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The key objectives of this study were to investigate the interactions among the lean, green management practices and organizational sustainable performance measures and explore the possibility of simultaneous implementation of these concepts for improving the organizational sustainable performance.

Using the interpretive structural modeling (ISM) technique, the interactions among the lean, green practices and organizational sustainable performance measures were established. A focus group which consisted of purposively selected 15 experts was utilized in the primary data collection.

In Sri Lankan context, water and material consumption reduction, energy efficiency, water pollution and greenhouse gas reduction were identified as the dominant green practices, while pull production, lot size reduction, continuous improvement, preventive maintenance, employee involvement and cycle time reduction were the dominant lean practices. Inventory level, profitability, quality, cost, employee satisfaction, customer satisfaction, lead time, resources consumption (material, water, energy) and waste generation were determined as the dominant sustainable performance measures. The resulting ISM-based structural model which consisted of eight levels concluded that firstly lean practices influence the green practices and afterward green practices affect the sustainable performance measures.

The aim of this study was to develop a hypothetical structural model to explain the interactions among the lean, green management practices and organizational sustainable performance measures. But this hypothetical model was not empirically tested in the current study. So further study is required to empirically test the proposed model.

Currently organizations who practice for sustainable performance engages, lean and green practices separately without understanding on which practices are stared when and how. So, through the findings of this study, organization who desire to improve the sustainable performance are recommended to begin the journey with lean practices and subsequently move in to green and handle both lean and green initiatives through one functional unit.

The existing literature does not possess a model for explaining the lean–green synergy and organizational sustainable performance and this study successfully fills this gap. Also the study proposes for the practitioners, when and how the lean and green practices should be initiated and implemented for rising the sustainable performance of an organization.

This study aims to the development of the scale of supply chain performance measures (SCPMs), food supply chain resilience (FSCS) and sustainable corporate performance (SCP) in small- and medium-sized enterprises (SMEs) in an emerging market. Based on this purpose, the study examines the relationships between SCPMs and SCP by exploring the mediating role of FSCS in emerging markets.

Based on a comprehensive literature review on the SCPMs, FSCS and SCP, the author evaluates the nexus of these constructs on disruptions during the COVID-19 pandemic emergency in an emerging market. The article follows a quantitative approach. A total of 567 valid responses from managers at senior and middle levels were received and used for data analysis. The Smart PLS version 3.3.2 was employed to analyse Structural Equation Modelling (SEM) to investigate the relationships between constructs and latent variables.

This study provides some theoretical contributions to expand the extant literature on the domain of SCPMs. First, the findings determine that multidimensional measures of flexibility, diversity, agility, inventory efficiency, redundancy and robustness are appropriate for measuring food SC performance in disruptions during the COVID-19 emergency. Besides, this study enriches the existing literature on SC disruption by providing extensive empirical evidence on SCPMs in disruptions during the COVID-19 emergency. Finally, this research provides an integrated empirical model that explores the link between the identified food SCPMs to FSCS and SCP.

The contributions may be of interest to business practitioners, business leaders and academics. In addition, this study provides empirical evidence to demonstrate that food SC performance, as measured by these measures, is strongly related to the firm's food supply chain resilience. This is the novel contribution of this study to the current literature on food SC management. Furthermore, this study provides further empirical evidence demonstrating the partial mediating role of the firm's food supply chain resilience in the nexus between food SC performance and SCP. The unique contribution of this study is an extension of the body of knowledge of SC management literature from a comprehensive approach by providing a proven set of performance measures of SC management to which it can drive SC resilience and SCP for food manufacturing SMEs in an emerging economy that hardly found in the current literature.

This paper aims to show the present level of sustainable transportation, mainly walking and bicycling, on a large campus in the US Midwest and then analyzes some of the opportunities and impediments in increasing the modal share.

Three types of analysis are used. First, current level of walking and bicycling around the campus are measured during select mornings and afternoons. Second, a survey questionnaire completed by 668 students is tabulated and reported. Third, the campus and environs are inventoried to note those aspects of infrastructure which either facilitate or block walking or cycling.

This paper records generally low existing levels of sustainable transportation among students around a campus. There is a particularly low level of bicycling activity. Reasons have to do with time and convenience (especially among students who work), but also that many students do not enjoy bicycle access. Finally, student attitudes and an inventory of campus indicate that existing infrastructure discourages sustainable transportation activity around campus.

This may be biased towards specific circumstances in the one institution we studied. However, there are several important implications on the factors spurring or impeding walking and bicycling which may be applied to other campus communities.

Understanding the campus impediments to walking and bicycling may help universities design more attractive and useful facilities.

Great attention to bicycling and walking can improve the social environment on campus, as well as spur greater health among students and staff.

Several methods of measuring existing transportation patterns are applied, canvassing student attitudes towards sustainable transportation and then inventorying and mapping those campus features which could affect walking and bicycling activity.

This paper aims to explore the feasibility of implementing the natural inventory model (NIM) developed by Jones (1996, 2003) in biodiverse wildlife corridor plantations, from a non-government organisations’ (NGO) perspective.

Undertaking the first cycle of an action research approach, the project involves collaboration with Greening Australia Tasmania (GAT). GAT is endeavouring to establish native wildlife corridors throughout the Tasmanian midlands, using science-based biodiverse plantations. The majority of the areas identified by GAT as essential for the establishment of these wildlife corridors are on privately owned land, primarily used for agricultural purposes. This paper explores whether stewardship of the land “sacrificed” by landowners may be demonstrated via the quantification and communication of improvements in biodiversity using the NIM.

Results suggest that the existing NIM is impractical for use by an NGO with limited resources. However, with some adaptations incorporating science-based measurements, the NIM can be used to account for biodiverse wildlife corridor plantations.

The findings have implications for not-for-profit, corporate and government sectors in terms of how accounting may facilitate the quantification and communication of conservation and restoration efforts.

Biodiversity loss is now considered to be a greater threat to the planet than climate change. Efforts to account for biodiversity are consistent with the UN 2030 Sustainable Development Agenda and the Australian Government’s “Biodiversity Conservation Strategy” (2010).

While prior studies have successfully implemented the NIM using secondary data, this is the first known to test the feasibility of the model using primary data in collaboration with an NGO.

The awareness for protecting the environment has resulted in remanufacturing and recycling policies in manufacturing industries. Carbon emission is one of the most important elements affecting the environment. Carbon emission due to production and transportation creates complicated situations for the manufacturing firms by affecting the manufacturer's carbon quota. The ecological consequences posed in a reverse logistic model are the subject of this study.

The present study explores the fuzzy model of economic production for both remanufacturing and recycling with uncertain cost parameters under the cap-and-trade rule to control the carbon emission due to different modes of transportation. Due to imprecise cost parameters, the hexagonal fuzzy numbers are set to fuzzify the overall cost, which leads to correct decisions in a more confident way. The result is defuzzified by using graded mean integration.

This study offers an explicit condition to control the carbon emission of the manufacturer and reduce the optimum cost. The findings indicate that the collection of used goods that can be remanufactured must be increased. The model is validated numerically. Sensitivity analysis explores the various aspects of different parameters on net cost to accomplish the fuzzy production model.

Under fuzzy inference, the research offers a relevant contribution in the field of recycling with controlling carbon emission by using the cap-and-trade policy. This study provides a trading strategy for a manufacturer's decision to avoid losses.

Ineffective management inventory of medical products such as blood and vaccines can create severe repercussions for hospitals, clinics or medical enterprises, such as surgery delays and postponements. Inventory sharing is a form of horizontal collaboration that can provide solutions to key actors of the healthcare supply chain (HSC), yet no prior study reviewed this topic.

This study conducts a systematic literature review of thirty-nine inventory-sharing studies in the context of HSCs published from 2012 until early 2022. The descriptive and thematic analyses include chronological distribution, geographical location, comparison between developed/developing regions, stakeholder and incident analysis.

Thematic analysis classified inventory sharing among five product supply chains (blood, medical supplies, medicines, vaccines and generic medical products). Benefits include shortage reduction, cost minimisation, and wastage mitigation. Barriers include (1) IT infrastructure, (2) social systems, (3) cost and (4) supply chain operations. Perishable inventory policies include Fresher-First (FF), Last-Expire-First-Out (LEFO), First-In-First-Out (FIFO) and First-Expire-First-Out (FEFO). The analysis also showed differences between developed and developing countries. The study identifies several future research opportunities that include (1) product utilisation rate, (2) cost reductions, (3) shortage mitigation and (4) waste reduction.

No prior study has systematically reviewed inventory sharing in HSCs to reveal benefits, barriers, patterns and gaps in the current literature. It makes five propositions and develops a research model to guide future research. The study concludes with theoretical and managerial implications.

The purpose of this article is to explore the current and historical state of accounting for biodiversity in Kalimantan (Borneo). It is also to evaluate various models for stand-alone biodiversity reporting in the context of the work undertaken in Kalimantan by the United Nations Collaborative Program on Reducing Emissions from Deforestation and Degradation in Developing Countries (the REDD program). Economics and politics play a dominant role in hindering biodiversity conservation in the region. This article develops and presents an integrated biodiversity measuring, monitoring and reporting model with the aim of undermining the biodiversity damaging activities in the region. The model enables the provision of comprehensive information on biodiversity to support and inform stakeholders' decision-making and economic activities in relation to Kalimantan.

Kalimantan was selected as a case study site to identify the destruction of biodiversity caused by businesses driven by narrow and selfish economic motives. A number of measuring, monitoring and reporting models for biodiversity are analysed under Reducing Emissions from Deforestation and Degradation (REDD's) Kalimantan Forests and Climate Partnership's reporting framework.

Various social, political and economic impediments to the conservation of Kalimantan's biodiversity currently exist. A comprehensive and multifaceted framework of biodiversity reporting and disclosure needs to be implemented in order to promote accountability for Kalimantan's biodiversity. Such a framework is needed to ensure transparency in relation to the activities of stakeholders that impact biodiversity in the region. Biodiversity reporting can also promote the monitoring and control of the use of Kalimantan's land and labour by businesses. It can inform the economic decision-making at both the international and regional levels that needs to occur in order to protect and rehabilitate Kalimantan's biodiversity and biodiversity habitat.

In this article an integrated biodiversity measuring, monitoring and reporting model is presented. In addition to Kalimantan, this model can also be applied to biodiversity reporting in any economically developing region that requires international intervention, investment and guidance to ensure the protection of its biodiversity. The framework developed expands on the current REDD reporting framework for Kalimantan.

This is an original research paper.

The 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.

A 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.

There 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.

The 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.

Most 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.

The purpose of this paper is to efficiently assist the decision makers in evaluating and selecting the most appropriate third-party logistics (3PL) provider from environmental sustainability perspective using a two-phase model based on data envelopment analysis (DEA) and analytic network process (ANP).

The study uses an integrated approach of DEA and ANP as an evaluation and selection methodology to select an efficient and requisite 3PL. The integrated model is a sound technique for 3PL evaluation and selection. DEA effectively screens the maximally efficient 3PLs, whereas ANP easily performs the cumbersome process of weighting diverse criteria and ranks various alternatives according to their performance on the basis of these criteria. This study lists the prominent evaluation and selection criteria taking into consideration the environmental sustainability. Finally, a real-life industrial application is presented to demonstrate the proposed method.

The current research work is devoted to the emerging research topic of environmental sustainability in logistics industry and supply chain management. The results of study indicate that eco-efficient transportation and 3PLs lead better transportation planning, better inventory and warehouse management, lower inventory cost and sustainable supply chain operations. Also, the applied approach enables the decision makers to better understand the complex relationships of the relevant criteria in the decision-making process.

This study does not investigate the relationships between environmental performances and differentiation advantage from the perspective of 3PLs. Also, sensitivity analysis is not performed.

The developed integrated model enables decision analysts to better understand the complete evaluation process of 3PL evaluation and selection considering environmental sustainability perspective. Furthermore, the developed approach provides a more flexible, simple, accurate, effective, and systematic decision support tool for 3PL evaluation and selection.

The current study is first of its kind to use the integrated approach in evaluation and selection of 3PLs from environmental sustainability perspective considering the inter-dependencies among the evaluation and selection criteria.