Journal of Information Technology Applications and Management

  • 제24권3호
  • /
  • Pages.1-21
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  • 2017
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  • 1598-6284(pISSN)
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  • 2508-1209(eISSN)
한국데이터전략학회 (Korea Data Strategy Society)
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How User's Participation in Feasibility Study Enhances Use of Business Intelligence Systems

  • Kim, Nam Gyu (Business School of Chung-Ang University) ;
  • Kim, Sung Kun (information systems at Business School of Chung-Ang University)
  • 투고 : 2017.07.20
  • 심사 : 2017.08.23
  • 발행 : 2017.09.30
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초록

Business Intelligence (BI) system is a strategic tool that presents an analytical perspective about business and external environments. Even though its strategic value was well known, users often avoid using it or adopt it ceremonially. In fact, over 50 per cent of BI projects worldwide are reported to end in failure. Such an unexpectedly lower success rate has been a key issue in BI studies. In order to enhance a proper use of information systems, MIS field provided a number of theoretical constructs. One example is Goodhue & Thompson's Task-Technology Fit (TTF). In addition, internalization, the degree to which people make their own effort to modify behavior, was recently suggested as another important determinant of use. Though in MIS community both TTF and internalization proved to be a key determinant of system use, there has been not much study aiming to discover antecedents influencing these constructs. In this study we assert that user participation should be highlighted in BI projects. Especially, we emphasize user participation at the phase of feasibility study that is mainly conducted to determine whether a BI system is essentially necessary and practicable. Our research model employs participative feasibility study as a major antecedent for TTF and internalization that consequently will lead to user satisfaction and actual use. This model was empirically tested on 121 BI system users. The result shows that user participation in feasibility study is positively associated with TTF and internalization, each being related to user satisfaction and system use. It implies that, if an organization has BI users get involved in strategic feasibility study phase, the BI system would turn out to fit users' tasks and, furthermore, users would put more efforts spontaneously in order to use it properly.

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참고문헌

  1. Accenture, "Big Success with Big Data: Executive Summary", 2014, https://www. accenture.com/hu-en/-/media/Accenture/ Conversion-Assets/DotCom/Documents/ Global/PDF/Industries_14/Accenture-Big- Data-POV.pdf.
  2. Adams, C. R., "How management users view information systems", Decision Sciences, Vol. 6, No. 2, 1975, pp. 337-345. https://doi.org/10.1111/j.1540-5915.1975.tb01025.x
  3. Alter, S., "Development patterns for decision support systems", MIS Quarterly, Vol. 2, No. 3, 1978, pp. 33-42. https://doi.org/10.2307/249176
  4. Anandarajan, M., Anandarajan, A., and Srinivasan, C. A.(Eds.), Business intelligence techniques: a perspective from accounting and finance, Springer Science & Business Media, 2012.
  5. Bagozzi, R. P., "The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift", Journal of the Association for Information Systems, Vol. 8, No. 4, 2007, pp. 244-254. https://doi.org/10.17705/1jais.00122
  6. Benbasat, I. and Wang, W., "Trust in and adoption of online recommendation agents", Journal of the Association for Information Systems, Vol. 6, No. 3, 2005, pp. 72-101. https://doi.org/10.17705/1jais.00065
  7. Berger, P. L. and Luckmann, T., The Social Construction of Reality: A Treatise in the Sociology of Knowledge, Anchor books, 1967.
  8. Chang, Y. W., Hsu, P. Y., and Shiau, W. L., "An empirical study of managers' usage intention in BI", Cognition, Technology & Work, Vol. 16, No. 2, 2014, pp. 247-258. https://doi.org/10.1007/s10111-013-0261-z
  9. Chang, Y. W., Hsu, P. Y., and Wu, Z. Y., "Exploring managers' intention to use business intelligence: the role of motivations", Behaviour & Information Technology, Vol. 34, No. 3, 2015, pp. 273-285. https://doi.org/10.1080/0144929X.2014.968208
  10. Chaudhary, S., "Management factors for strategic BI success", Business Intelligence in Digital Economy, Opportunities, Limitations and Risks, 2004, pp. 191-206.
  11. Chaudhary, S., "Management factors for strategic BI success", In Raisinghani, M. (ed), Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks, IGI Global, 2004, pp. 191-206.
  12. Chaudhuri, S., Dayal, U., and Narasayya, V., "An overview of business intelligence technology", Communications of the ACM, Vol. 54, No. 8, 2011, pp. 88-98. https://doi.org/10.1145/1978542.1978562
  13. Chen, H., Chiang, R. H., and Storey, V. C., "Business Intelligence and Analytics: From Big Data to Big impact", MIS Quarterly, Vol. 36, No. 4, 2012, pp. 1165-1188.
  14. Chen, J. and Wang, E., "Internalization in Technology Innovation: A Case of CRM Adoption", Proceedings of the 39th Hawaii International Conference on Systems Sciences, 2006.
  15. Clark, T. D., Jones, M. C., and Armstrong, C. P., "The dynamic structure of management support systems: theory development, research focus, and direction", MIS Quarterly, Vol. 31, No. 3, 2007, pp. 579-615. https://doi.org/10.2307/25148808
  16. DeLone, W. H. and McLean, E. R., "Information systems success: The quest for the dependent variable", Information Systems Research, Vol. 3, No. 1, 1992, pp. 60-95. https://doi.org/10.1287/isre.3.1.60
  17. Ehn, P. and Sandberg, A., "Systems development: Critique of ideology and the division of labor in the computer field", In Sandberg, A.(ed), Computers Dividing Man and Work, Swedish Center for Working Life, 1979, pp. 34-46.
  18. Fishbein, M. and Ajzen, I., Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley, 1975.
  19. Foshay, N., Yeoh, W., Boo, Y. L., Ong, K. L., and Mattie, D., "A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness", Australian, Journal of Information Systems, Vol. 19, 2015, pp. 37-54.
  20. Gartner, "Key issues for analytics, business intelligence and performance management", Gartner Research, 2011, https://www.gartner.com/doc/1598717/key-issues-analyticsbusiness-intelligence, 2011.
  21. Ginzberg, M., "A study of the implementation process", TIMS Studies in the Management Sciences, Vol. 13, 1979, pp. 85-102.
  22. Gonzales, R., Wareham, J., and Serida, J., "Measuring the Impact of Data Warehouse and Business Intelligence on Enterprise Performance in Peru: A Developing Country", Journal of Global Information Technology Management, Vol. 18, No. 3, 2015, pp. 162-187. https://doi.org/10.1080/1097198X.2015.1070616
  23. Goodhue, D. L. and Thompson, R. L., "Tasktechnology fit and individual performance", MIS Quarterly, Vol. 19, No. 2, 1995, pp. 213-236. https://doi.org/10.2307/249689
  24. Grover, V. and Segars, A. H., "An empirical evaluation of stages of strategic information systems planning: patterns of process design and effectiveness", Information & Management, Vol. 42, No. 5, 2005, pp. 761-779. https://doi.org/10.1016/j.im.2004.08.002
  25. Heedberg, B., "Computer systems to support industrial democracy", In Mumford, E. and Sackman, H. (eds), Human Choice and Computers, North-Holland, 1975.
  26. Hirschheim, R. A., "Assessing participative systems design: some conclusions from an exploratory study", Information & Management, Vol. 6, No. 6, 1983, pp. 317-327. https://doi.org/10.1016/0378-7206(83)90040-X
  27. Hirschheim, R. A., "User experience with and assessment of participative systems design", MIS Quarterly, Vol. 9, No. 4, 1985, pp. 295-304. https://doi.org/10.2307/249230
  28. Hou, C. K., "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, Vol. 32, No. 6, 2012, pp. 560-573. https://doi.org/10.1016/j.ijinfomgt.2012.03.001
  29. Howson, C., Successful business intelligence: Secrets to making BI a killer application, New York: McGraw-Hill, 2008.
  30. Hwang, M. I. and Thorn, R. G., "The effect of user engagement on system success: a meta-analytical integration of research findings", Information & Management, Vol. 35, No. 4, 1999, pp. 229-236. https://doi.org/10.1016/S0378-7206(98)00092-5
  31. IDC, "Big Data and Analytics Core to Nex- Gen Manufacturing", 2013, http://bigdata. profileq.net/wp-content/uploads/2014/04/ BigData_analytics2.jpg.
  32. Ives, B. and Olson, M. H., "User involvement and MIS success: A review of research", Management Science, Vol. 30, No. 5, 1984, pp. 586-603. https://doi.org/10.1287/mnsc.30.5.586
  33. Joshi, K. D., Sarker, S., and Sarker, S., "Knowledge transfer within information systems development teams: Examining the role of knowledge source attributes", Decision Support Systems, Vol. 43, No. 2, 2007, pp. 322-335. https://doi.org/10.1016/j.dss.2006.10.003
  34. Jourdan, Z., Rainer, R. K., and Marshall, T. E., "Business intelligence: An analysis of the literature", Information Systems Management, Vol. 25, No. 2, 2008, pp. 121-131. https://doi.org/10.1080/10580530801941512
  35. Kelman, H. C., "Compliance, identification, and internalization: Three processes of attitude change", Journal of Conflict Resolution, 1958, pp. 51-60.
  36. Kendall, K. E., Kendall, J. E., and Wasson, C. S., Systems analysis and design, Prentice Hall, 2014.
  37. Kim, S. K., "A Mediating Effect of Internalization on Technology Adoption", Journal of Information Technology Applications & Management, Vol. 23, No. 3, 2016, pp. 35-47. https://doi.org/10.21219/JITAM.2016.23.3.035
  38. King, W. R. and Rodriguez, J. I., "Note-participative design of strategic decision support systems : an empirical assessment", Management Science, Vol. 27, No. 6, 1981, pp. 717-726. https://doi.org/10.1287/mnsc.27.6.717
  39. King, W. R., "How effective is your information systems planning?", Long Range Planning, Vol. 21, No. 5, 1988, pp. 103-112. https://doi.org/10.1016/0024-6301(88)90111-2
  40. Kostova, T. and Roth, K., "Adoption of an Organizational Practice By Subsidiaries of Multinational Corporations: Institutional and Relational Effects", Academy of Management Journal, Vol. 45, No. 1, 2002, pp. 215-233. https://doi.org/10.2307/3069293
  41. Kostova, T., "Transnational Transfer of Strategic Organizational Practices: A Contextual Perspective", The Academy of Management Review, Vol. 24, No. 2, 1999, pp. 308-324. https://doi.org/10.5465/amr.1999.1893938
  42. Kraft, P., "Challenging the Mumford Democrats at Derby Works", Computing, 1979.
  43. Locke, E. A. and Schweiger, D. M., "Participation in decision-making: One more look", Research in Organizational Behavior, Vol. 1, No. 10, 1979, pp. 265-339.
  44. Luftman, J. and Ben-Zvi, T., "Key issues for IT executives 2010, judicious IT investments continue post-recession", MIS Quarterly Executive, Vol. 9, No. 4, 2010, pp. 263-273.
  45. Lynch, T. and Gregor, S., "User participation in decision support systems development: influencing system outcomes", European Journal of Information Systems, Vol. 13, No. 4, 2004, pp. 286-301. https://doi.org/10.1057/palgrave.ejis.3000512
  46. McKeen, J. D. and Guimaraes, T., "Successful strategies for user participation in systems development", Journal of Management Information Systems, Vol. 14, No. 2, 1997, pp. 133-150. https://doi.org/10.1080/07421222.1997.11518168
  47. McKeen, J. D., Guimaraes, T., and Wetherbe, J. C., "The relationship between user participation and user satisfaction: an investigation of four contingency factors", MIS Quarterly, Vol. 18, No. 4, 1994, pp. 427-451. https://doi.org/10.2307/249523
  48. Mumford, E., "Participative systems design: Practice and theory", Journal of Occupational Behaviour, Vol. 4, No. 1, 1983, pp. 47-57.
  49. Olszak, C. M., "Dynamic business intelligence and analytical capabilities in organizations", Proceedings of the e-skills for knowledge production and innovation conference, 2014.
  50. Popovic, A., Hackney, R., Coelho, P. S., and Jaklic, J., "Towards business intelligence systems success: Effects of maturity and culture on analytical decision making", Decision Support Systems, Vol. 54, No. 1, 2012, pp. 729-739. https://doi.org/10.1016/j.dss.2012.08.017
  51. Popovic, A., Hackney, R., Coelho, P. S., and Jaklic, J., "How information-sharing values influence the use of information systems: An investigation in the business intelligence systems context", The Journal of Strategic Information Systems, Vol. 23, No. 4, 2014, pp. 270-283. https://doi.org/10.1016/j.jsis.2014.08.003
  52. Rossi, B., "Five reasons why BI and analytics are the top CIO priority", 2012, http:// www.information-age.com/five-reasonswhy-bi-and-analytics-are-the-top-ciopriority-2100443/.
  53. Sangari, M. S. and Razmi, J., "Business intelligence competence, agile capabilities, and agile performance in supply chain: An empirical study", The International Journal of Logistics Management, Vol. 26, No. 2, 2015, pp. 356-380. https://doi.org/10.1108/IJLM-01-2013-0012
  54. Schick, A., Frolick, M., and Ariyachandra, T., "Competing with BI and analytics at monster worldwide", 44th Hawaii International Conference on System Sciences, IEEE., 2011.
  55. Seah, M., Hsieh, M. H., and Weng, P. D., "A case analysis of Savecom: The role of indigenous leadership in implementing a business intelligence system", International Journal of Information Management, Vol. 30, No. 4, 2010, pp. 368-373. https://doi.org/10.1016/j.ijinfomgt.2010.04.002
  56. Swanson, E. B., "Management information systems: appreciation and involvement", Management Science, Vol. 21, No. 2, 1974, pp. 178-188. https://doi.org/10.1287/mnsc.21.2.178
  57. Wang, H. C., "Distinguishing the adoption of business intelligence systems from their implementation: the role of managers' personality profiles", Behaviour & Information Technology, Vol. 33, No. 10, 2014, pp. 1082-1092. https://doi.org/10.1080/0144929X.2013.869260
  58. Wang, W., Liu, L., Feng, Y., and Wang, T., "Innovation with IS usage: Individual absorptive capacity as a mediator", Industrial Management & Data Systems, Vol. 114, No. 8, 2014, pp. 1110-1130. https://doi.org/10.1108/IMDS-05-2014-0160
  59. Watson, H. J. and Wixom, B., "Enterprise agility and mature BI capabilities", Business Intelligence Journal, Vol. 12, No. 3, 2007, pp. 4-6.
  60. Wixom, B. H. and Watson, H. J., "An empirical investigation of the factors affecting data warehousing success", MIS Quarterly, Vol. 25, No. 1, 2001, pp. 17-41. https://doi.org/10.2307/3250957
  61. Yates, J. F., Price, P. C., Lee, J. W., and Ramirez, J., "Good probabilistic forecasters: the consumer's perspective", International Journal of Forecasting, Vol. 12, No. 1, 1996, pp. 41-56. https://doi.org/10.1016/0169-2070(95)00636-2
  62. Yeoh, W. and Koronios, A., "Critical success factors for business intelligence systems", Journal of Computer Information Systems, Vol. 50, No. 3, 2010, pp. 23-32.
  63. Yeoh, W., Richards, G., and Wang, S., "Benefits and Barriers To Corporate Performance Management Systems", Journal of Computer Information Systems, Vol. 55, No. 1, 2014, pp. 105-116. https://doi.org/10.1080/08874417.2014.11645745
  64. Zand, D. E. and Sorensen, R. E., "Theory of change and the effective use of management science", Administrative Science Quarterly, Vol. 20, No. 4, 1975, pp. 532-545. https://doi.org/10.2307/2392021