Role of behavioural factors in green supply chain management implementation in Indian mining industries

Green supply chain management (GSCM) integrates ecological concepts with those of supply chain management in order to minimize energy and material usage and to reduce adverse impacts of supply chain activities on the environment. GSCM implementation in mining industries depends largely upon certain factors which are influenced by human behaviours. Human behaviour is dynamic in nature and the relationships between them continuously evolve and change. In this ever-changing context, therefore, identifying and ranking the behavioural factors that affect GSCM implementation becomes essential. This can be taken as a reference by the decision makers while deciding the hierarchy of action necessary for effective implementation of green practices in mining supply chains. The present research attempts to explore various behavioural factors affecting GCSM practices and their interactions which help to attain green-enabled needs. Interpretive structural modelling (ISM) is employed in this research to extract the interrelationships among the identified behavioural factors.     

Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers

This paper aims to explore the green supply chain management (GSCM) initiatives (implementation) of various manufacturing industrial sectors in China and examine the links between GSCM initiatives and performance outcomes. We conducted a survey to collect data from four typical manufacturing industrial sectors in China, namely, power generating, chemical/petroleum, electrical/electronic and automobile, and received 171 valid organizational responses for data analysis. Analysis of variance (ANOVA) was used to analyze the data. The results are consistent with our prediction that the different manufacturing industry types display different levels of GSCM implementation and outcomes. We specifically found that the electrical/electronic industry has relatively higher levels of GSCM implementation and achieves better performance outcomes than the other three manufacturer types. Implications of the results are discussed and suggestions for further research on the implementation of GSCM are offered.     

Mixed methodology to analyze the relationship between maturity of environmental management and the adoption of green supply chain management in Brazil

The aim of this research is to verify the relationship between the maturity levels of environmental management and the adoption of green supply chain management (GSCM) practices by electro-electronic companies in Brazil. In this work a two-phase research was conducted, with one quantitative and the other qualitative. The quantitative phase aimed to test whether a relationship between the maturity levels of environmental management and GSCM exists, while the qualitative phase tried to detail the characteristics of this relationship. The quantitative phase was conducted through a survey with 100 Brazilian electro-electronic companies and the collected data were processed using Structural Equation Modeling. For the qualitative phase, a multiple case study was conducted with three companies located in Brazil. The results indicate that: (1) The main hypothesis was confirmed and considered statistically valid, indicating that, indeed, the maturity level of environmental management influences the adoption of GSCM practices; (2) a coevolution tends to occur between the environmental maturity and the GSCM practices; that is, the more developed is the company's environmental management, more complex GSCM practices are adopted; and (3) the GSCM internal practices tend to present a greater relative adoption than the external practices; these external practices of GSCM tend to be adopted when the company is inserted in a higher environmental stage and/or operates under a scenario of stronger normative environmental pressure. By the way, this is the first research mixing survey and case studies on GSCM in Brazil.     

Development of key performance measures for the automobile green supply chain

The main purpose of this study was to develop a set of measures for evaluating the performance of the automobile green supply chain. This study reviewed various literatures on green supply chain performance measurement, environmental management, traditional supply chain performance measurement, and automobile supply chain management. In order to comprehensively and effectively establish the relevant measures, a suitable framework which considered the automobile green supply chain as a two-in-one chain was adopted. This two-in-one chain comprised a forward and backward chain for the automobile industry. Consequently, 10 measures with 49 metrics and 6 measures with 23 metrics were identified and developed for the forward and backward chains, respectively. Sequel to the development of these measures, a survey was conducted using a four-page questionnaire distributed to experts (including academics and practitioners) to establish their importance and applicability. The findings of this study suggested that the importance and applicability of all the developed measures have been substantiated. For the forward chain, the most crucial measure was customer perspective while the most applicable one was traditional supply chain cost. The reverse chain measures were topped by management commitment in terms of both importance and applicability. This study contributed to the advancement of knowledge by pioneering the development of a set of holistic measures for evaluating the performance of the automobile green supply chain. The study was wrapped up with the proposition of directions for further studies.     

A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider

Return of used products is becoming an important logistics activity due to government legislation and increasing awareness among the people to protect the environment and reduce waste. For industries, the management of return flow usually requires a specialized infrastructure with special information systems for tracking and dedicated equipment for the processing of returns. Therefore, industries are turning to third-party reverse logistics providers (3PRLPs). In this study, a multi-criteria group decision-making (MCGDM) model in fuzzy environment is developed to guide the selection process of best 3PRLP. The interactions among the criteria are also analyzed before arriving at a decision for the selection of 3PRLP from among 15 alternatives. The analysis is done through Interpretive Structural Modeling (ISM) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). Finally the effectiveness of the model is illustrated using a case study on battery manufacturing industry in India.     

Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: Investigating the outcomes

The relationship between green supply chain initiatives and performance outcomes has been subject to numerous studies but the results are not conclusive. This study tries to assess the actual environmental, economic and intangible outcomes resulting from the adoption of green supply chain initiatives. This study used a structured questionnaire derived from the literature and employing a mail survey to collect responses form a group of 569 ISO 14001 certified firms in Malaysia. The results of testing the hypotheses that predicted that green supply chain initiatives have positive effect on the outcomes showed that eco-design have significant positive effect on the four types of outcomes (environmental outcomes, economic outcomes, cost reductions, and intangible outcomes). Reverse logistics was found to have significant positive effect on cost reductions only. However, green purchasing was not found to have significant effect on any of the four types of outcome. Through designing environmentally friendly products and taking back products and packaging, business organizations can generate benefits to the environment, in the form of reduced waste and better resource utilization, in addition to economic benefits and cost reductions to the organizations.     

An integrative framework for sustainable supply chain management practices in the oil and gas industry

This paper proposes a framework for understanding the contextual factors of sustainable supply chain management (SSCM) practices in the O&G industry. It is based on a literature review of studies related to SSCM of O&G topics. The review reveals that there is a lack of SSCM research specific to the industry. Present studies focus on individual stages of its supply chain and do not consider all dimensions of sustainable development, namely economic, environmental and social factors. In addition, existing frameworks lack important contextual aspects of the industry's business and organizational environment. To address these gaps, our research develops an overarching framework operationalizing the internal and external contextual factors of the O&G industry environment that can influence the outcome of its SSCM practices. The proposed framework is useful as a tool in the formulation and implementation of SSCM strategy that enables alignment of a company's internal capabilities with its external environment.     

Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain

This paper proposes a mixed performance measurement system using a combination of evolutionary game theory and the balanced scorecard (BSC) in environmental supply chain management (ESCM) that measures and evaluates business operations using the four different perspectives of finance, customer, internal business process, and learning and growth. ESCM plays an important role in the supply chain which leads to the reduction, reuse and recycling of resources involved in both upstream and downstream activities. This paper presents guidance for practical managers in evaluating and measuring ESCM by developing a knowledge-based BSC and evolutionary game theory. The primary purpose of this paper is to apply the proposed method in a case study to one of Iran's biggest auto industry supply chain SAIPA Company. The results of this study indicate that the adoption of ESCM, in the absence of regulatory pressures and cost-saving measures is triggered by public pressures and its implementation is limited by organizational factors and strategic myopia.     

企业绿色供应链管理实践的阶段性及其特征研究

本文在总结绿色供应链管理(GSCM)的现有研究成果与实践经验的基础上,提出可将企业在推进GSCM的实践划分为4个阶段:生存需求阶段、初步合作阶段、源头绿色化阶段、自我价值实现阶段。设计了调查问卷,对165家国内企业在推进GSCM的实践情况进行了调研。研究结果表明:这些企业在GSCM方面尚处于初级阶段,具体表现为由"消极应对"向"有所策划和初步实践"过渡;这一阶段的主要实施手段包括"回收利用生产过程中产生的废料"、"要求供应商提供清洁环保的产品"、"为消费者提供产品相关的环境信息"、"推进清洁生产审核"等。通过该实证研究以期为政府有关部门制定促进可持续发展的相关政策提供参考。     

The effective practices of mobile phone producers' green supply chain management in reducing GHG emissions

The aim of this study is to identify management practices that effectively reduce greenhouse gas (GHG) emissions with regard to the green supply chain adopted by mobile phone producers. Six cases were surveyed (Apple, Samsung, LG, Huawei, Nokia, and ZTE). The main source of data was sustainability reports, which were retrieved from the Global Reporting Initiative database. A special data analysis technique called rank analysis was adopted. The results revealed that the effective practices to reduce GHG 1 emissions were related to production process and business travel; those that were effective for reducing GHG 2 emissions were related to facilities accreditation and energy saving; and those effective in reducing GHG 3 emissions were related to logistics and customer practices. No effective actions related to the management of relationships with suppliers were identified by this study. Indicative models for the relationship between actions and GHG emissions were developed, as was a value‐stream map. The previous studies reporting the effective practices in other industries reported results for reducing GHG 1 or GHG 3, or overall GHG emissions, without discriminating among the actions taken to reduce such emissions, although some limited actions were reported. This study describes the effective practices along the whole supply chain—both upstream and downstream—and it also lists the actions related to addressing all the emissions, whether GHG 1, 2, or 3.     

An institutional theoretic investigation on the links between internationalization of Chinese manufacturers and their environmental supply chain management

Increased market internationalization with more and stricter environmental regulations in different countries has caused manufacturers to extend their environmental management practices to cover their supply chain partners. Thus, environmental supply chain management (ESCM) has become an important competitive and environmental strategy for manufacturers to pursue. China, as a global manufacturer, is also facing this balance of economic development with environmental protection. The literature remains unclear on whether internationalization is beneficial or costly when it comes to environmental management practices such as ESCM within China. Further insight into this issue will be useful for organizations in developing and emergent economies to more effectively prepare for internationalizing their operations and markets. Using internationalization drivers that propel the implementation of environmental management practices in the Chinese manufacturing industry, we applied cluster analysis to group a sample of 377 Chinese manufacturers surveyed in 2007 into three clusters: mature internationalization, emergent internationalization, and domestic-focused. Institutional theory within an internationalization context sets the theoretical foundation for evidence that the international environmentally oriented institutional drivers encountered are positively associated with the adoption of ESCM practices by Chinese manufacturers. We also find significant differences in the environmental, economic and operational performance outcomes across the three manufacturer clusters. We conclude that manufacturing organizations experiencing internationalization with a greater extent of adopting ESCM practices tend to perform better.     

Reverse logistics in Malaysia: Investigating the effect of green product design and resource commitment

Reverse logistics and green product design are green supply chain management practices that are being implemented to demonstrate firm's commitment to environmental sustainability. The generation of waste from electrical and electronic equipments prompts the viability of product recovery to salvage invested material and energy. Selection of various reverse logistics product disposition options relies on products’ residual value and the accessibility of reusable content for re-entry in forward supply chain. This study explores the effect of green product design and resource commitment on reverse logistics product disposition by employing empirical analysis on 89 returned mail survey received from ISO14001 certified electrical and electronic manufacturing firms in Malaysia. The results indicated that design for disassembly is necessary to harvest valuable inventories from every product disposition options except of disposal whereas design for environment and commitment of resources have slight influence on repair and disposal activities. As the evidences show that green product design and reverse logistics product disposition are interrelated, firms ought to undertake environmentally proactive approaches to generate benefits from resources that are undeservingly discarded as landfill waste.     

Tracking the implementation of green credit policy in China: top-down perspective and bottom-up reform

The Chinese government has introduced the green credit policy to mitigate the environmental impact of industrialization by reining in credit loans to companies and projects with poor environmental performance. This research investigated the implementation of the green credit policy both at the national and provincial levels. Our results show that the green credit policy is not fully implemented. The wide-ranging impact on high-polluting and high energy-consuming industries, vague policy details unclear implementing standards, and lack of environmental information are the main problems in the implementation of the green credit policy in China. On the other hand, the practice at local level (Jiangsu Province) is more practical by integrating green credit policy with the environmental performance rating system. Finally, suggestions are outlined to improve China's green credit policy.     

A model for cost-benefit analysis of construction and demolition waste management throughout the waste chain

Economic instrument is indubitably perceived as effective for encouraging or forcing contractors to conduct environmentally friendly construction practices. Previous studies in relation to this topic mainly put emphasis on economic analysis of construction and demolition (C&D) waste management from a static point of view, which failed to consider its dynamics nature by integrating all essential activities throughout the waste chain. This paper is thus intended to highlight the dynamics and interrelationships of C&D waste management practices and analyze the cost-benefit of this process using a system dynamics approach. Data related to concrete and aggregate of a construction project in Shenzhen was collected for the application of the proposed model. The findings reveal that net benefits from conducting C&D waste management will occur, but a higher landfill charge will lead to a higher net benefit, as well as an earlier realization of the net benefit. In addition, the general public under a higher landfill charge will suffer from a higher environmental cost caused by illegal dumping. The simulation results also suggest that current regulation in Shenzhen should be promoted to facilitate a dramatic increase in net benefit from the implementation of C&D waste management. This research is of value in facilitating better understanding on the dynamics of C&D waste management activities throughout the waste chain, as well as providing a tool for simulating the cost-benefit of C&D waste management practices over the project duration.     

An empirical analysis of green switching intentions in the airline industry

The purpose of this research is to gain an empirical understanding of airline passengers’ green switching intentions. A conceptual research model is used as a framework to examine the relationships among the experiential quality dimensions, green perceived value, green corporate image, green experiential satisfaction, green corporate reputation, green experiential loyalty and green switching intentions for the airline industry. The data used in this paper were based on a sample of 615 passengers who experienced the eco-friendly services of China Airlines, indicating that the proposed model fitted the data. The study's result will assist airline management to develop and implement market-orientated service strategies to increase the experiential quality dimensions, green perceived value, green corporate image, green experiential satisfaction, green corporate reputation and green experiential loyalty in order to decrease passengers’ green switching intentions.     

The impact of the carbon tax policy on green building strategy

As Green Corporate Social Responsibility spreads across the globe, the construction industry is under pressure to reduce the carbon emissions across their building projects. Between maximum profit and environment management, mathematical programming can be used as a decision support tool concerning the optimal green building projects portfolio. This environment strategic decision problem is addressed in this study where an activity-based costing decision model incorporating carbon tax costs and construction resources constraints is developed from the perspectives of capacity expansion and green technology outsourcing. The results illustrate the positive contribution of the mathematical programming approach to achieve viable green building projects portfolio solutions. Sensitivity analyses are carried out to analyse the impact of carbon footprint emission variation on maximum profit, and the corresponding results are discussed.     

Analysis of a rural water supply project in three communities in Mali: Participation and sustainability

This paper presents a qualitative assessment of the participatory water management strategies implemented at the community level in rural Mali through a water supply project — The West Africa Water Initiative (WAWI) — coordinated by World Vision International, a non‐governmental and humanitarian organization. Data for the study were generated through a combination of primary and secondary sources in three villages. Results of the study indicate that while community‐based rural water supply is a positive step in responding to the needs of rural Malians, the installation of boreholes with hand pumps informed merely by consultative participatory approaches and limited extension involvement will not necessarily proffer sustainable rural water supply in the region. A “platform” approach to rural water supply management that can mobilize the assets and insights of different social actors to influence decision making at all stages, including the design and choice‐of‐technology stages, in water supply interventions is instead advocated.     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

An analysis of the implementation of an environmental management system in a local public administration

The Environmental Management System (EMS) is commonly implemented in private firms. However, on the basis of a strengths, weaknesses, opportunities and threats (SWOT) analysis, our work analyzes the consequences of implementing an EMS within the context of local public administrations, particularly regarding the City Council of Ohanes in Almería (Spain). This is the first European corporation to implement an EMS according to the ISO 14001 Standard, certified by the Spanish Association of Normalization and Certification. Its analysis would be equivalent to the Shumpeterian "market innovator study", so that public administration "followers" can take advantage of the derived benefits and of minimizing the negative effects of such an experience. On the other hand, we show that the economic and environmental advantages derived from the EMS go beyond the activities that the City Council is in charge of. They have spillover effects that extend them to all economic activities in the municipality and these effects are expected to be increased in the medium and long-term perspective. In this paper, we compare the costs and benefits that the municipality obtains in two cases: the City Council implements the EMS or it does not implement it. The main objective of this article is to show the economic and environmental advantages obtained by a municipality when it is only the City Council who is implementing an EMS. It is logical to suppose that this case study can stimulate other municipalities to use this instrument, even if the economic and environmental characteristics of the municipality are different.     

Governance of water supply systems in the Palestinian Territories: A data envelopment analysis approach to the management of water resources

This study demonstrates that data envelopment analysis (DEA) can be a useful tool to assess the relative efficiencies of water supply systems and to establish benchmarks with which to measure progress in the management of water resources. Frontier efficiency models measure the efficiency of water use in the Palestinian Territories (West Bank and the Gaza Strip). At the municipality level, sufficient data for the years 1999-2002 were available to estimate efficiency and stability scores. The Gaza Strip efficiency scores were considerably lower than those of the West Bank. Water losses were the major source of the inefficiency as indicated by the large slacks of this input. The relative sizes of the municipalities affect efficiency scores little. Palestinian policy makers should focus on rebuilding the infrastructure of the water networks, beginning with the most DEA inefficient municipalities in order to minimize water losses.