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International Conference on Intelligent Systems Design and Applications

ISDA 2018 2018: Intelligent Systems Design and Applications pp 123–137Cite as

Information Systems Success: Extending the Theoretical Model from IT Business Value Perspective

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

Abstract

Information technology is becoming more energetic than ever in the world. Nevertheless, there are still the gaps between the information systems and the business needs of the organizations, the contributions of information technology in creating business value in the organizations are still overcast. This study proposes an extended theoretical model for information systems success from the information technology business value perspective, based on the organizational resource–based view. Research results externalize that these constructs called information technology resources, performance expectancy, information quality, system quality and system use which are structurally related to firm performance.

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References

  1. Ajzen, I.: From intentions to actions: a theory of planned behavior. In: Action Control, pp. 11–39. Springer (1985)

    Google Scholar 

  2. Barney, J.: Firm resources and sustained competitive advantage. J. Manage. 17(1), 99–120 (1991)

    Google Scholar 

  3. Beath, C., Goodhue, D., Ross, J.: Partnering for business value: the shared management of the IS infrastructure. In: ICIS Proceedings, p. 40 (1994)

    Google Scholar 

  4. Belkaoui, A.: Intellectual capital and firm performance of US multinational firms: a study of the resource–based and stakeholder views. J. Intellect. Capit. 4(2), 215–226 (2003)

    Google Scholar 

  5. Bharadwaj, A.: A resource–based perspective on information technology capability and firm performance: an empirical investigation. MIS Q. 24, 169–196 (2000)

    Google Scholar 

  6. Brynjolfsson, E., Hitt, L.: Beyond computation: information technology, organizational transformation and business performance. J. Econ. Perspect. 14(4), 23–48 (2000)

    Google Scholar 

  7. Chen, X., Huang, Q., Davison, R.: The role of website quality and social capital in building buyers’ loyalty. Int. J. Inf. Manag. 37(1), 1563–1574 (2017)

    Google Scholar 

  8. Compeau, D., Higgins, C.: Application of social cognitive theory to training for computer skills. Inform. Syst. Res. 6(2), 118–143 (1995)

    Google Scholar 

  9. Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)

    Google Scholar 

  10. Davis, F., Bagozzi, R., Warshaw, P.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)

    Google Scholar 

  11. Davis, F., Bagozzi, R., Warshaw, P.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)

    Google Scholar 

  12. Davenport, T.: Process Innovation: Reengineering Work Through Information Technology. Harvard Business School Press, Boston (1993)

    Google Scholar 

  13. DeLone, W., Espinosa, J., Lee, G., Carmel, E.: Bridging global boundaries for IS project success. In: HICSS Proceedings, p. 126 (2005)

    Google Scholar 

  14. DeLone, W., McLean, E.: Information systems success: the quest for the dependent variable. Inform. Syst. Res. 3(1), 60–95 (1992)

    Google Scholar 

  15. DeLone, W., McLean, E.: The DeLone and McLean model of information systems success: a ten–year update. J. Manag. Inform. Syst. 19(4), 9–30 (2003)

    Google Scholar 

  16. DeLone, W., McLean, E.: Measuring e–commerce success: applying the DeLone & McLean information systems success model. Int. J. Electron. Commer. 9(1), 31–47 (2004)

    Google Scholar 

  17. DeLone, W., McLean, E.: Information Systems Success Measurement. Foundations and Trends in Information Systems. Now Publishers Inc., MA (2016)

    Google Scholar 

  18. Devaraj, S., Kohli, R.: Performance impacts of information technology: is actual usage the missing link? Manag. Sci. 49(3), 273–289 (2003)

    Google Scholar 

  19. Espinosa, J., DeLone, W., Lee, G.: Global boundaries, task processes and IS project success: a field study. Inform. Technol. People 19(4), 345–370 (2006)

    Google Scholar 

  20. Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and behavior: An Introduction to Theory and Research. Addison-Wesley, ‎Reading (1975)

    Google Scholar 

  21. Gable, G., Sedera, D., Chan, T.: Re–conceptualizing information system success: the IS–impact measurement model. J. AIS 9(7), 377–408 (2008)

    Google Scholar 

  22. Goodhue, D., Thompson, R.: Task–technology fit and individual performance. MIS Q. 19, 213–236 (1995)

    Google Scholar 

  23. Grabowski, M., Lee, S.: Linking information systems application portfolios and organizational strategy. In: Strategic Information Technology Management, pp. 33–54. ACM (1993)

    Google Scholar 

  24. Grant, R.: The resource–based theory of competitive advantage: Implications for strategy formulation. Knowl. Strat. 33(3), 3–23 (1999)

    Google Scholar 

  25. Gupta, G., Tan, K., Ee, Y., Phang, C.: Resource–based view of information systems: Sustainable and transient competitive advantage perspectives. Australas. J. Inform. Syst. 22, 45–54 (2018)

    Google Scholar 

  26. Hughes, D., Dwivedi, Y., Rana, N., Simintiras, A.: Information systems project failure–analysis of causal links using interpretive structural modelling. Prod. Plan. Control 27(16), 1313–1333 (2016)

    Google Scholar 

  27. Iannacci, F., Cornford, T.: Unravelling causal and temporal influences underpinning monitoring systems success: a typological approach. Inform. Syst. J. 28(2), 384–407 (2018)

    Google Scholar 

  28. Isaias, P., Issa, T.: Information systems’ models for success assessment. In: High Level Models and Methodologies for Information Systems, pp. 121–140. Springer (2015)

    Google Scholar 

  29. Jones, A., Stein, M., Mishra, A.: IS use. MIS Quart. (2018) (in Press)

    Google Scholar 

  30. Jeronimo, M., Herrero, I.: Capturing firms’ heterogeneity through marketing and IT capabilities in SMEs. Sustainability 9(12), 2180–2204 (2017)

    Google Scholar 

  31. Keen, P.: MIS research: Reference disciplines and a cumulative tradition. In: ICIS Proceedings, p. 9 (1980)

    Google Scholar 

  32. Kohli, R., Devaraj, S.: Measuring information technology payoff: a meta–analysis of structural variables in firm–level empirical research. Inform. Syst. Res. 14(2), 127–145 (2003)

    Google Scholar 

  33. Lucas, H.: The business value of information technology: a historical perspective and thoughts for future research. In: Strategic Information Technology Management, pp. 359–374. ACM (1993)

    Google Scholar 

  34. Markus, M., Soh, C.: Banking on information technology: converting IT spending into firm performance, pp. 375–403. IGI (1993)

    Google Scholar 

  35. Markus, M., Tanis, C.: The enterprise systems experience–from adoption to success. Framing the domains of IT research: Glimpsing the Future through the Past, p. 173 (2000)

    Google Scholar 

  36. Mason, R.: Measuring information output: a communication systems approach. Inform. Manage. 1(4), 219–234 (1978)

    Google Scholar 

  37. McLean, E., Sedera, D., Tan, F.: Reconceptualizing system use for contemporary information systems. PACIS Proceedings, p. 130 (2011)

    Google Scholar 

  38. Melville, N., Kraemer, K., Gurbaxani, V.: Information technology and organizational performance: an integrative model of IT business value. MIS Quart. 28(2), 283–322 (2004)

    Google Scholar 

  39. Moore, G., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inform. Syst. Res. 2(3), 192–222 (1991)

    Google Scholar 

  40. Molla, A., Licker, P.: E–commerce systems success: an attempt to extend and respecify the Delone and McLean model of IS success. J. Electron. Commer. Res. 2(4), 131–141 (2001)

    Google Scholar 

  41. Mukhopadhyay, T., Kekre, S., Kalathur, S.: Business value of information technology: a study of electronic data interchange. MIS Quart. 9, 137–156 (1995)

    Google Scholar 

  42. Nguyen, T.D., Nguyen, T.M., Cao, T.H.: Information systems success: a literature review. In: Future Data and Security Engineering, pp. 242–256. Springer (2015)

    Google Scholar 

  43. Nguyen, T.D., Nguyen, T.M., Cao, T.H.: A conceptual framework for IS project success. In: Context–Aware Systems and Applications, pp. 142–154. Springer (2017)

    Google Scholar 

  44. Pang, M., Lee, G., DeLone, W.: IT resources, organizational capabilities, and value creation in public–sector organizations: a public–value management perspective. J. Inform. Technol. 29(3), 187–205 (2014)

    Google Scholar 

  45. Petter, S., DeLone, W., McLean, E.: Information systems success: the quest for the independent variables. J. MIS 29(4), 7–62 (2013)

    Google Scholar 

  46. Petter, S., Randolph, A.: Developing soft skills to manage user expectations in IT projects: knowledge reuse among IT project managers. Proj. Manage. J. 40(4), 45–59 (2009)

    Google Scholar 

  47. Roberts, N., Galluch, P., Dinger, M., Grover, V.: Absorptive capacity and information systems research: review, synthesis, and directions for future research. MIS Q. 36, 625–648 (2012)

    Google Scholar 

  48. Sabherwal, R., Jeyaraj, A.: Information technology impacts on firm performance: an extension of Kohli and Devaraj (2003). MIS Q. 39(4), 809–836 (2015)

    Google Scholar 

  49. Sambamurthy, V., Zmud, R.: IT management competency assessment: A tool for creating business value through IT. Financial Executives Research Foundation, Morristown (1994)

    Google Scholar 

  50. Schryen, G.: Revisiting IS business value research: What we already know, what we still need to know, and how we can get there. Eur. J. Inf. Syst. 22(2), 139–169 (2013)

    Google Scholar 

  51. Seddon, P.: A respecification and extension of the DeLone and McLean model of IS success. Inform. Syst. Res. 8(3), 240–253 (1997)

    Google Scholar 

  52. Seddon, P.: Implications for strategic IS research of the resource–based theory of the firm: a reflection. J. Strat. Inf. Syst. 23(4), 257–269 (2014)

    Google Scholar 

  53. Seddon, P., Staples, S., Patnayakuni, R., Bowtell, M.: Dimensions of information systems success. Commun. AIS 2, 2–60 (1999)

    Google Scholar 

  54. Sedera, D., Lokuge, S., Grover, V., Sarker, S., Sarker, S.: Innovating with enterprise systems and digital platforms: a contingent resource–based theory view. Inform. Manage. 53(3), 366–379 (2016)

    Google Scholar 

  55. Shannon, C., Weaver, W.: A mathematical theory of communication. Bell Syst. Technol. J. 27, 379–423 (1948)

    MathSciNet  Google Scholar 

  56. Silver, M., Markus, M., Beath, C.: The information technology interaction model: a foundation for the MBA core course. MIS Q. 19, 361–390 (1995)

    Google Scholar 

  57. Soh, C., Markus, M.: How IT creates business value: a process theory synthesis. In: ICIS Proceedings, p. 4 (1995)

    Google Scholar 

  58. Standish Group: CHAOS report 2016 (2017). http://www.standishgroup.com

  59. Straub, D., Watson, R.: Research commentary: transformational issues in researching IS and net–enabled organizations. Inform. Syst. Res. 12(4), 337–345 (2001)

    Google Scholar 

  60. Taylor, S., Todd, P.: Understanding information technology usage: a test of competing models. Inform. Syst. Res. 6(2), 144–176 (1995)

    Google Scholar 

  61. Thompson, R., Higgins, C., Howell, J.: Personal computing: toward a conceptual model of utilization. MIS Q. 15, 125–143 (1991)

    Google Scholar 

  62. Trieu, V.H.: Getting value from business intelligence systems: a review and research agenda. Decis. Support Syst. 93, 111–124 (2017)

    Google Scholar 

  63. Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)

    Google Scholar 

  64. Venkatesh, V., Brown, S.A., Maruping, L., Bala, H.: Predicting different conceptualizations of system use: the competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Q. 32, 483–502 (2008)

    Google Scholar 

  65. Venkatesh, V., Davis, F.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)

    Google Scholar 

  66. Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)

    Google Scholar 

  67. Venkatesh, V., Thong, J., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 23, 157–178 (2012)

    Google Scholar 

  68. Venkatesh, V., Thong, J., Xu, X.: Unified theory of acceptance and use of technology: a synthesis and the road ahead. J. AIS 17(5), 328–376 (2016)

    Google Scholar 

  69. Wernerfelt, B.: A resource-based view of the firm. Strateg. Manage. J. 5(2), 171–180 (1984)

    Google Scholar 

  70. Wixom, B., Todd, P.: A theoretical integration of user satisfaction and technology acceptance. Inform. Syst. Res. 16(1), 85–102 (2005)

    Google Scholar 

  71. Wixom, B., Watson, H.: An empirical investigation of the factors affecting data warehousing success. MIS Q. 25, 17–41 (2001)

    Google Scholar 

  72. Xu, J., Benbasat, I., Cenfetelli, R.: Integrating service quality with system and information quality: an empirical test in the e–service context. MIS Q. 37(3), 777–794 (2013)

    Google Scholar 

  73. Yoon, Y., Guimaraes, T., Clevenson, A.: Exploring expert system success factors for business process reengineering. J. Eng. Technol. Manage. 15, 179–199 (1998)

    Google Scholar 

  74. Zhang, T., Wang, X., Zhuang, G.: Building channel power: the role of IT resources and information management capability. J. Bus. Ind. Mark. 32(8), 1217–1227 (2017)

    Google Scholar 

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Acknowledgment

I acknowledge the helpful comments of Assoc. Prof. PhD. Thi H. Cao, Saigon Technology University – Vietnam, and Assoc. Prof. PhD. Tuan M. Nguyen, Bach Khoa University– Vietnam for this paper. I would like to say thanks three anonymous reviewers about the useful comments for my research.

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Authors and Affiliations

  1. Banking University of Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Thanh D. Nguyen

  2. Bach Khoa University, Ho Chi Minh City, Vietnam

    Thanh D. Nguyen

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  1. Thanh D. Nguyen
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Correspondence to Thanh D. Nguyen .

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Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Nguyen, T.D. (2020). Information Systems Success: Extending the Theoretical Model from IT Business Value Perspective. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_12

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