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This paper aims to introduce International Digital Collaborative Autoethnographical Psychobiography (IDCAP).

This paper describes how IDCAP was developed to answer research questions about what it takes and what it means to recover from mental illness. During its development, IDCAP combined the diverse and intersectional experiences, knowledge and interests of an Anglo-Swedish research team with what could be found in different publications concerning the experiences and the mental illnesses of the musicians Syd Barrett, Peter Green and Brian Wilson.

IDCAP combines features of autoethnography and psychobiography to offer a novel qualitative research method.

Whilst IDCAP was created to focus on recovery from mental illness and musicians, it can be applied to other areas of research. It shares the same limitations as autoethnography and psychobiography, although some of the features of IDCAP may go some way to mitigate against these.

IDCAP is a novel research method that is offered to other researchers to develop and enhance further through application.

IDCAP is a collaborative research method that encourages the involvement of a wide range of researchers from different countries and cultures. It can be used to give voice to marginalised groups and to counter discrimination and prejudice. Recovery from mental illness is a topic of great personal and social value.

IDCAP is a novel research method that, to the best of the authors’ knowledge, has not been explicitly used before.

While there is an increased demand from various corporate stakeholders on the need for public companies to have risk management frameworks as well as a stand-alone risk management committee to mitigate risks and simultaneously improve performance, this study investigates the effects of the risk management committee attributes on firm performance, and the role of board size is highlighted on this relationship in Malaysian listed companies.

Both accounting- and market-based performance measures have been used for measuring performance. A dynamic model using the generalized method of moments (GMM) has been employed to control for potential endogeneity, simultaneity and unobserved heterogeneity.

The findings reveal that risk management committee attributes such as size, independence and meetings negatively affect book-based performance measures and positively affect market-based performance measures. Moreover, board size positively moderates the risk management committee attributes and performance relationship. The study embraces the predictions of agency theory and resource dependence theory.

The findings are practically significant for Bursa Malaysia, Securities Commission Malaysia to assess the compliance of the Corporate Governance Code (MCCG, 2017) and for academia to further explore significant relationships in other emerging economies.

The paper contributes to multiple aspects: first, it studies the impact of risk management committee attributes on firm performance; second, it investigates the moderating effect of board size on RMC–performance relationship; in the end, the study employs dynamic modeling for estimation process to avoid dynamic endogeneity considered a main econometric problem for CG–performance relationships.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

Intensified job demands (IJDs; work intensification, intensified job- and career-related planning and decision-making demands, and intensified learning demands) illustrate the intensification of working life. This study examined relationships between IJDs and work engagement.

Nine diverse samples (n = 7,786) were analyzed separately via regression analysis by estimating linear and curvilinear relationships between IJDs and engagement.

The results showed that certain subdimensions of IJDs, i.e. intensified learning demands, related positively to engagement across several subsamples. Moreover, learning demands showed a curvilinear relationship with engagement in several subsamples; engagement was highest in a moderate level of learning demands whereas low and high levels of learning demands were associated with lower engagement. We also found that other subdimensions of IJDs did not show consistent positive relationships with engagement, and some of them were negatively associated with engagement.

Cross-sectional design.

Organizations should consider what would be the optimal level of learning demands as excessive learning demands can be detrimental to employees’ engagement.

This is a first study focusing on different manifestations of the intensification of working life, operationalized via IJDs, and their curvilinear relationships with engagement by applying a multi-sample design.

Tabletop ‘pen and paper’ role-play games (TTRPGs) can function as spaces of creative experimentation with gender identity through shared storytelling. The last decade has seen an explosion of Actual Play (AP) shows that broadcast recorded gameplay of TTRPGs to online audiences. Neverafter is the 15th season of well-known AP show Dimension 20 and is a horror-themed re-imagining of classic fairy tales through the rules of Dungeons and Dragons. Four of the six player characters are male, based individually on the fairy tales of Pinocchio, Puss in Boots, the Frog Prince, and a (gender-swapped) Mother Goose, adventuring together in a story-world called ‘The Neverafter’. Not only are these versions of the fairy tale characters shaped by the players' own explorations of identity, but as an AP show, this is also layered with the expectations produced by the show's wide fan base. Their diverse gender explorations and their subversion of fairy tale conventions are enabled by the fluency of the players and audience in freely flowing between the framing perspectives of player and character. This chapter will focus on non-binary player Ally Beardsley's creation and performance of Mother Timothy Goose as a gay, elderly, human man as a particularly meaningful case study. This analysis considers how heroic masculinity is reconceptualised in Neverafter through the horror-themed embodiment of fairy tale men in the context of contemporary gender issues.

This study aims to progress scholarly understanding of the staycation phenomenon by examining customer segments and documenting local customers’ attribute preferences.

A stated choice experiment is used to examine customer preferences for staycation package attributes. Latent class discrete choice modeling is deployed to classify customers into market segments based on their preferences. The profile of each segment is enhanced by documenting customer characteristics and consumption styles.

Six prominent market segments are identified using a combination of sociodemographics, consumption styles and staycation attribute preferences. The findings draw on consumer experiences during the COVID-19 pandemic to generate theoretical insights into preferred staycation packages. Empirically, the estimation results from the research framework and choice experimental method demonstrate that staycation market segments exhibit distinct preference structures.

Practitioners and policymakers can incorporate the findings of this study in designing and/or assessing staycation packages. This can ensure differentiated products for defined segments that resonate within local communities through positive word of mouth, thus offering prospective spillovers to visiting friends and relatives.

This is a pioneering study on preference heterogeneity from the customer perspective, with a focus on staycation markets. The findings can encourage and assist hotel sector leaders to capitalize on local market developments to achieve a more resilient hospitality business model.

This study aims to investigate the effect of the COVID-19 pandemic on K-12 education using County level data.

The authors use County-level data and charts to look at enrollment, performance in different grade levels, poverty measures, access to internet, etc., to shed light on educational losses after the pandemic.

In remote education after the pandemic, access to the internet has emerged as the foundational element of educational equity. While declines in academic engagement during remote schooling affected many schools, the potential for learning loss was significantly higher in lower-income communities. A thorough examination of end-of-grade level assessment data revealed a concerning trend of declining Math and Language Arts performance post-pandemic.

One of the major limitations that the authors have faced in this research is that the authors did not have access to the individual/household level data regarding the high-speed internet connection, household income, poverty level and other relevant socio-economic variables. That made it impossible to control for variables of interest, and hence a distinction between correlation and causation was not possible.

Learning loss implications can be potentially long-term and complex. Therefore, targeted and intentional interventions are essential to decrease the disparity gaps, increase resources and raise learning levels to exceed prepandemic outcomes. Such interventions can impact skill development and the potential for future economic success, both individually and collectively.

The findings underscore the urgent need for targeted interventions to address the digital disparities intensifying learning loss in Clayton County, Georgia. Effective strategies must prioritize equitable access to internet resources and technology, particularly for students in high-poverty areas. By bridging these gaps, schools and communities can reduce the potential for long-term consequences of pandemic-induced learning loss and create pathways for a more equitable future in education.

The main idea of this paper is to compare and contrast the learning losses in K-12 education after the COVID-19 pandemic within neighboring counties and see if the digital divide and/or poverty had any impact on the extent of those learning losses.