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Source: Journal Citation ReportsTM from ClarivateTM 2022

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2022) 1.7
Journal Citation IndicatorTM (2022) 0.42
Received: 2022-03-30  |  Accepted: 2022-05-23  |  Published: 2022-06-30

Title

Task-technology fit perspective of the use of m-commerce by retail businesses


Abstract

Mobile commerce (m-commerce) has gradually increased in popularity among small and medium-sized retail businesses in developing countries in recent years. As a result, scholars and retail practitioners have been eager to understand better the factors that influence this new mobile channel usage. The article examines the primary determinants of retail personnel's use of m-commerce in Angola through the theoretical lens of Task-Technology Fit (TTF). This study followed a cross-sectional design and adopted the positivist research paradigm. As such, a structured questionnaire was used to collect data from retail business personnel and actual users of m-commerce (n = 229). Structural Equation Modeling (SEM) analysis was performed on the data collected using the Analysis of Moment Structures (AMOS) software. The findings indicated a strong correlation between the four dimensions of task characteristics (i.e., time criticality, mobility, non-routineness, and interdependence) and the task-technology fit dimensions. Additionally, it was determined that there is a strong correlation between the functionalities of m-commerce systems (i.e., Mobile Notification, Mobile Information Exchange, Mobile Information Search, and Mobile Data Processing) and the TTF dimensions. In comparison, the study discovered a minimal correlation between task-technology fit as correspondence and m-commerce use. As a result, some directions for future research were provided.


Keywords

mobile commerce (m-commerce), retailer, retailing, Small and Medium Enterprises (SMEs), mobile commerce application, Task-Technology Fit (TTF), Angola, Luanda


JEL classifications

M40 , M10 , M14 , M42


URI

http://jssidoi.org/jesi/article/974


DOI


Pages

320-335


Funding


This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Justino, Mateus Vicente
Cape Peninsula University of Technology, Cape Town, South Africa http://www.cput.ac.za
Articles by this author in: CrossRef |  Google Scholar

Tengeh, Robertson K.
Cape Peninsula University of Technology, Cape Town, South Africa http://www.cput.ac.za
Articles by this author in: CrossRef |  Google Scholar

Twum-Darko, Michael
Cape Peninsula University of Technology, Cape Town, South Africa http://www.cput.ac.za
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

9


Number

4


Issue date

June 2022


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 1210  |  PDF downloads: 575

References


Bartlett, J.E., Kotrlik, J.W. & Higgins, C.C. 2001. Organizational research: Determining appropriate sample size in survey research. Information Technology, Learning, and Performance Journal, 19(1), 43-50. https://doi.org/10.5032/jae.2002.03001

Search via ReFindit


Basole, R.C. 2004. The value and impact of mobile information and communication technologies. [12 September 2018]. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.590.2122&rep=rep1&type=pdf

Search via ReFindit


Bauböck, R. 2008. Normative political theory and empirical research In Porta, D.D. & Keating, M. (eds). Approaches and Methodologies in the Social Sciences: A Pluralist Perspective. Cambridge University Press, p. 40-60. https://doi.org/10.1017/CBO9780511801938.004

Search via ReFindit


Chau, N.T. & Deng, H. 2018. Critical Determinants for Mobile Commerce Adoption in Vietnamese SMEs: A Preliminary Study. ACIS 2018 Proceedings, 13. https://doi.org/10.5130/acis2018.am

Search via ReFindit


Chen, L. 2017. Understanding mobile work continuance of Chinese knowledge workers. In Proceedings of the 50th Hawaii International Conference on System Sciences, 5793-5801. https://doi.org/10.24251/HICSS.2017.698

Search via ReFindit


Cohen, L., Manion, L. & Morrison, K. 2007. Research methods in education. 6th ed. Milton Park, Abingdon: Routledge. https://doi.org/10.4324/9780203029053

Search via ReFindit


Daft, R.L. & Macintosh, N.B. 1981. A tentative exploration into the amount and equivocality of information processing in organizational work units. Administrative Science Quarterly, 26(2), 207-224. https://doi.org/10.2307/2392469

Search via ReFindit


Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340. https://doi.org/10.2307/249008

Search via ReFindit


DeLone, W.H. & McLean, E.R. 1992. Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60

Search via ReFindit


Dishaw, M.T. & Strong, D.M. 1999. Extending the technology acceptance model with task-technology fit constructs. Information & Management, 36(1), 9-21. 00101-3 https://doi.org/10.1016/S0378-7206(98)

Search via ReFindit


Finotto, V., Christine, M. & Procidano, I. 2020. Factors influencing the use of e-commerce in the agri-food sector: an analysis of Italian consumers. Department of Management, Università Ca'Foscari Venezia Working Paper, 1. https://doi.org/10.2139/ssrn.3522711

Search via ReFindit


Fishbein, M. & Ajzen, I. 1975. Belief, attitude, intentions and behaviour: An introduction to theory and research. Boston: Addison-Wesley.

Search via ReFindit


Franque, F.B., Oliveira, T., & Tam, C. 2022. Continuance intention of mobile payment: ttf model with trust in an African Context. Information Systems Frontiers Early Access MAR 2022 http://doi.org/10.1007/s10796-022-10263-8

Search via ReFindit


Gallagher, D., Ting, L. & Palmer, A. 2008. A journey into the unknown: taking the fear out of structural equation modeling with AMOS for the first-time user. The Marketing Review, 8(3), 255-275. https://doi.org/10.1362/146934708X337672

Search via ReFindit


Gamser, M. & Chenevix, M. 2020. How members are getting SMEs online - and out of danger. [19 May 2020]. https://www.smefinanceforum.org/post/how-members-are-getting-smes-online%E2%80%93and-out-of-danger

Search via ReFindit


Gatara, M. & Cohen, J.F. 2014. The mediating effect of task-technology fit on mHealth Tool use and community health worker performance in the Kenyan context. Proceedings of the 8th International Development Informatics Association Conference, Port Elizabeth, South Africa, 323-336.

Search via ReFindit


Gatara, M.C. 2016. Mobile technology-enabled healthcare service delivery systems for community health workers in Kenya: a technology-to-performance chain perspective. Unpublished PhD thesis, Johannesburg: University of the Witwatersrand.

Search via ReFindit


Gebauer, J. & Shaw, M.J. 2004. Success factors and impacts of mobile business applications: results from a mobile e-procurement study. International Journal of Electronic Commerce, 8(3), 19-41. https://doi.org/10.1080/10864415.2004.11044304

Search via ReFindit


Gebauer, J. 2008. User requirements of mobile technology: a summary of research results. Information Knowledge Systems Management, 7, 101-119.

Search via ReFindit


Gebauer, J., Shaw, M.J. & Gribbins, M.L. 2010. Task-technology fit for mobile information systems. Journal of Information Technology, 25(3), 259-272. https://doi.org/10.1057/jit.2010.10

Search via ReFindit


Gitau, L. & Nzuki, D. 2014. Analysis of Determinants of M-Commerce Adoption by Online Consumers. International Journal of Business, Humanities and Technology, 4(3), 88-94.

Search via ReFindit


Goddard, E. 2020. The impact of COVID-19 on food retail and foodservice in Canada: Preliminary assessment. Canadian Journal of Agricultural Economics, 1-5. https://doi.org/10.1111/cjag.12243

Search via ReFindit


Goodhue, D.L. & Thompson, R.L. 1995. Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236. https://doi.org/10.2307/249689

Search via ReFindit


Hair, J.F., Ringle, C.M. & Sarstedt, M. 2011. PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151. https://doi.org/10.2753/MTP1069-6679190202

Search via ReFindit


Jeyaraj, A. 2022. A meta-regression of task-technology fit in information systems research. International Journal of Information Management, 65, 102493. https://doi.org/10.1016/j.ijinfomgt.2022.102493

Search via ReFindit


Junglas, I.A. 2003. U-commerce: an experimental investigation of ubiquity and uniqueness. Unpublished PhD thesis. Athens, GA: University of Georgia.

Search via ReFindit


Justino, M., Tengeh, R. & Twum-Danko, M. 2021. A conceptual framework for the adoption of m-commerce by brick-and-mortar retailers. Focus on Research in Contemporary Economics, 2(2), 93-115.

Search via ReFindit


Kamble, S.S., Gunasekaran, A., Parekh, H. & Joshi, S. 2019. Modeling the internet of things adoption barriers in food retail supply chains. Journal of Retailing and Consumer Services, 48, 154-168. https://doi.org/10.1016/j.jretconser.2019.02.020

Search via ReFindit


Klopping, I.M. & McKinney, E. 2004. Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Information Technology, Learning & Performance Journal, 22(1), 35-48.

Search via ReFindit


Lee, C.C., Cheng, H.K. & Cheng, H.H. 2007. An empirical study of mobile commerce in insurance industry: task-technology fit and individual differences. Decision Support Systems, 43(1), 95-110. https://doi.org/10.1016/j.dss.2005.05.008

Search via ReFindit


Lee, K.C., Lee, S. & Kim, J.S. 2004. Analysis of mobile commerce performance by using the task-technology fit. In IFIP Working Conference on Mobile Information Systems, 135-153. https://doi.org/10.1007/0-387-22874-8_10

Search via ReFindit


Lembach, M. & Lane, M.S. 2011. The fit of mobile work support functionalities with pharmaceutical sales-force worker tasks. In Proceedings of the 11th International Conference on Electronic Business, 346-353.

Search via ReFindit


Liang, T.P. & Wei, C.P. 2004. Introduction to the special issue: mobile commerce applications. International Journal of Electronic Commerce, 8(3), 7-17. https://doi.org/10.1080/10864415.2004.11044303

Search via ReFindit


McGill, T.J. & Klobas, J.E. 2009. A task-technology fit view of learning management system impact. Computers and Education, 52(2), 496-508. https://doi.org/10.1016/j.compedu.2008.10.002

Search via ReFindit


Prabowo, R.J., Hidayanto, A.N., Sandhyaduhita, P.I., Azzahro, F. & Chairunnisa, A. 2018. The Determinants of User's Intention to Adopt Hyper-Converged Infrastructure Technologies: An Integrated Approach. In 2018 International Conference on Information Technology Systems and Innovation (ICITSI), 306-311. IEEE. https://doi.org/10.1109/ICITSI.2018.8695940

Search via ReFindit


Rogers, E. 1995. Diffusion of innovations. 4th ed. New York: The Free Press.

Search via ReFindit


Shih, Y.Y. & Chen, C.Y. 2013. The study of behavioral intention for mobile commerce: via integrated model of TAM and TTF. Quality & Quantity, 47(2), 1009-1020. https://doi.org/10.1007/s11135-011-9579-x

Search via ReFindit


Stair, R., Reynolds, G. & Chesney, T. 2008. Principles of business information systems. Wellington: Bridget Williams Books.

Search via ReFindit


Strong, D.M., Dishaw, M.T. & Bandy, D.B. 2006. Extending task technology fit with computer self-efficacy. ACM SIGMIS Database: The Database for Advances in Information Systems, 37(2-3), 96-107. https://doi.org/10.1145/1161345.1161358

Search via ReFindit


Teo, T.S. & Men, B. 2008. Knowledge portals in Chinese consulting firms: a task-technology fit perspective. European Journal of Information Systems, 17(6), 557-574. https://doi.org/10.1057/ejis.2008.41

Search via ReFindit


Venkatesh, V., Morris M., Davis G. & Davis F. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540

Search via ReFindit


Venkatraman, N. 1989. The concept of fit in strategy research: toward verbal and statistical correspondence. Academy of Management Review, 14(3), 423-444. https://doi.org/10.2307/258177

Search via ReFindit


Verhoef, P.C., Kannan, P.K. & Inman, J.J. 2015. From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174-181. https://doi.org/10.1016/j.jretai.2015.02.005

Search via ReFindit


Vongjaturapat, S. 2018. Application of the task-technology fit model to structure and evaluation of the adoption of smartphones for online library systems. Science & Technology Asia, 23(1), 39-56.

Search via ReFindit


Wang, X.Q., Wong, Y.D., Chen, T.Y. & Yuen, K.F. 2021. Adoption of shopper-facing technologies under social distancing: A conceptualisation and an interplay between task-technology fit and technology trust. Computers In Human Behavior, 124 Article Number, 106900 http://doi.org/10.1016/j.chb.2021.106900

Search via ReFindit


Yen, D.C., Wu, C.S., Cheng, F.F. & Huang, Y.W. 2010. Determinants of users' intention to adopt wireless technology: An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26(5), 906-915. https://doi.org/10.1016/j.chb.2010.02.005

Search via ReFindit


Yuan, Y., Archer, N., Connelly, C.E. & Zheng, W. 2010. Identifying the ideal fit between mobile work and mobile work support. Information & Management, 47(3), 125-137. https://doi.org/10.1016/j.im.2009.12.004

Search via ReFindit


Zhang, H., Zhan, R.T., Abd Rahman, A., Chen, L., Yin, Z.Y., & Yin, J. 2021. Influence of task-technology fit on consumer perceived value from the perspectives of man-machine interaction and interpersonal interaction. Transformations In Business & Economics, 20(2A), 515-538.

Search via ReFindit


Zhao, H. 2016. Creating an inclusive digital economy is vital to achieving the SDGs. International Trade Forum, 2, 18-19. https://doi.org/10.18356/391a8b22-en

Search via ReFindit


Zheng, W. 2007. The nature of mobile work and the needs for mobile work technology support: a task-technology fit perspective. Unpublished Doctoral thesis. Hamilton: McMaster University of Business Administration.

Search via ReFindit