References
Abbasi, A., Sarker, S., & Chiang, R. H. (2016). Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2), 1- Abraham, R., Schneider, J., & vom Brocke, J. (2019). Data governance: A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49(2), 424-438. Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136. Aljukhadar, M., Senecal, S., & Kelley, B. (2019). Artificial intelligence in marketing: A review and research agenda. Journal of Business Research, 103(1), 37-53. Argote, L., & Miron-Spektor, E. (2011). Organizational learning: From experience to knowledge. Organization Science, 22(5), 1123-1137. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. Bernstein, P. A., & Haas, L. M. (2008). Information integration in the enterprise. Communications of the ACM, 51(9), 72-79. Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662-679. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188. Chen, L., & Siau, K. (2012). Effect of business intelligence and IT infrastructure flexibility on organizational agility. In Proceedings of the International Conference on Information Systems (ICIS) (pp. 11-14). Choo, C. W. (2013). Information culture and organizational effectiveness. International Journal of Information Management, 33(5), 775-779. Constantiou, I. D., & Kallinikos, J. (2015). New games, new rules: Big data and the changing context of strategy. Journal of Information Technology, 30(1), 44-57. Davenport, T. H. (2006). Competing on analytics. Harvard Business Review, 84(1), 98-107. Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91(12), 64-72. Davenport, T. H., & Harris, J. G. (2017). Competing on analytics: The new science of winning. Harvard Business Press. Davenport, T. H., & Patil, D. J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(10), 70-76. Davenport, T. H., Barth, P., & Bean, R. (2012). How 'big data' is different. MIT Sloan Management Review, 54(1), 22-24. De Long, D. W., & Fahey, L. (2000). Diagnosing cultural barriers to knowledge management. Academy of Management Executive, 14(4), 113-127. Dhar, V. (2013). Data science and prediction. Communications of the ACM, 56(12), 64-73. D'Ignazio, C., & Bhargava, R. (2016). DataBasic: Design principles, tools and activities for data literacy learners. The Journal of Community Informatics, 12(3), 83-107. Ehrlinger, L., & Wöß, W. (2016). Towards a definition of knowledge graphs. SEMANTiCS, 48(1- 4), 1-4. Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10?11), 1105-1121 Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2017). How 'big data' can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165(2), 234-246. Galbraith, J. R. (1974). Organization design: An information processing view. Interfaces, 4(3), 28- Grant, R. M. (1996). Toward a knowledge?based theory of the firm. Strategic Management Journal, 17(S2), 109-122. Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of Management Information Systems, 35(2), 388-423. Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. Halevy, A. Y., Ashish, N., Bitton, D., Carey, M., Draper, D., Pollock, J., Rosenthal, A., & Sikka, V. (2006). Enterprise information integration: Successes, challenges and controversies. In Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data (pp. 778-787). ACM. Hemp, P. (2009). Death by information overload. Harvard Business Review, 87(9), 82-89. Janssen, M., Konopnicki, D., Snowdon, J. L., & Ojo, A. (2017). Driving public sector innovation using big and open linked data (BOLD). Information Systems Frontiers, 19(2), 189-195. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. Khatri, V., & Brown, C. V. (2010). Designing data governance. Communications of the ACM, 53(1), 148-152. Leonardi, P. M., & Barley, S. R. (2010). What's under construction here? Social action, materiality, and power in constructivist studies of technology and organizing. Academy of Management Annals, 4(1), 1-51. Leonardi, P. M., & Treem, J. W. (2012). Knowledge management technology as a stage for strategic self-presentation: Implications for knowledge sharing in organizations. Information and Organization, 22(1), 37-59. Mantelero, A. (2013). The EU proposal for a general data protection regulation and the roots of the 'right to be forgotten'. Computer Law & Security Review, 29(3), 229-235. March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87. Martin, K. E. (2015). Ethical issues in the big data industry. MIS Quarterly Executive, 14(2), 67- Mathis, C. (2017). Data lakes. Datenbank-Spektrum, 17(3), 289-293. McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60-68. Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: A systematic literature review and research agenda. Information & Management, 55(1), 103- Newell, S., & Marabelli, M. (2015). Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification'. The Journal of Strategic Information Systems, 24(1), 3-14. Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press. Ocasio, W. (1997). Towards an attention-based view of the firm. Strategic Management Journal, 18(1), 187-206. Richards, N. M., & King, J. H. (2014). Big data ethics. Wake Forest Law Review, 49(2), 393-432. Sharma, R., Mithas, S., & Kankanhalli, A. (2014). Transforming decision-making processes: A research agenda for understanding the impact of business analytics on organisations. European Journal of Information Systems, 23(4), 433-441. Simon, H. A. (1972). Theories of bounded rationality. Decision and Organization, 1(1), 161-176. Tallon, P. P., Ramirez, R. V., & Short, J. E. (2014). The information artifact in IT governance: Toward a theory of information governance. Journal of Management Information Systems, 30(3), 141-178. Vidgen, R., Shaw, S., & Grant, D. B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), 626-639. Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3-13. Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9), 96-99. Weber, K., Otto, B., & Österle, H. (2009). One size does not fit all—A contingency approach to data governance. Journal of Data and Information Quality, 1(1), 1-27.
