The evolution of intelligent manufacturing has had a profound and lasting effect on the future of global manufacturing. Industry 4.0 based smart factories merge physical and cyber technologies, making the involved technologies more intricate and accurate; improving the performance, quality, controllability, management, and transparency of manufacturing processes in the era of the internet-of-things (IoT). Advanced low-cost sensor technologies are essential for gathering data and utilizing it for effective performance by manufacturing companies and supply chains. Different types of low power/low cost sensors allow for greatly expanded data collection on different devices across the manufacturing processes. While a lot of research has been carried out with a focus on analyzing the performance, processes, and implementation of smart factories, most firms still lack in-depth insight into the difference between traditional and smart factory systems, as well as the wide set of different sensor technologies associated with Industry 4.0. This paper identifies the different available sensor technologies of Industry 4.0, and identifies the differences between traditional and smart factories. In addition, this paper reviews existing research that has been done on the smart factory; and therefore provides a broad overview of the extant literature on smart factories, summarizes the variations between traditional and smart factories, outlines different types of sensors used in a smart factory, and creates an agenda for future research that encompasses the vigorous evolution of Industry 4.0 based smart factories.

Purpose: Fashion supply chain research has identified two important issues of sustainability management and risk management. However, investigation of these issues is relatively sparse and has primarily been independent with little combinatory research, despite their important interrelationships. This paper addresses that gap by critically reviewing extant literature to synthesise important sustainability risk issues in fashion supply chains and proposing an empirical research agenda. Practical Implications: This paper highlights important issues in sustainability risk management for fashion supply chains and presents an agenda for future empirical research.Originality/value: This paper contributes by providing a combinatory synthesis of sustainability and risk management in fashion supply chain literature and an agenda for future empirical research.

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Over the past few years, the circular economy (CE) concept has captured considerable attention from researchers and practitioners as a potential solution for social, economic, and environmental challenges. But in literature, limited engagement has been given to explore the CE initiatives, particularly in the agri‐food supply chain (AFSC). This paper aims to address this gap by critically reviewing the existing literature and identify the drivers and barriers for implementing the CE in the AFSC. This study uses a systematic literature review approach to critically analyse the current literature to develop future empirical research areas. The popularity of the CE drivers and barriers in the AFSC following the number of times they appeared in the research studies is examined. It shows that environmental (67%), policy and economy (47%), and financial benefits (43%) are the three top drivers. However, institutional (64%), financial (48%), and technological risks (40%) are the top three barriers in implementing CE practices in the AFSC. It is observed that there is an utmost need for international communities to introduce internationally accepted standards and frameworks for CE practices to be used globally to eliminate waste, particularly in the agriculture sector. Moreover, government intervention to stimulate CE initiatives plays a critical role in the transition process.

Industry 4.0 (I4.0) technologies have been highlighted in recent literature as enablers of servitisation. Simultaneously, businesses are advised to implement a circular economy (CE) to bring new opportunities. However, it is pertinent to mention that little attention has been given to assess the role of I4.0 in adopting the CE and servitisation in a fully integrated manner. This research fills this gap by developing a conceptual framework through a systematic literature review of 139 studies investigating the relationship between the I4.0, CE, and servitisation. This study identifies the impact of these variables on a firm’s operational and financial performance (revenue stream, growth, and profitability). Our research findings advocate that adopting I4.0 technologies to the business and manufacturing model enables sustainability, energy and resource efficiency while enhancing performance and offering innovative products through smart services. Thus, firms must systematically adopt I4.0 technologies to support a CE model that creates value through servitisation. This study identifies the research gaps that are unexplored for practitioners and future researchers while providing insight into the role of I4.0 in implementing CE in the servitisation business model.