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Our understanding of what intervention strategies are effective in improving the well-being of older adults experiencing elder abuse and self-neglect (EASN) is severely limited. The purpose of this study was to examine the use of a method called “teaming,” a wraparound approach to provide enhanced social support to older adults experiencing EASN. A teaming intervention was administered by advocates in Maine, USA, as a component of a larger community-based EASN intervention, Repair harm, Inspire change, Support connection, Empower choice (RISE), implemented to complement adult protective services.

Qualitative interviews and a focus group were conducted with RISE advocates (n = 4). A descriptive phenomenological approach involving two independent assessors was used to code transcripts into themes and subthemes.

Three domains were identified: (1) team and support forming process, which describes the development of a supportive network based on each client’s needs; (2) techniques, which refers to the specific strategies advocates use to promote collectivity and shared responsibility around the client; and (3) implementation challenges, which discusses the difficulties advocates encounter when using teaming with people experiencing EASN.

This study represents the first in-depth exploration of teaming in the context of EASN intervention. Preliminary findings on the experiences of advocates suggest that teaming is a beneficial approach to support the individualized needs of each client, and to promote improved and sustainable case outcomes for clients.

Exploring the considerations that guide and influence members of Facebook medical support groups to disclose private information.

The sample included 293 participants, aged 18–85 years, who answered an online survey, 155 members of Facebook medical support groups and 138 members of other Facebook groups.

Members of medical support groups attach greater importance to privacy policy, give greater value to privacy and reveal more private information, compared to members of other groups. Members of medical support groups tend to feel that they receive more support and feel that the privacy policy preserves their privacy much more. These feelings are associated with greater self-disclosure of groups' members.

The research insights will help medical support groups' members and admins to put into action the fundamental right to privacy and build a set of rules tailored to their individual and group needs.

This study aims to perform a scoping review of the recent studies on critical resources required for the doctoral program by mapping the resources at various levels of Bronfenbrenner's ecological systems and their underlying theories. The study proposes a holistic model of supportive resources in the doctoral education.

The current scoping review is supported by Arksey and O'Malley's five-stage methodological guidance The authors reported sixty-eight articles that were published between 2010 and 2023 and complied with the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews (PRISMA-ScR) checklist.

The study identified two categories of resources that promote doctoral student well-being: personal resources such as research self-efficacy and intrinsic motivation of the doctoral student. Second, the contextual resources provided by supervisors, department, family, peers, institution and Government policy impact the well-being of doctoral students. The study relied on the self-determination and conservation of resources theory to determine doctoral students' stress-free, high-quality research journey.

The study findings can help higher education institutions, supervisors, peers and academicians plan and implement the finest resources to improve the well-being of doctoral students. The institutions can develop a wide range of strategies, tailored supportive programs, and interventions that can help in improving students' mental and emotional health, based on the developed multifaceted resource framework. Doctoral students can also use the review's findings to help them deal with program obstacles by encouraging themselves internally and participating in mentoring programs.

This review article proposes a comprehensive conceptual framework by considering Bronfenbrenner's ecological systems on multilevel resources that help to understand the inter-relationship between resources required in the doctoral student's program.

Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these backgrounds, this study aims to identify the knowledge, knowledge management (KM) processes and knowledge management system (KMS) priority needs for quarantine fish and other fishery products measures (QMFFP) and then develop a classification model and web-based decision support system (DSS) for QMFFP decisions.

This research methodology uses combination approaches, namely, contingency factor analysis (CFA), the cross-industry standard process for data mining (CRISP-DM) and knowledge management system development life cycle (KMSDLC). The CFA for KM solution design is performed by identifying KM processes and KMS priorities. The CRISP-DM for decision classification model is done by using a decision tree algorithm. The KMSDLC is used to develop a web-based DSS.

The highest priority requirements of KM technology for QMFFP are data mining and DSS with predictive features. The main finding of this study is to show that web-based DSS (functions and outputs) can support and accelerate QMFFP decisions by regulations and field practice needs. The DSS was developed using the CTree algorithm model, which has six main attributes and eight rules.

This study proposes a novel comprehensive framework for developing DSS (combination of CFA, CRISP-DM and KMSDLC), a novel classification model resulting from comparing two decision tree algorithms and a novel web-based DSS for QMFFP.

Seekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.

A field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).

The study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.

We draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.

Dirty workers occupy jobs and perform tasks that are unpleasant and considered distasteful or “tainted” to other members of society. However, while they experience challenges in managing stigma, they are generally successful in creating positive self-identities. Among these dirty jobs is prostitution. As dirty workers, women sex workers in American history have been treated with humor, ridicule and derision. This study aims to explain the social contexts and the limited economic choices these women faced and examine how they may have managed their dirty work’s stigma to create positive self-identities.

This paper uses primary and secondary sources to examine a 53-year period of American history and to frame these women’s stigma management within a “dirty work” perspective.

The author suggests that sex workers in riskier roles (e.g. street walkers, crib workers or “upstairs girls” in saloons) would have been less able to effectively manage stigma and create positive self-identities as compared to brothels workers, due to the brothel’s strong social support, healthier work culture and richer resources.

While sex work has changed significantly in the past century, the principles of identity management in this difficult and dirty work remain. Understanding the economic, social and individual challenges faced by these dirty workers will aid our understanding of the difficulties confronted by today’s sex workers.

Sex work is nearly absent from scholarly management literature. The lack of historical perspective and knowledge in this field limits a full understanding of how various types of dirty workers manage stigma.

This study aims to explore the different effects of inter-community group networks and intra-community group networks on group innovation.

The authors used a pooled panel dataset of 12,111 self-organizing innovation groups in 463 game product creative workshop communities from Steam support to test the hypothesis. The pooled ordinary least squares (OLS) model is used for analyzing the data.

The results show that network constraint is negatively associated with the innovation performance of online groups. The average path length of the inter-community group network negatively moderates the relationship between network constraint and group innovation, while the average path length of the intra-community group network positively moderates the relationship between network constraint and group innovation. In addition, both the network density of inter-community group networks and intra-community group networks can negatively moderate the negative relationship between network constraint and group innovation.

The findings of this study suggest that network structural characteristics of inter-community networks and intra-community networks have different effects on online groups’ product innovation, and therefore, group members should consider their inter- and intra-community connections when choosing other groups to form a collaborative innovation relationship.

Relative performance evaluation (RPE) is a widely practiced employee appraisal process in the services industry. In a global delivery model, teams are spread across different geographical locations. The team members work on various tasks under the guidance of different managers and at times under more than one manager for performing the same task. Such complexities make RPE of the team members quite challenging. The paper proposes a methodical step-by-step approach to simplify the evaluation process without compromising on the rigour.

RPE has followed three different approaches. First is the traditional way, wherein evaluators had a common meeting to discuss and arrive at relative evaluation and ranking of members of the peer group employees. In the second, the number of evaluators and employees in a peer group were split in to 2 subgroups. The evaluators provided independent ratings and rankings. Simple mathematical tool then derived the combined ranking. In the third approach, each evaluator evaluated each employee in the peer group and provided the relative ranking for each employee. Again, mathematical tools provided the final ranking considering inputs from all evaluators. All the three evaluation approaches were analysed through an inter-rater agreement method.

All the three approaches for evaluation provided similar results giving confidence that less time-consuming methods could be adopted by evaluators without compromising on the rigour of the evaluation. The outcome of the exercise proved effective as the complaints reaching the ombudsmen reduced as compared to the earlier years. Considerable evaluation time was also saved. The study described in this paper is carried out in a non-unionized, Indian private sector services firm. Its effectiveness in other set ups is yet to be tested.

The research is carried out in the Indian Engineering services firm operating in the Knowledge based sector. Though study results are encouraging, the adaptability of methodology across different sectors and geographies is yet to be tested. More broad based studies are needed to evaluate suitability across firms and regions.

Relative evaluation exercise is challenging for evaluators. Although openness in evaluation is desired, it also makes evaluators uncomfortable in appearing to be taking sides or being opposing a candidate's ranking. The proposed approach brings in anonymity to each evaluator without scarifying individual evaluation.

The proposed methodology can be deployed across different services industries as the proposed methodology is business domain agnostic. It can be easily ported and tailored to align with an individual organization's evaluation philosophy. The suitability and effectiveness of the method can be studied under various types of firms like manufacturing, private, public, NGO, labour oriented, etc. As the proposed method reduces efforts, the stake holders can focus on understanding the relation between employee performance measurement, employee engagement, and long-term outcomes related to employee performance evaluation.

The proposed employee evaluation method leverages inter-rater reliability and agreement tool as a consensus approach to the relative performance ranking exercise. Such an approach to relative performance ranking is original as no prior studies with such an approach are found in the existing Literature.

Different stakeholders frequently disagree on what the true problem is that must be solved and what specific actions must be taken during a change exercise. This article demonstrates a visual method for getting buy-in from stakeholders on the specifics of change using a systems thinking tool known as the current reality tree (CRT).

This study illustrates the use of a systems-thinking methodology to achieve consensus among stakeholders on “what is the real problem?” when envisioning a change. The authors illustrate the effectiveness of the proposed approach using a real-life case study in the context of contract catering.

The CRT enables diverse stakeholders to visualize the cause-and-effect relationships between various problems in a given system and assists them in identifying the set of actions that can address a large number of problems through the change program.

There is little discussion in the literature on change management of a systematic approach to get agreement from stakeholders regarding what the real problem is. This article demonstrates, by way of a case study, how change agents can not only determine which actions will have the greatest impact, but also garner the support of diverse stakeholders.

The purpose of this paper is to examine the contribution that problem structuring methods – a branch of the decision support discipline of operational research – have made in helping managers deal with situations of high complexity. The paper reviews the limitations of traditional operational research and argues that problem structuring methods have expanded the entire discipline and significantly contributed to its holistic nature and problem-solving orientation.

The paper provides a critical discussion of the limitations of the traditional operational research approach and examines how the development and successful application of problem structuring methods have opened up a new paradigm of analysis in management science.

In theoretical terms, problem structuring methods have moved the discipline of operational research away from its positivistic epistemology and towards interpretivism and the acceptance of a subjective social reality. In practical terms, they offer managers a broad range of appropriate analytical tools which provide transparency and offer the opportunity to those affected by the problem situation to be actively involved in the entire modelling process within a facilitated environment.

The paper offers a critical discussion of the contribution that problem structuring methods have made while also identifying the challenges they face as they try to achieve higher levels of recognition and acceptance in management science.