Corporate Social Responsibility (CSR) in China has undergone an evolution. This evolution reflects China's economic transformation and global integration. Our chapter overview explores the corporate environmental sustainability landscape of CSR in Chinese businesses, emphasizing corporate roles in addressing environmental, social, and governance (ESG) related CSR issues. China's growing economy has spurred awareness of the importance of responsible business conduct. For over two decades, Chinese companies have integrated sustainability principles into their operations. Government pressures and initiatives have driven corporate environmental sustainability, motivating businesses to adopt environmentally friendly practices and contribute to social welfare. Challenges remain. Improved communication, transparency, and deeper integration of principles into smaller enterprises are only some of the manifold issues. Given the complexity of CSR in China, we focus more on environmental corporate sustainability concerns, primarily touching on major issues related to governmental policies, current corporate environmental sustainability practices, and future directions. Exemplary literature across various topics is presented to help provide greater insight into past, current, and future concerns.
The thoroughly revised second edition of this authoritative Handbook, complete with new chapters, comprehensively examines the current status and future directions of model-based systems in decision support and their application to sustainable development planning.
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Reverse logistics network design (RLND) is getting momentum as more organizations realize the benefits of recycling or remanufacturing of their end-of-life products. Similarly, there is an impetus for organizations to become more environmentally conscious or green. This environmental context has driven many organizations to invest in green technologies, with a recent emphasis on reducing greenhouse gas emissions. This environmental investment situation and decision can be addressed through the integration of facility location, operational planning, and vehicle type selection, while simultaneously accounting for carbon emissions from vehicles, inspection centers, and remanufacturing centers in a reverse logistics (RL) context. In the current study, we present a mixed-integer linear programming (MILP) model to solve a multi-tier multi-period green RL network, including vehicle type selection. This research integrates facility locations, vehicle type selection with emissions producing from transportation and operations at various processing centers. Prior research does not account for carbon emissions for this design problem type. Valuable managerial insights are obtained when incorporating carbon emissions cost.
This paper reviews a wide range of literature on the investment justification of Advanced Manufacturing Technologies (AMTs). It provides an updated and a comprehensive perspective of the issues surrounding the problem of investment justification of AMT and provides some direction for future research such as the design and development of standard modules of the hardware elements comprising AMT, the need to popularise the use of Activity-Based Costing (ABC) systems, and pooling information from different users of AMT across the globe, which could be used for technology appraisal and also for ascertaining the expected benefits from a certain level of technology. As well, evolutionary characteristics and future directions of AMT appraisal and justification approaches are described with research directions identified.
I read through this work, and it is an interesting perspective. It focuses on what has been defined as an emancipatory theoretical perspective. It seeks to integrate political, law, and social thought into the typical technical, business, and analy...
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Emergy accounting has existed for decades. Emergy evaluates the donor side contribution of nature at region or country, macro-level analyses. It has been rarely applied and considered for organizational or supply chain management. In this study we provide an introduction and background on how emergy accounting analysis can be adjusted and applied at the supply chain level. Supplier selection is the example supply chain application for which actual emergy measures are used. The purpose of this study is to introduce the concept as a valuable tool for investigation by operations and supply chain management scholars and practitioners. The application provides some initial insight. This work at the nexus of sustainable supply chains and performance measurement is an initial study with significant future opportunities. These opportunities include effectively internalizing environmental and resource externalities for more thoughtful business models and evaluations. Implications and future research directions are summarized for this important, yet understudied field. It contributes by expanding the supplier performance measurement field.
This paper investigates the challenges and opportunities of how firms and organizations can and will be able to strike a better balance between economic growth and environmental stewardship in the context of China’s emerging ‘circular economy’ policy paradigm and based on ecological modernization theoretic approaches. Based on three company case studies in the information technology and electronic industries in China, we identify and demonstrate how a blended business and environmental value can be created from adopting a sustainable supply chain management approach. The adoption of a sustainable supply chain management approach is rapidly becoming a key business challenge and opportunity in China and other large emerging economies around the world, where our greatest environmental management challenges currently reside and will continue to exist for many years to come. The value creation framework proposed in research focuses on evaluating three case study companies who appear in various stages of an electronic industry supply chain. Value creation within a supply chain can provide the impetus for organizations to adopt circular economy, sustainable supply chain practices, for competitive reasons. In addition, we describe how a value proposition can be evaluated at two levels of analysis, a more specific micro-level and a more general meso-level of analysis. The four major business value dimensions include cost reduction, revenue generation, resiliency, and legitimacy and image. The initial findings are that a variety of opportunities exist for electronic firms in emerging and developing countries, while results from this study provide an important scholarly foundation to develop and refine sustainable supply chain management practices in emerging and developing economies.
Blockchain technology has been widely touted for building and supporting supply chain management capabilities. The technology has substantial potential to enhance operational effectiveness and profitability. Blockchain platform evaluation and selection still requires investigation. Blockchain platform selection and adoption decision making in a multi-organizational supply chain context is complex. Effective blockchain adoption and operations requires consideration of multiple vendors—service providers—and platforms while satisfying multiple users and stakeholders. This study introduces a managerial decision support method to assist organizations evaluate and select joint blockchain service vendor and platforms for multiple organizational functions and organizations. Using literature and practice, we introduce blockchain service vendor and platform attributes from user, vendor, and platform perspectives. A social network theory lens sets the foundation for an innovative group decision-making method—a DEMATEL-based hierarchical best-worst method—integrating characteristics from this decision environment. The technological and distributed network nature of blockchain technology requires evaluation by decision makers from various levels of a supply chain network. These decision makers will likely have varying blockchain technology knowledge and subjective preferences that need integration. The proposed method helps to operationalize social network relationships to comprehend partial and idiosyncratic expert opinions about blockchain technology. An illustrative example and various scenarios are presented to identify managerial and research implications. Methodological limitations and future research are presented for this emergent managerial and technological concern across supply chains.
Monitoring and improving manufacturing processes involves identifying, investigating and eliminating problems responsible for inefficiencies in production operations. While statistical process control tools, such as control charts, are available for process monitoring at the operational level, methods for evaluating system performance from more strategic and tactical levels are limited. The traditional control charts that monitor a single process parameter at a time may not be appropriate in situations where interrelationships among various system measures exist. Although multivariate process control techniques allow for simultaneous monitoring of several process parameters, they require assumptions of independence and multivariate normality of data. In addition, their application has mostly been at an operational level. In order to assist managers in monitoring and improving manufacturing system performance, this paper proposes an individual control chart that monitors an integrated performance index generated from a non-parametric method, which effectively considers multiple performance measures and the relationships between them. The primary advantages of this method are that a single integrated measure can be monitored, does not require assumptions of independence and multivariate normality of data, and allows for the integration of decision-maker's input when the system measures that are monitored have unequal importance.
The term ‘agile manufacturing’ has referred to operational aspects of a manufacturing company concerning their ability to produce customized products at mass production prices and with short lead times. A core issue faced within agile manufacturing is the need for appropriate and supporting production and operations systems. Many design dimensions of agility and agile manufacturing exist. To help attain this goal for integrating the many design dimensions, operations infrastructure and capacity must be carefully planned to manage production flow, and thus production layout planning takes on an increasingly important role. Given the importance of these dimensions in response to agility, this paper seeks to make a contribution by providing insights into a decision aid for evaluating production flow layouts that support and enhance the agile manufacture of products. Layout design has a significant impact on the performance of a manufacturing or service industry system and has been an active research area for many decades. Strategic evaluation of production layouts requires consideration of both qualitative and quantitative factors (managerial, organizational, and technical). This paper makes use of the Analytical Network Process (ANP) which captures interdependencies among different criteria, sub-criteria and dimensions, an evident characteristic of production flow layouts in complex agile manufacturing environments. An application case study exemplifying the practical usefulness of this type of model describes how management, after implementation of the model, made a mid-course correction related to the production layout initially selected.
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTAchieving National Emission Reduction Target—China's New Challenge and OpportunityYong Geng†* and Joseph Sarkis†View Author Information† Circular Economy and Industrial Ecology Research Group, Key Lab on Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning Province, P.R. China 110016† Graduate School of Management, Clark University, Worcester, Massachusetts, United States*E-mail: [email protected]Cite this: Environ. Sci. Technol. 2012, 46, 1, 107–108Publication Date (Web):December 19, 2011Publication History Received30 November 2011Accepted5 December 2011Published online19 December 2011Published inissue 3 January 2012https://pubs.acs.org/doi/10.1021/es204293xhttps://doi.org/10.1021/es204293xnewsACS PublicationsCopyright © 2011 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views1650Altmetric-Citations40LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (740 KB) Get e-AlertscloseSUBJECTS:Environmental pollution,Fuels,Nitrogen,Oxides,Redox reactions Get e-Alerts
