Md Asadul Islam and Baogui Xin
This study aims to explore emerging trends in mental health and work performance research, identifying key themes and future research directions.
Abstract
Purpose
This study aims to explore emerging trends in mental health and work performance research, identifying key themes and future research directions.
Design/methodology/approach
This study analyzed 743 relevant documents downloaded from Scopus database published between 2014 and 2024 using VOSviewer software for co-citation and co-occurrence analyses.
Findings
Findings reveal significant growth in research focusing mental health and work performance research. The western countries, such as USA, United Kingdom and Australia, emerge as leading contributors to the field, with medicine and psychology dominating the subject areas. The analysis highlights a complex interplay between employee mental health and work performance, underscoring the need for more interdisciplinary research. The results emphasize the necessity for customized interventions, long-term impact studies, cross-cultural research, technological innovations and policy advocacy to effectively address mental health issues in the workplace.
Originality/value
To the best of the authors’ knowledge, this study contributes to a deeper understanding of current research trends on mental health and work performance for the first time in the literature and provides a foundation for future investigations. This comprehensive analysis offers valuable insights for researchers, practitioners and policymakers seeking to enhance employee well-being and optimize work performance in contemporary organizational settings.
Details
Keywords
Baogui Xin, Liusong Zhu and Wei Peng
Online grocery stores are facing challenges. The intense competition in the online grocery market has driven companies to seek technological innovation. Moreover, the operations…
Abstract
Purpose
Online grocery stores are facing challenges. The intense competition in the online grocery market has driven companies to seek technological innovation. Moreover, the operations of online grocery stores on both the supply and demand sides are not sufficiently meeting the requirements of consumers and managers. The powerful capabilities of the Generative Pre-Trained Transformer (GPT) technology align with the needs of online grocery stores for innovation and upgrading. This study uniquely leverages GPT’s advanced natural language processing, adaptive learning and generative capabilities to analyze and optimize the online grocery supply chain competition in ways not possible with traditional analytical tools.
Design/methodology/approach
This paper constructs a Stackelberg game model, comprising a secondary supply chain consisting of a supplier who provides products and a retailer who sells them. This study explores the impact of GPT technology on online grocery store operations from the demand side and supply side, specifically including the value of service information, demand information and information-sharing behavior.
Findings
The findings reveal several vital conclusions: (1) On the demand side, the service information plays a crucial role in enhancing service levels and increasing consumer demand; (2) On the supply side, demand information provides positive incentives for retailers and suppliers and (3) Information-sharing behaviors can lead to cooperative relationships between upstream and downstream supply chain members, significantly increasing their respective service levels. This study not only explores the impact of GPT on the online grocery supply chain but also presents a rigorous framework for validating GPT-generated insights, ensuring the reliability of our findings.
Originality/value
This study provides valuable insights into a promising field. It employs game theory to analyze the impact of GPT technology on the overall operation of the online grocery supply chain and the market strategy of online grocery stores.
Details
Keywords
Baogui Xin, Yaru Hao and Lei Xie
This study delves into how corporations make decisions about influencer marketing. Specifically, it examines the differences between human influencers, who carry the risk of…
Abstract
Purpose
This study delves into how corporations make decisions about influencer marketing. Specifically, it examines the differences between human influencers, who carry the risk of scandals, and virtual influencers, a new and unpredictable realm, regarding their integration with social media platforms.
Design/methodology/approach
Using game theory and empirical data, the study explores crucial factors in influencer marketing, including influencer quality, reputation repair costs and the probability of R&D failures.
Findings
This study suggests that companies favor human influencers when the risk of scandal is low. However, competing companies switch to virtual influencers at different intervals as this risk increases. The costs, likelihood of scandals and competition intensity all play a role in a company's decision-making regarding technology management. Additionally, a higher chance of R&D failure can motivate a company to invest more in R&D to gain a competitive advantage over rivals that may suffer failures.
Research implications/implications
This study provides insights into how corporations manage social media influencer marketing in the digital age. It contributes to marketing theory and technology management decisions by offering a fresh perspective on the relationship between corporate reputation and influencer marketing strategy.
Originality/value
This study offers valuable perspectives into a relatively uncharted area of marketing strategy. It employs game theory and empirical analysis to introduce a fresh method of comprehending the dynamics of influencer marketing, its impact on corporate reputation management and its interaction with social media.