To be more independent or more dependent? The evolution mechanism of co-innovation between digital platforms and content creators

References

• Abbate, T., Codini, A. P., & Aquilani, B. (2019). Knowledge co-creation in open innovation digital platforms: Processes, tools and services. Journal of Business & Industrial Marketing, 34(7), 1434–1447. https://doi.org/10.1108/JBIM-09-2018-0276
   Web of Science ®Google Scholar
• Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science (New York, N.Y.), 286(5439), 509–512. Retrieved from 10.1126/science.286.5439.
   PubMed Web of Science ®Google Scholar
• Baum, J. A. C., Cowan, R., & Jonard, N. (2010). Network-independent partner selection and the evolution of innovation networks. Management Science, 56(11), 2094–2110. Retrieved from https://doi.org/10.1287/mnsc.1100.1229
   Web of Science ®Google Scholar
• Baumann, O., Schmidt, J., & Stieglitz, N. (2019). Effective search in rugged performance landscapes: A review and outlook. Journal of Management, 45(1), 285–318. Retrieved from https://doi.org/10.1177/0149206318808594
   Web of Science ®Google Scholar
• Bresciani, S., Ciampi, F., Meli, F., & Ferraris, A. (2021). Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda. International Journal of Information Management, 60, 102347. Retrieved from https://doi.org/10.1016/j.ijinfomgt.2021.102347
   Web of Science ®Google Scholar
• Brunswicker, S., Almirall, E., & Majchrzak, A. (2019). Optimizing and satisficing: The interplay between platform architecture and producers’ design strategies for platform performance. MIS Quarterly, 43(4), 1249–1277. Retrieved from 10.25300/MISQ/2019/13561
   Web of Science ®Google Scholar
• Chen, M., Kaul, A., & Wu, B. (2019). Adaptation across multiple landscapes: Relatedness, complexity, and the long run effects of coordination in diversified firms. Strategic Management Journal, 40(11), 1791–1821. Retrieved from https://doi.org/10.1002/smj.3060
   Web of Science ®Google Scholar
• Conboy, K., Mikalef, P., Dennehy, D., & Krogstie, J. (2020). Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda. European Journal of Operational Research, 281(3), 656–672. Retrieved from https://doi.org/10.1016/j.ejor.2019.06.051
   Web of Science ®Google Scholar
• Csaszar, F. A. (2018). A note on how nk landscapes work. Journal of Organization Design, 7(1), 15. Retrieved from https://doi.org/10.1186/s41469-018-0039-0
   Google Scholar
• Evans, D. S., & Schmalensee, R. (2017). Multi-sided platforms [Book Section]. In The New Palgrave Dictionary of Economics. (p. 1–9). Palgrave Macmillan UK. Retrieved from. https://doi.org/10.1057/978-1-349-95121-5_3069-1
   Google Scholar
• Garcia, R. (2005). Uses of agent-based modeling in innovation/new product development research. Journal of Product Innovation Management, 22(5), 380–398. Retrieved from https://doi.org/10.1111/j.1540-5885.2005.00136.x
   Web of Science ®Google Scholar
• Gawer, A. (2021). Digital platforms’ boundaries: The interplay of firm scope, platform sides, and digital interfaces. Long Range Planning, 54(5), 102045. Retrieved from https://doi.org/10.1016/j.lrp.2020.102045
   Web of Science ®Google Scholar
• Ghazawneh, A., & Henfridsson, O. (2013). Balancing platform control and external contribution in third-party development: The boundary resources model. Information Systems Journal, 23(2), 173–192. Retrieved from https://doi.org/10.1111/j.1365-2575.2012.00406.x
   Web of Science ®Google Scholar
• Guinea, A. O. d., & Raymond, L. (2020). Enabling innovation in the face of uncertainty through it ambidexterity: A fuzzy set qualitative comparative analysis of industrial service smes. International Journal of Information Management, 50, 244–260. Retrieved from https://doi.org/10.1016/j.ijinfomgt.2019.05.007
   Web of Science ®Google Scholar
• Hahn, J., & Lee, G. (2021). The complex effects of cross-domain knowledge on is development: A simulation-based theory development. MIS Quarterly, 45(4), 2023–2054. Retrieved from https://doi.org/10.25300/MISQ/2022/16292
   Web of Science ®Google Scholar
• Hamer, P. d., & Frenken, K. (2021). A network-based model of exploration and exploitation. Journal of Business Research, 129, 589–599. Retrieved from https://doi.org/10.1016/j.jbusres.2019.12.040
   Web of Science ®Google Scholar
• Ji, G., & Gunasekaran, A. (2014). Evolution of innovation and its strategies: From ecological niche models of supply chain clusters. Journal of the Operational Research Society, 65(6), 888–903. Retrieved from https://doi.org/10.1057/jors.2013.136
   Web of Science ®Google Scholar
• Kapsali, M., Bayer, S., Brailsford, S., & Bolt, T. (2022). The agency role of simulation models in model-building groups. Journal of the Operational Research Society, 73(7), 1423–1443. Retrieved from https://doi.org/10.1080/01605682.2021.1929527
   Web of Science ®Google Scholar
• Kauffman, S. A. (1993). The Origins of Order: self organization and selection in evolution. Oxford University Press.
   Google Scholar
• Lee, S. M., Olson, D. L., & Trimi, S. (2012). Co-innovation: Convergenomics, collaboration, and co-creation for organizational values. Management Decision, 50(5), 817–831. Retrieved from https://doi.org/10.1108/00251741211227528
   Web of Science ®Google Scholar
• Lenox, M. J., Rockart, S. F., & Lewin, A. Y. (2006). Interdependency, competition, and the distribution of firm and industry profits. Management Science, 52(5), 757–772. Retrieved from https://doi.org/10.1287/mnsc.1050.0495
   Web of Science ®Google Scholar
• Levinthal, D. A. (1997). Adaptation on rugged landscapes. Management Science, 43(7), 934–950. Retrieved from https://doi.org/10.1287/mnsc.43.7.934
   Web of Science ®Google Scholar
• Levinthal, D. A., & Workiewicz, M. (2018). When two bosses are better than one: Nearly decomposable systems and organizational adaptation. Organization Science, 29(2), 207–224. Retrieved from https://doi.org/10.1287/orsc.2017.1177
   Web of Science ®Google Scholar
• Miric, M., & Jeppesen, L. B. (2020). Does piracy lead to product abandonment or stimulate new product development?: Evidence from mobile platform-based developer firms. Strategic Management Journal, 41(12), 2155–2184. Retrieved from https://doi.org/10.1002/smj.3208
   Web of Science ®Google Scholar
• Mosterd, L., Sobota, V. C. M., Kaa, G. v d., Ding, A. Y., & Reuver, M. d (2021). Context dependent trade-offs around platform-to-platform openness: The case of the internet of things. Technovation, 108, 102331. Retrieved from https://doi.org/10.1016/j.technovation.2021.102331
   Web of Science ®Google Scholar
• Park, H., Kim, S., Jeong, Y., & Minshall, T. (2021). Customer entrepreneurship on digital platforms: Challenges and solutions for platform business models. Creativity and Innovation Management, 30(1), 96–115. Retrieved from https://doi.org/10.1111/caim.12404
   Web of Science ®Google Scholar
• Puranam, P., Stieglitz, N., Osman, M., & Pillutla, M. M. (2015). Modelling bounded rationality in organizations: Progress and prospects. Academy of Management Annals, 9(1), 337–392. Retrieved from https://doi.org/10.5465/19416520.2015.1024498
   Web of Science ®Google Scholar
• Rahmandad, H. (2019). Interdependence, complementarity, and ruggedness of performance landscapes. Strategy Science, 4(3), 234–249. Retrieved from https://doi.org/10.1287/stsc.2019.0090
   Web of Science ®Google Scholar
• Raveendran, M., Silvestri, L., & Gulati, R. (2020). The role of interdependence in the micro-foundations of organization design: Task, goal, and knowledge interdependence. Academy of Management Annals, 14(2), 828–868. Retrieved from https://doi.org/10.5465/annals.2018.0015
   Web of Science ®Google Scholar
• Sedera, D., Lokuge, S., Grover, V., Sarker, S., & Sarker, S. (2016). Innovating with enterprise systems and digital platforms: A contingent resource-based theory view. Information & Management, 53(3), 366–379. Retrieved from https://doi.org/10.1016/j.im.2016.01.001
   Web of Science ®Google Scholar
• Shree, D., Kumar Singh, R., Paul, J., Hao, A., & Xu, S. (2021). Digital platforms for business-to-business markets: A systematic review and future research agenda. Journal of Business Research, 137, 354–365. Retrieved from https://doi.org/10.1016/j.jbusres.2021.08.031
   Web of Science ®Google Scholar
• Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99–118. Retrieved from https://doi.org/10.2307/1884852
   Web of Science ®Google Scholar
• Terjesen, S., & Patel, P. C. (2017). In search of process innovations: The role of search depth, search breadth, and the industry environment. Journal of Management, 43(5), 1421–1446. Retrieved from https://doi.org/10.1177/0149206315575710
   Web of Science ®Google Scholar
• Uotila, J., Keil, T., & Maula, M. (2017). Supply-side network effects and the development of information technology standards. MIS Quarterly, 41(4), 1207–1226. Retrieved from https://doi.org/10.25300/MISQ/2017/41.4.09
   Web of Science ®Google Scholar
• Wang, W., Li, F., & Yi, Z. (2021). Applying a platform to expand sales. Journal of the Operational Research Society, 72(4), 837–852. Retrieved from https://doi.org/10.1080/01605682.2019.1700193
   Web of Science ®Google Scholar
• Wei, R., Wang, X., & Chang, Y. (2021). The effects of platform governance mechanisms on customer participation in supplier new product development. Journal of Business Research, 137, 475–487. Retrieved from https://doi.org/10.1016/j.jbusres.2021.08.028
   Web of Science ®Google Scholar
• Wu, J., Lao, K. F., Wan, F., & Li, J. (2019). Competing with multinational enterprises’ entry: Search strategy, environmental complexity, and survival of local firms. International Business Review, 28(4), 727–738. Retrieved from https://doi.org/10.1016/j.ibusrev.2019.02.002
   Web of Science ®Google Scholar