PurposeThe current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.Design/methodology/approachIn this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.FindingsThe study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.Research limitations/implicationsIn this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.Originality/valueThe present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.

PurposeDuring the past decade, the green workplace has attracted the attention of academics and industry alike. As a result, new research areas like green human resource management (GHRM) started emerging. Green workplace means greening of traditional business functions, namely, human resource management, marketing, operations and supply chain. GHRM can play a strategic role in enabling organizations to implement and formulate sustainable strategies and help them achieve corporate sustainability. This paper helps understand the GHRM scholarship and provides an up-to-date account of GHRM practices.Design/methodology/approachIn this paper, the authors have adopted the bibliometric analysis method to analyse and draw inferences from 247 articles retrieved from the Web of Science (WoS) database for the time horizon of almost two decades: 2005 to June 2021. The methodology's schematic view comprises four steps: data collection, data analysis, data visualization and interpretation. The present study intends to understand GHRM scholarship using Bibliometric R-package and VOSviewer software.FindingsThe study offers some interesting insights that may help scholars, line managers and top management to conceptualize the GHRM practices in their organization, which is currently limited to a few HR practices (hiring, training and reward), geographies, developed countries and industries. These can be extended to other HR practices (e.g. industrial relations). In addition, this paper contributes to the GHRM literature in identifying the keywords, authors, journals, intellectual, conceptual and social structure.Research limitations/implicationsThe study underpins the research in the area of GHRM in order to understand the trends on this topic over the past 17 years in terms of prolific authors, most impactful journals, key themes and the field's intellectual and social structure. The study indicates that this field is still in its development stage. Hence, there is a need for more arduous research on the topic to help develop a better understanding of this new field.Originality/valueThe paper helps understand green practices in human resource functions, focusing on corporate sustainability goals. It helps the line managers and top management make GHRM a central function for achieving sustainability goals. In addition, these findings can be a road map for the researchers to investigate the field of GHRM further.

The following statistical study shows the results of an investigation of supply chain innovation practices of Indian Cement Manufacturers, which are a significantly large and quickly advancing industry in India. Aside from being a study of adoption of supply chain innovation practices (SCIP) in an emerging super power (India) the benefits of supply chain innovation (SCI) are discussed including the major advances in supply chain management. The statistical study compared innovation supply chain practices (like JIT, WMS, CPFR, and others) in 125 large cement firms to their financial performance measures (ROI, market share, EBIDTA, customer satisfaction, productivity). The resulting correlations showed very high levels of reliability and adequacy, and were uses to make conclusions on which supply chain innovation practices had a positive impact on company financial performance. The conclusions are somewhat astounding with the interesting finding that some innovation practices do not support firm performance and maybe should be avoided; while others ICS practices are shown to support firm performance to a high degree.

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PurposeDuring the past decade, the necessity to integrate manufacturing and sustainability has increased mainly to reduce the adverse effect on the manufacturing industry, transforming traditional manufacturing into smart manufacturing by adopting the latest manufacturing technology as part of the Industry 4.0 revolution. Smart manufacturing has piqued the interest of both academics and industry. Manufacturing is a foundation of products and services required for human health, safety, and well-being in modern society and from an organizational standpoint. This paper uses bibliometric analysis better to understand the relationship between smart manufacturing and sustainability scholarship and provide an up-to-date account of current industry practices.Design/methodology/approachThis paper used the bibliometric analysis method to analyze and draw conclusions from 839 articles retrieved from the Scopus database from 1994 to February 2022. The methodology is divided into four steps: data collection, analysis, visualization, and interpretation. The current study aims to comprehend smart manufacturing and sustainability scholarship using the bibliometric R-package and VOSviewer software.FindingsThe study provides fascinating insights that may assist scholars, industry professionals, and top management in conceptualizing smart manufacturing and sustainability in their organizations. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 317 journals in 2021 with an increasing publication annual growth rate of 21.9%. The United Kingdom, India, the United States of America, Italy, France, Brazil and China were the most productive countries in terms of the total number of publications. Technological Forecasting and Social Change, Journal of Cleaner Production, International Journal of Production Research, Production Planning and Control, Business Strategy and the Environment Technology in Society, and Benchmarking: An International Journal emerged as the top outlets.Research limitations/implicationsThe research in the area of smart manufacturing and sustainability is underpinned by this study, which aims to understand the trends in this field over the last two decades in terms of prolific authors, most influential journals, key themes, and the field's intellectual and social structure. However, according to the research, this field is still in its early stages of development. As a result, a more in-depth analysis is required to aid in the development of a better understanding of this new field.Originality/valueThe paper focuses on integrating smart manufacturing and sustainability through increased interest from 2015 onwards through the literature review. Specific policies should be formulated to improve the manufacturing sector's competence. Furthermore, these findings can guide researchers who want to delve deeper into smart manufacturing and sustainability.