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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.

Purpose The purpose of this paper is to provide valid and reliable constructs for lean manufacturing (LM) for assessing its implementation level in order to target areas of improvement. Design/methodology/approach Based on an extensive review on LM literature and content validity assessment from practitioners and academicians, nine LM constructs were identified. Measurement items for each construct were developed to become a complete questionnaire. The questionnaire booklets were distributed to large and discrete manufacturing companies in Indonesia. Out of 1,000 survey questionnaires sent, 236 usable responses were returned giving response rate of 23.60 percent. Subsequently, an empirical assessment on the constructs was done by using structural equation modeling approach. Findings The study identified the valid and reliable LM constructs, consisting of nine LM constructs and 64 measurement items. The study found that all the constructs are complementary and mutually supportive with each other. Indeed, it suggests the holistic implementation of all the LM practices. Research limitations/implications Owing the time and resource constraint, this study only involved large and discrete process manufacturing industries in Indonesia. Hence, the generalization of the result is slightly limited. More studies in several different contexts are required. Practical implications This study provided a valuable tool for researchers for gaining deeper understanding regarding the LM and its implementation. For practitioners, it is useful to evaluate the degree of LM employment in their companies, to target area of improvement, as well as to take possible actions in attempting to enhance the organizational performance. More importantly, practitioners should adopt all the LM practices in a holistic manner. Originality/value This study is the first attempt to develop LM constructs for evaluating the LM implementation in Indonesia.

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.