Journal of Management and Administrative Sciences (JMAS)

An Investigation of the Cyberloafing Mechanism in the Relationship between Workplace Incivility and Employee Expediency: The Moderating Role of Work Family Conflict

Hira Nasir — 2025-12-31

The COVID-19 has massively increased digitalization in the past two years and replaced human interactions with internet based services. The dire need for internet to perform work duties has opened up opportunities for cyberloafing. The aim of the empirical study is to examine; 1) incivility i.e. a behavioral aspect of knowledge workers leading to cyberloafing, 2) how cyberloafing can have a negative effect on the overall productivity of the organization through employee expediency, 3) analyze the mediating role of cyberloafing between incivility and employee expediency, 4) determine the direct effect of incivility on employee expediency 5) determine the extent to which WFC effects the: a) relationship between cyberloafing and employee expediency b) relationship between the overall mediated model of incivility resulting in employee expediency through cyberloafing. The time lagged study comprised of 300 employees from various schools. The results supported all the hypothesized relationship. The study widens the nomological network of cyberloafing by relating it to employee expediency. The study of expedient behavior itself is the first one in Asian context.

Trust me, I'm a Bot: Unraveling AI Chatbot Service Quality’s Impact on Continued Use Intention

Ayesha Ramzan — 2025-12-31

This study’s purpose is to examine the significance of service quality of AI chatbots delivered through entities that are not only practically adaptive but also reliable for potential consumers. This research investigates the relationship between multiple service quality dimensions of AI chatbots and continued use intention via trust in chatbots as a mediating role based on an underlying theory. The research variables have been measured for the first time in the context of AI chatbot services and consumers. The conceptual framework was developed by utilizing insights from pertinent research related to the study subject and was grounded in Technology Acceptance Model (TAM) to understand user beliefs and actions. In this context, research employs a one-time, cross-sectional and quantitative nature, with a sample gathered from 460 users of AI chatbot services based in Lahore. The SPSS Macro Model 4 was designated, and thoroughly produced results indicated an effective association between semantic understanding, human-likeness and efficiency; the multiple service quality dimensions of AI chatbots and continued use intention; and trust in chatbots as a mediator; therefore, all the research hypotheses were validated. In conclusion, the results from this research study will enable companies to gain a competitive edge, and moreover, customers will be more likely to trust chatbot-provided services based on those service quality dimensions.

Driving Sustainable Supply Chains through Green Leadership, Culture, and Employee Engagement

Muhammad Usman — 2025-12-31

This study aims at analyzing the drivers of sustainable supply chain management in organizations. It seeks to determine the functions of leadership, organizational practices as well as employee behaviors in facilitating sustainability results. The study enables a holistic view of the processes through which efficient and responsible supply chain operations are achieved through the analysis of these relations. The study was conducted using Partial Least Squares-Structural Equation Modelling (PLS-SEM) and a well- researched survey questionnaire. The results indicate that Green Intrinsic Motivation, Green Knowledge Sharing, Green Work Engagement and Task-Related Pro-Environmental Behavior are key drivers of Sustainable Supply Chain Management. Such green behaviors are closely connected with green leadership, organizational culture, and green thinking, which make leadership and cultural support significant. The mediation analysis supports the fact that the organizational factors and sustainable supply chain practices depend on such key processes as motivation, knowledge sharing, and pro-environmental behavior. Nonetheless, the negative moderating impact of Green Work Engagement on Knowledge Sharing implies that complete engagement is not necessarily beneficial to knowledge sharing, which brings out the multidimensionality of employee engagement in sustainability activities. In general, although green behaviors are the core of sustainability, their performance relies on internal processes of engagement and organizational support. The theoretical contribution includes incorporating the notions of green transformational leadership, green thinking, and green organizational culture into a unified model along with the rest of the employee practices and engagement, which aids in the promotion of the literature on sustainable supply chain management. The practical implications of the study mention the need of any organization to create green transformational leadership, encourage green thinking and evolve sustainability-focused culture, where managers and employees actively support the efforts to address the sustainability of supply chain management and long-term effectiveness of operations.

Commodities and Volatility: Sustainable Economic Development and Interplay of Oil and Gold

Kanwal Iqbal Khan — 2025-12-31

In this research, we examine the relationship between oil & gold prices, how that relationship affects the volatility in the markets, and how these changes in volatility affect the transition to renewable energy for China. Through the use of advanced econometric modeling of historical data over a defined time frame, we derive the results which demonstrate that there is a strong independent link between gold price and oil price and that they are highly influenced by the general economic environment. We conclude that the relationships between commodity prices are very sensitive to the general economic environment, so when interpreting data on commodity price relationships, it is essential to consider the context in which they are being analysed. Our findings also indicate that gold & oil prices are extremely volatile and unpredictable, as evidenced by high volatility throughout our time frame for both commodities. The strong linkage of the commodity industry to the financial industry creates an opportunity for improved information on how to develop better predictions regarding how a commodity market is developing. This insight can be used by market analysts, financial professionals, and policymakers to make better decisions in the commodities sector. The implications show that changes in oil prices will impact policies concerning commodity markets, which in turn will enforce changes in the strategies of forecasting market experts, risk managers, and policymakers.

E-commerce Logistics and Delivery Risk Management with Machine Learning and MCDM Methods

Uzma Ahmad — 2025-12-31

Machine learning techniques and fuzzy Multi-Criteria Decision Making (MCDM) are sophisticated methodology widely employed to support data analysis and decision-making in systems characterized by uncertainty and vagueness. Given the inherent imprecision present in real-world data, these approaches leverage fuzzy logic to effectively address ambiguities and provide meaningful insights. In this thesis, we incorporate the machine learning technique with fuzzy cubic MCDM methods which helps to reduce the complexity in large scale MCDM problem. In particular the fuzzy C--Means algorithm is employed to reduce large data into meaningful clusters. Then these clusters are ranked and evaluated using MCDM techniques, specifically enhanced by fuzzy cubic numbers. The proposed algorithm allows decision-makers to effectively manage uncertainties inherent in decision-making processes that further improve the evaluation process including EDAS (Evaluation Based on Distance from Average Solution) and MAIRCA (Multi-Attributive Ideal-Real Comparative Analysis). Through the incorporation of fuzzy cubic numbers, these methods offer a precise evaluation that corresponds with the uncertainties and complexities of the real world. We also apply this proposed algorithm for risk assessment and mitigation in e-commerce logistics to find the best delivery routes for deliver different products. This hybrid strategy not only helps to identify delivery routes that best combine operational effectiveness and risk management but will also increase decision-making accuracy.

Understanding the Psychological Pathways between Despotic Leadership and Medical Practitioners Burnout: A Mediated Moderated Model

Sundas Khokhar — 2025-12-31

Burnout among medical doctors is a critical occupational challenge. In high-pressure health care environments, the leadership practices shape professional and personal well-being. Drawing on the theories of conservation of resource, social cognitive and work-family spillover model, the study examines work-family conflict as mediator and self-efficacy as a moderator between despotic leadership and burnout. Data were collected from 364 doctors working in public and private sector of Lahore and Sialkot. The hypothesis testing was done using SMART-PLS 4. Results revealed that despotic leadership positively associates with work-family conflict and burnout. Moreover, work-family conflict was shown to partially mediate the relationship between despotic leadership and burnout. The moderating results showed that self-efficacy does not moderate the direct relationship between despotic leadership and burnout but significantly dampens the negative effect of despotic leadership on work-family conflict as well as the indirect effect of work-family conflict on burnout. These findings highlight that toxic leadership style not only directly depletes doctors' psychological resources, but also disrupts their work-life balance which leads to high burnout. The study contributes to the negative leadership style and well-being in the healthcare sector. It also explores the role of self-efficacy as a personal resource which can buffer the negative effect of despotic leadership.

Keywords: Burnout, Despotic Leadership, Work-family conflict, self-efficacy, healthcare professionals.