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Drawing on the systems theory and the natural resource-based view, the purpose of this paper is to advance an integrated resource efficiency view (IREV) and derive a composite “integrated resource efficiency index” (IRE-index) for assessing the environmental, economic, and social resource efficiencies of production economies.

Using sub-national input-output data, the IRE-index builds on the human development index (HDI) and the OECD green growth indicators by including functions for environmental resource efficiency, energy, and material productivity. The study uses multiple regressions to examine and compare the IRE-index of 40 countries, including 34 OECD nations. The study further compares the IRE-index to similar composite indicators such as the human sustainable development index (HSDI) and the ecological footprint.

The IRE-index reveals a discrepancy between social development and resource efficiency in many of the world’s wealthiest production economies. Findings also show that material productivity has been the key driver for observed improvements in IRE over time. The index is a robust macro-level methodology for assessing resource efficiency and sustainability, with implications for production operations in global supply chains.

The IREV and IRE-index both contribute towards advancing green supply chain management and sustainability, and country-level resource efficiency accounting and reporting. The IRE-index is a useful composite for capturing aggregate environmental, economic, and social resource efficiencies of production economies. The paper clearly outlines the managerial, academic, and policy implications of the IREV and resulting index.

The purpose of this paper is to investigate the implications of supply chain strategies that manufacturing companies can use to minimise or overcome natural resource scarcity, and ultimately improve resource efficiency and achieve competitive advantage. The relationship between resource efficiency and competitive advantage is also explored.

The proposed research model draws on resource dependence theory. Data were collected from 183 logistics, purchasing, sustainability and supply chain managers from various manufacturing companies and analysed by applying the partial least squares structural equation modelling technique.

The results indicate that both buffering and bridging strategies improve resource efficiency; however, only bridging strategies seem to lead to firm’s competitive advantage in terms of ownership and accessibility to resources. The relationship between resource efficiency and competitive advantage is not supported.

Future research could confirm the robustness of these findings by using a larger sample size and taking into account other supply chain members.

This research provides guidance to managers faced with the growing risk of resource scarcity to achieve a resource efficient supply chain and an advantage over competitors.

Studies have explored the appropriate strategies for minimising dependencies caused by the scarcity of natural resources in the field of supply chain management; however, there is limited empirical work on investigating the impact of these strategies on resource efficiency and competitive advantage.

The purpose of this paper is to use an eco-friendly service concept framework to demonstrate the effect of credible eco-certification signaling.

The authors examine a cross-sectional data set consisting of 2,481 hotel sites across the US. The authors measure the performance of the operations component of eco-friendly service by operations-driven resource efficiency (ODF), and the performance of the marketing component by customer-driven resource efficiency (CDF). A series of multivariate regressions compare these two resource efficiency measures between credibly eco-certified hotel sites and others.

The results indicate that credible eco-certifications achieve the signaling effect. Eco-certified hotels outperform others in both ODF and CDF measures; and eco-certified hotels still achieve higher CDF after controlling for ODF.

The findings suggest that eco-friendly service design requires not only eco-friendly operations but also a built-in credible signaling mechanism. This mechanism engages the customers in eco-friendly service coproduction and in doing so integrates the operations and marketing components of eco-friendly service strategy through eco-certifications.

This study is among the first to demonstrate empirically the signaling effect of credible eco-certifications in services. It increases understanding of eco-friendly service design and delivery by exploring the role of credible eco-certifications in linking customer benefits with the service organization's strategic intent.

This study develops an integrated zero waste discharge planning approach for improving resource efficiency in a pulp-and-paper manufacturing firm.

The objectives of this study are to (1) identify the environmental, technical and social metrics in resource efficiency; (2) utilize fuzzy multi-objective programming and the hybrid particle swarm optimization algorithm to solve the fuzzy problem; and (3) develop an assessment for resource efficiency improvement in an industrial case study.

The findings demonstrate the superiority of hybrid particle swarm optimization algorithm in generating optimal results for a pulp-and-paper manufacturing firm.

The findings demonstrate the superiority of hybrid particle swarm optimization algorithm in generating optimal results for a pulp-and-paper manufacturing firm.

Resource efficiency is a multi-objective problem in an uncertain environment. In particular, zero waste discharge planning involves minimizing the total cost and maximizing the waste material recovery rate, wastewater reuse, and waste heat recovery.

The purpose of this paper is to explore how the acquisition experience – an acquiring firm’s experience of acquiring and integrating the resources of an acquired firm – affects the production resource efficiency of the acquiring firm.

The authors used data obtained from US manufacturing industries over the 1992–2014 period. The sample includes 784 acquisitions by 417 firms. The proposed hypotheses were tested through econometric analysis.

Results show that the acquisition experience has a positive association with production resource efficiency. The acquisition experience is most positively associated with acquiring firms’ production efficiency when they successfully accomplished previous performance outcomes. While the literature has recognized the relatedness of acquiring and acquired firms as a contextual moderator, the interaction of the related acquisition and the acquisition experience has no impact on efficiency benefits.

This study enhances the understanding of how prior acquisition experience can be leveraged by acquiring firms to gain efficiency benefits in the manufacturing industry.

This research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through cutting-edge technologies such as artificial intelligence (AI) and Internet of Things (IoT). The study emphasizes the significance of sustainability, human-machine collaboration and Industry 5.0 in the development of a technologically advanced, inclusive and immersive healthcare system.

The study surveyed 354 medical professionals and used structural equation modeling (SEM) to investigate healthcare sustainability, Industry 5.0 and the metaverse, emphasizing the integration of modern technology while maintaining ethical issues.

The findings highlight Industry 5.0’s and the metaverse’s transformational potential in healthcare firms. The study finds that human centricity (HC) has only a minor direct impact on healthcare sustainability, whereas intelligent automation (IA) and innovation (INN) play important roles that are regulated by external factors.

Utilizing IA inside healthcare organizations can result in significant industrial advancements. However, these organizations must recognize the importance of moderating factors and attempt to find a balance between INN and thesev restraints.

This study makes a substantial contribution to the field by investigating the potential of Industry 5.0, healthcare, sustainability and the metaverse. It discusses how these advances can transform healthcare firms, with an emphasis on patient-centered treatment, environmental sustainability and data ethics. The study emphasizes the importance of having a thorough awareness of these trends and their implications for healthcare practices.

Operational risks can cause considerable, atypical disturbances and impact food supply chain (SC) resilience. Indicatively, the COVID-19 pandemic caused significant disruptions in the UK food services as nationwide stockouts led to unprecedented discrepancies between retail and home-delivery supply capacity and demand. To this effect, this study aims to examine the emergence of digital platforms as an innovative instrument for food SC resilience in severe market disruptions.

An interpretive multiple case-study approach was used to unravel how different generations of e-commerce food service providers, i.e. established and emergent, responded to the need for more resilient operations during the COVID-19 pandemic.

SC disruption management for high-impact low-frequency events requires analysing four research elements: platformisation, structural variety, process flexibility and system resource efficiency. Established e-commerce food operators use partner onboarding and local waste valorisation to enhance resilience. Instead, emergent e-commerce food providers leverage localised rapid upscaling and product personalisation.

Digital food platforms offer a highly customisable, multisided digital marketplace wherein platform members may aggregate product offerings and customers, thus sharing value throughout the network. Platform-induced disintermediation allows bidirectional flows of data and information among SC partners, ensuring compliance and safety in the food retail sector.

The study contributes to the SC configuration and resilience literature by investigating the interrelationship among platformisation, structural variety, process flexibility and system resource efficiency for safe and resilient food provision within exogenously disrupted environments.

The purpose of this paper is twofold: first, to identify and analyse existing resource efficiency (RE) and resource effectiveness measures and indicators (REMIs); and second, to identify gaps and develop a new indicator of “operational resource effectiveness” (ORE_ft) suitable for manufacturing units.

Research methodology consists of three stages: gap identification, development and testing. Through review of academic literature, 40 REMIs are identified and analysed. A survey of manufacturers is carried out to validate the hypothesis and seek inputs on the development of the new indicator. The proposed indicator is tested by comparing ORE_ft index of two manufacturing units with each other, with resource intensity per unit (RIPU), waste intensity per unit (WIPU) and with four other REMIs.

Analysis of 40 REMIs clearly points towards the absence of a hypothesised REMI. In total, 78 per cent of manufacturers surveyed in north England substantiate the hypothesis. Inverse correlation established between the proposed ORE_ft indicator, RIPU, WIPU and other comparisons is likely to validate the output generated by the proposed indicator.

Testing of this indicator is limited to two dissimilar manufacturing units that shared data.

The proposed indicator is useful for comparing the operational resource effectiveness of individual factories over a period as well as with other factories. RIPU and WIPU captured in this indicator also represent operational RE that can be used to initiate improvement action.

Inclusion of both, the resource consumption and the waste generation along with discount/multiplying factors that capture the circularity aspects is likely to be the distinguishing feature of this indicator.

Outsourcing by corporations is increasing the demand for complex services (such as customization) from third-party logistics providers (3PLs). Effective integration between 3PLs and their customers, known as the external integration of 3PLs, not only allows 3PLs to respond rapidly to shippers’ needs but also to increase customer satisfaction and the effective allocation of resources while increasing operational efficiency (such as by proposing comprehensive plans for future logistics services to meet shippers’ demands). The purpose of this paper is to investigate the causal relationships among the external integration capabilities, cost advantages, and the financial performance of 3PLs.

A survey of 3PLs in Taiwan and China was performed. The research model was tested using a structural equation modeling technique along with the partial least square (PLS-SEM/PLS) approach.

The results herein demonstrated a positive relationship between 3PLs’ external integration capabilities and resource efficiency. The results also suggested that cost competitiveness positively affected the financial performance of 3PLs. Although the external integration capabilities of 3PLs were not found to directly affect their financial performance, the results in this study indicated that external integration capabilities enable a firm to improve financial performance by capturing cost advantages.

This study provides useful information about the effects of external integration capabilities on the financial performance of 3PLs in a bi-regional context. The sample in this study was drawn from the 3PL industry in Taiwan and China, enabling a comparative analysis of these two countries of similar cultural backgrounds but different degrees of development of their logistics industry and different related demands.

The Hot Spot Analysis developed by the Wuppertal Institute is a screening tool focussing on the demand of reliable sustainability‐oriented decision‐making processes in complex value chains identifying high priority areas (“hot spots”) for effective measures in companies. This paper aims to focus on this tool.

The Hot Spot Analysis is a qualitative method following a cradle‐to‐cradle approach. With the examples of coffee and cream cheese hot spots of sustainability indicators throughout the entire life cycle are identified and evaluated with data from literature reviews and expert consultations or stakeholder statements. This paper focuses on the indicator resource efficiency as an example of how the methodology works.

The identified hot spots for coffee are the raw material procurement phase in terms of abiotic material, water and energy consumption, the production phase concerning biotic material and the energy consumption in the use phase. For cream cheese relevant hot spots appear in the raw material procurement phase in terms of biotic materials and water as well as biotic materials and energy consumption during the production phase.

Life cycle analyses connected to indicators like resource efficiency need to be applied as consequent steps of a Hot Spot Analysis if a deeper level of analysis is eventually aimed at which is more cost and time intensive in the short term. The Hot Spot Analysis can be combined with other sustainability management instruments.

Research and management can be directed to hot spots of sustainability potential quickly which pays off in the long term.

The paper shows that companies can address sustainability potentials relatively cost moderately.