New E-Technologies and Practices Adoption Framework (Ne-TPAF) Dealing with the Crucial Times
Abstract:
The study investigates
into the factors influencing the adoption of e-HRM technologies in order to propose
a framework for the adoption of new e-technologies and practices during critical
times of disruption, uncertainty, complexity, and ambiguity, as is with the case
of the Covid-19 pandemic. Through the identification of the factors that influence
the adoption of e-HRM technologies in one of the biggest commercial banks in Tanzania,
the paper proposes a new e-Technologies and Practices Adoption Framework (Ne-TPAF)
in order to promote the adoption of new e-technologies and practices during and
after the abnormal times.
References:
[1] Ruël, H., Bondarouk,
T., & Looise, J. K. (2004). E-HRM: Innovation or Irritation. An Explorative
Empirical Study in Five Large Companies on Web-based HRM. Management Review,
15(3), 364–380.
[2] Gopal, R., &
Shilpa, V. (2011). The implications of implementing electronic-human resource management
(e-HRM) systems in companies. Journal of Information Systems and Communication,
2(1), 10–29.
[3] Marler, J. H.,
& Parry, E. (2016). Human resource management, strategic involvement and e-HRM
technology. International Journal of Human Resource Management, 27(19), 2233–2253.
https://doi.org/10.1080/09585192.2015.1091980.
[4] Bondarouk, T.,
Ruël, H., & van der Heijden, B. (2009). e-HRM effectiveness in a public sector
organization: A multi-stakeholder perspective. International Journal of Human
Resource Management, 20(3), 578–590. https://doi.org/10.1080/09585190802707359.
[5] Wyatt, W. (2002).
B24/e-HR Survey Results. Accessed at: https://www.employment-studies.co.uk/system/files/resources/files/398.pdf
19.01.2022.
[6] Mago, R. (2016).
E-HRM (Electronic – Human Resource Management). E-HRM. International Journal
of Business Management and Scientific Research, 23, 41–47.
[7] Ngai, E. W. &
Wat, F. K., (2006). Human resource information systems: A review and empirical analysis.
Personnel Review, 35(3), 297–314.
[8] Kossek, E. E.
(1987). Human Resources Management Innovation. Human Resource Management, 26(1),
71–92.
[9] Altarawneh, I.
(2010). Human Resource Information Systems in Jordanian Universities. Journal
of Business and Management, 5(10), 113–127.
[10] Teo, S. H., Lim,
G. S., & Fedric, S. A. (2007). The adoption and diffusion of human resources
information systems in Singapore Thompson. Asia Pacific Journal of Human Resources,
45(1), 44–62.
[11] Troshani, I.,
Jerram, C., & Rao, H. S. (2011). Exploring the public sector adoption of HRIS.
Industrial Management & Data Systems, 111(3), 470– 488.
[12] Khaldoon, N.,
& Parsa, H., (2007). Critical Factors in Implementing HRIS in Restaurant Chains.
Advances in Hospitality and Leisure, 3, 69–86.
[13] Reddick, C. G.
(2009). Human Resources Information Systems in Texas City Governments: Scope and
Perception of its Effectiveness. Public Personnel Management, 38(4), 19–34.
[14] Masum, A. K. M.
(2015). Adoption Factors of Electronic Human Resource Management (e-HRM) in Banking
Industry of Bangladesh. Journal of Social Sciences, 11(1), 1–6. https://doi.org/10.3844/jssp.2015.1.6.
[15] Talukder, M. (2012).
Factors affecting the adoption of technological innovation by individual employees:
An Australian study. Procedia - Social and Behavioral Sciences, 40, 52–57.
https://doi.org/10.1016/j.sbspro.2012.03.160.
[16] Prasad, K., &
Vaidya, R. W. (2020). Association among Covid-19 parameters, occupational stress
and employee performance: An empirical study with reference to agricultural research
sector in Hyderabad Metro. Sustainable Humanosphere, 16(2), 235–253.
[17] Huang, J., &
Martin-Taylor, M. (2012). Turnaround user acceptance in the context of HR self-service
technology adoption: an action research approach. The International Journal of
Human Resource Management, 24(3), 621–642.
[18] Rogers, E. M.
(1995). Diffusions of Innovations. Diffusions of Innovations.
[19] Sargent, K., Hyland, P., & Sawang, S. (2012). Factors influencing the adoption of information technology in a construction business. Australasian Journal of Construction Economics and Building, 12(2), 72–86. https://doi.org/10.5130/ajceb.v12i2.2448.
[20] Panayotopoulou,
L., Vakola, M., & Galanaki, E. (2007). E-HR adoption and the role of HRM: Evidence
from Greece. Personnel Review, 36(2), 277–294. https://doi.org/10.1108/00483480710726145.
[21] van Veldhoven,
M., & Voermans, M. (2007). Attitude towards E-HRM: an empirical study at Philips.
Rsonnel Review, 36(6), 887–902.
[22] 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.
[23] Abraham, C., Nishihara,
E., & Akiyama, M. (2011). Transforming healthcare with information technology
in Japan: A review of policy, people, and progress. International Journal of
Medical Informatics, 80(3), 157–170. https://doi.org/10.1016/j.ijmedinf.2011.01.002.
[24] Venkatesh, V.
(2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation,
and Emotion into the Technology Acceptance Model. Information Systems Research,
11 (4), 342–365.
[25] Fuller, R. M.,
Vician, C., & Brown, S. A. (2006). E-learning and individual characteristics:
The role of computer anxiety and communication apprehension. Journal of Computer
Information Systems, 46(4), 103– 115.
[26] Babin, B. J.,
Darden, W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and
Utilitarian Shopping Value. Journal of Consumer Research, 20(4), 644–656.
[27] Borhani, A. S.
(2016). Individual and organizational factors influencing technology adoption for
construction safety.
[28] Igbaria, M., Parasuraman,
S., & Baroudi, J. J. (1996). A Motivational Model of Microcomputer Usage. Journal
of Management Information Systems, 13(1), 127–144.
[29] Sophonthummapharn,
K. (2009). The adoption of techno-relationship innovations: A framework for electronic
customer relationship management. Marketing Intelligence & Planning, 27(3),
380–412.
[30] Hamouche, Salima
(2021). Human resource management and the Covid-19 crisis: implications, challenges,
opportunities, and future organizational directions. Journal of Management &
Organization. First View, pp. 1-16. DOI: https://doi.org/10.1017/jmo.2021.15,
p. 1.
[31] Azizi, MR., Rasha,
A., Arash, Z., Jaffar, A., Roya, N. (2021). Innovative human resource management
strategies during the Covid-19 pandemic: A systematic narrative review approach.
Heliyon. Volume 7, Issue 6, June 2021, e07233.
https://doi.org/10.1016/j.heliyon.2021.e07233, p.1.
[32] Aitken-Fox, E.,
Coffey, J., Dayaram, K., Fitzgerald, S., Gupta, C., McKenna, S., & Wei Tian,
A. (2020b). The impact of Covid-19 on human resource management: avoiding generalisations.
LSE Business Review. Retrieved from https://blogs.lse.ac.uk/businessreview/2020/05/22/the-impact-of-covid-19-on-human-resource-management-avoiding-generalisations/GoogleScholar.
[33] Field, A. (2009).
Discovering Statistics Using SPSS (3rd ed.). London: Sage Publications Ltd.
[34] Hair, J. F., Black,
W. C., Babin, B. J., & Anderson, R. E. (2014). Pearson New International Edition:
Multivariat Data Analysis. Exploratory Data Analysis in Business and Economics.
https://doi.org/10.1007/978-3-319-01517-0_3.
[35] Baert, S., Lippens,
L., Moens, E., Sterkens, P., & Weytjens, J. (2020). How do we think the Covid-19
crisis will affect our careers (if any remain)?, GLO Discussion Paper, No. 520,
Global Labor Organization (GLO).
[36] Quazi, A. and
Talukder, M. (2011). Demographic determinants of employees’ perception and adoption
of technological innovation. Journal of Computer Information Systems, 51(3),
38-46, p.64.