Search results

This study aimed to identify subgroups of esports players based on their gaming behavior patterns across game genres and compare self-efficacy, social efficacy, loneliness and three dimensions of quality of life between these subgroups.

324 participants were recruited from prolific academic to complete an online survey. We employed latent profile analysis (LPA) to identify subgroups of esports players based on their behavioral patterns across genres. Additionally, a one-way multivariate analysis of covariance (MANCOVA) was conducted to test the association between cluster memberships and development and well-being outcomes, controlling for age and gender as covariates.

LPA analysis identified five clusters (two single-genre gamer groups, two multigenre gamer groups and one all-genre gamer group). Univariate analyses indicated the significant effect of the clusters on social efficacy, psychological health and social health. Pairwise comparisons highlighted the salience of the physical enactment-plus-sport simulation genre group in these outcomes.

This study contributes to the understanding of the development and well-being benefits experienced by various esports consumers, as well as the role of specific gameplay in facilitating targeted outcomes among these consumer groups.

The purpose of this study was to comprehend the adoption of artificial intelligence (AI) technology-driven natural large language model (LLM)-based chatbots by customers.

A qualitative research study method was conducted. This was to explore managerial perspectives towards consumer centric technology adoption of AI plus LLM-based chatbots. This was specifically for AI-driven natural LLM-based chatbots services. The author conducted conducted in-depth personal interviews with 32 experts of digital content AI + LLM chatbot services. Thematic content analysis was undertaken to analyse the data.

The advent of natural language processing tools driven by AI technology chatbots has altered human-firm interaction. The research findings indicated that the push-pull-mooring (PPM) factors captured the phenomenon in the most comprehensive way. A total of 15 key factors influencing the adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction were identified in this study by the author. The thematic content analysis unraveled insights regarding transformed consumer adoptions towards AI-driven LLM-based chatbots by means of the PPM framework factors.

The empirical research investigation contributed to the literature on the PPM theoretical framework. This was specifically in the context of adoption of AI technology-driven natural LLM-based chatbots by customers during firm customer interaction.

The research study insights would help managers to restructure and reconfigure their organizational processes. This would neccessiated a shift in firm-customer interactions as demanded because of the availability of AI technology-driven natural LLM-based chatbots by customers.

This research study was based upon the PPM theoretical framework. This study provided a unique analysis of the altered firm customer interaction needs and requirements. This was one of the first studies that applied the framework of PPM theory regarding the adoption of AI technology-driven natural LLM-based chatbots by customers.

The purpose of this paper is to explore issues relating to imposing a ban on the importation of asbestos-contaminated building materials (ACBMs) in the Australian context to better understand the multiple accountabilities and consequences.

This study undertakes a qualitative content analysis of the multiple accountabilities and stakeholder expectations using the lens of actor–network theory. This study further explores the weaknesses and complexities associated with implementing a complete ban on asbestos, ensuring that only asbestos-free building materials are imported to Australia. This study uses data collected from 15 semi-structured interviews with stakeholders, responses from the Australian Border Force to a questionnaire and 215 counter accounts from the media, the Australian Government, industry organizations, non-governmental organizations and social group websites during the period from 2003 to 2021.

This study reveals that stakeholders' expectations of zero tolerance for asbestos have not been met. This assertion has been backed by evidence of asbestos contamination in imported building materials throughout recent years. Stakeholders say that the complete prevention of the importation of ACBMs has been delayed because of issues in policy implementations, opaque supply chain activities, lack of transparency and non-adherence to mandatory and self-regulated guidelines.

Stakeholders expect public and private sector organizations to meet their accountabilities through mandatory adoption of the given policy framework.

This research provides a road map to identify the multiple accountabilities, their related weaknesses and the lack of implementation of the necessary protocol, which prevents a critical aspect of legislation from being effectively implemented.