International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

line decor
  
line decor

 Volume 10, Issue 11 (November 2023), Pages: 49-58

----------------------------------------------

 Original Research Paper

Influence of UTAUT, perceived compatibility, and perceived credibility on m-commerce adoption

 Author(s): 

 Syazwani Yahaya 1, *, Siti Norasyikin Abdul Hamid 2, Siti Noratisah Mohd Nafi 2

 Affiliation(s):

 1School of Business, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia
 2School of Business Management, Northern University of Malaysia, Kedah, Malaysia

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-6515-9798

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2023.11.007

 Abstract

The adoption of mobile commerce (m-commerce) transaction is still not equal to an extremely potential market for online business in developing countries such as Malaysia. This research aims to examine the adoption of m-commerce transaction by SMEs in the service sector by extending the unified theory of acceptance and use of technology (UTAUT). Additional variables of perceived compatibility and perceived credibility were added to the traditional UTAUT which originally consisted of performance expectancy, effort expectancy, social influence, and facilitating conditions. Therefore, the purpose of this study is to examine the relationship between performance expectancy, effort expectancy, social influence, facilitating conditions, perceived compatibility and perceived credibility toward m-commerce adoption. This study implemented a quantitative approach and the data was collected from 245 SMEs who had previously used m-commerce. The result shows that performance expectancy, perceived compatibility, and perceived credibility have a significant influence on SMEs' mobile adoption, whereas effort expectancy, social influence, and facilitating conditions don't have a significant influence on SMEs' m-commerce adoption. In fact, SME owners believe that using electronic money in their business operations will improve their performance. IT professionals could intensify efforts to deploy m-commerce technology in the business organization to enhance productivity performance improvement of m-commerce transaction adoption. In fact, companies would benefit by making m-commerce transaction systems more helpful, secure, and compatible to use. By recognizing the factors that influence the adoption of m-commerce could help in addressing the challenges and barriers they present. Therefore, this research confirms the need to extend the traditional UTAUT in terms of m-commerce adoption.

 © 2023 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Mobile commerce, M-commerce adoption, Mobile commerce transaction, SME, UTAUT

 Article history

 Received 4 April 2023, Received in revised form 16 September 2023, Accepted 21 October 2023

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Yahaya S, Abdul Hamid SN, and Mohd Nafi SN (2023). Influence of UTAUT, perceived compatibility, and perceived credibility on m-commerce adoption. International Journal of Advanced and Applied Sciences, 10(11): 49-58

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2

 Tables

 Table 1 Table 2 Table 3 Table 4

----------------------------------------------   

 References (33)

  1. Alam SS, Nor NGM, Ali MH, Omar NA and Wel CAC (2018). Relationship between entrepreneur's traits and cloud computing adoption among Malay-owned SMEs in Malaysia. Cuadernos de Gestión, 18(2): 115-132. https://doi.org/10.5295/cdg.140515ss   [Google Scholar]
  2. Albashrawi M and Motiwalla L (2020). An integrative framework on mobile banking success. Information Systems Management, 37(1): 16-32. https://doi.org/10.1080/10580530.2020.1696530   [Google Scholar]
  3. Blaise R, Halloran M, and Muchnick M (2018). Mobile commerce competitive advantage: A quantitative study of variables that predict m-commerce purchase intentions. Journal of Internet Commerce, 17(2): 96-114. https://doi.org/10.1080/15332861.2018.1433911   [Google Scholar]
  4. Chopdar PK and Sivakumar VJ (2019). Impulsiveness and its impact on behavioural intention and use of mobile shopping apps: A mediation model. International Journal of Business Innovation and Research, 19(1): 29-56. https://doi.org/10.1504/IJBIR.2019.099754   [Google Scholar]
  5. Chye LT (2012). Entrepreneurial orientation and managerial competence: Are they complementary or contradictory to SME performance in Malaysia. Ph.D. Dissertation, University of Newcastle, Newcastle, Australia.   [Google Scholar]
  6. Dwivedi YK, Rana NP, Jeyaraj A, Clement M, and Williams MD (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3): 719-734. https://doi.org/10.1007/s10796-017-9774-y   [Google Scholar]
  7. Farah MF, Hasni MJS, and Abbas AK (2018). Mobile-banking adoption: Empirical evidence from the banking sector in Pakistan. International Journal of Bank Marketing, 36(7): 1386-1413. https://doi.org/10.1108/IJBM-10-2017-0215   [Google Scholar]
  8. Gunawan H, Sinaga BL, and WP SP (2019). Assessment of the readiness of micro, small and medium enterprises in using e-money using the unified theory of acceptance and use of technology (UTAUT) method. Procedia Computer Science, 161: 316-323. https://doi.org/10.1016/j.procs.2019.11.129   [Google Scholar]
  9. Ha H and Chuah CP (2023). Digital economy in Southeast Asia: Challenges, opportunities and future development. Southeast Asia: A Multidisciplinary Journal, 23(1): 19-35. https://doi.org/10.1108/SEAMJ-02-2023-0023   [Google Scholar]
  10. Hair JF, Risher JJ, Sarstedt M, and Ringle CM (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1): 2-24. https://doi.org/10.1108/EBR-11-2018-0203   [Google Scholar]
  11. Hashim AB (2019). Leadership behaviour, entrepreneurial orientation and organisational performance in Malaysian small and medium enterprises. Ph.D. Dissertation, Sultan Idris Education University, Perak, Malaysia. https://doi.org/10.5539/ibr.v11n9p37   [Google Scholar]
  12. Khaskheli A, Jun Y, and Bhuiyan MA (2017). M-commerce and mobile apps: Opportunities for MSMEs in developing countries. Marketing, 2(2): 20-23. https://doi.org/10.18775/jibrm.1849-8558.2015.22.3003   [Google Scholar]
  13. Kurnia S, Choudrie J, Mahbubur RM, and Alzougool B (2015). E-commerce technology adoption: A Malaysian grocery SME retail sector study. Journal of Business Research, 68(9): 1906-1918. https://doi.org/10.1016/j.jbusres.2014.12.010   [Google Scholar]
  14. Kwok M (2015). Examining factors affecting adoption of mobile commerce by young consumers in China. Ph.D. Dissertation, Faculty of Business and Law, University of Newcastle, Newcastle, Australia.   [Google Scholar]
  15. Luqman A, Razak RC, Ismail M, and Alwi MAM (2016). The influence of individual characteristics in predicting mobile commerce usage activities' continuance intention. Journal of Entrepreneurship and Business (JEB), 4(2): 54-69. https://doi.org/10.17687/JEB.0402.05   [Google Scholar]
  16. Madan K and Yadav R (2018). Understanding and predicting antecedents of mobile shopping adoption: A developing country perspective. Asia Pacific Journal of Marketing and Logistics, 30(1): 139-162. https://doi.org/10.1108/APJML-02-2017-0023   [Google Scholar]
  17. Mahad M (2015). Factors influencing the acceptance of mobile banking services among students of higher education at Klang Valley in Malaysia. Ph.D. Dissertation, Universiti Utara Malaysia, Kedah, Malaysia.   [Google Scholar]
  18. Mamun AA (2018). Diffusion of innovation among Malaysian manufacturing SMEs. European Journal of Innovation Management, 21(1): 113-141. https://doi.org/10.1108/EJIM-02-2017-0017   [Google Scholar]
  19. Mensah IK, Zeng G, and Mwakapesa DS (2022). The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy. Frontiers in Public Health, 10: 1020474. https://doi.org/10.3389/fpubh.2022.1020474   [Google Scholar] PMid:36238232 PMCid:PMC9553028
  20. Min Q, Ji S, and Qu G (2008). Mobile commerce user acceptance study in China: a revised UTAUT model. Tsinghua Science and Technology, 13(3): 257-264. https://doi.org/10.1016/S1007-0214(08)70042-7   [Google Scholar]
  21. Osman H (2016). A trading model and security regime for mobile e-commerce via ad hoc wireless networking. Ph.D. Dissertation, Heriot-Watt University, Edinburgh, UK.   [Google Scholar]
  22. Palau-Saumell R, Forgas-Coll S, Sánchez-García J, and Robres E (2019). User acceptance of mobile apps for restaurants: An expanded and extended UTAUT-2. Sustainability, 11(4): 1210. https://doi.org/10.3390/su11041210   [Google Scholar]
  23. Rana NP, Barnard DJ, Baabdullah AM, Rees D, and Roderick S (2019). Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM. International Journal of Information Management, 44: 141-153. https://doi.org/10.1016/j.ijinfomgt.2018.10.009   [Google Scholar]
  24. Salimon M, Mokthar S, Yusr M, Yusoff R, Kareem O, and Bamgbade J (2018). Do risk and fun matter in the adoption of mobile commerce in Nigeria? APLS-SEM approach. Management Science Letters, 8(6): 507-518. https://doi.org/10.5267/j.msl.2018.5.004   [Google Scholar]
  25. Sultana J (2020). Determining the factors that affect the uses of mobile cloud learning (MCL) platform blackboard-A modification of the UTAUT model. Education and Information Technologies, 25(1): 223-238. https://doi.org/10.1007/s10639-019-09969-1   [Google Scholar]
  26. Tarhini A, El-Masri M, Ali M, and Serrano A (2016). Extending the UTAUT model to understand the customers’ acceptance and use of Internet banking in Lebanon: A structural equation modeling approach. Information Technology and People, 29(4): 830-849. https://doi.org/10.1108/ITP-02-2014-0034   [Google Scholar]
  27. Venkatesh V, Morris MG, Davis GB, and Davis FD (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3): 425-478. https://doi.org/10.2307/30036540   [Google Scholar]
  28. Venkatesh V, Thong JY, and Xu X (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1): 157-178. https://doi.org/10.2307/41410412   [Google Scholar]
  29. Wei TT, Marthandan G, Chong AYL, Ooi KB, and Arumugam S (2009). What drives Malaysian m-commerce adoption? An empirical analysis. Industrial Management and Data Systems, 109(3): 370-388. https://doi.org/10.1108/02635570910939399   [Google Scholar]
  30. Wong SM, Leong CM, and Puah CH (2020). Mobile Internet adoption in Malaysian suburbs: The moderating effect of gender. Asian Journal of Business Research, 9(3): 90-114. https://doi.org/10.14707/ajbr.190069   [Google Scholar]
  31. Yahaya S, Hamid SNA, and Nafi SNM (2022). Determinants for m-commerce adoption in Malaysian SMEs: A conceptual framework. International Journal of Business and Economy, 4(1): 138-149.   [Google Scholar]
  32. Yap CS and Hii JWH (2009). Factors affecting the adoption of mobile commerce in Malaysia. IUP Journal of Information Technology, 5(3): 24-37.   [Google Scholar]
  33. Zur R and Syukor SA (2018). Mass customization practices of Malaysian SMEs apparel sector: An exploratory survey. In the Customization 4.0: Proceedings of the 9th World Mass Customization and Personalization Conference, Springer International Publishing, Aachen, Germany: 657-669. https://doi.org/10.1007/978-3-319-77556-2_42   [Google Scholar]