參考文獻 |
Acharya, A., Singh, S. K., Pereira, V., and Singh, P. (2018). Big data, knowledge co-creation and decision making in fashion industry. International Journal of Information Management, 42, 90–101.
Anand, A., Fosso, W. S., and Sharma, R. (2013). The effects of firm IT capabilities on firm performance: The mediating effects of process improvement. ACIS 2013 Proceedings, 17.
Aringhieri, R., Carello, G., and Morale, D. (2016). Supporting decision making to improve the performance of an Italian emergency medical service. Annals of Operations Research, 236(1), 131–148.
Aydiner, A. S., Tatoglu, E., Bayraktar, E., and Zaim, S. (2019). Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance. International Journal of Information Management, 47, 168–182.
Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., and Delen, D. (2019). Business analytics and firm performance: The mediating role of business process performance. Journal of Business Research, 96, 228–237.
Baars, H., and Kemper, H. G. (2008). Management support with structured and unstructured data - an integrated Business intelligence framework. Information Systems Management, 25(2), 132–148.
Banker, R. D., Bardhan, I. R., Chang, H., and Lin, S. (2006). Plant information systems, manufacturing capabilities, and plant performance. MIS Quarterly, 30(2), 315–337.
Baum, J. R., and Wally, S. (2003). Strategic decision speed and firm performance. Strategic Management Journal, 24(11), 1107–1129.
Bernhard, W., Peter, B., Zoltan, M. P., and Maria-Luise, O. (2006). The impact of ERP systems on firm and business process performance. Journal of Enterprise Information Management, 19(1), 13–29.
Bharadwaj, A. S. A. (2000). Resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24(1), 169-196.
Bhatt, G. D., and Grover, V. (2005). Types of information technology capabilities and their role in competitive advantage: An empirical research. Journal of Management Information Systems, 22(2), 253–277.
Bisogno, S., Calabrese, A., Gastaldi, M., and Ghiron, N. L. (2016). Combining modelling and simulation approaches. How to measure performance of business processes? Business Process Management Journal, 22(1), 56–74.
Boar, B. (1996). Cost effective strategies for client/server systems. New York: John Wiley & Sons.
Boynton, A., Zmud, R. W., and Jacobs, G. C. (1994). The influence of IT management practice on IT use in large organizations. MIS Quarterly, 18(3), 299–318.
Bradford, M., and Florin, J. (2003). Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems. International Journal of Accounting Information Systems, 4(3), 205–225.
Byrd, T. A., and Turner, D. E. (2000). Measuring the flexibility of information technology infrastructure: Exploratory analysis of a construct. Journal of Management Information Systems, 17(1), 167–208.
Cepeda, C. G., Cegarra, N. J. G., and Jimenez, J. D. (2012). The effects of absorptive capacity on innovativeness: Context and information systems capability as catalysts. British Journal of Management, 23(1), 110–129.
Chen, H. C., Chiang, R. H. L., and Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.
Chin, W. W. (1998). The partial least squares approach for structural equation modeling, in modern methods for business research. George A. Marcoulides (ed.), Lawrence Erlbaum Associates, New York, pp. 295–336.
Chin, W. W., Marcolin, B. L., and Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14 (2), pp. 189–217.
Clark, T. D., and Jones, M. C. (2008). An experimental analysis of the dynamic structure and behavior of managerial support systems. System Dynamics Review, 24(2), pp. 215–245.
Clark, T. D., Jones, M. C., and Armstrong, C. P. (2007). The dynamic structure of management support systems: Theory development, research focus, and direction. MIS Quarterly, 31(3), pp. 579–615.
Conway, J. M., and Lance, C. E. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business and Psychology, 25, 325–334.
Curtis, M. B., and Joshi, K. (1998). Lessons learned from the implementation of a data warehouse. Journal of Data Warehousing, 3(2), pp. 12–18.
Davenport, T. H., and Harris, J. G. (2007). Competing on analytics: The new science of winning. Harvard Business Press.
Davenport, T. H. (2010). Business intelligence and organizational decisions. International Journal of Business Intelligence Research, 1(1), 1–12.
Dehning, B., and Richardson, V. J. (2002). Returns on investments in information technology: A research synthesis. Journal of Information Systems, 16(1), 7–30.
Dinter, B. (2013). Success factors for information logistics strategy – An empirical investigation. Decision Support Systems, 54(3), pp. 1207–1218.
Elbashir, M. Z., Collier, P. A., and Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135–153.
Evelson, B., McNabb, K., Karel, R., and Barnett, J. (2007). It’s time to reinvent your BI strategy, Retrieved on February 2012 from Forrester Research, http://www.forrester.com/Research/Document/Excerpt/0,7211,43259,00.html.
Gartner, I. (2013). Gartner predicts business intelligence and analytics will remain top focus for CIOs through 2017. [Press release]. Retrieved from https://www.gartner.com/newsroom/id/2637615.
Gartner, I. (2016). Gartner says worldwide business intelligence and analytics market to reach $16.9 Billion in 2016, http://www.gartner.com/newsroom/id/3198917.
Hattie, J. (1985). Methodology review: Assessing unidimensionality of tests and items. Applied Psychological Measurement, 9, 139–164.
Helfat C., Finkelstein S., Mitchell W., Peteraf M. A., Singh H, Teece D. J., and Winter S. G. (2007). Dynamic capabilities: Understanding strategic change in organizations. Blackwell: Oxford, U.K.
Hou, C. K. (2012). Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: an empirical study of Taiwan′s electronics industry. International Journal of Information Management, 32(6), 560–573.
Isik, O., Jones, M. C., and Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information and Management, 50(1), pp. 13–23.
James, D. W., and Mark, S. P. (1996). Does decision process matter? A study of strategic decision-making effectiveness. The Academy of Management Journal, 39(2), 368–396.
Jones, G. K., Lanctot, A., and Teegen, H. J. (2001). Determinant and performance impact of external technology acquisition. Journal of Business Venturing, 16, 255–283.
Kaltoft, M., Cunich, M., Salkeld, G., and Dowie, J. (2014). Assessing decision quality in patientcentred care requires a preference-sensitive measure. The Journal of Health Services Research & Policy, 19(2), 110–117.
Karimi, J., Somers, T. M., and Gupta, Y. P. (2001). Impact of information technology management practices on customer service. Journal of Management Information Systems, 17(4), 125–158.
Kim, G., Shin, B., Kim, K. K., and Lee, H. G. (2011). IT capabilities, process-oriented dynamic capabilities, and firm financial performance. Journal of the Association for Information Systems, 12(7), 487.
Kiron, D., Shockley, R., Kruschwitz, N., Finch, G., and Haydock, M. (2011). Analytics: The widening divide. MIT Sloan Management Review, (Nov), pp. 1–22.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10.
Kowalczyk, M., Buxmann, P., and Besier, J. (2013). Investigating business intelligence and analytics from a decision process perspective: A structured literature review. Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
Larson, D., and Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management, 36(5), 700–710.
Laursen, G. H., and Thorlund, J. (2017). Business analytics for managers: Taking business intelligence beyond reporting(2nd ed.). Hoboken, NJ, USA: John Wiley & Sons.
Lavalle, S., Lesser, E., Shockley, R., Hopkins, M. S., and Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 52(2), 21–32.
Lee, D. M. S., Trauth, E., and Farwell, D. (1995). Critical skills and knowledge requirements of IS professionals: A joint academic/industry investigation. MIS Quarterly, 19(3), 313–340.
Lowry, P. B., and Gaskin, J. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, (57:2), pp. 123–146.
Luo, J., Fan, M., and Zhang, H. (2012). Information technology and organizational capabilities: A longitudinal study of the apparel industry. Decision Support Systems, 53(1), 186–194.
Marcoulides, G.A., and Saunders, C.(2006). PLS: a silver bullet? MIS Quarterly, 30(2), pp. iii–x.
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D., and Barton, D. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–68.
McKenna, J. P. (2011). Moving toward Real-Time Data Warehousing. Business Intelligence Journal, 16(3), 14-19.
Melville, N., Kraemer, K., and Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322.
Mithas, S., Lee, M. R., Earley, S., Murugesan, S., and Djavanshir, R. (2013). Leveraging big data and Business Analytics [guest editors’ introduction]. IT Professional, 15(6), 18–20.
Najjar, M. S. and Kettinger, W. J. (2013). Data Montetization: Lessons From a Retailer’s Journey. MIS Quarterly Executive, 12(4), pp. 213–225.
Nevo, S., and Wade, M. (2011). Firm-level benefits of IT-enabled resources: a conceptual extension and an empirical assessment. Journal of Strategic Information Systems, 2, 403–418.
Peppard, J. (2007). The conundrum of IT management. European Journal of Information Systems, 16(4), 336–345.
Pérez-López, S., and Alegre, J. (2012). Information technology competency, knowledge processes and firm performance. Industrial Management & Data Systems, 112(4), 644–662.
Petter, S., DeLone, W., and McLean, E. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), pp. 7–61.
Podsakoff, P. M., MacKenzie, S. B., Lee, J., and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879–903.
Popovič, A., Hackney, R., Coelho, P. S., and Jaklič, J. (2012). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), pp. 729–739.
Porter, M. E. (1996). What is strategy? Harvard Business Review (74:6), pp. 61–78.
Purvis, R. L., Sambamurthy, V., and Zmud, R. W. (2001). The Assimilation of knowledge platforms in organizations: An empirical investigation. Organization Science, 12(2), 117–135.
Rahimi, F., Møller, C., and Hvam, L. (2016). Business process management and IT management: The missing integration. International Journal of Information Management, 36(1), 142–154.
Rai, A., Patnayakuni, R., and Seth, N. (2006). Firm perfiormance impacts of digitally enabled supply chain integration capabilities. MIS Quarterly, (30:2), pp. 225–246.
Ravichandran, T., and Lertwongsatien, C. (2005). Effect of information systems resources and capabilities on firm performance: A resource-based perspective. Journal of Management Information Systems, 21(4), 237–276.
Ryan, S. D., and Gates, M. S. (2004). Inclusion of social subsystem issues in IT investment decisions: An empirical assessment. Information Resources Management Journal, 17(1), 1–18.
Ryan, S. D., and Harrison, D. A. (2000). Considering social subsystem costs and benefits in information technology investment decisions: A view from the field on anticipated payoffs. Journal of Management Information Systems, 16(4), 11–40.
Ryan, S. D., Harrison, D. A., and Schkade, L. L. (2002). Information-technology investment decisions: When do costs and benefits in the social subsystem matter? Journal of Management Information Systems, 19(2), 85–127.
Sambamurthy, V., and Zmud, R. W. (1997). At the heart of success: Organization-wide management competencies in C. Sauer and P. W. Yetton (eds.), Steps to the future: Fresh thinking on the management of IT-based organizational transformation. San Francisco: Jossey-Bass, 143–163.
Santhanam, R., and Hartono, E. (2003). Issues in linking information technology capability to firm performance. MIS Quarterly, 27(1), 125–153.
Seddon, P. B., Constantinidis, D., Tamm, T., and Dod, H. (2017). How does business analytics contribute to business value? Information Systems Journal, 27(3), pp. 237–269.
Shamim, S., Zeng, J., Shariq, S. M., and Khan, Z. (2018). Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view. Information & Management, 56(6).
Shehzad, R., Khan, M., and Naeem, M. (2013). Integrating knowledge management with business intelligence processes for enhanced organizational learning. International Journal of Software Engineering and Its Applications, 7(2), 83–91.
Shollo, A. and Kautz, K. (2010). Towards an understanding of business intelligence. In the proceedings of the 21st Australian conference in Information Systems (ACIS), Brisbane.
Subramani, M. (2004). How do suppliers benefit from information technology use in supply chain relationships? MIS Quarterly, 28(1), 45–73.
Tamm, T., Seddon, P. B., and Shanks, G. (2013). Pathways to Value from Business Analytics. in Proceedings of the Thirty-Fourth International Conference on Information Systems, Milan, Italy, December, pp. 1–16.
Teece, D. J. (2000). Strategies for managing knowledge assets: the role of firm structure and industrial context. Long Range Plann, 33, 35–54.
Tippins, M. J., and Sohi, R. S. (2003). IT competency and firm performance: Is organizational learning a missing link? Strategic Management Journal, 24(8), 745–761.
Torres, R., Sidorova, A., and Jones, M. C. (2018). Enabling firm performance through business intelligence and analytics: a dynamic capabilities perspective. Information & Management, 55(7), 822–839.
Van, D. Z., J., and De, J. B. (1999). Alignment is not enough: integrating business and information technology management with the balanced business scorecard. Journal of Management Information Systems, 16, 137–156.
Visinescu, L. L., Jones, M.C., and Sidorova, A. (2017). Improving decision quality: the role of business intelligence. Journal of Computer Information Systems, 57(1), 58–66.
Wade, M. and Hulland, J. (2004). The resource-based view and information systems research: review, extension, and suggestions for future research. MIS Quarterly, 28(1), 107–142.
Wang, H. C. (2014). Distinguishing the adoption of business intelligence systems from their implementation: The role of managers’ personality profiles. Behaviour and Information Technology, 33(10), 1082–1092.
Wang, Y., Shi, S., Nevo, S., Li, S., and Chen, Y. (2015). The interaction effect of IT assets and IT management on firm performance: A systems perspective. International Journal of Information Management, 35(5), 580–593.
Watson, H. J., Haines, M., and Loiacono, E. T. (1998). The approval of data warehousing projects: Findings from ten case studies. Journal of Data Warehousing, 3(3), pp. 29–38.
Weill, P., and Aral, S., (2003). Managing the IT portfolio (update circa 2003). MIT Sloan Manag, Rev, (Res. Brief.) III (1C).
Weill, P., Subramani, M., and Broadbent, M. (2002). IT infrastructure for strategic agility. Sloan Management Review, 44(1), 57–65.
Wieder, B., and Ossimitz, M. L. (2015). The impact of business intelligence on the quality of decision making – a mediation model. Procedia Computer Science, 64, 1163–1171.
Wixom, B. H., and Watson, H. J. (2001). An empirical investigation of the factors affecting data warehousing success. MIS Quarterly, 25(1), pp. 17–41.
Wixom, B. H., Watson, H. J., and Werner, T. (2011). Developing an enterprise business intelligence capability: The norfolk southern journey. MIS Quarterly Executive, 10(2).
Wixom, B. H., Watson, H. J., Reynolds, A. M., and Hoffer, J. A. (2008). Continental airlines continues to soar with business intelligence. Information Systems Management, 25(2), pp. 102–112.
Yeoh, W., and Koronios, A. (2010). Critical success factors for business intelligence systems. Journal of Computer Information Systems, 50(3), 23–32. |