This study integrates a unique service quality model with social exchange theory to examine how artificial intelligence service performance and employee engagement influence employee satisfaction. Specifically, it investigates the mediating role of employee engagement in the relationship between artificial intelligence service performance and employee satisfaction. Data were collected from 270 employees working in leading IT companies across Tamil Nadu, India, and analysed using Smart PLS. The findings highlight that artificial intelligence services, responsiveness, reliability, empathy, and assurance positively contribute to both engagement and satisfaction. These results indicate that effectively leveraging these artificial intelligence services factors can significantly enhance employees' job satisfaction. Consequently, this study provides practical insights for enterprises aiming to implement artificial intelligence technologies strategically to boost employee satisfaction. Over time, artificial intelligence, as demonstrated, will play a critical role in enhancing human resource management and enterprise development.

Risk management is the key to efficiency and sustainability in many sectors. The supply chain and logistics processes are a set of activities at the intersection of many sectors. In this context, risk management in air cargo transportation, which is a part of supply chain processes, is a concept that requires attention because of the complexity of the system and unique complex structure of aviation. This study presents a comprehensive analysis of risk management strategies in air cargo logistics, incorporating a bibliometric approach to evaluate existing scholarly literature. By systematically reviewing publications in the field, this study identifies trends, key themes, and influential contributions related to risk mitigation in air cargo transportation. The analysis sheds light on the evolution of research, prominent authors, publication outlets, and emerging focus areas within the domain of air cargo logistics risk management. The findings of this study offer valuable insights for practitioners, policymakers, and researchers seeking to enhance risk management practices in the dynamic and complex landscape of air cargo logistics.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Project manager (PM) competencies and trust play a crucial role in improving project performance, especially in the challenging environment of IT projects characterised by complexity, diversity, and constant changes. The aim of this study is to determine how trust interacts with and mediates the relationship between PM competencies and the project performance of IT projects in China. A cross-sectional survey data was collected from 326 team members involved in IT projects and used to test the theoretical framework based on project management theory which comes from project management body of knowledge (PMBOK). Multiple linear regression analysis demonstrated that PM competencies positively affect project performance, and trust partially mediates the relationship between PM competencies and project performance. The findings of this study can be used by PMs to improve project performance through their competencies and trust with team members. This paper adds value to existing research in the context of IT projects in China and has the potential to be applied in other industries and countries.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Social media's explosive expansion has forced firms to rethink their marketing tactics to communicate with a wider range of customers by providing value and enabling two-way dialogue. Influencers may contribute to increasing brand awareness and giving value to companies when they work with brands and the appropriate target audience. This study aims to evaluate the influence of source credibility dimensions such as trustworthiness, attractiveness, and perceived expertise on consumer attitudes toward fashion influencers and to assess how these attitudes impact consumers' intentions to make purchases and provide recommendations. Also, determine the direct impacts of source credibility on these purchase and recommendation intentions. The research includes 342 individuals who follow a famous fashion influencer in India by using the convenient sampling method. Hierarchical regression analysis has been performed on data using SPSS. The outcome of the study shows the effect of trustworthiness and perceived expertise on attitudes toward influencers in the fashion industry.