The role of agglomeration in digitalisation and productivity: an empirical examination of manufacturing SMEs in South Korea

References

• Aarstad, J., Kvitastein, O. A., & Jakobsen, S.-E. (2016). Related and unrelated variety as regional drivers of enterprise productivity and innovation: A multilevel study. Research Policy, 45(4), 844–856. https://doi.org/10.1016/j.respol.2016.01.013
   Web of Science ®Google Scholar
• Agostini, L., & Nosella, A. (2020). The adoption of Industry 4.0 technologies in SMEs: Results of an international study. Management Decision, 58, 625–643. https://doi.org/10.1108/MD-09-2018-0973
   Web of Science ®Google Scholar
• Antonietti, R., & Cainelli, G. (2011). The role of spatial agglomeration in a structural model of innovation, productivity and export: A firm-level analysis. The Annals of Regional Science, 46(3), 577–600. https://doi.org/10.1007/s00168-009-0359-7
   Web of Science ®Google Scholar
• Arrow, K. J. (1962). The economic implications of learning by doing. The Review of Economic Studies, 29(3), 155–173. https://doi.org/10.2307/2295952
   Web of Science ®Google Scholar
• Balland, P. A., & Boschma, R. (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. https://doi.org/10.1080/00343404.2021.1900557
   Web of Science ®Google Scholar
• Baptista, R., & Swann, P. (1998). Do firms in clusters innovate more? Research Policy, 27(5), 525–540. https://doi.org/10.1016/S0048-7333(98)00065-1
   Web of Science ®Google Scholar
• Barzotto, M., & De Propris, L. (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. https://doi.org/10.1007/s00168-021-01047-0
   Web of Science ®Google Scholar
• Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., & Portugali, Y. (2012). Smart cities of the future. The European Physical Journal Special Topics, 214(1), 481–518. https://doi.org/10.1140/epjst/e2012-01703-3
   Web of Science ®Google Scholar
• Boschma, R. A. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74. https://doi.org/10.1080/0034340052000320887
   Web of Science ®Google Scholar
• Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation: Information technology, organizational transformation and business performance. Journal of Economic Perspectives, 14(4), 23–48. https://doi.org/10.1257/jep.14.4.23
   Web of Science ®Google Scholar
• Büchi, G., Cugno, M., & Castagnoli, R. (2020). Smart factory performance and Industry 4.0. Technological Forecasting and Social Change, 150, 119790. https://doi.org/10.1016/j.techfore.2019.119790
   Web of Science ®Google Scholar
• Busch, H. C., Mühl, C., Fuchs, M., & Fromhold-Eisebith, M. (2021). Digital urban production: How does Industry 4.0 reconfigure productive value creation in urban contexts? Regional Studies, 55(10–11), 1801–1815. https://doi.org/10.1080/00343404.2021.1957460
   Web of Science ®Google Scholar
• Castaldi, C., Frenken, K., & Los, B. (2015). Related variety, unrelated variety and technological breakthroughs: An analysis of US state-level patenting. Regional Studies, 49(5), 767–781. https://doi.org/10.1080/00343404.2014.940305
   Web of Science ®Google Scholar
• Choi, M., & Choi, T. (2017). Agglomeration, productivity, and high-growth firms in the manufacturing sector of South Korea. International Journal of Urban Sciences, 21(1), 58–71. https://doi.org/10.1080/12265934.2016.1195278
   Web of Science ®Google Scholar
• Chowdhury, S., Haftor, D., & Pashkevich, N. (2018). Smart product-service systems (Smart PSS) in industrial firms: A literature review. Procedia CIRP, 73, 26–31. https://doi.org/10.1016/j.procir.2018.03.333
   Google Scholar
• Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553
   Web of Science ®Google Scholar
• Cooke, P. (2021). Image and reality: ‘digital twins’ in smart factory automotive process innovation–critical issues. Regional Studies, 55(10-11), 1630–1641. https://doi.org/10.1080/00343404.2021.1959544
   Web of Science ®Google Scholar
• Cowan, R., David, P. A., & Foray, D. (2000). The explicit economics of knowledge codification and tacitness. Industrial and Corporate Change, 9(2), 211–253. https://doi.org/10.1093/icc/9.2.211
   Google Scholar
• Dachs, B., Kinkel, S., & Jäger, A. (2019). Bringing it all back home? Backshoring of manufacturing activities and the adoption of Industry 4.0 technologies. Journal of World Business, 54(6), 101017. https://doi.org/10.1016/j.jwb.2019.101017
   Web of Science ®Google Scholar
• Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383–394. https://doi.org/10.1016/j.ijpe.2018.08.019
   Web of Science ®Google Scholar
• Evjemo, L. D., Gjerstad, T., Grøtli, E. I., & Sziebig, G. (2020). Trends in smart manufacturing: Role of humans and industrial robots in smart factories. Current Robotics Reports, 1(2), 35–41. https://doi.org/10.1007/s43154-020-00006-5
   Google Scholar
• Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
   Web of Science ®Google Scholar
• Frenken, K., Van Oort, F., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685–697. https://doi.org/10.1080/00343400601120296
   Web of Science ®Google Scholar
• Friedrich, J., Scheifele, S., Verl, A., & Lechler, A. (2015). Flexible and modular control and manufacturing system. Procedia CIRP, 33, 115–120. https://doi.org/10.1016/j.procir.2015.06.022
   Google Scholar
• Gilchrist, A. (2016). Industry 4.0: The industrial internet of things. Apress.
   Google Scholar
• Glaeser, E. (2011). Triumph of the city: How urban spaces make US human. Penguin.
   Google Scholar
• Glaeser, E. L., Kallal, H. D., Scheinkman, J. A., & Shleifer, A. (1992). Growth in cities. Journal of Political Economy, 100(6), 1126–1152. https://doi.org/10.1086/261856
   Web of Science ®Google Scholar
• Götz, M., & Jankowska, B. (2017). Clusters and Industry 4.0–do they fit together? European Planning Studies, 25, 1633–1653. https://doi.org/10.1080/09654313.2017.1327037
   Web of Science ®Google Scholar
• Haller, S. A., & Siedschlag, I. (2011). Determinants of ICT adoption: Evidence from firm-level data. Applied Economics, 43(26), 3775–3788. https://doi.org/10.1080/00036841003724411
   Web of Science ®Google Scholar
• Hervas-Oliver, J. L., Estelles-Miguel, S., Mallol-Gasch, G., & Boix-Palomero, J. (2019). A place-based policy for promoting iIndustry 4.0: The case of the Castellon ceramic tile district. European Planning Studies, 27(9), 1838–1856. https://doi.org/10.1080/09654313.2019.1642855
   Web of Science ®Google Scholar
• Holl, A., & Rama, R. (2023). Spatial patterns and drivers of SME digitalisation. Journal of the Knowledge Economy, 1–25.
   Web of Science ®Google Scholar
• Hox, J. J., Moerbeek, M., & Van de Schoot, R. (2017). Multilevel analysis: Techniques and applications (3rd ed.). Routledge.
   Google Scholar
• Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative Industrie 4.0: Securing the future German manufacturing industry. Final report of the Industrie 4.0 Working Group. Acatech, Forschungsunion.
   Google Scholar
• Lundvall, BÅ, & Johnson, B. (1994). The learning economy. Journal of Industry Studies, 1(2), 23–42. https://doi.org/10.1080/13662719400000002
   Google Scholar
• Malmberg, A., & Maskell, P. (2006). Localized learning revisited. Growth and Change, 37(1), 1–18. https://doi.org/10.1111/j.1468-2257.2006.00302.x
   Web of Science ®Google Scholar
• Marshall, A. (1961). Principles of economics: An introductory volume (9th ed.). Macmillan. Original work published 1860.
   Google Scholar
• McCann, P., & Simonen, J. (2005). Innovation, knowledge spillovers and local labour markets. Papers in Regional Science, 84(3), 465–485. https://doi.org/10.1111/j.1435-5957.2005.00036.x
   Web of Science ®Google Scholar
• Melo, P. C., Graham, D. J., & Noland, R. B. (2009). A meta-analysis of estimates of urban agglomeration economies. Regional Science and Urban Economics, 39(3), 332–342. https://doi.org/10.1016/j.regsciurbeco.2008.12.002
   Web of Science ®Google Scholar
• Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194–214. https://doi.org/10.1016/j.jmsy.2018.10.005
   Web of Science ®Google Scholar
• Muscio, A., & Ciffolilli, A. (2020). What drives the capacity to integrate Industry 4.0 technologies? Evidence from European R&D projects. Economics of Innovation and New Technology, 29(2), 169–183. https://doi.org/10.1080/10438599.2019.1597413
   Web of Science ®Google Scholar
• Neirotti, P., De Marco, A., Cagliano, A. C., Mangano, G., & Scorrano, F. (2014). Current trends in Smart City initiatives: Some stylised facts. Cities, 38, 25–36. https://doi.org/10.1016/j.cities.2013.12.010
   Web of Science ®Google Scholar
• Park, J.-I. (2023). Re-urbanization pattern of manufacturing and characteristics of urban manufacturing in South Korea. Cities, 137, 104330. https://doi.org/10.1016/j.cities.2023.104330
   Web of Science ®Google Scholar
• Park, J. I., & Choi, T. (2022). Related variety, unrelated variety, and R&D investment in the environmental industry. Asian Journal of Technology Innovation, 1–16.
   Web of Science ®Google Scholar
• Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546. https://doi.org/10.1016/j.ijpe.2019.107546
   Web of Science ®Google Scholar
• Rehnberg, M., & Ponte, S. (2018). From smiling to smirking? 3D printing, upgrading and the restructuring of global value chains. Global Networks, 18(1), 57–80. https://doi.org/10.1111/glob.12166
   Web of Science ®Google Scholar
• Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1037. https://doi.org/10.1086/261420
   Web of Science ®Google Scholar
• Rosenthal, S. S., & Strange, W. C. (2004). Evidence on the nature and sources of agglomeration economies. In J. V. Henderson & J.-F. Thisse (Eds.), Handbook of regional and urban economics (Vol. 4, pp. 2119–2171). Elsevier.
   Google Scholar
• Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161–166. https://doi.org/10.1016/j.procir.2016.07.040
   Google Scholar
• Storper, M., & Venables, A. J. (2004). Buzz: Face-to-face contact and the urban economy. Journal of Economic Geography, 4(4), 351–370. https://doi.org/10.1093/jnlecg/lbh027
   Web of Science ®Google Scholar
• Strambach, S., & Klement, B. (2012). Cumulative and combinatorial micro-dynamics of knowledge: The role of space and place in knowledge integration. European Planning Studies, 20(11), 1843–1866. https://doi.org/10.1080/09654313.2012.723424
   Web of Science ®Google Scholar
• Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157–169. https://doi.org/10.1016/j.jmsy.2018.01.006
   Web of Science ®Google Scholar
• Vaillant, Y., Lafuente, E., Horváth, K., & Vendrell-Herrero, F. (2021). Regions on course for the fourth industrial revolution: The role of a strong indigenous T-KIBS sector. Regional Studies, 55(10–11), 1816–1828. https://doi.org/10.1080/00343404.2021.1899157
   Web of Science ®Google Scholar
• Vissers, G., & Dankbaar, B. (2013). Knowledge and proximity. European Planning Studies, 21(5), 700–721. https://doi.org/10.1080/09654313.2013.734459
   Web of Science ®Google Scholar
• Wiktorsson, M., Noh, S. D., Bellgran, M., & Hanson, L. (2018). Smart factories: South Korean and Swedish examples on manufacturing settings. Procedia Manufacturing, 25, 471–478. https://doi.org/10.1016/j.promfg.2018.06.128
   Google Scholar
• Won, J. Y., & Park, M. J. (2020). Smart factory adoption in small and medium-sized enterprises: Empirical evidence of manufacturing industry in Korea. Technological Forecasting and Social Change, 157, 120117. https://doi.org/10.1016/j.techfore.2020.120117
   Web of Science ®Google Scholar