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Although allies have been shown to be effective at helping to ignite positive change for marginalized groups, the literature on ally identity development is fragmented.

We draw from developmental, contextual, and identity theories to review the existing literature and focus squarely on the ally experience, resulting in a synthesized process-based conceptualization of ally identity development.

At each stage, we discuss intrapersonal experiences individuals are likely to have internally, interpersonal experiences that are likely to occur with others, and catalysts for progression to subsequent stages. In doing so, we outline the multilevel factors that influence and are influenced by ally development in hopes of identifying what motivates or dissuades individuals from becoming more active allies.

We provide practitioners and scholars with a deeper understanding of the organizational and societal benefits associated with allyship behaviors, as well as tools for increasing their presence within organizations.

This chapter analyses the other aspect of an oppressor/oppressed relationship by looking at what happens to the oppressed, in this case, the academics and staff not in leadership roles. This chapter looks at why the tactics leaders employ work, and why people do not retaliate, and what systems have been put in place to prevent the people from having any consequential power. This chapter thus looks at how the power of the majority in the academy has been slowly eroded by managerial promises of empowerment, self-governance or having an opinion on the institution's direction when in reality, they have no opinion, and the only decisions they can make are inconsequential. This is why time and time again, we see universities restructure, remove non-profitable courses and increase targets to unrealistic levels to maintain power over the majority.

The advent of artificial intelligence (AI) in the accounting landscape marks a significant shift, promising gains in efficiency and accuracy but also eliciting concerns about job displacement (JD) and broader socio-economic implications. This study aims to provide an in-depth understanding of how AI’s integration in accounting contributes to JD, reshapes decision-making processes and reverberates across economic and social dimensions. It also offers evidence-based policy recommendations to mitigate adverse outcomes.

Leveraging a cross-sectional survey disseminated through Facebook, this research used snowball sampling to target a diverse cohort of accounting professionals. The collected data were subjected to meticulous analysis through descriptive and regression models, facilitated by SmartPLS 4 software.

The analysis revealed a significant correlation between AI’s increasing role in accounting and a heightened rate of JD. This study found that this displacement is not isolated; it has tangible repercussions on decision-making paradigms, economic well-being, professional work dynamics and social structures. These insights corroborate existing frameworks, including, but not limited to, theories of technological unemployment and behavioural adjustments.

Although providing valuable insights, this study acknowledges limitations such as the restricted sample size, the cross-sectional nature of the survey and the inherent biases of self-reported data. Future research could aim to extend these initial findings by adopting a longitudinal approach and potentially integrating external data sources.

As AI technology becomes increasingly ingrained in accounting practices, there is an urgent need for coordinated action among stakeholders. Policy recommendations include focused efforts on talent retention, investment in upskilling programs and the establishment of support mechanisms for those adversely affected by AI adoption.

By synthesising a range of theoretical perspectives, this study offers a comprehensive exploration of AI’s multi-dimensional impacts on the accounting profession. It stands out for its nuanced examination of JD and its economic and social implications, thereby contributing to both academic discourse and policy formulation. This work serves as an urgent call to action, highlighting the need for strategies that both exploit AI’s potential benefits and protect the workforce from its disruptive impact.

Engaging with heritage to support mental health and wellbeing has become a focus of research and policy, more recently moving towards social prescription of heritage interventions. While there are benefits to active participation, there are potential risks to those taking part and to the non-renewable historic remains and landscape that form the core of these projects. The purpose of the current research paper was to develop best practice guidelines for organisations offering heritage projects as interventions for people who live with mental health issues to protect both participants and heritage.

There were two research phases; a Sandpit with World Café discussions to produce a set of research priorities, and a Delphi Consultation, using three questionnaires distributed over six months, to develop best practice guidelines. The panel in both phases comprised experts through lived experience, policy, practice and research.

The Authentic and Meaningful Participation in Heritage or Related Activities (AMPHORA) guidelines cover three stages: project development, project delivery and project follow-up, with a set of action points for each stage. Of particular importance was authentic participation and expertise to ensure appropriate management of heritage/ historic environment assets and support for participants.

The AMPHORA guidelines can assist all organisations in the delivery of safe projects that support the mental health of those involved, as well as enhancing and protecting the historic environment.

To the best of the authors’ knowledge, these are the first research-led guidelines that help heritage organisations support those living with mental health issues.

Luxury as a construct warrants an assessment of entities promoting themselves as luxurious offerings. Therefore, this study attempts to evaluate the experiencescapes of luxury trains operating in developed and developing countries to assess the presence of luxury values in the elements affecting tourists' experiences and immersion.

Two different types of luxury trains were selected from across developed and developing countries for a holistic assessment of the experiencescapes. Through netnography and hermeneutic interpretation, this study analyzes 218 experiential descriptions on Tripadvisor from luxury trains of Australia, UK, Peru and India.

Although luxury trains in both the regions entailed financial, functional, social and individual value, they struggled to offer these values in conjunction. While the positioning of luxury trains in developing countries under the “inaccessible luxury” segment is exaggerated, developed countries were also found to struggle with customer service and management.

By emphasizing on areas within the control of the service providers, short-haul luxury trains can be a better fit in developing countries. Better usability testing and employee training should be undertaken to improve the functional values of luxury in long-haul luxury trains of developed countries.

This article not only assesses the validity of luxury trains' positioning but also provides new insights into the nature of the tourist immersion process. Having extensively discussed experiences in the backdrop of luxury, it contributes to the progression of literature on luxury trains, experiencescapes and immersion.

Unprecedented progressions in the sector of Information and Communication Technologies (ICTs) have led to the trendsetting of Education 4.0 paradigms. A byproduct of breakthroughs in Education 4.0 is the “Cybergogy” paradigm that particularly stimulates learning and builds competencies in a virtual environment for the new era. Toward that, the objective of this review paper is to explore how cyber-physical learning is being adopted within cybergogy paradigms with its current state-of-the-art, traits, design models, applications and difficulties in Higher Education Institutions (HEIs) around the globe.

A narrative review of literature has been conducted in which major electronic bibliographic databases are targeted for study selection. Seven themes have emerged from the literature search that descript the resourcefulness, inventiveness and challenges of cyber-technology in transferring learning and interaction in and outside HEI boundary walls.

Grounded on the findings, it is valuable to mention that cybergogy media facilitates an array of options for collaboration, information gathering, intellectual discussions, the convenience of access, etc. among higher education learners. Consisting of interconnected technology, distinctive intricate digital systems and physical elements working together, the trend has implementation efforts of a smart learning institution for providing engaged learning and advanced skills training. However, there are certain implementation risks and consequences that must be considered thoughtfully.

This review can be used as an effective guide in designing cyber-technology-mediated teaching instruction and strategies for supporting collaborations and inventive learning in higher academia. Future researchers interested in exploring cyber-physical blends and media usage in education will also be facilitated with this review.

This literature review is unique because it details significant practices of collaborative learning for the twenty-first century through cybergogy in Higher Education 4.0 that was not examined previously.

This study aims to analyze the impact of digital transformation on firm performance within the banking sector, specifically focusing on the Amman Stock Exchange (ASE)-listed banks from 2015 to 2022. Additionally, it explores the influence of gender dynamics on the implementation and outcomes of these digital transformation initiatives.

The study adopts a robust empirical approach, using manual content analysis of annual reports from ASE-listed banks. The Digital Transformation Disclosure Index (DTDI) is used to assess the extent and nature of digital transformation initiatives within these banks. The methodology is designed to provide a comprehensive evaluation of the correlation between digital transformation efforts, firm performance and gender dynamics.

The research reveals that digital transformation initiatives have a significant positive impact on the performance of ASE-listed banks. It also uncovers nuanced insights into the role of gender dynamics, indicating that gender diversity within firms influences the adoption and success of digital transformation strategies in complex ways.

The findings of this study contribute to the understanding of digital transformation in the banking sector, offering empirical evidence on its benefits for firm performance. Additionally, the study illuminates the intricate role of gender dynamics in digital transformation, providing a new perspective on organizational diversity within the context of technological change.

This research pioneers in academically linking digital transformation and gender dynamics within the banking sector, addressing a notable gap and introducing a fresh academic perspective. Practically, it equips banking executives and policymakers with actionable insights for gender-inclusive digital strategies, crucial for enhanced firm performance. Methodologically, the study sets a benchmark in research innovation, using the DTDI to offer a replicable model for future investigations in this evolving field.

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.

As young individuals transition from educational settings to embark on their career paths, their expectations for their future careers become of paramount importance. Ng et al. (2010) examined the expectations of young people in post-secondary education in 2007; those colloquially referred to as “Millennials” or “GenY”. The present study replicates Ng et al.'s (2010) study among a sample of post-secondary students in 2019 (referred to as Generation Z or GenZ) and compares the expectations of young adults in GenY and GenZ.

This study employs a time-lag comparison of GenY and GenZ young career entrants based on data collected in 2007 (n = 23,413) and 2019 (n = 16,146).

Today's youth seem to have realistic expectations for their first jobs and the analyses suggest that young people continue to seek positive, healthy work environments which make room for work–life balance. Further, young people today are prioritizing job security and are not necessarily mobile due to preference, restlessness or disloyalty, but rather leave employers that are not meeting their current needs or expectations.

Understanding the career expectations of young people allows educators, employers and policymakers to provide vocational guidance that aligns those expectations with the realities of the labor market and the contemporary career context.

While GenY was characterized as optimistic with great expectations, GenZ can be described as cautious and pragmatic. The results suggest a shift away from opportunity, towards security, stability, an employer that reflects one's values and a job that is satisfying in the present.

Through this study, the aim is to provide reference for the improvement of CEO related theories, the reform of internal governance mechanisms and compensation systems in enterprises, and ultimately contribute to economic and social development and the achievement of dual carbon goals.

In the context of accelerating the implementation of the “dual carbon” goal and promoting sustainable economic and social development, this paper builds a panel data model based on the panel data of 31 provinces in China from 2011 to 2019 to empirically test the impact of CEO stability on green innovation and total factor productivity of enterprises.

The results show that CEO stability has a positive role in promoting enterprise total factor productivity and green innovation and enterprise green innovation also has a positive role in promoting total factor productivity; Heterogeneity testing found that CEO stability has no significant impact on green innovation in state-owned enterprises. Corporate green innovation has a partial mesomeric effect between CEO stability and total factor productivity; The proportion of independent directors has a negative moderating effect on CEO stability and corporate green innovation, while equity incentive has a positive moderating effect on the relationship between CEO stability, corporate total factor productivity and green innovation.

First, it develops the research on CEO stability and its economic consequences. Second, it expands the impact of CEO stability on heterogeneous enterprises. Third, provides new ideas for the reform of internal governance mechanism and salary system of enterprises.