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A decline in participation in research studies as people age is inevitable as health declines. This paper aims to address this by collecting data from a group of participants to examine their reasons for declining attendance and suggestions for maintaining attendance as participants age.

This research used a postal self-completed questionnaire including open and closed questions. The questionnaire was sent to those participants who have declined to attend further clinic visits. Results were analysed using thematic content analysis.

The study had a 51% response rate. Participants reported difficulty with travelling to the clinic, and health as the main issues in addition to family demands and a lack of understanding regarding the continuing participation of a singleton twin.

This study could only include data from responding participants, answers to open question also included comments from participants regarding their twin.

An anonymous questionnaire was sent to all individuals in the Keeping Together project. It was therefore not possible to identify if responses were from both members of a twin pair.

Maintaining participation in longitudinal studies is of crucial importance to enhance the value of data. Retention of participants in studies may change as people age and health becomes impaired. Suggestions for maintaining and improving the retention of older participants have been identified and are generalisable to other longitudinal studies of ageing.

The purpose of this research is to explore the dynamics of using strategic human resource management (SHRM) practices in the public sector. More specifically, this paper tries to point out some main aspects of SHRM, which strongly influence the decision of employees to stay. The empirical study here tends to reveal greater insights into the SHRM-retention relationship and its validation at the National Bank of Egypt (NBE).

This research is co-relational in nature with cause and effect approach. The design of the study is both descriptive in the theoretical part and quantitative in the applied one. Theoretically, this paper adopted the analytical approach to define the main concepts, aside from an empirical study to investigate correlations in practice.

This paper concludes that the employment of best HRM practices is deemed a remarkable strategic tool in the retention of core public employees. Also, the results of analysis provide evidence that SHRM contributes to employee retention at NBE.

The findings and recommendations of this research can practically guide management to devise effective policies to improve employee retention using appropriate SHRM activities, particularly in the Egyptian public organizations.

This research has valuable implications for both theory and practice, as it offers several contributions to literature in the field of study, as well as the practical contribution.

Virtual reality (VR) technologies have been gaining popularity in training and development in many fields to promote embodied training. However, its adoption in management has been slow and rigorous empirical research to understand its impact on learning and retention is scarce. Thus, this paper aims to examine the benefits of VR technologies for management training.

Through a longitudinal experiment comparing VR platforms and a traditional video platform, this study examines two as yet unexplored benefits of VR technologies vis-à-vis management training – the cognitive outcome and affective reaction of the training experience over time.

This study finds that, for cognitive outcomes, immediate gains are similar across video and VR platforms, but subsequent knowledge retention is significantly higher for VR platforms. In terms of affective reaction, VR platforms generate significantly more enjoyment, which carries over to two weeks later, and is partially associated with higher knowledge retention.

This study has implications for management and human resource trainers and system designers interested in integrating VR for training and development purposes.

This study makes a unique contribution by unpacking the long-term benefits of an embodied training system, as well as identify a possible link between cognitive outcomes and affective reaction.

Employment-related measures play a significant part in preventive and mitigative social policies. The importance of these actions is especially emphasised in times of crisis. This paper provides empirical insights into employment-related measures implemented in a sample of OECD countries as a response to the COVID-19 crisis in 2020. Furthermore, it addresses the continuity of the measures by July 2022.

The research applies and further develops a capability approach in the COVID-19 context to provide a theoretically informed empirical understanding of the implemented employment related measures.

The results indicate that countries expanded the coverage of previous preventive and mitigative employment measures horizontally and vertically while also introducing new schemes to protect workers. The main conclusions suggest that most employment-related measures (65.5%) were preventive aiming at saving jobs and broadening peoples capabilities with bridging measures during the crisis. The employment measures served first as an emergency aid. However, most measures were recalibrated and changed incrementally toward 2022.

The data consisted major employment-related measures and changes in social policies the studied countries. The authors focussed the examination on governmental-level measures. Thus, sub-national or sector-specific responses, for example tripartite agreements in certain employment sectors or social transfers in certain areas, were excluded.

The way in which welfare states reacted to employment problems during the COVID-19 pandemic may have an impact on how governments approach social policies in the future. The capability approach exhibits a pronounced strength by facilitating the establishment of sustainable trajectories for social policy and welfare services.

The capability approach embracing the preactive and proactive role of social policies lends a unique perspective on public policies.

The purpose of this scoping review is to analyse comparative studies on social-policy measures implemented during the COVID-19 pandemic in Global North welfare states. The authors also consider the potential influence of the regimes on the responses.

The authors conducted a scoping review of six databases including peer-reviewed comparative studies. In an iterative process with exact inclusion criteria, the authors screened 699 titles/abstracts/articles and found 16 comparative research articles to be included in the review and analysis. The review summarises the main themes of the comparative articles and the articles' typical features.

The results show that social-policy measures were directed specifically at working-age people to minimise income loss and to save jobs. The pandemic also increased care-related responsibilities, necessitating the expansion of current policies and the implementation of new instruments. Despite the differences in responses between universalistic and residual welfare states, the influence of welfare regimes on COVID-19 social-policy measures remains unclear. The emergency responses in the different regimes varied widely in terms of coverage.

The results of this review provide a basis on which to conduct future studies, identify new research topics and knowledge gaps and inspire new research questions and hypotheses. Given the accumulation of scientific knowledge in the area of social-policy measures, the need for systematic reviews will grow in the future.

The authors identified three main themes: changes in employment protection, changes in care-related income protection and the potential influence of welfare-state regimes on COVID-19-related measures.

The article applies the citizen science phenomenon – i.e. lay people involvement in research endeavours aimed at pushing forward scientific knowledge – to healthcare. Attention is paid to initiatives intended to tackle the COVID-19 pandemic as an illustrative case to exemplify the contribution of citizen science to system-wide innovation in healthcare.

A mixed methodology consisting of three sequential steps was developed. Firstly, a realist literature review was carried out to contextualize citizen science to healthcare. Then, an account of successfully completed large-scale, online citizen science projects dealing with healthcare and medicine has been conducted in order to obtain preliminary information about distinguishing features of citizen science in healthcare. Thirdly, a broad search of citizen science initiatives targeted to tackling the COVID-19 pandemic has been performed. A comparative case study approach has been undertaken to examine the attributes of such projects and to unravel their peculiarities.

Citizen science enacts the development of a lively healthcare ecosystem, which takes its nourishment from the voluntary contribution of lay people. Citizen scientists play different roles in accomplishing citizen science initiatives, ranging from data collectors to data analysts. Alongside enabling big data management, citizen science contributes to lay people's education and empowerment, soliciting their active involvement in service co-production and value co-creation.

Citizen science is still underexplored in healthcare. Even though further evidence is needed to emphasize the value of lay people's involvement in scientific research applied to healthcare, citizen science is expected to revolutionize the way innovation is pursued and achieved in the healthcare ecosystem. Engaging lay people in a co-creating partnership with expert scientist can help us to address unprecedented health-related challenges and to shape the future of healthcare. Tailored health policy and management interventions are required to empower lay people and to stimulate their active engagement in value co-creation.

Citizen science relies on the wisdom of the crowd to address major issues faced by healthcare organizations. The article comes up with a state of the art investigation of citizen science in healthcare, shedding light on its attributes and envisioning avenues for further development.

Unicorn companies, such as Facebook, Uber, and Airbnb, significantly impact our economies. This happens although they had a dramatic initial start – at least in terms of financial performance – that would have let any other “conventional” business close. In other words, Unicorns challenge the start-ups’ problems traditionally associated with early failure (liability of newness). This paper aims to understand what helps Unicorn firms initially survive despite huge losses.

By adopting a behavioral lens, this historical case study article focuses on key strategic decisions regarding the famous social media Unicorn Snapchat from 2011 to 2022. The case combines secondary data and a thematic analysis of Snapchat founders’ and investors’ interviews/comments to identify the behavioral antecedents leading to Snapchat’s honeymoon.

Snapchat network effect triggered cognitive biases of Snapchat founders’ and investors’ decisions, leading them to provide initial assets (i.e. beliefs/goodwill, trust, financial resources and psychological commitment) to the nascent Unicorn. Therefore, the network effect and biases resulted in significant antecedents for Snapchat’s honeymoon.

The authors propose a general, theoretical framework advancing the possible impact of biases on Unicorns’ initial survival. The authors argue that some biases of the Unicorns’ founders and investors can positively support a honeymoon period for these new ventures. This is one of the first case studies drawing on a behavioral approach in general and on biases in particular to investigate the liability of newness in the Unicorns’ context.

Work is good for one’s health and well-being. Work for people with disabilities should be encouraged because it is therapeutic and improves participation in the society, leading to better health outcomes. It develops interpersonal relationships and enhances life quality. Work is an aspiration for many people with intellectual disability. Within research literature, there appears to be a lack of research into the experience of occupational therapists in Ireland who refer adults with intellectual disabilities to supported employment services. The purpose of this paper was to explore the experience of Irish occupational therapists who refer adults with intellectual disabilities to supported employment services.

Semi-structured, in-depth interviews were conducted with four occupational therapists recruited through the Association of Occupational Therapists of Ireland (AOTI). Data were analysed using thematic analysis.

Themes that emerged were as follows: occupational therapy participants did not directly refer adults to supported employment but received referrals; occupational therapy roles included assessments, task analysis and development of client’s skills are major components of current practice; pragmatics involved factors that facilitate and challenge; and future roles.

This paper contributes to occupational therapy practice knowledge by providing a perspective on supported employment in Ireland. Occupational therapists should continue to work in the area of supported employment to support social inclusion and enable participation. Further research with occupational therapists working in this field is required to inform practice.

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.

To understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years).

Intensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance.

This study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.