Conceptualizing Challenges to Electronic Human Resource Management (e-HRM) Adoption: A case of Small and Medium Enterprises (SMEs) in Tanzania.

Authors

  • Namrata Shah University of Dar es salaam, Tanzania
  • Francis Michael University of Dar es salaam, Tanzania
  • Henry Chalu Professor at University of Dar es salaam, Tanzania

DOI:

https://doi.org/10.24203/ajbm.v8i4.6066

Keywords:

Challenges, e-HRM, SME, adoption.

Abstract

Most of the Small and Medium-sized Enterprises (SMEs) in the developing countries are yet to espouse and witness the full potential of electronic Human Resource Management (e-HRM) in their business operations despite its popularity in the developed countries. SMEs indispensable role in economic growth regarding employment creation and their contribution to GDP is globally acknowledged. A successful adoption of e-HRM may be the catalyst for the growth of Tanzania and many developing countries. Unfortunately, the application of e-HRM by the SME sector in Tanzania lacks depth and has been scrimpy. Numerous reasons and factors account for the low adoption rate of e-HRM by Tanzanian SMEs. This study aspires to address this scantiness by investigating e-HRM adoption to overcome the barriers that confront the SME sector in their quest to adopt e-HRM. Financial barrier was the most relevant among the five group of barriers. However, technical and Internet security prove to impede the adoption too. Thus to stimulate the adoption of e-HRM to increase productivity and enhance global competiveness, stakeholders and the government should invest in e-HRM and its components. Specifically, the paper delineates challenges of e-HRM adoption. A systematic desk review presents the evolution of prominent TAM model to fit contextual requirements and research advancement. This review thus culminates in a synthesized conceptual framework useful in research on e-HRM in the SMEs.

References

• Abdalkrim, G. M. (2012). The Impact of Human Resource management Practices on Organizational Performance in Saudi Banking Sector , Alsulial Salman Bin Abdulaziz University, Kingdom Of Saudi Arabia.

• Al-Gahtani, Said, S. and King, M. (1999). Attitudes, satisfaction and usage: factors contributing to each in the acceptance of information technology, Behaviour and Information Technology, 18, 4, 277- 297.

• Al-Najar, F. (2008). E-government between theory and practice, al dar al jameya, Alexandria, Egypt.

• Ameyaw B, Modzi SK. (1975) Government policies, internationalization and ICT usage towards SME’s growth: An empirical review of Ghana. British Journal of Economics, Management and Trade. 2016;12(3):1-11.

• Anderson, W. (1997). The future of human resources: forging ahead or falling behind?, HumanResource Management, 36- 1, 17-22.

• Asogwa, B.E and Ezema, I.F. (2012). The Challenges of Preservation of Archives and Records in the Electronic Age. Pacific Northwest Library Association Quarterly, 76, 3.

• Banerji, S.C., (2013) A Study of Issues and Challenges of Implementation of Information Technology in HR. Global Journal of Management and Business Studies 3(4). 435-440.

• Beer, M. (1997), The transformation of the HR function: resolving the tension between atraditional administrative and a new strategic role, Human Resource Management, 3, 1, 49-56

• Chinyuka, A. M. (2018). Implementation of human capital management information system (hcmis) in local government authorities in Tanzania: a case of Moshi district council. Mzumbe University, Tanzania.

• Chitungo, S. K., and Munongo, S. (2013). Extending the technology acceptance modelto mobile banking adoption in rural Zimbabwe. Journal of Business Administration and Education, 3(1), 51–79.

• Cumming, K. (2010). Ways of seeing: contextualizing the continuum. Records Management Journal.

• Davis, F. D., and Arbor, A. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, September.

• Davis, F. D., and Arbor, A. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, September.

• Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Man- agement Science (35:8), 982-1003.

• Denver, M., Gibson M., Tonderayi N. And Severino M. (2018). Human Resource Management Practices: A Case of SMES in Zimbabwe. International Journal of Economics, Commerce and Management, 6(8).

• Dessler, G. (2013). Human Resource Management. 13th Edition. Pearson Education Limited. Essex, UK.

• Ejiaku, S.A. (2014), Technology adoption: Issues and challenges in information technology adoption inemerging economies, Journal of International Technology and Information Management, 23, 2, 59-68.

• Ellig, B. (1997), Is the human resource function neglecting the employees?, Human Resource Management, 36, 1, 91-5.

• Ensher, E. A., Nielson, T. R., and Grant-Valone, E. (2002). Effects of the internet and technology on HR processes.Organizational Dynamics,31(3), 224–244.

• Erdogmus, N., and Esen, M. (2011). An investigation of the effects of technology readiness on technology acceptance in e-HRM. Procedia Social and Behavioral Sciences, 24, 487–495.

• Fisher, C.D., Schoenfeldt, L.F. and Shaw, J.B. (1996). An Introduction to Human Resource Management. Houghton Mifflin Company, Boston.

• Ha, N. T. V. (2011). The Impact of E-HRM on the Roles and Competencies of HR. Unpublished Master’s Thesis in Management International Business. University of Vaasa, Faulty of Business Studies Department of Management.

• Hooi L., (2007). Implementing e-HRM: The Readiness of Small and Medium Sized Manufacturing Companies in Malaysia. Volume 12, 2006 - Asia Pacific Business Review . Issue 4: Business and Management in South East Asia: Studies in Diversity and Dynamism.

• International Records Management Trust. (2007). Tanzania case study: fostering trust and integrity in public sector information systems in the ICT environment. London: IRMT. http://www.irmt.org/documents/building_integrity/case_studies/IRMT_Case_Study_Tanzania.pdf

• Kabanda, S. K., and Brown, I. (2015). E-commerce enablers and barriers in Tanzanian small and medium enterprises. Electronic Journal of Information Systems in Developing Countries, 67(1), 1–24.

• Khashman, A. M. and Al-Ryalat, H. A. (2015). The Impact of Electronic Human Resource Management (E-HRM) Practices on Business Performance in Jordanian Telecommunications Sector: The Employees Perspective. Journal of Management Research, 7(3), 115-129.

• Khatoon, S., (2012). Adoption of E-HRM in Healthcare Services: An Empirical Study. Aligarh Muslim University.

• Khatoon, T., Amin, M.R., and Hossain, M. (2013). Strategic human resource management (SHR) practices and its effect on financial performance: evidence from some selected scheduled private commercial banks in Bangladesh. International Journal of Economics, Finance and Management Sciences, 1(3).

• Kochan, T. (1997), Rebalancing the role of human resources, Human Resource Management, 36, 1,121-7.

• Lengnick-Hall, M. L., and Moritz, S. (2003).The impact of e-HRM on the human resource management function. Journal of Labor Research, 24(3), 365–379

• Lepak, D.P., and Snell, S.A. (1998). Virtual HR: Strategic human resource management in the 2 1 st century. Human Resource Management Review, 8, 2 15-234.

• Lin, F., S. S. Fofanah, and D. Liang, (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly, 28(2), 271-279.

• Ma, Q., and Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59–72.

• Madulu M., (2016). Adoption ofElectronic Record Keeping forHuman Resource ManagementatPresident’s Office Regional Administration andLocal Governmentin Tanzania. Mzumbe University.

• Martin, G., Alexander, H., Reddington, M. and Pate, J.M. (2006). Using Technology to Transform the Future of HR: An Illustrated Model of E-HR. Proceedings of theAcademy of Management Annual Conference, Atlanta, 12-16.

• Martin, G., and Reddington, M. (2010). Theorizing the links between e-HRM and strategic HR: A model, case illustration and reflections. The International Journal of Human Resource Management, 21.

• Masum A., Kabir M.,and Chowdhury M., (2015) Determinants that Influencing the Adoption of E-HRM: An Empirical Study on Bangladesh. Asian Social Science, 11, 21, 117-124.

• Mentz, E., and Mentz, K. (2003). Managing technology integration into schools: A South African perspective. Journal of Educational Administration, 41(2), 186-200.

• Mercer. (2007). HR Transformation 2.0: It’s all about the business.

• Mnjama, N., and Wamukoya, J. (2007). E-government and Record Management: an assessment tool for e-records management in government. The Electronic Library, 25 (3), 274-284.

• Mondy, R and Noe, R (2005). Human resource management, 9th edn, Person Education International, New Jersey, USA.

• Mukherjee A., Bhattacharyya S. and Bera R., (2014).0 Role Of Information Technology In Human Resource Management Of Sme: A Study On The Use Of Applicant Tracking System, Ibmrd's Journal Of Management And Research, Print Issn: 2277-7830, Online Issn: 2348-5922

• Mutahaba, G. (2015). Human Resource Management: A Neglected Element in African Public Service Reforms, A Tool for Developing Capacities for Managing the Human Resource in Africa‘s Public Sector Institutions. 73-87 .

• Nyame, P., and Boateng R., (2015). The Adoption and Use of Human Resource Information System (HRIS) in Ghana. International Conference on Enterprise Information Systems,130-138.

• Olise M.C., Anigbogu T.U., Edoko T.D. and Okoli M.I. (2014). Determinants of ICT Adoption for Improved SME's Performance in Anambra State, Nigeria, American International Journal of Contemporary Research, 4(7), 163-176.

• Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., and Pahnila, S. (2004), Consumer acceptance of online banking: An extension of the technology acceptance model, Internet Research, 14(3), 224-235.

• Porter, C.E. and Donthu, N. (2006) Using the TechnologyAcceptance Model to Explain How Attitudes Determine Internet Usage: The role of perceived access barriers and demographics. Journal of Business Research, 59, 999–1007.

• Robey, D. (1979). User Attitudes and Management In- formation System Use, Academy of Management Journal (22:3), September 1979, 527- 538.

• Ruel, H., Bondarouk, T. and Looise, J. (2004). E-HRM: Innovation or irritation. An explorative empirical study in five large companies on web-based HR.Management Review, 15(3), 364-381.

• Sajane, L. (2004). An investigation into management of electronic records in the public sector. Journal of record management , 13-17.

• Schultz RL, Slevin DP (1975). Implementing operations research/management science. New York: American Elsevier

• Smale, A., and Heikkilä, J. P. (2009). IT-Based integration of HR in a foreign MNC subsidiary: A micro-political perspective. In Handbook of Research on E-Transformation and Human Resources Management Technologies: Organizational Outcomes and Challenge. 153–170

• Small And Medium Enterprise Development Policy (2002), United Republic Of Tanzania Ministry Of Industry And Trade, Chapter 2, -Sme Development In Tanzania

• Snell S., Stueber D.and Lepak D. (2002). Virtual HR departments: getting out of the middle.In:R. Henneman and D. Greenberger (Eds.), Human Resource Management in Vitual Organizations, Greenwich: Information Age Publishing.

• Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human Resource Management Review, 17(1), 19–37.

• Sylvester, E.O.; Bamidele, A. and Oluyemi, O. (2015). Implementing E-HRM System in Developing Countries: Challenges and Prospects. International Journal of Applied Information Systems, 9(8).

• Tansley, C., Newell, S., and Williams, H. (2001). Effecting HR-style practices through an integrated human resource information system. Personnel Review, 30(3), 351.

• Tanzanin,Tanzania Development Vision 2025, The Government Printer, Dar es Salaam, 1999.

• Tarutėa A., and Gatautis R., (2013). ICT impact on SMEs performance. Contemporary Issues in Business, Management and Education

• Ukandu, E.N., Iwu, C.G. and Allen-lle, C.O.K. (2014). Influence of E-HRM in decision making in selected tertiary institutions in South Africa. Problems and Perspectives in Management, 12(4):397-405.

• Ulrich, D. (1997a). Judge me more by my future than by my past, Human ResourceManagement, 36 (1). 5-8.

• Ulrich, D. (1997b), HR of the future: conclusions and observations, Human ResourceManagement, 36 (1), 175-9.

• Ulrich, D. (1998), A new mandate for human resources, Harvard Business Review, 124-34.

• United Republic of Tanzania. (2009). Tanzania E-government Strategy. Dar es Salaam: President's Office - Public Service Management.

• Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsicmotivation.MIS Quarterly,23,239-260.

• Voermans, M. and Veldhoven, M. V. (2007). Attitude towards E-HRM: an empirical study at Philips, Personnel Review, 36 (6), 887-902

• Walinda, S. R. (2013). Development of electronic human resource management for public institutions in Tanzania: a case of Tanzania civil aviation authority. Open university of Tanzania.

• Yeung, A. and Brockbank, W. (1995) Re-engineering HRthrough information technology. Human Re-source Planning, 18:2, 25–37.

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Published

2020-10-30

How to Cite

Conceptualizing Challenges to Electronic Human Resource Management (e-HRM) Adoption: A case of Small and Medium Enterprises (SMEs) in Tanzania. (2020). Asian Journal of Business and Management, 8(4). https://doi.org/10.24203/ajbm.v8i4.6066

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