International Journal of Knowledge Content Development & Technology

Research Institute for Knowledge Content Development & Technology (건국대학교 지식콘텐츠연구소)
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The Social Networking Application Success Model: An Empirical Study of Facebook and Twitter

  • Ou, Carol X.J. (Dept. of Information Management, Tilburg University) ;
  • Davison, Robert M. (Dept. of Information Systems, City University of Hong Kong) ;
  • Huang, Vivian Q. (School of Management, University of Science and Technology of China)
  • Received : 2016.01.27
  • Accepted : 2016.03.22
  • Published : 2016.06.30
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Abstract

Social networking applications (SNAs) are among the fastest growing web applications of recent years. In this paper, we propose a causal model to assess the success of SNAs, grounded on DeLone and McLean's updated information systems (IS) success model. In addition to their original three dimensions of quality, i.e., system quality, information quality and service quality, we propose that a fourth dimension - networking quality - contributes to SNA success. We empirically examined the proposed research model with a survey of 168 Facebook and 149 Twitter users. The data validates the significant role of networking quality in determining the focal SNA's success. The theoretical and practical implications are discussed.

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References

  1. Adeyinka, T., & Mutula, S. (2010). A proposed model for evaluating the success of WebCT course content management system. Computers in Human Behavior, 26(6), 1795-1805. https://doi.org/10.1016/j.chb.2010.07.007
  2. Aggelidis, V., & Chatzoglou, P. (2012). Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of Biomedical Informatics, 45(3), 566-579. https://doi.org/10.1016/j.jbi.2012.02.009
  3. Ahn, I. J. (2012). The Specification of Science Education Programs in the Local Public Library: Focusing on the Programs In G-city. International Journal of Knowledge Content Development and Technology, 2(1), 17-35.
  4. Amoroso, D. L., & Cheney, P. H. (1991). Testing a causal model of end-user application effectiveness. Journal of Management Information Systems, 8(1), 63-89.
  5. Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36, 421-458. https://doi.org/10.2307/2393203
  6. Baroudi, J. J., Olson, M. H., & Ives, B. (1986). An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29(3), 232-238. https://doi.org/10.1145/5666.5669
  7. Bernroider, E. W. N. (2008). IT governance for enterprise resource planning supported by the DeLone-McLean model of information systems success. Information & Management, 45, 257-269. https://doi.org/10.1016/j.im.2007.11.004
  8. Bock, G. W., Shin, K. S., Suh, A., & Hu, A. (2009). The factors affecting success of knowledge-based systems at the organizational level. Journal of Computer Information Systems, 50(2), 95-105.
  9. Bouman, W., Hoogenboom, T., Jansen, R., Schoondorp, M., de Bruin, B., & Huizing, A. (2007). The realm of sociality: Notes on the design of social software. ICIS 2007 Proceedings, 154.
  10. Boyd, D., & Heer, J. (2006, January). Profiles as conversation: Networked identity performance on Friendster. In System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference on (Vol. 3, pp. 59c-59c). IEEE.
  11. Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008). Addressing the what and how of online services: Positioning supporting-services functionality and service quality for business-to-consumer success. Information Systems Research, 19(2), 161-181. https://doi.org/10.1287/isre.1070.0163
  12. Chen, G. (2012). The use of electronic brokerage systems in China: A modified E-commerce model. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 29(1), 99-109. https://doi.org/10.1002/cjas.213
  13. Cheung, C. M., & Lee, M. K. (2007). The structure of Web-based information systems satisfaction: An application of confirmatory factor analysis. In Web Information Systems and Technologies (pp. 257-273). Springer Berlin Heidelberg.
  14. Cheung, C. M., & Lee, M. K. (2010). A theoretical model of intentional social action in online social networks. Decision support systems, 49(1), 24-30. https://doi.org/10.1016/j.dss.2009.12.006
  15. Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), vii-xvi.
  16. Cho, V. (2010). A study on the impact of organisational learning to the effectiveness of electronic document management systems. International Journal of Technology Management, 50(2), 182-207. https://doi.org/10.1504/IJTM.2010.032272
  17. Chou, A. Y., & Chou, D. C. (2009). Information system characteristics and social network software adoption. In Proceedings of the SWDSI conference (pp. 335-343).
  18. Chung, B. Y., Skibniewski, M. J., Lucas Jr, H. C., & Kwak, Y. H. (2008). Analyzing enterprise resource planning system implementation success factors in the engineering-construction industry. Journal of Computing in Civil Engineering, 22(6), 373-382. https://doi.org/10.1061/(ASCE)0887-3801(2008)22:6(373)
  19. Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of retailing, 76(2), 193-218. https://doi.org/10.1016/S0022-4359(00)00028-2
  20. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340. https://doi.org/10.2307/249008
  21. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
  22. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
  23. DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47. https://doi.org/10.1080/10864415.2004.11044317
  24. Fang, Y. H., Chiu, C. M., & Wang, E. T. (2011). Understanding customers' satisfaction and repurchase intentions: An integration of IS success model, trust, and justice. Internet Research, 21(4), 479-503. https://doi.org/10.1108/10662241111158335
  25. Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47-56. https://doi.org/10.1016/j.ijinfomgt.2009.03.013
  26. Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2010). IS success model in e-learning context based on students' perceptions. Journal of Information Systems Education, 21(2), 173.
  27. Ganley, D., & Lampe, C. (2009). The ties that bind: Social network principles in online communities. Decision Support Systems, 47(3), 266-274. https://doi.org/10.1016/j.dss.2009.02.013
  28. Garton, L., Haythornthwaite, C., & Wellman, B. (1997). Studying online social networks. Journal of Computer-Mediated Communication, 3(1), 0-0.
  29. Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. The Journal of Strategic Information Systems, 19(3), 207-228.
  30. Halawi, L. A., McCarthy, R. V., & Aronson, J. E. (2008). An empirical investigation of knowledge management systems' success. Journal of Computer Information Systems, 48(2), 121-135.
  31. Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-learning systems success in universities. Expert Systems with Applications, 39(12), 10959-10966. https://doi.org/10.1016/j.eswa.2012.03.028
  32. Holzinger, A., Searle, G., & Wernbacher, M. (2011). The effect of previous exposure to technology on acceptance and its importance in usability and accessibility engineering. Universal Access in the Information Society, 10(3), 245-260. https://doi.org/10.1007/s10209-010-0212-x
  33. Hsu, L. L., Lai, R. S., & Weng, Y. T. (2008). Understanding the critical factors effect user satisfaction and impact of ERP through innovation of diffusion theory. International Journal of Technology Management, 43(1-3), 30-47. https://doi.org/10.1504/IJTM.2008.019405
  34. Hwang, M. I., & Xu, H. (2008). A structural model of data warehousing success. Journal of Computer Information Systems, 49(1), 48-56. https://doi.org/10.1080/08874417.2008.11645305
  35. Ifinedo, P., Rapp, B., Ifinedo, A., & Sundberg, K. (2010). Relationships among ERP post-implementation success constructs: An analysis at the organizational level. Computers in Human Behavior, 26(5), 1136-1148. https://doi.org/10.1016/j.chb.2010.03.020
  36. Java, A., Song, X., Finin, T., & Tseng, B. (2007, August). Why we twitter: Understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (pp. 56-65). ACM.
  37. Jin, X. L., Cheung, C. M., Lee, M. K., & Chen, H. P. (2009). How to keep members using the information in a computer-supported social network. Computers in Human Behavior, 25(5), 1172-1181. https://doi.org/10.1016/j.chb.2009.04.008
  38. Kavanaugh, A. L., Reese, D. D., Carroll, J. M., & Rosson, M. B. (2005). Weak ties in networked communities. The Information Society, 21(2), 119-131. https://doi.org/10.1080/01972240590925320
  39. Kettinger, W. J., & Lee, C. C. (1997). Pragmatic perspectives on the measurement of information systems service quality. Mis Quarterly, 223-240. https://doi.org/10.2307/249421
  40. Khayun, V., Ractham, P., & Firpo, D. (2012). Assessing e-excise sucess with DeLone and McLean's model. Journal of Computer Information Systems, 52(3), 31-40.
  41. Khodakarami, F., & Chan, Y. (2011, April). Evaluating the success of customer relationship management (CRM) systems. In Proceedings of the 2nd International Conference on Information Management and Evaluation, Ryerson University (pp. 253-262).
  42. Kim, C., Oh, E., Shin, N., & Chae, M. (2009). An empirical investigation of factors affecting ubiquitous computing use and U-business value. International Journal of Information Management, 29(6), 436-448. https://doi.org/10.1016/j.ijinfomgt.2009.06.003
  43. Kim, G. M., & Kim, E. S. (2008). An exploratory study of factors influencing ASP (application service provider) success. Journal of Computer Information Systems, 48(3), 118-124.
  44. Ku, E. C., & Fan, Y. W. (2009). Knowledge sharing and customer relationship management in the travel service alliances. Total Quality Management, 20(12), 1407-1421. https://doi.org/10.1080/14783360903248880
  45. Lai, J. Y., & Yang, C. C. (2009). Effects of employees' perceived dependability on success of enterprise applications in e-business. Industrial Marketing Management, 38(3), 263-274. https://doi.org/10.1016/j.indmarman.2008.01.002
  46. Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004). Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context. Journal of the academy of marketing science, 32(3), 293-311. https://doi.org/10.1177/0092070304263330
  47. Landrum, H., Prybutok, V. R., & Zhang, X. (2010). The moderating effect of occupation on the perception of information services quality and success. Computers & Industrial Engineering, 58(1), 133-142. https://doi.org/10.1016/j.cie.2009.09.006
  48. Lea, B. R., Yu, W. B., Maguluru, N., & Nichols, M. (2006). Enhancing business networks using social network based virtual communities. Industrial Management & Data Systems, 106(1), 121-138. https://doi.org/10.1108/02635570610641022
  49. Lee, H., Choi, S. Y., & Kang, Y. S. (2009). Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety. Expert Systems with Applications, 36(4), 7848-7859. https://doi.org/10.1016/j.eswa.2008.11.005
  50. Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective. Interacting with computers, 21(5-6), 385-392. https://doi.org/10.1016/j.intcom.2009.06.004
  51. Lee, S. Y. T., Kim, H. W., & Gupta, S. (2009). Measuring open source software success. Omega, 37(2), 426-438. https://doi.org/10.1016/j.omega.2007.05.005
  52. Leung, Z. C., Cheung, C. F., Chan, K. T., & Lo, K. H. (2012). Effectiveness of knowledge management systems in social services: Food assistance project as an example. Administration in Social Work, 36(3), 302-313. https://doi.org/10.1080/03643107.2011.599479
  53. Lewis, B. R., Templeton, G. F., & Byrd, T. A. (2005). A methodology for construct development in MIS research. European Journal of Information Systems, 14(4), 388-400. https://doi.org/10.1057/palgrave.ejis.3000552
  54. Li, J., & Rao, H. R. (2010). Twitter as a rapid response news service: An exploration in the context of the 2008 China earthquake. The Electronic Journal of Information Systems in Developing Countries, 42.
  55. Li, S., Liu, Y., & Bandyopadhyay, S. (2010). Network effects in online two-sided market platforms: A research note. Decision Support Systems, 49(2), 245-249. https://doi.org/10.1016/j.dss.2010.02.004
  56. Lin, H. F. (2008). Antecedents of virtual community satisfaction and loyalty: An empirical test of competing theories. Cyberpsychology & behavior, 11(2), 138-144. https://doi.org/10.1089/cpb.2007.0003
  57. Lin, H. F. (2010). An investigation into the effects of IS quality and top management support on ERP system usage. Total Quality Management, 21(3), 335-349. https://doi.org/10.1080/14783360903561761
  58. Marloes, J. T. C., Arjan, J., Van, W., Erik, M., & Van, R. (2008). Performance outcomes and success factors of vendor managed inventory. Supply Chain Management: An International Journal, 13(6), 406-414. https://doi.org/10.1108/13598540810905660
  59. McGill, T., & Klobas, J. (2008). User developed application success: Sources and effects of involvement. Behaviour & Information Technology, 27(5), 407-422. https://doi.org/10.1080/01449290601110715
  60. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192
  61. Mun, H., Yun, H., Kim, E., Hong, J., & Lee, C. (2010). Research on factors influencing intention to use DMB using extended IS success model. Information Technology Management, 11, 143-155. https://doi.org/10.1007/s10799-010-0073-2
  62. Murnan, C. A. (2006, November). Expanding communication mechanisms: They're not just e-mailing anymore. In Proceedings of the 34th annual ACM SIGUCCS fall conference: expanding the boundaries (pp. 267-272). ACM.
  63. Nyagowa, H., Ocholla, D., & Mutula, S. (2011, April). Construction and validation of eSchool success model. In International Conference on Information Management and Evaluation (p. 572). Academic Conferences International Limited.
  64. Ozkan, S., & Koseler, R. (2009). Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296. https://doi.org/10.1016/j.compedu.2009.06.011
  65. Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), 236-263. https://doi.org/10.1057/ejis.2008.15
  66. Petter, S., & Fruhling, A. (2011). Evaluating the success of an emergency response medical information system. International journal of medical informatics, 80(7), 480-489. https://doi.org/10.1016/j.ijmedinf.2011.03.010
  67. Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of management, 12(4), 531-544. https://doi.org/10.1177/014920638601200408
  68. Prybutok, V. R., Zhang, X., & Ryan, S. D. (2008). Evaluating leadership, IT quality, and net benefits in an e-government environment. Information & Management, 45(3), 143-152. https://doi.org/10.1016/j.im.2007.12.004
  69. Richter, A., & Koch, M. (2008, May). Functions of social networking services. In Proc. Intl. Conf. on the Design of Cooperative Systems (pp. 87-98).
  70. Rouibah, K., Hamdy, H. I., & Al-Enezi, M. Z. (2009). Effect of management support, training, and user involvement on system usage and satisfaction in Kuwait. Industrial Management & Data Systems, 109(3), 338-356. https://doi.org/10.1108/02635570910939371
  71. Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information & Management, 45(6), 376-386. https://doi.org/10.1016/j.im.2008.06.002
  72. Sambasivan, M., Patrick, W. G., & Che, R. R. (2010). User acceptance of a G2B system: A case of electronic procurement system in Malaysia. Internet Research, 20(2), 169-187. https://doi.org/10.1108/10662241011032236
  73. Santa, R., Ferrer, M., Bretherton, P., & Hyland, P. (2009). The necessary alignment between technology innovation effectiveness and operational effectiveness. Journal of Management & Organization, 15(02), 155-169. https://doi.org/10.1017/S1833367200002765
  74. Schaupp, L. C., Belanger, F., & Fan, W. (2009). Examining the success of websites beyond e-commerce: An extension of the IS success model. Journal of Computer Information Systems, 49(4), 42-52.
  75. Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information systems research, 8(3), 240-253. https://doi.org/10.1287/isre.8.3.240
  76. Seddon, P. B., Calvert, C., & Yang, S. (2010). A multi-project model of key factors affecting organizational benefits from enterprise systems. MIS quarterly, 34(2), 305-328. https://doi.org/10.2307/20721429
  77. Straub, D., Boudreau, M. C., & Gefen, D. (2004). Validation guidelines for IS positivist research. The Communications of the Association for Information Systems, 13(1), 63.
  78. Teo, T. S., Srivastava, S. C., & Jiang, L. (2008). Trust and electronic government success: An empirical study. Journal of management information systems, 25(3), 99-132. https://doi.org/10.2753/MIS0742-1222250303
  79. Thibaut, J. W., & Kelley, H. H. (1959). The social psychology of groups. Oxford, England: John Wiley.
  80. Tonkin, E., Pfeiffer, H. D., & Tourte, G. (2012). Twitter, information sharing and the London riots?. Bulletin of the American Society for Information Science and Technology, 38(2), 49-57. https://doi.org/10.1002/bult.2012.1720380212
  81. Wang, H. C., & Chiu, Y. F. (2011). Assessing e-learning 2.0 system success. Computers & Education, 57(2), 1790-1800. https://doi.org/10.1016/j.compedu.2011.03.009
  82. Wang, J., Solan, D., & Ghods, A. (2010). Distance learning success-a perspective from socio-technical systems theory. Behaviour & Information Technology, 29(3), 321-329. https://doi.org/10.1080/01449290903544645
  83. Wang, W., Butler, J. E., Hsieh, J. P. A., & Hsu, S. H. (2008). Innovate with complex information technologies: A theoretical model and empirical examination. Journal of Computer Information Systems, 49(1), 27-36. https://doi.org/10.1080/08874417.2008.11645303
  84. Wang, Y. S. (2008). Assessing e-commerce systems success: A respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529-557. https://doi.org/10.1111/j.1365-2575.2007.00268.x
  85. Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717-733. https://doi.org/10.1016/j.giq.2007.06.002
  86. Wellman, B. (2005). Community: From neighborhood to network. Communications of the ACM, 48(10), 53-55. https://doi.org/10.1145/1089107.1089137
  87. Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean's model. Information & Management, 43(6), 728-739. https://doi.org/10.1016/j.im.2006.05.002
  88. Yoon, C. (2009). The effects of organizational citizenship behaviors on ERP system success. Computers in Human Behavior, 25(2), 421-428. https://doi.org/10.1016/j.chb.2008.10.004
  89. Yoon, C., & Kim, S. (2009). Developing the causal model of online store success. Journal of Organizational Computing and Electronic Commerce, 19(4), 265-284. https://doi.org/10.1080/10919390903262644
  90. Zhou, T., Lu, Y. B., & Wang, B. (2009). The relative importance of website design quality and service quality in determining consumers' online repurchase behavior. Information Systems Management, 26(4), 327-337. https://doi.org/10.1080/10580530903245663