The supply chains shaping their distribution networks become more diverse as companies respond to global markets’ stringent criteria. This is also counterproductive to the visibility of the supply chain within the company and can adversely affect the organization’s core business. This paper attempts to evaluate how organizations can benefit from introducing Digital Twins to enhance their logistics supply network visibility. Additionally, deployment issues and technologies supporting Digital Twins were reviewed. This study used ATLAS.ti 9 software tools to save, classify, and evaluate the data for this analysis to systematically review the literature. We reviewed, compiled, and sorted papers from 227 publications for this article and then recognized 104 as critical to the work scope; this analysis’ quest date was set from 2002 to 2021. This article represents the first attempt at dealing with the issue of supply chain visibility through the Digital Twins in the logistics field. The research outcomes found that Digital Twins would help companies develop predictive metrics, diagnostics, projections, and physical asset descriptions for their logistics. This study also suggested some steps to overcome the challenges in implementing a Digital Twins in the logistics industry. For researchers, this review offers the possibility to unify and expand existing solutions and to identify links and interfaces that are still needed. As for managerial implications, this study can be used to identify future strategies and technologies to fulfil certain logistics tasks and develop new technological solutions for current and future demands.

Purpose: – This study aims to investigate the relationship between lean practices, operations performance (OP), and business performance (BP). Design/methodology/approach: – This survey-based study was a cross-sectional study. The samples were drawn by using stratified random sampling procedure from large Indonesian manufacturing companies based on the directory provided by the Data and Information Center of Indonesian Ministry of Industry with the final number of respondents of 139. Four main hypotheses were developed and tested statistically by applying multivariate data analyses. Findings: – The results provided evidence that lean practices should be implemented holistically. Lean practices have a positive and significant impact on both OP and BP. Moreover, OP partially mediates the relationship between lean practices and BP. Research limitations/implications: – The data used in this survey represent self-reporting by mainly the middle or top management in production. Practical implications: – This study contributes to the lean manufacturing (LM) body of knowledge by identifying the relationships between the LM practices, OP, and BP. Understanding these relationships will help practitioners in making better decisions in manufacturing organizations as well as enable application of the concepts in this study to other contexts such as service organizations. Originality/value: – Although there are a growing number of anecdotal and empirical evidences in favor of LM in manufacturing environment, there has been almost no theory-building and methodologically rigorous research examining the link between LM, OP, and BP. This study is addressed to fill this gap.

Bio-plastics are rapidly growing in popularity, and many new techniques and approaches are emerging as a result of intensive research and development (R&D) activities. Many industries worldwide are installing their new production capability. Bio-plastics have attracted political leaders’ interest, especially in light of the evolving bio-economic orientation, through their use of renewable resources and their effects on sustainable growth. Related market determinants are defined, classified, and used as a base for their own estimates. The evolution of global production capacity is modeled annually for the timeframe up to 2030 by applying a system dynamics strategy. For a long-term forecast to catch the inherent volatility, various scenarios are identified and added to the model to represent different trends in the price of gross domestic product (GDP), oil, and bioplastic feedstock. Thus, our findings show the sensitivity in the macro-economic climate of the bioplastics sector. The simulations are completed by a debate on the regulatory environment and its future effect on industry development at the European level. The findings show considerable potential for development but are vulnerable to political and economic impacts.

Information and Communication Technology (ICT) is seen as a way to enhance knowledge collection in the construction sector. Although the theoretical benefits of ICT implementation have been clarified, realizing such benefits is insufficient. This paper attempted a systematic analysis of the literature using ATLAS.ti 9 software to save, identify, and analyze this study’s data. A total of 102 articles were actively reviewed, including 82 Scopus journals and 20 conference papers published from 2003 to 2020. In this article, from a construction industry point of view, the ICT adoption process is considered as an interaction between technology, task, and an individual from a construction industry perspective. While ICT is acknowledged as a source of aggressive gain by both practitioners and scholars, ICT’s sole presence would definitely not guarantee achievement in the industry’s ICT approval. Companies cannot grasp the full benefits of ICT, except that users are able to adopt the technology. Hence, the issues related to ICT adoption need to be examined.

Purpose: Contradictory findings regarding the implication of Lean manufacturing (LM) implementation to business performance (BP) have been observed in prior studies. Hence, more studies are required to be capable of finding the status of LM implementation and its impacts on BP. Accordingly, this study examines and scrutinizes the effects of LM practices on the enhancement of BP from a developing country standpoint.Design/methodology/approach: This empirical study uses a survey-based quantitative data collection approach through a cross-sectional research design. A total of 139 large manufacturing companies in Indonesia participated, selected through stratified random sampling technique. Three hypotheses regarding the effect of LM on BP were examined.Findings: The results empirically reveal that comprehensive implementation of LM practices is necessary. Also, this study unravels that high BP (in terms of profitability, sales and customer satisfaction) is dependent upon the comprehensive implementation of LM practices. In other words, LM practices are not recommended to be implemented as a subset.Research limitations/implications: Although this study is free from the common method bias as an implication of self-reporting by single respondent from one company, future researchers should consider of collecting data from multiple individuals in one company. Additionally, due to the study conducted in limited industries and large manufacturing firms, the results may not be applicable in other industries as well as in small and medium enterprises.Practical implications: This study has further confirmed and established the LM–BP relationship. In line with the complementarity theory, it provides an insight that all the LM practices should be implemented simultaneously in a holistic manner because they are mutually supportive. In such a situation, piecemeal adoption is highly not recommended.Originality/value: This study emphasizes on how LM contributes to the superior BP. Meanwhile, little attention has been paid to investigate the LM and its implication on BP from a developing country standpoint. Thus, this study is initiated to fill the gap.