Investigation on the precursors to and effects of human resource information system use: The case of a developing country

References

• Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16, 227–247. doi:10.2307/249577
   Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Boateng, A. (2007). The role of human resource information systems (HRIS) in strategic human resource management (SHRM) ( Master of science theses), Accounting swedish school of economics and business administration, palovartijantie.
   Google Scholar
• Bondarouk, T., Ruel, 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. doi:10.1080/09585190802707359
   Web of Science ®Google Scholar
• Boudreau, M.-C., & Robey, D. (2005). Enacting integrated information technology: A human agency perspective. Organization Science, 16(1), 3–18. doi:10.1287/orsc.1040.0103
   Web of Science ®Google Scholar
• Buchanan, D. A., & McCalman, J. (1988). Confidence, visibility and pressure: The effects of shared information in computer aided hotel management. New Technology, Work and Employment, 3(1), 38–46. doi:10.1111/ntwe.1988.3.issue-1
   Google Scholar
• 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. doi:10.1016/j.dss.2009.12.006
   Web of Science ®Google Scholar
• Choi, H., Choi, M., Kim, J., & Yu, H. (2003). An empirical study on the adoption of information appliances with a focus on interactive TV. Telematics and Informatics, 20(2), 161–183. doi:10.1016/S0736-5853(02)00024-2
   Google Scholar
• Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science, 36(2), 123–139. doi:10.1287/mnsc.36.2.123
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. doi:10.2307/249008
   Web of Science ®Google Scholar
• 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. doi:10.1287/mnsc.35.8.982
   Web of Science ®Google Scholar
• Dery, K., Grant, D., & Wiblen, S. (2009). Human resource information systems (HRIS): Replacing or enhancing HRM. Proceedings of the 15th World Congress of the International Industrial Relations Association IIRA.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50. doi:10.2307/3151312
   Web of Science ®Google Scholar
• Gan, E. (2003). Factors influencing adoption of technology: Case study on personal digital assistant. MBA thesis, School of Management, Universiti Sains Malaysia, Gelugor.
   Google Scholar
• Gann, D. M., & Salter, A. J. (2000). Innovation in project-based, service-enhanced firms: The construction of complex products and systems. Research Policy, 29(7–8), 955–972. doi:10.1016/S0048-7333(00)00114-1
   Web of Science ®Google Scholar
• Gardner, S. D., Lepak, D. P., & Bartol, K. M. (2003). Virtual HR: The impact of information technology on the human resource professional. Journal of Vocational Behavior, 63(2), 159–179. doi:10.1016/S0001-8791(03)00039-3
   Web of Science ®Google Scholar
• Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Advanced diagnostics for multiple regression: A supplement to multivariate data analysis: Upper Saddle River. NJ: Prentice Hall.
   Google Scholar
• Ishijima, H., Mapunda, M., Mndeme, M., Sukums, F., & Mlay, V. S. (2015). Challenges and opportunities for effective adoption of HRH information systems in developing countries: National rollout of HRHIS and TIIS in Tanzania. Human Resources for Health, 13(1), 48. doi:10.1186/s12960-015-0043-1
   PubMedGoogle Scholar
• Jenkins, M. L., & Lloyd, G. (1985). How corporate philosophy and strategy shape the use of HR information systems. Personnel, 62(5), 28–38.
   PubMedGoogle Scholar
• Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23, 183–213. doi:10.2307/249751
   Web of Science ®Google Scholar
• Kassim, N. M., Ramayah, T., & Kurnia, S. (2012). Antecedents and outcomes of human resource information system (HRIS) use. International Journal of Productivity and Performance Management, 61(6), 603–623. doi:10.1108/17410401211249184
   Google Scholar
• Kothari, C. R. (2004). Research methodology: Methods and techniques. In New age international.
   Google Scholar
• Laumer, S., Maier, C., Weitzel, T., & Eckhardt, A. (2012). The implementation of large-scale information systems in small and medium-sized enterprises—a case study of work- and health-related consequences. 2012 45th Hawaii International Conference on Information Systems.
   Google Scholar
• Lepak, D. P., & Snell, S. A. (1998). Virtual HR: Strategic human resource management in the 21st century. Human Resource Management Review, 8(3), 215–234. doi:10.1016/S1053-4822(98)90003-1
   Web of Science ®Google Scholar
• Lin, C.-Y.-Y. (1997). Human resource information systems: Implementation in Taiwan. Research and Practice in Human Resource Management, 5(1), 57–72.
   Google Scholar
• Lukaszewski, K. M., Stone, D. L., & Stone-Romero, E. F. (2008). The effects of the ability to choose the type of human resources system on perceptions of invasion of privacy and system satisfaction. Journal of Business and Psychology, 23(3–4), 73–86. doi:10.1007/s10869-008-9074-0
   Web of Science ®Google Scholar
• Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2013). Analyzing the impact of HRIS implementations on HR personnel’s job satisfaction and turnover intention. The Journal of Strategic Information Systems, 22(3), 193–207. doi:10.1016/j.jsis.2012.09.001
   Web of Science ®Google Scholar
• Malaquias, R. F., & Hwang, Y. (2016). Firms’ size and use of information and communication technologies: Empirical evidence on small businesses in Brazil. Information Development, 32(5), 1613–1620. doi:10.1177/0266666915616165
   Web of Science ®Google Scholar
• Ojha, A., Sahu, G., & Gupta, M. (2009). Antecedents of paperless income tax filing by young professionals in India: An exploratory study. Transforming Government: People, Process and Policy, 3(1), 65–90. doi:10.1108/17506160910940740
   Google Scholar
• Oly Ndubisi, N., & Jantan, M. (2003). Evaluating IS usage in Malaysian small and medium-sized firms using the technology acceptance model. Logistics Information Management, 16(6), 440–450. doi:10.1108/09576050310503411
   Google Scholar
• Park, H. J., Gardner, T. M., & Wright, P. M. (2004). HR practices or HR capabilities: Which matters? Insights from the Asia Pacific region. Asia Pacific Journal of Human Resources, 42(3), 260–273. doi:10.1177/1038411104045394
   Google Scholar
• Ramayah, T., Dahlan, N., Teck, T. K., & Aafaqi, B. (2003). Perceived web security and web-based online transaction intent. Multimedia Cyberscape Journal, 1, 131–141.
   Google Scholar
• Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM), 3(3), 36–51.
   Google Scholar
• Remenyi, D., Money, A., & Twite, A. (1993). A guide to measuring and managing IT benefits. Oxford: NCC Blackwell Ltd.
   Google Scholar
• Rogers, E. M. (1962). Diffusion of innovativeness. NY: The Free Press of Glencoe.
   Google Scholar
• Rogers, E. M. (1983). Diflitsion of innovations. New York: Free.
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (edn). New York: Free Press.
   Google Scholar
• Sang, S., Lee, J.-D., & Lee, J. (2010). E-government adoption in Cambodia: A partial least squares approach. Transforming Government: People, Process and Policy, 4(2), 138–157. doi:10.1108/17506161011047370
   Google Scholar
• Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A study of US taxpayers’ intentions. Computers in Human Behavior, 26(4), 636–644. doi:10.1016/j.chb.2009.12.017
   Web of Science ®Google Scholar
• Snell, S., Pedigo, P., & Krawlec, G. (1995). Managing the impact of information technology on human resource management. In G. Ferris, S. Rosen, & D. Barnum (Eds), Handbook of human resource management. Oxford: Blackwell.
   Google Scholar
• Sparrow, P. R., & Daniels, K. (1999). Human resource management and the virtual organization: Mapping the future research issues. Journal of Organizational Behavior, 6, 45.
   Google Scholar
• Stone, D. L., & Lukaszewski, K. M. (2009). An expanded model of the factors affecting the acceptance and effectiveness of electronic human resource management systems. Human Resource Management Review, 19(2), 134–143. doi:10.1016/j.hrmr.2008.11.003
   Web of Science ®Google Scholar
• Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the AIS, 1(1es), 5.
   Google Scholar
• Temple, P. (2000, May). Technology on the fly. Workforce, Vol. 10.
   Google Scholar
• Thite, M., Kavanagh, M. J., & Johnson, R. D. (2012). Evolution of human resource management and human resource information systems (pp. 2–35). Sage Publications.
   Google Scholar
• Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 1, 28–45. doi:10.1109/TEM.1982.6447463
   Google Scholar
• Troshani, I., Jerram, C., & Rao Hill, S. (2011). Exploring the public sector adoption of HRIS. Industrial Management & Data Systems, 111(3), 470–488. doi:10.1108/02635571111118314
   Web of Science ®Google Scholar
• Ulrich, D. (1998). A new mandate for human resources. Harvard Business Review, 76, 124–135.
   PubMed Web of Science ®Google Scholar
• Van Slyke, C., Lou, H., Belanger, F., & Sridhar, V. (2010). The influence of culture on consumer-oriented electronic commerce adoption. Journal of Electronic Commerce Research, 11(1), 30.
   Web of Science ®Google Scholar
• Vandenberghe, C., Panaccio, A., Bentein, K., Mignonac, K., & Roussel, P. (2011). Assessing longitudinal change of and dynamic relationships among role stressors, job attitudes, turnover intention, and well-being in neophyte newcomers. Journal of Organizational Behavior, 32(4), 652–671. doi:10.1002/job.v32.4
   Web of Science ®Google Scholar
• Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic motivation. MIS Quarterly, 23, 239–260. doi:10.2307/249753
   Web of Science ®Google Scholar
• Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly, 25, 71–102. doi:10.2307/3250959
   Web of Science ®Google Scholar
• Wiblen, S., Grant, D., & Dery, K. (2010). Transitioning to a new HRIS: The reshaping of human resources and information technology talent. Journal of Electronic Commerce Research, 11(4), 251.
   Web of Science ®Google Scholar
• Zaman, H., & Rokonuzzaman. (2015). Achieving digital Bangladesh by 2021 and beyond. Background paper for the 7th Five Year Plan (7FYP).
   Google Scholar
• Zuboff, S. (1988). In the age of the smart machine: The future of work and power. Basic books.
   Google Scholar