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This study aims to examine the impact of workplace bullying on employees’ burnout by investigating the mediating effect of affective well-being (AWB).

Data of 532 employees from diverse organizations in Portugal were collected. These data were collected using anonymously completed structured questionnaires available online.

The results support the research hypotheses proposed, confirming that workplace bullying is related to both AWB and burnout. Moreover, affective workplace bullying partially mediates the relationship between workplace bullying and burnout, indicating that the victims have their AWB reduced, and, consequently, increase their burnout levels.

The findings suggest that organizations can foster employees’ AWB and reduce the level of burnout by encouraging organizations to develop preventive policies and practices to safeguard against bullying at work.

To this date, only a few studies have examined mediating and moderating variables (Nielsen and Einersen, 2018) and none include AWB as a mediator of the relationship between workplace bullying and burnout. This study answers the call for further empirical research from those who have argued that more information is needed to understand the workplace bullying phenomenon and contributes to the growing debate on this topic and its effects on employees.

Service robots present a new frontier in the provision of services, with far-reaching implications for customers and managers alike. The purpose of this chapter is to examine how service robots impact service providers' current marketing strategies. For this, the authors perform an integrative, nonsystematic review of international gray and academic literature to understand how both practitioners and academics perceive the impacts of the technology. Based on this analysis, the present work identifies three key themes that emerge from the current state of practitioner and academic research, namely (1) service robots demand new core business capabilities and competencies, (2) service robots offer new value propositions, and (3) service robots impact not only service providers' cost structures but also revenue streams. These insights are combined into the Service Robot Innovation Canvas, a visual tool for service providers to identify the impact of service robot implementations on a company's marketing strategy. In addition, based on the analyzed literature, the most pressing questions for researchers are laid out in a research agenda.

In recent years, guides to hiking trails and wilderness areas have enjoyed an increase in popularity. Here, Douglas J. Ernest and Lewis B. Herman evaluate more than 100 such books.

The puropose of this study is to analyze the functioning of the triple helix interaction in Minas Gerais, through the case study of the Minas Gerais State Research Support Foundation (Fapemig).

The information was collected from the Activity Reports published by Fapemig. Quantitative methods were used for structural analysis and data tabulation of the researched and qualitative programs for a procedural and documentary analysis of projects promoted by Fapemig between the years 2009 and 2018.

The Fapemig showed itself to be a fundamental agent for innovation and the development of interactions between the state, universities and companies in Minas Gerais, through the creation of programs, offered in public notices, financing them and creating a space of consensus among the agents.

There is few research on triple helix interaction for the state of Minas Gerais; most research on this topic is concentrated in some regions of the country, and the present work contributes to fill this research gap, besides demonstrating, in a case study, applications of recent and still little-explored concepts of the literature on triple helix.

The following classified, annotated list of titles is intended to provide reference librarians with a current checklist of new reference books, and is designed to supplement the RSR review column, “Recent Reference Books,” by Frances Neel Cheney. “Reference Books in Print” includes all additional books received prior to the inclusion deadline established for this issue. Appearance in this column does not preclude a later review in RSR. Publishers are urged to send a copy of all new reference books directly to RSR as soon as published, for immediate listing in “Reference Books in Print.” Reference books with imprints older than two years will not be included (with the exception of current reprints or older books newly acquired for distribution by another publisher). The column shall also occasionally include library science or other library related publications of other than a reference character.

A huge volume of published research articles is available on social media which evolves because of the rapid scientific advances and this paper aims to investigate the research structure of social media.

This study employs an integrated topic modeling and text mining-based approach on 30381 Scopus index titles, abstracts, and keywords published between 2006 and 2021. It combines analytical analysis of top-cited reviews with topic modeling as means of semantic validation. The output sequences of the dynamic model are further analyzed using the statistical techniques that facilitate the extraction of topic clusters, communities, and potential inter-topic research directions.

This paper brings into vision the research structure of social media in terms of topics, temporal topic evolutions, topic trends, emerging, fading, and consistent topics of this domain. It also traces various shifts in topic themes. The hot research topics are the application of the machine or deep learning towards social media in general, alcohol consumption in different regions and its impact, Social engagement and media platforms. Moreover, the consistent topics in both models include food management in disaster, health study of diverse age groups, and emerging topics include drug violence, analysis of social media news for misinformation, and problems of Internet addiction.

This study extends the existing topic modeling-based studies that analyze the social media literature from a specific disciplinary viewpoint. It focuses on semantic validations of topic-modeling output and correlations among the topics and also provides a two-stage cluster analysis of the topics.