This paper examines spatial patterns of information and communication technology (ICT) adoption and utilization and seeks to understand underlying reasons for the digital divide in Latin America and the Caribbean (LAC). Five distinctive clusters of technology adoption and use factors are identified, characterized, and geographically mapped. Disparities in adoption and utilization in ICTs in 36 LAC countries are examined Using a Spatially Aware Technology Utilization Model, fifteen socioeconomic, innovation, business efficiency, infrastructural, affordability, and societal openness indicators are posited to be associated with six ICT indicators. Human development, civil liberties, political rights, urban population, and electricity access are found to influence ICT adoption and use in LAC indicating socio-economic, urban, societal openness, and infrastructural dimensions of the digital divide in this world region. For a sub-sample of Latin American nations, regression findings point to human development and infrastructural factors. Spatial bias in confirmatory analysis is diagnosed, and policies are recommended.

In recent years, there has been an increasing use of information and communication technology as a means of improving the income and capabilities of farmers. Many large agri-business organizations, governments, and independent private firms have created telecenters to meet these goals. However, use of telecenter facilities has not met its potential. We use the technology adoption and diffusion frameworks of Rogers (adoption/diffusion, 2003) and Davis (technology adoption model – TAM, [(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339]) to understand factors that influence adoption and use of information technology by farmers. Based on a five-state sample of 280 farmers and agricultural workers, we identify adoption/diffusion factors that increase use of telecenters. Bivariate results support the dimensions suggested by Rogers: relative advantage, compatibility, low complexity, and observability, while also supporting the TAM factors of usefulness and ease of use. Logistic regression findings identify the most important Rogers' dimensions. Binary-independent variables of North–South telecenter location and telecenter business-independent ownership indicate North–South location influences both the models of adoption/diffusion and TAM factors, while telecenter ownership influences the model of TAM factors. The practical and government policy implications are examined.

This paper analyzes the spatial distribution and socioeconomic determinants of social media utilization in 3109 counties of the United States. A theory of determinants was modified from the spatially aware technology utilization model (SATUM). Socioeconomic factors including demography, economy, education, innovation, and social capital were posited to influence social media utilization dependent variables. Spatial analysis was conducted including exploratory analysis of geographic distribution and confirmatory screening for spatial randomness. The determinants were identified through ordinary least squares (OLS) regression analysis. Findings for the nation indicate that the major determinants are demographic factors, service occupations, ethnicities, and urban location. Furthermore, analysis was conducted for the U.S. metropolitan, micropolitan, and rural subsamples. We found that Twitter users were more heavily concentrated in southern California and had a strong presence in the Mississippi region, while Facebook users were highly concentrated in Colorado, Utah, and adjacent Rocky Mountain States. Social media usage was lowest in the Great Plains, lower Midwest, and South with the exceptions of Florida and major southern cities such as Atlanta. Measurements of the overall extent of spatial agglomeration were very high. The paper concludes by discussing the policy implications of the study at the county as well as national levels.

The preponderance of poor people worldwide live in rural areas. Since they cannot afford, and are not educated sufficiently to take full advantage of contemporary knowledge-based technologies, alternative approaches are necessary. A major business model to do so involves setting up a rural telecenter that provides computer and internet technology as a shared model or highly subsidized. Despite the potential and availability of telecenters, research suggests that telecenters have low usage. In this research, we explore the reasons for the low usage of telecenters using a framework for use and acceptance of rural telecenters. The framework we use builds on prominent IT theories and has the following four dimensions: (a) perceived outcomes, (b) perceived effort, (c) social influence, and (d) facilitating factors. We use this framework to formulate six research questions. The study in general has the goal to identify reasons for low use of telecenters and test it with an exploratory study of information and communication technology users and non-users from rural India. Implications are discussed at the village and provider levels. Ramiro Montealegre is the accepting Associate Editor for this article. View all notes