PurposeThis research examines the relationship between green intellectual capital (GRIC), blockchain technology (BCT), green manufacturing (GM) and sustainable performance in large manufacturing firms.Design/methodology/approachCross-sectional data were gathered from manufacturers, and partial least square structural equation modeling was employed to examine the proposed hypotheses.FindingsThe outcomes elucidated that GRIC, which includes green human capital (GRHC), green structural capital (GRSC) and green relational capital (GRRC), has enabled the implementation of GM and BCT. Furthermore, GM and BCT have a positive relationship with all three dimensions of sustainability performance.Research limitations/implicationsThe findings provide a policy framework for practitioners, decision makers and legislators to enhance GM in firms as its implementation gives a competitive position, enhances profitability, enable to meet customers' demands and improves societal safety and help preserving natural environment.Originality/valueThe current research is novel in that it discusses in depth mechanic on GRIC, BCT and GM. This study enhances the comprehension of the intellectual capital-based view and dynamic capabilities theory by postulating that GRIC has a significant role in the adoption of GM and BCT, which further affects sustainable performance.

ABSTRACT Climate‐mitigation technology diffusion (CMTD) supports the development and dissemination of technologies that improve production efficiency, reduce environmental waste, and promote resource sustainability. This study investigates how CMTD is associated with digital services, patent technologies, copper production, regulatory quality, and financial globalization in the United States. Using quarterly data from 1996 to 2022, the analysis applies wavelet quantile correlation and nonparametric quantile‐causality techniques. The findings show that digital services are positively associated with CMTD and may improve technological coordination and transparency, although they also involve challenges related to energy use, e‐waste, and implementation costs. CMTD is predominantly negatively associated with copper production across different quantiles and time horizons. Patent technologies are positively associated with CMTD, particularly at higher quantiles, indicating stronger dependence under favorable innovation conditions. Regulatory quality is negatively associated with CMTD across several quantiles and time horizons; however, this finding represents an inverse statistical relationship rather than a direct structural effect. Financial globalization is mainly positively associated with CMTD by facilitating access to international capital, technological knowledge, and global financial networks. The findings highlight that successful CMTD depends on coordinated technological, institutional, and financial policies whose effectiveness varies across different diffusion regimes and time horizons, providing evidence for more targeted and adaptive environmental policy design.

This study examines on how the circular supply chain (CSC) studies and its essential components enhance the sustainability of smart cities. It takes an interdisciplinary approach, blending the systematic review and social network analysis technique utilizing machine learning to identify the research paths. This study integrated the Biblioshiny application from the R package and conducted social network approach using factorial analysis based on machine learning techniques. The dataset from Scopus and Web of Science was used to develop beneficial relationships among circular economy practices, sustainability, and emerging smart city projects. The approach aids by principal component analysis to execute keyword parameters. The finding highlights the urban planners, technology developers, legislators considering implementing reverse logistics, remanufacturing and recycling to improve resource efficiency and reduce waste. The outcomes emphasize the future studies to broaden multidisciplinary analysis and practical applications, filling knowledge gaps and enhance the sustainable urban initiatives.

Managing sustainable supply chain operations in dynamic three-dimensional (3D) environments is a significant challenge. Unmanned Aerial Vehicles (UAVs) offer transformative solutions to supply chains. This study aims to enhance sustainable supply chain management by considering new opportunities for optimizing UAV networks. The primary objective is to develop advanced path planning and routing algorithms that improve the quality of service in a supply chain. We present a novel Sequential Block Path Planning (SBPP) method, a modified version of the heuristic D* Lite algorithm, to achieve the shortest logistics path with reduced computation time. We utilize queuing theory for task scheduling and UAV assignments within a supply chain network while ensuring efficient and effective task distribution. The results demonstrate that the proposed combination of routing and path planning algorithms significantly improves performance in 3D environments, resulting in shorter logistics paths, enhanced quality of service, and reduced computation time. The outcomes of this study represent a substantial contribution to UAV network management, particularly in terms of efficiency and operational effectiveness. The novel approach utilized in this study contributes to the emerging UAV field in supply chains and enhances sustainability and operational efficiency in logistics networks.

Companies worldwide are moving towards sustainability by focusing on its three dimensions: environmental, economic, and social sustainability. This study explores how sustainable supply chain management (SSCM) takes the changing role to affect these three dimensions. Since organizations vary in size, we post and test relationships regarding how firm size can impact the implementation of SSCM practices as a moderator. We posit an empirical research model and test this using structural equation modeling with survey data from 392 managers across various Jordanian manufacturing firms. This study assessed the link between five categories of SSCM practices and TBL performance. We found that firm size is critical and moderates the positive SSCM relationship with economic and social performances. Results shed new light on SSCM and its impacts on environmental, economic, and social performance. According to the study findings, environmental management practices and supply chain integration influenced all sustainability dimensions, whereas socially inclusive community practices influenced none. Furthermore, operations had an impact on economic sustainability. Finally, socially inclusive employee practices had a significant impact on both environmental and economic sustainability. Findings show that when implementing SSCM, larger firms perform better on multiple sustainability measures compared to smaller firms. The model's integration of firm size as a moderator provides additional insights regarding the SSCM construct and its change agent role in stimulating sustainable development.

PurposeResearch and interest in food loss and waste (FLW) have increased, but barriers stand in the way of firms engaging in food recovery efforts. The purpose of this study is to gain a better understanding of how firms overcome these barriers.Design/methodology/approachThis study followed a qualitative, field-study-based research design in which 23 decision-makers at food-based organizations were interviewed. Quotes were extracted and categorized to develop a conceptual model of the food recovery process.FindingsThe conceptual model that evolved helps to explain decision-making related to FLW across the following dimensions: barriers to food recovery, incentives to overcome the barriers, internal processes for engaging in food recovery and external relationships influencing internal incentives and processes. In addition, the barriers and incentives were divided into operational and managerial issues.Originality/valueBuilding on the barriers to food recovery in prior research, we explored the processes that help firms overcome these barriers. The model developed in this study is an important step toward addressing these processes and relationships. It can serve as a foundation for a variety of future studies of food recovery.

Enterprises across the globe are facing increasing pressure to effectively utilize resources and reduce costs through green supply chain practices. Emerging technology, such as blockchain technology which enables green practices, has become a contemporary industrial paradigm. However, enterprises need to build green intellectual capital to implement blockchain technology, which can be key to realizing green supply chain practices. This research examines the impact of green intellectual capital (GIC) on blockchain technology and its role in implementing green manufacturing to achieve sustainability. Partial Least Squares Structural Equation Modeling was utilized for assessing the proposed hypotheses, and cross-sectional data was accumulated from manufacturing firms. As per the results, GIC, which includes green human capital, green structural capital, and green relational capital, has a crucial role in the implementation of blockchain technology. The outcomes also indicated that the adoption of blockchain technology significantly influences green manufacturing. Moreover, green manufacturing (GM) has a substantial role in improving business sustainability. This empirical research provides a deeper understanding of how GIC and blockchain technology contribute to the implementation of GM. This research also provides guidelines that managers, policymakers, and producers can use to facilitate the incorporation of GM practice into business activities.

Purpose Debates regarding climate change risk perception (CCRP), particularly its scale and impact on social and environmental sustainability, have continued for decades. CCRP is experiencing a renaissance with an increased focus on environmentally relevant behaviors to mitigate the effects of climate change. However, CCRP lacks investigation from the employee perspective. Supported by the social exchange and value–belief–norm theories, this study aims to address the impact of employees’ CCRP on their proenvironmental behavior (PEB) via the moderating roles of environmental values and psychological contract breach. Design/methodology/approach The nonprobability convenience sampling technique was used to collect survey data from a sample of 299 employees across 138 manufacturing firms in Pakistan. Findings The results show that employees’ CCRP positively impacts their PEB and that this relationship is moderated by their environmental values and psychological contract breach. Specifically, environmental values strengthen the CCRP–PEB relationship, while psychological contract breach weakens it. Practical implications The findings of the study emphasize useful guidance for managers and practitioners as a future avenue to restructure the climate change framework by emphasizing the conditions (i.e. environmental values and psychological contract breach). In doing so, the study is beneficial for managers and practitioners in helping to increase employees’ PEB through the development of climate change action plans. Originality/value To the best of the authors’ knowledge, this study is one of the first investigations into CCRP–employees’ PEB nexus in the developing country context. The study incorporates social exchange and value–belief–norm theory, which serve as the CCRP’s theoretical underpinnings. The findings advance the new knowledge about a firm’s social responsibility to achieve the sustainable development goals outlined in the UN’s 2030 Agenda.

Digital twins (DTs) have become progressively more popular in contemporary years and may continue to get snowballing acceptance. This chapter uses the terminology Personal Health Devices (PHDs) as a simplification for the set of healthcare gadgets comprising on-body and in-body devices, i.e., wearables, injectables, implantable, ingestible, and other non-mainstream possibilities. The options for its use have increased because of the DT reframing as a living or non-living entity rather than an exact digital duplication of something tangible. In smart cities, the DT disrupts industrial processes while simultaneously extending health and well-being to drive the development of new healthcare services. A standardized DT design for health follows rules according to ISO/IEEE 11073 framework operating in a loop cycle, collecting data from personal health devices, analysing it, and delivering feedback to the stakeholder. It is possible to integrate not only X73-compliant PHDs but also non-compliant PHDs into the framework by attaching them to an X73 wrapper subsystem, as detailed in this chapter. It is also reported that a corresponding customizable mobile application has been built for any compatible device. Possible ecosystems and the X73 mobile applications must be experimented with to demonstrate the DT viability in smart societies' well-being. In order to get insights into someone's health and well-being and provide feedback to individuals and caregivers, promising outcomes and the prospective advantages of the proposed framework are given.

The Internet of Medical Things (IoMT) designates the interconnection of communication-enabled medical-grade devices and their integration into wider-scale health networks to improve patients' health. However, because of health-related systems' critical nature, the IoMT still faces numerous challenges, particularly reliability, safety, and security. This text presents (i) a comprehensive about IoMT improvement through formal methodologies provided by the cyber-physical systems community; (ii) practical applications of medical devices for both patients, staff, caretakers, and healthcare providers; and (iii) unexplored research directions and potential trends to solve uncharted research problems.

Disease mapping and epidemiology (DME) makes use of disease maps to show complex geographic data that offer a high-level perspective of public health in any specific geographic region. Epidemiology is concerned with determining the causes of illnesses, which frequently vary in frequency and spatial distribution. This variance in space provided an opportunity for Remote Sensing (RS) to make its way into Public Health (PH), as clinical researchers tried to understand the environmental and climatic parameters that contributed to disease onset. Numerous studies have proven the potential of RS to treat DME and to aid in surveillance and protective measures. When paired with spatial analysis tools developed for Geographical Information System (GIS), RS imagery has the potential to assist and guide existing disease monitoring and control schemes at local, regional, and even continental scales. Additionally, researchers have examined the variables that influence the patterns and distributions of vector-borne illnesses across a range of landscape sizes. However, the effective deployment of RS technology is contingent upon the ability of non-experts and end-users to access, collect, and evaluate remotely sensed data. The investigation of various options and choices available with RS-based DME is portrayed with vibrant research opportunities available.

The spontaneous organizational citizenship behavior towards environment (OCBE) of employees in the workplace is crucial to businesses' green development and low-carbon transition. However, it was not considered how such behavior could be encouraged for enhanced firm performance. From the natural resource-based view theory perspective, this study tests a model that investigates how green supply chain management practices, green culture, top management commitment, and OCBE, and influences firm performance. A structural equation model (SEM) was utilized to test the hypotheses using 600 survey questionnaires collected from manufacturing firms. The results show that green supply chain management indirectly affects firm performance through green culture and top management commitment. The results reveal that green culture and top management commitment positively and significantly mediate the relationship between green supply chain management and firm performance. Furthermore, the findings show that OCBE has a direct effect on firm performance. Moreover, the results highlight that OCBE has a positive moderating effect on the association between green supply chain management and firm performance. Finally, the study's findings and implications are disclosed to be useful policy instruments for organizations, administrations, and other stakeholders.

In today's healthcare, imaging is used for everything from diagnosis to surgery and follow-ups. Because most imaging modalities are digital, medical image processing must deal with massive data volumes and growing resolution. This text's main themes are visual medical information and scalability to give effective and efficient responses to numerous linked challenges. Some major strains are personalized bioimaging, virtual/augmented realities in medical visualizations, multispectral/hyperspectral images, nanoimaging, and super-resolution. For end-to-end medical cyber-physical systems (MCPSs), image processing and visualization strategies must meet new expectations. Scalable, advanced hardware and software parallelizations can help.

This chapter examines wireless medical devices within the human body to provide sensing and stimulation functions. A critical literature evaluation focuses on three categories of medical in-body devices, namely, IBs that are a) implanted within the human body (implantables), b) eaten like ordinary tablets (ingestibles), and c) injected into the human body through needles (injectables). The following IBs are reviewed in terms of design considerations, present state, and future directions. IBs provide a variety of design problems, including selecting an operating frequency, antenna design, powering, and biocompatibility. Nonetheless, IBs are opening new avenues for medical prevention, prognosis, and therapy, which soon exceed any design problems and/or concerns about their intrusive nature. IBs assist in various medical applications, including pacemakers and capsule endoscopes, as well as injectable microstimulators. As technology advances, IBs are presenting numerous new and hitherto untapped potentials in healthcare. Unobtrusive IBs may capture a plethora of physiological data from each individual's early years. This big-data strategy intends to facilitate the transition from symptom-based treatment to a proactive healthcare paradigm.

This article aims to analyze the benefits of implementing Environmental Management Systems (EMS) in accordance with the ISO 14001:2015 standard in Polish manufacturing companies. The study focuses on identifying how the internal characteristics of a company, and its financial situation, influence the variety of benefits obtained from ISO 14001 implementation. The main goal is to understand the role of EMS in the context of the broadly defined Qstrategy of sustainable development (SD) of enterprises. Filling the research gap also involves determining the factors differentiating the scale of benefits, considering both the attributes of enterprises and the parameters of their financial situation. The research methodology uses primary data, collected through a questionnaire survey of enterprises, and secondary data, including financial information. Mann-Whitney and Kruskal-Wallis statistical tests are used to analyze and evaluate the differentiation of benefits. The results indicate significant differences in perceptions of the advantages of implementing ISO 14001, depending on factors such as the enterprise’s origin of capital, the geographical scope of its activity, and its financial condition. Among the most significant benefits mentioned are compliance with legal requirements, an improved company image, increased customer numbers, and growth in operational efficiency. The article contributes to the literature on environmental management, emphasizing the importance of diversification of a company’s internal and external factors in the context of the benefits arising from EMS. The implications of this study are significant, both for the theory of environmental management and for business practices; it offers insight into how companies can maximize the benefits of implementing the ISO 14001 standard.

In this study, we examine the role of collaboration during the new product development (NPD) process. Previous NPD research has investigated issues such as the timing and extent of involvement of suppliers and the purchasing and supply management (PSM) department in the NPD process, with mixed results. A potential answer for the mixed results is whether an empowered PSM department, i.e., one that can act on behalf of another party, controls the NPD process. To help understand this empowerment, we developed and tested a model using survey data collected from 216 companies. Our findings indicate that empowering the PSM department can improve NPD results internally, as well as externally through collaborative relationships. Furthermore, those factors that account for collaboration differences provide an essential context for researchers and management decision-makers.