Christian Herdinata, Trianggoro Wiradinata, Sonata Christian, Auditia Setiobudi


The rapid development of internet technology with affordable prices raises new opportunities for micro, small, and medium enterprises (SMEs) in East Java in creating product innovation and marketing development. Various studies in the field of entrepreneurship and information technology have been carried out, but not many studies specifically examine the level of adoption of the Financial Technology system for business creation and development. This study focuses on the influence of organizational competence, organizational support, organizational productivity on financial technology adoption. This study uses a quantitative approach with a sample of SME businesses that use financial technology system adoption in the business that is run. The sample chosen using purposive sampling technique and selected 402 SMEs in East Java with the data analysis technique used is multiple linear regression techniques. The results of this study found that the influence of organizational competence, organizational support, and organizational productivity had a significant influence on financial technology adaptation.


financial technology adoption; organizational competency; organizational support; organizational productivity

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Al-Qirim, N.A.Y. 2003. E-Commerce in the Aerial Mapping Industry: A New Zealand Case Study. Journal of Systems and Information Technology, 7(1/2), pp.67–92.

Asia Internet Usage Stats Facebook and Population Statistics. 2017. [On line]. From: http:// www.internetworldstats.com/stats3.htm.

Basu, S. and Fernald, J. 2008. Information and communications technology as a general purpose technology: Evidence from U.S. industry data. Economic Review. Federal Reserve Bank of San Francisco, 115.

Boudreau, M., Gefen, D., and Straub, D. 2001. Validation in IS Research: A State-of-the-Art Assessment. MIS Quarterly 25(1), 1-16.

Bruggink, D. and Mouilleron, E. 2016. Interview Success Factor for the deployment o financial technology: An Interview with Eric Mouilleron. Journal of Payments Strategy and Systems 10(4), 396-400.

Campenon, B. 2016. Quasi-Experimentation: Design and Analysis Issues for Field Settings. Boston MA: Houghton Mifflin Co.

Chin, M. D. and Fairlie, R. W. 2007. The determinants of the global digital divide: A cross country analysis of computer and internet penetration. Oxford Economic Papers, 59(1), 16-44.

Cook, T. D. and Campbell, D.T. 1979. Fintech and the future of securities services. Journal of Securities Operations andCustody, 8(2), 107-112.

Cragg, P. B. and King, M. 1993. Small-Firm Computing: Motivators and Inhibitors. MIS quarterly, 17(1), pp.47–61.

Dapp, T. 2011. The digital society. New ways to more transparency, participation, and innovation. Current issues. Deutsche Bank Research. Frankfurt am Main.

Gangwar, H., Date, H., and Ramaswamy, R. 2015. Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107– 130.

Ghobakhloo, M., Arias-Aranda, D. and Benitez-Amado, J. 2011. Adoption of e-commerce applications in SMEs. Industrial Management and Data Systems, 111(8), pp.1238–1269. [On line]. From: at: http://www.emeraldinsight.com/10.1108/02635571111170785 [February 28, 2013].

Kuan, K. K. Y. and Chau, P. Y. K. 2001. A perceptionbased model for EDI adoption in small businesses using a technology–organization–environment framework. Information and Management, 38(8), pp.507–521. Available at: http://linkinghub.elsevier.com/retrieve/pii/S0378720601000738.

Madon, S. 2000. The internet and socioeconomic development: Exploring the interaction. Information Technology and People, 13(2), 85-101.

Mukherjee, J. 2015. Mobile Money Adopion in India: Evidence from early adopters of technology. Vilakshan, XIMB Journal of Management, 12(2), 95118. [On line]. From: hhtp://search.ebscohost.com/ login.aspx?direct=trueanddb=bthandAN=113703134 and site=ehost-live.

Neuman, W. L. 2006. Social Research Methods, Qualitative and Quantitative Approaches (6th Ed.). Boston: Allyn and Bacon.

OECD. 2012. OECD Economic Surveys: Indonesia 2012. OECD Publishing. [On line]. From: http://dx.doi.org/ 10.1787/eco_surveys-idn-2012-en.

Pearson, J. M. and Grandon, E. E. 2005. An Empirical Study of Factors That Influence E-Commerce Adoption / Non-Adoption in Small and Medium Sized Businesses. Journal of Internet Commerce, 4(4), 1– 21. doi:10.1300/J179v04n04

Puri, S. 2007. Integrating scientific with indigenous knowledge: Constructing knowledge alliances for land management in India. MIS Quarterly, 31(2), 355-379.

Ramdani, B., Kawalek, P., and Lorenzo, O. 2009. Predicting SMEs adoption of enterprise systems. Journal of Enterprise Information Management, 22(1/2), 10– 24. doi:10.1108/17410390910922796

Rogers, E.M. 1983. Diffusion of Innovations 3rd ed. New York: Free Press.

Tornatzky, L. G. and Fleischer, M. 1990. The Process of Technological Innovation. Lexington. MA.: Lexington Books.

Walsham, G. 2001. Making a World of Difference: IT in a Global Context. USA: Wiley and Sons.

Welsh, J.A. and White, T.A. 1981. A small business is not a little big business. Harvard Business Review, 59(4), pp.18–32.

Zhu, K. and Kraemer, K. L. 2005. Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry. Information Systems Research, 16(1), pp.61–84. [On line]. From: 1050.0045 [March 4, 2013].

Zhu, K. 2004. Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry. Journal of management information systems, 21(1), pp.17–54.

DOI: http://dx.doi.org/10.21776/ub.jam.2019.017.04.05


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