SME Internet Use: The Moderating Role of Normative Influence


  • Kevin Celuch University of Southern Indiana
  • Bryan Bourdeau University of Southern Indiana
  • Carl Saxby University of Southern Indiana
  • Craig Ehlen University of Southern Indiana


Of all electronic commerce technologies, the Internet is particularly relevant to SMEs interested in improving efficiency and competitive position. A consistent theme in the SME Internet adoption literature relates to the potential importance of accounting for normative influence. We extend thinking in the area by exploring the potential moderating effect of behavioral normative influence in SME technology acceptance. Consistent with predictions, owner/manager perceptions of normative Internet usage are found to interact with usefulness perceptions, which moderate the relationship between owner/manager perceived usefulness and Internet usage intention. Specifically, when normative influence is not perceived to be prevalent in the SME's environment, perceptions that the Internet could prove useful have a strong positive effect on ow ner/manager intention to increase usage of the Internet. In contrast, when the SME context is perceived to be associated with strong normative influence, usefulness perceptions do not greatly affect owner/manager intention to increase use of the Internet.


Achrol, R. S., and Kotler, P. (1999). Marketing in the network economy. Journal of Marketing, 63(4), 146-163.

Adams, S., and Deans, K.R. (2001). Inter- study comparisons of small business internet use in Australia and New Zealand. Proceedings of the Seventh Australian World Wide Web Conference. Coffs Harbour, Australia, 1-10.

Aiken, L., and West, S. G. (1991). Multiple regression: Testing and interpreting interactions, Sage Publications: Newbury Park, CA.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50 (2), 179- 211.

Ajzen, I (2002). Constructing a TpB questionnaire: Conceptual and methodological considerations. Retrieved May 6, 2004, from http://www.people.umass. edu/aizen/pdf/tpb.measurement.pdf.

Albarracin, D., Johnson, B.T., Fishbein, M., and Muellerleile, P.A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta- analysis. Psychological Bulletin, 127 (1), 142-161.

Alonso Mendo, F., and Fitzgerald, G. (2005). A multidimensional framework for SME e-business progression. Journal of Enterprise Information Management, 18.5 (6), 678-696.

Al-Qirim, N. (2007). The adoption of ecommerce communications and applications technologies in small businesses in New Zealand. Electronic Commerce Research and Applications: Intelligent agents in e-services, 6 (4), 462-473.

Alzougool, B., and Kurnia, S. (2010). Towards a better understanding of SMEs' perception of electronic commerce technology adoption. Interdisciplinary Journal of Contemporary Research in Business, 2 (3), 9-37.

Ayyagari, M., Beck, T., Demirguc-Kunt, A. (2003). Policy research working paper #3127. The World Bank Development Research Group, Finance, August, 1-33.

Baron, R., and Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173- 1182.

Bharati, P., and Chaudhury, A. (2006). Current status of technology adoption: Micro, small and medium manufacturing firms in Boston. Communications of the ACM, 49 (10), 88-93.

Broadbent, M., and Weill, P. (1997). Management by maxim: Creating business driven information technology infrastructures. Sloan Management Review, 38 (3), 77-92.

Caldeira, M. M., and Ward, J.M. (2003). Using resource-based theory to interpret the successful adoption and use of information systems and technology in manufacturing small and medium-sized enterprises. European Journal of Information Systems, 12 (2), 127-41.

Celuch, K., Murphy, G.B., and Callaway, S.K. (2007). More bang for your buck: Small firms and the importance of aligned information technology capabilities and strategic flexibility. The Journal nof High Technology Management Research, 17, 187-197.

Celuch, K., and Murphy, G. (2010). SME Internet use and strategic flexibility: The Moderating effect of IT market orientation. Journal of Marketing Management, 26 (1-2), 131-145.

Champoux, J., and Peters, W. (1987). Form, effect size, and power in moderated regression analysis. Journal of Occupational Psychology, 60 (3), 243-255.

Cohen, J., and Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.), Lawrence Erlbaum Associates, Inc.: Hillsdale, NJ.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319-339.

Davis, F.D., Bagozzi, R.P., and Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8), 982-1002.

Day, G. S. (1999). Creating a market driven organization. Sloan Management Review, 41(1), 11-22.

Deans, K.R., Gray, B.J., Ibbotson, P.O., and Knightbridge, K. (2003). Web marketing practices of service providers. The Service Industries Journal, 23 (3), 82-102.

de Guinea, A.O., Kelley, H., and Hunter, M.G. (2005). Information systems effectiveness in small businesses: Extending a Singaporean model in Canada. Journal of Global Information Management, 13 (3), 55-79.

Del Aguila-Obra, A.R., and Padilla- Melendez, A. (2006). Organizational factors affecting internet technology adoption. Internet Research, 16 (1), 94.

Dick, A., and Basu, K. (1994). Customer loyalty: Toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22 (2), 99-113.

Doherty, N.F., and Ellis-Chadwick, F.E. (2003). The relationship between retailers' targeting and e-commerce strategies: An empirical analysis. Internet Research, 13 (3), 170-82.

Eagly, A., and Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt, Brace, Jovanovich.

Echambadi, R., and Hess, J. (2007). Mean- centering does not alleviate collinearity problems in moderated multiple regression models. Marketing Science, 26 (3), 438-445.

Ehrlich, H.J. (1969). Attitudes, behaviors, and the intervening variables. American Sociologist, 4, 29-34.

Evans, J. S. (1991). Strategic flexibility for high technology maneuvers: A conceptual Framework. Journal of Management Studies, 28(1), 69-89.

Fornell, C., and Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (2), 39-50.

Godin, G., and Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11, 87-98.

Grandon, E., and Pearson, J. (2004). Electronic commerce adoption: An empirical study of small and medium US businesses. Information and Management, 42 (1), 197-216.

Hair Joseph F., Black, W., Babin, B., Ralph E., Tatham, A., and Tatham, R. (2006). Multivariate data analysis. (6th ed.). Pearson/Prentice Hall: Upper Saddle River, NJ.

Hall, C. (2002). Profile of SMEs and SME issues 1990-2000. Asia-Pacific Economic Cooperation, Singapore.

Harrison, D.A., Mykytyn, P.P. Jr., and Riemenschneider, C.K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information Systems Research, 8 ( 2), 171-95.

Hu, L., and Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6 (1), 1-55.

Johnson, J., Lee, R., Saini, A., and Grohman, B. (2003). Market-focused strategic flexibility: Conceptual advances and an integrative model. Journal of the Academy of Marketing Science, 31, 74-89.

Kashima, Y., and Gallois C. (1993). The theory of reasoned action and problem- focused Research. In D. J. Terry, C. Gallois, and M. McCamish (Eds.), The Theory of Reasoned Action: It's Application to AIDS-Preventive Behavior (pp.207-226). Oxford, U.K.: Pergamon.

Kaynak, E., Tatoglu, E., and Kula, V. (2005). An analysis of the factors affecting the adoption of electronic commerce by SMEs: Evidence from an emerging market. International Marketing Review, 22 (6), 623-640.

Kendall, J.D., Tung, L.L., Chua, K.H., Ng, C.H.D., and Tan, S.M. (2001). Receptivity of Singapore's SME to electronic e-commerce adoption. Journal of Strategic Information Systems, 10 (3), 223-242.

Kotelnikov, V. (2007). Small and Medium Enterprises and ICT. A sia-Pacific development information programme e- primers for the information economy, society and polity, (APCICT).

Lee, J., and Runge, J. (2001). Adoption of information technology in small business: Testing drivers of adoption for entrepreneurs. Journal of Computer Information Systems, 42 (I), 44-51.

Lee, G., and Xia, W. (2006). Organizational size and IT innovation adoption: A metaanaylsis. Information and Management, 43 (8), 975-985.

Levenburg, N., Schwarz, T., and Motwani, J. (2005). Understanding adoption of internet technologies among SMEs. Journal of Small Business Strategy, 16 (1), 51-69.

Liao, J., Welsch, H., and Stocia, M. (2003). Organizational absorptive capacity and responsiveness: An empirical investigation of growth-oriented SMEs. Entrepreneurship, Theory and Practice, 28(1), 63-85.

Liu, S.H., Chen, J.L., and Liao, H.L., (2005). Adoption of e-commerce by SMEs: On the development of a stage model. In Proceedings of the 2005 Conference of Knowledge and Value Management, 1-11.

MacGregor, R.C., and Vrazalic, L. (2006). E-commerce adoption barriers in small businesses and the differential effects of gender. Journal of Electronic Commerce in Organizations, 4 (2), 1-24.

Morris, M.G., and Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing workforce. Personnel Psychology, 53 (2), 375-403.

Murphy, G., Celuch, K., Callaway, S. (2007). Small business Internet use and strategic flexibility. Journal of Small Business Strategy, 18 (1), 57- 68.

Park, H.S., and Smith, S. (2007). Distinctiveness and influence of subjective norms, personal descriptive and injunctive norms, and societal descriptive and injunctive norms on behavioral intent: A case of two behaviors critical to organ donation. Human Communication Research, 33, 194-218.

Parker, C.M., and Castleman, T. (2007). New directions for research on SME e- business: Insights from an analysis of journal articles from 2003 to 2006. Journal of Information Systems and Small Business, 1 (1/2), 21-40.

Parker, C.M., and Castleman, T. (2009). Journal of Enterprise Information Management, 22 (1/2), 167-182.

Premkumar, G. (2003). A meta-analysis of research on information technology implementation in small business. Journal of Organizational Computing and Electronic Commerce, 13 (2), 91- 121.

Ramsey, E., and Ibbotson, P. (2006). 'E'entrepreneurial SMEs: An Irish study of micro and macro Influences. Journal of International Influences, 3, 317-332.

Riemenshneider, C., Harrison, D., and Mykytyn, P. (2003). Understanding IT adoption decisions in small business: Integrating current theories. Information & Management, 40, 269-285.

Rivard, S., Raymond, L., and Verreault, D. (2006). Resource based view and competitive strategy: An integrated model of the contribution of information technology to firm performance. The Journal of Strategic Information Systems, 15 (1), 29-50.

Rook, D., and Fisher, R. (1995). Normative influences on impulsive buying behavior. Journal of Consumer Research, 22 (3), 305-313.

Sheppard, B., Hartwick, J., and Warshaw, P. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15 (4), 325-343.

Taylor, S., and Todd, P. (1995). Understanding information technology usage: A test of completing models. Information Systems Research, 6 (2), 144-176.

Thong, J. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15 (4), 187-214.

Tsao, H., Lin, K., and Lin, C. (2004). An investigation of critical success factors in the adoption of B2B EC by Taiwanese companies. Journal of American Academy of Business, 5 (1),198-202.

Turban, E., Lee, J.K., King, D., McKay, J., and Marshall, P. (2008). Electronic commerce: A managerial perspective. Pearson International Edition, Pearson Education.

U. S. International Trade Commission (2010). Small and medium-sized enterprises: Overview of participation in U.S. exports. USTIC Publication #4125, January, 1-1 - 4-8.

U.S. Small Business Administration (2012). Table of small business size standards matched to North American industry classification systems codes. es/Size_Standards_Table.pdf.

Venkatesh, V., and Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204.

Venkatesh, V., and Morris, M.G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115- 139.

Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.

Venkatesh, V., and Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39 (2), 273-315.

Westland, J.C., and Clark, T.H.K. (2000). Global Electronic Commerce: Theory and Case Studies. MIT Press, Cambridge, MA.

Wicker, A. (1969). Attitude versus actions: The relationship of verbal and overt behavioral responses to attitude objects. Journal of Social Issues, 25, 41-78.

Zack, M. (1999). Managing codified knowledge. Sloan Management Review, Summer, 45-58.







How to Cite

SME Internet Use: The Moderating Role of Normative Influence. (2014). Journal of Small Business Strategy (archive Only), 24(2), 69-90.

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