ABSTRACT
This article aimed to investigate the factors that may impact the adoption of digital finance within Small and Medium Enterprises (SMEs). Using the Technology-Organization-Environment (TOE) Theory and the Net Valence (NV) Model, the study categorizes predictors into technological, environmental, and organizational factors. Findings highlight the significant effects of perceived benefits and risks, environmental factors, and organizational characteristics, notably human resource quality. The study collected data via a questionnaire survey from 313 Malaysian SMEs engaged in exporting, employing Partial Least Squares Structural Equation Modelling (PLS-SEM) for analysis. The implications of this study extend to policymakers, industry practitioners, and researchers, offering insights for policy formation, acknowledging the main factors that might affect digital finance adoption, assisting in the creation of tailored financial models to boost the companies' performance, providing SMEs with strategic understanding regarding the benefits of embracing digital finance for enhanced competitiveness, and aiding developers of digital finance solutions in addressing adoption barriers, thus tailoring solutions to meet SMEs' specific needs.
- Abbasi T., Weigand H. (2017). The Impact of Digital Financial Services on Firm's Performance: a Literature Review, International Business Research, Canadian Center of Science and Education (CCSE), 12(10).Google Scholar
- Abed S. S. (2020). Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs, International Journal of Information Management, 53.Google ScholarCross Ref
- Abramova S. and Böhme R. (2016), Perceived Benefit and Risk as Multidimensional Determinants of Bitcoin Use: A Quantitative Exploratory Study. International Conference on Interaction Sciences.Google ScholarCross Ref
- Ahmadi, H., & Helander, N. (2019). The role of technology turbulence in market orientation, dynamic capabilities, and business performance. Journal of Business Research, 97, 212-223.Google Scholar
- Aisaiti G., Liu L., Xie J., Yang J. (2019). An empirical analysis of rural farmers’ financing intention of inclusive finance in China, Industrial Management & Data Systems, 119(7), 1535-1563.Google ScholarCross Ref
- Aitken, A., & Cumming, D. (2015). Technological Innovation and Entrepreneurship in Fintech: Emerging Research and Opportunities. Journal of Private Equity, 18(3), 7-8. Al-Herwi S. (2019). What are SMEs?, Lebanese International University.Google Scholar
- Alsetoohy, O., Ayoun, B., Arous, S., Megahed, F. and Nabil, G. (2019), Intelligent agent technology: what affects its adoption in hotel food supply chain management, Journal of Hospitality and Tourism Technology, 10(3), 286-310.Google ScholarCross Ref
- Asiaei A. and Ab. Rahim N.Z. (2019), A multifaceted framework for adoption of cloud computing in Malaysian SMEs, Journal of Science and Technology Policy Management, 10(3), 708-750.Google ScholarCross Ref
- Bagozzi, R. and Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Sciences, 16, 74-94.Google ScholarCross Ref
- Baig M. I., Shuib L., Yadegaridehkordi E. (2019). Big data adoption: State of the art and research challenges, Information Processing & Management, 56(6).Google ScholarDigital Library
- Baker, J. (2011). The Technology–Organization–Environment Framework. 10.1007/978-1-4419-6108-2_12.Google Scholar
- Banalieva E. R., Dhanaraj C. (2019). Internationalization theory for the digital economy, Journal of International Business Studies, 50, 1372–1387.Google ScholarCross Ref
- Benlian A., Hess T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives, Decision Support Systems, 52(1), 232-246.Google ScholarDigital Library
- Bianchi C., Glavas C., Mathews S. (2017). SME international performance in Latin America, Journal of Small Business and Enterprise Development, 24(1), 176-195.Google ScholarCross Ref
- Breidbach, C. F., Brodie, R. J., Hollebeek, L. D., & Smith, A. N. (2019). Understanding the role of digital strategic resource allocations in guiding business model innovation in SMEs. Industrial Marketing Management, 77, 44-58.Google Scholar
- Caldarelli, G., Zardini, A. and Rossignoli, C. (2021). Blockchain adoption in the fashion sustainable supply chain: Pragmatically addressing barriers, Journal of Organizational Change Management, 34(2), 507-524.Google ScholarCross Ref
- Chaplin H. (2015, March). An Investigation of the Barriers to Internationalization Faced by Young Technology-Intensive Firms, New Technology-Based Firms in the New Millennium.Google Scholar
- Chau N. T., Deng H. & Tay R. (2020). Critical determinants for mobile commerce adoption in Vietnamese small and medium-sized enterprises, Journal of Marketing Management, 36(5-6), 456-487.Google ScholarCross Ref
- Chen M., Chang K., Hsu C., Xiao J. (2015). Applying a Kansei engineering-based logistics service design approach to developing international express services, International Journal of Physical Distribution & Logistics Management, 45(6), 618-646.Google ScholarCross Ref
- Chiu, I. C., Huang, H. W., & Liu, C. H. (2019). Fintech, Financing, and Firm Performance: Evidence from SMEs in China. International Journal of Economics, Commerce, and Management, 7(1), 1-10.Google Scholar
- Clohessy T., Acton T. (2019). Investigating the influence of organizational factors on blockchain adoption: An innovation theory perspective, Industrial Management & Data Systems, Retrieved from https://doi.org/10.1108/IMDS-08-2018-0365.Google ScholarCross Ref
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.Google Scholar
- Daradkeh M. K. (2019). Determinants of Self-Service Analytics Adoption Intention: The Effect of Task-Technology Fit, Compatibility, and User Empowerment, Journal of Organizational and End User Computing, 31, 19-45.Google ScholarDigital Library
- Davis G. F., & DeWitt T. (2021). Organization Theory and the Resource-Based View of the Firm: The Great Divide. Journal of Management, 47(7), 1684–1697.Google ScholarCross Ref
- Deb M. and Lomo-David E. (2014), An empirical examination of customers’ adoption of m-banking in India, Marketing Intelligence & Planning, 32(4), 475-494.Google ScholarCross Ref
- Divakara S. & Surangi H.A.K.N.s. (2018). A literature Review on Small & Medium size Enterprises, Third Asia -Pacific Conference on Multidisciplinary Research.Google Scholar
- Durst, S., Edvardsson, I.R. and Foli, S. (2023). Knowledge management in SMEs: a follow-up literature review, Journal of Knowledge Management, 27(11), 25-58.Google ScholarCross Ref
- Fairouz H., Wickramasinghe C. N. (2019). Innovation and Development of Digital Finance: A Review on Digital Transformation in Banking & Financial Sector of Sri Lanka, Asian Journal of Economics, Finance and Management 1(2), 69-78, Article no.AJEFM.105.Google Scholar
- Farivar S. and Yuan Y. (2014). The Dual Perspective of Social Commerce Adoption, SIGHCI 2014 Proceedings. 18.Google Scholar
- Fernandes, C., Veiga, P.M. and Gerschewski, S. (2023). SME internationalisation: past, present and future trends, Journal of Organizational Change Management, 36(1), 144-161.Google ScholarCross Ref
- Geisser, S. (1974). A Predictive Approach to the Random Effect Model. Biometrika, 61, 101-107.Google ScholarCross Ref
- Gomez S. M., Mendoza O. E. O., Ramirez J., Olivas-Lujan M. R. (2020). Stress and Myths related to the Covid-19 pandemic's effects on remote work, Management Research: Journal of Iberoamerican Academy of Management, 18(4), 401-420.Google Scholar
- Gupta B.B., Yamaguchi, S. & Agrawal, D.P. (2018). Advances in Security and Privacy of Multimedia Big Data in Mobile and Cloud Computing. Computational Methods and Applied Sciences, 77, 9203–9208.Google Scholar
- Gupta, K., Wajid, A. & Gaur, D (2023). Determinants of continuous intention to use FinTech services: the moderating role of COVID-19, Journal of Financial Services Marketing.Google ScholarCross Ref
- Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2019). When to use and how to report the results of PLS-SEM, European Business Review, 31(1), 2-24.Google ScholarCross Ref
- Hollensen S. (2016). Global Marketing, seventh edition, ISBN-13: 978-1292100111.Google Scholar
- Hu L., Galli M. and Sebastiani R. (2023). How digital platforms affect the internationalisation of wine firms in China, International Journal of Retail & Distribution Management.Google ScholarCross Ref
- Huang C. K., Lee N. Ch., Chen W. Ch. (2022), Dilemmatic dual-factor determinants of discontinuous intention in cryptocurrency usage, Information Technology & People, 0959-3845.Google Scholar
- Hossain, Mohammad & Quaddus, Mohammed. (2011). The adoption and continued usage intention of RFID: An integrated framework, Information Technology & People, 24. 236-256. 10.1108/09593841111158365.Google ScholarCross Ref
- Huang C. K., Lee N. Ch., Chen W. Ch. (2022), Dilemmatic dual-factor determinants of discontinuous intention in cryptocurrency usage, Information Technology & People, 0959-3845.Google Scholar
- Jain N., Raman T.V. (2022). The interplay of perceived risk, perceive benefit and generation cohort in digital finance adoption, EuroMed Journal of Business, 1450-2194.Google Scholar
- Jin H., Hurd F. (2018). Exploring the Impact of Digital Platforms on SME Internationalization: New Zealand SMEs Use of the Alibaba Platform for Chinese Market Entry, Journal of Asia-Pacific Business, 19(2), 72-95.Google ScholarCross Ref
- Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.Google Scholar
- Kurum, E. (2023), RegTech solutions and AML compliance: what future for financial crime, Journal of Financial Crime, 30(3), 776-794.Google ScholarCross Ref
- Lee H., Park H., Kim J. (2013). Why do people share their context information on Social Network Services? A qualitative study and an experimental study on users' behavior of balancing perceived benefit and risk, International Journal of Human-Computer Studies, 71(9), 862-877.Google ScholarDigital Library
- Li R., Zheng L., Yuan L. (2022). TMT's decision-making on adoption of management innovation, Journal of Organizational Change Management, 35(7), 1061-1088.Google ScholarCross Ref
- Li Z., Wang W.M., Liu G., Liu L., He J., Huang G.Q. (2018). Toward open manufacturing: A cross-enterprises knowledge and services exchange framework based on blockchain and edge computing, Industrial Management & Data Systems, 118(1), 303-320.Google ScholarCross Ref
- Lokuge S., Sedera D., Grover V., Dongming X. (2019). Organizational readiness for digital innovation: Development and empirical calibration of a construct, Information & Management, 56(3), 445-461.Google ScholarDigital Library
- Lundberg H. (2019). Bank relationships’ contributions to SME export performance, International Journal of Bank Marketing, https://doi.org/10.1108/IJBM-05-2018-0115.Google ScholarCross Ref
- Maroufkhani P., Iranmanesh M. and Ghobakhloo M. (2022), Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs), Industrial Management & Data Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IMDS-11-2021-0695.Google ScholarCross Ref
- Maroufkhani P., Tseng M., Iranmanesh M., Khairuzzaman W. I. W., Khalid H. (2020). Big data analytics adoption: Determinants and performances among small to medium-sized enterprises, International Journal of Information Management, 54.Google ScholarCross Ref
- Matikiti, R., Mpinganjira, M. & Roberts-Lombard, M., 2018, ‘Application of the Technology Acceptance Model and the Technology– Organisation–Environment Model to examine social media marketing use in the South African tourism industry’, South African Journal of Information Management 20(1), a790. https://doi.org/10.4102/ sajim.v20i1.790Google ScholarCross Ref
- McHugh P., Domegan C. (2017). Evaluate development! Develop evaluation! Answering the call for a reflexive turn in social marketing, Journal of Social Marketing, 7(2), 135-155.Google ScholarCross Ref
- Memon AH, Rahman IA. (2014). SEM-PLS analysis of inhibiting factors of cost performance for large construction projects in Malaysia: perspective of clients and consultants. Scientific World Journal, doi: 10.1155/2014/165158. PMID: 24693227; PMCID: PMC3947800.Google ScholarCross Ref
- Mengist W., Soromessa T., Legese G. (2020). Method for conducting systematic literature review and meta-analysis for environmental science research, MethodsX, 7, 100777, ISSN 2215-0161.Google ScholarCross Ref
- Ng, A.W. and Kwok, B.K.B. (2017). Emergence of Fintech and cybersecurity in a global financial centre: Strategic approach by a regulator, Journal of Financial Regulation and Compliance, 25(4), 422-434.Google ScholarCross Ref
- Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.Google Scholar
- Ozili P. K. (2018). Impact of digital finance on financial inclusion and stability, Borsa Istanbul Review, 18(4), 329-340.Google ScholarCross Ref
- Ozturk A.B. (2016). Customer acceptance of cashless payment systems in the hospitality industry, International Journal of Contemporary Hospitality Management, Vol. 28 No. 4, pp. 801-817.Google ScholarCross Ref
- Perez-Moron J. (2021). Eleven years of cyberattacks on Chinese supply chains in an era of cyber warfare, a review and future research agenda, Journal of Asia Business Studies, ahead-of-print. 10.1108/JABS-11-2020-0444.Google Scholar
- Pratono A. H. (2016). Strategic orientation and information technological turbulence, Business Process Management Journal, 22(2), 1-15.Google ScholarCross Ref
- Rijanto A. (2021). Business financing and blockchain technology adoption in agroindustry, Journal of Science and Technology Policy Management, 12(2), 215-235.Google ScholarCross Ref
- Rubino M., Vitolla F., Raimo N. and Garcia-Sanchez I.-M. (2020), Cross-country differences in European firms’ digitalisation: the role of national culture, Management Decision, 58(8), 1563-1583.Google ScholarCross Ref
- Ryu H. (2018). Understanding Benefit and Risk Framework of Fintech Adoption: Comparison of Early Adopters and Late Adopters, Proceedings of the Conference on System Sciences.Google ScholarCross Ref
- Ryu H. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type, Industrial Management & Data Systems, 118(3), 541-569.Google ScholarCross Ref
- Sharma S.K. and Sharma M. (2019), Examining the role of trust and quality dimensions in the actual usage of mobile banking services: an empirical investigation, International Journal of Information Management, 44, 65-75.Google ScholarCross Ref
- Song H., Han S., Liu W. and Ganguly A. (2023). What role do FinTech companies play in supply chain finance? A signaling intermediary perspective, Journal of Business & Industrial Marketing, 38(6), 1279-1294.Google ScholarCross Ref
- Stewart H., Jurjens J. (2017). Data security and consumer trust in FinTech innovation in Germany, Information and Computer Security, 26(1), 109-128.Google ScholarCross Ref
- Stone, M. (1974). Cross-Validatory Choice and Assessment of Statistical Predictions. Journal of the Royal Statistical Society. Series B (Methodological), 36(2), 111-147. doi: 10.2307/2984809.Google ScholarCross Ref
- Streukens, S. and Leroi-Werelds, S. (2016). Bootstrapping and Pls-Sem: A Step-by-Step Guide to Get More out of Your Bootstrap Results. European Management Journal, 34, 618-632.Google ScholarCross Ref
- Tweneboah-Koduah S., Endicott-Popovsky B., Tsetse A. (2014, August). Barriers to Government Cloud Adoption, International Journal of Managing Information Technology.Google Scholar
- Vadana I., Kuivalainen O., Torkkeli L., Saarenketo S. (2021). The Role of Digitalization on the Internationalization Strategy of Born-Digital Companies. Sustainability. 13. 14002. 10.3390/su132414002.Google ScholarCross Ref
- Verma, S. and Bhattacharyya, S.S. (2017), Perceived strategic value-based adoption of Big Data Analytics in emerging economy: A qualitative approach for Indian firms, Journal of Enterprise Information Management, 30(3), 354-382.Google ScholarCross Ref
- Wamba-Taguimdje S. L., Fosso W., Robert S. & J., Kala K. & T., Chris E. (2020). Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-based Transformation Projects. Business Process Management Journal. ahead-of-print. 10.1108/BPMJ-10-2019-0411.Google Scholar
- Wang Y. M., Wang Y. Sh., Yang Y. F. (2010). Understanding the determinants of RFID adoption in the manufacturing industry, Technological Forecasting and Social Change, 77(5), 803-815.Google ScholarCross Ref
- Yermack, D. (2017). Corporate Governance and Blockchains. Review of Finance, 21(1), 7-31.Google Scholar
- Zalan T. (2018). Born global on blockchain, Review of International Business and Strategy, 28(1), 19-34.Google ScholarCross Ref
- Zavolokina, L., Dolata M. & Schwabe G. (2016). The FinTech phenomenon: antecedents of financial innovation perceived by the popular press. Financial Innovation. 2. 16. 10.1186/s40854-016-0036-7.Google Scholar
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