Determinants and implications of environmental practices for waste management and the minimization in the construction industry: a case study of Pakistan

The management of Industry 4.0 technologies and environmental assets for optimal performance of industrial firms in Malaysia

The integration of Industry 4.0 (I4.0) has emerged as an innovative paradigm for industrial firms contemplating environmental and economic issues. This study explicates the role of I4.0 technologies (I4.0TEC) in reinforcing the management of environmental assets (ENVASS) as well as optimizing financial performance (FP). The data in this research was collected from 738 industrial firms in Malaysia between 2009 and 2018. The analyses of ordinary least square statistics (OLS) and structural equation modeling (SEM) delineated three major findings. The individual effect of ENVASS, robotization, and flexibility in production technologies has a marginal impact on sales, exports, and labor productivity indicators. The complementarities of these variables represent a similar effect on the performance indicators. The findings related to gross operating margin elucidate that ENVASS and I4.0TEC have neither individual nor complementarity effects. This was explained by developing a robust model by integrating ENVASS, I4.0TEC, spending and investing in R&D, flexibility in production, and human capital management. Our findings have confirmed that the proposed model offers a functional toolkit for the firms considering optimizing their profitability by leveraging ENVASS and I4.0TEC. This research also contributes to developing an ethical business model for the circular economy.

A facilitating framework for a developing country to adopt smart waste management in the context of circular economy

To achieve higher standards of sustainability, the waste management sector now requires the incorporation of circular economy (CE) principles. However, an easy transition toward the particular goal would require the use of smart waste technologies. To achieve the aforementioned goal, this study aims to provide a facilitating framework for the adoption of smart waste management in the context of CE for Pakistan. To help Pakistan transition toward the new paradigm, a total of 16 critical facilitators are evaluated based on five distinctive criteria using a novel fuzzy hybrid multi-criteria decision-making (MCDM) approach. The hybrid MCDM approach includes fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) for allocating weights to the determined criteria; whereas, the fuzzy VIšekriterijumsko kompromisno rangiranje (VIKOR) approach is used to rank the critical facilitators adopted from the secondary literature. The fuzzy approach in both cases is to deal with any kind of uncertainty during the data collection process. Based on the achieved results, the study suggests that before the application of smart waste technologies in the country, Pakistan should first focus on devising regulations that effectively address the mismanagement of waste produced in the country. Also, the industries in the country need to become more responsible and should adopt environmental management systems that foster waste minimization. Lastly, the country in the third phase should focus on the wide application of digitalization both in the streams of ICT and IoT, for collecting, sharing, and receiving waste data. The study further provides policy recommendations to the respective stakeholders that will help the country achieve zero-waste CE.