Determinants of continued usage intention of electronic human resource management

  • Authors

    • Mohd-Yusoff Yusliza Universiti Malaysia Terengganu
    • Jing Yi Yong INTI International College Penang
    • T Ramayah Universiti Sains Malaysia
    • M. Imran Tanveer Universiti Malaysia Terengganu
    • Zikri Muhammad Universiti Malaysia Terengganu
    2018-12-05
    https://doi.org/10.14419/ijet.v7i4.19641
  • Attitude, Continuance usage intention, E-HRM, Malaysia, Technology Continuance Theory.

  • This study examines on a model extension of the attitude towards using Electronic Human Resource Management (E-HRM) by linking attitude to E-HRM continuance usage intention. Technology Continuance Theory (TCT) is adapted and integrated with Technology Acceptance Model (TAM), Expectation Confirmation Model (ECM), and Cognitive Model (COG) and empirical findings from prior studies about continued use of information systems. Research hypotheses derived from this model are empirically validated using the responses to a survey on E-HRM usage, collected from 193 E-HRM users. Based on the valid response collected from a survey questionnaire, Partial Least Square (PLS) was employed to examine the research model. The results indicated that the perceived usefulness, attitude and satisfaction were positively related to continuance usage intention of E-HRM. Perceived ease of use, satisfaction and perceived usefulness were positively related to attitude. Perceived usefulness and confirmation were also found to be positively related to satisfaction. Perceived ease of use and confirmation were found to be positively related to perceived usefulness. Future empirical studies based on the model studied in this paper should help identify areas with significant impact on users’ continuance usage intention towards using E-HRM technology in a fast-moving environment. This study is a pioneer study of continuance usage intention with E-HRM, especially of the relationship between continuance usage intention and its determinants.

     

     

  • References

    1. [1] M. Karakanian, Are Human Resources Departments Ready for E-HR? Information Systems Management, 2000, Vol. 17, No. 4, pp.35-39. https://doi.org/10.1201/1078/43193.17.4.20000901/31250.6.

      [2] J.H. Marler, E. Parry, Human resource management, strategic involvement and e-HRM technology, The International Journal of Human Resource Management, 2016, Vol. 27, No. 19, pp.2233-2253. https://doi.org/10.1080/09585192.2015.1091980.

      [3] A. Mishra, I. Akman, Information technology in human resource management: An empirical assessment, Public Personnel Management, 2010, Vol. 39, No. 3, pp.271-290. https://doi.org/10.1177/009102601003900306.

      [4] V.Y. Haines, G. Lafleur, Information technology usage and human resource roles and effectiveness, Human Resource Management, 2004, Vol. 47, No. 3, pp.525-540. https://doi.org/10.1002/hrm.20230.

      [5] E. Parry, An examination of E-HRM as a means to increase the value of the HR function, The International Journal of Human Resource Management, 2011, Vol. 22, No. 5, pp.1146-1162. https://doi.org/10.1080/09585192.2011.556791.

      [6] J. Marler, S. Fisher, An evidence-based review of e-HRM and strategic human resource management, Human Resource Management Review, 2013, Vol. 23, No. 1, pp.18-36. https://doi.org/10.1016/j.hrmr.2012.06.002.

      [7] S. Strohmeier, Research in e-HRM: Review and implications, Human Resource Management Review, 2007, Vol. 17, No. 1, pp.19-37. https://doi.org/10.1016/j.hrmr.2006.11.002.

      [8] M.R. Olivas-Lujan, J. Ramirez, L. Zapata-Cantu, and E-HRM in Mexico: Adapting innovations for global competitiveness, International Journal of Manpower, 2007, Vol. 28, No. 5, pp.418-434.

      [9] X. Ma, A framework of E-HRM information systems in fashion enterprise'. Paper presented at 2010 Second International Conference on Information Technology and Computer Science, 24-25 July (2010), Kiev, Ukraine, pp.305-308. https://doi.org/10.1109/ITCS.2010.81.

      [10] P.S. Hempel, Preparing the HR profession for technology and information work, Human Resource Management, 2004, Vol. 43, No. 2-3, pp.163-177. https://doi.org/10.1002/hrm.20013.

      [11] P. Buckley, K. Minnette, D. Joy, J. Michaelis, The use of an automated employment recruiting and screening system for temporary professional employees: A case study, Human Resource Management, 2004, Vol. 43, No. 2/3, pp.233-241. https://doi.org/10.1002/hrm.20017.

      [12] S.D. Gardner, D.P. Lepak, K.M. Bartol, Virtual HR: The impact of information technology on the human resource professional, Journal of Vocational Behavior, 2003, Vol. 63, No. 2, pp.159-179. https://doi.org/10.1016/S0001-8791(03)00039-3.

      [13] E. Parry, S. Tyson, Desired goals and actual outcomes of e-HRM, Human Resource Management Journal, 2011, Vol. 21, No. 3, pp.335-354. https://doi.org/10.1111/j.1748-8583.2010.00149.x.

      [14] S. Shrivastava, J.B. Shaw, Liberating HR through technology, Human Resource Management, 2003, Vol. 42, No. 3, pp.201-222. https://doi.org/10.1002/hrm.10081.

      [15] D.L. Stone, E.F. Stone-Romero, K. Lukaszewski, The functional and dysfunctional consequences of human resource information technology for organizations and their employees, in Stone, D. (Eds.), Advances in human performance and cognitive engineering research, JAI Press, Greenwich, 2003, pp.37-68.

      [16] D.S. Chapman, J. Webster, The use of technologies in the recruiting, screening, and selection processes for job candidates, International Journal of Selection and Assessment, 2003, Vol. 11, pp.113-120. https://doi.org/10.1111/1468-2389.00234.

      [17] R.L. Cardy, J.S. Miller, eHR and performance management: A consideration of positive potential and the dark side, in Gueutal, H.G. and Stone, D.L. (Eds.), The brave new world of eHR: Human resources management in the digital age. San Francisco, USA: Jossey Bass, pp.38-165, 2005.

      [18] T.S.H. Teo, L.G. Soon, S.A. Fedric, Adoption and impact of human resource information systems (HRIS), Research and Practice in Human Resource Management, 2001, Vol. 9, No. 1, pp.101-117.

      [19] D.L. Stone, K. Lukaszewski, An expanded model of the factors affecting the acceptance and effectiveness of electronic human resource management systems, Human Resource Management Review, 2009, Vol. 19, No. 2, pp.134-143. https://doi.org/10.1016/j.hrmr.2008.11.003.

      [20] N. Erdogmus, M. Esen, An investigation of the effects of technology readiness on technology acceptance in e-HRM, Procedia Social and Behavioral Sciences, 2011, Vol. 24, 487-495. https://doi.org/10.1016/j.sbspro.2011.09.131.

      [21] G. Martin, M. Reddington, Theorizing the links between E-HR and strategic HRM: A model, case illustration and reflections, The International Journal of Human Resource Management, 2010, Vol. 21, No. 10, pp.1553-1574. https://doi.org/10.1080/09585192.2010.500483.

      [22] D. Grant, S. Newell, Realizing the strategic potential of E-HRM, Journal of Strategic Information Systems, 2013, Vol. 22, No. 3, pp.187-192. https://doi.org/10.1016/j.jsis.2013.07.001.

      [23] R. Burbach, and T. Royle, Institutional determinants of E-HRM diffusion success, Employee Relations, 2014, Vol. 36, No. 4, pp.354-375. https://doi.org/10.1108/ER-07-2013-0080.

      [24] H.J.M. Ruel, T.V. Bondarouk, M. van der Velde, The contribution of e-HRM to HRM effectiveness: Results from a quantitative study in a Dutch Ministry, Employee Relations, 2007, Vol. 29, No. 3, pp.280-291. https://doi.org/10.1108/01425450710741757.

      [25] T. Bondarouk, C. Brewster, Conceptualising the future of HRM and technology research, The International Journal of Human Resource Management, 2016, Vol. 27, No. 21, pp.2652-2671. https://doi.org/10.1080/09585192.2016.1232296.

      [26] D.L. Stone, E.F. Stone-Romero, K. Lukaszewski, Factors affecting the acceptance and effectiveness of electronic human resource systems, Human Resource Management Review, 2006, Vol. 16, No. 2, pp.229-244. https://doi.org/10.1016/j.hrmr.2006.03.010.

      [27] J. Gregeby, M. Hugosson, What about agency in e-HRM research? In Electronic HRM in the Smart Era, pp.261-285, 2017.

      [28] T. Bondarouk, H.J.M. Ruel, Electronic human resource management: Challenges in the digital era, The International Journal of Human Resource Management, 2009, Vol. 20, No. 3, pp.503-514. https://doi.org/10.1080/09585190802707235.

      [29] J.P. Heikkila, A. Smale, The effects of ‘language standardization' on the acceptance and use of E-HRM systems in foreign subsidiaries, Journal of World Business, 2011, Vol. 46, No. 3 pp.305-313. https://doi.org/10.1016/j.jwb.2010.07.004.

      [30] R. Schalk, V. Timmerman, S. van den Heuvel, How strategic considerations influence decision making on e-HRM applications, Human Resource Management Review, 2013, Vol. 23, No. 1, pp.84-92. https://doi.org/10.1016/j.hrmr.2012.06.008.

      [31] S. Thiruselvi, M.Y. Yusliza, T. Ramayah, O. Nur Zahiyah, Continuance intention usage towards E-HRM in Proceedings Book of ICEFMO, Malaysia Handbook on the Economic, Finance and Management Outlooks, 2013, pp.674-687.

      [32] M.Y. Yusliza, T. Ramayah, Factors influencing attitude towards using electronic HRM' in Proceedings of the second International Conference on Business and Economic Research, 14-16 March, (2011a), Kedah, Malaysia.

      [33] C.V. Geffen, H. Ruel, T. Bondarouk, E-HRM in MNCs: What can be learned from a review of the IS literature, European Journal of International Management, 2013, Vol. 7, No. 4, pp.373-392. https://doi.org/10.1504/EJIM.2013.055278.

      [34] R. Burbach, T. Royle, Levels of E-HRM adoption in subsidiaries of a US multinational corporation: The mediating role of power, politics and institutions, European Journal of International Management, 2013, Vol. 7, No. 4, pp.432-449. https://doi.org/10.1504/EJIM.2013.055281.

      [35] T. Bondarouk, E. Parry, E. Furtmueller, Electronic HRM: Four decades of research and adoption and consequences, The International Journal of Human Resource Management, 2017, Vol. 28, No. 1, pp.98-131. https://doi.org/10.1080/09585192.2016.1245672.

      [36] T. Bondarouk, H. Ruel, B. van der Heijden, E-HRM effectiveness in a public sector organization: A multi-stakeholder perspective, International Journal of Human Resource Management, 2009, Vol. 20, No. 3, pp.578-590. https://doi.org/10.1080/09585190802707359.

      [37] M. Voermans, M. van Veldhoven, Attitude towards E-HRM: An empirical study at Philips, Personnel Review, 2007, Vol. 36, No. 6, pp.887-902. https://doi.org/10.1108/00483480710822418.

      [38] M.Y. Yusliza, T. Ramayah, Explaining the intention to use electronic HRM among HR professionals: Results from a pilot study. Australian Journal of Basic and Applied Sciences, 2011b, Vol. 5, No. 8, pp.489-497. https://doi.org/10.1016/j.sbspro.2012.09.1191.

      [39] M.Y. Yusliza, T. Ramayah, Determinants of attitude towards E-HRM: An empirical study among HR professionals, Procedia-Social and Behavioral Sciences, 2012a, Vol. 57, pp.312-319.

      [40] M.Y. Yusliza, T. Ramayah, I. Haslindar, E-HRM: A proposed model based on technology acceptance model, African Journal of Business Management, 2010, Vol. 4, No. 13, pp.3039-3045.

      [41] M.Y. Yusliza, T. Ramayah, The influence of HR roles, ease of use and usefulness on attitude towards using E-HRM in Proceedings of the 2nd International Conference on Arts, Social Sciences & Technology, 3-5 March (2012b) Penang, Malaysia.

      [42] C. Liao, P. Palvia, and J.L. Chen, Information technology adoption behaviour life cycle: Toward a technology continuance theory, International Journal of Information Management, 2009, Vol. 29, No. 4, pp.309-320. https://doi.org/10.1016/j.ijinfomgt.2009.03.004.

      [43] F.D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technologies, MIS Quarterly, 1989, Vol. 13, No. 3, pp.319-340. https://doi.org/10.2307/249008.

      [44] A. Bhattacherjee, An empirical analysis of the antecedents of electronic commerce service continuance, Decision Support Systems, 2001a, Vol. 32, No. 2, pp.201-214. https://doi.org/10.1016/S0167-9236(01)00111-7.

      [45] R.L. Oliver, A cognitive model of the antecedents and consequences of satisfaction decisions, Journal of Marketing Research, 1980, Vol. 17, No. 4, pp.460-469. https://doi.org/10.2307/3150499.

      [46] N. Iqbal, M. Ahmad, M. Allen, M.M. Raziq, Does e-HRM improve labour productivity? A study of commercial bank workplaces in Pakistan, Employee Relations, 2018, Vol. 40, No. 2, pp.281-297. https://doi.org/10.1108/ER-01-2017-0018.

      [47] D.P. Lepak, S.A. Snell, Virtual HR: Strategic human resource management in the 21st Century. Human Resource Management Review, 1998, Vol. 8, No. 3, pp.215-234. https://doi.org/10.1016/S1053-4822(98)90003-1.

      [48] A. Bhattacherjee, Understanding information systems continuance: An expectation-confirmation model, MIS Quarterly, 2001b, Vol. 25, No. 3, pp.351-370. https://doi.org/10.2307/3250921.

      [49] A. Tiwana, A. Bush, Continuance in expertise-sharing networks: A social perspective, IEEE Transactions on Engineering Management, 2005, Vol. 52 No. 1, pp.85-101. https://doi.org/10.1109/TEM.2004.839956.

      [50] W. Wang, E.W.T. Ngai, H. Wei, Explaining instant messaging continuance intention: The role of personality, International Journal of Human-Computer Interaction, 2012, Vol. 28, No. 8, pp.500-510. https://doi.org/10.1080/10447318.2011.622971.

      [51] K. Kim, J. Hwang, H. Zo, H. Lee, Understanding users' continuance intention toward smartphone augmented reality applications, Information Development, 2014, No. 32, Vol. 2, pp.1-14.

      [52] A. Susanto, Y. Chang, Y. Ha, Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model, Industrial Management & Data Systems, 2016, Vol. 116, No. 3, pp.508-525. https://doi.org/10.1108/IMDS-05-2015-0195.

      [53] S. Panos, V. Bellou, Maximizing e-HRM outcomes: A moderated mediation path, Management Decision, 2016, Vol. 54, No. 5, pp.1088-1109. https://doi.org/10.1108/MD-07-2015-0269.

      [54] T. Zhou, Understanding continuance usage of mobile sites, Industrial Management & Data Systems, 2013, Vol. 113, No. 9, pp.1286 -1299. https://doi.org/10.1108/IMDS-01-2013-0001.

      [55] L. GAO, X. Bai, An empirical study on continuance intention of mobile social networking services, Asia Pacific Journal of Marketing and Logistics, 2014, Vol. 26, No. 2, pp.168-189. https://doi.org/10.1108/APJML-07-2013-0086.

      [56] I.C. Chang, C.C. Liu, K.C. Chen, The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games, Internet Research, 2014, Vol. 24, No. 1, pp.21-45. https://doi.org/10.1108/IntR-02-2012-0025.

      [57] T. Santhanamery, T. Ramayah, The effect of personality traits on user continuance usage intention of e-filing system, Journal of Economics, Business and Management, 2013, Vol. 1, No. 1, pp.25-29.

      [58] H. Cao, J. Jiang, L.B. Oh, H. Li, X. Liao, Z. Chen, A Maslow’s hierarchy of needs analysis of social networking service continuance, Journal of Service Management, 2013, Vol. 24, No. 2, pp.170-190. https://doi.org/10.1108/09564231311323953.

      [59] C.C. Chang, Exploring the determinants of e-learning systems continuance intention in academic libraries, Library Management, 2013, Vol. 34, No. 1/2, pp.40-55. https://doi.org/10.1108/01435121311298261.

      [60] Y.T. Chen, T.Y. Chou, Exploring the continuance intentions of consumers for B2C online shopping: Perspectives of fairness and trust, Online Information Review, 2012, Vol. 36, No. 1, pp.104-125. https://doi.org/10.1108/14684521211209572.

      [61] G.K. Sahi, S. Gupta, Predicting customers' behavioural intentions toward ATM services. Journal of Indian Business Research, 2013, Vol. 5, No. 4, pp.251-270. https://doi.org/10.1108/JIBR-10-2012-0085.

      [62] A.F. Cakmak, S. Benk, and T. Budak, The acceptance of tax automation system (VEDOP) by employees: Factorial validation of Turkish adapted Technology Acceptance Model (TAM), International Journal of Economics and Finance, 2011, Vol. 3, No. 6, pp.107-117. https://doi.org/10.5539/ijef.v3n6p107.

      [63] V. Venkatesh, F.D. Davis, A theoretical expansion of the technology acceptance model: four longitudinal field studies, Management Science, 2000, Vol. 46, No. 2, pp.186-204. https://doi.org/10.1287/mnsc.46.2.186.11926.

      [64] A.D. Beldad, S.M. Hegner, Expanding the Technology Acceptance Model with the inclusion of trust, social influence, and health valuation to determine the predictors of German users’ willingness to continue using a fitness app: A structural equation modeling approach, International Journal of Human–Computer Interaction, 2017, Vol. 33, No. 12, pp.1-12.

      [65] S.M.F. Bukhari, A. Ghoneim, C. Dennis, B. Jamjoom, The antecedents of travellers' e-satisfaction and intention to buy airline tickets online: A conceptual model, Journal of Enterprise Information Management, 2013, Vol. 26, No. 6, pp.624-641. https://doi.org/10.1108/JEIM-07-2013-0040.

      [66] M. Kim, H. Qu, Travelers' behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 2014, Vol. 26, No. 2, pp.225-245. https://doi.org/10.1108/IJCHM-09-2012-0165.

      [67] M. Letchumanan, B. Muniandy, Migrating to e-book: A study on perceived usefulness and ease of use, Library Hi Tech News, 2013, Vol. 30, No. 7, and pp.10-16.

      [68] J. Lu, Are personal innovativeness and social influence critical to continue with mobile commerce, Internet Research, 2014, Vol. 24, No. 2, pp.1-39. https://doi.org/10.1108/IntR-05-2012-0100.

      [69] C. Morosan, toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel, International Journal of Contemporary Hospitality Management, 2014, Vol. 26, No. 2, pp.246-271.

      [70] J.P. Tsai, C.F. Ho, Does design matter. Affordance perspective on smartphone usage, Industrial Management & Data Systems, 2013, Vol. 113, No. 9, pp.1248-1269. https://doi.org/10.1108/IMDS-04-2013-0168.

      [71] B. Wu, C. Zhang, Empirical study on continuance intentions towards E-learning 2.0 systems, Behaviour & Information Technology, 2014, Vol. 33, No. 10, pp.1027-1038. https://doi.org/10.1080/0144929X.2014.934291.

      [72] G.S. Weng, S. Zailani, M. Iranmanesh, S.S. Hyun, Mobile taxi booking application service’s continuance usage intention by users, Transportation Research Part D: Transport and Environment, 2017, Vol. 57, pp.207-216. https://doi.org/10.1016/j.trd.2017.07.023.

      [73] M.Y. Yusliza, T. Ramayah, Electronic human resource management (E-HRM) and human resource (HR) competencies' in Proceedings of the International Conference on Information and Communication Technology. 4-5 October, (2011c), Singapore.

      [74] M.Y. Yusliza, T. Ramayah, Electronic human resource management (e-HRM) and human resource (HR) competencies: Some evidence from an emerging market. International Journal of Information and Communication Technology, 2012c, Vol. 4, No. 1, pp.27-39. https://doi.org/10.1504/IJICT.2012.045746.

      [75] B. Wu, X. Chen, Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model, Computers in Human Behavior, 2017, Vol. 67, pp.221-232. https://doi.org/10.1016/j.chb.2016.10.028.

      [76] C.H. Ho, Continuance intention of e-learning platform: Toward an integrated model. International Journal of Electronic Business Management, 2010, Vol. 8, No. 3, pp.206-216.

      [77] M. Arif, K. Ameen, M. Rafiq, Assessing distance education students satisfaction with web-based services: A Pakistani’s perspective, Online Information Review, 2017, Vol. 41, No. 2, pp.202-218. https://doi.org/10.1108/OIR-07-2016-0172.

      [78] S.C. Chen, H.H. Chen, M.F. Chen, Determinants of satisfaction and continuance intention towards self-service technologies, Industrial Management & Data Systems, 2009, Vol. 109, No. 9, pp.1248-1263. https://doi.org/10.1108/02635570911002306.

      [79] J.E. Tang, T.I. Tang, C.H. Chiang, Blog learning: Effects of users' usefulness and efficiency towards continuance intention. Behaviour & Information Technology, 2014, Vol. 33, No. 1, pp.36-50. https://doi.org/10.1080/0144929X.2012.687772.

      [80] H. Chi, The application of Technology Acceptance Model and Theory of Reasoned Action on the Molecular gastronomy message, Journal of Global Business Management, 2011, Vol. 7, No. 2, pp.1-11.

      [81] Y.H. Lee, Y.C. Hsieh, and Y.H. Chen, An investigation of employees' use of e-learning systems: Applying the Technology Acceptance Model, Behaviour & Information Technology, 2013, Vol. 32, No. 2, pp.173-189. https://doi.org/10.1080/0144929X.2011.577190.

      [82] Y.Y. Chen, H.L. Huang, Y.C. Hsu, H.C. Tseng, Y.C. Lee, Conformation of expectations and satisfaction with Internet shopping: The role of internet self-efficacy, Computer and Information Science, 2010, Vol. 3, No. 3, pp.14-23.

      [83] T. Al-Maghrabi, C. Dennis, What drives consumers' continuance intention to e shopping? Conceptual framework and managerial implications in the case of Saudi Arabia, International Journal of Retail & Distribution Management, 2011, Vol. 39, No. 12, pp.899-926. https://doi.org/10.1108/09590551111183308.

      [84] T. Al-Maghrabi, C. Dennis, S.V. Halliday, Antecedents of continuance intentions towards e-shopping: The case of Saudi Arabia, Journal of Enterprise Information Management, 2011, Vol. 24, No. 1, pp.85-111. https://doi.org/10.1108/17410391111097447.

      [85] K. Carillo, E. Scornavacca, S. Za, The role of media dependency in predicting continuance intention to use ubiquitous media systems, Information & Management, 2017, Vol. 54 No. 3, pp.317-335. https://doi.org/10.1016/j.im.2016.09.002.

      [86] Y.R. Yen, B.Y. Tsai, Exploring the influential factors toward the continuance intention of on-line books purchase, International Journal of Organizational Innovation, 2011, Vol. 3, No. 4, pp.140-158.

      [87] W.L. Shiau, P.Y.K. Chau, Understanding blog continuance: A model comparison approach, Industrial Management & Data Systems, 2012, Vol. 112, No. 4, pp.663-682. https://doi.org/10.1108/02635571211225530.

      [88] Q. Jia, Y. Guo, S.J. Barnes, Enterprise 2.0 post-adoption: Extending the information system continuance model based on the technology-Organization-environment framework, Computers in Human Behavior, 2017, Vol. 67, pp.95-105. https://doi.org/10.1016/j.chb.2016.10.022.

      [89] J.E. Tang, C.H. Chiang, Integrating experiential value of blog use into the Expectation-Confirmation Theory Model, Social Behavior and Personality, 2010, Vol. 38, No. 10, pp.1377-1390. https://doi.org/10.2224/sbp.2010.38.10.1377.

      [90] I.A. Ambalov, A meta-analysis of IS continuance: An evaluation of the expectation-confirmation model, Telematics and Informatics, 2018, https://doi.org/10.1016/j.tele.2018.03.016.

      [91] W.L. Shiau, M.M. Luo, Continuance intention of blog users: The impact of perceived enjoyment, habit, user involvement and blogging time, Behaviour & Information Technology, 2013, Vol. 32, No. 6, pp.570-583. https://doi.org/10.1080/0144929X.2012.671851.

      [92] Y.P. Chang, D.H. Zhu, The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China, Computers in Human Behavior, 2012, Vol. 28, No. 3, pp.995-1001. https://doi.org/10.1016/j.chb.2012.01.001.

      [93] B. Kim, An empirical investigation of mobile data service continuance: Incorporating the Theory of Planned Behavior into expectation-confirmation model, Expert Systems with Applications, 2010, Vol. 37, No. 10, pp.7033-7039. https://doi.org/10.1016/j.eswa.2010.03.015.

      [94] J.H. Wu, Y.M. Wang, Measuring ERP success: The ultimate users' view, International Journal of Operations & Production Management, 2014, Vol. 26, No. pp.882-903.

      [95] J.S. Chiou, The antecedents of consumers' loyalty toward Internet service providers. Information & Management, 2004, Vol. 41, No. 6, pp.685-695. https://doi.org/10.1016/j.im.2003.08.006.

      [96] J. Carlson, A. O'Cass, Exploring the relationships between e-service quality, satisfaction, attitudes and behaviours in content-driven e-service web sites, The Journal of Services Marketing, 2010, Vol. 24 No. 2, pp.112-127. https://doi.org/10.1108/08876041011031091.

      [97] S. Hong, J. Kim, H. Lee, Antecedents of use-continuance in information systems: Toward an integrative view, The Journal of Computer Information System, 2008, Vol. 48, No. 3, pp. 61-74.

      [98] A.K.M. Najmul Islam, The determinants of the post-adoption satisfaction of educators with an e-learning system, Journal of Information Systems Education, 2011, Vol. 22, No. 4, pp.319-331.

      [99] H.S. Chiang, Continuous usage of social networking sites: The effect of innovation and gratification attributes, Online Information Review, 2013, Vol. 37, No. 6, pp.851-871. https://doi.org/10.1108/OIR-08-2012-0133.

      [100] E. Basak, F. Calisir, An empirical study on factors affecting continuance intention of using Facebook, Computers in Human Behavior, 2015, Vol. 48, pp.181-189. https://doi.org/10.1016/j.chb.2015.01.055.

      [101] C.L. Hsu, C.C. Yu, C.C. Wu, Exploring the continuance intention of social networking websites: An empirical research, Information Systems and e-Business Management, 2014, Vol, 12, No. 2, pp.139-163. https://doi.org/10.1007/s10257-013-0214-3.

      [102] I. Rodríguez-Ardura, A. Meseguer-Artola, What leads people to keep on e-learning? An empirical analysis of users' experiences and their effects on continuance intention. Interactive Learning Environments, 2016, Vol. 24, No. 6, pp.1030-1053. https://doi.org/10.1080/10494820.2014.926275.

      [103] F.D. Davis, Technology Acceptance Model for empirically testing new end-user information systems: Theory and results, Boston: Massachusetts Institute of Technology, 1986.

      [104] W.W. Chin, How to write up and report PLS analyses', in Esposito Vinzi, V. et al. (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Application, Springer. Germany, pp.645-689, 2010.

      [105] C.M. Ringle, S. Wende, A. Will, SmartPLS 2.0 M3 (beta), Hamburg, Retrieved from http://www.smartpls.de. 2005.

      [106] W.W. Chin, P. Newstead, Structural equation modeling analysis with small samples using partial least squares, in Hoyle, R. (Eds.), Statistical Strategies for Small Sample Research, CA: Sage, Thousand Oaks, pp.307-341, 1999.

      [107] F.D. Davis, User acceptance of information technology: System characteristics, user perceptions, and behavioural impacts, International Journal of Man-Machine Studies, 1993, Vol. 38, No. 3, pp.475-487. https://doi.org/10.1006/imms.1993.1022.

      [108] W.W. Chin, B.L. Marcolin, P.R. Newsted, A partial least squares latent variable modeling technique for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 2003, Vol. 14, No. 2, pp.189-217. https://doi.org/10.1287/isre.14.2.189.16018.

      [109] S.W. Chou, Why do members contribute knowledge to online communities? Online Information Review, 2010, Vol. 34, No. 6, pp.829-854. https://doi.org/10.1108/14684521011099360.

      [110] J.F. Hair, W.C. Black, B.J. Babin, R.E. Anderson, Multivariate data analysis, Upper Saddle River: Prentice-Hall, 2010.

      [111] C. Fornell, D.F. Larcker, Structural equation models with unobservable variables and measurement errors, Journal of Marketing Research, 1981, Vol. 18, No. 2, pp.39-50.J.F.

      [112] Hair, G.T.M. Hult, C.M. Ringle, M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage, 2014.

      [113] M.J. Sanchez-Franco, J.L. Roldan, Web acceptance and usage model: A comparison between goal-directed and experiential web users, Internet Research, 2005, Vol. 15, No. 1, pp.21-48. https://doi.org/10.1108/10662240510577059.

      C. Liao, J.L. Chen, D.C. Yen, Theory of planning behaviour (TPB) and customer satisfaction in the continued use of e-services: An integrated model, Computers in Human Behavior, , 2007, Vol. 23, No. 6, pp.2804-2822. https://doi.org/10.1016/j.chb.2006.05.006

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    Yusliza, M.-Y., Yi Yong, J., Ramayah, T., Imran Tanveer, M., & Muhammad, Z. (2018). Determinants of continued usage intention of electronic human resource management. International Journal of Engineering & Technology, 7(4), 3854-3864. https://doi.org/10.14419/ijet.v7i4.19641