Contextual identity experiencing facilitates resilience in Native American academics

This article discusses the socio-cultural dynamics that interact with ethno-racial identity experiencing in a previously under-researched group. A qualitative interdisciplinary study with 40 Native American academics from 28 mainstream universities across the U.S. served as a case example with findings that contrasted with historically influential theoretical frameworks postulating identity confusion and conflicts at the intersection of one’s mainstream education and profession versus one’s ethno-racial community grounding. Instead of feeling pressure to identify with only one worldview, the contextual, dynamic identities associated with the inclusive and flexible self-concept of tribal participants allowed them to in turn take advantage of two divergent cultural meaning systems pertaining to their distinct socio-cultural contexts. These shifts were experienced as not endogenous but rather exogenous variables, which did not cause the historically theorized issues. Participants felt their tribal identities instead facilitated meaningful integration of the existing incongruences, which resulted in unexpectedly resilient subjective experiencing.     

Focusing on followers: The role of regulatory focus and possible selves in visionary leadership

Vision communication is considered to be essential for leaders to mobilize followers, but knowledge of how and why vision communication may influence followers is scarce. We argue that visions may invite followers to create an ideal self (a desired image of the self). Subsequent consideration of this ideal self may motivate followers to make the ideal self (and thus the vision) reality. Furthermore, we propose that visions that focus on followers (by addressing followers personally and involving them in the vision) are more likely to lead to the creation of an ideal self and hence to higher follower performance than visions that do not focus on followers. Moreover, we argue that this effect is particularly strong for followers with a promotion self-regulatory focus, a focus on reaching ideals and ideal selves, because promotion focus causes sensitivity to the presence or absence of ideals (Higgins, 1987, 1996, 1997). The results of two experiments support our predictions.     

Nenparametric Two-Group Classification: Concepts and a SAS-Based Software Package

This article introduces BestClass, a set of SAS macros, available in the mainframe and workstation environment, designed for solving two-group classification problems using a class of recently developed nonparametric classification methods. The criteria used to estimate the classification function are based on either minimizing a function of the absolute deviations from the surface which separates the groups, or directly minimizing a function of the number of misclassified entities in the training sample. The solution techniques used by BestClass to estimate the classification rule use the mathematical programming routines of the SAS/OR software. Recently, a number of research studies have reported that under certain data conditions this class of classification methods can provide more accurate classification results than existing methods, such as Fisher's linear discriminant function and logistic regression. However, these robust classification methods have not yet been implemented in the major statistical packages, and hence are beyond the reach of those statistical analysts who are unfamiliar with mathematical programming techniques. We use a limited simulation experiment and an example to compare and contrast properties of the methods included in Best-Class with existing parametric and nonparametric methods. We believe that BestClass contributes significantly to the field of nonparametric classification analysis, in that it provides the statistical community with convenient access to this recently developed class of methods. BestClass is available from the authors.     

Interactive Multiple Objective Decision Support for Sales Force Sizing and Deployment*

An interactive decision aid is introduced for the deployment of two sales resources: salespeople and sales support staff. The aid consists of a normative sales resource allocation model with five objectives and an interactive multiple objective programming solution procedure. The specific decision problem addressed involves the assignment of salespeople and sales support people to customer accounts and the allocation of the time they spend on these accounts. The authors contribute to the existing sales resource modeling literature by dealing with the deployment of two sales resources and interactively solving this problem with respect to five short-run and long-run objectives of the firm. This approach differs from existing sales force modeling efforts in which the solution is found noninteractively by optimizing a single sales resource model with respect to a single objective, often short-run sales. An application of the decision aid to the deployment problem of an industrial sales force manager is presented. Furthermore, useful extensions of the basic sales resource allocation model are discussed.     

Same difference? Exploring the differential mechanisms linking servant leadership and transformational leadership to follower outcomes

This paper aimed to provide insights into the different mediating mechanisms through which servant leadership (SL) and transformational leadership (TFL) affect followers. We also investigated environmental uncertainty as a moderator of the effects of servant leadership and transformational leadership. Based on the results of two experimental studies and one field study, we concluded that both SL and TFL were related to organizational commitment and work engagement; however, the manner in which they exerted their influence differed. SL worked primarily through follower need satisfaction, whereas TFL worked mainly through perceived leadership effectiveness. The moderating influence of uncertainty was inconsistent across the studies.     

Do Values Matter? The Impact of Work Ethic and Traditional Gender Role Values on Female Labour Market Supply

This article aims to gain a better understanding of the explanatory value of work ethic and traditional gender role values with regard to variation in female labour market supply. Although women’s labour market participation has increased dramatically over the past decades, it still lacks behind that of men. A high female participation rate is desirable for several reasons, for instance to cover rising costs due to the ageing of society. The existing literature has mostly focused on micro-economic and macro factors to explain differences between women in participation rate. However, more recently it has been argued that women’s values may also play an important role in women’s labour market decisions. Work ethic, expressing the moral duty to work in terms of paid employment, is argued to positively affect women’s labour supply. However, it is argued that it can have negative implications too if women who hold more traditional gender role values interpret work and work ethic in terms of housework or in terms of paid employment for men only. This exemplifies the need to study both values at the same time. We used longitudinal Dutch data (LISS panel, 2007–2010) and estimated both cross-sectional and longitudinal models. Both types of models revealed a similar pattern: work ethic is positively associated with women’s labour market participation, but only if we take into account women’s gender role values, which negatively relate to women’s labour market supply.     

Introducing Discriminant Analysis to the Business Statistics Curriculum*

Recently a good deal of interest and effort has been directed toward making statistics courses more effective in business schools. It is believed that a key to success in this area involves giving a more prominent role to statistical tools which are useful in actual business practice. If the research literature is any indication, discriminant analysis (DA) has many potential applications in virtually all areas of business. Yet, DA is rarely taught in undergraduate business and/or M.B.A. statistics courses. This is partially due to the fact that most presentations of DA are relegated to multivariate statistics texts that assume an advanced knowledge of linear algebra. This paper attempts to rectify this situation by proposing a simplified pedagogical approach for introducing linear DA in undergraduate and/or M.B.A. business statistics courses.     

Individual differences as antecedents of leader behavior: Towards an understanding of multi-level outcomes

The leadership research on individual differences is going through a period of revival. However, due to the substantial number of variables in this area and the different knowledge bases they are associated with (e.g., psychology, endocrinology, genetics), the literature is also becoming highly fragmented as it grows. This fragmentation is preventing different literature streams from effectively communicating with each other and synthesizing the rapidly expanding body of knowledge. Consequently, the continued growth of the individual differences literature is at risk. Therefore, we believe that classifying the relevant literature streams and reviewing the key variables in those streams will be beneficial. We do so by organizing this review and research agenda of the leadership literature on individual differences around the recent model developed by Antonakis, Day, and Schyns (2012). In doing so, we hope to unify some of the future research efforts around a recent and recognized conceptual model, and in turn facilitate communication between these different streams of literature. Moreover, insights from this literature also allow us to propose additions and refinements to the model of Antonakis, Day, and Schyns (2012) that may help scholars by indicating other fruitful areas for future research on individual differences.