“Don't you want to stay?” The impact of training and recognition as human resource practices on volunteer turnover

Managing volunteers is a difficult undertaking. This study draws on human resource (HR) management theory and literature to investigate the effect of two HR practices—training and recognition—on volunteer turnover. We use longitudinal administrative data collected by an Indiana nonprofit organization, which contains individual volunteer characteristics, organizational HR practices, and information on actual turnover behavior. We found that recognizing volunteer contributions with awards predicted volunteer retention in the following year. Training did not have a direct effect on volunteer turnover, but interacted with gender; men who received training were more likely to stay than women. The study contributes to the literature on HR management in the volunteer context, adds to the emerging literature on awards as incentives for volunteers, and addresses the common method bias by using longitudinal data.     

Tools of the Serials Trade

Abstract

Many university libraries are facing budget flat-lines or reductions. While finding ways to reduce or reallocate a libraries budget is not new, the planning processes within this article merit consideration, especially for small and medium-sized libraries. Librarians must build and maintain strong relationships with constituencies and be forthright in sharing information so that joint decisions can be made. Developing a strategic plan to address the budget shortfalls and having an effective communication plan are keys to the successful outcome of any budget reduction or reallocation process. This article details the strategies and implementation of one university library.     

Qualitative bereavement research: incongruity between the perspectives of participants and research ethics boards

A central feature of the majority of qualitative research is the interactive nature of data collection which generally involves direct and meaningful communication between the individuals conducting the research and the individuals participating in the research. This core aspect of data collection, however, is frequently flagged as the most concerning or potentially harmful aspect of qualitative bereavement research by research ethics boards. Further, there has been a tendency to conceptualize the bereaved as vulnerable and in need of protection in the research process. Instead of thinking that a research interview which explores the complex, personal issues of grief would potentially harm participants, it may be seen as potentially beneficial to participants when the therapeutic aspects of the interview are considered. Participants’ responses to the interview process in two bereavement studies are offered as illustrations to complement the literature on the potential for the researcher‐participant relationship and the research interview to be perceived as beneficial by bereavement research participants.     

CTiBS and Clinical Social Work: Telebehavioral Health Competencies for LCSWs in the Age of COVID-19

Clinical Social Work Journal - Licensed Clinical Social Workers (LCSWs) have been integrating technology into psychotherapy practice for at least two decades, but the COVID-19 pandemic dramatically...     

Factors Impacting Group Long-Term Care Insurance Enrollment Decisions

This paper examines factors that influence whether or not employees choose to enroll in a group long-term care insurance plan. A conceptual family decision-making framework is used to group factors to study the enrollment decision of 509 state employees who were offered a long-term care insurance plan in 2000. Logistic regression results revealed that employee age, perceived risk, perceived affordability, decision-making style (communication with others and use of information), goals of control and choice, goal of financial peace of mind, household income, and potential caregiver availability explained 68.7% of the decision to enroll. Results support the key role of perception, specifically the perceived risk of needing long-term care and the affordability of the insurance plan, in the decision outcome.     

Children's Appraisal of Peer Rejection Experiences: Impact on Social and Emotional Adjustment

In the current study, 95 children of different social status classifications (rejected, neglected, average, and popular) were exposed to hypothetical vignettes designed to assess their ‘generalized’ rejection sensitivity (GRS) and a mild social rejection experience designed to assess their ‘on‐line’ rejection sensitivity (ORS). Measures of internalizing and externalizing problems were assessed through a composite of peer‐ , parent‐ , and self‐reports. As expected, sociometric rejection was associated with more internalizing and externalizing problems. More importantly, both types of rejection sensitivity were associated with internalizing and externalizing problems after controlling for the effect of peer rejection. High levels of GRS were associated with more internalizing problems for both boys and girls. In addition, rejection sensitivity emerged as a significant moderator of the relation between rejection and externalizing problems. The nature of the moderating effect varied as function of type of rejection sensitivity and gender. Rejected girls with low GRS and rejected boys with high ORS displayed the highest levels of externalizing behavior problems.     

Anticipating acceptance of emerging technologies using twitter: the case of self-driving cars

In an early stage of developing emerging technologies, there is often great uncertainty regarding their future success. Companies can reduce this uncertainty by listening to the voice of customers as the customer eventually decides to accept an emerging technology or not. We show that risk and benefit perceptions are central determinants of acceptance of emerging technologies. We present an analysis of risk and benefit perception of self-driving cars from March 2015 until October 2016. In this period, we analyzed 1,963,905 tweets using supervised machine learning for text classification. Furthermore, we developed two new metrics, risk rate (RR) and benefit rate (BR), which allow analyzing risk and benefit perceptions on social media quantitatively. With our results, we provide impetus for further research on acceptance of self-driving cars and a methodological contribution to acceptance of emerging technologies research. Furthermore, we identify crucial issues in the public perception of self-driving cars and provide guidance for the management of emerging technologies to increase the likelihood of their acceptance.