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The proliferation of bibliometric review articles is a true reflection of how bibliometrics is gaining popularity and has been widely adopted in various disciplines. The growing interest of scholars has encouraged us to dwell upon the what, why, when, how, and where of bibliometric literature reviews. The study explained the bibliometric review with the standpoint that it can be considered a strong review method for analyzing a large volume of data and scholars can supplement their traditional reviews with bibliometric reviews to strengthen their knowledge. This will help researchers to justify the (a) need for a study on the particular topic; (b) type or method of review chosen; (c) number of articles selected; (d) inclusion and exclusion criterion; (e) method of analysis; and (f) presentation of the findings.

Purpose: The study elaborates the contextual conditions of the academic workplace in which gender, age, and nationality considerably influence the likelihood of self-categorization as being affected by workplace bullying. Furthermore, the intersectionality of these sociodemographic characteristics is examined.

Basic Design: The hypotheses underlying the study were mainly derived from the social role, social identity, and cultural distance theory, as well as from role congruity and relative deprivation theory. A survey data set of a large German research organization, the Max Planck Society, was used. A total of 3,272 cases of researchers and 2,995 cases of non-scientific employees were included in the analyses performed. For both groups of employees, binary logistic regression equations were constructed. the outcome of each equation is the estimated percentage of individuals who reported themselves as having experienced bullying at work occasionally or more frequently in the 12 months prior to the survey. The predictors are the demographic and organization-specific characteristics (hierarchical position, scientific field, administrative unit) of the respondents and selected interaction terms. Using regression equations, hypothetically relevant conditional marginal means and differences in regression parameters were calculated and compared by means of t-tests.

Results: In particular, the gender-related hypotheses of the study could be completely or conditionally verified. Accordingly, female scientific and non-scientific employees showed a higher bullying vulnerability in (almost) all contexts of the academic workplace. An increased bullying vulnerability was also found for foreign researchers. However, the patterns found here contradicted those that were hypothesized. Concerning the effect of age analyzed for non-scientific personnel, especially the age group 45–59 years showed a higher bullying probability, with the gender gap in bullying vulnerability being greatest for the youngest and oldest age groups in the sample.

Interpre4tation and Relevance: The results of the study especially support the social identity theory regarding gender. In the sample studied, women in minority positions have a higher vulnerability to bullying in their work fields, which is not the case for men. However, the influence of nationality on bullying vulnerability is more complex. The study points to the further development of cultural distance theory, whose hypotheses are only partly able to explain the results. The evidence for social role theory is primarily seen in the interaction of gender with age and hierarchical level. Accordingly, female early career researchers and young women (and women in the oldest age group) on the non-scientific staff presumably experience a masculine workplace. Thus, the results of the study contradict the role congruity theory.

To overcome and solve the problems of all the research community, in this chapter we offer everyone to focus on the Planning, Operationalizing, Writing, Embedding, and Reflecting (POWER) framework of conducting literature review. The framework guides the scholarly community on how to create and evaluate literature review papers to overcome the merit dilemma on the contribution made by review papers. With the sole focus toward review of literature, we are pleased to present “Review of Management Literature (RoML)” and introducing the first volume. This chapter and volume answers the present tensions accruing in the existing literature as well as present strategies on bridging the gaps. The chapters included in the first volume belong to emerging research areas such as marketing, human resources, international businesses, supply chain management, artificial neural network, luxury consumption, financial technology (FINTECH), mergers and acquisition, social media platforms like Instagram, cultural diversity, services, sustainability, quality 4.0, entrepreneurial ecosystem, and dividend decisions. The first volume is going to be useful to scholars in exploring future research areas across business management disciplines.

Xavier University of Louisiana has a national reputation for producing science, technology, engineering, and mathematics (STEM) graduates who go on to obtain MD and PhD degrees. According to a 2013 National Science Foundation report, Xavier is ranked first in producing African American graduates who go on to receive life sciences PhD degrees, fifth in the nation in producing African American graduates who go on to receive science and engineering PhD degrees, and seventh in producing African American graduates who go on to receive physical sciences PhD degrees. Xavier is currently third among the nation’s colleges and universities in the number of African American graduates enrolled in medical school, according to data compiled by the Association of American Medical Colleges, and ranked first in the number of African American alumni who successfully complete their medical degrees. The success of Xavier’s graduates is due to a combination of university-based student support initiatives and externally funded programs, in particular, the Building Infrastructure Leading to Diversity (BUILD), Maximizing Access to Biomedical Research Careers (MARC) U*STAR, and Research Initiative in Scientific Enhancement (RISE) programs. These three programs, funded by the Training, Workforce Development, and Diversity (TWD) Division at the National Institutes of Health (NIH), offer select trainees undergraduate research opportunities, support mechanisms, and a variety of activities designed to improve their potential for success in graduate school. The BUILD, MARC U*STAR, and RISE programs work closely together and with the University to leverage the resources provided by each in order to provide the best experience possible for their students with a minimum of redundancy of effort. This chapter focuses on the program components and how the programs work together.

This chapter presents the current research status of family constitutions from an economics perspective. It locates the family constitution as part of the family and business governance structure of a family firm and the owner family. The typical structure and content of a family constitution are introduced. The chapter focuses on the status of research about family constitutions and provides a structured map for future research. With regard to extant research, it must be stated that the stock of literature is small. The contributions to literature are categorized in surveys; conceptual contributions; survey data; small sample, qualitative, empirical studies; and big sample, quantitative, empirical studies. The latter group includes three studies with a separate family constitution variable. This small number symbolizes that the family constitution still is an under-researched area. Therefore, family constitution research is far away from being able to answer central questions of advice-seeking owner families like, for example, whether a family constitution affects family performance, firm performance, or both; or whether the development process of a family constitutions disposes of an effect on family or firm performance separately from the hypothesized effect of the family constitution document.

Purpose – This chapter explores how discourses of obesity as addiction are taken up by weight loss surgery patients and medical and scientific professionals.

Methodology/approach – Based on 14 semistructured interviews, I discuss the ways in which bariatric patients partially account for their presurgical bodies and contemporary struggles with weight loss and regain by referencing food addiction. This work is part of a larger project involving 35 interviews and participant-observation work and therefore these results should thus be considered preliminary.

Findings – I argue that bariatric patients and bariatric professionals portray weight loss surgery as an extraordinary tool that allows the “out of control” to become controllable. However, bariatric patients also emphasize the hard work that is entailed in both losing weight and maintaining a weight loss even after surgery.

Social implications – I suggest that this portrayal, in addition to being an accurate assessment of the potential for regain following weight loss surgery, is a technology of stigma management.

Originality/value – This work contributes to the sociology of the body and medical sociology literatures by illustrating that, within a neoliberal and anti-fat social context, highlighting the hard work involved in weight loss and weight maintenance allows bariatric patients to demonstrate proper subjectivity and thereby reclaim “proper selves” as they work toward a “proper bodies.”

The improvement of the agri-food supply chain sustainability plays pivotal role in the planet’s survival and in overcoming of climate disasters. Digital technologies that support the collection of Big Data produced along the agri-food supply chain (SC) emerge as powerful tools to accelerate the ecological transition of the sector. Digital technologies can support the implementation of circular business models by sharing data across the SC, monitoring in real time the materials flow, automatizing some agricultural practices and improving the decision-making through the development of decision support systems. Despite the relevance of these arguments, there is a lack of shared frameworks and guidelines for the effective development of a “data-driven circular economy” in the agri-food SC. In this scenario, this chapter examines how scholars investigate data-oriented strategies to accelerate the ecological transition and the adoption of circular economy (CE) models in the agri-food sector (AFS). To this end, a systematic literature review (SLR) was performed. Twenty-nine papers were selected following a rigorous sampling process. Both bibliometric and descriptive results are provided in the first part of this chapter. According to the analytical framework developed, the selected papers were examined in light of the “reduce, reuse and recycle” (3R) paradigm. Moreover, an additional R was retrieved from the systematic review (i.e., redesign), broadening the analytical perspective. The results indicate that scholars have predominantly provided theoretical contributions concerning the role of digital technologies and big data for the agri-food circular transition from a macro-perspective. The findings are useful for policy-makers and managers, who can promote and implement the big data-oriented approach to facilitate the circular transition. Limitations and future research directions are also provided.