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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.

This paper aims to investigate the influence of air and rail transportation on pollution in Turkey from 1970 to 2020.

Fourier Autoregressive Distributive Lags (ADL) and Fourier Fractional ADL cointegration tests (Banerjee et al., 2017; Ilkay et al., 2021) are employed to analyze the relationship be-tween the variables. Cointegration tests that take into account soft transitions under structural changes are implemented. Structural change issues are crucial for this topic since the changes in countries’ environmental policies and transportation habits are shaped by the decisions taken in relation to environmental regulations. Finally, for robustness purposes, we tested the estimated equation with a completely different methodology. Thus, a Machine Learning (ML) analysis is conducted, through a Ridge Regression (RR).

The findings obtained by applying Fourier Autoregressive Distributive Lags (FADL) and Fourier Fractional ADL cointegration tests, which can control for structural changes, reveal the existence of a long-term relationship between the variables. In addition, FMOLS estimates emphasize that economic growth and air transport can lead to increased pollution in the long run, while rail transport reduces it. Moreover, the statistically significant trigonometric terms indicate the existence of a smooth structural change among the variables. Robustness checks are performed through a Machine Learning (ML) analysis, which roughly confirms the previous results.

To our knowledge, existing research in Turkey focuses mainly on road transport, while the impact of rail and air transport on pollution has not yet been investigated. As such, this study will be a significant addition to the academic literature.

Manufacturing capability is a crucial component of every nation’s economy and pharmaceuticals are frequently a significant part of the manufacturing sector. Pharmaceutical supply chains are essential to health-care systems, contributing to living quality and shorter hospital stays. This study aims to examine the role of multiple integrations on business performance (BP) through supply chain flexibility (SCF) and supply chain agility (SCA).

Data was collected from 198 supply chain professionals in the pharmaceutical sector of the developing economy of Pakistan. The sample was collected based on a nonprobability purposive sampling approach. A five-point Likert-scale survey was used and analyzed with the PLS-SEM technique using SmartPLS 4.

This study found that process integration (PI) does not affect SCA, whereas relationship integration and measurement integration positively affect SCA. SCA positively impacts BP. In contrast, all integrations significantly influenced supply flexibility and BP except for PI. Finally, SCF significantly mediates the relationship between all integrations and BP.

This study examined the relationships of multiple integrations on BP, directly and indirectly, through SCF and agility. The theory of dynamic capabilities has been applied and extended to increase the comprehensiveness of the findings. A developing economy’s pharmaceutical industry supply chain was examined, producing empirical evidence of the results.