Exploring the circular economy paradigm: A natural resource-based view on supplier selection criteria

The paradigm of circular economy and the transfer of its principles to supply chain management has recently received much attention from researchers and practitioners. Limited natural resources, governmental legislation, and social responsibility for environmental preservation are the main factors for the development of circular supply chains. Especially in the automotive industry, critical materials are used to produce electric vehicles, reinforcing the importance of circularity for the industry. As the first stage of the supply chain, suppliers have a considerable influence on creating self-sufficient production systems, and in the automotive sector, a low level of vertical integration is important. Therefore, selecting suppliers is an enabler for circular supply chains, but this decision is a complex process due to multiple, partly conflicting criteria. To contribute to the knowledge in this research area, this study applies a fuzzy decision-making trial and evaluation laboratory approach for supplier selection in a circular supply chain in a case study of electric vehicles. First, a set of criteria for supplier selection in circular supply chains was identified based on a literature review and was systematically categorized based on the natural resource-based view. Afterward, the criteria were assessed and refined by experts with a strong procurement background in the automotive industry. Second, the experts were interviewed for value collection, and finally, the mutual influence of the criteria was determined. The results show that the most important criteria for circular supplier selection in electric vehicle supply chains are environmental standards, environmental-related certifications, resource consumption, and waste generation. Regarding the natural resource-based view, short-term focused criteria addressing the capability of pollution prevention have a higher importance compared to long-term criteria that drive sustainable development. In addition, this study classifies the criteria into the categories of causes and effects, discusses the prominence of the criteria, and presents a strategic map showing the mutual influences of the criteria. The results contribute to the theoretical and practical discussion on circular supply chains by identifying the key criteria for circular supplier selection and providing decision-making support for procurement managers.     

Using AHP to evaluate the criteria of auto spare parts industry

Analytic hierarchy process method is applied by surveying auto spare parts suppliers in Taiwan to identify the importance of 7 major criteria and 30 sub-criteria. Quality is the most essential criterion whereas production is the least important criterion identified in this study. Unlike the traditional viewpoints that local auto spare parts makers tend to emphasize on production, quality, service, technological capability, and price are relatively more important. In addition, four of five sub-criteria under the criterion of quality play an important role for the local suppliers to gain competitive advantages. By identifying the most essential criteria and sub-criteria, the performance based on those criteria and sub-criteria should be closely monitored and relentlessly improved under such competitive business environment.     

Green supplier selection: a new genetic/immune strategy with industrial application

With the onset of the ‘climate change movement’, organisations are striving to include environmental criteria into the supplier selection process. This article hybridises a Green Data Envelopment Analysis (GDEA)-based approach with a new Genetic/Immune Strategy for Data Envelopment Analysis (GIS-DEA). A GIS-DEA approach provides a different view to solving multi-criteria decision making problems using data envelopment analysis (DEA) by considering DEA as a multi-objective optimisation problem with efficiency as one objective and proximity of solution to decision makers’ preferences as the other objective. The hybrid approach called GIS-GDEA is applied here to a well-known automobile spare parts manufacturer in India and the results presented. User validation developed based on specific set of criteria suggests that the supplier selection process with GIS-GDEA is more practical than other approaches in a current industrial scenario with multiple decision makers.     

Organisational Supplying Behaviour: Understanding supplier needs,wants and preferences

The purpose of this article is to enhance understanding in the P&SM field of supplier behaviour by exploring their needs, wants and preferences. The characteristics of customers that suppliers need, want and prefer have been conceptualised as ‘Sources of Supplier Value’ (SOSV) and the article seeks to establish a vocabulary for describing supplier needs, wants and preferences and their impact on buyer attractiveness. To achieve this a pilot study was conducted using face-to-face interviews with key account managers and Managing Directors in 14 SMEs supplying UK supermarket buyers. The research identifies 49 elements in buyers’ purchase offerings, behaviours and characteristics that suppliers regard as important. The practical implication of this research is to improve the P&SM field's understanding of the behaviour of suppliers with a longer term view to improving the ability of all buyers to influence the behaviour of suppliers in ways that match the buyers’ requirements and preferences. Furthermore, in view of the current paucity of research and understanding in this subject area, the article presents a coherent theoretical framework, terminology and rationale for investigations into the phenomenon of Organisational Supplying Behaviour.     

Internal and external suppliers in manufacturing networks—An empirical analysis

The purpose of the paper is to explore the way manufacturing firms use internal and external suppliers in the design and management of manufacturing networks. The main area of interest is to explore the similarities and differences between internal and external suppliers, with respect to their roles and the reasons for choosing a certain type of supplier. We base our analysis on data from 104 Swedish manufacturing plants and their corresponding manufacturing networks of internal and external suppliers. The results of the study show that there are significant differences between the criteria that are influential in choosing a certain type of supplier. The choice of an internal supplier is largely based on a single corporate decision, while an external supplier has to perform well on a number of criteria (primarily quality, cost, and delivery dependability). When comparing the selection criteria with competitive priorities and plant performance, we find that the criteria for selecting external suppliers has a better match than those for selecting internal suppliers. The sample contained plants having only external suppliers as well as plants having both internal and external suppliers, but the selection criteria for external suppliers are the same for both groups and not dependent upon the presence or absence of internal suppliers.     

A novel hybrid multi-criteria method for supplier selection among SMEs on the basis of innovation ability

Today, small and large business houses operate collaboratively for the efficiency in the functioning of supply chains. Larger organisations mostly depend on small companies to supply majority of its components and thus they need to be careful while selecting their suppliers. Small organisations performing innovatively and supplying technologically upgraded as well as quality products at a cheaper rate can be a boon for the larger enterprise. This study develops a model for evaluating and selecting small firms as suppliers on the basis of their innovativeness. Best–Worst multi-criteria method is used to rank criteria of innovativeness and also to calculate their weights on the basis of expert opinion. Fuzzy TOPSIS methodology is used to rank the suppliers with respect to these criteria and finally select the best supplier among the available alternatives. A real-world application is illustrated by taking a case of auto component manufacturer and its seven suppliers, 5 main criteria and 23 sub-criteria are taken up for the study.

Abbreviations: AHP: analytical hierarchal process; ANP: analytical network process; DEMATEL: decision-making trail and evaluation laboratory; EMS: environment management system; ELECTRE: ELimination Et Choix Traduisant la REalité (elimination and choice expressing reality); FPIS: fuzzy positive ideal solution; FNIS: fuzzy negative ideal solution; ISM: interpretative structural modelling; PROMTHEE: preference ranking organisation method for enrichment evaluation; SME: small and medium enterprises; TOPSIS: technique for order preference by similarity to ideal solution; QFD: quality function deployment; VIKOR: VlseKriterijuska Optimizacija I Komoromisno Resenje; SP1; SP2; SP3; SP4; SP5; SP6; SP7: Various suppliers used as alternatives     

Making sustainable sourcing decisions: practical evidence from the automotive industry

Achieving environmental and sustainable performance within an organisation’s supply chain and manufacturing operations will be feasible if upstream supply partners have the same commitments in performing their operations in a sustainable manner. Given the debate above, we propose a comprehensive framework to address the sustainable supplier selection and order allocation (SSS&OA) problem. The framework developed is practical, that starts by using an audition check-list specific for each sustainability dimension (environmental, economic and social), from which the weighted values of its comprised criteria are obtained. The weighted scores of the selected sustainable suppliers are utilised by a proposed bi-objective order allocation model in order to make sourcing decisions. The strength of the proposed framework is its practical applicability to provide a solution for SSS&OA problems which is validated through a real-world application. Finally, research findings, theoretical and managerial insights and also directions for additional research are presented.     

A multi-objective model for lot-sizing with supplier selection for an assembly system

Lot-sizing with supplier selection (LS-SS) is a fast-growing offspring of two major problem parents in logistics and supply chain management (‘lot-sizing’ and ‘supplier selection’). The model proposed in this paper is an attempt to extend it to an assembly system, by formulating a multi-objective model for an integrative problem of LS-SS for assembly items. The total costs of the system, consisting of purchasing, ordering, transportation, assembly, and holding, is considered the first objective function, while the total reliability of the finished products is considered the second objective function. The decision-maker aims to minimise the total costs while maximising the total reliability. Several constraints of the system (e.g. storage capacity, supplier production capacity) are taken into account. Given the complexity of the model, a heuristic evolutionary algorithm is proposed to solve the model. The results indicate which assembly items to order in which quantities, from which suppliers and in which time periods.     

Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming

Global supplier selection is a multi-goal multi-criteria problem which needs to consider both qualitative and quantitative factors. Which suppliers are the best and how much should be purchased from the selected suppliers is an important purchasing issue for manufacturers. Traditionally, decision makers can determine the best supplier from evaluating few suppliers with qualitative supplier selection criteria by using fuzzy analytic hierarchy process (FAHP), but evaluate dozens of global suppliers simultaneously or determine the order quantity from them will be complex and difficult. Meanwhile, decision makers can determine the order quantity form the suitable suppliers by using fuzzy goal programming (FGP); however, it is not easy to decide weights for each goal of global supplier selection with different supply chain strategies. This study integrated the FAHP and FGP (FAHP-FGP) method to be a new approach for global supplier selection in considering the manufacturer’s supply chain strategies. With FAHP-FGP method, the manufacturer can consistently integrate multi-manager’ opinions in determining weights of each goal and obtain the order quantities for suitable suppliers based on manufacturer’s strategies. To demonstrate the usefulness of the proposed method, a real-world case of a digital consumer products manufacturer is presented.     

Co-alignment of supplier quality management practices and cognitive maps – A neo-configurational perspective

Much of the previous research on the ‘purchasing practice–performance link’ rests on the notion of “net effects,” which assumes that specific practices independently of each other impact outcomes. This study challenges this core tenet by adopting a neo-configurational perspective, exploring how different combinations of factors (called “configurations”) affect outcomes. Another limitation of extant studies on the ‘purchasing practice–performance link’ is the narrow focus on practices; more recent behavioral supply management research finds the behavior of managers to be critically influenced by cognitive maps—the lenses through which managers perceive, simplify, and interpret the world. Focusing on supplier quality as a core aspect of the broader ‘purchasing practice–performance link’, this study explores how configurations of different supplier quality management (SQM) practices and SQM-related cognitive maps help firms to manage supplier quality. It uses fuzzy-set qualitative comparative analysis (fsQCA) to identify SQM configurations and a cognitive-linguistic approach for the computerized text analysis of purchasing managers’ cognitive maps in the context of Western companies sourcing from Chinese suppliers. The configurational fsQCA analysis identifies four different configurations associated with overcoming barriers to SQM in emerging markets. SQM-related cognitive maps prove to be a critical component in these four configurations.     

Analysing the roadblocks of circular economy adoption in the automobile sector: Reducing waste and environmental perspectives

The automobile industry is one of the most rapidly growing sectors in our society. The increase in demand for vehicles drives the growth of the automobile sector worldwide. Fabrication of vehicles consumes an enormous amount of water, energy and resources, thereby increasing carbon emissions. Nonbiodegradable and manufacturing waste after the end of life usage results in a significant contribution to incineration, landfills, air acidification and water eutrophication. The adoption of circular economy (CE) initiatives can play a significant role in dealing with increasing waste and environmental pollution. The main goal of CE is to recycle and reuse materials to reduce waste and also to minimise environmental impacts. This article strongly supports the adoption of CE in the Indian automobile industry. For the successful adoption of CE in the Indian automobile sector, first, it is important to analyse roadblocks to the adoption. Twenty potential roadblocks towards the adoption of CE have been identified from a literature review and in consultation with experts in the field. To capture the vagueness of the data and to carry out a robust analysis, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with Fuzzy theory is employed. The results reveal that roadblock ‘lacking ability to deliver high-quality remanufactured products’ is ranked first among all considered roadblocks. This study will help the Indian automobile industry, decision makers, research practitioners and government officials develop effective strategies for adopting CE in Indian automobile companies. A sensitivity analysis has been conducted to validate the stability of results.     

An application of an integrated ANP–QFD framework for sustainable supplier selection

This study provides a novel integrated multi-criteria decision-making approach to sustainable supplier selection problems. Despite the large supply chain management literature on green performance measurement, the need for a systematic analysis of how specific sustainable variables develop and affect each other remains mostly overlooked. The proposed integrated framework allows for such an analysis. By combining analytic network process and quality function deployment, our model identifies a clear hierarchical structure for all the relevant sustainable factors and sub-factors while weighting the decision criteria based on the importance given to customer requirements. Finally, suppliers are ranked using a multi-objective optimisation procedure based on ratio analysis and weighted aggregated sum product assessment. The proposed framework is used to analyse a case study of a dairy company, but it can be easily implemented for supplier selection by any other company with similar features.     

Purchasing practices in small- to medium-sized enterprises: An examination of strategic purchasing adoption,supplier evaluation and supplier capabilities

The benefits that can be derived from effective purchasing have long been recognised in the management literature. Despite a growing body of research on purchasing practices in small- to medium-sized enterprises (SMEs), a number of key issues remain under-examined. We investigate SME purchasing practices in terms of (1) the degree to which purchasing is regarded as a ‘strategic’ activity by SMEs, (2) the use of supplier evaluation systems by SMEs and (3) the supplier capabilities emphasised by SME buyers. Through a survey of UK SME managers, we find that purchasing practices varied greatly across SMEs. Purchasing formality is generally low with limited evidence of purchasing being employed strategically and with many firms not undertaking formal supplier evaluations. In terms of supplier capabilities, we find that SMEs differ in the capabilities they prioritise, with three distinct groups evident. These groups are labelled ‘holistic’, ‘process’ and ‘logistics’ based on the supplier capabilities they emphasise. These three groups of firms also differed in terms of the emphasis they placed on strategic purchasing, supplier evaluation, technological focus and how they compete in their main markets, but not in terms of firm size or number of suppliers utilised. The implications of these findings are discussed and areas meriting future research are proposed.     

供应商网络关系、网络结构与结点活性——美的空调的案例研究

借助于结点活性的概念来描绘供应商的属性与状态，并结合企业网络中网络关系与网络结构的理论划分原则，通过将项目投资组合理论与企业网络理论相结合，尝试从供应商网络关系、网络结构与结点活性三个角度对供应商网络效率进行分析。基于美的空调的案例研究发现，从网络关系视角来看，焦点企业与供应商之间的信息共享程度、企业高层及中基层员工的交流频率将对供应商网络效率产生重要影响；从网络结构视角来看，焦点企业与供应商之间的业务份额对于供应商网络效率的影响作用较为明显；而从结点活性视角来看，焦点企业在供应商客户群体中的排名以及彼此之间的技术合作强度是影响供应商网络效率的重要因素。本文的研究成果对于供应商网络管理实践以及焦点企业供应商选择具有重要的借鉴意义与指导作用。     

Circular economy and the policy: A framework for improving the corporate environmental management in supply chains

The transition to the circular economy (CE) creates value through the closed-loop systems, reverse logistics, product life cycle management, and clean production in terms of corporate environmental management. During this transition process, the organization faces many barriers such as financial, organizational, technology-based, social, policy-related, market-based, and logistics-based barriers. The objectives of this study are to propose a framework highlighting policy-related barriers for a supply chain in the transition to CE and finally discuss potential implications on enhancing corporate environmental performance of a business. Further, this study evaluates the causal relationships between the policy-related barriers using fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. The application was conducted in an apparel firm in Turkey. From findings, lack of legislation for efficient CE (C4), lack of mandatory requirements and responsibilities for manufacturers/suppliers for the CE (C17), and lack of government support for environmentally friendly policies (C2) are revealed as the most important barriers, respectively. It is found that lack of attitude and awareness about CE in government institutions (C19) is the most influencing factor, whereas lack of effective recycling policies to achieve quality in waste management (C8) is the most influenced factor. The recommendations were developed for enhancing the corporate environmental performance of businesses through incentives and unique rewards, improving communication among stakeholders, the government's perception of CE and current linear economy, cooperation with nongovernmental organization (NGOs) and civil actions, the vision of government towards circular principles, the circular public procurement, the local governments in circular policymaking, and awareness of bureaucracy and government officials.     

Towards a framework for supply chain finance for the supply side

Buyers increasingly offer financing alternatives to their suppliers – so called supply chain finance (SCF) practices for the supply side. Expected benefits however do not always materialize for involved actors. Guidance is needed when to provide these SCF practices to suppliers and why to select different types of practices. To provide this guidance, the paper involves an exploratory multiple-case study design including data within eight buyer-supplier-financial service provider triads. The findings explain contextual situations for the provision of SCF practices based on the contingency approach. They distinguish endogenous, relationship-related and exogenous contingencies within the aforementioned triads. Differentiation criteria are determined for the selection of SCF practices along the dimensions ‘time of financing’ (pre- versus post-shipment) and ‘source of funds’ (supply chain internal and external). Testable propositions and key learnings summarize the derived findings and form the basis to develop a contingency framework on SCF practices for the supply side.     

The international volunteering market: market segments and competitive relations

• The number of nonprofit and social agencies relying on the help of volunteers has grown enormously in recent decades. This has lead to increased competition between these organisations for the limited resources available, and the growing adoption of what have traditionally been considered ‘commercial’ business techniques such as marketing. There have been calls for greater and more sophisticated use of ‘tried and tested’ marketing concepts such as competition, segmentation and positioning to help volunteering organisations manage this pressure effectively. This study shines the spotlight on individuals who volunteer for multiple types of organisations in an effort to determine which organisations are competing for the same volunteers. More specifically:
• Factor analyses are computed and four segments of volunteers are identified: ‘altruists’, ‘leisure volunteers’, ‘political volunteers’ and ‘church volunteers’;
• Positioning maps are constructed to illustrate the proximity of each organisation type in relation to key competitors; and
• Detailed profiles are provided for each segment to provide insight into the nature of the groupings.

Copyright © 2006 John Wiley & Sons, Ltd.     

High reliability Human Resource Management (HRM): A system for high risk workplaces

High Performance Work Systems (HPWS) research is based on the search for the most suitable bundle of complementary practices appropriate for the organisation and its operating environment. We examine the contents of a HPWS in organisations seeking impeccable safety and reliability as their foremost ‘performance’ outcome. We propose a ‘High Reliability HRM’ framework, and examine the degree of implementation in a three case study of Australian state emergency services organisations. The findings highlight HRM practices inconsistent with the framework, and illustrated by rich interview accounts, we detail associated negative implications for employee behaviour and attitudes. We contribute to HPWS research by empirically examining how reliability-seeking organisations conceptualise and implement HRM systems. This study emphasises how inconsistency in HRM practice bundles can pose a threat to reliable service provision, a critical finding for emergency services and reliability-seeking organisations more broadly.     

Participation of suppliers in greening supply chains: An empirical analysis of German automotive suppliers

The public increasingly holds companies accountable for environmental misbehavior in their supply chains. To offset that risk corporations start initiatives to green their supply chains. Yet suppliers often fail to properly participate in these initiatives. This paper presents a conceptual framework to explain supplier participation in green initiatives, by investigating customer requirements, supplier readiness, relational norms and customer investment as possible drivers. The framework and hypotheses were tested using survey data of 54 German automotive suppliers. Partial least squares methodology was deployed for hypothesis testing. The study found supplier readiness and customer requirements to be significant drivers in supplier participation. Relational norms and customer investment did not per se yield significant importance for explaining supplier participation, but when taking into account firm size, the data suggests that cooperative relation norms and customer investment work as an additional driver in green supply chain management for larger suppliers. This research is one of the few studies that explore drivers for supply chain participation at the supplier's level.     

Industry 4.0 and circular economy practices: A new era business strategies for environmental sustainability

Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy (CE) practices and prevailing business models. Recognize the same; this study examines the role of blockchain technology in circular CE practices and their impact on eco-environmental performance, which influences organizational performance. The study collects data from 404 enterprises located in Chinese and Pakistani territories, involved in cross-border supply chain operations. Both countries' sample has great relevance due to the China Pakistan Economic Corridor (CPEC), which possesses several positive fallouts in terms of technology spillovers across firms. Using the partial least squares structural equation modeling (PLS-SEM) modeling framework, this study provides three key findings. First, BCT significantly improves the circular economy practices (circular procurement, circular design, recycling, and remanufacturing). Second, CE practices help improve firms' environmental performance and stimulate their financial performance. Third, higher eco-environmental performance significantly boosts organizational performance. This study sets out the foundations for participating countries/firms that simultaneously achieve financial and sustainable goals by integrating blockchain technology in circular economy practices.