3,500
Views
7
CrossRef citations to date
0
Altmetric
Articles

Innovation capabilities as a mediator between big data and business model

ORCID Icon, , &

References

  • Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., and Childe, S. J. (2016). How to improve firm performance using big data analytics capability and business strategy alignment? International Journal of Production Economics, 182, 113–131.
  • Amatriain, X. (2013). Beyond data: from user information to business value through personalized recommendations and consumer science. Paper presented at Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, San Francisco, California, USA, October 27, November 01, 2013 (pp. 2201–2208).
  • Amit, R., and Zott, C. (2001). Value creation in e-business. Strategic Management Journal, 22(6-7), 493–520.
  • Baregheh, A., Rowley, J., and Sambrook, S. (2009). Towards a multidisciplinary definition of innovation. Management Decision, 47(8), 1323–1339.
  • Baskerville, R. L. (1999). Investigating information systems with action research. Communications of the Association for Information Systems: 2(19). DOI: https://doi.org/10.17705/1CAIS.00219
  • Benabdellah, A. B., Asmaa, B., Imane Z, and El Moukhtar. (2016). Big data for supply chain management: opportunities and challenges. Paper presented at IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA) 29 Nov.–2 Dec. 2016, Agadir, Morocco.
  • Benbasat, I., and Zmud, R. W. (1999). Empirical research in information systems: The practice of relevance. MIS Quarterly, 23(1), 3–16.
  • Braganza, A., Brooks, L., Nepelski, D., Ali, M., and Moro, R. (2017). Resource management in big data initiatives: Processes and dynamic capabilities. Journal of Business Research, 70, 328–337.
  • Brynjolfsson, E., Hitt, L. M., and Kim, H. H. (2011). Strength in Numbers: How does data-driven decision-making affect firm performance?” (2011). ICIS 2011 Proceedings. 13. https://aisel.aisnet.org/icis2011/proceedings/economicvalueis/13
  • Bucherer, E., and Uckelmann, D. (2011). Business Models for the Internet of Things. In: Uckelmann D., Harrison M., Michahelles F. (eds) Architecting the Internet of Things. Berlin, Heidelberg: Springer.
  • Burkhart, T. K., Julian, W., and Dirk, L. P. (2011). Analyzing the business model concept—A comprehensive classification of literature. Paper presented at Thirty Second International Conference on Information Systems, December 2–5, Shanghai China 2011.
  • Casadesus-Masanell, R., and Ricart, J. E. (2010). From strategy to business models and onto tactics. Long Range Planning, 43(2-3), 195–215.
  • Chan, H. C. (2015). Internet of Things business models. Journal of Service Science and Management, 8(4), 552–568.
  • Chen, Y. K., Jeffrey, C. M., and Abrams, C. (2011). Analytics ecosystem transformation: a force for business model innovation. Paper presented at SRII Global Conference (SRII), 2011 Annual 29 March; 2 April 2011, San Jose, CA, USA (pp.11–20).
  • Christensen, C. (2013). The innovator’s dilemma: When new technologies cause great firms to fai. Boston, Massachusetts: Harvard Business Review Press, 5th edition.
  • Dehning, B., Richardson, V. J., and Zmud, R. W. (2003). The value relevance of announcements of transformational information technology investments. MIS Quarterly, 27(4), 637–656.
  • Dyer, J., Gregersen, H., and Christensen, C. (2008). Entrepreneur behaviors, opportunity recognition, and the origins of innovative ventures. Strategic Entrepreneurship Journal, 2(4), 317–338.
  • Dyer, J., Gregersen, H., and Christensen, C. (2011). The Innovator’s DNA. Boston, Massachusetts: Harvard Business Review Press.
  • Ettlie, J. E., and Reza, E. M. (1992). Organizational integration and process innovation. Academy of Management Journal, 35(4), 795–827.
  • Furr, N., and Dyer, J. (2014). The innovator’s method. Boston, Massachusetts: Harvard Business Review Press.
  • Gupta, M., and George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064.
  • Harmaakorpi, V., and Melkas, H. (2012). Practice-based innovation. insights, applications and policy implications. Berlin, Germany: Springer.
  • Hartmann, P., Zaki, M. E., Feldmann, N., and Neely, A. D. (2016). Capturing value from big data–A taxonomy of data-driven business models used by start-up firms. International Journal of Operations & Production Management, 36(10), 1382–1406.
  • Hevner, A. R., et al. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.
  • Iansiti, M., and Levien, R. (2004). Strategy as ecology. Harvard Business Review, 82(3), 68–81.
  • Iivari, J. (2003). The IS core-VII: towards information systems as a science of meta-artifacts. Communications of the Association for Information Systems, 12(1), 568–581.
  • Jetzek, T., Avital, M., and Bjorn-Andersen, N. (2014). Data-driven innovation through open government data. Journal of Theoretical and Applied Electronic Commerce Research, 9(2), 100–120.
  • Laney, D. (2001). 3D data management: controlling data volume, velocity and variety. Meta Group Research Note, 6, 70–73.
  • Leminen, S., et al. (2012). Towards IoT ecosystems and business models. In, Internet of Things, smart spaces, and next generation networking. A. Sergey, B. Sergey, K. Yevgeni, (Eds.), St. Petersburg, Russia: Springer, pp. 15–26.
  • Lewin, K. (1947). Frontiers in group dynamics II. Channels of group life; social planning and action research. Human Relations, 1(2), 143–153.
  • Lycett, M. (2013). Datafication’: making sense of (big) data in a complex world. European Journal of Information Systems, 22(4), 381–386.
  • Manyika, J., et al. (2011). Big data: The next frontier for innovation, competition, and productivity. In J. Manyika and M. Chui, (Eds.), McKinsey Global Institute. Available at: http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation.
  • McAfee, A., and Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 61–67.
  • Mikalef, P., et al. (2017). Big data analytics capabilities: A systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 1–32.
  • Moore, J. F. (1993). Predators and prey: A new ecology of competition. Harvard Business Review, 71(3), 75–83.
  • Najjar, M. S., and Kettinger, W. J. (2013). Data monetization: Lessons from a retailer’s journey. MIS Quarterly Executive, 12(4), 213–225.
  • Osterwalder, A., and Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers, Hoboken, NJ: John Wiley & Sons.
  • Peffers, K., Tuunanen, T., Rothenberger, M. A., and Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77.
  • Porter, M. E. (1991). Towards a dynamic theory of strategy. Strategic Management Journal, 12(S2), 95–117.
  • Porter, M. E., and Millar, V. E. (1985). How information gives you competitive advantage. Harvard Business Review, 64(4): 149–160.
  • Ren, S. J.-F., et al. (2017). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, 55(17), 5011–5026.
  • Sainio, L.-M. (2005). The effects of potentially disruptive technology on business model - a case study of new technologies in ICT industry. Lappeenranta, Finland: Lappeenranta University of Technology.
  • Sandberg, B., and Aarikka-Stenroos, L. (2014). What makes it so difficult? A systematic review on barriers to radical innovation. Industrial Marketing Management, 43(8), 1293–1305.
  • Scharmer, C. O. (2001). Self-transcending knowledge: Sensing and organizing around emerging opportunities. Journal of Knowledge Management, 5(2), 137–151.
  • Schumpeter, J. A. (1942). Socialism, capitalism and democracy. United States: Harper and Brothers.
  • Sein, M., et al. (2011). Action design research. MIS Quarterly, 35(1), 37–56.
  • Shaughnessy, H. (2015). Shift: A user’s guide to the new economy, Boise, Idaho: Tru Publishing.
  • Teece, D. J. (2010). Business models, business strategy and innovation. Long Range Planning, 43(2-3), 172–194.
  • Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350.
  • Timmers, P. (1998). Business models for electronic markets. Electronic Markets, 8(2), 3–8.
  • Van’t Spijker, A. (2014). The new oil: Using innovative business models to turn data into profit. Basking Ridge, NJ: Technics Publications.
  • Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J-F., Dubey, R., and Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365.
  • Weill, P., ans Woerner, S. L. (2015). Thriving in an increasingly digital ecosystem. MIT Sloan Management Review, 56(4), 27–34.
  • Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180.
  • West, M. A., and Anderson, N. R. (1996). Innovation in top management teams. Journal of Applied Psychology, 81(6), 680–693.
  • Westerlund, M., Leminen, S., and Rajahonka, M. (2014). Designing business models for the Internet of Things. Technology Innovation Management Review, 4(7), 5–13.
  • Wixom, B. H., Yen, B., and Relich, M. (2013). Maximizing value from business analytics. MIS Quarterly Executive, 12(2), 111–123.
  • Ylijoki, O., and Porras, J. (2016a). Conceptualizing big data: Analysis of case studies. Intelligent Systems in Accounting, Finance and Management, 23(4), 295–310.
  • Ylijoki, O., and Porras, J. (2016b). Perspectives to definition of big data: A mapping study and discussion. Journal of Innovation Management, 4(1), 69–91.
  • Zott, C., Amit, R., and Massa, L. (2011). The business model: Recent developments and future research. Journal of Management, 37(4), 1019–1042.