The emergence of artificial intelligence in the regional sciences: a literature review

References

• Acemoglu, D., and P. Restrepo. 2018. “The Race Between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment.” American Economic Review 108 (6): 1488–1542. doi:10.1257/aer.20160696
   Web of Science ®Google Scholar
• Acemoglu, D., and P. Restrepo. 2020. “The Wrong Kind of AI? Artificial Intelligence and the Future of Labour Demand.” Cambridge Journal of Regions, Economy and Society 13 (1): 25–35. doi:10.1093/cjres/rsz022
   Web of Science ®Google Scholar
• Adler, P., and R. Florida. 2021. “The Rise of Urban Tech: How Innovations for Cities Come from Cities.” Regional Studies 55 (10-11): 1787–1800. doi:10.1080/00343404.2021.1962520
   Web of Science ®Google Scholar
• Amabile, T. 2019. “Creativity, Artificial Intelligence, and a World of Surprises.” Academy of Management Discoveries 6 (3).
   Web of Science ®Google Scholar
• Araral, E. 2020. “Why do Cities Adopt Smart Technologies? Contingency Theory and Evidence from the United States.” Cities 106: 102873. doi:10.1016/j.cities.2020.102873
   Web of Science ®Google Scholar
• Baker, P. M., H. Gaspard, and J. A. Zhu. 2021. “Industry 4.0/Digitalization and Networks of Innovation in the North American Regional Context.” European Planning Studies 29 (9): 1708–1722. doi:10.1080/09654313.2021.1963053
   Web of Science ®Google Scholar
• Balland, P. A., and R. Boschma. 2021. “Mapping the Potentials of Regions in Europe to Contribute to new Knowledge Production in Industry 4.0 Technologies.” Regional Studies 55 (10-11): 1652–1666. doi:10.1080/00343404.2021.1900557
   Web of Science ®Google Scholar
• Barzotto, M., and L. De Propris. 2021. “The Value of Firm Linkages in the age of Industry 4.0: A Qualitative Comparative Analysis.” The Annals of Regional Science 67 (2): 245–272. doi:10.1007/s00168-021-01047-0
   Web of Science ®Google Scholar
• Bessagnet, A., J. Crespo, and J. Vicente. 2021. “Unraveling the Multi-Scalar and Evolutionary Forces of Entrepreneurial Ecosystems: A Historical Event Analysis Applied to IoT Valley.” Technovation 108: 102329. doi:10.1016/j.technovation.2021.102329
   Web of Science ®Google Scholar
• Bilgen, H. 2021. “A Global Comparison Methodology to Determine Critical Requirements for Achieving Industry 4.0.” Technological Forecasting and Social Change 172: 121036. doi:10.1016/j.techfore.2021.121036
   Web of Science ®Google Scholar
• Buarque, B. S., R. B. Davies, R. M. Hynes, and D. F. Kogler. 2020. “OK Computer: The Creation and Integration of AI in Europe.” Cambridge Journal of Regions, Economy and Society 13 (1): 175–192. doi:10.1093/cjres/rsz023
   Web of Science ®Google Scholar
• Busch, H. C., C. Mühl, M. Fuchs, and M. Fromhold-Eisebith. 2021. “Digital Urban Production: How Does Industry 4.0 Reconfigure Productive Value Creation in Urban Contexts?” Regional Studies 55 (10-11): 1801–1815. doi:10.1080/00343404.2021.1957460
   Web of Science ®Google Scholar
• Capello, R., and C. Lenzi. 2021. “Industry 4.0 and Servitisation: Regional Patterns of 4.0 Technological Transformations in Europe.” Technological Forecasting and Social Change 173: 121164. doi:10.1016/j.techfore.2021.121164
   Web of Science ®Google Scholar
• Caprotti, F., and D. Liu. 2020. Emerging platform urbanism in China: Reconfigurations of data, citizenship and materialities.
   Google Scholar
• Chambers, J., and J. Evans. 2020. “Informal Urbanism and the Internet of Things: Reliability, Trust and the Reconfiguration of Infrastructure.” Urban Studies 57 (14): 2918–2935. doi:10.1177/0042098019890798
   Web of Science ®Google Scholar
• Chang, V. 2021. “An Ethical Framework for big Data and Smart Cities.” Technological Forecasting and Social Change 165: 120559. doi:10.1016/j.techfore.2020.120559
   Web of Science ®Google Scholar
• Content, J., and K. Frenken. 2016. “Related Variety and Economic Development: A Literature Review.” European Planning Studies 24 (12): 2097–2112. doi:10.1080/09654313.2016.1246517
   Web of Science ®Google Scholar
• Cooke, P. 2020. “Silicon Valley Imperialists Create new Model Villages as Smart Cities in Their own Image.” Journal of Open Innovation: Technology, Market, and Complexity 6 (2): 24. doi:10.3390/joitmc6020024
   Google Scholar
• Cooke, P. 2021. “Three Disruptive Models of new Spatial Planning: “attention”, “Surveillance” or “Sustainable” Capitalisms?” Journal of Open Innovation: Technology, Market, and Complexity 7 (1): 46. doi:10.3390/joitmc7010046
   Google Scholar
• Corradini, C., E. Santini, and C. Vecciolini. 2021. “The Geography of Industry 4.0 Technologies Across European Regions.” Regional Studies 55 (10-11): 1667–1680. doi:10.1080/00343404.2021.1884216
   Web of Science ®Google Scholar
• Cristianini, N. 2014. “On the Current Paradigm in Artificial Intelligence.” AI Communications 27 (1): 37–43. doi:10.3233/AIC-130582
   Web of Science ®Google Scholar
• Cristianini, N. 2021. “Shortcuts to Artificial Intelligence.” In Machines We Trust, edited by M. Pelillo, and T. Scantamburlo, 11–26. Cambridge, MA: MIT Press.
   Google Scholar
• Cristianini, N., and T. Scantamburlo. 2020. “On Social Machines for Algorithmic Regulation.” AI & Society 35: 645–662. doi:10.1007/s00146-019-00917-8
   Web of Science ®Google Scholar
• Culot, G., G. Nassimbeni, G. Orzes, and M. Sartor. 2020. “Behind the Definition of Industry 4.0: Analysis and Open Questions.” International Journal of Production Economics 226: 107617. doi:10.1016/j.ijpe.2020.107617
   Web of Science ®Google Scholar
• De Propris, L., and D. Bailey. 2021. “Pathways of Regional Transformation and Industry 4.0.” Regional Studies 55 (10-11): 1617–1629. doi:10.1080/00343404.2021.1960962
   Web of Science ®Google Scholar
• Di Vaio, A., R. Palladino, R. Hassan, and O. Escobar. 2020. “Artificial Intelligence and Business Models in the Sustainable Development Goals Perspective: A Systematic Literature Review.” Journal of Business Research 121: 283–314. doi:10.1016/j.jbusres.2020.08.019
   Web of Science ®Google Scholar
• Dignam, A. 2020. “Artificial Intelligence, Tech Corporate Governance and the Public Interest Regulatory Response.” Cambridge Journal of Regions, Economy and Society 13 (1): 37–54. doi:10.1093/cjres/rsaa002
   Web of Science ®Google Scholar
• Doloreux, D., and E. Turkina. 2021. “New Path Creation in the Artificial Intelligence Industry: Regional Preconditions, new Actors and Their Collective Actions, and Policies.” Regional Studies 55 (10-11): 1751–1763. doi:10.1080/00343404.2021.1919610
   Web of Science ®Google Scholar
• Duman, M. C., and B. Akdemir. 2021. “A Study to Determine the Effects of Industry 4.0 Technology Components on Organizational Performance.” Technological Forecasting and Social Change 167: 120615. doi:10.1016/j.techfore.2021.120615
   Web of Science ®Google Scholar
• Fagerberg, J., and B. Verspagen. 2009. “Innovation Studies—The Emerging Structure of a new Scientific Field.” Research Policy 38: 218–233. doi:10.1016/j.respol.2008.12.006
   Web of Science ®Google Scholar
• Fang, C., X. Yu, X. Zhang, J. Fang, and H. Liu. 2020. “Big Data Analysis on the Spatial Networks of Urban Agglomeration.” Cities 102: 102735. doi:10.1016/j.cities.2020.102735
   Web of Science ®Google Scholar
• Floridi, L., and J. Cowls. 2019. “A Unified Framework of Five Principles for AI in Society.” Harvard Data Science Review 1 (1): 1–15.
   Google Scholar
• Frank, M. R., D. Wang, M. Cebrian, and I. Rahwan. 2019. “The Evolution of Citation Graphs in Artificial Intelligence Research.” Nature Machine Intelligence 1 (2): 79–85. doi:10.1038/s42256-019-0024-5
   Google Scholar
• Fromhold-Eisebith, M., P. Marschall, R. Peters, and P. Thomes. 2021. “Torn Between Digitized Future and Context Dependent Past – How Implementing ‘Industry 4.0’ Production Technologies Could Transform the German Textile Industry.” Technological Forecasting and Social Change 166: 120620. doi:10.1016/j.techfore.2021.120620
   Web of Science ®Google Scholar
• Fröhlich, K., and R. Hassink. 2018. “Regional Resilience: A Stretched Concept?” European Planning Studies 26 (9): 1763–1778. doi:10.1080/09654313.2018.1494137
   Web of Science ®Google Scholar
• Furman, J., and R. Seamans. 2019. “AI and the Economy.” Innovation Policy and the Economy 19 (1): 161–191. doi:10.1086/699936
   Google Scholar
• Gentili, A., F. Compagnucci, M. Gallegati, and E. Valentini. 2020. “Are Machines Stealing our Jobs?” Cambridge Journal of Regions, Economy and Society 13 (1): 153–173. doi:10.1093/cjres/rsz025
   Web of Science ®Google Scholar
• Girasa, R. 2020. Artificial Intelligence as a Disruptive Technology: Economic Transformation and Government Regulation. Cham: Springer Nature.
   Google Scholar
• Goel, R. K., C. S. Yadav, and S. Vishnoi. 2021. “Self-sustainable Smart Cities: Socio-Spatial Society Using Participative Bottom-up and Cognitive top-Down Approach.” Cities 118: 103370. doi:10.1016/j.cities.2021.103370
   Web of Science ®Google Scholar
• Gupta, A., P. Panagiotopoulos, and F. Bowen. 2020. “An Orchestration Approach to Smart City Data Ecosystems.” Technological Forecasting and Social Change 153: 119929. doi:10.1016/j.techfore.2020.119929
   Web of Science ®Google Scholar
• Haefner, N., J. Wincent, V. Parida, and O. Gassmann. 2021. “Artificial Intelligence and Innovation Management: A Review, Framework, and Research Agenda✰.” Technological Forecasting and Social Change 162: 120392. doi:10.1016/j.techfore.2020.120392
   Web of Science ®Google Scholar
• He, Q., J. Zhou, S. Tan, Y. Song, L. Zhang, Y. Mou, and J. Wu. 2020. “What is the Developmental Level of Outlying Expansion Patches? A Study of 275 Chinese Cities Using Geographical big Data.” Cities 105: 102395. doi:10.1016/j.cities.2019.102395
   Web of Science ®Google Scholar
• Henry, M., D. Schraven, N. Bocken, K. Frenken, M. Hekkert, and J. Kirchherr. 2021. “The Battle of the Buzzwords: A Comparative Review of the Circular Economy and the Sharing Economy Concepts.” Environmental Innovation and Societal Transitions 38: 1–21. doi:10.1016/j.eist.2020.10.008
   Web of Science ®Google Scholar
• Hervás-Oliver, J. L. 2021. “Industry 4.0 in Industrial Districts: Regional Innovation Policy for the Toy Valley District in Spain.” Regional Studies 55 (10-11): 1775–1786. doi:10.1080/00343404.2021.1939861
   Web of Science ®Google Scholar
• Huang, T. L., and B. S. Liu. 2021. “Augmented Reality is Human-Like: How the Humanizing Experience Inspires Destination Brand Love.” Technological Forecasting and Social Change 170: 120853. doi:10.1016/j.techfore.2021.120853
   Web of Science ®Google Scholar
• Hui, E. C., X. Li, T. Chen, and W. Lang. 2020. “Deciphering the Spatial Structure of China's Megacity Region: A new bay Area—The Guangdong-Hong Kong-Macao Greater Bay Area in the Making.” Cities 105: 102168. doi:10.1016/j.cities.2018.10.011
   Web of Science ®Google Scholar
• Indaco, A. 2020. “From Twitter to GDP: Estimating Economic Activity from Social Media.” Regional Science and Urban Economics 85: 103591. doi:10.1016/j.regsciurbeco.2020.103591
   Web of Science ®Google Scholar
• Iqbal, R., F. Doctor, B. More, S. Mahmud, and U. Yousuf. 2020. “Big Data Analytics: Computational Intelligence Techniques and Application Areas.” Technological Forecasting and Social Change 153: 119253. doi:10.1016/j.techfore.2018.03.024
   Web of Science ®Google Scholar
• Jeannerat, H., and T. Theurillat. 2021. “Old Industrial Spaces Challenged by Platformized Value-Capture 4.0.” Regional Studies 55 (10-11): 1738–1750. doi:10.1080/00343404.2021.1935840
   Web of Science ®Google Scholar
• Julsrud, T. E., and J. R. Krogstad. 2020. “Is There Enough Trust for the Smart City? Exploring Acceptance for use of Mobile Phone Data in Oslo and Tallinn.” Technological Forecasting and Social Change 161: 120314. doi:10.1016/j.techfore.2020.120314
   PubMed Web of Science ®Google Scholar
• Kagermann, H., W. Wahlster, and J. Helbig. 2013. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0. Industrie 4.0 Working Group of Acatech.
   Google Scholar
• Kahle, J. H., É Marcon, A. Ghezzi, and A. G. Frank. 2020. “Smart Products Value Creation in SMEs Innovation Ecosystems.” Technological Forecasting and Social Change 156: 120024. doi:10.1016/j.techfore.2020.120024
   Web of Science ®Google Scholar
• Kandt, J., and M. Batty. 2021. “Smart Cities, big Data and Urban Policy: Towards Urban Analytics for the Long run.” Cities 109: 102992. doi:10.1016/j.cities.2020.102992
   Web of Science ®Google Scholar
• Keding, C. 2021. “Understanding the Interplay of Artificial Intelligence and Strategic Management: Four Decades of Research in Review.” Management Review Quarterly 71 (1): 91–134. doi:10.1007/s11301-020-00181-x
   Google Scholar
• Kim, B., M. Yoo, K. C. Park, K. R. Lee, and J. H. Kim. 2021. “A Value of Civic Voices for Smart City: A big Data Analysis of Civic Queries Posed by Seoul Citizens.” Cities 108: 102941. doi:10.1016/j.cities.2020.102941
   Web of Science ®Google Scholar
• Kumar, H., M. K. Singh, M. P. Gupta, and J. Madaan. 2020. “Moving Towards Smart Cities: Solutions That Lead to the Smart City Transformation Framework.” Technological Forecasting and Social Change 153: 119281. doi:10.1016/j.techfore.2018.04.024
   Web of Science ®Google Scholar
• Kummitha, R. K. R. 2020. “Why Distance Matters: The Relatedness Between Technology Development and its Appropriation in Smart Cities.” Technological Forecasting and Social Change 157: 120087. doi:10.1016/j.techfore.2020.120087
   Web of Science ®Google Scholar
• Labory, S., and P. Bianchi. 2021. “Regional Industrial Policy in Times of big Disruption: Building Dynamic Capabilities in Regions.” Regional Studies 55 (10-11): 1829–1838. doi:10.1080/00343404.2021.1928043
   Web of Science ®Google Scholar
• Larson, W., and Z. Weihua. 2020. “Self-driving Cars and the City: Effects on Sprawl, Energy Consumption, and Housing Affordability.” Regional Science and Urban Economics 81. doi:10.1016/j.regsciurbeco.2019.103484
   Web of Science ®Google Scholar
• Lazzeretti, L. 2020. “What is the Role of Culture Facing the Digital Revolution Challenge? Some Reflections for a Research Agenda.” European Planning Studies, 1–21. doi:10.1080/09654313.2020.1836133.
   Web of Science ®Google Scholar
• Lepore, D., and F. Spigarelli. 2020. “Integrating Industry 4.0 Plans Into Regional Innovation Strategies.” Local Economy: The Journal of the Local Economy Policy Unit 35 (5): 496–510. doi:10.1177/0269094220937452
   Google Scholar
• Lim, C., G. H. Cho, and J. Kim. 2021. “Understanding the Linkages of Smart-City Technologies and Applications: Key Lessons from a Text Mining Approach and a Call for Future Research.” Technological Forecasting and Social Change 170: 120893. doi:10.1016/j.techfore.2021.120893
   Web of Science ®Google Scholar
• Liu, W., W. Wu, P. Thakuriah, and J. Wang. 2020. “The Geography of Human Activity and Land use: A big Data Approach.” Cities 97: 102523. doi:10.1016/j.cities.2019.102523
   Web of Science ®Google Scholar
• Ma, Y., J. Wright, S. Gopal, and N. Phillips. 2020. “Seeing the Invisible: From Imagined to Virtual Urban Landscapes.” Cities 98: 102559. doi:10.1016/j.cities.2019.102559
   Web of Science ®Google Scholar
• McAfee, A., and E. Brynjolfsson. (2012). “Big Data: The Management Revolution.” Harvard Business Review 90 (10): 60–66, 68, 128. PMID: 23074865.
   Google Scholar
• Mohamed, N., J. Al-Jaroodi, I. Jawhar, A. Idries, and F. Mohammed. 2020. “Unmanned Aerial Vehicles Applications in Future Smart Cities.” Technological Forecasting and Social Change 153: 119293. doi:10.1016/j.techfore.2018.05.004
   Web of Science ®Google Scholar
• Monachesi, P. 2020. “Shaping an Alternative Smart City Discourse Through Twitter: Amsterdam and the Role of Creative Migrants.” Cities 100: 102664. doi:10.1016/j.cities.2020.102664
   Web of Science ®Google Scholar
• Olson, A. W., F. Calderón-Figueroa, O. Bidian, D. Silver, and S. Sanner. 2021. “Reading the City Through its Neighbourhoods: Deep Text Embeddings of Yelp Reviews as a Basis for Determining Similarity and Change.” Cities 110: 103045. doi:10.1016/j.cities.2020.103045
   Web of Science ®Google Scholar
• Pasquale, F. 2015. The Black Box Society: The Secret Algorithms That Control Money and Information. Cambridge, MA: Harvard University Press.
   Google Scholar
• Perez, C. 2002. Technological Revolutions and Financial Capital. The Dynamic of Bubbles and Golden Ages. Cheltenham, UK: Edward Elgar.
   Google Scholar
• Ranchod, R. 2020. “The Data-Technology Nexus in South African Secondary Cities: The Challenges to Smart Governance.” Urban Studies 57 (16): 3281–3298. doi:10.1177/0042098019896974
   Web of Science ®Google Scholar
• Rice, J., and N. Martin. 2020. “Smart Infrastructure Technologies: Crowdsourcing Future Development and Benefits for Australian Communities.” Technological Forecasting and Social Change 153: 119256. doi:10.1016/j.techfore.2018.03.027
   Web of Science ®Google Scholar
• Russell, S., D. Dewey, and M. Tegmark. 2015. “Research Priorities for Robust and Beneficial Artificial Intelligence.” Ai Magazine 36 (4): 105–114. doi:10.1609/aimag.v36i4.2577
   Web of Science ®Google Scholar
• Russell, S., and P. Norvig. 2003. Artificial Intelligence:A Modern Approach. 2nd edn. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Sandulli, F. D., E. M. Gimenez-Fernandez, and M. I. Rodriguez Ferradas. 2021. “The Transition of Regional Innovation Systems to Industry 4.0: The Case of Basque Country and Catalonia.” European Planning Studies 29 (9): 1622–1636. doi:10.1080/09654313.2021.1963049
   Web of Science ®Google Scholar
• Sedita, S. R., A. Caloffi, and L. Lazzeretti. 2020. “The Invisible College of Cluster Research: A Bibliometric Core–Periphery Analysis of the Literature.” Industry and Innovation 27 (5): 562–584. doi:10.1080/13662716.2018.1538872
   Web of Science ®Google Scholar
• Shamsuzzoha, A., J. Nieminen, S. Piya, and K. Rutledge. 2021. “Smart City for Sustainable Environment: A Comparison of Participatory Strategies from Helsinki, Singapore and London.” Cities 114. doi:10.1016/j.cities.2021.103194
   PubMed Web of Science ®Google Scholar
• Siltori, P. F., R. Anholon, I. S. Rampasso, O. L. Quelhas, L. A. Santa-Eulalia, and W. Leal Filho. 2021. “Industry 4.0 and Corporate Sustainability: An Exploratory Analysis of Possible Impacts in the Brazilian Context.” Technological Forecasting and Social Change 167: 120741. doi:10.1016/j.techfore.2021.120741
   Web of Science ®Google Scholar
• Staletić, N., A. Labus, Z. Bogdanović, M. Despotović-Zrakić, and B. Radenković. 2020. “Citizens’ Readiness to Crowdsource Smart City Services: A Developing Country Perspective.” Cities 107: 102883. doi:10.1016/j.cities.2020.102883
   Web of Science ®Google Scholar
• Wamba, S. F., R. E. Bawack, C. Guthrie, M. M. Queiroz, and K. D. A. Carillo. 2021. “Are we Preparing for a Good AI Society? A Bibliometric Review and Research Agenda.” Technological Forecasting and Social Change 164: 120482. doi:10.1016/j.techfore.2020.120482
   Web of Science ®Google Scholar
• Wang, M., and F. Vermeulen. 2021. “Life Between Buildings from a Street View Image: What do big Data Analytics Reveal About Neighbourhood Organisational Vitality?” Urban Studies 58 (15): 3118–3139. doi:10.1177/0042098020957198
   Web of Science ®Google Scholar
• While, A. H., S. Marvin, and M. Kovacic. 2021. “Urban Robotic Experimentation: San Francisco, Tokyo and Dubai.” Urban Studies 58 (4): 769–786. doi:10.1177/0042098020917790
   Web of Science ®Google Scholar
• Wu, J., Z. Feng, X. Zhang, Y. Xu, and J. Peng. 2020. “Delineating Urban Hinterland Boundaries in the Pearl River Delta: An Approach Integrating Toponym co-Occurrence with Field Strength Model.” Cities 96: 102457. doi:10.1016/j.cities.2019.102457
   Web of Science ®Google Scholar
• Xiao, J., and R. Boschma. 2021. “The Emergence of Artificial Intelligence in European Regions: the Role of a Local ICT Base.” Papers in Evolutionary Economic Geography (PEEG) 2117, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography.
   Google Scholar
• Yan, J., J. Liu, and F. M. Tseng. 2020. “An Evaluation System Based on the Self-Organizing System Framework of Smart Cities: A Case Study of Smart Transportation Systems in China.” Technological Forecasting and Social Change 153: 119371. doi:10.1016/j.techfore.2018.07.009
   Web of Science ®Google Scholar
• Yang, Z., D. Wu, and D. Wang. 2021. “Exploring Spatial Path Dependence in Industrial Space with big Data: A Case Study of Beijing.” Cities 108: 102975. doi:10.1016/j.cities.2020.102975
   Web of Science ®Google Scholar
• Zhu, S., W. Jin, and C. He. 2019. ‘On Evolutionary Economic Geography: A Literature Review Using Bibliometric Analysis.’ European Planning Studies 27 (4): 639–660. doi:10.1080/09654313.2019.1568395
   Web of Science ®Google Scholar