Texas A&M University

About: Texas A&M University is a education organization based out in College Station, Texas, United States. It is known for research contribution in the topics: Population & Gene. The organization has 72169 authors who have published 164372 publications receiving 5764236 citations.

Trustworthiness as a Source of Competitive Advantage

Abstract: Three types of trust in economic exchanges are identified: weak form trust, semi-strong form trust, and strong form trust. It is shown that weak form trust can only be a source of competitive advantage when competitors invest in unnecessary and expensive governance mechanisms. Semi-strong form trust can be a source of competitive advantage when competitors have differential exchange governance skills and abilities, and when these skills and abilities are costly to imitate. The conditions under which strong form trust can be a source of competitive advantage are also identified. Implications of this analysis for theoretical and empirical work in strategic management are discussed.

Message equivocality, media selection and manager performance: implications for information systems

Abstract: A field study of middle- and upper-level managers was undertaken to explain managers' selection of communication media. The findings indicate that media vary in their capacity to convey information cues. Managers prefer rich media for ambiguous communications and less rich media for unequivocal communications. The data suggest that high performing managers are more sensitive to the relationship between message ambiguity and media richness than low performing managers. Implications for managers' use of information systems and electronic media are discussed.

Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications

Abstract: This volume presents the important concepts required for implementing two disciplines of factor analysis - exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with an emphasis on EFA/CFA linkages. Modern extensions of older data analysis methods (e.g., ANOVA, regression, MANOVA, and descriptive discriminant analysis) have brought theory-testing procedures to the analytic forefront. Variations of factor analysis, such as the factoring of people or time, have great potential to inform psychological research. Thompson deftly presents highly technical material in an appealing and accessible manner. The book is unique in that it presents both exploratory and confirmatory methods within the single category of the general linear model (GLM). Canons of best factor analytic practice are presented and explained. An actual data set, generated by 100 graduate students and 100 faculty from the United States and Canada, is used throughout the book, allowing readers to replicate reported results.