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The significance of technology-driven entrepreneurship activities: Lessons from SMEs operating in the manufacturing industry

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Article: 2185069 | Received 16 Aug 2022, Accepted 23 Feb 2023, Published online: 08 Mar 2023

Abstract

Innovation in small and medium enterprises (SMEs) is often the result of technology-driven or market-pull entrepreneurship activities. So far, although its importance in practice, as well as in academia continues to grow, extant research exhibits little theory about the process of technology-driven entrepreneurship in SMEs. The study aims to better understand how technology-driven entrepreneurship processes transform business in SMEs in the manufacturing industry. Therefore, we developed a technological entrepreneurship (TE) process framework by utilizing the flexible pattern matching approach (FPMA). We iteratively compared a priori patterns from existing theoretical knowledge to empirical findings that emerged from in-depth interviews with corporate executives in the manufacturing industry. The framework highlights the TE process in SMEs leading to four output components: (1) corporate-function-related, (2) business-model-related, (3) competitiveness-related, and (4) customer-related. This study makes a unique contribution to academia by being the first that develops a TE process framework tailored to SMEs from the manufacturing industry. We point out that sustainable growth and competitiveness of SMEs depends on appropriate TE process management, and we underline the strategic importance of TE-driven transformation for SME managers. Our study expands the scope of TE and SME research and provides empirically grounded insights into technology-driven innovation.

1. Introduction

The number of academic studies that consider the subject of either Technological Entrepreneurship (TE) or Small and Medium Enterprises (SMEs) has increased significantly in the management literature (Majdouline et al., Citation2022). More than 60 percent of the literature related to the topic of TE or SMEs has appeared in the last 10 years. According to numerous studies, TE activities especially encompass great potential for innovation, economic growth, and competitive advantage for SMEs (Bailetti, Citation2012; Hitt et al., Citation2001; Petti, Citation2009). Despite the immensely increasing importance of this topic, limited research examines various facets of TE and its significance for SMEs. According to Prodan (Citation2011), TE has a high relevance for SMEs, and technology-driven activities can be successfully carried out in SMEs, particularly if they collaborate with innovative organizations such as new technology-based institutes or research centers. Prodan (Citation2011) further emphasizes that governments need to expedite technology-driven development in SMEs. In another study, Cavallo et al. (Citation2021) highlight that the role of SMEs in regard to innovative entrepreneurial activities remains under-researched and requires further examination. Both studies underline the need for further research in the field of TE in SMEs. To understand the specific research gaps in this field more precisely and to focus on them in a systematic way, we started by developing an understanding of the current state of research on this topic.

To date, scholarly research has dealt with the general definition of TE activities and related processes (Bailetti, Citation2012; Chaston, Citation2017; Majdouline et al., Citation2022; Passiante & Romano, Citation2016; Petti, Citation2009). Numerous examples of unexplored issues exist, such as how SMEs can transform their business through utilizing TE activities and what the main drivers and benefits are of TE in SMEs. Another unaddressed aspect is the need to comprehend what process, including relevant components, underlies TE activities in SMEs and why the theoretical framework of implementing TE in SMEs differs from any other type of company (Cavallo et al., Citation2021; Petti, Citation2009; Prodan, Citation2011). Moreover, Liu et al. (Citation2022) clarify that previous studies on TE have largely focused on technology-driven companies operating in the North American manufacturing industry. Muldoon et al. (Citation2022) emphasize that geographical characteristics play an important role within entrepreneurial ecosystem and are critical to the economic development as well as technological innovation of firms. However, a geographic region is strongly determined by various factors such as politics, culture, or human capital (Isenberg, Citation2010). The expression of these factors can vary greatly from region to region, potentially leading to different outcomes with respect to TE initiatives. In this context, it is crucial to understand the extent to which previous findings on TE activities apply to further geographic regions.

In this paper, we investigate the existing research gap in greater detail and aim to answer the research question of how technology-driven entrepreneurship processes transform the business of SMEs operating in the German manufacturing industry as a representative example from the Central European area. To do so, we employ the flexible pattern matching approach (FPMA) and develop our TE process framework for SMEs by iteratively comparing theory from extant research to empirical data (Bouncken et al., Citation2021a, Citation2021b).

Our paper consists of six sections. First, we provide background on current literature about TE and develop the theoretical patterns relevant to the initial flexible pattern matching template. In the second section, we demonstrate our research methodology and provide further insights regarding the applied research design, characteristics of the selected sample, approach to data collection, and the final data structure resulting from the data analysis. The third part matches the research findings emerging from the theoretical patterns and empirical findings arising out of in-depth interviews with corporate executives in the manufacturing industry. In the fourth section, we critically discuss the results from the FPMA and summarize our theoretical contributions. The fifth section of the work concludes with our main findings and their managerial implications. In the final section, we present the limitations of this study and suggestions for future research.

2. Background on literature and development of theoretical patterns

In this section, we provide an overview of the current status of academic contributions regarding TE activities. Based on our literature review, we identify key areas for further research and define the scope of this study. Following the FPMA, we develop an initial flexible pattern matching template that we base on theoretical patterns resulting from an analysis of extant literature, to guide us through the entire analysis process (Bouncken et al., Citation2021a, Citation2021b; Sinkovics et al., Citation2021). In the findings section of this paper, we then extend the initial flexible pattern matching template, with the help of our empirical observations, and develop the final TE process framework especially tailored to SMEs operating in the manufacturing industry.

2.1. Technological entrepreneurship

2.1.1. Definitions and literature review

The literature shows several synonyms for TE, such as technological entrepreneurship, technology entrepreneurship, technology-driven entrepreneurship, technical entrepreneurship, or techno-entrepreneurship. In our study, we mainly refer to “technological” or “technology-driven” entrepreneurship (TE). To understand the characteristics of TE to a greater extent, we defined TE by separately focusing on its two components, technology and entrepreneurship (Petti, Citation2009). “Technology” summarizes all skills, artifacts, and theoretical and practical knowledge for developing and producing products and services (Burgelman et al., Citation2004). Entrepreneurship is the establishment of new or the composition of existing resources in a different way to identify and exploit heretofore uncharted market opportunities (Hitt et al., Citation2001). Entrepreneurial activities are beneficial to entering new markets, developing and launching new products, or providing valuable services to new customers (Hitt et al., Citation2001; Ireland et al., Citation2001; Kuratko et al., Citation2001; Sexton & Smilor, Citation1997).

Not considering TE as an outcome that solely relates to the exceptional ideas of individuals is crucial. Rather, TE is a process whose outcome results from technology-related activities by different individuals and groups within a suitable environment for entrepreneurial activities (Petti, Citation2009). Bailetti (Citation2012) defines TE as an investment in a project to create and capture value for a firm, by bringing together particular individuals and heterogeneous assets closely affiliated to progress in scientific and technological knowledge.

Thus far, numerous studies have dealt with the topic of TE and its corresponding process components. In Table , we summarize the most important findings from our literature review about TE and refer to the aspects that are not yet covered in detail in the existing literature. These aspects are considered as points of reference for our study.

Table 1. Main findings from literature review

2.1.2. Main areas for further research and strategic importance of TE for SMEs

The analysis of existing literature gave us important stimuli for possible further fields of research. The main opportunities for further research resulting from the literature review are as follows:

  • The TE process and its underlying components have not yet been analyzed in detail with a specific focus on SMEs.

  • The previous geographical focus of TE research was mainly on North America. New findings from other regions would enrich this research area.

  • The manufacturing industry plays an important role in TE activities and should therefore be analyzed more specifically.

Globally, most firms can be classified as SMEs, representing approximately 90 percent of businesses, and thus making a significant contribution to the global economy (Sabando-Vera et al., Citation2022). Although the potential is estimated to be considerably greater, only a small portion of SMEs stand out due to innovation and TE activities leading to competitive advantages (Pashley et al., Citation2020; Staniewski et al., Citation2016). The successful implementation of TE activities in SMEs holds great growth potentials, making a more detailed analysis of this phenomenon in SMEs indispensable.

Many studies have examined the phenomenon of the German Mittelstand, particularly highlighting the economic stability and crisis-resistance of German SMEs. Unlike most countries, SMEs represent the backbone of the German economy and stand out due to their technological strength (Berlemann et al., Citation2022; Pahnke & Welter, Citation2019; Röhl & Engels, Citation2021), making it even more crucial and interesting to analyze TE activities in the German SME sector.

Furthermore, manufacturing plays a central role in developing a new technology (Garud & Karnøe, Citation2003). Initial studies are focusing on the analysis of TE activities in the manufacturing industry with a specific geographical focus on North America and China for this reason (Liu et al., Citation2022).

In addition, the literature review highlighted that TE is a type of business leadership (Prodan, Citation2011) and particularly addressed executives and top managers in SMEs who are aiming to create, capture, and deliver value to their customers through technology (Bailetti, Citation2012). SME managers need to understand the immense opportunities associated with conducting TE activities in SMEs. They must ensure the availability of essential resources and capabilities required for the successful utilization of TE in SMEs.

To analyze these research areas in more detail and make a crucial academic contribution, this study focuses on the significance of TE for SMEs operating in the German manufacturing industry.

2.1.3. Theoretical components of the TE process

After identifying potential areas for further research and scientifically deriving the research focus of this paper, this section focuses on specifying the main theoretical components of the TE process.

The existing TE definitions indicate that the pursuit of technological advancement can lead to the discovery and formulation of entrepreneurial potential when executing TE activities. Hence, the TE process links progress in technology with the development of new business opportunities, comprising four key activity sets (Petti, Citation2009):

  • Discovering existing technologies or creating new technologies to generate potential business value.

  • Recognizing and matching opportunities resulting from the applications of these technologies to meet emerging markets’ needs.

  • Developing technologies and applications.

  • Creating business (value).

In addition, Petti (Citation2009) highlights the following three key components of TE:

  • Entrepreneurial component: Individual and company activities for discovering and utilizing the extraordinary and disruptive potential of rising technologies and business opportunities

  • Management component: Activities of individual managers and companies for creating a unique value proposition that enables fast market entry, to accomplish targeted business opportunities based on a proven business model

  • Environmental component: Set of formal and informal supporting institutions and resources for designing suitable conditions for technology-based ventures

Habtay (Citation2012) defines the TE process from a slightly different point of view, referring to the differences between market- and technology-driven entrepreneurship. According to Habtay (Citation2012), the basis of both innovation types is a technical process that aims to improve extant or create new business models, products, and services. The term “technology-driven entrepreneurship” is appropriate when a new research-and-development experiment and scientific discovery anticipate market opportunities leading to a feasible business proposition. Conversely, market-driven entrepreneurship exists when the market (the customer) generates demand pressure leading to the discovery of a market innovation before a company invests in a specific product or service (Chaston, Citation2017). Figure illustrates the characteristics of both technology- and market-driven entrepreneurship.

Figure 1. Entrepreneurial Process Comparison (based on Chaston, Citation2017, p. 10).

Figure 1. Entrepreneurial Process Comparison (based on Chaston, Citation2017, p. 10).

To cover the most relevant TE-related theoretical aspects in the initial flexible pattern matching template, we likewise considered the main input and output components within the TE ecosystem. Chaston (Citation2017) points out the four core input components in the TE ecosystem: access to scientific and technological advances, technological entrepreneurial capability, technological infrastructure, and interorganizational collaborative environments. The three major output components in this ecosystem are existing market opportunities, new market opportunities, and new-to-the-world opportunities.

When setting up the TE process, it is also important to be aware of the potential key indicative elements of transformation. To measure the accomplishment level of a transformation generated by TE activities, it is essential to have suitable indicators of innovation performance such as the number of products or services newly launched on the market, the date of the market launch, improvement in cost structure and performances (e.g., in manufacturing processes), or the number of patents applied for (Chaston, Citation2017; Thamhain, Citation2003). Furthermore, soft indicators such as the existence of a professionally challenging and stimulating environment or a suitable composition of the involved team members leading to effective communications within the team, are also fundamental metrics that must be considered as soft indicative elements of a TE transformation (Thamhain, Citation2003).

2.2. Initial theoretical flexible pattern matching template

Considering the most relevant aspects regarding the definition and understanding of TE, we developed the initial theoretical flexible pattern matching template (Figure ). This initial conceptual model represents a general illustration of a priori patterns from existing theoretical knowledge on this research topic (Bouncken et al., Citation2021b). This template also guided us through the entire data collection and analysis process for the empirical data.

Figure 2. Initial theoretical flexible pattern matching template (own illustration based on Petti, Citation2009; Chaston, Citation2017).

Figure 2. Initial theoretical flexible pattern matching template (own illustration based on Petti, Citation2009; Chaston, Citation2017).

3. Research methodology

3.1. Research design

Qualitative research methods support the development of new theories and contribute valuable insights, particularly in situations where changes in companies, for example, due to technological advancements, need to be investigated (Bouncken et al., Citation2021a). For the development of new theory and building a framework for the TE process, particularly in SMEs, we considered the FPMA, which stepwise compares previous theory from existing academic research to patterns resulting from empirical data (Bouncken et al., Citation2021a, Citation2021b; Sinkovics, Citation2018). Exploratory research that examines new technological developments and innovations especially uses the FPMA logic for integrating deduction and induction analysis (Bouncken et al., Citation2021a). Likewise, the generalizability of the research results and the evolved theory increases significantly by bridging extant theory with collected empirical data (Bouncken et al., Citation2021b). As Bouncken et al. (Citation2021b) suggest, we considered the key stages and roadmap of the FPMA, which Figure illustrates.

Figure 3. Stages and Roadmap of FPMA (own illustration based on Bouncken et al., Citation2021b).

Figure 3. Stages and Roadmap of FPMA (own illustration based on Bouncken et al., Citation2021b).

Furthermore, an important link exists between the FPMA and grounded-theory approach, methods that are not mutually exclusive. The FPMA enables researchers to deeply analyze empirical observations using the Gioia method while simultaneously incorporating existing theory using flexible pattern matching techniques (Bouncken et al., Citation2021a). Thus, for analyzing our empirically collected data, we considered the grounded-theory approach of Gioia et al. (Citation2013) and then integrated the empirical findings into the FPMA to develop a fully comprehensive theory (Bouncken et al., Citation2021a, Citation2021b).

3.2. Sample and data collection

Within the scope of this paper, we used purposive and theoretical sampling to collect empirical data. To ensure that we focus on the relevant group of respondents and they make a significant contribution to our study, purposive sampling was applied based on certain criteria, which are described below. For gathering in-depth insights, we subsequently considered the method of theoretical sampling (Ghorbani et al., Citation2023; Lichtenstein & Williamson, Citation2006). Theoretical sampling is a very well-known method when considering the grounded theory approach for analyzing qualitative data (Gioia et al., Citation2013; Glaser & Strauss, Citation1967). This involves searching for additional data based on concepts derived from the initial analysis. Thus, the evolving theory can be further extended and refined until theoretical saturation is achieved (Ligita et al., Citation2020).

Based on the derived findings in the theory section of this paper, we examine the significance of TE activities for SMEs operating in the German manufacturing industry. As underlined in the previous section, the special characteristics and structures of the German Mittelstand offer the opportunity to gather completely new and unique insights. Therefore, our sample consisted of interviewees working in SMEs that met certain requirements. First, the selected interviewees and SMEs must have had substantial experience in implementing and executing TE activities leading to significant innovations and transformations in their businesses. Second, the sample firms must have operated in Germany’s manufacturing industry sector. As an optional third selection criterion, we gave preference to SMEs that were accepted to participate in the Top Innovators Program, comprising Germany’s most innovative SMEs (Top 100, Citation2022). Following the described selection criteria, we conducted 17 in-depth semi-structured interviews, each lasting between 24 and 57 minutes, with managers from 13 German SMEs (Table ). In the treatment of our human sample, we have adhered to APA ethical standards. All interviewees voluntarily participated in the study, were free to withdraw at any time, and gave informed consent for the research. By choosing our interviewees strictly according to the theoretically and scientifically elaborated criteria, our sample fully represents the target population.

Table 2. Overview of Interview Partners (IP)

According to Glaser and Strauss (Citation1967), theoretical saturation is referred to as the point at which no new variations of the identified concepts can be found in the collected empirical data (Linden & Palmieri, Citation2021). Furthermore, theoretical saturation is reached when no more new elements can be extracted from the targeted field of observation in order to develop the new theory (Oliveira et al., Citation2022). Consistent with the definitions from the existing literature, after 17 interviews the field of observation did not provide any additional new elements needed to develop our desired theory. In addition, we found that the constructs of the theory were completely reflected by the collected data, thus reaching the theoretical saturation point as suggested by Glaser and Strauss (Citation1967). Particularly, in our recent empirical observations, we found that the results are largely consistent with the earlier ones. Our empirical data were sufficient to extend the patterns of the initial theoretical FPMA template and develop the final framework. Thus, 17 interviews helped us to attain theoretical saturation such that more interviews would no longer provide additional important new findings (Ahsan et al., Citation2018; Bouncken et al., Citation2021b; Eisenhardt, Citation1989; Locke, Citation2001).

With their basis in a semi-structured interview protocol, all interviews occurred over five months, during which we aimed to gather suitable and detailed examples of TE activities from our sample companies. The interviews occurred in either German or English, and we translated the relevant parts of the German interviews into English. We recorded all interviews and conducted them by video conference or in person. No statement from the interviews is traceable to an individual or a company as we anonymized all interviews. Immediately after the interviews, we transcribed the recordings based on a structured guide (Dresing & Pehl, Citation2018, Citation2020).

3.3. Data analysis and data structure

Qualitative data gathered from empirical observations can be systematically and flexibly analyzed with the help of qualitative content analysis (Hair et al., Citation2015; Schreier, Citation2014). We therefore carried out a qualitative content analysis to systematically answer our research questions. We coded transcribed interviews separately using the Software MAXQDA Analytics Pro (Verbi Software, Citation2022). To ensure the objectivity of the research and to prevent the individual influence of each researcher, we considered an investigator triangulation (Archibald, Citation2016; Hair et al., Citation2015). Thus, the interview data were analyzed and interpreted by both researchers involved in this study. We conducted the content analysis by reading the transcripts multiple times and comparing them with each other by means of a repetitive process. With the help of a systematic inductive approach, the coding and categorization of the transcript material enabled us to identify 539 complementary in vivo codes. The term “in vivo” originates from grounded theory research and refers to the coding of interview passages that have significant meaning in the context of the particular research focus (Corbin & Strauss, Citation2012, Citation2008; Gioia et al., Citation2013; Glaser & Strauss, Citation1967). In the next step, we combined the in vivo codes in 64 first-order, informant-centric categories. The comparison of the first-order categories enabled us to determine analogies between them and generate 22 researcher-centric second-order themes. In the final step, we consolidated the second-order themes into four aggregate dimensions. These steps allowed us to create a final data structure (Gioia et al., Citation2013) that Figure summarizes.

Figure 4. Analysis and coding steps.

Figure 4. Analysis and coding steps.

Thereupon, we utilized the FPMA and iteratively compared our observed empirical patterns to the theoretical patterns of our initial flexible pattern matching template (Figure ). The comparison of the empirical and theoretical patterns helped to (a) identify various overlaps confirming the findings from extant academic literature and (b) generate new empirical insights leading to the development of new theoretical components (Bouncken et al., Citation2021a, Citation2021b; Chiles et al., Citation2004). The data structure of our empirical results consists of the aggregate dimensions (1) TE drivers, (2) TE input components, (3) TE process components, and (4) TE output components, which the next section of this study analyzes further (Figure ).

Figure 5. Data structure.

Figure 5. Data structure.

4. Results of the FPMA

In this section, we present the four aggregate dimensions that emerged from our empirical analysis. We also establish the reference to the theoretical elaborations that our initial flexible pattern matching template summarized (Figure ) at the respective paragraphs. At the end of this section, we illustrate the TE process framework in SMEs by combining our theoretical and empirical findings.

4.1. TE drivers

Previous research has partially dealt with the potential key indicative elements of transformation but has not extensively studied TE drivers in particular; therefore, we could not include this aspect in our initial theoretical flexible pattern matching template prior to collecting our empirical observations. In this context, considering TE drivers enriches existing theory about TE activities in SMEs.

As our data structure in Figure shows, the identified TE drivers consist of seven second-order themes: (a) innovation-related drivers, (b) flexibility-related drivers, (c) timing-related drivers, (d) market-related drivers, (e) regulatory and political drivers, (f) financial drivers, and (g) social (media) drivers (Figure ). The sections below explain each of these themes.

4.1.1. Innovation-related drivers

Innovation-related drivers are crucial enablers for the successful implementation of TE activities in SMEs. An organization must create an appropriate environment, in which the motivation and willingness to work on innovative subjects are at the highest possible level. According to our empirical observations, making good ideas visible within the organization and enabling the evaluation and implementation of these ideas in an entrepreneurial way are equally important. This particularly requires the establishment of a healthy balance between creating freedom to try out these ideas and linking innovative ideas to business cases, according to their potential. Linking an idea to a business case too early can neglect its less obvious potential at the beginning. Likewise, a strong expectation established too fast concerning the idea’s potential may overvalue a possible moderately good idea. Moreover, the extent of ambidextrous penetration in the organization is another innovation-related driver. An interviewee describes (from his organization’s point of view) significantly driving innovation-related activities by combining the existing standard product-development processes with the generation of disruptive ideas, in collaboration with startups. Above all, collaborating with partners or startups makes resources and capabilities, such as technology and data-science-related know-how, available very quickly, to implement TE activities more efficiently. Further details and corresponding quotes from the interviewees are compared in Table .

Table 3. Further Details—Innovation-related Drivers

4.1.2. Flexibility-related drivers

Items within the second-order theme—flexibility-related drivers—enable SMEs to accelerate the utilization of innovative TE activities by maintaining flexible and agile internal processes and decisions. The importance of the organizational disruptiveness level is one of the notable aspects that our interviewees discussed as controversial. Some interviewees evaluate the level of disruptiveness within their organizations as very high and necessary for sustainable process optimization that allows speeding up the planned TE activities. On the other hand, other interviewees argued that the rather limited level of disruptiveness of SMEs in the manufacturing industry is due to the conservative nature of this industry. However, in the long run, the opportunities for increasing the level of disruptiveness are present. Furthermore, the acceptance of a trial-and-error approach significantly influences the flexibility-related drivers. According to IP08, SMEs must consider that “when you innovate, not every idea you work on will end up successful” (IP08, Managing Director). Another interviewee added that the successful implementation of TE activities “is a trial-and-error way,” and “you have to somehow know in your head where you want to go, but only roughly,” when initiating TE (IP02, Managing Director). Therefore, the success of TE crucially requires establishing a culture that is highly flexible and accepts failures within the organization. An interviewee states that as a crucial prerequisite for a high level of freedom and flexibility in an SME, “You have to be able to handle freedom, and many can’t handle freedom, if you tell them ‘now you have to decide’” (IP02, Managing Director). He further adds that “not everyone is born to be very flexible,” and, currently, this especially is an important learning process for SMEs. As interviewee IP14 stated, “There are many advantages in terms of agility and speed that medium-sized companies can at least utilize” (IP14, Director). Another interviewee addressed appropriately considering company size when reasoning how to depict agility in SMEs, compared to larger organizations. In summary, the existence of an appropriate degree of flexibility-related drivers is significant for the success of TE activities. Table highlights and compares the corresponding quotes from interviewees.

Table 4. Further Details—Flexibility-related Drivers

4.1.3. Timing-related drivers

Timing-related drivers are another relevant TE driver the interviewees specified. Being a pioneer or a follower in the market can decisively influence the success of TE initiatives. Waiting too long to examine how the market develops leads to the risk of losing the connection and being unable to catch up with competitors. Interviewee IP16 adds that SMEs “have to strike a good balance in order to also be successful as quickly as possible, but still have the pioneering role” (IP16, Reliability Engineering Manager). The key to success is in the right timing of TE activities. Furthermore, the slow implementation of TE activities can be an obstacle rather than a driver for fruitful implementation of new technologies. Also stated was that the implementation process of a new technology can take an exceptionally long time, despite the enthusiasm of all involved stakeholders in the organization about the roll-out at the beginning. This leads to the conclusion that enthusiasm alone is not sufficient to successfully implement TE activities; there must also be a certain roadmap. Some observations have shown that a long-term implementation of TE activities can make an organization sustainably successful. The corresponding quotes from our interviewees appear in Table .

Table 5. Further details—Timing-related drivers

4.1.4. Market-related drivers

An additional TE driver is market-related drivers, consisting of the component’s customer, market, and competitor view (Table ). Starting with the customer view, the creation of an understanding of customer benefits and values is highly important for successfully utilizing TE activities. Our research has shown that an organization’s focus on being the market leader, in terms of conducting sustainable technology-driven activities, is an important component for increasing customer benefit. Thereby, the technology itself is not the primary criterion for increasing customer benefit. Rather, first figuring out the customer’s needs, then afterward deciding which technology to consider to meet customer expectations, is crucial. In addition, TE activities are also an important vehicle for the acquisition of new customers and to further strengthen customer relations. A deeper look into the market view shows that the conservatism and maturity of the market significantly influence the favorable outcome of TE initiatives. The aspect of conservativism was likewise mentioned previously as a relevant criterion regarding the flexibility-related drivers. Furthermore, segment-specific characteristics, such as dependency on local installations and products with very long-life cycles, can serve as a barrier to TE activities since the willingness to innovate is at a relatively low level in these cases. Moreover, we identified additional empirical observations concerning the weight of market capacities and growth opportunities on driving TE activities. Our research revealed that growth opportunities in the market especially center on extending current products with digital features and developing new digital products. Further observations indicated that TE activities can also influence the market capacity by optimizing internal manufacturing procedures. With the help of disruptive technologies, the existing redundant capacity in the market can become useful by making the production plants and corresponding processes more efficient. Paying particular attention to the role of global competition and the rising risk of potential competitive disadvantages, our findings highlight that companies operating in countries outside of Germany have a competitive advantage, due to more informal interaction with TE-related innovation activities. When German SMEs interact with TE-related innovation, unlike in other innovation-driven countries, the highly regulated market represents a potential barrier to the expected accomplishment of TE activities, due to its too-formal processes and approaches, as well as significant restrictions. The next section explains these regulatory restrictions in particular in more detail. Table summarizes the corresponding quotes related to the market-related drivers.

Table 6. Further Details—Market-related Drivers

4.1.5. Regulatory and political drivers

As the previous section mentioned, when examining the influence of regulatory and political drivers on TE activities, we have identified this first-order category serving as a driver but also as an obstacle for German SMEs. The research findings show that on one side, German regulations enable a high level of stability for SMEs; on the other side, they slow down the implementation process of innovative TE initiatives, due to strongly developed bureaucracy and substantial requirements for data protection. Further, the results highlight that the environment for driving TE activities is not mature enough in Germany yet, compared to other innovative countries. According to interviewee IP06 (Advisor to the CDO), on the other side, a “big advantage (…) in Germany as a whole is an incredible density of good universities,” allowing SMEs to recruit highly talented employees from application-related fields, to successfully drive TE activities. Furthermore, we also identified that regulatory requirements for the energy efficiency of products indirectly drive innovation in a significant way. In this context, utilizing disruptive technologies, such as artificial intelligence leading to a high focus on these technologies, can meet highly challenging government requirements. Furthermore, important interfaces exist between this driver and the TE drivers presented in the previous sections. The importance of the previously introduced drivers for the TE process can be strengthened or diminished depending on the characteristics of the regulatory and political circumstances in a country. If the circumstances are suitable for TE activities, the weight and efficiency of other TE drivers can be significantly increased, or, vice versa, decreased. Further examples and quotes from the interviewees appear in Table .

Table 7. Further Details—Regulatory and political drivers

4.1.6. Financial drivers

Based on our empirical observations, we have identified appropriate financial investments as a TE driver when applied to a healthy extent. Some interviewees stated that financial investments of SMEs in technology-driven entrepreneurship initiatives are an important prerequisite, without expecting a too-early return on investment. Too low an investment and an inclination toward too-strong a return on investment can inhibit TE activities. Especially in smaller-sized SMEs, the duration of the investments must be very well considered and planned, to continue or stop certain investments in time, according to suitable indicators. When estimating the cost of specific investments for TE initiatives, focusing not only on the expected financial return but also on the expected increase in process-related efficiencies is crucial. Additionally, the implementation of certain TE-driving KPIs, such as submitting a certain number of innovative ideas, can lead to higher organizational motivation to conduct TE activities and push various departments to generate innovative TE-related ideas. Table highlights the examples and interview passages resulting from our empirical observations.

Table 8. Further Details—Financial Drivers

4.1.7. Social (Media) drivers

Our empirical observations have shown that drivers related to social media platforms can push the success of TE activities in a noteworthy way. The appropriate use of social platforms can accelerate customer awareness about innovations within a company. Another observation indicates that marketing activities on different social platforms are crucial for the perceived benefit of products or services resulting from TE activities. Likewise, Table summarizes the results regarding social (media) drivers.

Table 9. Further Details—Social (Media) Drivers

Generally, we have identified that the TE drivers both move TE activities forward with supportive measures and hinder them with overly structured processes or high expectations regarding financial and time factors. A balanced and situational mix of these TE drivers is an important condition for the successful implementation of TE activities in SMEs.

4.2. TE input components

The aggregate dimension “TE input components” consists of eight empirically identified second-order themes, two of which overlap with input components of the initial theoretical flexible pattern matching template developed early in the research. We have assigned the overlapping findings from the empirical and theoretical results to the category “concordant empirical and theoretical findings” below. Additionally, two other components were previously identified based on theoretical findings but not confirmed by our empirical results. These purely theoretical findings are assigned to the “theoretical findings” category. Following the FPMA, in the next sections, we compare the theoretical and empirical findings and discuss similarities as well as differences. Based on this logic, the next sections comprise three parts: (a) theoretical findings, (b) concordant empirical and theoretical findings, and (c) empirical findings. Figure illustrates the TE input components.

Figure 6. TE Input Components.

Figure 6. TE Input Components.

4.2.1. Theoretical findings

We gathered two TE input components that the extant academic literature listed, but our interviews did not cover: (a) access to scientific and technological advances and (b) technological entrepreneurial capability. According to Chaston (Citation2017), access to scientific and technological advances is one of the relevant TE input components. This component especially supports organizations that aim to utilize TE activities and want to overcome the associated challenges by creating a link to existing knowledge related to specific technologies and scientific contributions. Furthermore, Chaston (Citation2017) highlights the technological entrepreneurial capability as an additional TE input component. The availability of a great extent of suitable technological capabilities within an organization enables the successful implementation of innovation-related activities (Ritter & Gemünden, Citation2003). In this context, firms likewise must ensure the existence and development of adequate human-related capabilities that enable them to firmly establish technology-driven activities (Korherr & Kanbach, Citation2021). Both input components extracted from the literature are also relevant in the context of TE activities in SMEs. Therefore, we will consider those in our final framework.

4.2.2. Concordant empirical and theoretical findings

Both our literature analysis and empirical observations determined the following TE input components: (a) interorganizational collaborative environment and (b) technological infrastructure. According to current academic literature, the interorganizational collaborative environment is an input component that must be considered when conducting TE activities (Chaston, Citation2017). Focusing on interorganizational collaborations can utilize and supplement the internal resources and capabilities of a firm, such as competencies and technologies (Greco et al., Citation2020). Likewise, our empirical findings highlight the importance of an interorganizational collaborative environment. Interviewee IP15 stated that for TE activities, interdisciplinary teams are “essential insofar as a company also can only be created on an interdisciplinary basis” (IP15, Business Development Manager). In addition, another interviewee notes that the creation of interdisciplinary teams is difficult in SMEs due to the smaller number of employees and the advantage of interorganizational collaboration being a long-term result instead: “If I only have two people who can really deal with the subject, then it becomes difficult with interdisciplinary, because you don’t get very far with two people. (…) It’s simply a very long way to implement technologies in interdisciplinary teams at medium-sized companies” (IP13, Head of Digitalization). In this context, further empirical findings show that a TE strategy transparent to all involved stakeholders must also be available. “Simply packing smart people together is unfortunately not enough” to carry out TE initiatives successfully, according to interviewee IP08. For the case that requires human resources for interorganizational collaboration that a firm does not have, our empirical observations show that SMEs focus on hiring new talent or training existing employees. In this regard, interviewee IP12 states that it is more challenging for SMEs to hire very good talent compared to large firms: “And when we see how difficult it is to find the right qualified employees in a wide variety of areas, then of course as a large corporation you often have better chances of attracting these talents” (IP12, Managing Director).

Chaston (Citation2017) points to the technological infrastructure as another input component of TE. Not only for carrying out TE activities successfully but also for significant economic growth, the technological infrastructure takes on a fundamental role (Freeman, Citation2004). In addition, our empirical observations reveal that the role of software products is becoming substantially important and requires an advanced software-related technological infrastructure within SMEs. The following excerpts from our interviews underpin this: “The differentiation nowadays is much more in the software (…) that’s certainly one of the technology-driven innovations where we are at these days” (IP06, Advisor to the CDO); “We are a mechanical engineering company, but our software development department is much larger than the hardware development department” (IP02, Managing Director).

4.2.3. Empirical findings

The following explains in more detail the TE input components that we identified purely from our empirical observations.

The corporate culture is an important second-order theme that is a part of the aggregate dimension of TE input components. Overall, the interviewees assign strong attention to the corporate culture. The existence of a suitable culture significantly influences the success of utilizing TE activities in the organization. Based on our empirical observations, aspects such as open interaction in teams across all hierarchical levels, changes in leadership styles (e.g., from autocratic to transformational leadership) resulting from generational changes in the top management of owner-managed firms, and empowerment of individual team members can be classified under the category of corporate culture. This leads to flatter hierarchies, much more internal communication, and great freedom for the people in creating and implementing innovative ideas. In addition, especially in SMEs, recognizable resistance can occur, especially in the initial phase of TE activities where first adapting new cultural habits step-by-step must be considered. Besides, the interviewees mentioned that generational changes within SMEs can inhibit the corporate culture and may lead to slight slowdowns in utilizing TE activities. In owner-managed SMEs in which the founder is still managing the firm and setting its vision, a generational change can be synonymous with a change in corporate culture, as indicated above.

Another crucial TE input component is the SME’s existing customer portfolio. In this regard, our empirical findings highlight the significance of understanding customer expectations as accurately as possible, in order to successfully carry out TE initiatives. Almost all SMEs that we considered in our sample are in a transformation process from a classical manufacturing company to a firm that wants to be much closer to its customers, with innovative solutions and TE activities. In this context, the development of new software solutions that complement the hardware products in a very intelligent way plays an especially important role. The success of this transformation process is very much related to performing an in-depth pain-point analysis of the customer portfolio. Some findings show that customers positively receive these types of measures regarding understanding customer pain points and providing technological solutions; they, in turn, perceive the companies as innovation leaders.

Regarding the product portfolio, which likewise represents a TE input component, the increasingly similar products on the market are a major challenge to the company’s maintaining its image as a unique firm. The market is expecting and perceiving the ever-increasing quality of products and corresponding services. In this context, TE activities play a crucial role in maintaining or building the unique selling proposition of certain firms.

Corporate research and development (R&D) capabilities are a further important input component of TE. Our interviews identified the very important role of the R&D department; they are the ones advancing the firm’s TE-related innovative activities. Furthermore, our results highlight that the R&D department consistently thinks about how existing processes and products can be even better and represents the core of TE initiatives. Ultimately, a high R&D rate and a suitable R&D budget are important prerequisites for successful TE implementation.

The corporate network environment represents an additional TE input component that we have divided into three parts: (1) collaboration with startups, (2) collaboration with universities/networks, and (3) collaboration with corporations. Collaboration with startups is a very fruitful and important success factor in conducting TE activities at SMEs, conditional upon making a suitable environment available. Therefore, many SMEs are highly active in the mergers and acquisitions (M&A) market, to acquire startups or invest in them. Another important element is collaboration with universities and specific networks. Universities especially are recognizably highly innovative, so SMEs initiate collaborations with such institutes to learn from them, as well as to fill the gap of existing TE-related know-how and capabilities. Likewise, access to experts from specific networks helps firms to understand existing approaches or collaborate on new approaches for overcoming emerging challenges.

The last empirically identified TE input component is corporate processes, which our interviewees controversially discussed. In many of our observations, the core organization and (for instance) a newly acquired startup are separated from each other to accelerate the processes related to TE activities. Some interviews revealed that processes in the core organization are seen as too tied to formality, representing a significant obstacle for innovative TE activities. On the other hand, some observations highlighted certain processes within SMEs that can also be as advantageous for innovations. In particular, fast decision-making processes, quick budget approvals, or extremely fine-tuned processes in place allow a very well-established foundation for utilizing successful TE activities.

Further details regarding our empirical findings and the corresponding quotes from the interviewees appear in Table .

Table 10. Further Details—Empirical Results of TE Input Components

4.3. TE process

The third aggregate, TE processes, includes three empirically identified second-order themes, two of which overlap with the theoretically developed initial flexible pattern matching template in Figure . Based on our empirical observations, we could not fully validate the remaining components of the TE process. Hence, these components are purely theoretical findings in our final framework that can also apply very well to SMEs. Analogous to our approach in the previous section related to the TE input components, we match the theoretical and empirical patterns and discuss similarities as well as differences, following the FPMA. Based on this logic, the next sections comprise the three parts: (a) theoretical findings, (b) concordant empirical and theoretical findings, and (c) empirical findings. Figure illustrates the TE process components.

Figure 7. TE process components.

Figure 7. TE process components.

4.3.1. Theoretical findings

Based on our theoretical findings, we identified two TE process components that are not covered by empirical observations: (a) an environmental component and (b) key activity sets of TE. According to Petti (Citation2009), suitable environmental conditions must exist in a firm to successfully conduct technology-based activities. Likewise, Maysami et al. (Citation2019) considered the environmental component an important element of the technological entrepreneurship ecosystem. This component represents an essential element of the TE process and is, therefore, in our framework. As already introduced in a previous section, the key activity sets of TE are likewise an important base for the ability to create new business opportunities in firms (Petti, Citation2009). When we generally compare these theoretical findings with our empirical observations using the FPMA, we cannot directly match them with empirical findings, but the content of the key activity sets can very well transfer to TE initiatives in SMEs. Therefore, these two components also represent a crucial element of our TE process framework.

4.3.2. Concordant empirical and theoretical findings

The following two TE process components appeared in both our literature analysis and empirical observations, namely, entrepreneurial component and management component. Petti (Citation2009) considers the entrepreneurial component activities of individuals and companies for discovering and utilizing the extraordinary and disruptive potential of rising technologies and business opportunities. According to our empirical results, the entrepreneurial component consists of a (a) change of mindset, (b) relation of a startup to the core business, and (c) human-technology collaboration. Our interviewees stated that SMEs generally should provide their employees with possibilities to develop an entrepreneurial mindset, to get them out of their well-trodden paths. This, in turn, is also a big change as the stakeholders involved must leave their comfort zone. Furthermore, some interviewees mentioned that a certain relationship must exist between the core business of SMEs and startups with which the SMEs are cooperating or which they have acquired. Mostly, SMEs have developed new business models that relate to their core business but do not completely correspond to it. Additionally, it is important to involve as many departments from the core organization as possible when working with startups. Likewise, the collaboration between humans and technology plays a significant role. According to our empirical results, the appropriate utilization of new technologies should result in employees being able to devote more time to complicated tasks that require human judgment and that technology cannot solve. This can significantly increase the efficiency of employees and, consequently, of the SME. Further details concerning the empirical results related to the entrepreneurial component appear in Table .

Table 11. Further Details—Entrepreneurial Component

In addition, Petti (Citation2009) highlights that the management component represents the activities of individual managers and companies required for creating a unique value proposition, enabling fast market entry to accomplish targeted business opportunities. Similarly, Korherr et al. (Citation2022) emphasize the importance of the management component when a firm implements analytics-based or technological activities. According to our empirical results, the management component consists of seven first-order categories. An important criterion for successful TE implementation is the strong engagement of top management. For example, some interviewees mentioned that their top management regularly organizes management committees and requests information on the project and budget status, as well as actively participating in the development of TE ideas. Furthermore, the interviewees stated that the preference for a market-driven or market-push approach is another crucial management decision. Depending on the firm’s aim, both approaches can lead to a successful implementation of TE activities. In cases where a company considers utilizing new and highly attractive technology, quickly introducing it to the market and being the first mover are crucial. Otherwise, other competitors would take the advantage of pioneering and gaining market shares. Waiting too long for the market to develop can make it impossible to catch up with the competition. Our interviewees stated that both directions must be appropriately considered, according to the situation. In certain situations, mainly considering customer requests (market-driven) can be relevant; other cases might require pushing certain TE initiatives from the technology direction (market-push). Another point of view in our empirical observations was that company size plays an important role. By focusing on such approaches as trend scouting, smaller companies observe the market development and the behavior of the first market entrants very early, adapting their TE strategy accordingly. The maintenance and awareness of the core value proposition in the SME’s business model is a further relevant management component within the TE process. In general, our empirical results highlight especially values, such as sustainability and quality, as the key value proposition criteria that must be retained and strengthened when conducting TE activities in SMEs. For further consideration of business model transformation-related aspects, our interviews show that management must profoundly analyze particular risks and challenges, to be able to prepare appropriate countermeasures. Besides, the successful utilization of TE activities is much more than just bringing intelligent employees together. The management must ensure that the necessary skills are available, or will be through training and development within the company in the various corporate functions, so all stakeholders can work on the TE implementation in a success-oriented manner. Additionally, interviewees mentioned that management should implement TE-based business model innovation (BMI) activities as a continuous process. Many examples from our interviews show that top management tended to launch a technological innovation once, then was satisfied with the accomplishment for several years, even decades. Nowadays, markets are very dynamic, and the approach of continuously aiming for new TE activities will lead to sustainable success. Moreover, the interviewees stated that being close to the core company strategy is very important. when developing new business models. Then, defining suitable activities enables stepwise development in the direction of new business models. As a final point regarding the management component, our empirical investigation revealed that management decisions, such as developing new products with low-cost technologies based on a second brand, could benefit the success of TE implementation. This, in turn, might particularly suit markets that low prices characterize. A new second brand helps to protect the SME’s main brand, which in most cases stands for higher quality and prices. Further details and the corresponding quotes from the interviewees appear and are compared in Table .

Table 12. Further Details—Management Component

4.3.3. Empirical findings

The organizational component is the last part of the TE process, derived entirely from empirical results. The organizational component comprises three first-order categories. The role of the organizational structure and establishment of a new business unit (BU) represents the first one. According to our empirical observations, the continuous progress of the market environment forces SMEs to adapt their internal organizational structures to remain competitive. This demands that SMEs appropriately shape their organizational design according to market needs and be able to react to market opportunities in a suitable manner. In addition, the establishment of a new innovative BU, deliberately kept remote from the core organization and relatively independent of group specifications, is another important component of the TE process. As mentioned previously, the distance between the core business and a new BU must be finely selected, depending on existing conditions. The second first-order category related to the organizational component is the topic of releasing employees for TE activities. Our interviewees mentioned that SMEs must release suitable employees for TE activities, so they can work full time on innovative topics. As stated, the selected and released coworkers should work in the newly established BU, separate from the core organization. Changing and automating certain corporate processes represents the final element of the organizational component. Our observations highlight that the utilization of TE activities will lastingly and inevitably lead to changes in organizational processes. The fact that these activities require efficient as well as automatic processes, and the customers expecting innovative processes mostly in a digital form, justify the changes. A solid, data-driven IT infrastructure within the firm is a very important prerequisite for the implementation of these points related to process optimization. Creating these preconditions is a big challenge for most SMEs, but one at which they get better over time. Likewise, the results regarding the organizational components appear in Table .

Table 13. Further Details—Organizational Component

4.4. TE output components

The TE output components represent the fourth and final aggregate dimension of our analysis. This dimension consists of four purely empirically identified output components: (a) corporate-function-related outputs, (b) business-model-related outputs, (c) competitiveness-related outputs, and (d) customer-related outputs. Our empirically observed output components specifically relate to SMEs, so we no longer consider the generally valid output components listed in our initial theoretical template at this point. The following sections analyze and discuss the empirical TE output components in more detail.

4.4.1. Corporate-function-related outputs

Corporate-function-related outputs represent the first output component of TE. Our empirical results indicate that TE has great importance to the sales function. In particular, the development of direct sales concepts and the utilization of new technologies, such as virtual reality to introduce customers to new products without being physically present with them, are the emerging trends for TE activities in sales. Another notable point was that salespeople must understand the new products resulting from TE activities and sell them using appropriate sales techniques. The sales team, which, in most cases, has been selling similar products for several decades, must now be able to sell new technologies as well as digital products. This requires appropriate change management that causes certain rethinking in the areas of sales. Furthermore, the importance of TE to service is also a significant aspect identified by our interviewees. Especially in recent years, the products of most SMEs operating in the manufacturing industry get increasingly similar, in terms of features and look. At this point, offering certain customer-oriented services can be an important differentiation criterion for companies. In this context, SMEs ask themselves how they can utilize TE activities so the customer ideally experiences the greatest service benefit. Likewise, significant optimization potential in the inside-sales function takes TE activities into account. According to our results, innovative TE initiatives helped SMEs to overcome situations in which the inside-sales department faced a huge number of requests and data that a human being alone could not handle. Collaborations with external companies enabled developing new technologies within a very short time, to automate the customer request and data-sorting process. Another highly relevant aspect identified from our empirical observations was the importance of TE for the IT department and infrastructure. To successfully utilize TE activities in SMEs, the firms must make mid- and long-term investments in the IT infrastructure. The availability of a strong IT department and landscape represents a crucial prerequisite for being able to perform innovative TE activities appropriately. To meet those prerequisites, many interviewees stated that their IT department and infrastructure adapted accordingly and, in some cases, even rebuilt. The final component of the corporate-function-related outputs mentioned by our interviewees was the importance of TE for procurement processes, which are highly analytical and can be calculated very accurately. Therefore, many TE activities based on such technologies as AI have already been carried out in the SME’s procurement departments to optimize specific processes. Further details concerning the empirical results that relate to the corporate function appear in Table .

Table 14. Further Details—Corporate-Function-Related outputs

4.4.2. Business-model-related outputs

The second TE output component is BM-related outputs. According to our empirical findings, several possibilities that exist for BMI in SMEs link to TE activities. Due to successfully performing TE activities in the past, some SMEs can now improve their machines with new features or applications during operations, by adding new functionalities via the software. These activities are not just about completely changing the BM but rather strengthening various BM components. Some observations highlighted an “equipment as a service” (EaaS) model that strongly relates to TE approaches and has great potential to disrupt and extend the BM of SMEs. In particular, EaaS initiatives can exploit new market potential if the actual BM is geared toward selling machines, and this market is already heavily saturated. Another crucial aspect of the TE output components is the role of the subscription model and recurring revenues. By conducting certain TE activities, a growing number of SMEs establish recurring-revenue components in their BMs and, thus, distance themselves from purely transactional business. This type of renewal in the BM establishes tremendous customer loyalty and, thus, represents sustainable competitive advantage. Further details regarding our empirical findings and the corresponding interviewees’ quotes appear in Table .

Table 15. Further Details—BM-related Outputs

4.4.3. Competitiveness-related outputs

Competitiveness-related outputs represent the third TE output component. According to our empirical observations, carrying out TE activities enables SMEs to act more flexibly on the market and, hence, to adapt their products and services to customer needs. SMEs particularly consider innovative technologies to achieve greater customer efficiency by optimizing and simplifying complex and slowed-down processes of customers and, thus, differentiate themselves from other market players. These types of TE activities likewise improve productivity and cost efficiency for customers by eliminating obstructive bottlenecks in manufacturing processes, for example, by utilizing AI technologies such as predictive maintenance. Overall, our empirical results show that TE activities have huge potential to enhance the reputation of SMEs and lead to the generation of competitive advantage. Further details concerning the empirical findings and quote examples from our interviewees appear in Table .

Table 16. Further Details—Competitiveness-related Outputs

4.4.4. Customer-related outputs

In this section, we introduce customer-related outputs that represent the last TE output component. Some of our interviewees mentioned that they conduct TE activities to shift to new customer groups previously not in scope. The idea is to focus on a new customer base closer to the firm (e.g., end customers) and create a unique value for those customers. These kinds of changes enable the SMEs to increase sales, as well as profits, accordingly. Interviewee IP09 reasoned as follows: “We want to create value with a different customer base. So this is more a topic that focuses on end customers … less the classic OEMs that we often equip but rather end users—that is, users of technology, people who have machines with them, which we then want to realize in machine monitoring” (IP09, Innovation Manager).

4.5. TE process framework in SMEs

Our TE process framework comprises all theoretical and empirical findings that previous sections identify and present. In our study, we have structured this framework so that it applies to SMEs, in particular. The text boxes in light gray result from the theoretical findings of our study. The dark gray text boxes illustrate those components we derived from both the theoretical and empirical results (concordant empirical and theoretical findings). All components shown in the white boxes reflect those obtained purely from empirical data (see, Figure ).

Figure 8. TE process framework in SMEs.

Figure 8. TE process framework in SMEs.

5. Discussions

Following the previous section, in which the findings from the FPMA were presented and the theoretical patterns were enriched with empirical insights, our findings are critically discussed in the following paragraphs. First, we consider components of the final TE process framework in SMEs in a more general context and divide our interviewees into three categories according to their hierarchies in their companies. We aim to understand which hierarchical group most focuses on each part of the TE process framework. Second, we contrast our FPMA results with the studies introduced in our literature review, as compiled in Table . At the end of this section, we summarize the key theoretical contributions of our study.

5.1. Focus of content according to hierarchical and expertise level

According to experience level and their roles in their firms, we assigned interviewees to three different hierarchical categories. Interviewees positioned at the highest ranked levels of the firms were assigned to the “Top Management” (TM) category. Interviewees with a medium-high hierarchical position heading departments with essential connections to TE activities were assigned to “Middle Management” (MM). Finally, interviewees with a high level of expertise and specialization in TE activities were assigned to the “Lower Management/TE Specialist” category (LM/TS). Table summarizes the allocation of our interviewees to these three hierarchical categories.

Table 17. Allocation of interviewees to hierarchical categories

In the second step, we analyzed the contribution of each hierarchical group to our four main aggregate dimensions (TE drivers, TE input components, TE process components, and TE output components) representing the main pillars of the final TE process framework (see, Figure ).

Figure 9. Contributions of hierarchical groups to aggregate dimensions.

Figure 9. Contributions of hierarchical groups to aggregate dimensions.

A closer analysis of the distributions within the TM group shows that they are most concentrated on TE drivers (39% of TM’s total contribution), followed by TE input components (25%), and TE process components (24%). The TM group focuses least on TE output components (12%). A similar distribution is also reflected in the MM group. They are likewise most concentrated on TE drivers (36% of MM’s total contribution), followed by TE input components (23%), and TE process components (21%). However, the focus of the MM group on TE output components is not as proportionally small as the TM group (20%). The main contribution of the final group, LM/TS, is also related to drivers (35% of LM/TS’ total contribution). This group’s second-largest contribution, however, is in the TE output components category (24%), followed by TE process components (22%), and TE input components (20%).

This analysis reveals that as the hierarchical level decreases, the importance of the output components increases. Our empirical results particularly show that TE specialists, as well as lower-level managers, pay more attention to the output components and present the outputs generated by TE activities in a more tangible way. According to our empirical observations, managers in higher and top level positions tend to focus on ensuring the availability of appropriate drivers and resources as well as the process-related functionality of TE activities.

5.2. A comparison to the literature review

In this section, we compare and contrast our FPMA results and critically discuss the key findings.

Hitt et al. (Citation2001) emphasizes that smaller firms develop many entrepreneurial, breakthrough technologies compared to larger companies. Our findings provide further insights concerning the potential reasons why particular components of the TE process drive German manufacturing SMEs to implement innovative technologies. Our empirical findings reveal that certain characteristics of German SMEs, such as fast decision-making processes or the especially fine-tuned processes in place, enable a faster and more efficient utilization of TE activities compared to larger firms.

Similar to Prodan’s (Citation2011) discoveries, the input component corporate network environment of our TE process framework underlines that collaborations with other corporations (e.g., joining forces and expertise), universities (e.g., advantages of knowledge transfer), and startups (e.g., access to relevant capabilities) are an important success factor when carrying out TE activities at SMEs. A significant number of SMEs are therefore highly present in the M&A market and acquire or invest in innovative startups. These findings also contribute to filling the research gap highlighted by Cavallo et al. (Citation2021) by further examining the collaboration of SMEs and innovative startups in terms of TE activities. Additionally, Prodan (Citation2011) underlines that the development of TE in SMEs needs to be expedited by governments. We supplement this finding by emphasizing that regulatory and political measures can serve as a driver but also as an obstacle if incorrectly selected. The government must drive TE activities in SMEs with appropriate policies and regulations to accelerate this development.

Furthermore, Bailetti (Citation2012) noted the relevance of TE for leaders and top managers in SMEs to create, deliver, and capture value to their stakeholders through technology. This finding is consistent with our observation that a close collaboration with top management represents an important success criterion for the implementation of TE activities. Our interviewees stated that top management must be closely involved in regular committee meetings and actively support the idea generation processes for TE activities.

In Liu et al.’s (Citation2022) study, the authors describe the importance of effective TE management to achieve a competitive advantage and improve the performance of firms, particularly those operating in the manufacturing industry. Likewise, our empirical observations illustrate that TE activities make SMEs operating in the manufacturing industry more flexible in terms of reacting to market dynamics and, thus, provide numerous possibilities for competitive advantage.

In our theory portion, we introduced the potential key indicative elements of transformation (Chaston, Citation2017; Thamhain, Citation2003), and we will make a final reference to them here. Previous studies have focused particularly on hard indicative elements, such as number of products and services newly launched on the market or the number of patents applied for, to analyze the level of technology-driven transformation in firms. In our study, especially in relation to the TE drivers presented extensively in the previous section, we provide a detailed overview of the soft key indicative elements of transformation through TE activities. Hence, we are developing a deep understanding of the importance of drivers and soft key indicative elements when conducting TE initiatives in SMEs operating in the manufacturing industry.

5.3. Summarizing the key theoretical contributions

Our study makes two major theoretical contributions. First, it provides empirically grounded insights into the emerging TE literature. We confirm prior findings on TE theory and additionally augment new observations in the field.

Second, we develop a new TE process framework that encompasses all process core components in relation to SMEs. We highlight that certain TE drivers and input components are fundamental elements of TE initiatives that significantly affect the TE process in SMEs, as well as the resulting output components. Previous models and theories on TE referred to any company size, whereas our framework is exactly tailored to SMEs operating in the German manufacturing industry. In doing so, we make a significant contribution to the current research gaps in the SME and TE literature underlined in our literature review in Table . Our findings can be used as a basis for further research and provide essential ground for academic discussions. This study contributes a new, state-of-the-art framework that meets an essential need in an increasingly growing field of academic research.

This discussion section highlights notable differences and similarities between our FPMA findings and existing academic studies and summarizes our key theoretical contributions. In our conclusions section, we specifically refer to the originality of our study and address its main managerial contributions in more detail.

6. Conclusions

In this study, we examine how technology-driven entrepreneurship processes transform the business of SMEs. For this purpose, we develop the TE process framework specifically applicable to SMEs. Our four aggregate dimensions—TE drivers, TE input components, TE process components, and TE output components—represent the core elements of the framework. The TE drivers, which have a huge influence especially on the TE input components, stimulate the TE process. Depending upon their form and the extent to which these drivers are present in SMEs, they can act as accelerators but also, in the negative case, as obstructors of the TE process. The input components basically represent the main ingredients of the core TE process and form the basis of the framework. Our empirical results show that a suitable composition of input components can exploit much new potential for value creation within SMEs. The input components directly affect the key components of the core TE process. Within that process, the key components create the ideal conditions for the key activity sets that comprise the discovery of new technologies, recognition and matching of new opportunities, development of recent technologies and applications, and creation of unique business value. Ultimately, TE output components raise opportunities for changes and shifts in various corporate functions, BM components, customer groups, and competitive relevance. As previously mentioned in the methodology section, the data on which these findings are based were analyzed and interpreted by both authors to ensure the objectivity of the research and to prevent the individual influence of each researcher using investigator triangulation (Archibald, Citation2016; Hair et al., Citation2015).

Our study is the first that develops a TE process framework for German SMEs from the manufacturing industry and analyzes its components deeply, and thus it makes a unique and original contribution to academia. Previous studies have instead dealt with the TE process in general terms and with little specific reference to particular regional conditions. Although we focused on the manufacturing industry and analyzed the specific regional setting of Germany, our final TE process framework is, to a significant extent, generalizable and likewise applicable to SMEs from other countries in the same industry. Due the global business relationships of the firms in our sample, the components and processes identified also have validity in other countries. Furthermore, our empirical patterns have shown that parts of our findings can also be applied to the service industry, as customer-oriented services can be an important differentiation criterion for companies and have relevance in the TE process. However, further analysis should be conducted to understand the extent to which our findings are applicable in other regions or industries.

Managerial implications

Based on the literature review, identified empirical patterns, and the discussion portion of this study, we have shown that a successful TE-driven transformation is strategically important for SME managers. Particularly, if a firm aims to create, deliver, and provide value to its stakeholders and customers through TE-driven innovation, managers need to be heavily involved in building and managing the TE process as well as executing corresponding activities (Bailetti, Citation2012; Prodan, Citation2011). Our results show that targeted customer focus and sustainable competitiveness is at risk if essential TE resources, capabilities, and processual components are not properly managed. In the following, we therefore summarize the most valuable managerial implications regarding the appropriate management of the TE process framework in SMEs from the manufacturing industry.

At each stage of the process, managers must consider various factors and characteristics of TE components to generate the desired business output. It starts with the fact that managers must ensure the availability of specific TE drivers. At this point, the right combination of drivers is especially important, since an improper constellation can lead to undesired results, as the findings section of this paper illustrates. Having the right TE drivers in place, practitioners can set up the input components appropriately, which, in turn, represent the foundation of the core TE process. Our results show that properly considering all these aspects can lead to achieving the expected outputs, and SMEs can transform as well as innovate their business processes using TE activities.

7. Limitations and suggestions for future research

Besides the important findings of this study, we also identify a few existing limitations and some suggestions for future research. One limitation is that our sample focuses on SMEs operating in the German manufacturing industry. We intended to derive significant theoretical and empirical findings based on a concrete understanding of TE activities in SMEs operating in this specific industry. As mentioned in our conclusions, a possible direction for further examination could be to conduct additional qualitative research focusing on other industries or geographical regions. In addition, it may be interesting to further verify our findings related to the TE process framework in SMEs by using a quantitative research method and consequently considering a larger sample to achieve a higher generalizability.

Moreover, the completion of one more stage of data analysis in a future study through for example, conducting a focus group, quantitatively testing the developed framework, or conducting a case study would further increase the validity of our findings.

Another limitation is that the current state of research on TE activities in German SMEs is at a very early stage but is becoming immensely important. While we consider currently identified theoretical and empirical findings in our framework, future research could reasonably extend our research findings with additional insights that might emerge with further development of this phenomenon.

Disclosure statement

The author did not disclose any possible conflicts of interest(s).

Additional information

Funding

The authors received no direct funding for this research.

Notes on contributors

Anil Yigit

Anil Yigit is a doctoral candidate at the Chair of Strategic Management and Digital Entrepreneurship at the HHL Leipzig Graduate School of Management in Germany. He earned his Master of Science in Business Administration and Economics with a focus on Management at the Technical University of Dortmund. His current research focuses on the significance of technological entrepreneurship and disruptive technologies in SMEs.

Dominik K. Kanbach

Dominik K. Kanbach is a Full Professor and holder of the Chair of Strategic Entrepreneurship at HHL Leipzig Graduate School of Management in Germany. He serves as the Academic Director of Research at HHL and leads the Strategic Entrepreneurship Research Group. He is co-founder of DIGITAL SPACE – The HHL Digital Transformation Platform focused on incubating digital business models. His research interest covers the fields of strategic management, entrepreneurship, and innovation management.

References

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