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Self-neglect is a public health concern that can manifest as failure to provide oneself adequate food, water, clothing, shelter, personal hygiene, medication or safety precautions. This paper sought to inform federal policy and research priorities regarding effective strategies to detect, prevent and address self-neglect. This study aims to inform federal policy and research priorities regarding effective strategies to detect, prevent, and address self-neglect.

The authors conducted a rapid review of self-neglect literature and interviews with five national subject matter experts to inform federal policy and research priorities.

This study identified gaps in the literature and several approaches and numerous challenges to preventing, identifying and addressing self-neglect. The lack of a nationally accepted definition of self-neglect, a dearth of longitudinal studies which has limited research on self-neglect etiology and trends, and limited development and validation of screening tools, are among the challenges.

Findings indicate that comparisons of self-neglect definitions, and longitudinal studies of self-neglect by subpopulations, are needed areas of future research. Issues for policy consideration include national self-neglect data collection and reporting requirements.

This study synthesizes recent literature on self-neglect, highlights gaps in the literature on self-neglect and points toward federal policy priorities for advancing effective strategies to detect, prevent and address self-neglect.

Social media are central to the creation and maintenance of social relations, including romantic relations. While much of the scholarship has examined how social media play a role in the initiation and maintenance of romantic relations, little is known about their role in romantic dissolution. This chapter fills this gap by examining the kinds of strategies young adults employ to cope with the aftermath of a romantic breakup complicated by Facebook. Based on qualitative analysis of 10 interviews with young adults, the authors propose a typology of Facebook coping strategies for romantic breakups. The typology includes seven types of coping strategies with 12 subtopics and 25 specific actions linked to the subtopics. The authors find that those coping with a breakup engage in erasing and avoiding breakup reminders and digital traces, as they perceive them as hurtful. They regulate their use of Facebook and limit Facebook communication with the ex. An important coping strategy used was to express their emotions via Facebook content, often aimed at the ex-partner. They also use Facebook to seek support and new information about the ex, including about potential new romantic interests. Others preferred to avoid information about the ex and either deleted the ex and their friends or chose to unsubscribe to updates. Coping strategies included preventative measures such as changing passwords, blocking the ex, and adjusting privacy settings. We found our participants engaged in both goal-directed and emotionally based coping strategies. Yet, the findings suggest a tendency to rely more extensively on goal-directed coping strategies by actively addressing the breakup stressor. We also note that coping strategies specific to Facebook are more likely to be used than traditional offline forms of coping. This exploratory study serves as a starting point to better understand the role that Facebook plays in mediating online behaviors following a romantic dissolution, such that these strategies can be subsequently evaluated in terms of usefulness in clinical coping recommendations.

The authors speculate only about relatively short-term advances in special education for students with emotional and behavioral disorders. Speculation is confined to the overlapping areas of core values, technologies, neuroscience, and law/policy. In core values, the authors hope to see a resurgence of commitment to special, effective instruction and to practice aligned with scientific evidence. It is hoped that technologies will advance practices in instruction, improve the uses of artificial intelligence in teacher training and teaching, and encourage the appropriate use of artificial reproduction to avoid disorders. Neuroscience, it is hoped, will yield more reliable and helpful classification of disorders, better and more useful imaging, and more effective treatment of a variety of emotional, behavioral, and academic problems. In law and policy, the authors hope the Supreme Court's Endrew case will result in greater focus on challenging, appropriate education. Law and policy should also encourage trauma sensitivity in education, make whole-school approaches to trauma sensitivity the priority, and avoid universal trauma screening. Students' and families' legitimate interests in confidentiality and data privacy should be protected in newly constructed information-sharing infrastructures.

We present a model of reappropriation, the phenomenon whereby a stigmatized group revalues an externally imposed negative label by self-consciously referring to itself in terms of that label. The model specifies the causes and consequences of reappropriation as well as the essential conditions necessary for reappropriation to be effective. To place the concept of reappropriation in proper context, we begin by discussing the roots of stigma and the mediating role played by social categorization and social identity in the realization of stigma’s deleterious effects. We also discuss the strategies available to both individuals and groups by which stigmatized individuals can enhance their devalued social identities. We provide a discussion of two historical cases of reappropriation and some preliminary empirical evidence concerning the consequences of self-labeling and attempting to reappropriate a stigmatizing label. Finally we discuss the implications of the model for groups and teams, both within and outside of organizations.

The purpose of this paper is to investigate the relationship between ownership concentration and human capital (HC) disclosure released via LinkedIn.

This study uses a quantitative methodology. The sample is composed of 150 European companies. Content analysis was used to examine HC disclosure via LinkedIn. Regression analysis was used to test the hypothesis.

The results indicate that ownership concentration negatively influences HC disclosure via LinkedIn, confirming that closely held firms have little motivation to voluntarily release information.

The main limitation of this study relates to the sample size. Furthermore, this study investigates only the quantity of HC disclosure; it does not consider the quality of this information.

The typical ownership structure of European firms generates a force that opposes the growing pressure for internationalization and global transparency. This important issue needs to be considered in investor decisions, HC management and reporting and in setting accounting standards. Moreover, the study points out that, despite the potential opportunities provided by LinkedIn to build and enforce relationships with their stakeholders, companies mainly use LinkedIn for recruitment purposes.

This study contributes to the literature on HC disclosure because it is, to the best of the authors’ knowledge, the first study that exclusively examines HC disclosure by European companies via LinkedIn and because it develops a disclosure index that includes items concerning the stock of knowledge and capabilities of employees in addition to the practices in human resource management.

The purpose of this study was to analyse institutional strategy documents relating to technology-enhanced learning.

In total, 84 documents were sampled from 71 leading higher education institutions (HEIs), identified through the Quacquarelli Symonds World University Rankings 2018. Qualitative content analysis with a directed approach was used to analyse the strategy documents. The specific theory used was disruptive innovation. The use of “innovation”, or variants thereof, was counted in each document. Ten case studies from the sample were used for content analysis.

Technology-enhanced learning-related strategy documents are conservative, advocating the more efficient use of existing technologies, or the incremental enhancement of existing technologies, but not transformation through technology.

By evaluating the extent to which selected institutional strategies engage with innovation in technology-enhanced learning, this study argues HEIs advocate sustaining innovation or efficiency innovation to a greater extent than disruptive innovation.

This research investigates the impact of Industry 4.0 technologies (I4.0) on the resilience of manufacturing firms against the COVID-19 pandemic. The study explores the mediating effects linked to the firm’s supply chain resilience and absorptive capacity in this relationship.

The empirical analysis involves 304 manufacturing firms and uses Partial Least Squares Structural Equation Modeling (PLS-SEM). A two-step hierarchical component model has been employed, considering the statistical analysis validation (reliability and validity) of the LOC and HOC models. The choice of the manufacturing industry is justified due to its degree of automation in emerging economies, such as Mexico, and its significant impact on job creation and the national gross domestic product.

The results confirm the positive impact of I4.0 technologies on companies’ resilience to COVID-19. They also support the indirect effects of the firm’s supply chain resilience and absorptive capacity. Absorptive capacity was found to have a higher significant indirect effect than supply chain resilience. Consequently, the study accentuates the significance of leveraging external knowledge and highlights the role of acquisition, assimilation, transformation, and exploitation capabilities in enhancing absorptive capacity.

The implications of this research extend to both manufacturing companies and public administrations, suggesting the need for I4.0 technologies implementation and supportive policies aimed at fostering absorptive capacity.

This research contributes to the literature by filling gaps in empirical studies in the context of developing economies. It provides valuable insights into the effects of I4.0 on absorptive capacity, supply chain resilience, and COVID-19 resilience, particularly in non-essential supply chains. It enriches the understanding of how I4.0 impacts the absorptive capacity and resilience of the supply chain during the COVID-19 crisis.