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Introduces a special issue on globalization and the welfare state. Asserts that economic globalization constrains national economic and social policy far more now than ever before, although the level of international trade has not increased that much compared to levels at the beginning of this century. Talks about the political consequences of economic globalization, particularly welfare state retrenchment in the advanced capitalist world. Outlines the papers included in this issue – comparing welfare system changes in Sweden, the UK and the USA; urban bias in state policy‐making in Mexico; and the developing of the Israeli welfare state. Concludes that economic globalization has a limited effect in shaping social welfare policy in advanced capitalist countries; nevertheless, recommends further research into which aspects of economic globalization shape social welfare policy.

The purpose of this paper is to examine whether the emotional experiences from qualitative research can enrich organization and management studies.

The paper's approach includes a review of the literature in sociology, anthropology, psychology, and feminist studies, in which scholars have argued convincingly for the explicit need to acknowledge and utilize the emotions of researchers as they study social and organizational phenomenon. Also, past research is emotionally re‐written as reflexive examples.

The use of emotions as qualitative researchers can enrich the understanding of organizational and social life by offering new questions, concepts, and theories. At the level of methodology, this leads one to develop and reflect upon an emotional and cognitive orientation of the field.

The majority of narratives in organization studies remain sanitized, emotion‐less texts. While a discussion of researcher‐emotion can remain a back‐stage activity between colleagues over dinner, It is believed that much can be gained by a more explicit discussion.

The purpose of this study is to assess the ability of a theoretically motivated statistical model to accurately forecast annual, national counts of terror attacks out-of-sample.

Bayesian multi-level models, classification analysis, marginal calibration plots

We find that the model forecasts reasonably well, but conclude that its overall performance suggests that it is not ready for use in policy planning. This is likely due to the coarse temporal and spatial aggregation of the data.

The implications of this study are that social scientists should devote more effort into evaluating the predictive power of their statistical models, and that annual, national data on violent conflict are probably too coarse to provide useful information for policy planning.

The primary value of our modeling effort is to provide a baseline against which to evaluate the performance of more region- and country-specific models to be developed in the future.

The present chapter demonstrates how the use of neural network software such as CATPACII^TM can aid researchers to map a vast amount of literature in order to identify emerging and established research trends. Furthermore, the use of this methodology allows for the generation of research ideas. This is particularly relevant in view of the substantially increasing number of global scholarly contributions. The utilization of the methodology is exemplified at the intersection of literature bodies in entrepreneurship, information and communication technologies (ICT), and economic development.

The purpose of this chapter is to present an overview of the status of African American women in academe. The primary context is the Predominately White Institution and the terms African American and Black are used interchangeably. We discuss the silencing of this group of women while privileging others. To date, little has been written on this topic. Much less has been written about the African American females’ struggles in silence, both personally and professionally (Collins, 1986). We end by putting forth strategies that African American women might consider as they soar in leadership roles.

This chapter contributes to the discourse of difference by problematizing the sameness/difference trope through the lens of the exceptional. It explores the nature of being exceptional with an expectation that its nature is contingent and variable. At the heart of understanding what constitutes exceptional is its implicit comparison with the average. While exceptional is defined to include both individuals who achieve in extraordinary ways and individuals with a physical or mental impairment, the two definitions are consonant in that both describe individuals who deviate from expected norms. Relying on the insights from pragmatism, this chapter considers community habits exceptional individuals must confront in forming their choices. In this way, it further adheres to the lessons from pragmatism for norm change. The strategies individuals use to alter the effects of being perceived as exceptional contribute to the overall discourse in equality and equal protection and potentially constitute the individual action that formulates change. It examines some approaches to the Americans with Disabilities Act (ADA) derived from civil rights and from economic perspectives and the relevant matrix of choices available to the exceptional to understand the potential for productive change. With this foreground, it examines the choice of exceptional individuals to cover or convey matters of their identity. This chapter pays particular attention to these choices in seeking accommodations under the ADA. Ultimately, this study strives to participate in the conversation seeking to maximize human potential.

The purpose of this article is to present an overview of the history and development of transaction log analysis (TLA) in library and information science research. Organizing a literature review of the first twenty‐five years of TLA poses some challenges and requires some decisions. The primary organizing principle could be a strict chronology of the published research, the research questions addressed, the automated information retrieval (IR) systems that generated the data, the results gained, or even the researchers themselves. The group of active transaction log analyzers remains fairly small in number, and researchers who use transaction logs tend to use this method more than once, so tracing the development and refinement of individuals' uses of the methodology could provide insight into the progress of the method as a whole. For example, if we examine how researchers like W. David Penniman, John Tolle, Christine Borgman, Ray Larson, and Micheline Hancock‐Beaulieu have modified their own understandings and applications of the method over time, we may get an accurate sense of the development of all applications.