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Corporate governance has become a core topic in management research and business practice. Recent debates like – environmental responsibility, sustainability, ethics, corporate control, generation, protection and distribution of wealth, the role of the board and senior executives in setting standards for performance management, and stakeholder relationship management – have strong links to organisational trust. However, management literature has been relatively silent on how various corporate governance configurations and perspectives potentially shape trust relations within the organisation, especially in Africa. Thus, this chapter reviews corporate governance through the lens of the institutional logics perspective evident in western capitalism and develops a framework connecting various governance configurations to organisational trust. Doing so provides new directions for those seeking to develop further research in corporate governance, institutional logics and organisational trust.

This paper revolves around the central question: is it possible to do “proper ethnography” without complete participant observation? The authors draw upon a student's experiences of negotiating National Health Service (NHS) ethical approval requirements and access into the student's research field, a British NHS hospital and having to adapt data collection methods for the student's doctoral research. The authors examine some of the positional (insider/outsider, native gone academic), methodological (long-term/interrupted, overt/covert) and contextual challenges that threatened the student's ethnographic study.

The paper draws on reflexive vignettes written during the student's doctorate, capturing significant moments and issues within the student's research.

The authors highlight the temporal, practical, ethical and emotional challenges faced in attempting an ethnography of nursing culture within a highly regulated research environment. Having revealed the student's experience of researching this specific culture and finding ways to overcome these challenges, the authors conclude that the contemporary ethnographer needs to be increasingly flexible, opportunistic and somewhat covert.

The authors argue that it is possible to do “proper” and “good” ethnography without complete participant observation – it is not the method, the observation, that is the essence of ethnography, but whether the researcher achieves real understanding through thick descriptions of the culture that explain “what is really going on here”.

The authors hope to assist doctoral students engage in “good” ethnographic research within (potentially) risk-averse host organisations, such as the NHS, whilst being located in neo-liberal performative academic organisations (Foster, 2017; McCann et al., 2020). The authors wish to contribute to the journal to ensure good ethnography is accessible and achievable to (particularly) doctoral researchers who have to navigate complex challenges exacerbated by pressures in both the host and home cultures. The authors wish to see doctoral researchers survive and thrive in producing good organisational ethnographies to ensure such research is published (Watson 2012), cognisant of the pressures and targets to publish in top-ranked journals (Jones et al. 2020).

Having identified key challenges, the authors demonstrate how these can be addressed to ensure ethnography remains accessible to and achievable for, doctoral researchers, particularly in healthcare organisations. The authors conclude that understanding can be attained in what they propose as a hybrid form of “propportune” ethnography that blends the aim of the essence of “proper” anthropological approaches with the “opportunism” of contemporary data collection solutions.

This paper aims to develop a digital transformation model in hospitals. This study proposes a digital transformation model in hospitals by formulating dimensions and sub-dimensions. The proposed hospital digital transformation model outlines why and how each of dimensions and sub-dimensions are important in the hospital digital transformation model.

This study chose the type of qualitative research using a phenomenology approach. This study used observation techniques and in-depth interviews with 11 informants and conducted group discussion forums with information technology governance experts, a hospital information technology department manager who has an information technology background, and doctor representatives. The data were documented and analyzed using triangulation techniques.

This research provides empirical insights into the dimensions and sub-dimensions of hospital digital transformation models. The findings of the digital transformation dimension in hospitals are 7 dimensions and 37 sub-dimensions, namely, the governance and management dimension which has 8 sub-dimensions; the person has 9 sub-dimensions; strategy dimension which has 5 sub-dimensions; information technology capability has 3 sub-dimensions; the data interoperability dimension has 3 sub-dimensions; the data analytics dimension has 5 sub-dimensions; patient dimensions have 4 sub-dimensions; the findings of the sub-dimensions involved in the digital transformation dimension of the hospital can provide input on the accuracy of the indicators measuring the hospital’s digital transformation.

This research is limited to the qualitative type of phenomenology approach so that future research can test empirically with quantitative methods with techniques through surveys of dimensional and sub-dimensional relationships to hospital digital transformation. The researchers also recommend further assessing the findings of this paper which can develop as a model for measuring the maturity of hospital digital transformation.

This paper covers the implications of developing a hospital digital transformation model that can be used to organize and manage hospital digital transformation.

This paper can be used as a guideline for hospital stakeholders when carrying out digital transformation. This paper can be used as a reference for further research to find, study and develop dimensions and sub-dimensions of digital transformation models.

Soft skills are essential not only for students but also for employees in any workplace. Some factors influence the development of soft skills in high schools. This study investigates the effect of psychological capital (PsyCap) on soft skills through the role of psychological well-being at different students’ grade levels.

Three scales (i.e. the Psychological Capital Questionnaire, the Scale of Psychological Well-being and the soft skills assessment) were used on 707 high school students from seven senior high schools. The data were analysed using a moderated-mediation regression technique to reveal the conditional indirect effect of PsyCap on soft skills.

The results suggested that students' grade levels moderated the indirect effect of PsyCap on soft skills via psychological well-being. Students in higher grades showed a stronger impact of PsyCap on soft skills via psychological well-being.

The psychological states of students should be regarded as one of the most critical aspects of education and career advancement. Schools should assist students in developing their soft skills. Students, regardless of grade level, would begin to occupy their PsyCap, ensure their psychological well-being and finally, engage in soft skills development activities.

This current study has shifted from simply assessing soft skills to investigating some avenues for developing soft skills in various contexts and areas. If the theoretical model is well established, teachers and educators can effectively improve soft skills intervention by understanding the antecedents of soft skills.

The purpose of this paper is to have a deeper understanding of the nonlinear relationship between the impact of climate change on tourism development. Current studies on the effects of climate change on tourism development primarily rely on linear correlation assumptions.

Based on the New Institutional Economics theory, the institutional setting inherently motivates and ensures the growth of the tourism industry. For a precise evaluation of the nonlinear consequences of climate change on tourism, this paper concentrates on Chinese cities between 2011 and 2021, methodically analyzing the influence of climate change on tourism.

The study findings suggest that there is an “inverse U”-shaped nonlinear relationship between climate change and tourism development, initially strengthening and subsequently weakening. Based on these findings, the research further delves into how institutional contexts shape the nonlinear association between climate change and tourism growth. It was found that in a higher institutional backdrop, the “inverse U” curve tends to flatten and surpass the curve adjusted for a lesser institutional context. Upon deeper mechanism analysis, it was observed that cities with more advanced marketization, improved industrial restructuring and enhanced educational growth exhibit a more evident “inverse U”-shaped nonlinear connection between climate change and tourism evolution.

First, previous studies on climate change and tourism development largely rely on questionnaire data (Hu et al., 2022). In contrast to these studies, this paper uses dynamic panel data, which to some extent overcomes the subjectivity and difficulty of causality identification in questionnaire data, making our research conclusions more accurate and reliable. Second, this study breaks through the linear relationship hypothesis of previous literature regarding climate change and tourism development. By evaluating the nonlinear relationship of climate change to tourism development from the institutional pressure perspective, it more intricately delineates their interplay mechanism, expanding and supplementing the research literature on the relationship mechanism between climate change and tourism development. Thirdly, the conclusions of this study are beneficial for policymakers to better understand and assess the scope of climate change impacts. It also aids relevant departments in clarifying the direction of institutional environment optimization to elevate the level of tourism development when faced with adverse impacts brought about by climate change.

This chapter explores the approaches to digital representation of Australian Aboriginal art and visitor engagement in museum exhibition spaces from a digital design perspective. It discusses recent developments in the fields of digital representation of Aboriginal art, immersive exhibition design and visitor engagement. Through a case study of an immersive exhibition on Australian Aboriginal art in the National Museum of Australia, Canberra, this chapter identifies how Aboriginal art can be digitally represented by appropriate immersive technologies ranging from augmented realities [ARs] and virtual realities [VRs] to mixed reality [MRs] and extended reality [XRs] for enhancing visitors’ immersive digital experience. According to the analysis, the digital representation of Aboriginal artworks needs to be conducted practically, cognitively and ontologically based on understanding Australian Aboriginal history and culture. Visitors can engage with Aboriginal art stories meaningfully through immersive exhibitions through this holistic approach.

This study analyses to what extent politicians use public sector entities' financial statements along with the politicians' perceptions of the usefulness of such statements in the politicians' decision-making. The authors analyze financial statements' use and usefulness when the statements are prepared on a modified accrual basis and in the setting where there is the intention of full accrual accounting adoption. In addition, this study provides information about the use of the individual components of financial statements and investigates the reasons why the statements may not be used.

This study was conducted using a questionnaire. The authors surveyed politicians that are members of Croatian public sector bodies. To conduct this research, the politicians were contacted by telephone over the period from February to April 2022.

The findings of this study are of potential interest to researchers, regulators and policy makers. The findings show that most politicians use financial statements, but the politicians' perception of the statements' usefulness when the statements are prepared on a modified accrual accounting basis is greater than the politicians' actual use of the statements. The findings also show that in the process of making decisions, politicians use the selected financial statements that contain information of interest to the politicians; that the politicians tend to gravitate to the use of reports on revenue, expenses, receipts and expenditure prepared on modified accrual bases which are closer to budgetary reporting; that the politicians use the information that supports the politicians' sphere of responsibility as enforced by legislation.

This study provides insights into the use and usefulness of financial statements in public sector setting where modified accrual accounting is used to prepare the statements and reports. This study provides additional evidence on the significance of legal setting to the financial reporting in public sector.

The study examines the impact of behavioral biases, such as herd behavior, overconfidence and reactions to ESG News, on Socially Responsible Investing (SRI) decisions in the Indian context. Additionally, it explores gender differences in SRI decisions, thereby deepening the understanding of the factors shaping SRI choices and their implications for sustainable finance and gender-inclusive investment strategies.

The study employs Bayesian linear regression to analyze the impact of behavioral biases on SRI decisions among Indian investors since it accommodates uncertainties and integrates prior knowledge into the analysis. Posterior distributions are determined using the Markov chain Monte Carlo technique, ensuring robust and reliable results.

The presence of behavioral biases presents challenges and opportunities in the financial sector, hindering investors’ SRI engagement but offering valuable opportunities for targeted interventions. Peer advice and hot stocks strongly predict SRI engagement, indicating external influences. Investors reacting to extreme ESG events increasingly integrate sustainability into investment decisions. Gender differences reveal a greater inclination of women towards SRI in India.

The sample size was relatively small and restricted to a specific geographic region, which may limit the generalizability of the findings to other areas. While efforts were made to select a diverse sample, the results may represent something different than the broader population. The research focused solely on individual investors and did not consider the perspectives of institutional investors or other stakeholders in the SRI industry.

The study's practical implications are twofold. First, knowing how behavioral biases, such as herd behavior, overconfidence, and reactions to ESG news, affect SRI decisions can help investors and managers make better and more sustainable investment decisions. To reduce biases and encourage responsible investing, strategies might be created. In addition, the discovery of gender differences in SRI decisions, with women showing a stronger propensity, emphasizes the need for targeted marketing and communication strategies to promote more engagement in sustainable finance. These implications provide valuable insights for investors, managers, and policymakers seeking to advance sustainable investment practices.

The study has important social implications. It offers insights into the factors influencing individuals' SRI decisions, contributing to greater awareness and responsible investment practices. The gender disparities found in the study serve as a reminder of the importance of inclusivity in sustainable finance to promote balanced and equitable participation. Addressing these disparities can empower individuals of both genders to contribute to positive social and environmental change. Overall, the study encourages responsible investing and has a beneficial social impact by working towards a more sustainable and socially conscious financial system.

This study addresses a significant research gap by employing Bayesian linear regression method to examine the impact of behavioral biases on SRI decisions thereby offering more meaningful results compared to conventional frequentist estimation. Furthermore, the integration of behavioral finance with sustainable finance offers novel perspectives, contributing to the understanding of investors, investment managers, and policymakers, therefore, catalyzing responsible capital allocation. The study's exploration of gender dynamics adds a new dimension to the existing research on SRI and behavioral finance.