Social Institutional Explanations of Global Internet Diffusion: A Cross-Country Analysis

Social Institutional Explanations of Global Internet Diffusion: A Cross-Country Analysis

Hongxin Zhao, Seung Kim, Taewon Suh, Jianjun Du
DOI: 10.4018/978-1-60566-116-2.ch021
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Abstract

This study attempts to examine empirically how social institutional factors relate to Internet diffusion in 39 countries. Based on nine-year crosscountry data, the analytical results show that the rule of law, educational systems, and industrialization significantly influenced the global Internet diffusion, while the economic system did not exert significant impact. Uncertainty avoidance as a national cultural phenomenon significantly inhibited the Internet diffusion. This significant and negative effect is particularly true with less developed countries (LDCs).
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Introduction

One of the most significant technological developments in the last century is the emergence of the Internet. According to the World Bank, between 1995 and 1998, worldwide communication markets connected 200 million telephone lines, 263 million mobile subscribers, and 10 million leased lines. Internet connections increased nearly 65 fold, exploding from 15 million in 1994 to 972.5 million by November, 2005. The adoption of the Internet also grew at a fast rate. It took the World Wide Web (WWW) only four years to reach 50 million users, while it took the telephone close to 45 years, radio 38 years, and TV 13 years to reach the same number of users (Hannemyr, 1998). The development of the Internet provides unprecedented opportunities and challenges to the private as well as the public sectors in both developed and less developed countries. The Internet provides a platform for a global marketplace, supporting electronic commerce. In this setting, as more suppliers and buyers enter the arena at low cost but with fast immediate outcomes, the benefits of participation grow exponentially.

Understanding diffusion of the Internet is important because it creates new venues for social interactions and new business opportunities. Total retail e-commerce in the United States (U.S.) alone exceeded $45 billion in 2002 (Bajari & Hortacsu, 2004) and achieved an estimated growth of 25% (eMarketer, 2006). E-commerce outside of the U.S. reached $1,584 billion in 2004 (www.idc.com). According to the company’s latest research, Internet traffic will rise from 180 petabits per day in 2002 to 5,175 petabits per day by the end of 2007. By 2007, the International Data Corporation (IDC) expects Internet users will access, download and share the information equivalent of the entire Library of Congress more than 64,000 times over, every day.

There is an increasing amount of research that studies the factors contributing to the rapid diffusion of the Internet. However, the empirical analyses appear only infrequently in the literature (Dutta & Roy, 2003) and need a broad-spectrum interdisciplinary approach (Lu, 2005). An explication of many studies show that they still primarily rely on descriptive and correlation studies (Dutta & Roy, 2004) based on the assumption that later adopters of innovation are increasingly likely to imitate early adopters over time (Rogers, 1995). Rai et al., (1998) were able to show that the contagion models, like logistic and Gompertz models, that ignore external factors, such as government involvement and technological development had poor predictability.

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