The influence of technological preparedness on trust in e-commerce by South African SMEs with demographics as mediation variables

Abstract

This study investigates the impact of Technological Preparedness on trust in e-commerce by SMEs in South Africa. The study examined the role of an organisation’s Technological Preparedness in influencing the use of e-commerce. A positivist research paradigm and quantitative research approach underpins this study. Demographical factors were used as control variables. A total of 497 respondents participated in the research, and the findings highlighted the significance of Technological Preparedness in influencing trust in e-commerce by SMEs in South Africa. The findings suggest that demographics such as Age, Gender, Education Level, Province of origin, Business Category, and Internet Experience had little or no influence on trust in e-commerce compared to Technological Preparedness. The technological limitations SMEs experience significantly influence their trust in e-commerce, impacting their adoption and usage of e-commerce in their businesses. This study contributes to the existing literature on the adoption of technology by SMEs in developing countries. It provides insights for policymakers to develop effective policies that support the usage of e-commerce by SMEs to facilitate growth and sustainability. Based on the findings, government policies should improve to focus more on addressing technological issues and empower SMEs to enhance their preparedness to adopt e-commerce.

Keywords: {'name': 'E-commerce, Technological Preparedness, demographics, SMEs'}

Authors & affiliations

Solomon Madzvamuse
Affiliation not supplied

Armstrong Kadyamatimba
Affiliation not supplied

Willard Munyoka
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

Acheampong P, L. Z. (2017). Hybridizing an Extended Technology Readiness Index with Technology Acceptance Model (TAM) to Predict E-Payment Adoption in Ghana. American Journal of multidisciplinary research, 172-184.

DOI: 10.4018/JGIM.2020010101

Akelloh Charles Ooko, George Raburu Samuel Liyala Lucy Arvin Onditi. Infrastructure A Major Barrier to E-commerce Development and Adoption. Journal of Information Engineering and Applications www.iiste.org ISSN 2224-5782 (print) ISSN 2225-0506 (online) Vol.7, No.9, 2017

DOI: 10.1109/TCSS.2022.3163912

DOI: 10.57017/jaes.v15.3(69).09

Bruwer, Juan-Pierré. The conduciveness of the South African economic environment and small, medium and micro-enterprise sustainability. Expert Journal of Business and Management Volume 5, Issue 1, p p. 1 -1 2, 2 01 7

DOI: 10.19030/jabr.v32i6.9889

Cheng, J. X. (2020). Uncertainty Avoidance, Individualism, and the Readiness of Business-to-Consumer E-commerce. Journal of Asian Finance, Economics and Business Vol 8 No 1, 791–801.

Clavis Nwehfor Fubah, Menisha Moos. Exploring COVID-19 Challenges and Coping Mechanisms for SMEs in the South African Entrepreneurial Ecosystem

Dubravka Cecez-Kecmanovic, M. J. (2004). The Emancipatory Politics of e-commerce. Proceedings of the Americas Conference on Information Systems, New York, August 2004,1-9.

Fadeyi, O. A., Ariyawardana, A., & Aziz, A. A. (2022). Factors influencing technology adoption among smallholder farmers: a systematic review in Africa.

DOI: 10.24818/issn14531305/24.2.2020.03

DOI: 10.3390/su14041944

DOI: 10.1002/gsj.1442

DOI: 10.9734/ajarr/2019/v6i230147

Gupta, A. (2014). E-commerce: Role of e-commerce in today’s business. International Journal of Computing and Corporate Research, 1-8.

DOI: 10.1016/j.jbusres.2019.11.069

haled S. Rabayah, M. M. (2021). Cultural factors that influence the adoption of e-commerce: A Palestinian case study. Information Development, 1-18.

DOI: 10.22161/jhed.3.3.16

DOI: 10.1177/0022002184015004003

DOI: 10.1111/ntwe.12240

DOI: 10.1002/joe.22146

DOI: 10.1016/j.csi.2018.02.001

DOI: 10.1080/09523987.2018.1439712

DOI: 10.1080/03098265.2019.1694876

DOI: 10.1108/00251740510581902

Makovhololo, P (2017). Diffusion of innovation theory for information technology decision making in organisational strategy. Journal of Contemporary Management, 461-481.

Markova, M. (2019). E-commerce in the process of digital transformation: preparedness, requirements and technological tendencies. In Conferences of the department Informatics (No. 1, pp. 343-352). Publishing house Science and Economics Varna.

Meeds, R, D. L. (2016). The effects of cultural design style and information richness on consumers’ visual attention, comprehension and attitudes toward Arabic- Arabic-language websites. American Academy of Advertising. Conference. Proceedings (pp. 90-91). Lubbock: American Academy of Advertising.

DOI: 10.3390/su132112052

DOI: 10.17705/1CAIS.01533

DOI: 10.18421/TEM93-21

DOI: 10.4018/978-1-7998-2983-6.ch008

Ndayizigamiye Patrick, R. G. (2018). Inhibitors of the adoption of e-commerce by SMEs in two South African cities. International Journal of e-Business and e-Government Studies, 1-16.

Ndayizigamiye Patrick, R. G. (2019). Analysin the relationship between e-commerce enablers and e-commerce adoption: A case of SMEs in South Africa. ICSS, (pp. 262-272). Surabaya.

DOI: 10.1080/1097198X.2020.1792229

DOI: 10.1177/0972262920927940

DOI: 10.4018/JGIM.2020010101

DOI: 10.1007/s40821-016-0044-6

Rawash, H. N. (2021). E-commerce adopting TOE model by SMEs in Jordan. Multicultural Education, 7(3), 118-122.

DOI: 10.1123/kr.2018-0018

Roszi Naszariah Nasni Naseri, what is a Population in Online Shopping Research? A perspective from Malaysia.

DOI: 10.1016/j.worlddev.2015.11.005

DOI: 10.1016/j.compedu.2018.09.009

Sean T. McGann, K. L. (2002). Capturing the Dynamics of eBusiness Models: The eBusiness Analysis Framework and the Electronic Trading Infrastructure. 15th Bled Electronic Commerce Conference eReality: Constructing the economy (pp. 36-45). Bled, Slovenia, Bled Electronic Conference.

DOI: 10.1108/S1474-797920150000026002

DOI: 10.17705/1jais.00465

DOI: 10.6007/IJARAFMS/v11-i1/8987

DOI: 10.25115/eea.v39i5.4911

Traver, L. K. (2012). E-commerce. New Jersey: Pearson.

DOI: 10.1016/j.worlddev.2022.106027

Turkish Journal of Computer and Mathematics Education (TURCOMAT). Vol. 12 No. 4 (2021)

DOI: 10.1016/j.techfore.2021.120896

DOI: 10.1016/j.tele.2020.101400

Yasir Rashid, M. A. (2019). Factors affecting the e-commerce potential of any country using multiple regression analysis. Journal of Internet Banking and Commerce, 1–28.

DOI: 10.1177/0739456X17723971

DOI: 10.4018/978-1-7998-9155-0.ch027