Modelling digital library success using the DeLone and McLean information system success model

Journal of Librarianship and Information Science

Volumn 51, Issue 2, 2019, Pages 291-306

  Alzahrani, Ahmed Ibrahim ^a   Mahmud, Imran ^b,c   Ramayah, T ^c,d   Alfarraj, Osama ^a   Alalwan, Nasser ^a  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

^b DAFFODIL INTERNATIONAL UNIVERSITY   (Bangladesh)

^c SCHOOL OF PHYSICS   (Malaysia)

^d SUNWAY UNIVERSITY   (Malaysia)

Author keywords

Actual usage; Delone and McLean s information system success model; digital library system; information quality; Malaysia; service quality; system quality

Indexed keywords

EID: 85065828998     PISSN: 09610006     EISSN: 17416477     Source Type: Journal    
DOI: 10.1177/0961000617726123     Document Type: Article

References (98)

1. Ahmad R, Hashim L, Harun N, (2016) Criteria for effective authentic personal branding for academic librarians in Universiti Sains Malaysia Libraries. Procedia-Social and Behavioral Sciences 224: 452–458.
2. Ahmat MA, Jaafar CRC, Azmi NA, (2016) The transformation of reference services in Hamzah Sendut Library, Universiti Sains Malaysia. Procedia-Social and Behavioral Sciences 224: 6–13.
3. Ahn T, Ryu S, Han I, (2004) The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce: Research and Applications 3(4): 405–420.
4. Allen IE, Seaman J, (2013) Changing Course: Ten Years of Tracking Online Education in the United States. Newburyport, MA: Sloan Consortium.
5. Alzahrani A, Stahl B, Prior M, (2012) Developing an instrument for e-public services’ acceptance using confirmatory factor analysis: Middle East context. Journal of Organization and End User Computing 24(3):18–44.
6. Alzahrani AI, Mahmud I, Ramayah T. (2016) Extending the theory of planned behavior (TPB) to explain online game playing among Malaysian undergraduate students. Telematics and Informatics 34(4): 239–251. Available at: http://dx.doi.org/10.1016/j.tele.2016.07.001 (accessed 28 July 2017).
7. Anderson JC, Gerbing DW, (1988) Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin 103(3): 411–423.
8. Bailey JE, Pearson SW, (1983) Development of a tool for measuring and analyzing computer user satisfaction. Management Science 29(5): 530–545.
9. Bakar ABA, Bakeri A, (2009) Education for digital libraries in Asian countries. In: Asia-Pacific conference on library & information education & practice, pp. 458–463. Available at: http://www.slis.tsukuba.ac.jp/a-liep2009/proceedings/Papers/a25.pdf (accessed 28 July 2017).
10. Bharati P, Berg D, (2003) Managing information systems for service quality: A study from the other side. Information Technology & People 16(2): 183–202.
11. Calisir F, Altin Gumussoy C, Bayram A, (2009) Predicting the behavioral intention to use enterprise resource planning systems: An exploratory extension of the technology acceptance model. Management Research News 32(7): 597–613.
12. Chen YH, (2015) Testing the impact of an information literacy course: Undergraduates’ perceptions and use of the university libraries’ web portal. Library & Information Science Research 37(3): 263–274.
13. Chen YH, Chengalur-Smith I, (2015) Factors influencing students’ use of a library Web portal: Applying course-integrated information literacy instruction as an intervention. The Internet and Higher Education 26: 42–55. DOI:10.1016/j.iheduc.2015.04.005
14. Cheng YM, (2014a) Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention. Information Technology & People 27(3): 230–258.
15. Cheng YM, (2014b) Why do users intend to continue using the digital library? An integrated perspective. Aslib Journal of Information Management 66(6): 640–662.
16. Chin WW, (1998) The partial least squares approach to structural equation modeling. Modern Methods for Business Research 295(2): 295–336.
17. Cohen J, (1988) Statistical Power Analysis: A Computer Program. Hillsdale, NJ: Lawrence Erlbaum Associates.
18. Connor E, (2007) Medical librarian 2.0. Medical Reference Services Quarterly 26(1): 1–15.
19. Curran K, Murray M, Norrby DS. (2006) Involving the user through Library 2.0. New Review of Information Networking 12(1): 47–59.
20. Dahan SM, Taib MY, Zainudin NM. (2016) Surveying users’ perception of academic library services quality: A case study in Universiti Malaysia Pahang (UMP) Library. Journal of Academic Librarianship 42(1): 38–43.
21. Davis FD, Bagozzi RP, Warshaw PR, (1989) User acceptance of computer technology: A comparison of two theoretical models. Management Science 35(8): 982–1003.
22. DeLone WH, (1988) Determinants of success for computer usage in small business. MIS Quarterly 12(1): 51–61.
23. DeLone WH, McLean ER, (1992) Information systems success: The quest for the dependent variable. Information Systems Research 3(1): 60–95.
24. DeLone WH, McLean ER, (2002) Information systems success revisited. In: 35th Annual Hawaii international conference on system sciences, HICSS 2002, Big Island, HI, USA, 7–10 January 2002, pp. 2966–2976. IEEE.
25. 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.
26. Delone WH, McLean ER, (2004) Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce 9(1): 31–47.
27. Doll WJ, Torkzadeh G, (1988) The measurement of end-user computing satisfaction. MIS Quarterly 12(2): 259–274.
28. Dollah WAKA, Singh D, (2010) Determining the effectiveness of digital reference services in Malaysian academic libraries. The Reference Librarian 51(4): 329–354.
29. Fornell C, Cha J, (1994) Partial least squares. Advanced Methods of Marketing Research 407: 52–78.
30. Fornell C, Larcker DF, (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1): 39–50.
31. Gefen D, Straub DW, Boudreau M-C, (2000) Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems 4(7): 1–77.
32. Hair JF, Ringle CM, Sarstedt M, (2011) PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice 19(2): 139–152.
33. Hair JF, Sarstedt M, Hopkins L. (2014) Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review 26(2):106–121.
34. Hamzah MF, Hisham R, Musa ISB. (2014) Knowledge production by librarians in Malaysia for evidence-based librarianship. Qualitative and Quantitative Methods in Libraries (QQML) 2: 509–518.
35. Henseler J, Ringle CM, Sinkovics RR, (2009) The use of partial least squares path modeling in international marketing. Advances in International Marketing (AIM) 20: 277–320.
36. Holmberg K, Huvila I, Kronqvist-Berg M. (2009) What is library 2.0? Journal of Documentation 65(4): 668–681.
37. Hsu CL, Lin JCC, (2010) A study of the adoption behaviour for in-car GPS navigation systems. International Journal of Mobile Communications 8(6): 603–624.
38. Hussein R, Shahriza Abdul Karim N, Hasan Selamat M, (2007) The impact of technological factors on information systems success in the electronic-government context. Business Process Management Journal 13(5): 613–627.
39. Iivari J, (1987) User information satisfaction (UIS) reconsidered: An information system as the antecedent of UIS. In: Eighth international conference on information systems, Pittsburgh, PA, USA, pp. 57–73.
40. Ismail NZ, Razak MR, Zakariah Z. (2012) E-learning continuance intention among higher learning institution students in Malaysia. Procedia-Social and Behavioral Sciences 67: 409–415.
41. Johari R, Zainab AN, (2007) Identifying what services need to be improved by measuring the library’s performance. Malaysian Journal of Library and Information Science 12(1): 35–53.
42. Kaur K, (2006) Digital libraries in Malaysia: An overview with an E-services perspective. In: Information management for global access: International conference on digital libraries (ed. TERI), New Delhi, India, 5–8 December 2006.
43. Kim S, Lee JW, (2015) Developing a digital library model for virtual universities in Korea: Current state and prospective model. Information Development 32(4): 1228–1239.
44. Kim YM, (2011) Why should I use university library website resources? Discipline differences. Journal of Academic Librarianship 37(1): 9–18.
45. Kline RB, (2005) Principles and Practice of Structural Equation Modeling. 2nd edn. New York: Guildford.
46. Koo C, Chung N, Kim DJ, (2015) How do social media transform politics? The role of a podcast, ‘Naneun Ggomsuda’ in South Korea. Information Development 31(5): 421–434.
47. Lee KH, Teh KH, (2001) Evaluation of academic library web sites in Malaysia. Malaysian Journal of Library & Information Science 5(2): 95–108.
48. Lin HF, (2007) Measuring online learning systems success: Applying the updated DeLone and McLean model. Cyberpsychology & Behavior 10(6): 817–820.
49. Lu Y, Zhou T, Wang B, (2009) Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior 25(1): 29–39.
50. Lwoga TE, (2013) Measuring the success of library 2.0 technologies in the African context: The suitability of the DeLone and McLean’s model. Campus-Wide Information Systems 30(4): 288–307.
51. Malaysian Communications and Multimedia Commission (2015) Internet Survey Guide 2014. Available at: http://www.skmm.gov.my/skmmgovmy/media/General/pdf/Internet-Users-Survey-2014.pdf (accesses 28 July 2017).
52. Mason RO, (1978) Measuring information output: A communication systems approach. Information & Management 1(4): 219–234.
53. Massis EB, (2014) What’s new in libraries: Innovation and rationalization to sustain the library’s future. New Library World 115(5/6): 285–288.
54. Mayeh M, Ramayah T, Popa S, (2014) The role of absorptive capacity in the usage of a complex information system: The case of the Enterprise Information System. Journal of Universal Computer Science 20(6): 826–841.
55. Negash S, Ryan T, Igbaria M, (2003) Quality and effectiveness in web-based customer support system. Information and Management 40(8): 757–768.
56. Masrek MNB, (2007) Measuring campus portal effectiveness and the contributing factors. Campus-Wide Information Systems 24(5): 342–354.
57. Omar SZ, Shaffril HAM, D’Silva JL. (2014) Mapping the patterns and problems in using rural library services among rural youth in Malaysia. Information Development 31(5): 393–404.
58. Palvia PC, (1996) A model and instrument for measuring small business user satisfaction with information technology. Information & Management 31(3): 151–163.
59. Park C, Kim Y, (2008) The effect of information satisfaction and relational benefit on consumer’s online shopping site commitment. Web Technologies for Commerce and Services Online 1: 149–169.
60. Park N, Roman R, Lee S. (2009) User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model. International Journal of Information Management 29(3): 196–209.
61. Peng DX, Lai F, (2012) Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management 30(6): 467–480.
62. Pituch KA, Lee YK, (2006) The influence of system characteristics on e-learning use. Computers & Education 47(2): 222–244.
63. Pitt LF, Watson RT, Kavan CB, (1995) Service quality: A measure of information systems effectiveness. MIS Quarterly 19(2): 173–187.
64. Rai A, Lang SS, Welker RB, (2002) Assessing the validity of IS success models: An empirical test and theoretical information analysis. Information Systems Research 13(1): 50–69.
65. Ramayah T, (2006) Interface characteristics, perceived ease of use and intention to use an digital library in Malaysia. Information Development 22(2): 123–133.
66. Ramayah T, Aafaqi B, (2004) Role of self-efficacy in e-library usage among students of a public university in Malaysia. Malaysian Journal of Library and Information Science 9: 39–58.
67. Ramayah T, Lee JWC, Boey JCI, (2011) Network collaboration and performance in the tourism sector. Service Business 5(4): 411–428.
68. Ramayah T, Yeap JAL, Ignatius J, (2013) An empirical inquiry on knowledge sharing among academicians in higher learning institutions. Minerva: A Review of Science, Learning and Policy 51(2): 131–154.
69. Rana NP, Dwivedi YK, Williams MD. (2015) Investigating success of an e-government initiative: Validation of an integrated IS success model. Information Systems Frontiers 17(1): 127–142.
70. Ravichandran T, Rai A, (2000) Quality management in systems development: An organizational system perspective. MIS Quarterly 24(3): 381–415.
71. Ringle CM, Wende S, Becker JM, (2015) Smart PLS 3. Boenningstedt: SmartPLS GmbH.
72. Rosemann M, Vessey I, (2004) On the applicability of the Bunge-Wand-Weber ontology to enterprise systems requirements. In: 15th Australasian conference on information systems, pp. 232–235.
73. Samadi I, Masrek MN, Yatin SFBM, (2014) The effect of individual characteristics and digital library characteristics on digital library effectiveness: A survey at University of Tehran. World Applied Sciences Journal 30 (Innovation Challenges in Multidisciplinary Research & Practice): 214–220. DOI: 10.5829/idosi.wasj.2014.30.icmrp.28
74. Schaupp LC, Fan W, Belanger F, (2006) Determining success for different website goals. In: 39th Annual Hawaii international conference on system sciences, HICSS’06, Kauia, HI, USA, 4–7 January 2006, vol. 6, pp. 107b-107b. IEEE.
75. Seddon PB, (1997) A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research 8(3): 240–253.
76. Seddon PB, Kiew MY, (1994) A partial test and development of the Delone and McLean model of IS success. In: 15th international conference on information systems (ICIS 94), Vancouver, Canada.
77. Sedera D, (2006) An empirical investigation of the salient characteristics of IS-success models. AMCIS 2006 Proceedings, Paper 66. Available at: https://pdfs.semanticscholar.org/0110/df5b8ef5b07f508364e80d495c791be137f6.pdf (accessed 28 July 2017).
78. Shannon CE, Weaver W, (1959) The Mathematical Theory of Communication. Champaign, IL: University of Illinois Press.
79. Shaltoni AM, Khraim H, Abuhamad A. (2015) Exploring students’ satisfaction with universities’ portals in developing countries: A cultural perspective. International Journal of Information and Learning Technology 32(2):82–93.
80. Shen R, Vemuri NS, Fan W. (2006) Exploring digital libraries: Integrating browsing, searching, and visualization. In: 6th ACM/IEEE-CS joint conference on digital libraries, pp. 1–10. ACM.
81. Shih YY, Huang SS, (2009) The actual usage of ERP systems: An extended technology acceptance perspective. Journal of Research and Practice in Information Technology 41(3): 263–276.
82. Shin B, (2003) An exploratory investigation of system success factors in data warehousing. Journal of the Association for Information Systems 4(1):141–170.
83. Silk KJ, Perrault EK, Ladenson S. (2015) The effectiveness of online versus in-person library instruction on finding empirical communication research. Journal of Academic Librarianship 41(2): 149–154.
84. Stylianou AC, Kumar RL, (2000) An integrative framework for IS quality management. Communications of the ACM 43(9): 99–104.
85. Teo TS, (2001) Demographic and motivation variables associated with Internet usage activities. Internet Research 11(2): 125–137.
86. Teoh ZM, Tan AK, (2011) Determinants of library use amongst university students. Malaysian Journal of Library & Information Science 16(2): 21–31.
87. Teow PL, Zainab AN, (2003) Access to online databases at private colleges and universities in Malaysia. Malaysian Journal of Library and Information Science 8(1): 91–102.
88. Urbach N, Müller B, (2012) The updated DeLone and McLean model of information systems success. In: Yogesh K. (eds) Information Systems Theory. New York: Springer, pp. 1–18.
89. Venkatesh V, Morris MG, Davis GB. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3): 425–478.
90. Vinzi VE, Trinchera L, Amato S, (2010) PLS path modeling, From foundations to recent developments and open issues for model assessment and improvement. In: Vinzi VE, Chin WW, (eds) Handbook of Partial Least Squares. Berlin; Heidelberg: Springer, pp. 47–82.
91. Wahab E, Shamsuddin A, Abdullah NH. (2016) Users’ satisfaction and return on investment (ROI) for online database library databases: A Malaysian technical university perspective. Procedia-Social and Behavioral Sciences 219: 777–783.
92. Wixom BH, Todd PA, (2005) A theoretical integration of user satisfaction and technology acceptance. Information Systems Research 16(1): 85–102.
93. Wu JH, Wang YM, (2006) Measuring KMS success: A respecification of the DeLone and McLean’s model. Information & Management 43(6): 728–739.
94. Yan Y, Zha X, Zhang J. (2014) Comparing digital libraries with virtual communities from the perspective of e-quality. Library Hi Tech 32(1): 173–189.
95. Ye G, Zhu X, Mukhopadhyay SK, (2014) Managing service quality in multiple outsourcing. International Journal of Electronic Commerce 18(3): 125–149.
96. York AC, Vance JM, (2009) Taking library instruction into the online classroom: Best practices for embedded librarians. Journal of Library Administration 49(1/2): 197–209.
97. Yun H, Kettinger WJ, Lee CC, (2012) A new open door: The smartphone’s impact on work-to-life conflict, stress, and resistance. International Journal of Electronic Commerce 16(4): 121–152.
98. Zha X, Zhang J, Yan Y. (2015) Does affinity matter? Slow effects of e-quality on information seeking in virtual communities. Library & Information Science Research 37(1): 68–76.