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This study aims to explore the intersection of AI-generated learning materials and active learning strategies in higher education artificial intelligence (AI) is bringing about changes and opening up new possibilities for an improved and more efficient higher education. However, the argument is that its use in education/classroom should be informed by verifiable evidence as well as best practice, which this scholarly work helps build evidence-based research to assess this technology in higher education.

Primary data was collected through structured questionnaire administered online via Google form. Based on the non-probability sampling technique, 300 higher education tutors and students across the UK were purposively targeted, out of which 218 (72.7%) response rate was achieved. Data was analyzed using descriptive statistics with the aid of Statistical Package for Social Sciences, whereby regression, correlation and Chi-square tests were conducted to determine the statistical significance, direction and strength of the relationship between the measured variables.

This study revealed that AI-generated learning materials support active learning strategies that enable students to actively engage in their learning, likewise enabling students to develop deeper understanding of their course content with significantly better knowledge retention, which is critical to the learning process. However, findings further revealed that acceptance/regular use of AI-generated learning materials is still below par across the higher education institutions, and there is major concern that the benefits may not be fully realized due to barriers to adoption.

There are limitations that future studies can improve on, especially in terms of methodology. Pragmatism is a philosophical research stance that integrates quantitative data collection with qualitative data (such as interviews) and will ask in-depth questions to gain holistic quality data for such empirical. Future studies can also improve on the research scope to allow for generalizability of findings and check for potential biases in the data collection, analysis and interpretation processes.

Despite the huge anticipation regarding how AI technology could transform teachers’ roles in higher education, concrete research into AI-generated learning materials and actual impact in facilitating active learning strategies and knowledge retention is currently lacking. This study presents theoretical models on AI acceptance in higher education and explored the Technology, Pedagogical and Content Knowledge framework to inform empirical information on how AI can support active learning strategies and students’ knowledge retention.

The purpose of this paper is to share two Indigenous perspectives on diversity, equity and inclusion (DEI). It is grounded in aspirations for de-othering and de-colonisation. De-othering is the unpicking of the status of “other” bestowed upon us by the dominant culture, and de-colonisation involves the deconstruction of the ways the settler states in which we live have defined and oppressed us.

The methodology is a critical self-reflection, drawing on the lived experience of two Indigenous scholars in business fields outside of the international business discipline.

The findings explore policies, like affirmative action emerging in the 1960s, to the pantheon of DEI theory and strategies developed, as tools of the dominant culture, albeit well-meaning, that perpetuate the dependency of the “other” on the largesse of the “dominant”, which ultimately maintain relations of oppression.

The limitations of the paper include, that we cannot speak for all Indigenous peoples. This paper is a personal viewpoint and is not a meta-analysis of theory and literature. The authors draw on the personal, which for Indigenous peoples is also the political, perspectives, that are steeped in their cultural histories and identities, and underpinned by their aspirations for social change and social justice for their peoples.

The authors offer practical implications for those Indigenous Peoples and allies looking to develop empowering strategies for de-othering individuals and communities defined by dominant cultures as “others”, which in turn has social implications for engagement in truly empowering work in social justice at the borderlands of power, particularly in terms of international business guided by ethics and social responsibility.

In this paper, the authors use the following terms: Maori, Aboriginal and Torres Strait Islander, First Peoples and Indigenous Peoples. They use the term Peoples to denote that they are not one homogenous People but a collective society that consists of many distinct communities, peoples and nations.

The authors offer practical implications for those Indigenous Peoples and allies looking to develop empowering strategies for de-othering those defined by dominant cultures as “others”, which in turn has social implications for those engaged in truly empowering work for social justice at the borderlands of power, particularly in terms of international business guided by ethics and social responsibility. They make no apologies for this paper, as it is entirely based on personal viewpoints.

The objective of this research is to methodically categorize the various types of Open Government Data (OGD) stakeholders, and to elucidate the intricate network relationships among OGD stakeholders, along with the underlying mechanisms that shape their formation.

To comprehend the collaboration mechanism of stakeholders in the OGD ecosystem, the authors constructed an OGD multi-stakeholder relationship network by using data from the Shandong Province Data Application Innovation and Entrepreneurship Competition. Based on the structural social capital theory and exponential random graph model (ERGM), an analytical framework was established to explore the formation mechanism of the collaborative network of OGD multi-stakeholder.

The results indicate that multi-stakeholder collaboration among government, enterprises and the public is crucial for achieving OGD goals. Organizing OGD competitions serves as an effective mechanism for solidifying and maintaining relationships among OGD stakeholder groups. Degree centrality and structural parameters reveal a Matthew effect within the connection process of the OGD ecosystem's collaborative network. Additionally, there is evidence of agglomeration and transferability within the network's structure.

This study contributes to the understanding regarding the formation mechanism of OGD stakeholders. The findings have implications for developing multi-stakeholder relationship networks of OGD and driving OGD initiatives.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2023-0284

Purpose: This chapter aims to review and brief the role of Strategic Corporate Social Responsibility (SCSR) in the tourism industry, targeting its impact on the performance and sustainability of the tourism industry. This chapter seeks to provide insights into how SCSR can lead to a positive transformation and competitive advantage.

Methodology: The chapter incorporates a brief literature review to examine current trends, hurdles, and benchmarking in the implementation of SCSR in the tourism industry. Comparative analysis and recent literature are used to extract valuable results and implications for effective tourism management.

Research limitations: The current chapter has limited potential biases in the selection of literature and the evolving nature of CSR in the tourism sector. Future research is required to check the developments in tourism and CSR.

Results: This chapter shed light on the complex association between the performance of CSR and business in the tourism industry, highlighting the importance of governance qualities and new initiatives for achieving financial sustainability.

Originality/value: This chapter adds valuable insights to the existing literature by shedding light on the most recent literature on SCSR in the tourism industry and provides inputs for setups looking for sustainability.

Drawing on signalling and impression management theories, this study aims to examine a bidirectional association between managerial tone in earnings conference calls and financial performance.

The sample includes non-financial firms listed in the FTSE 350 index during the period 2010–2015. Managerial tone was measured using positive and negative keywords based on the Loughran-McDonald Sentiment Word Lists, while return on assets was used as a proxy for firms’ financial performance.

The findings indicate that current financial performance positively affects the managerial tone in earnings conference calls. Likewise, the results also show that there is a positive relationship between managerial tone in earnings conference calls and firms’ future financial performance.

The results have important implications for top management to use more virtual communication media (i.e. earnings conference calls) to continue managing their relationships with financial stakeholders and helping them better understand financial performance, especially in countries where holding such calls is not yet part of firms’ policy.

To the best of the authors’ knowledge, this is one of the first studies that explore the relationship between managerial tone in earnings conference calls and financial performance. Overall, this study contributes to managerial tone literature and holds significant theoretical and practical implications.

As it is known, the accounting information system (AIS) plays a significant role in the business ecosystem by recording and processing financial and accounting data and reporting the produced information to all relevant parties for decision-making. However, its used methods and systems, including double-entry bookkeeping and enterprise resource planning (ERP) systems, have limitations, especially in terms of trust and reliability concerns for stakeholders and the possible scope for records manipulation and fraud. The application of blockchain technology is believed to enhance the reliability of the AIS and addresses many of its current limitations. Blockchain can offer numerous benefits if used to manage AIS functions through enhanced trust, reliability, and transparency, increased efficiency, reduced costs and fraud, improved accounting information quality and real-time accounting. Nevertheless, the adoption and implementation of blockchain in the AIS are associated with several technical and nontechnical challenges which are not easy to address and could limit the wide technology adoption in the immediate future. Considering that a full understanding of the benefits and challenges of adopting blockchain in the AIS still needs more clarification, this chapter examines blockchain technology and its implications for the AIS. It reviews blockchain characteristics and its benefits to the AIS, discusses its possible integration into the AIS, outlines adoption and implementation challenges, and suggests critical avenues for future research.

Despite the important role that suppliers have in enhancing the environmental performance of a buyer firm, previous research has not investigated the individual-level motivations of supplier employees (representatives) in supplier-to-supplier environmental knowledge sharing. Thus, we use insights from the coopetition literature to examine how buyer firms can encourage supplier-to-supplier environmental knowledge sharing with the aim of improving the buyer’s environmental performance.

We empirically test our model using an online vignette-based experiment administered to supply chain managers. We contextualized our results using insights from interviews with senior managers representing firms operating in a broad array of industries.

We find that a supplier representative’s personal environmental values influence their commitment to an environmental consortium with a rival firm, and they are subsequently willing to share proprietary environmental knowledge. In turn, these relationships are moderated by situational factors including competitive intensity and buyer power.

The study of coopetition is an emerging stream of research in operations management. Our findings improve the understanding on how a focal actor within a buyer–supplier coopetitive network can promote environmental knowledge sharing behavior.

This study explores social entrepreneurship as a viable career path for employees facing hostile workplace conditions in Peru. It examines the gender-specific effects of workplace challenges such as hostility, discrimination and sexual harassment on individuals’ aspirations for career transitions and entrepreneurship.

A cross-sectional survey was conducted with 450 Peruvian workers experiencing adverse workplace conditions. Quantitative data analysis was used to evaluate the relationship between perceived workplace challenges, intentions to leave current jobs and the propensity to pursue social entrepreneurship. Gender differences were analyzed to uncover unique patterns in these relationships.

Results reveal significant gender differences: females report higher levels of discrimination, while males report higher perceptions of workplace harassment. Females intending to leave their jobs demonstrated a stronger inclination toward social entrepreneurship compared to their male counterparts. These findings underline the detrimental impact of hostile work environments on employee aspirations and highlight social entrepreneurship as a meaningful career option for individuals seeking to address societal issues.

This research offers valuable insights for organizations and policymakers, emphasizing the importance of creating equitable work environments. It also underscores the potential of social entrepreneurship to empower individuals disillusioned by conventional workplace structures to drive positive social change.

By elucidating the role of social entrepreneurship as an alternative career path, our study contributes to the growing body of literature on entrepreneurship and social impact, offering valuable insights for both researchers and practitioners aiming to foster more equitable and empowering work environments.

Little is established about the mechanism through which employee voice is connected to employee mental health. Drawing from social exchange theory, this study examines how employee engagement practices are associated with employee voice, which further influences employee mental health. In addition, the study includes parallel mediation and examines whether perceived interpersonal justice (PIJ) and empathetic leadership (EL) mediate the relationship between employee engagement practices and employee voice.

Three time-lagged surveys of 457 employees in the Indian information technology (IT) sector were accomplished.

As hypothesised, employee engagement practices have a positive influence on employee voice. Secondly, employee voice has a positive influence on the employee’s mental health. PIJ and EL were also found to be significant parallel mediators for the relationship among employee engagement practices and employee voice.

This study displays the positive influence of employee engagement practices on employee voice. Further, the employee’s voice influences the employee’s mental health. Therefore, it suggests means for improving its pervasiveness in an organisation.

This research paper is an important contribution as it is one of the few studies examining the role of PIJ and EL as parallel mediators of employee engagement practices and employee voice. It also answers repeated calls for more research on employee mental health in the IT sector.