Gender and Perceived Usefulness of e-HRM Technologies. A Case of the Bankers’ Experience in Tanzania
This study investigates
the impact of gender differences on the perceived usefulness of e-HRM technologies,
using 158 observations from a survey conducted in one of the commercial banks in
Tanzania. The descriptive statistics show that the e-HRM technologies in the bank
have not been perceived as useful. With the T-Test, it has been found out that men
perceive the e-HRM technologies more useful compared to women. The
paper urges the promoters of e-HRM technologies in organizations
to better understand the ways in which the use of such technologies can be enhanced
to their employees, particularly women. The study proposes further research on e-HRM
and gender, particularly on the impact of e-HRM technologies on spending, time saving,
 Ruel, H. J. M., Bondarouk, T., & Looise, J. C.,
2004, E-HRM: Innovation or irritation. An explorative empirical study in five large
companies on web-based HRM, Management revue, 15(3), 364-380,
 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.
 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.
 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.
 Davis, F.D.,
1989, Perceived usefulness, perceived ease of use, and user acceptance of information
technology, MIS Quarterly, 13 (3), 319-340.
R. & Prasad, J., 1998, The antecedents and consequents of user perceptions in
information technology adoption, Decision Support Systems, 22 (1), 15-29.
E.M., 2003, Diffusion of Innovations, 5th ed. New York: The Free Press.
 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.
C., 2016, User acceptance of the e-information service as information resource A
new extension of the technology acceptance model, New Library World, 117
M., Parasuraman, S., & Baroudi, J., 1996, A motivational model of microcomputer
usage, Journal of Management Information Systems, 13 (1), 127-143.
 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 (2), 227-247.
S., & Todd, P.A., 1995, Understanding Information Technology Usage - A Test
of Competing Models, Information Systems Research, 6 (2), 144-176.
V., & Davis, F.D, 2000, A theoretical extension of the Technology Acceptance
Model: 21 / 21 Four longitudinal field studies, Management Science, 46 (2),
V., Morris, M.G., Davis, G.B., & Davis, F.D., 2003, User acceptance of information
technology: Toward a unified view, MIS Quarterly, 27 (3), 425-478.
 Lwoga, T.,
2012, Making Web 2.0 Technologies work for higher learning institutions in Africa.
Campus, Wide Information Systems, 29 (2), 90-107.
 Usoro, E.
& Majewski, G., 2014, A Model of Acceptance of Web 2.0 in Learning in Higher
Education: a case study of two cultures, E–Learning and Digital Media, 11 (6), www.wwwords.co.uk/ELEA.
D., 2021, Beyond the ‘e-’ in e-HRM: integrating a socio-material perspective,
The International Journal of Human Resource Management, 32:12,
2563-2591, DOI: 10.1080/09585192.2021.1913624.
J. 2013, Perspectives on e-HRM in the Multinational Setting, Vaasan Yliopisto.
T., Erlando, A., & Riyanto, F.D., 2021, Factors Determining Intention to
Continue Using E-HRM, Journal of Asian Finance, Economics, and Business,
8 (2), 1079–1089.
 Bondarouk, T., Parry, & Furtmueller, E., 2017,
Electronic HRM: four decades of research on adoption and consequences, The
International Journal of Human Resource Management, 28 (1),
 Quazi, A. & Talukder, M., 2011,
Demographic determinants of employees’ perception and adoption of technological
innovation, Journal of Computer Information Systems, 51 (3), 38-46.
 Davis, F., Bagozzi, R., &
Warshaw, P., 1989, User acceptance of computer technology: A comparison of two
theoretical models, Management Science, 35 (8), 982-1003.
K. & Lepely, M., 2016, Copreneurial women in start-ups, Academia Revista Latinoamericana
de Administración, 29 (2), 181 – 197. http://dx.doi.org/10.1108/ARLA-08-2015-0231.
 United Nations,
2014, ‘Empowering women entrepreneurs through information and communications technologies:
a practical guide’, UN Conference on Trade and Development, UNCTAD Current Studies
on Science, Technology and Innovation, Vol. 9.
A., Dutta, S., 2016, Gender Differences in Technology Usage—A Literature
Review, Open Journal of Business and Management, 4. 51-59. http://www.scirp.org/journal/ojbm; http://dx.doi.org/10.4236/ojbm.2016.41006.
V., & Morris, M. G., 2000, Why don't men ever stop to ask for directions?
Gender, social influence, and their role in technology acceptance and usage
behavior, MIS Quarterly, 24, 115–139. https://doi.org/10.2307/3250981
 Debrand, C.C., & Johnson, J. J.,
2008, Gender differences in email and instant messaging: A study of
undergraduate business information systems students, Journal of Computer
Information Systems, 48 (3), 20–30.
 Teo, T., Fan, X., & Du. J.,
2015, Technology acceptance among pre-service teachers: Does gender matter? Australasian
Journal of Educational Technology, 31 (3), 235-251.