Commenced in January 2007
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Edition: International
Paper Count: 33093
Diffusion and Impact of Business Analytics: A Conceptual Framework
Authors: Ramakrishnan Ramanathan, Yanqing Duan, Guangming Cao, Elaine Philpott
Abstract:
We discuss a theoretical conceptual framework to help understand how the new business analytics technologies have diffused in firms. We draw on three theoretical perspectives for this purpose. They are innovation diffusion theory, IT Business Value and the technology-organization-environment theory. We develop a conceptual framework that helps understand the interlinkages among factors affecting diffusion of business analytics and its impact on performance.Keywords: Innovation diffusion, IT-Business Value, Technology-Organization-Environment, Business Analytics, Business performance
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056096
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[1] Swaminathan, J.M. and S.R. Tayur, 2003. Models for supply chain in ebusiness. Management Science, 49: 1387-1406.
[2] Frohlich, M. and Westbrook, R. (2002). Demand Chain Management in Manufacturing and Services: Web-Based Integration, Drivers and Performance. Journal of Operations Management, 20(6), 729-745.
[3] Kohli, R., and Grover, V. 2008. "Business Value of IT: An Essay on Expanding Research Directions to Keep up with the Times", Journal of the Association for Information Systems (9:1), pp. 23-39.
[4] Melville, N., Kraemer, K. and Gurbaxani, V. (2004). Review: information technology and organizational performance: an integrative model of IT business value. MIS Quarterly, 28, pp. 283-322.
[5] Mukhopadhyay, T., Kekre, S., and Kalathur, S. (1995). "Business value of Information technology: A study of Electronic Data Interchange", MIS Quarterly (19:2), pp. 137-156.
[6] Brynjolfsson, E 1993, ÔÇÿThe productivity paradox of information technology-, Communications of ACM, vol. 36, no. 12, pp. 66-77.
[7] Brynjolfsson, E & Hitt, L 1996, ÔÇÿParadox lost? Firm-level evidence on the returns to information systems spending-, Management Science, vol. 42, no. 4, pp. 541-558.
[8] Shin, N 2006, ÔÇÿThe impact of information technology on the financial performance of diversified firms-, Decision Support Systems, vol. 41, pp. 698-707.
[9] Johnson, J. L. (1999). Strategic Integration in Industrial Distribution Channel: Managing the Inter-firm Relationship as a Strategic Asset, Journal of the Academy of Marketing Science, 27(1): 4-18.
[10] Krause, D.R., Handfield, R.B. and Scannell, T.V., 1998. An empirical investigation of supplier development: reactive and strategic processes. Journal of Operations Management, 17 (1), 39-58.
[11] Devaraj, S., Krajewski, L. and Wei, J. C. (2007), "Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain", Journal of Operations Management, 25, 1199-1216.
[12] Burca, S & Fynes, B & Brannick, T 2006, ÔÇÿThe moderating effects of information technology sophistication on services practice and performance-, International Journal of Operations & Production Management, vol. 26, no. 11, pp. 1240-1254.
[13] Dehning, B., Richardson, V. J. and Zmud, R. W. (2007) The financial performance effects of IT-based supply chain management systems in manufacturing firms. Journal of Operations Management, 25(4), 806- 824.
[14] Cachon, G.P., Fisher, M., (2000), "Supply chain management and the value of shared information, Management Science, 46 (8), 1032-1048.
[15] Kim, D., Cavusgil, S.T. and Calantone, R.J. (2006), "Information system innovations and supply chain management: channel relationships and firm performance", Journal of the Academy of Marketing Science, Vol. 34, pp. 40-54.
[16] Ashurst, C., Freer, A., Ekdahl, J. and Gibbons, C. (2013), Exploring ITenabled innovation: A new paradigm?, International Journal of Information Management (in press).
[17] Davenport, T. (2006), Competing on analytics, Harvard Business Review 84 (5), 150-151.
[18] Emblemsvåg, J. (2005), Business analytics: getting behind the numbers, International Journal of Productivity and Performance Management 54 (1), 47-58.
[19] Ranjan, J. (2008), Business justification with business intelligence, VINE: The journal of information and knowledge management systems 38 (4), 461-475.
[20] Sahay, B.S., Ranjan, J. (2008), Real time business intelligence in supply chain analytics, Information Management & Computer Security 16 (1), 28-48.
[21] Rogers, E. M. (1995). Diffusion of innovations. (4th, Ed.) New York: Free Press.
[22] Tornatzky, L. G., & Fleischer, M. (1990). The process of technological innovation. Lexington, MA: Lexington Books.
[23] Wang, Y. M., Wang, Y. S., & Yang, Y. F. (2010). Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting & Social Change, 77, 803-815.
[24] Brynjolfsson, E. and Brown, P. (2005). "Vii pillars of IT productivity", Optimize (4:5), pp. 26-35.
[25] Brynjolfsson, E. (2003). "The IT productivity gap", Optimize, 26-43.
[26] Zhu, K., S. Dong, S. Xu, and K. Kraemer (2006), "Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies, European Journal of Information Systems, 15 (6), p.601-616.
[27] Kearns, G. (2005). An electronic commerce strategic typology: insights from case studies. Information & Management 42(7), 1023-1036.
[28] Mishra A, Konana P and Barua A (2007) Antecedents and Consequences of Internet Use in Procurement: An Empirical Investigation of U.S. Manufacturing Firms. Information Systems Research 18(1), 103-122.
[29] Radhakrishnan, A., Zu, X. and Grover, V. (2008). A process-oriented perspective on differential business value creation by information technology: An empirical investigation. Omega, 36(6), 1105-1125.
[30] Andersen, T. and Segars, A. (2001) The impact of IT on decision structure and firm performance: Evidence from the textile and apparel industry. Information & Management 39(2), 85-100.
[31] Chen, C. (2007) Information Technology, Organizational Structure, and New Product Development - The Mediating Effect of Cross-Functional Team Interaction. IEEE Transactions on Engineering Management 54(4), 687-698.
[32] Bradley, R., Pridmore, J., and Byrd, T. (2006). "Information Systems Success in the Context of Different Corporate Cultural Types: An Empirical Investigation", Journal of Management Information Systems (23:2), pp. 267-294.
[33] Ifinedo, P. (2007). Interactions between organizational size, culture, and structure and some it factors in the context of ERP success assessment: an exploratory investigation", The Journal of Computer Information Systems (47:4), pp. 28-44.
[34] Wade, M. and Hulland, J. (2004). Review: The resource-based view and information system research: Review, extension, and suggestion for future research. MIS Quarterly 28(1), 107-142.
[35] Cao, G. (2010) A four-dimensional view of IT business value, Systems Research and Behavioral Science, 27(3): 267-284.
[36] Tanriverdi, H. (2005). Information technology relatedness, knowledge management capability, and performance of multibusiness firms. MIS Quarterly 29(2) 311-334.
[37] Albadvi, A., Keramati, A., and Razmi, J. (2007). Assessing the impact of information technology on firm performance considering the role of intervening variables: organizational infrastructures and business processes reengineering. International Journal of Production Research 45(12) 2697-2734.
[38] Bharadwaj, S., Bharadwaj, A., and Bendoly, E. (2007). The Performance Effects of Complementarities Between Information Systems, Marketing, Manufacturing, and Supply Chain Processes. Information Systems Research 18(4) 437-453,471.