Internet Incidence on SME's Sales: A Propensity Score Matching Analysis

The purpose of this paper is to determine how much is the "bonus" or "prize" to the sales per worker of Internet-using firms compared to not Internet-using firms. The author employs matching techniques based on an Argentinean database. The author first presents a binary logit model, in which the dependent variable is a dichotomous variable equal to 1 if the firm adopted Internet and 0 otherwise, to evaluate the factors that influence a firm's probability of adopting Internet. A propensity score matching PSM model is then used to assess the impact of using Internet on the sales per worker. The author finds statically significant differences in the sales average between firms that are similar in many dimensions such as location, size, and sales market except for the Internet adoption decision. By probing that Internet access improves SME's sales, the author is validating the Public Sector ICT modernization programs for SME. The contribution of this paper consists of using a well known technique as PSM to analyze a recent field of research which is the contribution of Internet adoption to the firm's sales per worker.

[1]  Kenneth L. Kraemer,et al.  Information technology and economic performance , 2003, ACM Comput. Surv..

[2]  Erik Brynjolfsson,et al.  Does Information Technology Lead to Smaller Firms , 2011 .

[3]  Margaret Tan,et al.  A Contingency Model of Internet Adoption in Singapore , 1997, Int. J. Electron. Commer..

[4]  Elizabeth M. Daniel,et al.  An exploratory comparison of electronic commerce adoption in large and small enterprises , 2002, J. Inf. Technol..

[5]  R. Dholakia,et al.  Factors Impacting the Adoption of the Internet among SMEs , 2004 .

[6]  Per E. Pedersen,et al.  Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters , 2005, J. Organ. Comput. Electron. Commer..

[7]  Kaushalesh Lal,et al.  Learning new technologies by small and medium enterprises in developing countries , 2006 .

[8]  Paul B. Cragg,et al.  Small-Firm Computing: Motivators and Inhibitors , 1993, MIS Q..

[9]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[10]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[11]  Margaret Tan,et al.  Factors Influencing the Adoption of the Internet , 1998, Int. J. Electron. Commer..

[12]  Jacques Mairesse,et al.  Computers And Productivity In France: Some Evidence , 1996 .

[13]  E. Brynjolfsson,et al.  Computing Productivity: Firm-Level Evidence , 2003 .

[14]  C. Morrison.  Assessing the Productivity of Information Technology Equipment in U.S. Manufacturing Industries , 1991, Review of Economics and Statistics.

[15]  U. Johansson,et al.  E-business and e-supply strategy in small and medium sized businesses (SMEs) , 2003 .

[16]  B. Thomas,et al.  The development of ICT advisors for SME businesses: An innovative approach , 2006 .

[17]  Princely Ifinedo,et al.  Internet/e-business technologies acceptance in Canada's SMEs: An exploratory investigation , 2011, Internet Res..

[18]  D. J. Wu,et al.  Which Came First, it or Productivity? Virtuous Cycle of Investment and Use in Enterprise Systems , 2006, ICIS.

[19]  F. Schivardi,et al.  ICT adoption in Italian manufacturing: firm-level evidence , 2005 .

[20]  Raymond W. LaForge,et al.  The Marketing/ Small Enterprise Paradox: A Research Agenda , 1985 .

[21]  S. Roach.  Services under siege--the restructuring imperative. , 1991, Harvard business review.

[22]  S. Arvanitis,et al.  Computerization, workplace organization, skilled labour and firm productivity: Evidence for the Swiss business sector , 2005 .

[23]  María Verónica Alderete.  From traditional transactions to B2B: a contract theoretical analysis , 2010, J. Theor. Appl. Electron. Commer. Res..

[24]  F. Lichtenberg.  The Output Contributions of Computer Equipment and Personnel: A Firm- Level Analysis , 1993 .

[25]  Sandy Chong.  An Empirical Study of Factors that Influence the Extent of Deployment of Electronic Commerce for Small- and Mediumsized Enterprises in Australia , 2006, J. Theor. Appl. Electron. Commer. Res..

[26]  Audrey Gilmore,et al.  Marketing at the Interface: Not ‘What’ but ‘How’ , 2000 .

[27]  María Verónica Alderete,et al.  SME E-Cooperation: A Theoretical Team Contract Analysis Under Hidden Information , 2012, Int. J. e Collab..

[28]  Georg Licht,et al.  Innovation and Information Technology in Services , 1999 .

[29]  Stephen L. Parente,et al.  Barriers to Technology Adoption and Development , 1994, Journal of Political Economy.

[30]  P. Windrum,et al.  MERIT-Infonomics Research Memorandum series The adoption of e-business technology by SMEs , 2002 .

[31]  Sascha O. Becker,et al.  Estimation of Average Treatment Effects Based on Propensity Scores , 2002 .

[32]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[33]  Aaron J. Shenhar,et al.  Technology's varying impact on the success of strategic business units within the miles and snow typology , 1993 .

[34]  Heinz Hollenstein,et al.  Determinants of the Adoption of Information and Communication Technologies (ICT) , 2002 .

[35]  Erik Brynjolfsson,et al.  The productivity paradox of information technology , 1993, CACM.

[36]  E. Ramsey,et al.  A Profile of Adopters and Non-Adopters of Ecommerce in SME Professional Service Firms , 2005 .

[37]  Kaj Grønbæk,et al.  CSCW challenges: cooperative design in engineering projects , 1993, CACM.

[38]  Petra E. Todd,et al.  Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme , 1997 .