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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.

International business, environmental issues along with economic growth are the three of the most important aspects of development economics. One cannot deny the fact that a nation, in modern globalized world, cannot achieve high growth without getting into trade with rest of the world as well as without hurting the environment. Nations should not forget the fact that we are in the process of achieving Sustainable Development Goals which we have imposed upon ourselves for the sake of a safe world. BRICS nations are five such nations which not only account for more than 30% of the world's output but also have around 41% population. These features coupled with high growth rates of these nations make them the emerging economies with high chances to dominate the world economy in nearing decades. In this study, by the help of simultaneous equation model and panel data analysis, we have seen how far these three important issues are influenced by one another and related variables in these five nations. We have found that both gross domestic product (GDP) and trade-related variables have been influential upon one another. But these variables getting influenced by emission as well as influencing emission are areas of worries. Good economic growth coupled with safe environment in a globalized world is what we desire for which BRICS economies need to implement certain policies that would ensure their dominance in the world economy and save the environment.

This study aims to develop and test a model of the antecedents, mediators and consequences of the glass cliff phenomenon through public sector service organizations in Iran to explore more insights on gender inequality in managerial positions.

The current research was conducted based on a mixed-method approach, using both qualitative and quantitative research designs. First, the qualitative method includes content analysis by conducting semi-structured interviews with 20 university professors and expert managers working in public sector service organizations in Iran. The outcomes of the qualitative phase lead to designing the conceptual framework and research hypothesis. Then, through a quantitative phase, 384 female managers working in public sector service organizations in Iran are selected using stratified random sampling and fill out the research questionnaire. The exploratory factor analysis was used to verify the model. Moreover, structural equation modeling, using AMOS 24, was used to test the research hypothesis.

The findings of the qualitative phase were represented in three categories including antecedents (e.g. the characteristics of women’s leadership, the selection of women based on meritocracy criteria, women’s preferences and organizational factors), mediation effect (e.g. succession planning, personal development planning and support networks) and consequences of the glass cliff phenomenon (e.g. positive and negative consequences). The results of the exploratory factor analysis show there are ten components, explaining 88.5% of variances. Moreover, the test of the structural model supports the direct effect of antecedents on the glass cliff phenomenon. The results also show the effect of the glass cliff phenomenon on consequences through mediation effects.

There are some limitations that can be addressed by other researchers. Accordingly, the limited number of female managers in Iran prevented larger quantitative research. Moreover, the current research only found casual and mediation consequences of the glass cliff phenomenon, and potential moderators were not considered in this study.

The present study’s innovations may include using a mixed-method approach to investigate the antecedents, mediators and consequences of the glass cliff phenomenon in this study and examining the model constructs in some public sector service organizations. This research may provide a deep understanding of the antecedents, mediators and consequences of the glass cliff phenomenon by finding new factors using a mixed-method approach.

This study aims to address customer focus as an important component of total quality management (TQM) and explore the key drivers of member satisfaction in tennis clubs via a novel theory-based member satisfaction index (MSI) model with high explanatory and predictive power. Furthermore, the study aims to investigate the relationship between satisfaction and behavioral intentions (willingness to stay; WTS) with consideration of the mediating effect of identification with the club.

This study uses variance-based partial least squares structural equation modeling (PLS-SEM) to estimate the MSI model, which was tested in a leading tennis club in Germany (n = 185).

The results reveal that club atmosphere, club facilities and the price/quality ratio of the membership fee are the most important drivers of member satisfaction in tennis clubs. Member satisfaction has a large influence on the WTS of tennis club members. Identification with the club, when included as a mediator in the model, increases the variance explained in WTS considerably.

The small sample limits the generalizability of findings, and further research is recommended.

The MSI model is a useful benchmark tool for club managers who want to quantify the satisfaction and WTS of their club members. In addition, because of the integrated formative measurement models, the PLS-SEM results show which indicators can be used to positively impact satisfaction with each of the service quality dimensions, overall member satisfaction and WTS. The most important of these results are discussed in an importance-performance map analysis.

The MSI model is a multi-attribute index model through which members' evaluations of various dimensions of service and value are derived through multivariable linear function with each dimension weighted according to its importance in one holistic model. The model shows the strong impact of satisfaction on WTS of sports club members and reveals that findings of previous research on the relationship between fan and spectator identification and loyalty are transferable to sports club members. The MSI represents a new contribution to the literature; it was applied here to tennis clubs but is also suitable for application to other sports clubs.

This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and longstanding calls to define and disseminate quality implementation good practice.

A virtual nominal group technique engaged experts (n = 14) in idea generation, refinement and consensus building across asynchronous and synchronous stages. The resulting qualitative and quantitative data were analysed using thematic analysis and descriptive statistics, respectively.

The GenAI Academic Integrity Policy Development Blueprint for EMI Tertiary Education is not a definitive mandate but represents a roadmap of inquiry for reflective deliberation as institutions chart their own courses in this complex terrain.

If repeated with varying expert panellists, findings may vary to a certain extent; thus, further research with a wider range of stakeholders may be necessary for additional validation.

While grounded within the theoretical underpinnings of the field, the tool holds practical utility for stakeholders to develop bespoke policies and critically re-examine existing frameworks.

As texts produced by students using English as an additional language are at risk of being wrongly accused of GenAI-assisted plagiarism, owing to the limited efficacy of text classifiers such as Turnitin, the policy recommendations encapsulated in the blueprint aim to reduce potential bias and unfair treatment of students.

The novel blueprint represents a step towards bridging concerning gaps in policy responses worldwide and aims to spark discussion and further much-needed scholarly exploration to this end.

Research regarding life in rural coastal communities in England has been limited, while the experience of families further marginalised by disability has been unresearched. To address this topic, a qualitative study was undertaken to explore the lives of families living with autism in rural coastal England. Twenty-two families from Cornwall and West Norfolk were interviewed in early 2019, including young people on the autism spectrum, their siblings, parents (some of whom were themselves also on the spectrum) and grandparents.

Perceived benefits of living in a rural coastal space were identified. These included the location, the sense of community and the sense of ‘going back in time’ as a positive experience. However, families also spoke of barriers and challenges associated with negative aspects of the location, the experience of stigma and intersectionality in relation to autism and rural coastal spaces. Difficulties concerning education, health and social care support were worsened by poor local infrastructure and the impact of a decade of austerity.

The qualitative methodology involving collaboration with families with autism in developing the research tools, participant recruitment and stakeholder validation is considered.

This research explored the intersecting impacts of rurality, coastality and disability to provide a novel and more nuanced understanding of such families' experiences. As such, it contributes to our understanding of those living ‘on the edge’ – regarding physical location, societal and educational marginalisation.

Prodigious teamwork is the basis for augmenting the level of productivity on construction projects. Globalisation of the construction market has meant that many practitioners work outside of their geographical spectrum; however, the multicultural dissimilarities of construction workforces within the project management team (and how these may impact upon project productivity performance) have been given scant academic attention. To bridge this knowledge gap, this paper aims to analyse the effects of a multicultural workforce on construction productivity.

The epistemological positioning of the research adopted mixed philosophies (consisting of both interpretivism and postpositivism) to undertake a deductive and cross-sectional survey to collate primary quantitative data collected via a closed-ended structured questionnaire. Census sampling and convenience sampling techniques were adopted to target Ghana’s construction workforce and their opinions of the phenomenon under investigation. Out of 96 questionnaires administered, 61 were retrieved. The data obtained were analysed by using mean score ranking, relative important index, one sample t-test and multiple regression. The reliability of the scale was checked by using Cronbach’s alpha coefficient.

From the t-test analysis, 11 variables sourced from extant literature, and the null hypothesis for the study was not rejected and all factors (except high cost of training and improper gender diversity management) were affirmed as negative effects of the multicultural workforce on construction productivity. Using multiple regression analysis, six of the independent variables were shown to impact upon productivity. The goodness of fit was verified by collinearity and residual analysis. The model’s validation revealed a relatively high predictive accuracy (R² = 0. 589), implying that the results could be generalized. In culmination, these findings suggest that the predictors can be used to accurately predict the effects of multicultural workforce on construction productivity performance.

The findings indicate that multicultural workforce/teams have a substantial effect on overall construction productivity in the construction sector; consequently, stakeholders must address this issue to enhance productivity across the sector.

The current study significantly contributes to our understanding of how multicultural workers/teams affect construction productivity in the construction business perspective and how to respond to the negative menace.

The purpose of this paper is to study how CEO power impact corporate tax avoidance. In particular, this paper aims to empirically examine the moderating impact of institutional ownership on the relationship between CEO power and corporate tax avoidance.

The multivariate regression model is used for hypothesis testing using a sample of 308 firm-year observations of Tunisian listed companies during the 2013-2019 period.

The results show that CEO power is negatively associated with corporate tax avoidance and that institutional ownership significantly accentuates the CEO power’s effect on corporate tax avoidance. This implies that CEOs, when monitored by institutional investors, behave less opportunistically resulting in less tax avoidance.

Our findings have significant implications for managers, legislators, tax authorities and shareholders. They showed that CEO duality, tenure and ownership can mitigate the corporate tax avoidance in Tunisian companies. These findings can, hence, guide the development of future regulations and policies. Moreover, our results provide evidence that owning of shares by institutional investors is beneficial for reducing corporate tax avoidance. Thus, policymakers and regulatory bodies should consider adding regulations to the structure of corporate ownership to promote institutional ownership and consequently control corporate tax avoidance in Tunisian companies.

This study differs from prior studies in several ways. First, it addressed the emerging market, namely the Tunisian one. Knowing the notable differences in institutional setting and corporate governance structure between developed and emerging markets, this study will shed additional light in this area. Second, it proposes the establishment of a moderated relationship between CEO power and corporate tax avoidance around institutional ownership. Unlike prior studies that only examined the simple relationship between CEO power and corporate tax avoidance, this study went further to investigate how institutional ownership potentially moderates this relationship.