Measuring the effects of business intelligence systems: The relationship between business process and organizational performance

International Journal of Accounting Information Systems

Volumn 9, Issue 3, 2008, Pages 135-153

  Elbashir, Mohamed Z ^a   Collier, Philip A ^b   Davern, Michael J ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Business intelligence systems; Business process performance measures; Business value of IT intensive systems; Industry effects; Organizational performance measures

Indexed keywords

EID: 51249116446     PISSN: 14670895     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.accinf.2008.03.001     Document Type: Article

References (102)

1. Anderson S.W., and Lanen W.N. Using electronic data interchange (EDI) to improve the efficiency of accounting transactions. Account Rev 77 4 (2002) 703-729 [October]
2. Aral S., and Weill P. IT assets, organizational capabilities and firm performance: asset and capability specific complementarities. CISR working paper vol. 356 (2004)
3. Armstrong C.P., and Sambamurthy V. Information technology assimilation in firms: the influence of senior leadership and IT infrastructures. Inf Syst Res 10 4 (1999) 304-327
4. Arnold V. Behavioural research opportunities: understanding the impact of enterprise systems. Int J Account Inform Syst 7 1 (2006) 7-17
5. Bakos J.Y., and Treacy M.E. Information technology and corporate strategy: a research perspective. MIS Quart 10 2 (1986) 107-118
6. Banker R.D., Kauffmann R.J., and Mahmood M.A. Strategic information technology management: Perspectives on organisational growth and competitive advantage (1993), Idea Group Pubishing, Harrisburg, PA
7. Banker R.D., Chang H., and Kao Y.-c. Impact of information technology on public accounting firm productivity. J Info Syst 16 2 (2002) 209-222
8. Barua A., and Mukhopadhyay T. Information technology and business performance: Past, present, and future. In: Zmud R.W. (Ed). Framing the Domains of IT Management: Projecting the Future Through the Past (2000), Pinnaflex Education Resources, Cincinnati, Ohio 65-84
9. Barua A., Kriebel C.H., and Mukhopadhyay T. Information technologies and business value: an analytic and empirical investigation. Inf Syst Res 6 1 (1995) 3-23
10. Bharadwaj A.S. A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS Quart 24 1 (2000) 169-196
11. Boulianne E. Revisiting fit between AIS design and performance with the analyzer strategic-type. Int J Account Inform Syst 8 1 (2007) 1-16
12. Cavalcanti E.P. The relationship between business intelligence and business success. J Compet Intell Manage 3 1 (2005) 6-14
13. Chan Y.E. IT value: The great divide between qualitative and quantitative and individual and organizational measures. J Manage Inf Syst 16 4 (2000) 225-261
14. Chatterjee D., Grewal R., and Sambamurthy V. Shaping up for e-commerce: Institutional enablers of the organizational assimilation of Web technologies. MIS Quart 26 2 (2002) 65-89
15. Chiasson M.W., and Davidson E. Taking industry seriously in information systems research. MIS Quart 29 4 (2005) 591-605
16. Chin W.W. Issues and opinion on structural equation modeling. MIS Quart 22 1 (1998) VII-XVI
17. Chin W.W. The partial least squares approach to structural equation modeling. In: Marcoulides G.A. (Ed). Research Methods for Business Research (1998), Lawrence Erlbaum Associates, Mahwah, New Jersey
18. Chin W.W., Marcolin B.L., and Newsted P.R. A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and voice mail emotion/adoption study. The 17th International Conference on Information Systems, Cleveland, OH (1996)
19. Chin W.W., Marcolin B.L., and Newsted P.R. 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. Inf Syst Res 14 2 (2003) 189-217
20. Churchill G.A. A paradigm for developing better measures of marketing constructs. J Mark Res 16 1 (1979) 64-73 [Feb]
21. Cottrill K. Turning competitive intelligence into business knowledge. J Bus Strategy 19 4 (1998) 27-30
22. Davenport T.H., and Beers M.C. Managing information about processes. J Manage Inf Syst 12 1 (1995) 57-80
23. Davern M.J., and Kauffman R.J. Discovering potential and realizing value from information technology investments. J Manage Inf Syst 16 4 (2000) 121-143
24. Davison L. Measuring competitive intelligence effectiveness: Insights from the advertising industry. Compet Intell Rev 12 4 (2001) 25-38
25. Dehning B., and Richardson V.J. Returns on investments in information technology: A research synthesis. J Info Syst 16 1 (2002) 7-30
26. Dehning B., and Stratopoulos T. DuPont analysis of an IT-enabled competitive advantage. Int J Account Inform Syst 3 3 (2002) 165
27. DeVellis R. Scale development (1991), Sage Publications, Newbury Park, NJ
28. DeVoe L., and Neal K. When business intelligence equals business value. Bus Intell J 10 3 (2005) 57-63
29. Dillman D.A. Mail and internet surveys: The tailored design method. 2nd ed. (2000), John Wiley & Sons, Inc., New York, NY
30. Edwards M. Best practices in data warehousing award winners 2001. Bus Intell J 6 4 (2001)
31. Edwards M. Best practices and leadership in data warehousing award winners 2002. Bus Intell J 7 4 (2002)
32. Edwards M. 2003 best practices awards winners: Innovators in business intelligence and data warehousing. Bus Intell J 8 4 (2003)
33. Elbashir M. Strategic information systems and organizational performance: Exploring the role of Assimilation and IT infrastructure. 3rd Asia/Pacific Research Symposium on Accounting Information Systems, Brisbane (2007)
34. Elbashir M., and Collier P.A. Business value of business intelligence systems. The University of Melbourne, White Paper (2005)
35. Elbashir M., and Williams S. BI Impact: The assimilation of business intelligence into core business processes. Bus Intell J 12 4 (2007)
36. Fuller N. Fulcrum analytics helps PDV hit the target. Case Study Media (2006), Fulcrum
37. Gefen D., Straub D.W., and Boudreau M.-C. Structural equation modeling and regression: Guidelines for research practice. Commun AIS 4 Article 7 (2000) 1-77
38. Grayson I. Digging deeper in data mines. The AUSTRALIAN (2006)
39. Grecich D.G. 1999 best practices in data warehousing awards winning summaries. J Data Warehous 5 1 (2000) 2-10
40. Hair J.F., Anderson R.E., Tatham R.L., and Black W.C. Multivariate data analysis (1998), Prentice-Hall, Upper Saddle River, New Jersey
41. Hannula M., and Pirttimaki V. Business intelligence empirical study on the top 50 Finnish companies. J Am Acad Bus Camb 2 2 (2003) 593-599
42. Head B. Knowledge is power: a new breed of productive technology helps Australian organizations do every thing from sell nappies to hunt terrorists. The Age, Melbourne, Australia (2004)
43. Herring J.P. Measuring the effectiveness of competitive intelligence: Assessing and communicating CI's value to your organization. 2nd edition (1999), Society for Competitive Intelligence Professionals (SCIP), Alexandria, VA
44. Hesford J., and Antia K. A process-oriented view of competitive intelligence and its impact on organizational performance. Working Paper (2006), Richard Ivey School of Business, The University of Western Ontaria
45. Hitt L.M., and Brynjolfsson E. Productivity, business profitability, and consumer surplus: Three different measures of information technology value. MIS Quart 20 2 (1996) 121-142
46. Huber G.P., and Power D.J. Retrospective reports of strategic-level managers: guidelines for increasing their accuracy. Strateg Manage J 6 2 (1985) 171-180
47. Hulland J. Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strateg Manage J 20 2 (1999) 195-204
48. Hunton J.E., McEwen R.A., and Wier B. The reaction of financial analysts to enterprise resource planning (ERP) implementation plans. J Info Syst 16 1 (2002) 31-40
49. Hunton J.E., Lippincott B., and Reck J.L. Enterprise resource planning systems: Comparing firm performance of adopters and nonadopters. Int J Account Inform Syst 4 3 (2003) 165
50. Ismail N.A., and King M. Firm performance and AIS alignment in Malaysian SMEs. Int J Account Inform Syst 6 4 (2005) 241-259
51. Jarvis C.B., MacKenzie S.B., and Podsakoff P.M. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J Consum Res 30 2 (2003) 199-218
52. Kohli R., and Devaraj S. Measuring information technology payoff: a meta-analysis of structural variables in firm-level empirical research. Inf Syst Res 14 2 (2003) 127-145
53. Liang T.P., and Tang M.J. Var analysis: A framework for justifying strategic information-systems projects. Data Base 23 1 (1992) 27-35
54. Lönnqvist A., and Pirttimäki V. The measurement of business intelligence. Inf Syst Manage 23 1 (2006) 32-40
55. Lucas Jr. H.C. The business value of information technology: a historical perspective and thoughts for future research. In: Banker R.D., Kaufmann R.J., and Mahmood M.A. (Eds). Strategic Information Technology Management: Perspectives on Organizational Growth and Competitive Advantage (1993), Idea Group Publishing 359-374
56. Mahmood M.A., and Soon S.K. A comprehensive model for measuring the potential impact of information technology on organizational strategic variables. Decis Sci 22 4 (1991) 869-897
57. Mardia K.V. Measures of multivariate skewness and kurtosis with applications. Biometrika 57 (1970) 519-530
58. Marin J., and Poulter A. Dissemination of competitive intelligence. J Inf Sci 30 2 (2004) 165-180
59. Mathieson K., Peacock E., and Chin W. Extending the technology acceptance model: The influence of perceived user resources. Data Base Adv Inf Syst 32 3 (2001) 86-112
60. Melville N., Kraemer K., and Gurbaxani V. Information technology and organizational performance: An integrative model of IT business value. MIS Quart 28 2 (2004) 283-322
61. Mooney J., Gurbaxani V., and Kraemer K.L. A process oriented framework for assessing the business value of information technology. Sixteenth Annual International Conference on Information Systems, Amsterdam, The Netherlands (1995) 17-27
62. Moore G., and Benbasat I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res 2 3 (1991) 192-221
63. Mukhopadhyay T., and Kekre S. Strategic and operational benefits of electronic integration in B2B procurement processes. Manage Sci 48 10 (2002) 1301-1313
64. Nemati H.R., and Barko C.D. Issues in organizational data mining: a survey of current practices. J Data Warehous 6 1 (2001) 25-34
65. Nicolaou A.I. Firm performance effects in relation to the implementation and use of enterprise resource planning systems. J Info Syst 18 2 (2004) 79-105
66. Nicolaou A.I., and Bhattacharya S. Organizational performance effects of ERP systems usage: The impact of post-implementation changes. Int J Account Inform Syst 7 1 (2006) 18-35
67. Nunnally J.C. Psychometric theory (1978), McGraw-Hill Inc, New York
68. Orlikowski W.J., and Iacono C.S. Desperately seeking the "IT" in IT research: A call to theorizing the IT artifact. Inf Syst Res 12 2 (2001) 121-134
69. Parsons G.L. Information technology: a new competitive weapon. Sloan Manage Rev 25 1 (1983) 3-14
70. Pirttimäki V., Lönnqvist A., and Karjaluoto A. Measurement of business intelligence in a Finnish telecommunications company. Electron J Knowl Manage 4 1 (2006) 83-90
71. Podsakoff PM, Organ DW. Self-reports in organizational research: problems and prospects. J Manage 1986; (12):531-44.
72. Porter M.E. Competitive advantage: Creating and sustaining superior performance (1985), Free Press, New York
73. Porter ME. What is strategy? Harvard Business Review (74:6), 1996, pp 61-78.
74. Porter ME, Millar VE. How Information Gives You Competitive Advantage, Harvard Business Review (63:4) 1985, pp 149-160.
75. Poston R., and Grabski S. Financial impacts of enterprise resource planning implementations. Int J Account Inform Syst 2 4 (2001) 271-294
76. Purvis R.L., Sambamurthy V., and Zmud R.W. The assimilation of knowledge platforms in organizations: An empirical investigation. Organ Sci 12 2 (2001) 117-135
77. Rasmussen R. Western digital receives 1999 best practices award in data warehousing, analytical applications category from the data warehousing institute. DM Review (1999)
78. Ray G., Barney J.B., and Muhanna W.A. Capabilities, business processes, and competitive advantage: choosing the dependent variable in empirical tests of the resource-based view. Strateg Manage J 25 1 (2004) 23-37
79. Ray G., Muhanna W.A., and Barney J.B. Information technology and the performance of the customer service process: a resource-based analysis. MIS Quart 29 4 (2005) 625-652
80. Rikhardsson P., and Kræmmergaard P. Identifying the effects of enterprise system implementation and use: examples from Denmark. International Journal of Accounting Information Systems 17 1 (2006) 36-49
81. Rogge E. Aligning business and IT to improve performance. Operational Research Intelligence. 2005.
82. Sethi V., and King W.R. Development of measures to assess the extent to which an information technology application provides competitive advantage. Manage Sci 40 12 (1994) 1601-1627
83. Straub D.W. Validating instruments in MIS research. MIS Quart 13 2 (1989) 147-169
84. Subramani M. How do suppliers benefit from information technology use in supply chain relationships?. MIS Quart 28 1 (2004) 45-73
85. Swanson E.B. Information systems innovation among organizations. Manage Sci 40 9 (1994) 1069-1092
86. Tallon P.P., Kraemer K.L., and Gurbaxani V. Executives' perceptions of the business value of information technology: a process-oriented approach. J Manage Inf Syst 16 4 (2000) 145-173
87. Tanriverdi H. Performance effects of information technology synergies in multibusiness firms. MIS Quart 30 1 (2006) 57-77
88. TDWI. Winners: Best practices awards 2004. Bus Intell J 9 4 (2004) 54-63 [Fall]
89. Thomas Jr J.H. Business intelligence-why?. eAI Journal (2001) 47-49 [July]
90. Torkzadeh G., and Doll W.J. The development of a tool for measuring the perceived impact of information technology on work. Omega 27 3 (1999) 327-339
91. Turner J., and Lucas H.C. Developing strategic information systems. In: Guth W. (Ed). Handbook of Business Strategy (1985), Warren, Gorham and Lamont, Boston
92. Venkatraman N., and Ramanujam V. Measurement of business economic performance: an examination of method convergence. J Manage 13 1 (1987) 109-122
93. Verbeke W., and Bagozzi R.P. A situational analysis on how salespeople experience and cope with shame and embarrassment. Psychol Mark 19 9 (2002) 713-741
94. Wade M., and Hulland J. The resource-based view and information systems research: review, extension, and suggestions for future research. MIS Quart 28 1 (2004) 107-142
95. Weill P. The relationship between investment in information technology and firm performance: A study of the valve manufacturing sector. Inf Syst Res 3 4 (1992) 307-333
96. Weill P., and Olson M.H. Managing investment in information technology: Mini case examples and implications. MIS Quart 13 1 (1989) 3-17
97. Werner V., and Abramson C. The critical business need to reduce elapsed time. Bus Intell J 8 2 (2003) 4-9
98. Wier B., Hunton J., and HassabElnaby H.R. Enterprise resource planning systems and non-financial performance incentives: the joint impact on corporate performance. Int J Account Inform Syst 8 3 (2007) 165-190
99. Williams S. How to capture the business value of business intelligence. TDWI FlashPoint (2004)
100. Williams N., and Williams S. The business value of business intelligence. Bus Intell J 8 4 (2003) 30-39
101. Zhu K., Kraemer K.L., Xu S., and Dedrick J. Information technology payoff in e-business environments: an international perspective on value creation of e-business in the financial services industry. J Manage Inf Syst 21 1 (2004) 17-54
102. Zhuang Y.L., and Lederer A.L. An instrument for measuring the business benefits of e-commerce retailing. Int J Electron Commer 7 3 (2003) 65-99