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PurposeThe purpose of this paper is to fill a gap in the literature on Arab women's conceptions of leadership. By comparing women's leadership authority values in three Arab countries, the paper aims to refine existing gender‐neutral research on leadership in the "Arab world".Design/methodology/approachThe study involved administering a survey, which had been developed based on Weber's work on authority (1978) and contemporary discussions of implicit leadership theories (ILT). The data (n=320) were drawn from female subjects who were enrolled in upper‐division business major classes in three countries, Oman, Lebanon and the UAE The women thus constituted educated entrants to their respective labor markets. The data were subjected to an analysis of group means on each of the questions, using the Scheffe option available in ANOVA.FindingsThe analysis found evidence of common leadership authority values in the Gulf countries (Oman and the UAE). Lebanon, meanwhile, was distinguished by relatively low levels of "traditional" authority, and very high levels of "charismatic" authority. The findings demonstrate important regional similarities and difference in leadership authority values in the "Arab world."Research limitations/implicationsThe study is limited by the number of countries studied. It is thus anticipated that future comparative research will be extended to include other countries (both Arab and non‐Arab), and men.Practical implicationsLeadership training in the Arab region must be sensitized and tailored to address regional and gender‐specific conceptions of leadership.Originality/valueThe paper challenges and refines widespread meta‐notions and analyses of the "Arab world" and "Arab leadership."

Intellectual capital is the cornerstone of corporate success in the new economy. This article will discuss the meaning, measurement, and management of intellectual capital. It discusses the forces driving the concern about intellectual capital and how one company, Intel Corporation, has been able to manage intellectual capital to achieve market dominance. Unlike Philip Morris, Coca‐Cola or McDonald's, which earn hundreds of millions year‐in and year‐out from the same product lines, technology companies must constantly reinvent themselves. Intel has managed to do this, but it is the exception.

In the past three decades we have seen the emergence of the generalized linear model (GLM) techniques for analyzing discrete multivariate data when the independent and dependent variables are categorical, ordinal, or mixed. The primary statistical techniques are loglinear modeling, probit, and logistic regression. The purpose of this article is to (a) briefly describe the emergence of these discrete multivariate techniques in the medical and social sciences, (b) disclose their relationship to one another, and (c) demonstrate the utility of hierarchical loglinear modeling in managerial research