References
Al-Dmour, R. H., Masa'deh, R. e., & Obeidat, B. Y. (2017). Factors influencing the adoption and implementation of HRIS applications: are they similar? International Journal of Business Innovation and Research, 14(2), 139-167. https://doi.org/10.1504/IJBIR.2017.086276
Search via ReFindit
Avey, J. B., Luthans, F., & Jensen, S. M. (2009). Psychological capital: A positive resource for combating employee stress and turnover. Human resource management, 48(5), 677-693. https://doi.org/10.1002/hrm.20294
Search via ReFindit
Ball, K. S. (2001). The use of human resource information systems: a survey. Personnel review, 30(6), 677-693. https://doi.org/10.1002/hrm.20294
Search via ReFindit
Bamberger, P. A., Biron, M., & Meshoulam, I. (2014). Human resource strategy: Formulation, implementation, and impact: Routledge.
Search via ReFindit
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173. https://psycnet.apa.org/doi/10.1037/0022-3514.51.6.1173
Search via ReFindit
Barrick, M. R., Thurgood, G. R., Smith, T. A., & Courtright, S. H. (2015). Collective organizational engagement: Linking motivational antecedents, strategic implementation, and firm performance. Academy of Management Journal, 58(1), 111-135. http://dx.doi.org/10.5465/amj.2013.0227
Search via ReFindit
Beckers, A. M., & Bsat, M. Z. (2002). A DSS classification model for research in human resource information systems. Information Systems Management, 19(3), 41-50. https://doi.org/10.1201/1078/43201.19.3.20020601/37169.6
Search via ReFindit
Bondarouk, T., Ruël, H., & van der Heijden, B. (2009). e-HRM effectiveness in a public sector organization: a multi-stakeholder perspective. The International Journal of Human Resource Management, 20(3), 578-590. https://doi.org/10.1080/09585190802707359
Search via ReFindit
Bratton, J., & Gold, J. (2017). Human resource management: theory and practice: Palgrave.
Search via ReFindit
Brown, S. A., Massey, A. P., Montoya-Weiss, M. M., & Burkman, J. R. (2002). Do I really have to? User acceptance of mandated technology. European journal of information systems, 11(4), 283-295. https://doi.org/10.1057/palgrave.ejis.3000438
Search via ReFindit
Daghfous, A., Belkhodja, O., & Ahmad, N. (2018). Understanding and managing knowledge transfer for customers in IT adoption. Information Technology & People, 31(2), 428-454. https://doi.org/10.1108/ITP-10-2016-0222
Search via ReFindit
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
Search via ReFindit
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022
Search via ReFindit
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Search via ReFindit
Dery, K., Grant, D., & Wiblen, S. (2009). Human resource information systems (HRIS): Replacing or enhancing HRM. Paper presented at the Proceedings of the 15th World Congress of the International Industrial Relations Association IIRA.
Search via ReFindit
Egan, T. M., Yang, B., & Bartlett, K. R. (2004). The effects of organizational learning culture and job satisfaction on motivation to transfer learning and turnover intention. Human resource development quarterly, 15(3), 279-301. https://doi.org/10.1002/hrdq.1104
Search via ReFindit
Ferneley, E. H., & Sobreperez, P. (2006). Resist, comply or workaround? An examination of different facets of user engagement with information systems. European Journal of Information Systems 15 (4), 345–356. http://dx.doi.org/10.1057/palgrave.ejis.3000629
Search via ReFindit
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1), 39–50. https://doi.org/10.2307/3151312
Search via ReFindit
Freund, A. (2005). Commitment and job satisfaction as predictors of turnover intentions among welfare workers. Administration in social work, 29(2), 5-21. https://doi.org/10.1300/J147v29n02_02
Search via ReFindit
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
Search via ReFindit
Grant, A. M. (2007). Relational job design and the motivation to make a prosocial difference. Academy of management review, 32(2), 393-417.
Search via ReFindit
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433. https://doi.org/10.5465/amr.2007.24351328
Search via ReFindit
Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.
Search via ReFindit
Holden, R. J., & Karsh, B.-T. (2010). The technology acceptance model: its past and its future in health care. Journal of biomedical informatics, 43(1), 159-172. https://doi.org/10.1016/j.jbi.2009.07.002
Search via ReFindit
Holm, A. B. (2012). E-recruitment: Towards an Ubiquitous Recruitment Process and Candidate Relationship Management. German Journal of Human Resource Management: Zeitschrift Für Personalforschung, 26(3), 241–259. https://doi.org/10.1177/239700221202600303
Search via ReFindit
Hussain, Z., Wallace, J., & Cornelius, N. E. (2007). The use and impact of human resource information systems on human resource management professionals. Information & management, 44(1), 74-89. https://doi.org/10.1016/j.im.2006.10.006
Search via ReFindit
Ito, T. A., Larsen, J. T., Smith, N. K., & Cacioppo, J. T. (1998). Negative information weighs more heavily on the brain: the negativity bias in evaluative categorizations. Journal of Personality and Social Psychology 75 (4), 887–900.
Search via ReFindit
Johnson, R. D., Lukaszewski, K. M., & Stone, D. L. (2016). The evolution of the field of human resource information systems: co-evolution of technology and HR processes. CAIS, 38, 28.
Search via ReFindit
Joseph, D., Ng, K.-Y., Koh, C., & Ang, S. (2007). Turnover of information technology professionals: a narrative review, meta-analytic structural equation modeling, and model development. MIS quarterly, 31(3), 547-577.
Search via ReFindit
Kavanagh, M. J., & Johnson, R. D. (2017). Human resource information systems: Basics, applications, and future directions: Sage Publications.
Search via ReFindit
Konradt, U., Hertel, G., & Schmook, R. (2003). Quality of management by objectives, task-related stressors, and non-task-related stressors as predictors of stress and job satisfaction among teleworkers. European Journal of Work and Organizational Psychology, 12(1), 61-79. https://psycnet.apa.org/doi/10.1080/13594320344000020
Search via ReFindit
Kovach, K. A., & Cathcart, C. E. J. (1999). Human resource information systems (HRIS): Providing business with rapid data access, information exchange and strategic advantage. Public Personnel Management, 28(2), 275-282.
Search via ReFindit
Kumarapeli, K., & Peiris, M. (2018). The Impact of HR Personnel Attitude on HRIS towards It Success: A Study Conducted in Gampaha District, Sri Lanka.
Search via ReFindit
Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management science, 52(12), 1865-1883. https://psycnet.apa.org/doi/10.1287/mnsc.1060.0597
Search via ReFindit
Marler, J. H., & Fisher, S. L. (2013). An evidence-based review of e-HRM and strategic human resource management. Human resource management review, 23(1), 18-36. http://dx.doi.org/10.1016/j.hrmr.2012.06.002
Search via ReFindit
Morris, M. G., & Venkatesh, V. (2010). Job characteristics and job satisfaction: understanding the role of enterprise resource planning system implementation. MIS quarterly, 34(1).
Search via ReFindit
Moura, D., Orgambídez-Ramos, A., & Gonçalves, G. (2014). Role stress and work engagement as antecedents of job satisfaction: Results from Portugal.
Search via ReFindit
Ngai, E., & Wat, F. (2006). Human resource information systems: a review and empirical analysis. Personnel review, 35(3), 297-314. https://doi.org/10.1108/00483480610656702
Search via ReFindit
Noe, R. A., Hollenbeck, J. R., Gerhart, B., & Wright, P. M. (2017). Human resource management: Gaining a competitive advantage: McGraw-Hill Education New York, NY.
Search via ReFindit
Noutsa, F. A., Kamdjoug, J. R. K., & Wamba, S. F. (2017). Acceptance and use of HRIS and influence on organizational performance of SMEs in a developing economy: the case of Cameroon. Paper presented at the World Conference on Information Systems and Technologies.
Search via ReFindit
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory, third ed. McGraw-Hill Inc., New York, NY.
Search via ReFindit
Paauwe, J. (2004). HRM and performance: Achieving long-term viability: Oxford University Press on Demand.
Search via ReFindit
Parry, E. (2011). An examination of e-HRM as a means to increase the value of the HR function. The International Journal of Human Resource Management, 22(05), 1146-1162.
Search via ReFindit
Parry, E., & Tyson, S. (2011). Desired goals and actual outcomes of e‐HRM. Human resource management journal, 21(3), 335-354.
Search via ReFindit
Preacher, K., & Hayes, A. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
Search via ReFindit
Prodani, R., Bushati, J., Andersons, A. 2019. An assessment of impact of information and communication technology in enterprızes of Korça region. Insights into Regional Development, 1(4), 333-342. https://doi.org/10.9770/ird.2019.1.4(4)
Search via ReFindit
Qadir, A., & Agrawal, S. (2017). Human Resource Information System (HRIS): Re-engineering the Traditional Human Resource Management for Leveraging Strategic Human Resource Management.
Search via ReFindit
Riemenschneider, C. K., Harrison, D. A., & Mykytyn Jr, P. P. (2003). Understanding IT adoption decisions in small business: integrating current theories. Information & management, 40(4), 269-285. 00010-1 https://doi.org/10.1016/S0378-7206(02)
Search via ReFindit
Ruel, H. J., Bondarouk, T. V., & Van der Velde, M. (2007). The contribution of e-HRM to HRM effectiveness: Results from a quantitative study in a Dutch Ministry. Employee relations, 29(3), 280-291. https://doi.org/10.1108/01425450710741757
Search via ReFindit
Schaupp, L. C., Carter, L., & Hobbs, J. (2009). E-file adoption: A study of US taxpayers' intentions. Paper presented at the 2009 42nd Hawaii International Conference on System Sciences.
Search via ReFindit
Shahreki, J. (2019a). Electronic Human Resource Management and Employee Efficiency: Test of the Mediating Role of Impersonal Trust. Journal of Soft Computing and Decision Support Systems, 6(4), 20-29.
Search via ReFindit
Shahreki, J. (2019b). The Use and Effect of Human Resource Information Systems on Human Resource Management Productivity. Journal of Soft Computing and Decision Support Systems, 6(5), 1-8.
Search via ReFindit
Shahreki, J., & Nakanishi, H. (2016). The Relationship between Task Technology Fit and Individual Performance: Case Study in Hotel Industry in Malaysia. Journal of Soft Computing and Decision Support Systems, 3(6), 1-15.
Search via ReFindit
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In: Leinhardt, S. (Ed.), Sociological Methodology. American Sociological Association, Washington, DC, pp. 290–312.
Search via ReFindit
Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human resource management review, 17(1), 19-37. http://dx.doi.org/10.1016/j.hrmr.2006.11.002
Search via ReFindit
Strohmeier, S. (2009). Concepts of e-HRM consequences: a categorisation, review and suggestion. The International Journal of Human Resource Management, 20(3), 528-543.
Search via ReFindit
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
Search via ReFindit
Thatcher, J. B., Stepina, L. P., & Boyle, R. J. (2002). Turnover of information technology workers:Examining empirically the influence of attitudes, job characteristics, and external markets. Journal of management information systems, 19(3), 231-261. https://doi.org/10.1080/07421222.2002.11045736
Search via ReFindit
Van Aken, J. E., & Berends, H. (2018). Problem solving in organizations: Cambridge University Press.
Search via ReFindit
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Search via ReFindit
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Search via ReFindit
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
Search via ReFindit
Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 17(5), 328-376. https://doi.org/10.17705/1jais.00428
Search via ReFindit
Wiblen, S. L., Grant, D., & Dery, K. (2010). Transitioning to a new HRIS: The reshaping of human resources and information technology talent.
Search via ReFindit
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102. https://doi.org/10.1287/isre.1050.0042
Search via ReFindit
Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221-232. http://dx.doi.org/10.1016/j.chb.2016.10.028
Search via ReFindit
Yi, Y., Nataraajan, R., & Gong, T. (2011). Customer participation and citizenship behavioral influences on employee performance, satisfaction, commitment, and turnover intention. Journal of Business Research, 64(1), 87-95 https://doi.org/10.1016/j.jbusres.2009.12.007
Search via ReFindit
RSS 1.0
