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The Fast Moving Consumer Goods (FMCG) sector is a critical component of the global economy, providing consumers with a wide range of products that are consumed daily. However, this sector faces vulnerability during disruptions. Therefore, this research amid to examine the effect of supplier trust and integrated technology on supply chain resilience (SCR) for sustainable supply chains in the FMCG sector.

Data was collected from 409 respondents from the FMCG sector in the United States. The hypotheses were tested using Structural Equation Modeling through SmartPLS. The study findings found that all the direct and mediating hypotheses were supported.

The findings suggest that better supplier trust and the use of integrated technology enhance the capability of an organization to better respond to disruptions. It makes the supply chain more resilient. Further, SCR brings sustainable supply chains to the FMCG sector. Similarly, SCR is a significant mediator in the relationships between independent and dependent variables, highlighting the importance of resilient supply chains.

This research contributes to the literature on study variables and the Dynamic Capability View theory, as supplier trust integrated technologies are crucial factors in building resilient supply chains. This research has several managerial implications, including managers’ need to prioritize building trust with suppliers to facilitate increased information sharing. They should invest in integrated technologies to sense, forecast and be proactive in building SCR and, eventually, a sustainable supply chain.

Managers are continuously worried about the engagement of employees in the organization. This research aimed to investigate the employees’ perceptions regarding leadership attributes, which enhance the workers’ psychological empowerment and engagement.

A sample of 296 employees from three pharmaceutical companies based in Karachi was selected. For hypothesis testing, IBM SPSS AMOS version 24 was used to perform a confirmatory factor analysis and structural equation modelling.

The outcomes of multiple regression analysis expressed that the attributes of a leader positively influence psychological empowerment and employee engagement. The study found that psychological empowerment partially mediates the relationship between leadership attributes (feedback and delegation) and employee retention. Furthermore, psychological empowerment has no mediation between leadership attributes (empathy) and employee retention.

This study offers a unique contribution by focusing on the relationship between leadership attributes (empathy, delegation and feedback) and employee engagement within the pharmaceutical industry in Karachi, a relatively underexplored context. Psychological empowerment as a partial mediator between leadership attributes and employee retention adds a novel perspective, particularly by revealing that it mediates the impact of delegation and feedback but not empathy. Moreover, this research provides actionable insights for policymakers and operational managers in industries beyond pharmaceuticals, making it valuable for enhancing employee engagement across sectors. Advanced statistical techniques like structural equation modelling and confirmatory factor analysis further reinforce the study’s methodological rigour.

The artificial intelligence-enabled service robot has the potential to serve in consumer market. However, there is limited knowledge of how users across the globe respond to this innovation. Therefore, the purpose of this study is to develop an integrated research model led by three known theories, namely, diffusion of innovation, theory of planned behavior and DeLone and McLean model, and investigates consumer intention to adopt robot-enabled services.

The quantitative research design is selected in this research. Data were collected through structured questionnaires. Overall, 221 airline passengers participated in the service robot survey. These responses were further analyzed with a structural equation modeling approach.

Statistical findings have revealed that jointly perceived behavioral control, compatibility, innovativeness, information quality, system quality and service quality explained R² 50.3% variance in user attitude to adopt service robots. In addition to that robot appearance and user attitude have explained a large variance R² 48.9 % in user intention to adopt service robots. Nevertheless, results have revealed an insignificant moderating impact of robot appearance on user attitude and intention to adopt service robots.

Practically, this research has suggested that information quality, adequate system quality and service quality boost user confidence and encourage users to adopt services led by robots. Similarly, this research has suggested that compatibility brings ease to the use of robot technology and innovativeness attracts technology users. Therefore, policymakers should focus on compatible and innovative characteristics of robot services. Moreover factors such as subjective norms and perceived behavioral control have shown a positive impact in measuring user intention to adopt service robots and hence need managerial attention.

The current research is original, as it gives deep insight into understanding user behavior toward the adoption of service robots. Moreover, the integration of three known theories, namely, DeLone and McLean model, the diffusion of innovation model and the theory of planned behavior in service robot setting has made current research more unique. Similarly, this study is consistent with United Nations sustainable development goals and ignites SDG progress by promoting artificial-driven robotic technology in the services sector.

This paper aims to systematically review the constructive effects of digital transformation (DT) on social sustainability, examining its impact across democracy and governance, social cohesion, quality of life, equality and diversity. It emphasizes the need for appropriate frameworks that incorporate DT strategies in organizational practices to improve social sustainability.

A systematic literature review was carried out through Web of Science and Scopus databases to identify the distinctive papers that explored the impact of DT on social sustainability. It analyzes how various digital technologies, like Internet of Things, cloud computing and mobile computing, can be strategically embedded in organizational practices to optimize social sustainability outcomes.

This study reveals that although DT significantly enhances operational capabilities and consumer experiences, its integration into social sustainability practices is often overlooked. It proposes a novel framework that aligns digital capabilities with sustainability goals, aiming to enrich organizational performance and societal welfare. This paper identifies dynamic capabilities as crucial for sustaining competitive advantage in a digitally transformed business landscape.

The primary limitation is the reliance on secondary data, which may not fully capture the rapid advancements in DT. Future research should focus on empirical studies to validate the proposed framework and explore the dynamic capabilities required for integrating DT in social sustainability practices.

This study extends the discourse on DT by linking it explicitly with social sustainability, presenting a structured analysis that highlights the need for strategic integration of digital technologies within organizational sustainability practices. It fills a gap in the literature by proposing a comprehensive framework for organizations to follow, thereby contributing to the theoretical and practical understanding of DT’s role in enhancing social sustainability.