Nabil A. Ibrahim

The corporate social responsiveness orientation of board members: Are there differences between inside and outside directors?

Differences and similarities between inside and outside board members with regard to their attitudes toward corporate social responsibility are examined. The results indicate that outside directors exhibit greater concern about the discretionary component of corporate responsibility and a weaker orientation toward economic performance. No significant differences between the two groups were observed with respect to the legal and ethical dimensions of corporate social responsibility. Some explanations as well as limited generalizations and implications are developed.

Characteristics and practices of “Christian-based” companies

There is a sizeable group of self-described “Christian” companies which have declared their belief in the successful merging of biblical principles with business activities. As these companies have become more visible, an increasing number of anecdotal newspaper and magazine articles about these companies have appeared. Surprisingly, no rigorous research has been conducted prior to our recent study. This article provides national estimates of the size and predominant characteristics of self-identified “Christian” companies. In addition, the study investigated the types of relationships these companies maintained with their employees, customers, communities, and suppliers.

A Decision Tree Approach to the Interpretation of Multivariate Statistical Techniques.

Abstract Multivariate statistical techniques have become increasingly popular over the last decade in many fields, especially management. However, management researchers, faculty, and students often do not have sufficient statistical training to appreciate the practical application of multivariate techniques. This article discusses the nature, power, and limitations of four of the most widely used multivariate techniques: factor analysis, MANOVA, multiple regression, and multiple discriminant analysis. Decision trees serve as road maps to guide users through the techniques and assist them in interpreting the results.