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This study investigates the influence of knowledge hiding in organizations (KHOs), knowledge sharing in organizations (KSOs) and big data knowledge management (BDKM) on knowledge management success. Monitoring (MNT) is used as a moderator between KHO and knowledge management success. Besides, knowledge management success and digital business intensity (DBI) are used to attain competitive advantage (CA). Finally, digital business intensity is used as a moderator between knowledge management success and competitive advantage.

Data were collected through questionnaires using simple random sampling, and a total of 433 questionnaires were used in the final analysis. Partial least squares structural equation modeling is used to test study hypotheses.

Results indicate that KSO, BDKM and monitoring are positive, but KHO is negatively related to knowledge management success. Monitoring moderates the relationship between KHO and knowledge management success. Knowledge management success and digital business intensity significantly attain competitive advantage. Digital business intensity significantly moderates the relationship between knowledge management success and competitive advantage.

Top managers can use study findings in decision-making if they want to attain a competitive advantage. KHO has a negative influence on knowledge management success, but this relationship can be changed by monitoring the employees. KSO, BDKM, knowledge management success and digital business intensity play a vital role in determining competitive advantage.

By building knowledge culture using the knowledge-based view, this study contributes to KHO, KSO, BDKM, monitoring, digital business intensity and competitive advantage literature.

This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.

The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.

The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.

For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.

The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.

There is currently a lack of comprehensive examination in the research field exploring the relationship between digitalization and environmental performance (EP) in manufacturing small and medium-sized enterprises (SMEs). This study investigates the relationship between digital technologies, digital organizational culture (DOC), environmental dynamism and EP through the mediation of innovation capacity (IC) and moderation of perceived environmental volatility and green strategic intent (GSI).

The data were gathered from 473 managers of manufacturing SMEs in Pakistan. Partial least square structural equation modeling (PLS-SEM) was applied to examine the mediation and moderation effects. Multiple regression analysis was used to see the influence of digital technologies, DOC, environmental dynamism, innovation capacity, perceived environmental volatility and GSI on SMEs environmental performance.

Results indicate a statistically significant direct relationship between digital technologies, environmental dynamism and EP. While there is an insignificant direct relationship between DOC and EP. Furthermore, the results reported a significant result between digital technologies, DOC, environmental dynamism and IC. Similarly, IC significantly mediated the relationship between digital technologies, DOC, environmental dynamism and EP. Moreover, results reported that perceived environmental volatility does not moderate the relationship between IC and EP, while GSI significantly moderates between IC and EP.

Policymakers must emphasize advancing digital integration to enhance manufacturing SMEs’ efficiency and environmental effectiveness.

This is the first research that incorporates digital technologies, environmental factors and innovation capacity to measure environmental performance in line of natural resource orchestration theory (natural ROT). All the variables significantly measure environmental performance instead of digital organizational culture. Perceived environmental volatility also does not moderate.

This study aims to examine the influence of organizational flexibility (OF) and shared vision (SV) on sustainable competitive advantage (SCA) with the mediation role of responsible innovation (RI) in the manufacturing industry of a developing country. Furthermore, big data analytics capability (BDAC) serves as a moderator between RI and SCA.

The study's hypotheses are investigated using the structural equation modeling (SEM) method. Through simple random sampling, information was gathered from 247 owners/managers of manufacturing SMEs.

The results elucidate that OF and SV significantly determine RI and SCA. Moreover, RI significantly mediates between SV, OF and SCA. Besides, RI significantly determines SCA. BDAC significantly leads to SCA. Finally, BDAC significantly moderates between RI and SCA.

RI is crucial for manufacturing small and medium-sized enterprises (SMEs) to gain SCA and BDAC is important to address the changing demands of consumers for environment-friendly products. This study gives the public an overview of the different degrees to which SMEs are embracing RI and BDAC; with more environment-friendly initiatives, the natural environment will become more sustainable. Environmental sustainability will benefit each individual living in society.

This study adds value to the existing literature by focusing on predictors that affect SCA. Using dynamic capability theory, this initial study examines the influence of SV and OF on SCA and RI as mediators. Furthermore, BDAC is used as a moderating variable between RI and SCA. Managers, students and researchers can benefit from this study.

Sustainability issues are crucial in today’s competitive environment. The integration of technology plays a vital role in the attainment of sustainability objectives. The study aims to investigate the relationship between green intellectual capital (IC), green information systems (IS), green management initiatives (GMI) and green technology adoption in light of natural resource-orchestration theory (ROT). Moreover, digital technology adoption mediates between green IC, green IS, GMI and sustainable performance. Finally, digital transformation strategy is used as a moderator between green technology adoption and sustainable performance.

A sample of 484 managers from automobile manufacturing companies was used in this study to evaluate the proposed relationships using the Structural Equation Modeling (SEM) methodology.

Findings reveal that green IC, green IS and GMI significantly influence green technology adoption. Besides, green technology adoption plays a crucial role in improving sustainable performance. Moreover, green technology adoption significantly mediates between green IC, green IS, GMI and sustainable performance. Finally, a digital transformation strategy significantly strengthens the relationship between green technology adoption and sustainable performance.

The organizations need green technology adoption to address environmental concerns, respond to consumer demand, achieve cost savings and comply with government regulations. Besides, in decision-making, organizations must focus on green IC, green IS, GMI, green technology adoption and digital transformation strategy to boost sustainable performance.

The originality of this study lies in its use of the natural ROT as a framework to examine the impact of multiple green resources on green technology adoption, leading to sustainable performance. Digital transformation strategy is used as a moderator between green technology adoption and sustainable performance. This study provides a comprehensive and integrated perspective on the subject with empirical evidence and relevant insights, contributing to the advancement of the field.

The sustainable performance of manufacturing companies may commence with employees’ eco-friendly initiatives. The management is responsible for employee green initiatives, requiring the human resource department to develop and implement green strategies. Therefore, it is essential to investigate how green human resource management enhances sustainable performance among manufacturing personnel. This study aims to determine if the green knowledge management and green innovation of manufacturing employees serve as serial mediators in the relationship between green human resource management and sustainable performance. Additionally, if artificial intelligence facilitated the relationship between green human resource management, green knowledge management and sustainable performance.

The data were gathered from manufacturing firm managers and analyzed using partial least squares structural equation modeling.

The results indicated a notable and positive correlation between green human resource management and sustainable performance, green knowledge management and green innovation. Green knowledge management and green innovation exhibited significant positive correlations with sustainable performance. Additionally, green knowledge management and green innovation facilitated the connection between green human resource management and sustainable performance. This relationship was serially mediated by green knowledge management and green innovation. Furthermore, artificial intelligence moderated the relationship between green human resource management, green knowledge management and sustainable performance.

This study suggests that management can use study findings in decision-making to improve firms’ sustainable performance.

This study provides novel empirical evidence by investigating the mediation roles of green knowledge management and green innovation between green human resource management and sustainable performance through the lens of the natural resource orchestration theory.

The research frontier concerning the relationship between Industry 4.0 (I4.0) and supply chain performance (SCP) in manufacturing is currently lacking in a comprehensive examination. This study examines the relationship between I4.0 adoption and SCP. Additionally, the study examines the mediating effects of supply chain traceability (SCT), supply chain visibility (SCV) and supply chain resilience (SCR), both individually and sequentially.

The data were garnered from 510 managers of manufacturing firms, and PLS-SEM was applied to examine the sequential mediation effect of SCT, SCV and SCR between I4.0 and SCP.

Results indicate a statistically significant direct relationship between I4.0 adoption and SCP. Furthermore, SCT mediates the impact of I4.0 on SCP. Similarly, results showed that SCV mediates the impact of I4.0 on SCP and SCR mediates the impact of I4.0 on SCP. Moreover, the relation between I4.0 adoption and SCP is substantially influenced by the sequential effects of SCT, SCV and SCR. The study provides novel empirical evidence by investigating the sequential mediation roles of SCT, SCV and SCR between I4.0 adoption and SCP through the lens of the resource-based view (RBV) perspective.

Policymakers must prioritize the promotion of I4.0 integration to strengthen the performance of manufacturing supply chains (SC). This can be achieved by improving traceability, visibility and resilience within these SCs.

The originality of this study lies in its use of the sequential mediation effect of SCT, SCV and SCR between I4.0 and SCP under the theoretical lens of RBV.

This paper analyzes and compares segments disclosure practices of listed companies of Pakistan and Bangladesh under International Financial Reporting Standard (IFRS) 8 with companies from India under Accounting Standard 17 over three-year period from 2013 to 2015. Furthermore, the purpose of this paper was to investigate that how the selection of chief operating decision-maker (CODM) by management, industry type, governance and firm characteristics affects segments disclosure practices in South East Asia. Finally, how the relationship among segment disclosure, firm characteristics and corporate governance is moderated through the big 4 audit firm.

To achieve these objectives, data were collected from annual reports of the top 100 companies of each country and selected based on market capitalization for three years period 2013–2015.

Results state that majority of companies in South East Asia are using business class for defining operating/primary segments. Regarding reporting of operating/primary segments and geographic/secondary segments along with geographic fineness score, Indian companies are continuously on the lower side as compared to companies from Pakistan and Bangladesh. Furthermore, it was found that industry type and selection of CODM have a highly significant effect on segments disclosure practices. Finally, results of regression analysis found that the application of IFRS 8 in Pakistan and Bangladesh has a significant positive effect on disclosure of operating/primary as well as geographic/secondary segments as compared to India. Further, the role of corporate governance mechanism in influencing segments disclosure was found as least in South East Asia. Further appointment of big 4 audit firm as external auditor has only significant positive effect on disclosure of segments items. Finally, based on additional analysis, it was found that big 4 auditor moderates the relationship only in the case of reporting of operating/primary segments.

Based on these results, the performance of Indian companies regarding disclosure of operating/primary segments, geographic/secondary segments along geographic fineness score is quite low despite the fastest growing economy in the world. This raises concerns about the quality of segment reporting in India, the world’s fastest expanding economy.

These results imply that there is a need of an effective role by the external auditor to improve the quality of segment reporting in developing countries, which is principle based.

This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types on sustainable competitive advantage (SCA) and sustainable business performance (SBP) within the food manufacturing and food processing small- and medium-sized enterprises (SMEs) of a developing country.

Partial least square structural equation modeling technique was used to test the hypotheses. Simple random sampling was used, and data were collected from 312 owners/managers of food manufacturing and processing SMEs.

The results reveal a significant positive relationship between GSV, GKS and eco-innovation types. Furthermore, it was revealed that all three types of eco-innovation are significantly related to SCA and SBP.

The results of this research will assist food manufacturing and food processing SMEs in reducing their eco-footprint to gain SCA and SBP. Furthermore, policymakers and governing bodies may implement strong regulations to curtail eco-pollution.

To the best of the authors' knowledge, this is the first study that incorporates the concept of eco-innovation in food processing and food manufacturing SMEs of a developing country in the light of the natural resource orchestration theory.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Knowledge hiding within a firm is damaging and undermines attempts to gain competitive advantage. Knowledge sharing is the opposite of this and boosts competitive advantage.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.