The Chinese manufacturing industry faces many challenges to sustainable development. This study examines how transformational leadership, corporate culture, and digital transformation affect Chinese manufacturing organizations’ sustainability. It will also examine the moderating role of environmental dynamism and the mediating effect of innovation capabilities. A self-administered survey was distributed to 350 manufacturing companies’ owners, managers, leaders, and employees, etc. Participants were selected via convenient sampling. This data collection effort validated findings and empirically tested theories. Smart PLS structural equation modelling (PLS-SEM), quantitative research, and cross-research are used in this study. The findings suggest that corporate culture, transformational leadership, and digital transformation significantly affect organizations’ sustainability. Innovation capability does not affect the relationship between corporate culture and sustainability. However, it mediates the relationship between transformational leadership, digital transformation, and business sustainability. Innovation capabilities and business sustainability performance are moderated by environmental dynamism. This study contributes to sustainable corporate performance theory by showing managers how transformational leadership, digital transformation, and corporate culture can help manufacturing companies grow indefinitely. The findings have major implications for China, a highly industrialized nation. This study could benefit regulatory authorities, academic institutions, industry, government agencies, and researchers.

Purpose: In today's global economy, developing supply chain agility (SCA) and lean practices (LP) as resource-based view and dynamic capabilities are essential for firms to sustain their competitive advantage (CA) and enhance their operational performance (OP). The purpose of this paper is to develop and empirically test a framework to investigate how CA is achieved through SCA and LP and how these, in turn, can enhance a firm's OP.Design/methodology/approach: For data collection, the authors adopted the survey method using self-administered questionnaires. Two-source survey data were collected in two rounds (separated by a two-month lag time) from supply chain managers, operational managers and general managers. The purpose of collecting data in two rounds was to reduce common-method bias. Likert scale (1–5) was used in the questionnaire. Smart PLS 3 and SPSS 23 were used for the data analysis purpose.Findings: SCA was found to directly and positively affect OP. LP also positively affected OP. In addition, CA fully mediated the relationship between SCA, LP and OP.Practical implications: This study encourages the managers of manufacturing firms to adapt LP and their supply chains (SCs) to become agile and leverage the advantages of their implementation to improve their OP and succeed in the market.Originality/value: This study is one of the first to investigate the effect of SCA and LP on OP. Furthermore, the first study examines CA's mediating impact on the relationship between SCA, LP and OP.

Purpose: The food industry is crucial in delivering healthy products for life saving of the society. The identification of key barriers of knowledge management (KM) is desired to enhance the sustainability of the industry. KM has been seen as a part of sustainable development by reducing the bullwhip effect in the entire supply chain. The core objective of the existing research is to prioritize the essential factors of KM adoption in sustainable supply chain (SSC) based on fuzzy analytical hierarchy process (FAHP) method.Design/methodology/approach: In order to fulfill objectives of this study, an extensive review of literature and a questionnaire-based field visits were conducted. A total of five major barriers categories and 22 sub-barriers categories were identified in food sector of Pakistan using experts' inputs. This study employed fuzzy analytical hierarchy process (FAHP).Findings: Managerial barriers, innovation and technological barriers categories are found to be highly prioritized among others. Further, the sensitivity analysis is applied to check the incremental changes of ranked barriers. This prioritization of barriers and incremental changes in them is expected to serve food sector for long-term sustainability and competitive advantage for importers and exporters. Finally, the findings of this research are very helpful for industrial experts, practitioners, consultants and government officials in effectively developing policies regarding KM adoption in line with sustainable goals.Research limitations/implications: The present work is conducted in the Pakistani context; however, the benchmark model may be tested and applied to other developing countries to compare the outcomes. For further research, the identified barriers may also be evaluated to establish their inter-relationships, using ISM, DEMATEL, ANP, etc. Similarly, the results of this study can also be compared with that of other fuzzy multi-criteria techniques like fuzzy TOPSIS, fuzzy VIKOR, fuzzy ELECTRE, fuzzy PROMETHEE, or fuzzy VIKOR.Practical implications: This research study can facilitate policymakers, government bodies, stakeholders and supply chain professionals to recognize the key barriers they may encounter in adopting KM practices in their SSC. Additionally, this work helps managers to evaluate the identified barriers by computing their relative importance in adopting KM practices at managerial levels like strategically, tactically and operationally activities in business. This study also facilitates industrial management in formulating policies and action plans in case of implementation, eliminating the barriers in adoption of KM, and SSC successfully.Originality/value: Few research studies were conducted on KM adoption in industries of China, India, Turkey, Saudi Arabia and Malaysia, but due to workforce diversity these industries have dissimilar views of experts about KM adoption. This study significantly contributed to fill the existing literature gap for prioritization of key barriers against KM implementation in Pakistani context.

The long-term development goals of most countries face significant challenges in reducing emissions, improving environmental sustainability, and mitigating the negative effects of climate change. This study looks at how the ecological sustainability of BRICS countries is affected by economic growth, financial development, new technologies, and renewable energy consumption with the mediating effect of trade openness. The study covers the years 2004–2023, and it was based on fixed-effect models that use static panel data. Data were collected from the World Development Indicators website. The countries and time frame for this study were selected on the basis of data availability. These findings show that the use of renewable energy sources, technological innovation, and financial development all have a significant and positive impact on environmental sustainability. Nevertheless, environmental sustainability is significantly and negatively impacted by economic growth. Furthermore, trade openness functions as a significant mediator between them. Based on empirical evidence, the paper suggests that the BRICS nations seek sustainable economic development. Moreover, government agencies need to accurately evaluate the connection between financial development and emission reduction when formulating programs to cut emissions.