In recent years, advancing industrialization and rapid climate change have considerably influenced the global consumption pattern of natural assets. Undoubtedly, this massive utilization of natural resources and hazardous environmental emissions have profoundly curbed the worldwide socio-economic context, substantially causing this ecological burden to amplify the harmful effects on countries’ prosperity. This study aims to improve the sustainable performance of manufacturing firms in Pakistan through innovation capabilities and green process innovation. The study has adopted a quantitative approach, and data has been accumulated through a structured questionnaire distributed among 299 employees working in manufacturing firms. A structural equation model using Smart PLS software was used to analyze the collected data from the respondents. The results have identified a significant correlation between innovation capabilities, green process innovation, and sustainable performance. The buffering role of digital leadership enhances the employees’ creative skills and sustainable performance. Additionally, the extent that green product innovation plays a mediating role between innovation capabilities, green process innovation, and sustainable performance has been contemplated. Henceforth, the current study also analyzes the moderating role of digital leadership in sustainable performance.

The coronavirus pandemic (COVID-19) has undoubtedly created immense health problems in the global healthcare sector. Apart from its impact on physical health, it has devastatingly affected the psychological well-being of individuals. Based on Affective Events Theory (AET), the current study aims to contemplate the relationship between Fear of COVID-19 (CVF), psychological concerns (PC), and financial concerns (FC) while considering the impact on the healthcare employees’ job performance (JP). Moreover, this study investigates the mediating role of job anxiety (ANX), stress (ST), and depression (DEP). The data were collected through an online structured questionnaire (Google Forms) from 489 employees working in the healthcare centers of Pakistan. The structured equation modeling (partial least square) approach is adopted for data analysis. The study results showed that Fear of COVID-19, psychological and financial concerns positively and significantly affect healthcare workers’ job performance. Depression, anxiety, and stress mediated the relationship between Fear of COVID-19, psychological concerns, financial concerns, and job performance. The study theoretically and practically contributes to the existing literature on psychological and mental health by providing a better understanding of the individual variables that affect employees’ job performance.

Worldwide economies are determined to achieve sustainable development. In this pursuit, the role of SMEs and ICT has emerged as an inevitable choice for sustainable development. The literature on the impact of SMEs and ICT on sustainable development, particularly in China's context, is scarce. Therefore, the analysis aims to investigate the impact of SMEs and ICT on sustainable development in China for the period of 1998–2020. We have applied the ARDL model for empirical analysis. The short and long-run estimates attached to SMEs are significant and positive, confirming that SMEs help to achieve sustainable development. Similarly, the estimates attached to ICT are positive and significant both in the short and long run, confirming the beneficial role of ICT in achieving sustainable development. The estimates attached to institutional quality and R&D control variables are positive and significant in the long run, but only R&D estimates are significant in the short run. In particular, digitalization and SMEs development provide a win–win situation for China to mitigate climate change in the long run and become more environmentally sustainable.

Organizational risks are present in any activity, so it is important to manage them properly. The jobs are dynamic and involve a series of processes and activities. The entire human resource is exposed to several risks. If these risks are approached correctly, the organizational capacity to achieve its objectives and vision will increase considerably. This paper aims to investigate the relationships between work accidents (fatal and non-fatal) and the causes that contribute to their occurrence (causes dependent on the executor, causes dependent on the means of production, workload-dependent causes, and work-dependent causes—the work environment). The augmented Dickey–Fuller (ADF) test is employed to check the data stationarity series, while the Johansen test determines the cointegration relation of variables. The data have been collected from Romanian organizations. The vector error correction model (VECM) and Granger causality test are applied for speed of adjustment, nature, and direction of variables’ relationship. This research demonstrated that both data series are free from the unit-root problem at first difference. The lag length criterions select the third lag for model fitness, and Johansen cointegration declares that variables are cointegrated for the long term. The vector error correction model shows the speed of adjustment from the short to the long run is 83.35% and 42.60% for work and fatal accidents. The study results show that fatal accidents have a series relationship with selected cases for the short run and have a long-run relationship with the means of production. Fatal accidents are directly related to means of production. Fatal accidents are not designed by executors, workload-dependent causes, or work environments in the short run. Fatal accidents are directly related to the means of production and sudden incidents happening in the long run. Fatal accidents are considered by executors, workload-dependent causes, or work environments in the short run. In the long run, fatal accidents are directly related to the means of production and sudden incidents happening.

Enhancing the customer relation has been considered critical cornerstone for successful organization and it plays a vital role in different business contexts and sectors. Further, it can improve the entity’s status and profiles. With the respect of the Internet of Things (IoT), a new shift in the paradigm among different business fields is based on the premise of interconnected devices with customer relations. IoT supports and underpin the businesses in several ways and methods include improving public safety, transport, and healthcare through providing more reliability and accurate information to enhance communication and relations. In this paper, an aim to address the impact of the IoT implementation on enhancing customer relations. There are many key factors while implementing IoT such as cost-savings, self-configuration, robotics, and operations management. On other hand, a few negative aspects may influence the implementation of IoT, include privacy and security threats, interoperability, dependability, insufficient infrastructure, and less experienced IT experts. The industrial and business sectors may benefit from implementing IoT by addressing adoption-associated concerns about customer relations. The current paper pursues to develop a research framework to adopt effective customer relationships using IoT in the organizations. Also, the study proposed a framework to impact user experience using IOT which adds more light on a set of Factors that influencing customer experience.