Investigating the intention to use technology among medical students: An application of an extended model of the theory of planned behavior
| Published date | 01 May 2022 |
| Author | Vincent Ekow Arkorful,Anastasia Hammond,Benjamin Kweku Lugu,Ibrahim Basiru,Kenneth Khavwandiza Sunguh,Priscilla Charmaine‐Kwade |
| Date | 01 May 2022 |
| DOI | http://doi.org/10.1002/pa.2460 |
ACADEMIC PAPER
Investigating the intention to use technology among medical
students: An application of an extended model of the theory of
planned behavior
Vincent Ekow Arkorful
1
| Anastasia Hammond
2
| Benjamin Kweku Lugu
3
|
Ibrahim Basiru
3
| Kenneth Khavwandiza Sunguh
4
| Priscilla Charmaine-Kwade
5
1
Department of Government and International
Studies, Hong Kong Baptist University,
Kowloon Tong, Hong Kong
2
Department of Psychology, University of
Ghana, Accra, Ghana
3
School of Management, University of Science
and Technology of China, Hefei, China
4
School of Public Affairs, University of Science
and Technology of China, Hefei, China
5
School of Humanities and Social Science,
University of Science and Technology of
China, Hefei, China
Correspondence
Vincent Ekow Arkorful, Department of
Government and International Studies, Hong
Kong Baptist University, Baptist University
Road, Kowloon Tong, Hong Kong.
Email: saintvincentino@gmail.com
Though the integration of technology into the health sector has been touted as one
of the conduits for enhancing efficiency and effectiveness in health and service deliv-
ery, research reports of not only a slow pace of adoption, but also medical practi-
tioner's negative tendency regarding technology adoption. Considering that medical
students are likely to constitute the future work force to use technology for enhanc-
ing accuracy in medical decisions, their intention to use technology constitutes a car-
dinal factor for guiding the implementation of technology-based initiatives in
healthcare settings. By integrating descriptive norm, the study seeks to extend the
theory of planned behavior (TPB) to investigate correlates of prospective users'
behavioral characteristics relative to technology adoption. A field survey is conducted
with 322 medical students from different medical schools undertaking mandatory
clinicals in health facilities in Ghana. The structural equation modeling analysis of col-
lected data revealed that, attitude, subjective norm, perceived behavioral control, and
descriptive norm, all have significant positive relationship with student's technology
adoption intention. The results of data analysis further revealed that, the core TPB
constructs contributed 26% of the variance in technology adoption intention whiles
the extended variable contributed to increasing the explanation of variance in stu-
dent's adoption intention to 33%. Hence, the inclusion of descriptive norm increased
the explained variance by 7% (ΔR
2
= 7%, p< .001). The results confirm the predictive
potential and appropriateness of the TPB model. Arising from the empirical results,
study implications are discussed.
1|INTRODUCTION
The adoption of information and communication technology (ICT) has
been globally acknowledged to be fraught with immense potentials to
anchor professionalism, drive service delivery and enhance sector per-
formance. In recent times, health delivery has been influenced by a
concatenation of technological developments. Essentially, advance-
ments in computer technology, and the availability of accessories
thereof have spurred the development and implementation of innova-
tive strategies for healthcare settings (Arkorful, Shuliang, Muhideen,
Basiru, & Hammond, 2019; Hopson, Simms, & Knezek, 2002). In the
developing world to be precise, the desire to tap into this enormous
resource has compelled governments to make strides toward
implementing policy initiatives meant to drive technology usage
across sectors. To this end, substantial capital has been injected to
provide sustainable support for ICT drive across sectors including the
health sector.
More particularly in Ghana, the information communication tech-
nology for development (ICT4D) has been initiated. Coupled with this,
the electronic health (e-health) strategy intended to drive health
Received: 17 June 2019 Revised: 18 August 2020 Accepted: 31 August 2020
DOI: 10.1002/pa.2460
J Public Affairs. 2022;22:e2460. wileyonlinelibrary.com/journal/pa © 2020 John Wiley & Sons Ltd 1of12
https://doi.org/10.1002/pa.2460
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