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The purpose of this paper is to review and compare the implementation of “arts inclusion” policies (AIPs) by 14 different public administrative systems around the world. It aims to provide a consolidated source which informs further studies in this field, and to develop a framework to compare AIPs at a global level.

Using “arts inclusion policy” as the search term, academic journals from a wide spectrum of fields were reviewed. A data set was extracted from the Compendium of Cultural Policies and Trends’ online database which provided real-time information of national cultural policies. Another data set is from the United Nations’ Inequality-adjusted Human Development Index, as the geographic scope of the review – largely focussing on UK, US, Australian, Scandinavian and Asian contexts. Using existing policy-making literature as benchmark, the authors designed and applied a comparative framework dedicated to AIPs which focussed on “policy-making structures” as the main ground of comparison.

An important finding is that the policy development and implementation of AIPs often underscore inter-sectoral involvement in many public administrations in this study. With policy leadership and financial incentives pivotal to effective AIPs, central governments should take a more concerted leadership role to include AIPs in national inter-sectoral policies, encourage evidence-based research, expand funding and advocate the recognition of the impacts of arts inclusion. It is concluded that AIPs in western countries remain more developed in targeted scopes and programme diversity compared to those of Asian countries and regions. Continued studies in this field are encouraged.

This review is the first of its kind to include a number of Asian and western countries within its research scope, allowing it to offer a more holistic outlook on the development and implementation of AIPs in different countries and regions. A common critique with all relevant existing literature was usually their lack of concrete comparative grounds, and the present study’s all-encompassing review of literature from across different levels and sectors of respective public administrative systems contribute to a unique and comprehensive perspective in the arts and health discourse.

Successful knowledge transfer (KT) between younger and older workers (YW and OW, respectively) is critical for organizational success, especially in light of the recent surge in employment volatility among the youngest and oldest segments of the workforce. Yet, practitioners and scholars alike continue to struggle with knowing how best to facilitate these exchanges. The qualitative study offers insight into this phenomenon by exploring how KT unfolds in YW/OW dyads.

The authors performed a reflexive thematic analysis of semistructured interviews with two samples of blue- and white-collar younger/older workers from the USA (N = 40), whereby the authors interpreted the “lived experiences” of these workers when engaged in interdependent tasks.

The analysis, informed by social exchange theory and exchange theories of aging, led to the development of the knowledge transfer process model in younger/older worker dyads (KT-YOD). The model illustrates that, through different combinations of competence and humility, KT success is experienced either directly (by workers weighing the perceived benefits versus costs of KT) and/or indirectly (through different bases of trust/distrust perceived within their dyads). Further, humility in dyads appears to be necessary for KT success, while competence was insufficient for realizing KT success, independently.

In exposing new inner workings of the KT process in YW/OW dyads, the study introduces the importance of humility and brings scholars and organizations a step closer toward realizing the benefits of age diversity in their workplaces.

The purpose of this study is to explore whether immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles that hinder effective communication and collaboration. Immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles hindering effective communication and collaboration. VR technologies boost discussion participants' sense of presence and immersion; however, studying emerging VR technologies for their applicability to e-participation is challenging because of the lack of affordable and accessible infrastructures. In this paper, the authors present a novel framework for analyzing serious social VR engagements in the context of e-participation.

The authors propose a novel approach for artificial intelligence (AI)-supported, data-driven analysis of group engagements in immersive VR environments as an enabler for next-gen e-participation research. The authors propose a machine-learning-based VR interactions log analytics infrastructure to identify behavioral patterns. This paper includes features engineering to classify VR collaboration scenarios in four simulated e-participation engagements and a quantitative evaluation of the proposed approach performance.

The authors link theoretical dimensions of e-participation online interactions with specific user-behavioral patterns in VR engagements. The AI-powered immersive VR analytics infrastructure demonstrated good performance in automatically classifying behavioral scenarios in simulated e-participation engagements and the authors showed novel insights into the importance of specific features to perform this classification. The authors argue that our framework can be extended with more features and can cover additional patterns to enable future e-participation immersive VR research.

This research emphasizes technical means of supporting future e-participation research with a focus on immersive VR technologies as an enabler. This is the very first use-case for using this AI and data-driven infrastructure for real-time analytics in e-participation, and the authors plan to conduct more comprehensive studies using the same infrastructure.

The authors’ platform is ready to be used by researchers around the world. The authors have already received interest from researchers in the USA (Harvard University) and Israel and run collaborative online sessions.

The authors enable easy cloud access and simultaneous research session hosting 24/7 anywhere in the world at a very limited cost to e-participation researchers.

To the best of the authors’ knowledge, this is the very first attempt at building a dedicated AI-driven VR analytics infrastructure to study online e-participation engagements.

Drawing on the theory of memory-dominant logic, this study aims to examine how the substantive staging of the servicescape, experience co-creation, experiential satisfaction and experience intensification affect experience memorability and hedonic well-being in the case of unmanned smart hotels.

An online survey was used, with the target respondents being hotel guests people aged 18 years and older who had been recent guests of the FlyZoo Hotel in Hangzhou, China. Data were collected online from 429 guests who had stayed in the hotel between April and June 2023. Data analysis was undertaken using structural equation modelling.

The results suggest that all the proposed four constructs are positive drivers of a memorable unmanned smart hotel experience. The relationship between the memorability of the hotel experience and hedonic well-being was found to be significant and positive.

Unmanned smart hotels should ensure that all smart technologies function effectively and dependably and offer highly personalised services to guests, allowing them to co-create their experiences. This will lead to the guest receiving a satisfying and memorable experience. To enable experience co-creation using smart technologies, unmanned smart hotels could provide short instructional videos for guests, as well as work closely with manufacturers and suppliers to ensure that smart technology systems are regularly updated.

This study investigates the antecedents and outcomes of a novel phenomenon and extends the concept of memorable tourism experiences to the context of unmanned smart hotels.

This paper offers a theoretical explanation to a positive story of a micro enterprise found in Uganda, an African developing country that has successfully managed workplace relationships, its survival and good performance. Specifically, the paper examines multiple theories to explain the practice in this enterprise.

The study uses storytelling, a form of narrative inquiry embedded in qualitative methodology. Based on in-depth interviews with the owner-manager and employees, a story was developed detailing their practical experience while focusing on the context, actions, results and lessons.

Findings reveal that micro enterprises that allow free generation of ideas across all levels with optimistic people who reciprocate and work together create a friendly work atmosphere with support for one another, with the ability to amicably resolve conflicts and build trust. More so, theories including social exchange theory, relational cohesion theory, complex adaptive systems theory and cultural historical activity theory help explain the manifestations of relational people management in micro enterprises.

This paper is unique in its use of a positive story showing a practical experience of how workplace relationships are managed in a micro enterprise found in Uganda. In addition, a multi-theoretical perspective is used to explain the manifestations in the story which may be novel in the study context. Thus, a conceptual model is proposed depicting generalized reciprocity, positive emotions, generative leadership and relational agency as antecedents of relational people management with relational agency again mediating the other relationships.

COVID-19 has changed the way we teach and learn, including service-learning (S-L). This study examines the impacts of the work-from-home (WFH) mode on the work performance and learning outcomes of student interns on an eight-week S-L internship programme, and the key factors in terms of its success.

A qualitative research methodology is adopted by interviewing nine student interns and four supervisors from three community partner organisations (CPOs) to understand their experiences of how the WFH mode has impacted intern work performance and learning outcomes. Thematic analysis is used for the data analysis.

The interns uncover a number of negative WFH impacts on the S-L internship, including ineffective communication and management practice, low work efficiency and quality, a lack of task variety and learning opportunities and distractions in the home environment. Furthermore, five critical factors for WFH success are also identified, including prior preparation, effective communication systems, personal motivators at work, the nature of the job in relation to it being suited to the WFH mode, and organisational support.

The study examines impacts on student work performance and learning outcomes in an S-L summer internship programme operating under the WFH mode as a result of the COVID-19 pandemic. Key success factors and practical recommendations have been developed for enhancing the future success of S-L internships operating under the WFH mode.