Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method

This chapter presents a novel mathematical model that developed an environmental impact on Sustainable Supply Chain (SSC) design via the Internet of Things (IoT). IoT provides information about a product when they return and plays a significant role in the recovery process of Supply Chain Management (SCM). The chapter outlines the literature review of Sustainable Supply Chain Management (SSCM) and Reverse supply chain based on IoT. It also presents problem definition and model assumptions. The chapter discusses a case study which illustrates a computation experiment and model results. It describes the importance of digitalization and the influence of IoT in the overall SSCM. IoT influences in the SSC is at the initial stage where the study suggests that supply chain industry should step up to extract the benefits of next-generation technologies. The chapter proposes a multi-components, multi-echelon, and capacitated linear mathematical model to solve the SSC problems which consider the sustainable impact on SCM design.

PurposeThe purpose of this paper is to give an up-to-date and structured insight into the literature published during the past decade on sustainable green supply chain management. It also suggests trends for future research based on the research issues identified through systematic and comprehensive analysis of previous studies in the area of green and sustainable supply chain management.Design/methodology/approachA state-of-the-art literature review is carried out by systematically collecting the existing literature over a period of 10 years (2005-2014) and categorizing it on the basis of attributes such as stages in supply chain, methodology and the industries/sectors under consideration. The classification of literature is also done according to the geographic region and year of publication.FindingsThere has been an increased interest among researchers and practitioners in the area of sustainable green supply chain management in the past decade. A need for achieving sustainability through adoption of greener practices has been universally felt, owing to an increasing environmental and ecological complexity. The review reveals that there exists a need to address behavioural issues like human resource management and supply chain partner relationship management. Moreover, reverse logistics, closed-loop supply chain management and waste management are areas that need special focus to achieve environmental sustainability.Research limitations/implicationsThe current review focuses on research trends in the past 10 years only. Moreover, papers from only good quality, peer-reviewed journals are considered in the study.Originality/valueMost of the previous reviews have either focused on specific issues related to sustainable supply chains only or green supply chains. The present study collectively takes into consideration papers both from green supply chain management as well as from sustainable supply chain literature that have a prime focus on environmental sustainability.

PurposeThe poor leadership style is a key obstacle to the effective implementation of Industry 4.0 technologies. To successfully apply the Industry 4.0 technologies, which can enhance the sustainability of firms, senior management needs to be inspiring and transformational. On the other hand, numerous factors can hinder the Industry 4.0 transition and “Circular Supply Chain (CSC)” transformation. Therefore, the main purpose of this study is to evaluate the related barriers of CSCs in the era of Industry 4.0 transition.Design/methodology/approachThe current study developed an innovative decision-making approach with the help of the “Combined Compromise Solution (CoCoSo)” method and “Criteria Importance Through Intercriteria Correlation (CRITIC)” method on the “q-Rung Orthopair Fuzzy Sets (q-ROFSs).” CRITIC in this combined method was used to predict the importance or weighting degrees of the CSCs barriers in the age of Industry 4.0 transition.FindingsThe results of this study found that the absence of knowledge about the Industry 4.0 technologies and circular approaches was the first barrier followed by the problems associated with data security in relationship management in circular flows, the deficiency of knowledge regarding the data management among stakeholders and the lack of awareness about the potential benefits of autonomous systems in labor-oriented “End-of-Life (EOL)” activities for CSCs in the era of Industry 4.0 transition.Research limitations/implicationsA limitation may be that despite the generalizability of the proposed framework, the results may differ when it is implemented in different sectors. By emphasizing the obstacles to sustainable operations of supply chains (SCs) in the context of circular economy (CE) and Industry 4.0, researchers working in the same domain may be encouraged to find ways to remove such obstacles in different settings. As suggested in this study, the priority of various barriers helps researchers suggest effective strategies for the sustainable development of companies within the current dynamic business atmosphere.Practical implicationsThe findings of this paper can aid industry practitioners in fixing their attention on the digitization or automation of their systems in the context of sustainability or resource circularity. Note that within the current context of CE, one of the crucial issues is how to conserve the existing resources; the answer to this question can save the environment.Originality/valueThe current paper proposed a new multi-criteria decision-making method using q-ROFSs to analyze, rank and evaluate the CSC barriers in the age of Industry 4.0 transition. To this end, a new decision-making approach with the help of CRITIC and CoCoSo methods on q-ROFSs called q-ROF-CRITIC-CoCoSo was introduced to evaluate the CSCs barriers in the era of Industry 4.0 transition.

The convergence of IoT and sustainability in global supply chains: Patterns, trends, and future directions

This study investigates the integration of cybersecurity practices within sustainable supply chain management, addressing the dual challenges of securing supply chains against cyber threats while advancing sustainability objectives. The research employs a systematic literature review methodology, sourcing data from peer-reviewed articles published between 2018 and 2023, across databases such as IEEE Xplore, ScienceDirect, and Wiley Online Library. The selection process involved a rigorous screening of titles, abstracts, and full texts based on predefined inclusion and exclusion criteria, focusing on works that explicitly discuss the intersection of cybersecurity and sustainability within supply chains. Key findings reveal that cybersecurity and sustainability, while traditionally viewed in isolation, are increasingly recognized as complementary facets of supply chain management. The study highlights the critical role of emerging technologies, such as blockchain, artificial intelligence, and the Internet of Things, in enhancing supply chain resilience and sustainability. Furthermore, stakeholder engagement is identified as crucial in developing effective cybersecurity strategies that align with sustainability goals. The future landscape of cybersecure sustainable supply chains is characterized by both challenges and opportunities, necessitating continuous innovation and collaboration across industries and with governmental bodies. Strategic recommendations for industry leaders and policymakers emphasize the importance of fostering a culture that values cybersecurity and sustainability, investing in technology sharing, and developing comprehensive regulatory frameworks. In conclusion, this study underscores the necessity of integrating cybersecurity practices within sustainable supply chain management, offering insights into navigating the complexities of this integration to achieve resilient, transparent, and responsible supply networks. Keywords: Cybersecurity, Supply Chains, Supply Chain Management, Sustainability.

In an era where environmental and social pressures on companies are increasing, sustainable supply chain management is essential for the efficient operation and survivability of the organizations (members of the chain). Digital transformation and the adoption of new technologies could support the development of sustainable strategies, as they support supply chain processes, decrease operational costs, enable control and monitoring of operations and support green practices. The purpose of this paper is to explore the relationship between sustainable supply chain management and digital transformation through the adoption of specific technologies (Blockchain technology, big data analytics, internet of things). It aims at theory building and the development of a conceptual framework, enabling the explanation of under which circumstances the above combination could lead to the development of sustainable performances. It also aims to examine how companies can increase their competitive advantage and/or increase their business performance, contributing both to academics and practitioners. After conducting a literature review analysis, a significant gap was detected. There are a few studies providing theoretical approaches to examining all three pillars of sustainability, while at the same time analyzing the impact of big data analytics, internet of things and blockchain technology on the development of sustainable supply chains. Aiming to address this gap, this paper primarily conducts a literature review, identifies definitions and theories used to explain the different pillars of flexibility, and examines the effect of different technologies. It then develops a theoretical conceptual framework, which could enable both academics and practitioners to examine the impact of the adoption of different technologies on sustainable supply chain management. The findings of this research reveal that digital transformation plays an important role to companies, as the combination of different technologies may lead to the development of significant capabilities, increasing sustainable performances and enabling the development of sustainable strategies, which can improve companies’ position in the market.

In this paper, I aim to understand how IOT technology can improve the development of smart cities’ infra- structures and alleviate the strains of population growth. In order to understand this inquiry, I will begin by defining IOT technology. Then I will examine the function and capabilities of IOT technology and how it helps smart cities’ urban devel- opment in areas such as architectural, agricultural, safety and surveillance, and health and sanitary needs. I will develop a prognosis that provides targeted solutions for how IOT can specifically reduce urban population strains and challenges in particular urban sectors, and analyze the environmental implications of IOT technology. Lastly, in the discussion section, I propose applying sustainable frameworks, that can incorporate IOT technology, and showcase IOT weaknesses. This research concludes with describing the impact of implementing IOT technologies to address specific urban infrastructure and overcrowding problems. It can allow readers to view the interdisciplinary potential of sustainability with the use of technology, environmental science, and engineering, and social science through urban development and planning. Internet of things technology, through a cross disciplinary approach, can alleviate and resolve humanity’s rising problems.

The Internet of Things (IoT) concept is evolving rapidly and influencing new developments in various application domains, such as the Internet of Mobile Things (IoMT), Autonomous Internet of Things (A-IoT), Autonomous System of Things (ASoT), Internet of Autonomous Things (IoAT), Internet of Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc. that are progressing/advancing by using IoT technology. The IoT influence represents new development and deployment challenges in different areas such as seamless platform integration, context based cognitive network integration, new mobile sensor/actuator network paradigms, things identification (addressing, naming in IoT) and dynamic things discoverability and many others. The IoRT represents new convergence challenges and their need 98to be addressed, in one side the programmability and the communication of multiple heterogeneous mobile/autonomous/robotic things for cooperating, their coordination, configuration, exchange of information, security, safety and protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrency require new ideas for integrating the intelligent “devices”, collaborative robots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing, self-repair of resources, changing resource state, (re-) configuration and context based IoT systems for service implementation and integration with IoT network service composition are of paramount importance when new “cognitive devices” are becoming active participants in IoT applications. This chapter aims to be an overview of the IoRT concept, technologies, architectures and applications and to provide a comprehensive coverage of future challenges, developments and applications.

The present study considered the internet of things major work in agriculture grassland. The initiation of Internet brought a new viewpoint to all the businesses. The conventional models were refurbished and enhanced for large-scale adoption. Advancements in technology lead to the Internet of things, which is an extension of the network of computers to the network of smart devices.In this study the awareness of Internet of Things (IoT) in the field of agriculture. IoT is a revolutionary technology that represents the future of computing and communications. It provides a complete review of its framework, considerations and implications in implementation. The paper intends to brief the reader about the IoT technology and its operational requirements in agricultural practices.The major need of IOT in agriculture is that the world population is set to touch 9.6 billion by 2050. So, to feed this much population, the farming industry must embrace IoT. Against the challenges such as extreme weather conditions and rising climate change, and environmental impact resulting from intensive farming practices, the demand for more food has to be met.The working of Agriculture IoT is discussed along with some real-world examples. The use of IoT in the fields and orchards will help the farmers reap the benefits of its various technologies.The major scope of our research is IOT in agriculture is highly recommended and is very effective when looking into the long term benefits like good production and automation. When agriculture is integrated with IOT the data collected in the process will be highly efficient in making more progress towards the improvement of this field which can save many from financial troubles. Keywords: Internet of Things (IoT), Agriculture IoT, Information and Communication Technology (ICT), Smart Agriculture, Implementation, Cloud Computing, Big Data, FarmBot DOI : 10.7176/JIEA/9-7-02 Publication date: December 31 st 2019

Motivated by the low sustainability index and pressure to meet the global demand for eco-friendly crude palm oil (CPO) in the pandemic-ridden environment, this research aims to investigate the implications of the COVID-19 pandemic to assess the drivers of sustainable supply chain management (SSCM) of the Indonesian CPO sector to tackle supply chain disruptions. To achieve this aim, the study seeks to determine the sustainability drivers to accommodate the pandemic-ridden environment and if sustainability indicators can help improve the supply chain management of the CPO sector. A methodology is divided into two interrelated parts: first, based on a careful review of extant literature of the CPO sector and sustainable supply chain in the light of pandemic. The proposed methodology is then tested using the response data of 108 oil mills' representatives collected through survey questionnaires and analyzed using statistical tools of reliability, distribution, Kaiser–Meyer–Olkin (KMO), Confirmatory Factor Analysis (CFA), and diagnostic tests of CFA. The findings designate the environmental costs, rapidity, and adaptability as core economic indicators; the social and workforce development, health, and safety workforce development and consumer issues as crucial social indicators; while energy and material efficiency, management of waste and emissions, and sustainable suppliers as the best environmental indicators. This study provides a holistic platform on the implications of the pandemic to assess the SSCM of the CPO sector. These findings are expected to aid the industrial managers in employee skills and health protocols, customer service, and environmental management. The study is also anticipated to guide the supply-chain partners and government policymakers to take initiatives on SSCM in the context of the pandemic.

The proliferation of Internet of Things (IoT) technologies has revolutionized various aspects of modern life, including business operations and government services. This research paper delves into the intersection of IoT technologies and tax compliance, aiming to elucidate the opportunities, challenges, and policy implications arising from their integration. Through a comprehensive review and analysis of existing literature, this paper seeks to provide insights into the transformative potential of IoT in tax compliance, while also highlighting potential hurdles and offering policy recommendations. IoT technologies offer a myriad of opportunities to enhance tax compliance processes for both taxpayers and tax authorities. The ability of IoT devices to collect real-time data and automate various tasks can streamline recordkeeping, improve accuracy in reporting, and enable proactive compliance measures. For taxpayers, IoT-enabled systems can simplify tax documentation, minimize errors, and provide timely reminders for compliance deadlines. Likewise, tax authorities can leverage IoT data for better monitoring, enforcement, and risk assessment, thus enhancing overall tax administration efficiency. However, the integration of IoT in tax compliance also presents notable challenges. Privacy and data security concerns emerge as paramount considerations, given the sensitive nature of financial information involved in taxation. The vast amount of data generated by IoT devices also raises questions regarding data governance, ownership, and liability. Moreover, the digital divide may exacerbate existing disparities in access to IoT technologies, potentially marginalizing certain segments of the population and hindering equitable tax compliance. In light of these opportunities and challenges, policymakers must carefully design regulations and guidelines to harness the benefits of IoT while mitigating associated risks. Clear standards for data protection, encryption, and user consent are essential to safeguard taxpayer privacy and instill trust in IoT-enabled tax compliance systems. Additionally, implementation of measures to bridge the digital divide and ensure equitable access to IoT technologies, thereby promoting inclusivity in tax compliance efforts. Furthermore, tax authorities need to develop robust frameworks for data governance, encompassing data collection, storage, sharing, and usage. Collaboration between public and private sectors is crucial to foster innovation in IoT-based tax compliance solutions while adhering to regulatory requirements and ethical principles. In conclusion, the integration of IoT technologies in tax compliance holds immense potential to revolutionize the way in which taxes administered and enforced. However, realizing this potential necessitates a holistic approach that addresses technical, legal, and socio-economic considerations. By embracing innovation while safeguarding privacy and inclusivity, governments can harness the transformative power of IoT to foster more efficient, transparent, and equitable tax systems.

In recent years, environmental sustainability has stimulated enterprises worldwide to not only develop green and sustainable innovations but also to move toward green and sustainable supply chain management. This study integrated the ideas of green supply chain management (GSCM) and sustainable supply chain management (SSCM) to define sustainable green supply chain management (SGSCM). Previous studies on GSCM/SSCM have contributed to research and practice, but few have explored the antecedents and consequences of GSCM/SSCM simultaneously. To address this research gap, we linked ecological modernization (EM) theory with SGSCM and sustainability performance to build a comprehensive research model. A total of 300 valid questionnaires were collected from electrical and electronics firms in Taiwan. The empirical results demonstrated that awareness of and pressure to engage in EM significantly positively affected SGSCM. Moreover, SGSCM significantly positively influenced sustainability performance (i.e. environmental, economic, and social performance). These findings should convince enterprises to actively promote SGSCM.

This paper discusses the antecedences and consequences of supply chain transparency (SCT) in sustainable agrarian supply chain management using partial least squares regression in an empirical sample with 131 supply chains with lead firms in German-speaking countries (Germany, Austria and Switzerland). We investigated the effect of such structural antecedences as disintermediation, as well as the effect of governance tools similar to intensive communication, the integration of third parties in supply chain governance or the use of formal specifications on SCT. We found that all these antecedences are helpful in increasing SCT, while low developed countries of origin significantly reduced SCT. Then, the effects of SCT on the four main performance dimensions in sustainable supply chain management (SSCM), i.e. social, ecological, and operational performance and long-term relationship success, were verified. Higher SCT improves all four dimensions significantly, while the effect on operational performance is lowest. Supply chain transparency turns out to be a prerequisite or a basic indicator of good management in SSCM in agri-food supply chains.

In today's increasingly complex global trade landscape, sustainable supply chain management has become a pressing concern. Traditional methods are proving inadequate to meet the challenges posed by the length, complexity, and global impacts of modern supply chains. In this context, emerging digital technologies such as Blockchain and the Internet of Things (IoT) offer promising solutions to enhance transparency, reliability, and efficiency in supply chain operations. This chapter explores the potential of Blockchain and IoT technologies in driving sustainable practices within supply chains. Through a comprehensive review of existing literature and real-world case studies, it examines how these technologies can mitigate environmental and social risks, ensure ethical standards, and improve overall supply chain sustainability.

This short paper describes a research project which aims to co-design prototype Internet of Things (IoT) technologies with staff and students at a higher education institution in the UK. However, rather than adopting a technical approach, which would perceive devices simply as ‘problem solving’ instruments, this project seeks to engage with critical approaches to IoT through the use of speculative methods (Ross 2016), such as ‘design fictions’ and ‘objects-to-think-with’. This approach is intended to surface crucial conceptual and ethical issues for education, such as the radical intensification of digital networks potentially engendered by this technology, and the prospect of increasing surveillance and diminishing privacy in an era of ubiquitous connection. These are questions too often overlooked in the habitual forecasting and advocacy of ‘new’ educational technology, but also in the engrained approaches to ‘solutionist’ (Morozov 2013) technology design. This paper will outline the two initial stages of this ongoing project: firstly, the development of preliminary IoT provocations; and secondly, the outcomes from co-design workshops with staff and students. The preliminary IoT devices include: campus motion and sound-level sensors; live public PC login feeds from across the campus; collated social media feeds from distance students; wearable smart watches configured to receive feed data; a smart phone app with interactive functions that can respond to feed notifications; and a web-based interface to visualise the range of data feeds. These devices were produced to demonstrate specific, and provocative, educational applications of IoT technologies, and to encourage responses from workshop participants. The second stage will describe outcomes from two co-design workshops: the first with campus-based and distance students; and the second with teaching staff at the institution in question (scheduled for November 2017). Grounded in the themes of ‘presence’, ‘community’, and ‘surveillance’, these workshops are designed to elicit critical responses to IoT technologies in higher education through the development of speculative designs that 1) enact key issues for students and teachers by modelling practice, and 2) offer creative alternatives to established design cultures by resisting, and obfuscating (Brunton & Nissenbaum 2013) the drive for ‘big data’ collection and its promoted efficiency gains. Drawing on these designs, this paper will conclude with, not only the key challenges that students and teachers perceive in the networked futures of higher education, but also creative visions for alternative technologies that can approximate new ways of connecting the humans and ‘things’ involved in education.