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Research Articles

Ecosystems in construction management and urban development: a comprehensive review of conceptualizations and contributions

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Pages 162-181 | Received 01 Dec 2021, Accepted 08 Aug 2023, Published online: 21 Aug 2023

Abstract

To solve grand challenges, the collaboration between construction management and urban development professionals is essential. This article proposes that ecosystem conceptualizations can enhance our understanding of collaboration, but how these concepts contribute to this field is unclear. Therefore, a literature review is presented on how ecosystem concepts are operationalized in construction management and urban development research. The article classifies conceptualizations into seven categories and analyzes their potential for contributions to ecosystem theorizing. An ecosystem research agenda is developed, arguing that it can serve as a theoretical bridge between these disciplines. The article also highlights how research on ecosystems in the built environment sector can contribute to management and organization research fields more broadly. Notably, conceptualizations of ecosystems as project-based or location-based are valuable contributions to ecosystem research.

Introduction

Today’s societies are facing several grand challenges, including those outlined in the United Nations’ Sustainable Development Goals (SDG; United Nations Citation2022). These challenges are simultaneous, complex, and interdependent, with climate change acting as a “crisis multiplier” towards other Goals (United Nations Citation2022, p. 2). Given their complexity, these grand challenges are considered wicked problems (Churchman Citation1967), requiring a holistic approach that considers various system-level effects. Addressing these challenges necessitates collaboration between actors and areas of expertise.

To fully understand and address the grand challenges faced by society, it is important to consider the unique characteristics of different industries. In the built environment sector, addressing challenges (SDGs) such as climate action; good health and well-being; clean water and sanitation; affordable and clean energy; industry, innovation, infrastructure; and sustainable cities requires considering the fragmented nature of the industry (Dubois and Gadde Citation2002) and the resulting challenges of cooperation. Thomson et al. (Citation2021) argue that more integrated development approaches are needed and that urban professionals such as planners and designers must work closely with the construction industry to respond to these challenges (p. 874). This requires extensive coordination and orchestration between several actors and processes.

Developing a comprehensive understanding of how actors can effectively collaborate with each other is not only a practical problem faced by managers but also a theoretical problem, as any understanding is influenced by the thinker’s frame of reference. The management and organization research field provides a wealth of theories and concepts that aim to explain coordination between different actors and processes. These theories and concepts include institutional theory (DiMaggio and Powell Citation1983), value chain (Porter Citation1985), industrial clusters (Porter Citation1990), national and regional innovation systems (Freeman Citation1987, Lundvall Citation1992), sectoral innovation systems (Breschi and Malerba Citation1997), techno-economic networks (Callon et al. Citation1992), technological systems (Carlsson and Stankiewicz Citation1991, Bergek et al. Citation2008), interorganizational structures (Powell et al. Citation1996, Gulati et al. Citation2012), industrial ecology (Ehrenfeld Citation2000), open innovation (Chesbrough Citation2003), and business ecosystems (Moore Citation1993).

While the potential merits of comparing these theories or their applications in the context of built environment research are acknowledged, it is beyond the scope of this article. Instead, the article focuses on exploring the potential of ecosystem conceptualizations in construction management and urban development research. The use of ecosystem conceptualizations has seen a significant rise in recent years, with over 1400 research articles from over 100 research fields utilizing this approach (Vigren Citation2022). The diversity of theoretical and methodological approaches used to employ ecosystem concepts has been rich. The primary value of ecosystem concepts lies in their ability to analyze the system-level effects of competition and collaboration between various actors (Eriksson et al. Citation2019, Thomas and Autio Citation2020), as well as to identify complementarities and interdependence between actors (Jacobides et al. Citation2018). Moreover, ecosystem conceptualizations offer analytical tools that can transcend established industrial, contractual, or regional boundaries (Tsujimoto et al. Citation2018). Thus, ecosystem thinking has the potential to bridge different communities of expertise, such as construction management and urban development researchers, by providing a common language and framework for analysis (Thomson et al. Citation2021).

The purpose of the article is to increase an understanding of this emerging theoretical approach: this article presents a review of how ecosystem concepts are operationalized in construction management and urban development research and analyzes the potential for contributions based on ecosystem theorizing.

The first section introduces the frame of reference and key concepts that serve as the basis for the research. The subsequent section presents the method of structured literature review, which identifies and analyzes existing research that applies ecosystem concepts in the built environment research literature. The following section presents the analysis of the literature, followed by a discussion section that presents a research agenda for ecosystem research in construction management and urban development research, highlighting potential areas for contribution in management and organization research fields based on ecosystem theorizing. Finally, the conclusion section summarizes the main arguments and limitations of the study.

Business ecosystems

The concept of the business ecosystem was (re)introduced to the management research literature by Moore in 1993 in a Harvard Business Review article, in which he proposes that (1) a company should be viewed “not as a member of a single industry but as part of a business ecosystem that crosses a variety of industries”, (2) that in a business ecosystem, “companies coevolve capabilities around a new innovation”, and (3) that “every business ecosystem develops in four distinct stages: birth, expansion, leadership, and self-renewal — or, if not self-renewal, death” (Moore Citation1993, p. 76). Since 1993, several authors have applied, refined, extended, and criticized these central ideas. Notably, the concept of the business ecosystem has been extended to describe different types of interorganizational logics and contexts, giving rise to related ecosystem-concepts. Examples are entrepreneurial ecosystem (e.g. Stam and Spigel Citation2017), innovation ecosystem (e.g. Adner Citation2006), platform ecosystem (e.g. Gawer and Cusumano Citation2014), knowledge ecosystem (e.g. Clarysse et al. Citation2014), and industrial ecosystem (e.g. Tsvetkova and Gustafsson Citation2012), among others. It’s not the aim to introduce all the possible ecosystem conceptualizations that have been presented in previous literature, but to focus on the architypes.

Entrepreneurial ecosystems can be defined as “a set of interdependent actors and factors coordinated in such a way that they enable productive entrepreneurship within a particular territory” (Stam and Spigel Citation2017, p. 1). Therefore, the focus of the concept is on entrepreneurship within a determined geographical region, which differentiates entrepreneurial ecosystems from business ecosystems. A common example of an entrepreneurial ecosystem is Silicon Valley.

Innovation ecosystems can be defined as “the collaborative arrangements through which firms combine their individual offerings into a coherent, customer-facing solution” (Adner Citation2006, p. 2). Therefore, the concept focuses on joint innovation of products and services. On the other hand, as innovation can be a business objective of any business, the concepts of innovation and business ecosystems overlap significantly (Moore Citation1993; de Vasconcelos Gomes et al. Citation2018). The examples of innovation ecosystems by Adner (Citation2006) were mainly from manufacturing sectors, such as high-definition televisions.

Platform ecosystems can be defined based on industry platforms that “act as a foundation upon which external innovators, organized as an innovative business ecosystem, can develop their own complementary products, technologies, or services” (Gawer and Cusumano Citation2014, p. 417). Furthermore, industry platforms are a set of products, services, or technologies that are broadly used in an industry, which differentiates them from company or product platforms that are mainly developed for the business purposes of individual companies (Gawer and Cusumano Citation2014). Therefore, platform ecosystems are business ecosystems in which platforms have a central role. Common examples of platform ecosystems are from the software industry, in which firms such as Apple rely on multiple complementors in platform development.

Knowledge ecosystems are characterized by the primary activity of generating new knowledge and by being centered around knowledge hubs (e.g. Clarysse et al. Citation2014). Knowledge ecosystems differ from business ecosystems in that the knowledge is not necessarily used in business activities, and therefore the value creation processes in knowledge and business ecosystems are fundamentally different (Clarysse et al. Citation2014). Examples of knowledge ecosystems are knowledge hubs around universities and other research institutions.

The concept of industrial ecosystems originates from studies of industrial processes (Frosch and Gallopoulos Citation1989), and the concept has been associated with the concepts of industrial metabolism and industrial ecology (Erkman Citation1997), albeit analysis of the connections between these concepts are limited (Tsujimoto et al. Citation2018). A distinctive feature of the industrial ecosystem concept is that it focuses on resource flows (e.g. materials, energy, or money; Tsujimoto et al. Citation2018), and the system-level that is an outcome from these flows (Eriksson et al. Citation2019).

These mentioned concepts are not an exhaustive list of all conceptualizations in literature, but they represent the common ecosystem archetypes. Although there are differences between the concepts, it is noteworthy that with the shared origins and similar theoretical statements, the ecosystem conceptualizations represent a common, even if sometimes contradictory, system of ideas (Jacobides et al. Citation2018, Thomas and Autio Citation2020, Autio Citation2022, Thomas and Ritala Citation2022, Vigren Citation2022). Clarification of concepts has indeed been an important part of ecosystem research and numerous review articles have been published on the subject (Valkokari Citation2015, Oh et al. Citation2016, Alvedalen and Boschma Citation2017, Seppänen et al. Citation2017, Dedehayir et al. Citation2018, de Vasconcelos Gomes et al. Citation2018, Ferasso et al. Citation2018, Scaringella and Radziwon Citation2018, Tsujimoto et al. Citation2018, Cavallo et al. Citation2019, Gupta et al. Citation2019, Granstrand and Holgersson Citation2020, Yin et al. Citation2020, Mohammadi and Karimi Citation2021). This article differs from these earlier reviews by focusing on the operationalizations of ecosystem concepts in the built environment sector.

In conclusion, by today the loose metaphorical connection to ecological ecosystems has largely been abandoned, and a common perception of the concept has emerged among scholars. In general, ecosystems are communities of hierarchically independent yet interdependent heterogeneous actors that contribute to system-level value creation (Thomas and Autio Citation2020). Furthermore, collaboration and competition between the actors is an important system-creating and modifying process. This perspective highlights that ecosystem researchers have been interested in (1) individual actors, mostly organizations, that differ from each other (heterogeneous), (2) interdependencies between the actors (hierarchical independence, but interdependent though system-level value creation), (3) actors’ contributions to system-level value creation, (4) and the system-level outcomes of collaboration. Moreover, research has contextualized these ideas in many research fields, which has generated a rich set of theoretical statements about the nature of ecosystems in different contexts. For example, which actors and processes are important in ecosystems and what value is created in ecosystems is context-dependent.

Methodology

This section presents the rationale for the method choice and application of the methods used.

Approach to the literature review

This article presents a review of how ecosystem concepts are operationalized in construction management and urban development research and analyzes the potential for contributions based on ecosystem theorizing. First, the review is a structured literature review and follows the PRISMA guidelines (Moher et al. Citation2009), to the extent that the review shows step-by-step how the literature sample is searched, selected, and analyzed.

Second, the review is a confirmatory and concept-centric review (Webster and Watson Citation2002), meaning that the review confirms how concepts are used in literature. Confirmatory reviews can bring clarity to the use of concepts by focusing on the chosen conceptualizations, i.e. operationalizations, and the context in which concepts are used. A focus on conceptualizations represents a view in which concepts are considered as entities themselves. The latter view, a dispositional view of concepts (Baldwin Citation2008), emphasizes the meaning of concepts in use. Awareness of this distinction is relevant as the application of concepts vary in different research fields and borrowing of concepts from one context to another requires an understanding of both the concepts and the contexts of use. This is to say that theoretical concepts have an origin, and that application of concepts may change the meaning of concepts. Furthermore, a confirmatory review on an emerging research topic can help to consolidate knowledge and therefore create a solid foundation for further research (e.g. Webster and Watson Citation2002, Snyder Citation2019, Granstrand and Holgersson Citation2020).

Third, the literature sample is designed to be fit for satisfying the purpose of the review. Booth et al. (Citation2016) argue that a completely exhaustive review on any topic is not necessary to achieve a purpose of a review, and it would not practically be possible, as, for example, any combination of keywords and selection of scientific databases limits a review. Webster and Watson (Citation2002, p. 16) also state that an author should accumulate a “relatively complete census of relevant literature”. With the iterative testing of multiple data sources and keywords, and the selection of the keywords considered to be the most suitable, the literature sample in this article is extensive, but not exhaustive. Fourth, coding of the conceptualizations and theorizing, which is an integral part of the coding process, follows an approach by Gioia et al. (Citation2013). The following sections clarifies how literature was searched, selected, and analyzed.

Literature search and selection

The process was initiated by selecting databases for the literature search. Searches were carried out in the Scopus, Web of Science Core Collection, and Google Scholar databases. Various keyword combinations were experimented with, and the outcomes of the searches were examined thoroughly. The Web of Science Core Collection database was chosen as the source from which the literature sample was derived, as the results aligned with the topic of the review. Additionally, the obtained results covered relevant journals in the field of construction management and urban development, as well as journals from other disciplines.

To present a comprehensive review on various conceptualizations of ecosystems in construction management and urban development, an attempt has been made to capture as many articles as possible on ecosystems from the literature through the utilization of multiple search terms. Keyword combinations were selected () that capture a multitude of articles on the topic. The final keyword choice was informed by previous search results, reading of the literature, and reviewer comments. The following search term was used: [(“built environment” OR “real estate” OR “construction” OR “building” OR “facility management” OR “architecture” OR “facilities management” OR “property management” OR “city” OR “cities” OR “urban” OR “urban development” OR “habitat” OR “milieu”) AND (“business ecosystem” OR “innovation ecosystem” OR “entrepreneurial ecosystem” OR “entrepreneurship ecosystem” OR “platform ecosystem” OR “industrial ecosystem” OR “software ecosystem” OR “ecosystem theory” OR “knowledge ecosystem”)]. The first 14 terms cover a wide range of terms related to the field of construction management and urban development, and the following 9 terms, separated from the first set with an “AND”-operator, cover ecosystem terminology discussed in the previous section. The search was on the title, abstract and keywords of the article. The search resulted in 885 articles that were exported to Excel.

Figure 1. Literature search and selection.

Figure 1. Literature search and selection.

To refine the sample, articles that were published elsewhere than in peer-reviewed scientific journals were first removed (272 articles removed). This choice was made to focus on conceptualizations that have already passed the test of peer-review. Subsequently, articles published in other than the English language were removed (18 articles removed). Additionally, articles lacking an abstract or publication year in the database were also removed (54 articles removed).

As a final exclusion criterion, the abstracts were reviewed, and articles that clearly relate to ecosystems and construction management or urban development as activities associated with city planning, land use, district or building development, or related operations were included. Articles that did not directly address these topics were excluded (499 articles). Therefore, the research does not encompass, for instance, the subjects of economic development, social structures, technology policies, or other similar topics broadly situated in urban, regional, or ecosystem contexts. This type of research could also benefit from the utilization of ecosystem concepts provided that the conceptual relationship between an ecosystem and its context is well-defined. Nonetheless, in a significant portion of the research, the term “ecosystem” is employed as a label with minimal significance. Furthermore, articles concerning natural ecosystems or other biological systems, or those in other fields such as agriculture, computer science applications, or manufacturing, were eliminated. In conclusion, the final sample consisted of 42 selected articles.

Methods of literature analysis

The sample of 42 articles was analyzed in two stages. Initially, article meta-data was analyzed through the application of descriptive statistics and bibliometric analysis, the outcomes of which are presented in and . displays that the 42 articles were published in 31 different journals. It should be noted that the ecosystem is a niche theoretical concept in built environment research. On one hand, ecosystem articles have reached a wide range of readership, but on the other hand, the dispersion of articles in many journals may slow down the adoption of ecosystem perspectives as scholarly communities focusing on these perspectives remain small. further shows the number of articles per year of publication. Notably, the number of articles has grown rapidly in recent years, as more than half of the publications are published between 2020 and 2022.

Figure 2. Number of articles per year published.

Figure 2. Number of articles per year published.

Table 1. Sources: 42 articles in 31 journals.

Secondly, the articles were read, and excerpts were collected from them through an open coding process. These excerpts are sentences in which the authors explain what they mean by ecosystems. For example, Säynäjoki et al. (Citation2017, p. 9), develop a “platform ecosystem model for the Internet of Buildings”, and Kangas et al. (Citation2018, p. 4) develop a framework of “integrated energy service companies functions and impacts on customer’s building”. Excerpts were collected from all 42 articles, with each article containing one to three excerpts. The decision was made not to present all excerpts as part of the findings, considering the extensive size of the coding tables. Instead, the focus was directed towards presenting the higher-order conceptualizations (), similarly as in Gioia et al. (Citation2013, p. 7, see Figure on “Data structure”).

Figure 3. Data structure: ecosystem conceptualizations.

Figure 3. Data structure: ecosystem conceptualizations.

The collection of the excerpts is a confirmatory analysis (Webster and Watson Citation2002) as it views how authors have conceptualized ecosystems in the literature. The analysis focuses on excerpts from the literature and contains little interpretation by the reviewer. The review is also concept-centric, as it focuses on ecosystem conceptualizations. In practice, this is realized in that the selected excerpts are sentences in which the authors have described how they understand the concept of ecosystem or have used the concept in their research. The sample of excerpts is therefore narrow and does not focus on all the possible themes in the literature.

Excerpts were subsequently combined in an axial coding procedure, involving the identification of similarities and differences among the conceptualizations. For example, both statements by Säynäjoki et al. (Citation2017, p. 9) and Kangas et al. (Citation2018, p. 4) view ecosystems to be formed around smart buildings. These excerpts were labeled as a conceptualization titled “Ecosystems are formed around buildings.” Similarly, excerpts in which ecosystems were seen to be formed within and around cities were combined into one ecosystem conceptualization. In total, a count of 29 categories was reached ().

Finally, these categories were combined into higher-order conceptualizations through a selective coding process. As Gioia et al. (Citation2013, p. 6) point out, these higher-order conceptualizations are emergent theoretical categories that answer the question “What’s going on here?” theoretically. The higher-order conceptualizations were categorized based on the type of theoretical work carried out by the conceptualizations. Gioia et al. (Citation2013, p. 7) call this level of abstraction “aggregate dimensions”.

This categorization is not purely confirmatory, as it relies on interpretation of, and theorization based on the excerpts. This interpretative approach is however necessary and a natural part in any theory-building process.

Limitations

The focus on the conceptualizations is intentional, and the aim is not to ask how the authors have justified the choice of these conceptualizations in relation to the existing literature. Making such further analysis is methodologically and theoretically challenging and beyond the scope of this article, as the number of possible comparable theories or streams of literature is vast (see Introduction for a list of comparable theories). This is thus a limitation of this literature review.

Furthermore, it should also be noted that ecosystem concepts are often theoretically vague and diverse in the literature, which is characteristic of any emergent theoretical concept. As this review uses excerpts from the literature as sources of analysis, the problem is also reflected in the analysis. On the other hand, the contribution of this review is to build a structure for understanding ecosystem theories and future theorizing in the field of construction management and urban development. This is realized in that the article makes a synthesis of the existing conceptualizations in construction management and urban development and brings out contributions and research directions related to this research. Further research can extend this analysis e.g. by analyzing other literature samples or by comparing ecosystem conceptualizations with other theoretical concepts in construction management and urban development research.

Findings

The results of reading and analyzing the 42 articles are summarized in , which presents ecosystem conceptualizations in the literature (the left-hand column; 29 categories), higher-order conceptualizations (the column in the middle; 7 categories) that capture the essence of ecosystem theorizing in construction management and urban development research fields, and the type of theoretical work that the conceptualizations perform (the right-hand column; 3 categories). This section is structured according to the type of theoretical work the ecosystem conceptualizations perform: what ecosystems are, what they achieve, and how they function? Each section provides illustrations of higher-order conceptualizations and examples of more specific ecosystem conceptualizations.

What ecosystems are?

Ecosystems are location-based

The literature on ecosystems indicates that they are frequently perceived as location-based ecosystems (), which develop around buildings and within cities. In these conceptualizations, the construction, use, or maintenance of buildings effectively link various organizational actors to a specific location, or the positioning of actors in a particular place profoundly impacts the ecosystem’s functioning.

Figure 4. Illustration of location-based ecosystems: organizations are linked to each other and to a specific location.

Figure 4. Illustration of location-based ecosystems: organizations are linked to each other and to a specific location.

This perspective is most prominent in urban development and smart city research. For instance, Liu et al. (Citation2021, p. 2) propose that urban innovation ecosystems are complex adaptive systems that evolve and grow “through the metabolism of innovation elements” in cities. Similarly, Zhang et al. (Citation2018, p. 428) theorize on “an industrial ecosystem level metabolism framework”, while Jiang and Zheng (Citation2021) view cities as central hubs of innovation ecosystems. Additionally, Jo et al. (Citation2021) explore industrial ecosystems within smart cities, Zygiaris (Citation2013) focuses on innovation ecosystem characteristics in smart cities, and Gorelova et al. (Citation2021) examine the role of entrepreneurship in the development of smart cities.

Another perspective that underscores the location-specific characteristics of ecosystems is the notion that ecosystems emerge around buildings. This perspective is more commonly represented in the literature on construction management, yet examples of platform-based services also extend to the broader domain of urban development. For instance, Kangas et al. (Citation2018) examine the Finnish energy services ecosystem that provides energy-related services to the existing building stock. They write, “we employ the concept of an ‘ecosystem’ to have a brief look at how the barriers [to energy efficiency] are caused by or affect other actors besides energy service companies” (square brackets added; Kangas et al. Citation2018, p. 3). Likewise, Säynäjoki et al. (Citation2017) propose a platform ecosystem model comprising users, complementors, platform owners, and data derived from smart buildings. Analogous views are echoed in Andion et al. (Citation2020), Zygiaris (Citation2013), Han et al. (Citation2021), and Xu et al. (Citation2019). This literature further interrelates buildings, actors (e.g. building owners and tenants), and other ecosystem components with the concept of smart cities (cf. Han et al. Citation2021). This comprehensive, multilevel, and hierarchical vantage point has the potential to bridge construction management and urban development in forthcoming research.

Furthermore, the literature on smart cities, industries, and ecosystems commonly establishes interlinkages among these concepts. However, there is a lack of consensus regarding their definitions, as highlighted by Zygiaris (Citation2013), and their interconnections. Additionally, the articles vary in terms of how they perceive the level of analysis between these concepts. For example, some argue that smart cities are ecosystems themselves, while others suggest that they host multiple ecosystems. As a result, discussions on smart city and ecosystem policy and governance, including those concerning sustainability challenges at the local level, are theoretically inconsistent across the literature. This theoretical inconsistency presents a challenge for researchers and policymakers seeking to develop a comprehensive understanding of the relationships between these concepts and to formulate effective policies for smart city and ecosystem governance.

Finally, the conceptualization of ecosystems formed around buildings intersects with the common view that ecosystems are formed around technological systems, such as digital platforms. However, while technologies play a central role in both perspectives, the nature of the technologies differs significantly. In the case of ecosystems formed around buildings, the materiality and location of an ecosystem, as well as the locations of technologies and actors within the ecosystem, are critical for its overall functioning.

Ecosystems are formed around technologies

The literature on ecosystems highlights a prevalent theme of viewing ecosystems as formed around technologies or material value chains (). In these conceptualizations, technologies, digital platforms, or material value chains effectively link various organizational actors in the wider built environment sector.

Figure 5. Illustration of ecosystems formed around technologies: organizations are linked to each other and to a specific technology, a digital platform or a material value chain.

Figure 5. Illustration of ecosystems formed around technologies: organizations are linked to each other and to a specific technology, a digital platform or a material value chain.

Examples of technologies and material value chains include Building Information Modeling (BIM), as seen in studies by Aksenova et al. (Citation2019) and Yang et al. (Citation2020), artificial intelligence (AI) in works by Lammers et al. (Citation2021) and Xu et al. (Citation2019), and platforms, such as those examined by Kim and Kim (Citation2021), Xu et al. (Citation2019), Yang et al. (Citation2020), Rajakallio et al. (Citation2018), and Säynäjoki et al. (Citation2017). Other examples of materials and technologies around which ecosystems have emerged include concrete, as investigated by Kang (Citation2022), nanomaterials in the study by Shayakhmetov et al. (Citation2021), smart grid in the work by Planko et al. (Citation2019), integrated solutions in the article by Whyte (Citation2019), and wood as studied by Viholainen et al. (Citation2021) and Toppinen et al. (Citation2019). Across this literature, technologies or materials are consistently viewed as central components of ecosystems, with the ecosystem metaphor proving useful for describing actor constellations, interdependencies between actors, and challenges in industry transformation.

This literature draws on sociotechnical systems perspectives, which have a long tradition in construction management and urban development research (e.g. Sackey et al. Citation2015; cf. Bostrom et al. Citation2009). For instance, Aksenova et al. (Citation2019) found that while individual firms have adopted BIM, systemic change in the Finnish built environment business ecosystems has been limited. Yang et al. (Citation2020, p. 11) similarly concludes “there is a long way to go before the BIM-based project network in China transforms to be a self-updating, self-organizing, and highly efficient ecosystem”. Lammers et al. (Citation2021) and Xu et al. (Citation2019) provide similar views, with Lammers et al. (Citation2021) focusing on the evolution of AI knowledge practices in entrepreneurial ecosystems and Xu et al. (Citation2019) focusing on platform-oriented business models based on ecosystem thinking. Lammers et al. (Citation2021) suggest that understanding the dynamic processes in entrepreneurial ecosystems can help to form policies, while Xu et al. (Citation2019, p. 1) argue that ecosystem thinking can help overcome “a traditional, closed, and product-oriented approach” to the development of AI applications.

What ecosystems achieve?

Industry transformation requires change management

The literature not only defines what ecosystems are, but also provides various conceptualizations of what ecosystems achieve. One such prevalent theme is the use of ecosystem concepts to understand industry transformation and change management ().

Figure 6. Illustration of industry transformation through an ecosystem lens.

Figure 6. Illustration of industry transformation through an ecosystem lens.

Kim and Ha (Citation2021), for example, examine the challenges facing the implementation of building energy management technologies in the built environment industry. They identify economic, institutional, technological, and social systems-related barriers and suggest that factors such as payback period, electricity pricing schemes, upfront costs, energy consumption and CO2 emission reduction, and government support systems require industry transformation and change management in ecosystems. Similarly, Kangas et al. (Citation2018) conduct a study on integrated energy service companies and their associated ecosystems of actors. They identify supply-side barriers such as economic and market, behavioral, organizational, and institutional barriers to achieving energy efficiency in the built environment sector. The authors emphasize the lack of technical skills, disinterest in energy efficiency improvements, and non-functional regulation as the most significant hindering factors and discuss different ecosystem actor roles in addressing these challenges.

Scholars have also examined technological path dependencies within ecosystems. Yang et al. (Citation2020, p. 1) argue that “ecosystem theory provides a new perspective for studying the development of the architecture engineering and construction (AEC) industry”. Specifically, they suggest that analyzing path dependencies in BIM innovation ecosystems can shed light on the interdependencies and symbiosis among ecosystem participants. Similarly, Liu et al. (Citation2021) contend that urban innovation ecosystems are also path dependent. They identify five key factors for Beijing’s innovation ecosystem: talent, innovation subjects, resources, innovation environment, and innovation network, and they stress the importance of creating a supportive environment and culture for innovation. Lastly, Jo et al. (Citation2021) investigate the structural changes within Korea’s smart city industrial ecosystems over the past 60 years. From labor-intensive manufacturing to emerging high-tech industries and services in smart cities, they argue that smart cities represent a new industrial paradigm that integrates the built environment and ICTs.

Common to this literature is that ecosystem conceptualizations are used to understand organizational, technological, and cultural barriers to change. Analyses of barriers have led to proposals for policy and change management. This view is prevalent in the literature on urban development.

New value based on ecosystem collaboration

The literature explores the mechanisms of value creation within ecosystems and examines the results of collaborative efforts within these ecosystems. It underscores the crucial role of collaboration for value creation and highlights that value is generated at the ecosystem level (Eriksson et al. Citation2019) ().

Figure 7. Illustration of ecosystem-level value creation.

Figure 7. Illustration of ecosystem-level value creation.

Many authors have theorized on the value creation mechanisms in ecosystems, including Säynäjoki et al. (Citation2017), Rajakallio et al. (Citation2018), Toppinen et al. (Citation2019), Xu et al. (Citation2019), and Kim and Kim (Citation2021). For instance, Viholainen et al. (Citation2021, p. 1) note that the construction industry has “a strong path dependency towards applying well-established construction materials and methods, as well as partnerships”, and argue that a mindset shift is necessary to develop sustainability-driven logic and create value for consumers. Similarly, Säynäjoki et al. (Citation2017) focus on the more effective use of data from smart buildings and digitalization for value creation.

Another valuable perspective in ecosystem research is to examine the outcomes of ecosystem collaborations, with a particular focus on value creation. For instance, Zhang et al. (Citation2018) investigated construction and demolition waste generation in Shanghai from 2004 to 2014, while several other studies have examined energy efficiency (Groesser Citation2014, Kangas et al. Citation2018, Lazarevic et al. Citation2019, Peltokorpi et al. Citation2019, Kim and Ha Citation2021). Additionally, various authors have conceptualized other sustainability-related outcomes of ecosystem collaborations (Zygiaris, Citation2013, Toppinen et al. Citation2019, Planko et al. Citation2019, Andion et al. Citation2020, Jo et al. Citation2021, Lammers et al. Citation2021, Viholainen et al. Citation2021). Moreover, several authors provide explanations on how ecosystem collaboration may foster innovation (Planko et al. Citation2019, Chen et al. Citation2020, Al-Gasim et al. Citation2021, Greco et al. Citation2021), while Xu et al. (Citation2019), Toppinen et al. (Citation2019), and Rajakallio et al. (Citation2018) argue that platforms can facilitate the emergence of new business models within ecosystems.

In summary, the literature reviewed highlights diverse value-creation mechanisms and outcomes resulting from ecosystem collaboration. What unites these works is the recognition that new industry practices are essential for value creation, and that collaboration is a key enabler of this process. The ecosystem perspective offers a valuable lens for identifying value-creation opportunities in the fragmented sector.

How do ecosystems function?

Ecosystems have context specific logics and boundary conditions

The literature on ecosystems also considers the internal logics of ecosystems, such as their processes, boundary conditions, and context-specific logics ().

Figure 8. Illustration of ecosystem boundary conditions: context-specific logics and ecosystem types specify boundary conditions of ecosystems.

Figure 8. Illustration of ecosystem boundary conditions: context-specific logics and ecosystem types specify boundary conditions of ecosystems.

Many of the reviewed articles differentiate between the types of ecosystems they study, which defines ecosystem boundary conditions. For example, Kangas et al. (Citation2018), Yang and Tang (Citation2018), Lazarevic et al. (Citation2019), Toppinen et al. (Citation2019), Kim and Kim (Citation2021), and Viholainen et al. (Citation2021) focus on various forms of business ecosystems, where the main logics revolve around business performance and innovation in the built environment. For example, Lazarevic et al. (Citation2019, p. 1) state that “we present two critical case studies analysing the emergence of business ecosystems around companies offering integrated-solutions at the intersection of building and energy regimes in Finland”, which clarifies conceptual, structural, and temporal dimensions of their ecosystem conceptualization (cf. Phillips and Ritala, Citation2019).

In contrast, Zhang et al. (Citation2018), Han et al. (Citation2021), Jo et al. (Citation2021), Kim and Ha (Citation2021), and Kang (Citation2022) define ecosystems as industrial ecosystems. Han et al. (Citation2021) operationalize the concept of industrial ecosystems by studying “the spatiotemporal patterns of industry mix between and within office buildings in Sydney”. Additionally, other studies focus on urban innovation ecosystems (Zygiaris Citation2013, Liu et al. Citation2021), digital entrepreneurial ecosystems (Gorelova et al. Citation2021), entrepreneurial ecosystems (Mack and Mayer Citation2016, Lammers et al. Citation2021), and social innovation ecosystems (Andion et al. Citation2020).

Furthermore, some authors, such as Rajakallio et al. (Citation2018), have not only borrowed existing theories from organization and management research fields, but have also reconceptualized, tested, and developed these theories to fit the context-specific logics of ecosystems. For example, Rajakallio et al. (Citation2018) first examined the constructs of modularity, interdependence, and technical flexibility from platform ecosystem theory literature outside the built environment research context, and then redefined them to fit the context of construction management and urban development. In doing so, they crafted theoretical instruments that were better suited to their purpose. They state, “The literature review conducted and the empirical results both confirm that the approach [use of platform ecosystem conceptualizations] has a good potential fit within an urban development context, and the operationalization of the necessary boundary conditions for a platform ecosystem’s success makes it possible to identify key areas for improvement within the current process” (square brackets added; Rajakallio et al. Citation2018, p. 101). As a result, they were able to extend urban development theories and contribute to the platform ecosystem literature.

Another approach to theory development in ecosystem research is to describe context-specific ecosystem logics in the built environment industry. Aksenova et al. (Citation2019) provide a rich description of the context-specific ecosystem logics in their study of the Finnish architecture, engineering, and construction industry. Others have focused on specific theoretical concepts within the ecosystem research literature, such as coopetition (Planko et al. Citation2019), urban metabolism (Zhang et al. Citation2018), or co-evolution of standards (Groesser Citation2014).

In summary, authors in the literature tend to specify different types of ecosystems based on their research interests, which also serves to signal their target audience. Although the choice of ecosystem concept is primarily driven by the dominant organizing logics, it can have implications for the positioning of the work within a particular research literature. Additionally, ecosystem concepts are frequently used superficially in ecosystem research, raising concerns about their value (Vigren Citation2022). Nevertheless, articles that prioritize conceptual clarity illustrate how ecosystem concepts can advance our understanding of construction management and urban development.

Ecosystems form around project-logic

A recurring motif in this literature is the notion that ecosystems revolve around project-based organizing (). While this perspective is prevalent in construction management research, the ecosystem lens offers the potential to broaden its scope from solely construction activities to encompass a broader range of actor constellations within the sector and its institutional framework.

Figure 9. Illustration of ecosystems formed around project-logic.

Figure 9. Illustration of ecosystems formed around project-logic.

Examples of research that view ecosystems as formed around project-based organizing include Whyte’s (Citation2019) and Chen et al.'s (Citation2020) articles, which focus on ecosystems that form around megaprojects. Whyte (Citation2019, p. 178) writes: “This approach [a process perspective to articulate the direction and set of transitions] is taken here in a study of the evolving digital innovation ecosystem in the London megaproject ecology, focusing on 15 years of industry/government initiatives, the experience of digital delivery in megaprojects, and the growing links across the ecosystem” (square brackets added). Similarly, Chen et al. (Citation2020) examine how ecosystem captains build and operate a megaproject innovation ecosystem. Other studies have explored ecosystem collaboration related to construction projects, such as those by Planko et al. (Citation2019), Toppinen et al. (Citation2019), Al-Gasim et al. (Citation2021), and Viholainen et al. (Citation2021). However, this view of ecosystems formed around project-logic is more common in construction management literature, less common in urban development literature, and marginal in ecosystem research outside of the built environment context.

Ecosystems have actors with complementary roles

A distinctive feature of the ecosystem literature is its focus on the complementary roles played by actors (), as well as their non-hierarchical relationships. While this has been of interest in both construction management and urban development research, the specific actor groups studied differ between these fields.

Figure 10. Illustration of complementary roles of ecosystem actors.

Figure 10. Illustration of complementary roles of ecosystem actors.

One example of a study that explores actor roles in smart building ecosystems is Xu et al. (Citation2019), where the authors discuss the roles of customers, facility managers, and real estate operators in the transition towards increased use of AI in smart building ecosystems. Similarly, Säynäjoki et al. (Citation2017) identify actor roles related to the commercialization of data from smart buildings and extend the analysis from ecosystem description to foresight by asking interviewees to generate ideas of new business models and new modes of interaction. They highlight the importance of recognizing suitable roles for specific real estate and construction sector stakeholders and suggest that this area warrants further research. Another example is the study by Andion et al. (Citation2020), which identifies actor roles and interactions in the social innovation ecosystem in the city of Florianopolis.

A second group of researchers have examined actor roles in project-based ecosystems. For instance, Rajakallio et al. (Citation2018) investigated the roles of municipalities and private-sector actors in urban development and discovered that developers played a crucial role in pursuing project complementarities, acting as centralized ecosystem coordinators and system integrators. Similarly, Viholainen et al. (Citation2021) utilized ecosystem conceptualizations to analyze actor roles in a construction business ecosystem throughout the design, construction, and use phases of wooden multi-story buildings. Other examples include Chen et al. (Citation2020), who focused on the role of “ecosystem captains” in megaproject innovation ecosystems, and Planko et al. (Citation2019), who studied actor roles and interactions in Dutch smart grid development.

The third context that emerges from the literature concerns wider industry transformation, particularly the adoption of Building Information Modeling (BIM). For instance, Aksenova et al. (Citation2019) investigate the roles of government actors, public agencies, industry players, and academics in the introduction of BIM in the construction sector’s business ecosystems, while Yang et al. (Citation2020) analyze the roles of government agencies, research institutes, owners, and various firms (design, construction, consulting, and software) in BIM implementation in China. Other scholars have examined the roles of entrepreneurs in ecosystems (Gorelova et al. Citation2021; Lammers et al. Citation2021; Shayakhmetov et al. Citation2021), technology service providers (PropTech; Kim and Kim Citation2021), and universities (Ardito et al. Citation2019; Al-Gasim et al. Citation2021; Shayakhmetov et al. Citation2021).

To summarize, this literature has demonstrated that the conceptualizations of ecosystems and actor roles have been valuable in helping to make sense of the complex issues related to smart buildings, construction projects, and wider industry transformation in the built environment sector. These conceptualizations have been used to identify the various actor roles involved in these processes, including customers, facility managers, real estate operators, municipalities, private-sector actors, ecosystem captains, entrepreneurs, technology service providers, and universities. By examining these actor roles, researchers have gained insights into the ways in which different actors interact and collaborate within these ecosystems, as well as the challenges and opportunities that arise in the context of these collaborations. Ultimately, this literature has highlighted the importance of understanding the roles and interactions of actors in built environment ecosystems, and the potential of ecosystem conceptualizations to facilitate this understanding.

Towards an ecosystem research agenda

Although ecosystem remains a niche theoretical concept in construction management and urban development research, its usage is growing rapidly, and existing research has demonstrated the utility of ecosystem concepts in these research fields. This section will focus on the implications of ecosystem conceptualizations in construction management and urban development research, as well as management and organization research more broadly.

The potential of ecosystem theorizing in construction management and urban development research

Location-based ecosystems

Recognizing buildings or construction sites as defining features in ecosystems represents a natural progression in construction management theorization. Such ecosystems comprise actors who contribute to the construction of buildings and related services, leading to system-level value creation (Eriksson et al. Citation2019). The interdependence of actors in these ecosystems is evident through construction activities, location, buildings, common goals, and complementarities (Jacobides et al. Citation2018; Thomas and Autio Citation2020). However, the actors are also independent of one another, given that construction involves a wide range of heterogeneous companies and stakeholders.

The location-based ecosystem perspective in urban development research considers cities as ecosystems or hosts of ecosystems. This view aligns closely with entrepreneurial ecosystem conceptualizations, which focus on actors contributing to value creation within a specific territory (Stam and Spigel Citation2017). However, future research should not be limited to this loose conceptualization. A more productive approach would be to define the actors and processes that operate within location-based ecosystems, such as smart cities, and investigate how urban planning and design can guide them towards desired outcomes. Additionally, ecosystem conceptualizations can inform policy formulation by providing descriptive tools that aid in understanding the context of implementation.

One potential way to bridge the gap between construction management and urban development research would be to adopt a life cycle perspective, which considers the entire life span of a building, from design and construction to use, maintenance, and disposal. Research could explore how ecosystems influence the various phases of the building life cycle, and how the actors involved in these ecosystems contribute to system-level value creation over time. For example, researchers could examine how urban planning and design decisions affect the value creation processes in construction management, or how different actors are connected to each other at the ecosystem level beyond the disciplinary boundaries.

Technology-based ecosystems

The existing research in construction management has utilized ecosystem theory to understand how ecosystems are formed around technologies or material value chains. This approach has helped to identify system-level value creation, which can manifest as innovation, efficiency, or new services. While technology-focused ecosystem research in urban development is relatively scarce, it has the potential to serve as a theoretical link between the built environment disciplines. However, it is important to avoid limiting the theorization to specific groups to fully capitalize on the potential of ecosystem conceptualizations in this area.

Future research in construction management and urban development could benefit from exploring the potential of industry platforms and platform ecosystems (Gawer and Cusumano Citation2014), which have been shown to enable the creation of innovative services in the built environment sector. Prominent examples of such technologies include operating systems for buildings and tenant-experience platforms. Industry platforms are broadly used across industry, enabling them to be a valuable tool for crossing disciplinary and regional boundaries. With the ongoing development of new data sources and platforms, future research could focus on exploring the opportunities and challenges associated with these ventures.

Similar sociotechnical systems perspectives have been extensively used in construction management and urban development research, as seen in studies by Sackey et al. (Citation2015) and Bostrom et al. (Citation2009). However, the introduction of ecosystem metaphors in such theorization adds a new dimension to the literature, potentially leading to fresh insights into the interdependence of technical and social aspects. As Ritala and Almpanopoulou (Citation2017, p. 40) suggest, there are other ecological analogies that shape our understanding of the underlying phenomena in technology and management literature. These analogies include evolutionary economics (Nelson and Winter Citation1982), project ecology (Grabher Citation2002; Hedborg and Karrbom Gustavsson Citation2020), ambidexterity (Liu et al. Citation2012; O'Reilly and Tushman Citation2013), and metabolism (Zhang et al. Citation2018). Further research that incorporates these conceptualizations could lead to a more nuanced understanding of the complex relationships between technical and social aspects in construction management and urban development research.

Industry transformation and change management

Ecosystem concepts have proven valuable in addressing the challenges of industry transformation and change management within the built environment sector. Specifically, perspectives on path dependency in socio-technical systems and overcoming organizational, technological, and cultural barriers are relevant for driving systemic change in the industry. These studies transcend the boundaries of construction management and urban development research, as they focus on broad systemic changes in the built environment industry.

The literature on ecosystem conceptualizations has been applied to understand organizational, technological, and cultural barriers to change in the built environment sector. While similar analyses have been conducted in previous research, the ecosystem perspective offers new opportunities for theorizing how different analytical categories, such as economic, institutional, technological, and social systems, relate to each other. This approach has been particularly prevalent in urban development literature, where ecosystem conceptualizations have led to proposals for policy and change management.

However, this literature does not clearly differentiate between the concepts of industry and ecosystems, which can lead to theoretical inconsistencies in discussions about the implications of the findings. To address this issue, industries could be specified based on the types of actors and outputs, while ecosystems could be seen to cross industrial boundaries, as they focus on system-level value creation (Eriksson et al. Citation2019). Without such definitions, there is a risk that vague theories produce implications whose boundary conditions are not clear. Therefore, it is important for future research to clarify these concepts and their relationships to avoid confusion and ensure theoretical coherence.

Opportunities for future research in ecosystem concepts in built environment transformation relate to identifying the needs for change, the actors involved, and the processes required to facilitate change. Ecosystem mapping, which involves identifying actor roles, responsibilities, and workflows, can be a useful tool for this purpose. Additionally, addressing bottlenecks in workflows, governance structures, and conducting transformative, action-oriented research in business studies could play a critical role in supporting industry transformation (Provan and Kenis Citation2008; Gustafsson and Tsvetkova Citation2017; Eriksson et al. Citation2019).

Processes of value creation and ecosystem collaboration

While construction management and urban development have different value-creation processes by nature, research on ecosystem concepts may reveal commonalities between these two fields. Ecosystem research in both fields highlights the importance of collaboration in enabling new mechanisms for value creation such as reducing waste, promoting innovation and sustainability, and facilitating new business models through platforms. Thus, the application of ecosystem theories in both disciplines is similar.

However, differences arise from the distinct actor constellations, processes, and outcomes of value-creating activities in each field. For instance, construction management may involve a more hierarchical organizational structure with a focus on project completion within budget and timeline constraints, while urban development may involve a broader stakeholder network and a more long-term perspective on sustainable urban growth.

Construction management and urban development require collaboration among numerous actors. Research in the built environment sector has long been interested in collaboration models, and ecosystem conceptualizations could provide new insights into how to orchestrate ecosystem activities among non-hierarchically governed actors (Thomas and Autio Citation2020). Future research could explore how roles and orchestration are theorized in relation to the technological, economic, institutional, and behavioral layers of ecosystem orchestration (Autio Citation2022). Additionally, the research could explore the emergence of ecosystems (e.g. Thomas and Ritala Citation2022) and how this impacts roles and orchestration. Currently, these aspects are under-theorized in the literature, indicating the need for further research in this area.

The sharing of data to industry platforms and the resulting cooperation and competition among actors are interesting topics for future research (Rajakallio et al. Citation2018). To investigate these issues, researchers could draw on concepts such as digital platform architectures (Tiwana et al. Citation2010) and network effects (Gawer and Cusumano Citation2014). These perspectives have the potential to enrich the existing research on BIM and to open up new research streams related to platform ecosystems.

Context specific logics and boundary conditions

Ecosystem research in the built environment has made significant strides in recent years, with studies testing the applicability of ecosystem concepts in various research contexts (Pulkka et al. Citation2016, Rajakallio et al. Citation2018, Toppinen et al. Citation2019, Vosman et al. Citation2021, Vigren et al. Citation2022). These studies provide evidence that the ecosystem concept is highly relevant in the built environment sector and holds the potential for further contributions.

In the fields of construction management and urban development, ecosystem research has mainly focused on the application of ecosystem concepts to understand value creation, collaboration, and platform-based business models. However, there are still many research gaps to be addressed, including the study of different types of ecosystems.

For instance, knowledge ecosystems (Clarysse et al. Citation2014, Aksenova et al. Citation2019), have received little attention in the built environment sector, despite their potential role in driving innovation and competitiveness. Future research could explore how knowledge is generated, transferred, and applied in different business ecosystems, and how this affects the development of new products, services, and processes.

Moreover, the emergence of entrepreneurial ecosystems, such as PropTech and ConTech, raises important questions about their relations with other business ecosystems in the sector. Investigating these relations could shed light on how digital technologies are changing the industry landscape and creating new opportunities for value creation and collaboration.

To fully leverage the potential of ecosystem conceptualizations in the built environment, it is also important to define the different components of ecosystems, including actors, relationships, activities, assets, and outcomes. By adopting a more comprehensive ecosystem perspective, researchers can develop more nuanced and context-specific insights into the dynamics of the industry and the challenges of transformation and innovation.

Finally, it is important to acknowledge the specificity of contexts and clearly define ecosystem boundary conditions (Phillips and Ritala Citation2019) as quality criteria for ecosystem research. This aspect is often neglected, both in general ecosystem literature and in the built environment ecosystem research. As Autio (Citation2022) points out, the term “ecosystem” has been used to describe a wide range of organizational collectives. Articles that demonstrate high conceptual clarity and provide clear definitions of ecosystem boundary conditions can advance our understanding of construction management and urban development. Furthermore, adopting a context-specific approach to ecosystem research can help identify and address unique challenges and opportunities in different settings.

Project-logic in ecosystems

The view of the ecosystem as formed around project-based organizing is widely accepted in construction management literature, as the construction industry is largely project-based. This makes the ecosystem concept valuable for describing groups of actors formed around projects, such as megaprojects (Whyte Citation2019, Chen et al. Citation2020), and the relationships between those actors between projects. Thus, the ecosystem concept may complement the literature on temporary organizing (Packendorff et al. Citation1987, Söderlund et al. Citation2014, Bakker et al. Citation2016) and project ecology (Grabher, Citation2002, Hedborg and Karrbom Gustavsson Citation2020), providing a broader and more comprehensive analysis of construction industry ecosystems.

Additionally, the ecosystem approach could enhance the understanding between construction management and urban development by expanding the analysis from projects to the level of actors and system-level value creation. For example, research could use ecosystem conceptualizations to examine the impact of construction projects on physical appearance, functionality, and livability of urban areas, or impacts on employment opportunities in local communities.

Actors and roles

The existing literature on ecosystems in the built environment identifies various actors and their roles, such as universities, entrepreneurs, and technology service providers, among others. Although the description of actors and their roles is context-bound, there is no theoretical distinction made between construction management and urban development. However, establishing such a theoretical connection could facilitate more integrated development approaches in research on construction management and urban development (Thomson et al. Citation2021). Furthermore, future research could consider new actor types. For instance, building users, service providers (e.g. banks, financiers, architects, engineers, consultants, and construction workers), and public administration are underrepresented in the literature.

In contrast, ecosystem literature outside of the built environment research context offers a rich description of actor types, such as central actors (Zahra and Nambisan Citation2012), complementary actors (Kapoor and Lee Citation2013), individuals (Williamson and De Meyer Citation2012), intermediaries (Stam and van de Ven Citation2021), users (Mäkinen et al. Citation2014), catalysts (Brusoni and Prencipe Citation2013), and other partners (Adner and Kapoor Citation2010). By considering these actor types in the built environment context, future research could provide more integrated development approaches in construction management and urban development.

Potential for contribution in management and organization research field

Developing and applying theories has been a longstanding subject of debate and criticism among scholars in both construction management and urban development (Betts and Lansley Citation1993, Seymour et al. Citation1997, Seymour et al. Citation1998, Runeson Citation1997, olde Scholtenhuis and Dorée Citation2014, Leiringer and Dainty Citation2017, Volker Citation2019, Chan Citation2020). These debates on the style of theorizing are common across various research fields (Abend Citation2008), and they have remained relevant as these fields have matured. In this regard, Leiringer and Dainty (Citation2017, p. 2) advocate for “theoretical diversity,” while Chan (Citation2020) argues for the construction management field to have a strong theoretical grounding and suggests the proposal of new models or metaphors to better understand phenomena. Ecosystem conceptualizations align with this tradition of borrowing ideas from other fields and addressing the need for new concepts and metaphors. On the other hand, to ensure the development and recognition of construction management and urban development research, scholars such as Leiringer and Dainty (Citation2017), Styre (Citation2017), and Bresnen (Citation2017) emphasize the importance of this research contributing to other research fields.

The ecosystem theorizing presented in this review offers numerous opportunities for such contributions.

  • First, location-based conceptualizations of ecosystems contribute to mainstream ecosystem research by emphasizing materiality and location, which have been under-theorized themes in ecosystem research.

  • Second, the focus on technologies such as BIM and buildings complements platform ecosystem research by highlighting the materiality and location of technologies — which is not necessarily the case in other types of platform ecosystems.

  • Third, research on industry transformation and change management can complement ecosystem research by studying the actors that need to complement each other for system-level value creation to emerge.

  • Fourth, the fragmented nature of the built environment sector provides an interesting context for research on value creation and ecosystem collaboration.

  • Fifth, the built environment sector provides a unique context for testing and developing ecosystem concepts that originate from high-tech sectors.

  • Sixth, project-based ecosystem research can increase the understanding of ecosystem dynamics and is a contribution to mainstream ecosystem research that traditionally focused on other features of ecosystems. Moreover, although ecosystems are acknowledged to be dynamic, they have often been studied as static systems. Here, project-based ecosystem research could increase the understanding of ecosystem dynamics.

  • Seventh, the unique characteristics of the built environment sector result in different ecosystem actors and roles, making it distinct from ecosystems in other contexts.

To ensure the wider dissemination of these contributions beyond construction management and urban development research fields, future research needs to make them more explicit. Additionally, as these conceptualizations are still in their early stages, they require further testing and critique to fully understand their potential contribution to ecosystem research.

Conclusion

In the context of solving grand challenges in construction management and urban development, Thomson et al. (Citation2021, p. 874) argue that an integrated approach between the two professions is essential. To achieve this, there needs to be an understanding of the ways in which actors need to collaborate in order to solve grand challenges through system-level value creation. The article proposes that ecosystem conceptualizations can increase understanding of collaboration in these fields, as ecosystems are communities of actors that contribute to system-level value creation (Thomas and Autio Citation2020), and collaboration between actors plays a crucial role in creating and modifying ecosystems, as well as in achieving system-level goals (Eriksson et al. Citation2019), such as sustainable development goals.

A structured review of 42 articles identifies seven conceptualizations of what ecosystems are, what they achieve and how they function, including location-based, project-based and technology-centered ecosystems. The article develops an ecosystem research agenda for the construction management and urban development fields, suggesting that the ecosystem concept can act as a theoretical bridge between the disciplines. Additionally, the article highlights the potential contributions of construction management and urban development research to the broader field of ecosystem research. The main limitation of the article is that it does not compare ecosystem conceptualizations with other theories or their application in the context of built environment research. The article contributes to the debate on a theory-driven understanding of collaboration for overcoming grand challenges in these fields.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available in Web of Science Core collection at [https://clarivate.com/].

References

  • Abend, G., 2008. The meaning of ‘theory’. Sociological theory, 26 (2), 173–199.
  • Adner, R. and Kapoor, R., 2010. Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic management journal, 31 (3), 306–333.
  • Adner, R., 2006. Match your innovation strategy to your innovation ecosystem. Harvard business review, 84 (4), 98.
  • Aksenova, G., et al., 2019. From Finnish AEC knowledge ecosystem to business ecosystem: lessons learned from the national deployment of BIM. Construction management and economics, 37 (6), 317–335.
  • Al-Gasim, Z., Senin, A.A., and bin Yusoff, M.E., 2021. A review and comprehensive analysis of the performance of university–construction industry collaboration. Civil engineering journal, 7 (4), 763–774.
  • Alvedalen, J. and Boschma, R., 2017. A critical review of entrepreneurial ecosystems research: Towards a future research agenda. European planning studies, 25 (6), 887–903.
  • Andion, C., Alperstedt, G.D., and Graeff, J.F., 2020. Social innovation ecosystems, sustainability, and democratic experimentation: a study in Florianopolis, Brazil. Revista de administração pública, 54, 181–200.
  • Ardito, L., et al., 2019. The role of universities in the knowledge management of smart city projects. Technological forecasting and social change, 142, 312–321.
  • Autio, E., 2022. Orchestrating ecosystems: a multi-layered framework. Innovation, 24 (1), 96–109.
  • Bakker, R.M., et al., 2016. Temporary organizing: Promises, processes, problems. Organization studies, 37 (12), 1703–1719.
  • Baldwin, M.A., 2008. Concept analysis as a method of inquiry. Nurse researcher, 15 (2), 49–58.
  • Bergek, A., et al., 2008. Analyzing the functional dynamics of technological innovation systems: A scheme of analysis. Research policy, 37 (3), 407–429.
  • Betts, M. and Lansley, P., 1993. Construction management and economics: a review of the first ten years. Construction management and economics, 11 (4), 221–245.
  • Booth, A., Sutton, A., and Papaioannou, D., 2016. Systematic approaches to a successful literature review. 2nd ed. London: Sage.
  • Bostrom, R.P., Gupta, S., and Thomas, D., 2009. A meta-theory for understanding information systems within sociotechnical systems. Journal of management information systems, 26 (1), 17–48.
  • Breschi, S. and Malerba, F., 1997. Sectoral innovation systems: technological regimes, Schumpeterian dynamics, and spatial boundaries. Systems of innovation: technologies, institutions and organizations, 1, 130–156.
  • Bresnen, M., 2017. Being careful what we wish for? Challenges and opportunities afforded through engagement with business and management research. Construction management and economics, 35 (1–2), 24–34.
  • Brusoni, S., and Prencipe, A., 2013. The organization of innovation in ecosystems: problem framing, problem solving, and patterns of coupling. In: R. Adner, J.E. Oxley, and B.S. Silverman, eds. Collaboration and competition in business ecosystems, advances in strategic management. Vol. 30. Bingley: Emerald Group Publishing Limited, 167–194.
  • Callon, M., et al., 1992. The management and evaluation of technological programs and the dynamics of techno-economic networks: The case of the AFME. Research policy, 21 (3), 215–236.
  • Carlsson, B., and Stankiewicz, R., 1991. On the nature, function and composition of technological systems. Journal of evolutionary economics, 1 (2), 93–118.
  • Cavallo, A., Ghezzi, A., and Balocco, R., 2019. Entrepreneurial ecosystem research: present debates and future directions. International entrepreneurship and management journal, 15 (4), 1291–1321.
  • Chan, P.W., 2020. Revisiting basics: theoretically-grounded interesting research that addresses challenges that matter. Construction management and economics, 38 (1), 1–10.
  • Chen, H., et al., 2020. The roles of captains in megaproject innovation ecosystems: the case of the Hong Kong-Zhuhai-Macau Bridge. Engineering, construction and architectural management, 28 (3), 662–680.
  • Chesbrough, H. W., 2003. Open innovation: The new imperative for creating and profiting from technology. Boston: Harvard Business Press.
  • Churchman, C., 1967. Wicked problems. Management science, 14 (4), 141–142.
  • Clarysse, B., et al., 2014. Creating value in ecosystems: crossing the chasm between knowledge and business ecosystems. Research policy, 43 (7), 1164–1176.
  • Dedehayir, O., Mäkinen, S.J., and Ortt, J.R., 2018. Roles during innovation ecosystem genesis: A literature review. Technological forecasting and social change, 136, 18–29.
  • de Vasconcelos Gomes, L.A., et al., 2018. Unpacking the innovation ecosystem construct: evolution, gaps and trends. Technological forecasting and social change, 136, 30–48.
  • DiMaggio, P.J. and Powell, W.W., 1983. The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. American sociological review, 48 (2), 147–160.
  • Dubois, A. and Gadde, L.E., 2002. The construction industry as a loosely coupled system: implications for productivity and innovation. Construction management and economics, 20 (7), 621–631.
  • Ehrenfeld, J.R., 2000. Industrial ecology: paradigm shift or normal science? American behavioral scientist, 44 (2), 229–244.
  • Eriksson, K., et al., 2019. Projects in the business ecosystem: the case of short sea shipping and logistics. Project management journal, 50 (2), 195–209.
  • Erkman, S., 1997. Industrial ecology: an historical view. Journal of cleaner production, 5 (1–2), 1–10.
  • Ferasso, M., Takahashi, A.R.W., and Gimenez, F.A.P., 2018. Innovation ecosystems: a meta-synthesis. International journal of innovation science, 10 (4), 495–518.
  • Freeman, C., 1987. Technology and economic performance: lessons from Japan. London: Pinter Publishers.
  • Frosch, R.A., and Gallopoulos, N.E., 1989. Strategies for manufacturing. Scientific American, 261 (3), 144–153.
  • Gawer, A., and Cusumano, M.A., 2014. Industry platforms and ecosystem innovation. Journal of product innovation management, 31 (3), 417–433.
  • Gioia, D.A., Corley, K.G., and Hamilton, A.L., 2013. Seeking qualitative rigor in inductive research: notes on the Gioia methodology. Organizational research methods, 16 (1), 15–31.
  • Gorelova, I., et al., 2021. Antecedents and consequences of digital entrepreneurial ecosystems in the interaction process with smart city development. Administrative sciences, 11 (3), 94.
  • Grabher, G., 2002. The project ecology of advertising: tasks, talents and teams. Regional studies, 36 (3), 245–262.
  • Granstrand, O., and Holgersson, M., 2020. Innovation ecosystems: a conceptual review and a new definition. Technovation, 90, 102098.
  • Greco, M., et al., 2021. How does open innovation enhance productivity? An exploration in the construction ecosystem. Technological forecasting and social change, 168, 120740.
  • Groesser, S.N., 2014. Co-evolution of legal and voluntary standards: development of energy efficiency in Swiss residential building codes. Technological forecasting and social change, 87, 1–16.
  • Gulati, R., Puranam, P., and Tushman, M., 2012. Meta-organization design: rethinking design in interorganizational and community contexts. Strategic management journal, 33 (6), 571–586.
  • Gupta, R., Mejia, C., and Kajikawa, Y., 2019. Business, innovation and digital ecosystems landscape survey and knowledge cross sharing. Technological forecasting and social change, 147, 100–109.
  • Gustafsson, M. and Tsvetkova, A., 2017. Transformative business studies: technology transfer in the social sciences. Technology and innovation, 19 (2), 537–552.
  • Han, H., Chen, H., and Lee, J.B., 2021. Spatiotemporal changes in vertical heterogeneity: high-rise office building floor space in Sydney, Australia. Buildings, 11 (8), 374.
  • Hedborg, S. and Karrbom Gustavsson, T., 2020. Developing a neighbourhood: exploring construction projects from a project ecology perspective. Construction management and economics, 38 (10), 964–976.
  • Jacobides, M.G., Cennamo, C., and Gawer, A., 2018. Towards a theory of ecosystems. Strategic management journal, 39 (8), 2255–2276.
  • Jiang, Y. and Zheng, W., 2021. Coupling mechanism of green building industry innovation ecosystem based on blockchain smart city. Journal of cleaner production, 307, 126766.
  • Jo, S.S., et al., 2021. Sustainable smart cities and industrial ecosystem: structural and relational changes of the smart city industries in Korea. Sustainability, 13 (17), 9917.
  • Kang, N.H., 2022. Handcrafted concrete hybrids, the production of tradition and modern in the South Korea developmental state. Journal of Asian architecture and building engineering, 21 (3), 791–805.
  • Kangas, H.L., Lazarevic, D., and Kivimaa, P., 2018. Technical skills, disinterest and non-functional regulation: barriers to building energy efficiency in Finland viewed by energy service companies. Energy policy, 114, 63–76.
  • Kapoor, R. and Lee, J.M., 2013. Coordinating and competing in ecosystems: how organizational forms shape new technology investments. Strategic management journal, 34 (3), 274–296.
  • Kim, E. and Ha, Y., 2021. Vitalization strategies for the building energy management system (BEMS) industry ecosystem based on AHP analysis. Energies, 14 (9), 2559.
  • Kim, J. and Kim, J., 2021. An integrated analysis of value-based adoption model and information systems success model for proptech service platform. Sustainability, 13 (23), 12974.
  • Lammers, T., Cetindamar, D., and Borkert, M., 2021. A digital tale of two cities—observing the dynamics of the artificial intelligence ecosystems in Berlin and Sydney. Sustainability, 13 (19), 10564.
  • Lazarevic, D., et al., 2019. Understanding integrated-solution innovations in sustainability transitions: Reconfigurative building-energy services in Finland. Energy research and social science, 56, 101209.
  • Leiringer, R. and Dainty, A., 2017. Construction management and economics: new directions. Construction management and economics, 35 (1-2), 1–3.
  • Liu, L., Wang, X., and Sheng, Z., 2012. Achieving ambidexterity in large, complex engineering projects: a case study of the Sutong Bridge project. Construction management and economics, 30 (5), 399–409.
  • Liu, R., et al., 2021. A modified NK algorithm based on BP neural network and DEMATEL for evolution path optimization of urban innovation ecosystem. Complex and intelligent systems, 9, 1–17.
  • Lundvall, B. A., 1992. National systems of innovation: towards a theory of innovation and interactive learning. London: Pinter Publishers.
  • Mack, E., and Mayer, H., 2016. The evolutionary dynamics of entrepreneurial ecosystems. Urban studies, 53 (10), 2118–2133.
  • Mäkinen, S.J., Kanniainen, J., and Peltola, I., 2014. Investigating adoption of free beta applications in a platform-based business ecosystem. Journal of product innovation management, 31 (3), 451–465.
  • Mohammadi, N., and Karimi, A., 2021. Entrepreneurial ecosystem big picture: a bibliometric analysis and co-citation clustering. Journal of research in marketing and entrepreneurship, 24, 23–38.
  • Moher, D., et al., 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLOS medicine, 6 (7), e1000097.
  • Moore, J.F., 1993. Predators and prey: a new ecology of competition. Harvard business review, 71 (3), 75–86.
  • Nelson, R. R. and Winter, S., 1982. An evolutionary theory of economic change. Cambridge, MA: Belknap Press of the Harvard University Press.
  • O'Reilly, C.A., III and Tushman, M.L., 2013. Organizational ambidexterity: past, present, and future. Academy of management perspectives, 27 (4), 324–338.
  • Oh, D.S., et al., 2016. Innovation ecosystems: a critical examination. Technovation, 54, 1–6.
  • olde Scholtenhuis, L.L. and Dorée, A.G., 2014. High reliability organizing at the boundary of the CM domain. Construction management and economics, 32 (7–8), 658–664.
  • Packendorff, J., Lundin, I.R., and Packendorff, J., 1987. Temporary organizing: Integrating organization theory and project management. Proceedings of the IRNOP Conference on Temporary Organizations and Project Management, 4–1.
  • Peltokorpi, A., et al., 2019. Designing an organizational system for economically sustainable demand-side management in district heating and cooling. Journal of cleaner production, 219, 433–442.
  • Phillips, M.A., and Ritala, P., 2019. A complex adaptive systems agenda for ecosystem research methodology. Technological forecasting and social change, 148, 119739.
  • Planko, J., et al., 2019. Coping with coopetition—facing dilemmas in cooperation for sustainable development: The case of the Dutch smart grid industry. Business strategy and the environment, 28 (5), 665–674.
  • Porter, M. E., 1985. Competitive advantage: creating and sustaining superior performance. New York: Free Press.
  • Porter, M.E., 1990. The competitive advantage of nations. Competitive intelligence review, 1 (1), 14–14.
  • Powell, W.W., Koput, K.W., and Smith-Doerr, L., 1996. Interorganizational collaboration and the locus of innovation: networks of learning in biotechnology. Administrative science quarterly, 41, 116–145.
  • Provan, K.G., and Kenis, P., 2008. Modes of network governance: structure, management, and effectiveness. Journal of public administration research and theory, 18 (2), 229–252.
  • Pulkka, L., et al., 2016. Applicability and benefits of the ecosystem concept in the construction industry. Construction management and economics, 34 (2), 129–144.
  • Rajakallio, K., et al., 2018. Creating urban platforms—opportunities and challenges for innovation in commercial real estate development. Cities, 77, 92–103.
  • Ritala, P., and Almpanopoulou, A., 2017. In defense of ‘eco’in innovation ecosystem. Technovation, 60, 39–42.
  • Runeson, G., 1997. The role of theory in construction management research: comment. Construction management and economics, 15 (3), 299–302.
  • Sackey, E., Tuuli, M., and Dainty, A., 2015. Sociotechnical systems approach to BIM implementation in a multidisciplinary construction context. Journal of management in engineering, 31 (1), A4014005.
  • Säynäjoki, A., et al., 2017. Data commercialisation: extracting value from smart buildings. Buildings, 7 (4), 104.
  • Scaringella, L., and Radziwon, A., 2018. Innovation, entrepreneurial, knowledge, and business ecosystems: old wine in new bottles? Technological forecasting and social change, 136, 59–87.
  • Seppänen, M., Hyrynsalmi, S., Manikas, K., and Suominen, A. (2017). Yet another ecosystem literature review: 10 + 1 research communities. In 2017 IEEE european technology and engineering management summit (E-TEMS), 1–8.
  • Seymour, D., Crook, D., and Rooke, J., 1997. The role of theory in construction management: a call for debate. Construction management and economics, 15 (1), 117–119.
  • Seymour, D., Crook, D., and Rooke, J., 1998. The role of theory in construction management: reply to Runeson. Construction management and economics, 16 (1), 109–112.
  • Shayakhmetov, U., et al., 2021. Methodological tools for university transfer of high-demand nanotechnologies to the regional building industry. Nanotekhnologii v Stroitel’stve, 13 (1), 12–17.
  • Snyder, H., 2019. Literature review as a research methodology: an overview and guidelines. Journal of business research, 104, 333–339.
  • Söderlund, J., Hobbs, B., and Ahola, T., 2014. Project-based and temporary organizing: Reconnecting and rediscovering. International journal of project management, 32 (7), 1085–1090.
  • Stam, E., and Van de Ven, A., 2021. Entrepreneurial ecosystem elements. Small business economics, 56 (2), 809–832.
  • Stam, F.C., and Spigel, B., 2017. Entrepreneurial ecosystems. USE discussion paper series, 16 (13), 1–18.
  • Styre, A., 2017. Thinking about materiality: the value of a construction management and engineering view. Construction management and economics, 35 (1–2), 35–44.
  • Thomas, L., and Autio, E., 2020. Innovation ecosystems in management: A conceptual review. In: R. Aldag, ed. Oxford research encyclopaedia of business and management. Oxford: Oxford University Press.
  • Thomas, L.D., and Ritala, P., 2022. Ecosystem legitimacy emergence: a collective action view. Journal of management, 48 (3), 515–541.
  • Thomson, C.S., Karrbom Gustavsson, T., and Karvonen, A., 2021. Grand challenges facing our cities: where construction management research meets the urban field. Construction management and economics, 39 (10), 874–878.
  • Tiwana, A., Konsynski, B., and Bush, A.A., 2010. Research commentary—Platform evolution: coevolution of platform architecture, governance, and environmental dynamics. Information systems research, 21 (4), 675–687.
  • Toppinen, A., et al., 2019. Collaboration and shared logic for creating value-added in three Finnish wooden multi-storey building projects. Wood material science and engineering, 14 (5), 269–279.
  • Tsujimoto, M., et al., 2018. A review of the ecosystem concept—towards coherent ecosystem design. Technological forecasting and social change, 136, 49–58.
  • Tsvetkova, A., and Gustafsson, M., 2012. Business models for industrial ecosystems: A modular approach. Journal of cleaner production, 29, 246–254.
  • United Nations. 2022. The sustainable development goals report 2022. New York: United Nations Publications.
  • Valkokari, K., 2015. Business, innovation, and knowledge ecosystems: how they differ and how to survive and thrive within them. Technology innovation management review, 5 (8), 17–24.
  • Vigren, O., Kadefors, A., and Eriksson, K., 2022. Digitalization, innovation capabilities and absorptive capacity in the Swedish real estate ecosystem. Facilities, 40 (15/16), 89–106.
  • Vigren, O. (2022). Digitalization, sustainability, and ecosystems: An application of social network analysis to the real estate sector. Doctoral dissertation. KTH Royal Institute of Technology.
  • Viholainen, N., et al., 2021. Bringing ecosystem thinking to sustainability-driven wooden construction business. Journal of cleaner production, 292, 126029.
  • Volker, L., 2019. Looking out to look in: inspiration from social sciences for construction management research. Construction management and economics, 37 (1), 13–23.
  • Vosman, L., Coenen, T. B., Volker, L., and Visscher, K. (2021). Exploring the innovation ecosystem concept for a construction industry in transition. In 37th ARCOM Conference and Annual General Meeting: Recover, Rebuild and Renew.
  • Webster, J., and Watson, R.T., 2002. Analyzing the past to prepare for the future: writing a literature review. MIS quarterly, 26, 13–23.
  • Whyte, J., 2019. How digital information transforms project delivery models. Project management journal, 50 (2), 177–194.
  • Williamson, P.J. and De Meyer, A., 2012. Ecosystem advantage: how to successfully harness the power of partners. California management review, 55 (1), 24–46.
  • Xu, Y., et al., 2019. Platform-based business models: insights from an emerging AI-enabled smart building ecosystem. Electronics, 8 (10), 1150.
  • Yang, Y., and Tang, W., 2018. Research on a 3d predator-prey evolutionary system in real estate market. Complexity, 2018, 1–13.
  • Yang, Y., Zhang, Y., and Xie, H., 2020. Exploring cultivation path of building information modelling in China: an analysis from the perspective of an innovation ecosystem. Sustainability, 12 (17), 6902.
  • Yin, D., Ming, X., and Zhang, X., 2020. Sustainable and smart product innovation ecosystem: An integrative status review and future perspectives. Journal of cleaner production, 274, 123005.
  • Zahra, S.A. and Nambisan, S., 2012. Entrepreneurship and strategic thinking in business ecosystems. Business horizons, 55 (3), 219–229.
  • Zhang, Y., et al., 2018. From urban metabolism to industrial ecosystem metabolism: a study of construction in Shanghai from 2004 to 2014. Journal of cleaner production, 202, 428–438.
  • Zygiaris, S., 2013. Smart city reference model: assisting planners to conceptualize the building of smart city innovation ecosystems. Journal of the knowledge economy, 4 (2), 217–231.