How did location affect adoption of the commercial Internet? Global village vs. urban leadership

By Chris M. Forman, Avi Goldfarb, Shane M. Greenstein. 2005

252 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Media Technology, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/68056374e6b3edfbd20ecf2e32db5ea37ba0f57d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. David Zilberman
2. Amir Heiman
3. Jinhuan Zhao
4. Teresa Serra

In Strategy and Management

1. David Zilberman
2. Amir Heiman
3. Jinhuan Zhao

Citations in the corpus

• The Internet and Local Wages: A Puzzle † (2012, unknown): “Among the biggest cities, areas with high use are those where a high fraction of local employment is in internet-intensive (as well as IT-intensive) industries, such as the San Francisco Bay Area, Seattle, Denver, and Houston (Forman, Goldfarb, and Greenstein 2005).”
• Preference Minorities and the Internet (2011, unknown): “By calculating marginal effects this way, we assume that the zip code location of the household is exogenous to any household decision to use Diapers.com (see also Forman, Goldfarb, and Greenstein 2005, p. 398).”
• Reward-based crowdfunding of entrepreneurial projects: the effect of local altruism and localized social capital on proponents’ success (2017, unknown): “Despite the omnipresent reach of the Internet, space bounds many Internet-based activities (Wang et al. 2003; Forman et al. 2005), including online transactions, which are more likely to occur between buyers and sellers in the same geographical area (Hortaçsu et al. 2009).”
• Adoption Versus Adaptation, with Emphasis on Climate Change (2012, background): “The Internet reduces the salience of distance on adoption (Forman et al. 2005).”
• The Digital Divide: Current and Future Research Directions (2005, unknown): “Turning to the only study at the organizational level of analysis, Forman et al. (2005b) extend their previously mentioned work by using their large sample of nearly 80,000 companies across 55 industries in the U.S. from 1998 to 2000 to examine whether company location and industry type impact the…”