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

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

María Verónica Alderete (IIESS-CONICET, Instituto de Investigaciones Económicas y Sociales del Sur, Bahía Blanca, Argentina)
Copyright: © 2013 |Pages: 15
DOI: 10.4018/irmj.2013070103
OnDemand PDF Download:
No Current Special Offers


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.
Article Preview

1. Introduction

In the modern economy, in addition to traditional production factors (physical capital, labor), the Information and Communication Technologies (ICT) are one of the new productive emerging factors. ICT contribution to and impact on firm performance is of critical importance together with complementary capitals such as the human capital (human skills), and the organizational capital (workplace organization), and knowledge (Arvanitis, 2005).

Since the emergence of the New Economy approach, many researchers were aware to analyze the relationship between ICT investment and firms’ performance. During the last 80, the literature could not find a significant tie between ICT investment and industrial productivity (Roach, 1991; Morrison & Berndt, 1990; Strassmann 1990; Brynjolfsson 1993). This phenomenon known as “the productivity paradox” was established by Solow who argued that “you can see the computer age everywhere these days, except in the productivity statistics”.

However, many studies found the existence of a positive relationship between firm productivity and ICT investments (Dvir et al., 1993; Brynjolfsson et al., 1994; Lichtenberg, 1995, Greenan & Mairesse, 2000, Licht & Moch, 1999, Aral, Brynjolfsson and Wu, 2006; Brynjolfsson and Hitt, 1996; 2003; 2000; Dedrick et al 2003).

The hypothesis behind the long term positive effects of ICT investment on firm productivity is that ICT would be part of a wider system of technology and organizational changes that enhances firm productivity. Investment in computers is a necessary but not a sufficient condition to increase productivity. Human skills, capacity and new organizational forms are collateral to the ICT adoption process at firm level. Alderete (2012) explains that awareness and technology skills and knowledge in electronic markets, or what some authors called IT alignment (Cragg et al., 2002), refers to disutility of effort.

Recent research in the contribution of ICT investment on firm performance has produced evidence of its positive contribution to several measures of firm performance. This is probably reflecting improvements in the exploitation of ICT by firms. Identifying and implementing the complementary organizational changes needed for a successful ICT adoption are difficult and costly. These adjustment difficulties lead to variations across firms in the use of ICT, its organizational complements and resulting outcomes. At the same time, the ICT impact on firms’ performance is neither automatic nor lineal (Rivas & Stumpo, 2011).

Complete Article List

Search this Journal:
Open Access Articles
Volume 35: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 34: 4 Issues (2021)
Volume 33: 4 Issues (2020)
Volume 32: 4 Issues (2019)
Volume 31: 4 Issues (2018)
Volume 30: 4 Issues (2017)
Volume 29: 4 Issues (2016)
Volume 28: 4 Issues (2015)
Volume 27: 4 Issues (2014)
Volume 26: 4 Issues (2013)
Volume 25: 4 Issues (2012)
Volume 24: 4 Issues (2011)
Volume 23: 4 Issues (2010)
Volume 22: 4 Issues (2009)
Volume 21: 4 Issues (2008)
Volume 20: 4 Issues (2007)
Volume 19: 4 Issues (2006)
Volume 18: 4 Issues (2005)
Volume 17: 4 Issues (2004)
Volume 16: 4 Issues (2003)
Volume 15: 4 Issues (2002)
Volume 14: 4 Issues (2001)
Volume 13: 4 Issues (2000)
Volume 12: 4 Issues (1999)
Volume 11: 4 Issues (1998)
Volume 10: 4 Issues (1997)
Volume 9: 4 Issues (1996)
Volume 8: 4 Issues (1995)
Volume 7: 4 Issues (1994)
Volume 6: 4 Issues (1993)
Volume 5: 4 Issues (1992)
Volume 4: 4 Issues (1991)
Volume 3: 4 Issues (1990)
Volume 2: 4 Issues (1989)
Volume 1: 1 Issue (1988)
View Complete Journal Contents Listing