The state of research on information systems success - a review of existing multidimensional approaches;Der stand der forschung zur erfolgsmessung von informationssystemen - eine analyse vorhandener mehrdimensionaler ansätze

Business and Information Systems Engineering

Volumn 51, Issue 4, 2009, Pages 363-375

  Urbach, Nils ^a   Smolnik, Stefan ^a   Riempp, Gerold ^a  

^a EBS BUSINESS SCHOOL   (Germany)

Author keywords

Information systems effectiveness; Information systems success; Literature review

Indexed keywords

EID: 84856384428     PISSN: None     EISSN: 18670202     Source Type: Journal    
DOI: 10.1007/s11576-009-0181-y     Document Type: Article

References (72)

1. Alavi M, Carlson P (1992) A review of MIS research and disciplinary development. Journal of Management Information Systems 8(4):45-62
2. Almutairi H, Subramanian GH (2005) An empirical application of the DeLone and McLean model in the Kuwaiti private sector. Journal of Computer Information Systems 45(3):113-122
3. APA (2001) Publication manual of the American Psychological Association, 5. Aufl. APA, Washington, DC
4. Bailey JE, Pearson SW(1983) Development of a tool for measuring and analyzing computer user satisfaction. Management Science 29(5):530-545
5. Ballantine J, Bonner M, Levy M, Martin A, Munro I, Powell P (1996) The 3-D model of information systems success: the search for the dependent variable continues. Information Resource Management Journal 9(4):5-14
6. th European conference on information systems (ECIS 07). St. Gallen
7. Bélanger F, Fan W, Schaupp LC, Krishen A, Ever-hart J, Poteet D, Nakamoto K (2006) Web site success metrics: addressing the duality of goals. Communications of the ACM 49(12):114-116
8. Bradley RV, Pridmore JL, Byrd TA (2006) Information systems success in the context of different corporate cultural types: an empirical investigation. Journal of Management Information Systems 23(2):267-294
9. Briggs RO, De Vreede GJ, Nunamaker JF Jr, Spra-gue RH Jr (2003) Special issue: information systems success. Journal of Management Information Systems 19(4):5-8
10. Brynjolfsson E (1993) The productivity paradox of information technology. Communications of theACM36(12):66-77
11. Byrd TA, Thrasher EH, Lang T, Davidson NW (2006) A process-oriented perspective of IS success: examining the impact of IS on operational cost. Omega 34(5):448-460
12. ndannual conference of the Administrative Sciences Association of Canada (ASAC 2004). Quebec
13. Cha-Jan Chang J, King WR (2005) Measuring the performance of information systems: a functional scorecard. Journal of Management Information Systems 22(1):85-115
14. th Americas conference on information systems (AMCIS 07). Keystone
15. Cheung CMK, Lee MKO (2005) The asymmetric effect of website attribute performance on satisfaction: an empirical study. In: Proceedings of the 38* Hawaii international conference on system sciences (HICSS 05). Big Island
16. th Hawaii international conference on system sciences (HICSS 05). Big Island
17. Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3)318-340
18. DeLone WH, McLean ER (1992) Information systems success: the quest for the dependent variable. Information Systems Research 3(1):60-95
19. DeLone WH, McLean ER (2002) Information systems success revisited. In: Proceedings of the 35* Hawaii international conference on system sciences (HICSS 02). Big Island, S 238-249
20. DeLone WH, McLean ER (2003) The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems 19(4):9-30
21. DeLone WH, McLean ER (2004) Measuring e-com-merce success: applying the DeLone & McLean Information systems success model. International Journal of Electronic Commerce 9(1):31-47
22. Fettke P (2006) State-of-the-Art des State-of-the-Art: Eine Untersuchung der Forschungsmethode ,Review" innerhalb der Wirtschaftsinformatik. WIRTSCHAFTSINFORMATIK 48(4):257-266
23. Gable G, Sedera D, Chan T (2003) Enterprise systems success: a measurement model. In: Proceedings of the 24* international conference on information systems (ICIS 03). Seattle
24. Garrity EJ, Glassberg B, Kim YJ, Sanders GL, Shin SK (2005) An experimental investigation of web-based information systems success in the context of electronic commerce. Decision Support Systems 39(31:485-503
25. Gatian AW (1994) Is user satisfaction a valid measure of system effectiveness? Information & Management 26(31:119-131
26. Gonzalez R, Gasco J, Llopis J (2006) Informationsystems outsourcing: A literature analysis. Information & Management 43(7):821-834
27. Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Quarterly 19(2):213
28. Grover V, Jeong SR, Segars AH (1996) Information systems effectiveness: the construct space and patters of application. Information & Management 31(4):177-191
29. Hu PJH (2003) Evaluating telemedicine systems success: a revised model. In: Proceedings of the Sõ^Hawaii international conference on system sciences (HICSS 03). Big Island
30. IDC (2007) IDC press release. Framingham
31. livari J (2005) An empirical test of the DeLone-McLean model of information system success. The DATA BASE for Advances in Information Systems 26(2):8-27
32. Jennex ME, Olfman L (2003) A knowledge management success model: an extension of DeLone and McLean's IS success model. In: Proceedings of the 9* Americas conference on information systems (AMCIS 03). Tampa
33. Jennex ME, Olfman L (2004) Assessing knowledge management success/effectiveness models. In: Proceedings of the 37* Hawaii international conference on system sciences (HICSS 04). Big Island
34. Keen PGW (1980) Reference disciplines and a cumulative tradition. In: Proceedings of the 1st international conference on information systems (ICIS 80). Philadelphia, S 9-18
35. King WR, He J (2005) Understanding the role and methods of meta-analysis in IS research. Communication of the AIS 16:656-686
36. Kleist VF, Williams L, Peace AG (2004) A performance evaluation framework for a public university knowledge management system. Journal of Computer Information Systems 44(3):9-16
37. Kulkarni UR, Ravindran S, Freeze R (2006) A knowledge management success model: theoretical development and empirical validation. Journal of Management Information Systems 23(3):309-347
38. Larsen KRT (2003) A taxonomy of antecedents of information systems success: variable analysis studies. Journal of Management Information Systems 20(2):169-246
39. Lucas Jr HC (1978) Empirical evidence for a descriptive model of implementation. MIS Quarterly 2(2):27
40. Mao E, Ambrose P (2004) A theoretical and empirical validation of is success models in a temporal and quasi volitional technology usage context. In: Proceedings of the 10* Americas conference on information systems (AMCIS 04). New York
41. Nelson RR, Todd PA, Wixom BH (2005) Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems 21 (4):199-235
42. Palvia P, Mao E, Midha V (2003) Management information systems research: what's there in a methodology? Communication of the AIS 11:289-309
43. Palvia P, Mao E, Midha V (2004) Research metho-dologies in MIS: an update. Communication of the AIS 14:526-542
44. Pare G, Aubry D, Lepanto L, Sicotte C (2005) Evaluating PACS success: a multidimensional model. In: Proceedings of the 38* Hawaii international conference on system sciences (HICSS 05). Big Island
45. Qian Z, Bock GW (2005) An empirical study on measuring the success of knowledge repository systems. In: Proceedings of the 38* Hawaii international conference on system sciences (HICSS 05). Big Island
46. Rai A, Lang SS, Welker RB (2002) Assessing the validity of IS success models: an empirical test and theoretical analysis. Information Systems Research 13(1):50-69
47. Rainer Jr RK, Watson HJ (1995) The keys to executive information system success. Journal of Management Information Systems 12(2):83-98
48. Rosemann M, Vessey I (2005) Linking theory and practice: performing a reality check on a model of IS success. In: Proceedings of the 13* European conference on information systems (ECIS 05). Regensburg
49. Rosemann M, Vessey I (2008) Toward improving the relevance of information systems research to practice: the role of applicability checks. MIS Quarterly 32(1):1-22
50. Saunders C (2008) MIS journal rankings, http://www.isworld.org/csaunders/ rankings.htm. Accessed 2008-10-15
51. IhHawaii international conference on system sciences (HICSS 06). Kauai
52. Seddon PB (1997) A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research 8(3):240-253
53. Seddon PB, Kiew MY (1994) A partial test and development of the DeLone and McLean model of IS success. In: Proceedings of the 15* international conference on information systems (ICIS 94).Vancouver,S99-110
54. Seddon PB, Staples S, Patnayakuni R, Bowtell M (1999) Dimensions of information systems success. Communications of the AIS 2:1-60
55. Sedera D (2006) An empirical investigation of the salient characteristics of IS-success models. In: Proceedings of the 12* Americas conference on information systems (AMCIS 06). Acapulco
56. Sedera D, Gable G (2004a) A factor and structural equation analysis of the enterprise systems success measurement model. In: Proceedings of the 37* Hawaii international conference on system sciences (HICSS 04). Big Island
57. Sedera D, Gable G (2004b) A factor and structural equation analysis of the enterprise systems success measurement model. In: Proceedings of the 25* international conference on information systems (ICIS 04). Washington, DC, S. December 12-15
58. Sedera D, Gable G, Chan T (2004a) Knowledge management as an antecedent of enterprise system success. In: Proceedings of the 10* Americas conference on information systems (AMCIS 04). New York
59. th European conference on information systems (ECIS 04). Turku
60. Seen M, Rouse AC, Beaumont N (2007) Explaining and predicting information systems acceptance and success: an integrative model. In: Proceedings of the 15* European conference on information systems (ECIS 07). St Gallen
61. Shannon CE, Weaver W (1949) The mathematical theory of communication. University of Illinois Press, Urbana
62. Shin B (2003) An exploratory investigation of system success factors in data warehousing. Journal of the AIS 4:141-170
63. Sugumaran V, Arogyaswamy B (2003) Measuring IT performance:, contingency" variables and value modes. Journal of Computer Information Systems 44(2):79-86
64. th Americas conference on information systems (AMCIS06).Acapulco
65. Tinsley HE, Weiss DJ (1975) Interrater reliability and agreement of subjective judgments. Journal of Counseling Psychology 22(4):358-376
66. Verner J, Cox K, Bleistein SJ (2006) Predicting good requirements for in-house development projects. In: Proceedings of the 2006 ACM/IEEE international symposium on empirical software engineering. Rio de Janeiro, S154-163
67. Watson RT, Pitt LF, Kavan CB (1998) Measuring information systems service quality: lessons from two longitudinal case studies. MIS Quarterly 22(1):61-79
68. Webster J, Watson RT (2002) Analyzing the past to prepare for the future: writing a literature review. MIS Quarterly 26(2):xiii-xxiii
69. th Hawaii international conference on system sciences (HICSS 03). Big Island
70. Wixom BH, Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance. Information Systems Research 16(11:85-102
71. Wu JH, Wang YM (2006) Measuring KMS success: A respecification of the DeLone and McLean's model. Information & Management 43(6):728-739
72. Yusof MM, Paul RJ, Stergioulas LK (2006) Towards a framework for health information systems evaluation. In: Proceedings of the 39* Hawaii international conference on system sciences (HICSS 06). Kauai