Supplier Development Practices for Sustainability: A Multi‐Stakeholder Perspective

Supplier development for sustainability is a critical element of sustainable supply chain management and requires extensive multi‐stakeholder collaboration. This article establishes a conceptual four‐stage framework to analyse the collaborative mechanisms of supplier development practices, and presents an exploratory, qualitative analysis to identify the major contributors of sustainable supplier development practices, such as NGOs, industrial associations, consulting firms etc. Based on semi‐structured interviews about 63 organizations from different regions and industries, this article identifies three types of contributor: drivers, facilitators and inspectors. Instead of traditional stakeholder engagement processes, these contributors actively collaborate with buying firms and suppliers to design, implement and evaluate sustainable supplier development programs. The article then provides a matrix to describe the supply chain coverage and supplier performance of supplier development practices, given the absence or positive involvement of facilitators and inspectors. We conclude our study by suggesting future research directions as well as discussing managerial implications. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments

The reproducibility crisis, that is, the fact that many scientific results are difficult to replicate, pointing to their unreliability or falsehood, is a hot topic in the recent scientific literature, and statistical methodologies, testing procedures and p‐values, in particular, are at the centre of the debate. Assessment of the extent of the problem–the reproducibility rate or the false discovery rate–and the role of contributing factors are still an open problem. Replication experiments, that is, systematic replications of existing results, may offer relevant information on these issues. We propose a statistical model to deal with such information, in particular to estimate the reproducibility rate and the effect of some study characteristics on its reliability. We analyse data from a recent replication experiment in psychology finding a reproducibility rate broadly coherent with other assessments from the same experiment. Our results also confirm the expected role of some contributing factor (unexpectedness of the result and room for bias) while they suggest that the similarity between original study and the replica is not so relevant, thus mitigating some criticism directed to replication experiments.     

Measuring industrial upgrading: applying factor analysis in a global value chain framework

ABSTRACT

A key question for promoting international competition is how to improve the position of countries and industries in global value chains (GVCs). The first step is to properly measure industrial upgrading in GVCs. This is not a trivial issue because upgrading has not been defined unambiguously. Several authors have used different (and sometimes related) measures, all of which indicate certain aspects of upgrading. Rather than trying to find the single, ultimate measure of upgrading, we propose a different approach. We examine the multidimensionality of industrial upgrading, using eight indicators in factor analysis. Four of the eight indicators adopt the GVC perspective and include, for example, the growth of the share in value-added exports. We provide three quantitative dimensions of industrial upgrading: process upgrading, product upgrading, and skill upgrading. With these dimensions, we compare and analyze the upgrading of different countries and industries using the World Input–Output Database.     

Sustainable dressing: Consumers' value perceptions towards slow fashion

Slow fashion that improves with an increasing awareness of sustainability has changed consumers' value perception and purchasing behaviours. The aim of this study is to determine slow fashion dimensions that influence consumers' value perceptions for slow fashion products and to reveal the effects of the perceived value on consumers' intentions to purchase and willingness to pay higher prices. The sample includes 725 students pursuing higher education in Turkey and Kazakhstan. Exploratory and confirmatory factor analyses were used to specify the factor structure of the variables used in the research, and structural equation modelling was used to test the hypotheses. Data analysis showed that authenticity, locality, and exclusivity aspects in Turkey and equity, functionality, locality, and exclusivity aspects in Kazakhstan contributed to perceived customer value. Perceived customer value in both groups positively affects the intention to purchase and the willingness to pay higher prices. In addition, consumers who intend to purchase slow fashion clothing are willing to pay higher prices than other products. The results suggest that consumers in different countries have different orientations that influence their perceptions of value. From this perspective, this study can provide designers with insights on the importance of making sustainable designs that are appropriate to the target market beyond the trends imposed by the global fashion industry.     

基于价值流图析的生产线连续流创建

针对M企业A生产线在制品积压、交付周期长等问题，通过现状价值流图分析其原因，提出在考虑改善效益大于投入成本的条件下，选择合适的自动化水平，以克服物料供应不及时、工艺特性等制约因素。从工艺流程、布局、工装等方面进行改善并绘制未来价值流图，创建生产线连续流。生产线连续流创建后，生产周期缩短了13天、搬运距离减少41m、车间面积节省约168m2、作业人数减少6人，为企业降本增效打下了坚实基础。     

The effect of shared auditors in the supply chain on cost stickiness

Do supply chain audits have real effects?We focus on the effect of shared auditors in the supply chain on corporate cost stickiness.When a supplier shares audit...     

COMPARING PPP WITH TRADITIONAL PROCUREMENT: THE CASE OF SCHOOLS PROCUREMENT IN IRELAND

Advocates of public‐private partnerships (PPPs) argue that they can deliver public infrastructure more efficiently than traditional procurement through timelier completion and superior value for money. Despite these claims comparative analysis of the performance of both procurement methods has received scant attention in the PPP literature to date. This paper addresses this issue by providing an in‐depth, case‐based comparison of PPP versus traditional procurement in the schools sector in Ireland. Through detailed semi‐structured interviews with key stakeholders and an examination of the available documentation, we assess whether the key objectives of using PPP have been achieved. Overall, we find no evidence that PPP leads to faster delivery of infrastructure when the overall procurement process from contract notice to delivery is accounted for. In addition, we find only limited evidence to suggest that PPP results in better value for money.     

产业互联下基于双循环的供应链合作稳定性研究

以一条由制造商和零售商组成的二级供应链为研究对象,通过测算产业互联度与双循环程度,研究对供应链合作稳定性的影响.研究发现:在国内环境中,产业互联度与内循环程度呈正比关系,产业互联度越高,内循环程度越高;内循环度程度提高,内需扩大,供应链上的企业选择合作时的整体收益要大于不合作时的收益,因此达到供应链长期稳定合作.通过从国内角度寻找出的规律应用于国际供应链中,为企业参与全球经济提供启示.     

Transboundary pollution externalities: Think globally,act locally?

We analyze the implications of transboundary pollution externalities on environmental policymaking in a spatial setting, in which pollution diffuses across the global spatial economy independently of the specific location in which it is originally generated. This framework gives rise to a simple regional optimal pollution control problem allowing us to compare the global and local solutions in which, respectively, the transboundary externality is and is not taken into account in the determination of the optimal policy by individual local policymakers. We show that it is not obvious that transboundary externalities are a source of inefficiency per se since this is strictly related to the spatial features of the initial distribution of pollution. If the initial pollution distribution is spatially homogeneous then the local and global solutions will coincide and thus no efficiency loss will arise from transboundary externalities, but if it is spatially heterogeneous the local solution will be suboptimal and thus a global approach to environmental problems will be needed to achieve efficiency. From a normative perspective, in this latter (and most realistic) case we also quantify the amount of policy intervention needed at local level in order to achieve the globally desirable goal of pollution eradication in the long run. Our conclusions hold true in a number of different settings, including situations in which the spatial domain is either bounded or unbounded, and situations in which macroeconomic–environmental feedback effects are taken into account.