Servant Leadership: A systematic review and call for future research

Notwithstanding the proliferation of servant leadership studies with over 100 articles published in the last four years alone, a lack of coherence and clarity around the construct has impeded its theory development. We provide an integrative and comprehensive review of the 285 articles on servant leadership spanning 20?years (1998–2018), and in so doing extend the field in four different ways. First, we provide a conceptual clarity of servant leadership vis-à-vis other value-based leadership approaches and offer a new definition of servant leadership. Second, we evaluate 16 existing measures of servant leadership in light of their respective rigor of scale construction and validation. Third, we map the theoretical and nomological network of servant leadership in relation to its antecedents, outcomes, moderators, mediators. We finally conclude by presenting a detailed future research agenda to bring the field forward encompassing both theoretical and empirical advancement. All in all, our review paints a holistic picture of where the literature has been and where it should go into the future.     

Physical and mental health inequalities between native and immigrant Swedes

To study health inequalities between native and immigrant Swedes, we investigated differences in self‐rated health (SRH), mental wellbeing (MW), common symptoms (CS), and persistent illness (PI), and if socioeconomic status (SES), negative status inconsistency, or social support could account for such differences. A secondary analysis was conducted on questionnaire data from a random adult population sample of 4,023 individuals and register data from Statistics Sweden. χ² tests and binary logistic regressions were used to identify health differences and study these after accounting for explanatory variables. Compared with natives, immigrants more commonly reported negative status inconsistency, poorer SES, and poorer social support as well as poor SRH, very poor MW, and high level of CS but not PI. Significant differences were accounted for by work‐related factors and social support. We encourage future research to address how pre‐ and peri‐migration factors relate to immigrants’ post‐migration SES, social support, and health status.

Policy Implications

• Given the relationship between work‐related factors (employment status, hours worked per week, and income) and all health outcomes in this study, labour market interventions that facilitate the integration of immigrants into the labour market, and into occupations that better correspond with their capacity, will arguably have public health benefits.
• Feelings of loneliness was, in our study, important in accounting for immigrants’ poorer self‐rated health compared with natives’. Therefore, we endorse interventions that facilitate immigrants’ social networking and integration and thereby reduce feelings of loneliness.
• Common physical and mental symptoms may be important indicators of health and we, thus, suggest these to be taken into account when developing ill‐health prevention programmes.

     

Patterns of Sexual Experience Among Urban Latino and African American Ninth Grade Students

This analysis assessed patterns of sexual experience, the order in which behaviors were initiated, and associated factors, among Latino and African American ninth grade students (average age 15.2) who self-administered audio-computer-assisted surveys on netbooks in classes at 10 Los Angeles–area public high schools. Lifetime experiences with vaginal and oral sex were most common (19% and 16%, respectively); fewer reported anal sex (6%). Of the 23% reporting any sex, 91% fell into four categories: 36% reporting both oral and vaginal sex; 23% vaginal only; 18% all three; and 13% oral only. Most sexually experienced students (88%) initiated with vaginal or oral sex (46% vaginal, 33% oral, 9% both same day). No dominant pathway of sexual onset emerged for those reporting all three types of sex. We found no evidence that oral or anal sex substituted for or delayed vaginal sex. Males, those with a current partner, and those reporting multiple partners were more likely than others to report all three sexual behaviors versus vaginal only (odds ratios [ORs] 2.0, 1.5, 3.0; p = .02, .06, < .01, respectively). Although vaginal intercourse dominated their early sexual behavior, one-fifth of sexually experienced students reported anal intercourse, highlighting the need for specific prevention messages surrounding this higher-risk behavior.     

“Hedge Your Bets”: Technology’s Role in Young Gay Men’s Relationship Challenges

Technology is playing an increasingly pervasive role among young gay men in the process of meeting potential romantic or sexual partners. We investigated challenges posed by technology related to young gay men’s relationships. Focus groups (n = 9) of young gay men aged 18–24 (n = 43) were transcribed verbatim, and thematic analysis was used to identify two major themes regarding challenges to relationship development and maintenance. Subthemes include unrealistic expectations of relationships, inauthentic self-presentation online, sexual primacy over romance, increased opportunities for infidelity, and jealousy. The implications of this study for sexual education and sexual health promotion are discussed.     

Best friends: the role of confidantes in older women's health

This article explores personal, network, and community contexts in older women's friendships and health. Twenty-six older women (mean age, 67; range 55-85 years) in San Francisco were asked to choose the one individual to whom they felt the closest and then discuss how this individual contributed to their health. Their choices were numerous, diverse, contextual, and circumstantial. Other women were chosen most often; however, this belies the complexity of their choices. Confidants were chosen primarily for expressive reasons, but instrumental reasons proved important too, particularly for lower class women. Older women called upon their closest ties with physical, social, and emotional problems; they were less likely to call upon them with mental, financial, or spiritual concerns. Family members were preferred to friends for direct caregiving; however, some older women felt they would call upon their friends as well. Confidants kept older women healthy by offering advice and encouragement about diet and exercise; by providing meals and transportation; by laughing, talking, and joking with them; by keeping them happy and feeling good about themselves; and, on rare occasions, by offering spiritual guidance. Practical and policy considerations of their choices were discussed.     

MEASURING QUALITY OF LIFE IN INFORMAL SETTLEMENTS IN SOUTH AFRICA

South African cities attract thousands of new residents every year in search of work and a better life. The housing backlog coupled with a shortage of housing subsidies means that for many South Africans there is no alternative but to live in informal housing and shack settlements. Informal settlements are therefore here to stay for the next decade and beyond. Given the importance of these residential areas, research needs to be undertaken to determine how to improve the lives of people living in shack settlements. This theme has received little dedicated attention by South African quality of life researchers in the past and the paper begins to address this by exploring the quality of life of informal dwellers in three distinct city areas in South Africa: Buffalo City, Durban, and Alexandra, Johannesburg. The paper investigates the factors that are most important in improving the quality of life of residents in informal housing as well as the main obstacles to a better quality of life. It uses regression analysis to obtain an understanding of the kinds of issues which shape quality of life in these areas and concludes by suggesting several research directions which would improve our knowledge of quality of life for informal settlement residents.     

A factor model approach for the joint segmentation with between‐series correlation

We consider the detection of changes in the mean of a set of time series. The breakpoints are allowed to be series specific, and the series are assumed to be correlated. The correlation between the series is supposed to be constant along time but is allowed to take an arbitrary form. We show that such a dependence structure can be encoded in a factor model. Thanks to this representation, the inference of the breakpoints can be achieved via dynamic programming, which remains one the most efficient algorithms. We propose a model selection procedure to determine both the number of breakpoints and the number of factors. This proposed method is implemented in the FASeg R package, which is available on the CRAN. We demonstrate the performances of our procedure through simulation experiments and present an application to geodesic data.     

Exact or approximate inference in graphical models: why the choice is dictated by the treewidth,and how variable elimination can be exploited

Probabilistic graphical models offer a powerful framework to account for the dependence structure between variables, which is represented as a graph. However, the dependence between variables may render inference tasks intractable. In this paper, we review techniques exploiting the graph structure for exact inference, borrowed from optimisation and computer science. They are built on the principle of variable elimination whose complexity is dictated in an intricate way by the order in which variables are eliminated. The so‐called treewidth of the graph characterises this algorithmic complexity: low‐treewidth graphs can be processed efficiently. The first point that we illustrate is therefore the idea that for inference in graphical models, the number of variables is not the limiting factor, and it is worth checking the width of several tree decompositions of the graph before resorting to the approximate method. We show how algorithms providing an upper bound of the treewidth can be exploited to derive a ‘good' elimination order enabling to realise exact inference. The second point is that when the treewidth is too large, algorithms for approximate inference linked to the principle of variable elimination, such as loopy belief propagation and variational approaches, can lead to accurate results while being much less time consuming than Monte‐Carlo approaches. We illustrate the techniques reviewed in this article on benchmarks of inference problems in genetic linkage analysis and computer vision, as well as on hidden variables restoration in coupled Hidden Markov Models.     

A COMPARISON OF ANALYSIS METHODS FOR LATE‐STAGE VARIETY EVALUATION TRIALS

The statistical analysis of late‐stage variety evaluation trials using a mixed model is described, with one‐ or two‐stage approaches to the analysis. Two sets of trials, from Australia and the UK, were used to provide realistic scenarios for a simulation study to evaluate the different methods of analysis. This study showed that a one‐stage approach gave the most accurate predictions of variety performance overall or within each environment, across a range of models, as measured by mean squared error of prediction or realized genetic gain. A weighted two‐stage approach performed adequately for variety predictions both overall and within environments, but a two‐stage unweighted approach performed poorly in both cases. A generalized heritability measure was developed to compare methods.