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The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas.

Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare.

The subject experts first share an overview of the use of GAI, followed by the relevant opportunities and challenges in implementing GAI in each identified area. Afterwards, based on the opportunities and challenges, the subject experts propose several research agendas for the stakeholders to consider.

This paper serves as a frontier in exploring the opportunities and challenges implicated by the GAI in six identified areas that this emerging technology would considerably influence. It is believed that the viewpoints offered by the subject experts would enlighten the stakeholders in the identified areas.

Using descriptions from participants of ten Australian Football League (AFL) Club boards, the authors offer a rare, in-depth account of board member perceptions of interpersonal relationships between board members and the relational conflict evident. These findings suggest that interpersonal behaviours related to egos, social awareness, transparency and trust, ultimately leads to dysfunctional conflict.

This paper examined the leadership influence on board dysfunctional conflict using the concept of authentic leadership (AL). The authors dismantled board member interpersonal dynamics to explore whether AL may alleviate the issues associated with dysfunctional relational conflict.

In addition, we highlighted the President has a key leadership role, whereby if they are characterised by AL attributes, they can facilitate higher levels of trust amongst board members and ultimately minimise board fragmentation.

Practically, our findings assist boards to identify some of the behavioural antecedents to dysfunctional relationships, therefore assisting leaders to attenuate their influence on board fragmentation and improve board functioning.

This chapter examines Taylor Swift’s exceptional team-building and sustaining efforts that enhance her brand. Using social capital and Hackman’s team effectiveness model (Hackman, 1987, 2002, 2009), the chapter delves into how Swift surrounds herself with talented professionals and forms strategic relationships with emerging musicians. These connections foster trust, reciprocity, and collaborative success. By aligning her team with shared goals and maintaining strong interpersonal relationships, Swift exemplifies effective leadership in the music industry. This chapter provides insights into building and managing high-performing teams through unity and shared purpose.

Current knowledge and research on students’ utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students’ engagement with these tools.

This research used survey-based research to investigate generative AI literacy (utilization, interaction, evaluation of output and ethics) among students enrolled in a four-year public university in the southeastern USA. This article focuses on the respondents who have used generative AI (218; 47.2%).

Most respondents used generative AI to generate ideas for papers, projects or assignments, and they also used AI to assist with their original ideas. Despite their use of AI assistance, most students were critical of generative AI output, and this mindset was reflected in their reported interactions with ChatGPT. Respondents expressed a need for explicit guidance from course syllabi and university policies regarding generative AI’s ethical and appropriate use.

Literature related to generative AI use in higher education specific to ChatGPT is predominantly from educators’ viewpoints. This study provides empirical evidence about how university students report using generative AI in the context of generative AI literacy.

This study explores the experiences of care-experienced people living in supported housing provided by the Rees Foundation in England. This study aims to understand the challenges faced by those over 25 who have aged out of statutory support and explores how the Rees Foundation’s services help address these challenges.

This study uses a qualitative approach, using semi-structured interviews with five tenants and five staff members from the housing project. Thematic analysis identified key themes related to homelessness, safety, stability and the importance of relationships with outreach workers.

The findings reveal that care leavers often face a “cliff edge” when statutory support ends, resulting in risks such as homelessness and social isolation. The Rees Foundation’s approach, which includes ongoing emotional and practical support, plays a crucial role in fostering safety, stability and hope among tenants.

This study offers original insights into the effectiveness of sustained support for care-experienced people beyond the age of 25, an age group that has been largely overlooked in existing research. By focusing on a population often neglected in care leaver studies, it highlights the need for extended support services to prevent long-term adverse outcomes, contributing to the broader understanding of post-care transitions.

The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.