Amid rising environmental concerns, advanced technology, including Blockchain technology (BCT) are transforming circular economy (CE) practices and prevailing business models. Recognize the same, the current study examines the role of BCT in CE practices; and their impact on organizational performance. The study collects data from 239 enterprises that are located in Malaysian territories. By employing PLS‐SEM modeling framework, the study provides two key findings. First, BCT significantly improves the CE practices (circular procurement, circular design, recycling, and remanufacturing). Second, CE practices help to increase organizational performance. This study set‐out the foundations for participating countries/firms, that help to simultaneously achieve financial and sustainable goals through the integration of BCT in their business for betterment.
PurposeThe current study investigates the effect of industry 4.0 on green practices, including green manufacturing and green logistics, in the context of emerging economies.Design/methodology/approachA cross-sectional data were collected from 234 manufacturing firms in Pakistan, and PLS-SEM was employed to test hypotheses.FindingsWith the advent of industry 4.0 in the current era, more emphasis is being given to the adoption of digital technologies in every field. The adoption of the green approach in supply chain management provides firms with socioeconomic and environmental benefits. The study results indicate that industry 4.0 positively affects green practices, including green manufacturing and green logistics. Moreover, the results also illustrate that these green practices have a substantial effect on the sustainability performance of the firms.Research limitations/implicationsThis study provides an amplified understanding of the industry 4.0 technologies in the adoption of green practices. The outcomes also offer a policy framework for managers, legislators and manufacturers to promote green practices (i.e. green manufacturing and green logistics) in businesses.Originality/valueAlthough several recent studies have tried to investigate the effect of green practices on sustainability performance. However, as per the author's best knowledge, very few studies have analyzed the influence of industry 4.0 on green practices (i.e. green manufacturing and green logistics) in the context of emerging economies.
Lack of an established measuring instrument for public participation towards renewable energy (RE) development has become a crucial concern for the researchers. Therefore, this research aims to develop and validate the instruments that measure public participation towards renewable energy development (PPRED) in Malaysia. This study incorporates degree of knowledge on RE (KRE), environmental concern (EC), public awareness on RE (ARE), attitude towards RE usage (AURE), and willingness to adopt RE technology (WTA) in the PPRED model, with an aim to predict public willingness to pay (WTP) for energy generated from RE sources. Using data of 172 usable responses, this study conducts an exploratory factor analysis (EFA) to analyse the factor structures. In addition to this, using data from 154 usable responses from a second sample frame, this study also conducts confirmatory factor analysis (CFA) to examine the unidimensionality of the measurement model. Correlations are used to measure discriminant and convergent validation of the items whereas Cronbach’s Alpha is used to measure internal consistency among different items. Specifically, EFA is used for variable extraction and CFA is used to test dimensionality, validity, and reliability of the PPRED model. The results proved validation of the PPRED model, indicating that all instruments included are reliable and valid to be used in the research. This study is also pertinent to initiate targeted campaigns and public education policies to improve awareness among Malaysians relating to renewable energy development
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