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This study investigates the impact of blockchain technology on green supply chain practices with the aim to promote pro-environmental settings in supply chains of manufacturing firms. Moreover, mediating role of environmental orientation is examined between blockchain technology and green supply chain practices. Also, moderating role of technological orientation in this connection is undertaken.

The authors have applied a quantitative methodology in which a questionnaire was developed from literature. After that, data are collected from manufacturing firms of Malaysia. The data collected are analysed by using PLS-SEM in which multiple regression and moderation are applied.

The results of this study confirm the positive impact of blockchain on green supply chain practices. Also, the mediating role of environmental orientation is revealed in this relationship. Moreover, technological orientation is confirmed as a moderator which strengthens the relationship between blockchain technology and green supply chain practices.

This study has collected data from manufacturing firms of Malaysia. However, the authors have not undertaken service sector firms. Thus, they recommend future researchers to consider service sector firms in this context. Moreover, they have taken SMEs for this study and have neglected large firms. Therefore, in future, large firms could be taken to test the current study's perspective in them. Furthermore, this study suggests to the policymaker and managers, especially of manufacturing concerns, to infuse Industry 4.0 technologies such as blockchain technology because of its manifold benefits.

This study suggests to the policymaker and managers, especially of manufacturing concerns, to infuse Industry 4.0 technologies such as blockchain technology because of its manifold benefits. First, it will enhance the integration across the streams of the supply chain; secondly, it will improve the demand and supply planning which will eliminate the extra production and will enable firms to adopt just-in-time production by saving various costs associated otherwise. Importantly, these processes are against the pro-environmental behaviour which is pivotal to achieve green supply chain practices.

This study contributes by joining the technological perspective of Industry 4.0 technologies and sustainability perspective of green supply chain in manufacturing concerns. In addition, the related concepts of technological orientation and environmental orientation are also undertaken to further adjoin the former fields. As a practical contribution, this study will, first, enhance the integration across the streams of supply chain; secondly it will improve the demand and supply planning which will eliminates the extra production and will enable firms to adopt just-in-time production by saving various costs associated otherwise. It is also suggested to instil pro-environmental behaviour or environmental orientation in the employees at all levels of firm. Moreover, technological orientation should also be improved by emphasizing on the importance of technology for environmentally friendly and green supply chain practices.

This study investigates the impact of Industry 4.0 technologies on green innovation performance. In this relationship, the mediating role of green innovation behavior is also studied. Moreover, open innovation is tested as a mediator between Industry 4.0 technologies and green innovation behavior.

A quantitative research method is adopted in which a structured questionnaire was used to collect data from 217 manufacturing firms of Malaysia. After collecting data, the partial least squares-structural equation modeling (PLS-SEM) technique is applied to analyze data and test the hypothesis of study.

It is found that Industry 4.0 positively impacts open innovation which leads to green innovation behavior. Also, the former lays positive impact on green innovation behavior which leads to improve green innovation performance.

The authors conclude that Industry 4.0 technologies can play an important role to improve green innovation performance of Malaysian manufacturing firms by managing open innovation for green innovation behavior which further improves the green innovation performance. In this context, it is recommended that strategists and policymakers should undertake the role of open innovation and Industry 4.0 technologies to promote environment-friendly innovations and to promote the green behavior in companies. The authors suggest hereby that firms should be given incentives to adopt and utilize Industry 4.0 technologies and collaborative innovation interactions – as they foster a climate for sustainable green innovations (which is also a key component to achieve competitive advantage) and a growing concern nowadays.

First of all the research contributes to achieving the broader of United Nations to promote sustainable innovation through green innovations. Moreover, the companies can also incorporate the findings and insights of this study while devising their policies to foster green innovations.

This research has done the novel contribution by bridging the gap between open innovation approach and sustainability fields while promoting green innovations in small and medium enterprises (SMEs). These two research fields are rarely studied in previous studies by focusing open innovation particularly. Hence, the authors suggest researchers to undertake these fields to further enhance the level of scholarship between innovation management and sustainability. Also, the authors recommend considering technological orientation and technological absorptive capacity of firms to improve green innovations. The current study has investigated the SMEs perspective in general irrespective to their sectoral differences, thus, for future researchers the authors suggest investigating the sector-wise comparison, i.e. electrical and electronics sector, chemical sector, etc.; or service and manufacturing sector differences.

This study aims to examine the adoption of Metaverse technology in the manufacturing industry and its potential impact on firms’ social and environmental sustainability performance.

Data were collected from 157 technology-based firms in the Malaysian high-tech manufacturing industry and analyzed using PLS-SEM to investigate the influence of social (i.e. social capital, open/innovative culture and empowerment) and technological factors (i.e. digitalization preparedness, integrability and strategic value) on Metaverse adoption and the moderating roles of digital trust and absorptive capacity.

Social and technological factors were found to significantly impact Metaverse adoption, with digital trust enhancing the influence of social factors. Absorptive capacity strengthens firms’ abilities to use social factors for adoption. However, digital trust does not significantly moderate the relationship between technological factors and adoption, nor does absorptive capacity impact this relationship. Finally, Metaverse adoption is shown to positively contribute to firms’ social sustainability, improving social well-being and equity, but it does not significantly impact environmental sustainability.

For practitioners, the study highlights the importance of fostering an organizational culture that supports digital trust and developing absorptive capacity as critical enablers of successful Metaverse adoption. Policy implications include the need for creating supportive policies that encourage digital transformation efforts aligned with sustainability goals.

Theoretically, this study integrates the Technology-Organization-Environment (TOE) framework, Human-Organization-Technology fit (HOT-fit) framework and Resource-Based View (RBV) to improve understanding of technology adoption and sustainability performance. From a managerial perspective, it highlights the importance of fostering digital trust and developing absorptive capacity as critical enablers of successful Metaverse adoption. Policy implications include the need for policies supporting digital transformation efforts aligned with sustainability goals.

The main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.

Data were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.

Empirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.

Findings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.

This research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

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.