Asian Journal of Interdisciplinary Research

Mapping the Industry 5.0-Oriented Enablers for Driving Organisational Operational Performance Excellence

Mahender Singh Kaswan — 2026-10-29

Although Industry 4.0 promotes organisational efficiency, it has ignored or misunderstood many prevailing concerns to drive operational performance in industrial operations. While the desired operational performance value of Industry 5.0 (I5.0) is well recognised, how the same can be delivered through the lens of its enablers has not been explored. The present study fills this knowledge gap by first identifying I5.0-oriented enablers that drive operational performance, then grouping them into legitimate categories, and then prioritising them, so organisations can focus on the critical enablers for operational performance. The enablers were first identified from the literature and then grouped into legitimate categories using content analysis of the literature. The enablers were then prioritised using grey relational analysis (GRA) and further validated using the best-worst method (BWM). The study also provides the technological, organisational, and environmental (TOE) framework of the identified enablers that facilitate the path to drive organisational sustainability. The study finds that management-related (MR) and finance and knowledge-related (FKR) barriers are key enablers that must be prioritised to realise operational excellence from the perspective of I5.0. The findings of the present study drive implications for practitioners by fostering a deeper understanding of enablers for driving operational performance in routine tasks. Furthermore, the TOE framework facilitates decision-makers by enhancing workforce readiness and fostering stakeholders' collaboration for achieving sustainable resilience and human-centric operations.

Customer Switching behavior in Quick Commerce: The Roles of Customer Forgiveness and Continuance Intention

Ramya Senthil — 2026-10-26

Purpose: This study examines the relationships among switching intention, switching behavior, customer forgiveness, and continuance intention in quick commerce (Q-commerce) among IT professionals in Chennai, India. Design/methodology/approach: This quantitative, cross-sectional study used a structured questionnaire with a 7-point Likert scale. Data were obtained from 500 IT professionals aged 18-34 who had used at least one Q-commerce platform within the previous three months. A non-probability convenience sampling approach, supplemented by snowball recruitment for online distribution, was used. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4.0. Findings: All four hypothesized direct relationships were statistically significant. Switching intention was negatively associated with customer forgiveness (β = -0.486, p < 0.001), while customer forgiveness was positively associated with continuance intention (β = 0.683, p < 0.001). Switching intention was positively associated with switching behavior (β = 0.588, p < 0.001), whereas continuance intention was negatively associated with switching behavior (β = -0.330, p < 0.001). The model explained 61.1% of the variance in switching behavior. The sequential indirect effect through customer forgiveness and continuance intention was also significant (β = 0.110, p < 0.001), indicating complementary partial mediation. Because the data are cross-sectional, these findings are interpreted as associations rather than definitive causal effects. Research Limitations/Implications: The study is limited to IT professionals aged 18-34 in Chennai and uses non-probability sampling, which restricts generalizability. Future studies should examine other demographic groups and geographical contexts and use longitudinal or experimental designs to test the temporal sequence and causal interpretation of the proposed relationships.

A Systematic Review of AI-Enhanced Adaptive Flipped Classrooms in Undergraduate Engineering: Analytical Frameworks, Pedagogical Mechanisms, and Research Imperatives

Quanbo Geng — 2026-10-30

Flipped classrooms are increasingly being combined with adaptive and AI-enabled technologies, yet empirical evidence meeting a strict definition of AI-adaptive flipped learning in undergraduate engineering remains limited. This systematic review examined literature published between 2015 and 2025 and applied explicit operational criteria requiring learner-data-driven algorithmic adaptation, a structured flipped design comprising pre-class preparation and in-class application, an undergraduate engineering or computing population, and an eligible comparator or analytic contrast. Source-level verification identified five eligible peer-reviewed journal reports. These reports do not represent five independent research programmes; several arise from the same numerical-methods/adaptive-learning programme and include overlapping or sequential cohorts. Comparative reports generally found small or inconsistent differences in achievement, whereas perceived learning, classroom environment, and student experience were more consistently favourable. Kaw additionally showed that adaptive-learning-platform data could identify students at risk early, although the subsequent outcome comparison was confounded by voluntary uptake of human tutoring. No report isolated the contribution of AI adaptivity from all surrounding pedagogical and support components. The evidence therefore supports feasibility and several testable mechanisms, but not a pooled causal claim of superiority. Priorities for future research include independent multi-site trials, transparent reporting of algorithmic decisions and intervention fidelity, delayed engineering outcomes, prospective cost analysis, and predefined equity assessment.

How Green Performance Appraisal Drives Environmental Performance: The Mediating Role of Employee Productivity

Saravanan S — 2026-10-26

The purpose of this research was to evaluate how Green Performance Management and Appraisal affects overall employee satisfaction, productivity & environmental impacts within the service sector. This study used an overall quantitative approach with a cross-sectional design to collect primary data from 584 service sector workers located in Tamil Nadu India via a structured questionnaire. Structural Equation Model (SEM) analyses were conducted to confirm the hypothesized relationships between GPMA, employee satisfaction, productivity, as well as environmental performance. The results suggest that employees who are rated by their organisations using GPMA have higher levels of job satisfaction as well as improved productivity levels when compared to other employees. While GPMA shows a significant relationship with employee satisfaction and environmental performance, it has a significant relationship with Perceived Employee Productivity and therefore it may be viewed as a type of no mediating effect. It appears that GPMA has a greater impact on environmental performance through Perceived Employee Productivity rather than employee satisfaction. This study provides important theoretical and practical implications by showing how green appraisal systems can be used strategically to advance sustainability goals. The findings of this research encourage organisations to include productivity based green performance measurements in their human resource management systems to enhance environmental performance within service organisations.

Understanding Skincare Purchase Intention: The Role of Brand Image and Endorser Credibility under Risk Perception

Muchtar — 2026-10-21

In the competitive market of skin care products, the uncertainty of consumer’s intention is always at the center. The current study investigated the effects of mediation variable of brand image towards endorsers creditability and perceived risk on intention to purchase skincare products. The study has analyzed a total 150 respondents’ using SmartPLS-SEM tool. The results show the credibility of the endorser has a positive effect on the brand image and purchase intention, and the brand image has a positive effect on purchase intention. However, recent evidence indicates that the perceived risk does not always directly suppress purchase intention, especially when brand image is a psychological and perceptual barrier. Endorser credibility, risk perception and purchase intention are mediated by brand image. The results show that the consumers might be willing to purchase skincare products even with some potential risks if the brand image is strong and the endorser is credible, which highlights the link between trust, perception, and decision-making. The contribution of study applied to the theory of consumer behavior in the beauty sector, provides cross-disciplinary insights into marketing strategy and consumer psychology, and offers practical recommendations for marketers on how to select endorsers and improve brand image to increase purchase intention. Limitations include the size of the product, the nature of the sample, and the single-method approach. Future research can use the model for other product categories. Mixed methods can also be applied to investigate specific dimensions of risk.