Determinants of Internet adoption by Indonesian small business owners: reliability and validity of research instrument

Hermana, Budi and Sugiharto, Toto and Margianti, E.S. (2006) Determinants of Internet adoption by Indonesian small business owners: reliability and validity of research instrument.

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Abstract

The adoption of information and communication technology (ICT) in small and medium enterprise in Indonesia as to compare with its counterparts, i.e., large scale enterprises, is left behind. This preliminary study reports on several predictors, which influence SME’s owner’s decision to adopt internet technology. A behavioral model was developed based on previous research on technology adoption in SME. The model for preliminary research consists of seven predictors, which include performance expectancy, effort expectancy, social influence, facilitating condition, self-efficacy, internet-anxiety, and perceived cost. ICT adoption level is measured as adopter, potential adopter and non-adopter. Results of the measurement show that the score of reliability ranges between 0.6318 and 0.9711 in Cronbach Alpha. Meanwhile, results of construct validity test that employed principal component analysis show that most of the items are convergent to their constructs.

Keywords:	Small Bussiness, Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology
Subjects:	B. Information use and sociology of information. > BG. Information dissemination and diffusion.
ID Code:	13481
Deposited By:	Hermana, Budi
Deposited On:	05 June 2008
All fields:	Show all fields

Rencana Induk Pengembangan Industri Kecil Menengah 2002 – 2004: Kebijakan dan Strategi Umum Pengembangan Industri Kecil Menengah. Deperindag, 2002

Information and Communication Technology at a Glance, Worldbank Report, 2002.

Information and Communication Technology Development Indices, UNCTAD-UN, New York, 2003.

Anderson, John E. and Paul H. Schwager, SME Adoption Of Wireless Lan Technology: Applying The Utaut Model, Proceedings of the 7th Annual Conference of the Southern Association for Information Systems, 2004.

Barki, Henri and J. Hartwick. 1994., Measuring user participation, user involvement, and user attitude. MIS Quarterly; 18, 1; pg. 59.

Bitler, Marianne P., Small businesses and computers: Adoption and performance1, Bitler@rand.org, 2001.

Brandt, Loren and S. C. Zhu. 2002. Technology Adoption and Absorption: The Case of China. University of Toronto, Michigan State University.

Brandyberry, Alan A. 2003. Determinants of adoption for organisational innovations approaching saturation. European Journal of Innovation Management; 2003; 6, 3; ABI/INFORM Global, pg. 150.

Bresnahan, Timothy F., Erik Brynjolfsson, and Lorin M. Hitt. 2000. Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm Level Evidence. Quarterly Journal of Economics.

Brown, Irwin T.J. 2002. Individual and Technological Factors Affecting Perceived Ease of Use of Web-based Learning Technologies in Developing Country. The Electronic Journal on Information Systems in Developing Countries; 9, 5, hal 1-15.

Brynjolfsson, Erik and L. M. Hitt. 1998. Beyond the productivity paradox, Association for Computing Machinery. Communications of the ACM; Aug 1998; 41, 8; ABI/INFORM Global, pg. 49.

Chambers, Todd A. and Craig M. Parker, Factors Motivating and Inhibitting the Use of Web Commerce by Rural Small Bussiness, School of Management System, Deakin University, 2000.

Chau, Patrick Y K and P. J. H. Hu. 2001. Information technology acceptance by individual professionals: A model comparation approach. Decision Sciences; Fall 2001; 32, 4; pg. 699.

Cloete, Eric, Steven Courtney, and Julia Fintz, Small Businesses’ Acceptance and Adoption of e-Commerce in the Western-Cape Province of South-Africa, The Electronic Journal on Information Systems in Developing Countries, 10, 4, 1-13, 2002.

Compeau, Deborah , C.A. Higgins and S. Huff. 1999. Social cognitive theory and individual reactions to computing technology: A Longitudinal Study. MIS Quarterly; Jun 1999; 23, 2; ABI/INFORM Global, pg. 145.

Davis, Fred D., Perceived Usefulness, Perceived Ease Of Use, And User Acceptance of Information Technology, MIS Quarterly; 13, 3; pg. 319, 1989.

Dulipovici, Andrea, The Impact of Internet Use on Small and Medium-Sized, Canadian Businesses during a Recession, The 6th International Francophone Congress on SME, Montreal, 2002.

Eastin, Matthew S. and R. LaRose. 2000. Internet Self-Efficacy and the Psychology of the Digital Divide. Journal of Computer-Mediated Communication

Emory, C. William and Donald R. Cooper, Business Research Methods, Richard D Irwin, Inc, 1991.

Fichman, Robert G. 2004. Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods. Journal of the Association for Information Systems Vol. 5 No. 8, pp.314-355/August.

Foong, Soon Yau, Effect of End User Personal and System Attributes on Computer Based Information System Success in Malaysian SMEs. Journal of Small Business Management; 37, 3, hal 81, 1999.

Gardner, Christina and D.L. Amoroso. 2004. Development of an Instrument to Measure the Acceptance of Internet Technology by Consumers. Proceedings of the 37th Hawaii International Conference on System Science.

Gefen, David and Detmar Straub, The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption, Journal of The Association for Information System: Volume 1, Article 8, Oktober 2000.

Gera Surendra and W. Gu. 2004. The Effect Of Organizational Innovation And Information Technology On Firm Performance. International Productivity Monitor, No. 9. Fall 2004.

Grandon, Elizabeth E and Peter P Mykytyn, Theory-Based Instrumentation To Measure The Intention To Use Electronic Commerce In Small And Medium Sized Business, The Journal of Computer Information Systems; 44, 3; pg. 44, 2004.

Hadjimanolis, Athanasios. 2000. A resource-based view of innovatieness in small firms. Technology Analysis & Strategic Management; Jun 2000; 12, 2; ABI/INFORM Global, pg. 263.

Heilman, George E., Charles A. Finnel, and Louis W. Glorfeld. Validating The Technology Acceptance Model with Small Bussiness Owners. Proceedings of Decision Science Institute, page 649-651, 1999.

Hollenstein, Heinz, Determinants Of The Adoption Of Information And Communication Technologies (ICT): An Empirical Analysis Based on Firm-level Data for the Swiss Business Sector, DRUID Summer Conference on "Industrial Dynamics of the New and Old Economy - who is embracing whom?", Copenhagen/Elsinore 6-8 June 2002.

Hubona, Geoffrey S. and A.B. Jones. 2003. Modeling the User Acceptance of E-Mail. Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS’03).

Igbaria, Magid, Nancy Zinatelli; Paul Cragg; Angele L M Cavaye, Personal computing acceptance factors in small firms: A structural equation Model, MIS Quarterly, 21, 3, pg. 279, 1997.

Jones, Colin, Rob Hecker, dan Peter Holland, Small firm Internet adoption: opportunities forgone, a journey not begun, Journal of Small Business and Enterprise Development; 10, 3; pg. 287, 2003.

Jones, Nory B and Thomas R Kochtanek, Success Factors in the Implementation of a Collaborative Technology and Resulting Productivity Improvement in a small business: An Exploratory Study, Journal of Organizational and End User Computing; Jan-Mar 2004; 16, 1; ABI/INFORM Global, pg. 1, 2004.

Kassim, Norizan M and M. Zain. 2004. Assessing the Measurement of Organizational Agility. Journal of American Academy of Business, Cambridge; Mar 2004; 4, 1/2; ABI/INFORM Global, pg. 174.

King, Ruth C. and M.L. Gribbins. 2003. Adoption of Organizational Internet Technology: Can Current Technology Adoption Models Explain Web Adoption Strategies in Small & Mid-Sized Organizations? Department of Business Administration College of Business, University of Illinois at Urbana-Champaign.

Kleijnen, Mirella, M. Wetzels, K.D. Ruyter. 2004. Consumer acceptance of wireless finance. Journal of Financial Services Marketing; 8, 3; ABI/INFORM Global, pg. 206.

Klopping, Inge M. and E. McKinney. 2004. Extending The Technology Acceptance Model and The Task-Technology Fit Model to Consumer E-Commerce. Information Technology, Learning, and Performance Journal, Spring, 22; 1, pg. 35.

Kohli, Rajiv and S. Devaraj, Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm-Level Empirical Research, Information Systems Research, 14, 2, ABI/INFORM Global, pg.127, Jun 2003

Koufaris, Marios. 2002. Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information System Research; Jun,13, 2, hal 205.

Kraemer, Kenneth L., J. Gibbs and J. Dedrick. 2002. Impacts of Globalization on E-Commerce Adoption and Firm Performance: A Cross-Country Investigation. Center for Research on Information Technology and Organizations, University of California.

Kula, Veysel and Ekrem Tatoglu, An exploratory study of Internet adoption by SMEs in an emerging market economy, European Business Review;; 15, 5; ABI/INFORM Global, pg. 324, 2003.

Lee, Younghwa, K.A. Kozar, and K. R.T. Larsen. 2003. The Technology Acceptance Model: Past, Present, and Future. Communication of The Association for Information System, 12, 50, hal 752-780.

Lee, Jungwoo, Discriminant Analysis Of Technology Adoption Behavior: A Case Of Internet Technology In Small Business, The Journal of Computer Information Systems; 44, 4; pg. 57, 2004.

Lee, Jungwoo and Janet Runge, Adoption of information technology in small business: Testing drivers of Adoption for entrepreneurs, The Journal of Computer Information Systems; 42, 1; pg. 44, 2001.

Lertwongsatien, Chalermsak and Nitaya Wongpinunwatana, E-commerce adoption in Thailand: An empirical study of Small and Medium Enterprise (SMEs), Journal of Global Information Technology Management; 6, 3; ABI/INFORM Global, pg. 67, 2003.

Lim, Jee Hae, V.J. Richardson, and T.L. Roberts. 2004. Information Technology Investment and Firm Performance: A Meta-Analysis. Proceedings of the 37th Hawaii International Conference on System Sciences.

Lin, Fen-Hui and Jen-Her Wu, An Empirical Study Of End-User Computing Acceptance Factors In Small And Medium Enterprises In Taiwan: Analyzed By Structural Equation Modeling, The Journal of Computer Information Systems, Stillwater: Spring Vol.44, Iss. 3; pg. 98, 2004.

Locke, Stuart, ICT Adoption and SME Growth in New Zealand, Journal of American Academy of Business, Cambridge; Mar; 4, 1/2; ABI/INFORM Global, pg. 93, 2004

MacGregor, Robert and Lejla Vrazalic, A Comparative Study of SMEs in Wollongong (Australia) and Karlstad (Sweden), School of Economics and Information Systems University of Wollongong, 2004.

Malhotra, Yogesh and D.F. Galletra. 1999. Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Proceedings of the 32nd Hawaii International Conference on System Sciences

Mirchandani, Dinesh A and Jaideep Motwani, Understanding small business electronic commerce adoption: An empirical analysis, The Journal of Computer Information systems; 41, 3; pg. 70, 2001.

Pflughoeft, Kurt A., K. Ramamurthy, E.S. Soofi, M.Y. Ardekani, and F. Zahedi, Multiple Conceptualizations of Small Business Web Use and Benefits, Decision Sciences, Vol. 34, 3, 2003.

Puerto, Henrik Barth och Luis. 1999. Strategy, Structure and Technology as Influential Factors on Performance in SME´s1. 29th European Small Business Seminar, 15-17 September, Lisbon.

Riemenschneider and Mykytyn, 2002, “What Small Business Executives Have Learned about Managing Information Technology”, Information & Management 37, page 257-269

Riquelme, Hernan, Commercial Internet adoption in China: Comparing the experience of small, medium and Large Business, Internet Research; 12, 3; ABI/INFORM Global, pg. 276, 2002.

Rosen, Peter A. 2004. The Effect Of Personal Innovativeness In The Domain Of Information Technology On The Acceptance And Use Of Technology: A Working Paper. Oklahoma State University.

Scupola, A., Adoption Issues of Business-to-Business Internet Commerce in European SMEs, Proceedings of the 35th Hawaii International Conference on System Sciences, 2002.

Segars, Albert H and Grover, Varun, Re-examining perceived ease of use and usefulness: A confirmatory factor analysis, MIS Quarterly; Dec; 17, 4; ABI/INFORM Global pg. 517, 1993.

Straub, Detmar; Marie-Claude Boudreau, and David Gefen. “Validation Guidelines For Is Positivist Research”. Communications of the Association for Information Systems (Volume 13, 2004)380-427.

Van Akkeren, Jeanette and Angèle L.M. Cavaye, Factors Affecting Entry-Level Internet Technology Adoption by Small Business In Australia: An Empirical Study, Proc. 10th Australasian Conference on Information Systems, 1999.

Venkatesh, Viswanath, Michael G. Morris, Gordon B. Davis, Fred D. Davis, User Acceptance of Information Technology: Toward A Unified View, MIS Quarterly Vol. 27 No. 3, pp. 425-478, 2003.

Winston, Elaine R and Dorothy Dologite, How does attitude impact IT implementation: A study of small business owners, Journal of Organizational and End User Computing, 14, 2; ABI/INFORM Global, pg. 16, 2002.

Zettel, Jorge, Methodological Constraints, Critics, and Technology Acceptance: An Experiment, IESE-Report No. 074.01/E, Fraunhofer IESE, 2001.

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