Environmental Supply-Chain Management in the Computer Industry:A Transaction Cost Economics Perspective

Our article uses the theory of transaction cost economics as a conceptual basis for examining the contracting mechanisms by which firms in the computer industry structure programs to encourage their suppliers to improve their environmental management systems and/or the environmental quality of their products. We explore the economic transactions hazards associated with asking suppliers to invest in the specialized technologies required to improve environmental performance of products and management practices and the relational contracting mechanisms computer industry firms are using to protect themselves against these hazards. We also describe the importance the managers we interviewed attributed to various transactions hazards and their perceptions of how well their firms were coping with them. We conclude by discussing questions for future research. By using TCE to frame our analysis of how computer manufacturers are structuring their relationships with their suppliers in the environmental area, we hope to show how social science theory can be used to enrich and increase the practicality of the work done by engineers and others in the mainstream areas of the industrial ecology field.     

Longitudinal Analysis of the Eco‐Design Management Standardization Process in Furniture Companies

This article discusses how eco‐design management standards have been adopted and the environmental and economic results that have been obtained by the Spanish furniture manufacturers. This is precisely the industry sector in Spain where the dissemination of eco‐design standards has been most important. Using multiple case‐study methodology, the research has shown that, in three companies, more than 90% of the environmental impact of the companies’ products occurs within the manufacturing phase. Companies have implemented tools for life cycle assessment with eco‐indicators values that allow them to assess complex products and evaluate their significant environmental impacts at each stage. The environmental strategies of these companies are based on the continuous improvement of the internal processes and the review and monitoring of their activities. In this approach, the proper choice of materials and the environmental management of the supply chain are the main problems for companies. The outcomes achieved by the companies included some improvements, such as a greater control of product management and a reduction in operating costs, that have allowed them to obtain competitive advantages. Moreover, the adoption of standard management has enabled the companies to drive innovation of products, improve the image of companies and their products, significantly reduce the environmental impact of their products, and adapt to new, more demanding environmental laws and regulations.     

Application of Life Cycle Assessment for the Environmental Certificate of the Mercedes-Benz S-Class (7 pp)

Background, Aims and Scope Life cycle assessment (LCA) is used as a tool for design for environment (DfE) to improve the environmental performance of the Mercedes Car Group products. For the new S-Class model a brochure including an environmental certificate and comprehensive data for the product was published for the first time. The paper explains the use of LCA for these applications and presents exemplary results. Methods The environmental certificate brochure reports on processes, data and results based on the international standards for life cycle assessment (ISO 14040, ISO 14041, ISO 14042, ISO 14043), for environmental labels and declarations (ISO 14020, ISO 14021) and for the integration of environmental aspects into product design and development (ISO 14062), which are accepted by all stakeholders. Results and Discussion The compliance with these international standards and the correctness of the information contained in the certificate were reviewed and certified by independent experts. The global warming potential (GWP 100 years) of the new S-Class vehicle was reduced by 6%, the acidification potential by 2%, the eutrophication potential by 13% and the photochemical ozone creation potential by 9%. In addition, the use of parts made from renewable materials was increased by 73 percent to a total of 27 parts with a weight of about 43 kilograms. A total of 45 parts with a weight of 21.2 kilograms can be manufactured using a percentage of recycled plastics. Conclusion The application of LCA for DfE is fully integrated as a standard function in the vehicle development process. The DfE/LCA approach at the Mercedes Car Group was successful in improving the environmental performance of the new S-Class. It is shown that the objective of improving the environmental performance of the new S-Class model, compared to the previous one, was achieved. Recommendation and Outlook Vehicles are complex products with very complex interactions with the environment. Therefore, simple solutions, e.g. pure focus on fuel economy or light weighting or recycling or single material strategies, are bound to fail. It is a main task of DfE and LCA to take this fact into account and come up with more intelligent solutions. The application of LCAs for DfE and their integration as standard practice in the product development process is both the most demanding and the most rewarding. It requires a substantial effort to acquire the know-how, the data, the experience and the tools needed to generate meaningful results just in time. However, this is the way how LCA and DfE can add value – they have to be 'built' into the product.     

Information and Communication Technology‐Enabled Low Carbon Technologies

This article outlines the subsector of the information and communication technology (ICT) industry concerned with reducing the economy's environmental impact, dubbed ICT‐enabled low carbon technologies (ICTeLCTs). The article is based on a study funded by United Kingdom (UK) Trade and Investment, a division of the UK Department for Business, Innovation and Skills. ICTeLCTs can be segmented into specialist and generalist operators. Specialists focus on one or two ICT applications to monitor or reduce environmental issues, while generalists supply products and services enabling a firm or a private household to reduce the environmental impact of its activities. The subsector can be further segmented into green ICT, energy management, building management, carbon accounting, waste management, intelligent transport systems (ITSs), and water management. The main factors driving ICTeLCTs include legislation, voluntary environmental standards, corporate social responsibility (CSR) activities, customer demand, and competitive market factors. Policy makers should continue to drive the growth of ICTeLCTs with the introduction and refinement of environmental legislation regulating energy use and markets.     

Corporate sustainability for architecture engineering and construction (AEC) organizations: Framework,transition and implication strategies

This research aims to propose a regenerative sustainability framework for AEC organizations, not only to focus on delivering green certified projects, but to encourage a revitalized approach to systematically drive their sustainability initiative. To achieve this aim, the study conducts an extensive global review of sustainable assessment systems in various industries and organizations, such as corporate sustainable reports, green company competitions, and green-renowned stocks. After learning the best practices from other industries, a sustainable development framework for the AEC organizations is developed. The proposed framework constitutes 110 key indicators covering three-dimensions of sustainability—social, environmental, and economic, respectively—and four-elements of corporate development essentials—projects, operations, governance, and stakeholders. By comparing the proposed framework to existing AEC practices, the study identifies the skewed development of corporate sustainability in the AEC industry where much awareness have been given to project-level environmental matters, but the social dimension, such as social stakeholders and social governance, are seriously lacking and need to be prioritized. A case study of a multi-millions construction company in China was investigated to validate this framework in practice. The case analysis justifies the practical value of the proposed framework, and elaborates the future need of regenerative sustainable initiatives for AEC organizations. The study contributes to the development of corporate sustainability theory in the AEC industry, and also provides industrial practitioners and policy makers with a better understanding of the next generation of corporate sustainable performance and implementation strategies.     

Using Interorganizational Information Systems to Support Environmental Management Efforts at ASG

We examine use of environmental information systems by ASG AB (hereafter ASG), an international logistics and transport firm headquartered in Stockholm, Sweden, as a case study to illustrate the role of information systems in life-cycle-oriented environmental management. This case provides an example of how a firm can use interorganizational information systems (IOISs) to move toward environmentally sustainable business practices. Through the use of IOISs, ASG has been able to improve its environmental performance and that of its suppliers. Further, this improved environmental performance has been a competitive advantage for ASG and enabled it to attract new business. As such, ASG's experiences illustrate how aggressive practices move environmental management beyond compliance and cost control, at which many firms have been successful, to revenue generation. The case also shows how environmentally sustainable business practices can be integrated into a firm's strategy. In addition to illustrating how ASG has used IOISs to improve environmental performance, we compare their use of environmental ISs with the expected evolution of environmental ISs presented in the Shaft and colleagues (1997) framework. Although some of ASG's experiences verify the expected progression of these types of systems, some developments are not as expected. These differences have implications for the framework.     

Using Realistic Evaluation to understand how interventions work on dairy farms

Interventions that aim to help farmers change on-farm practices recommend that advisors communicate effectively with farmers, work collaboratively to set goals and provide farmers with resources that are applicable to the farm context. We developed an intervention that aimed to help farmers modify and use a standard operating procedure (SOP) for colostrum management; failure of passive transfer of immunoglobulins is common on dairy farms and SOPs for colostrum management are increasingly required by farm animal welfare assurance programs. We used Realistic Evaluation to evaluate whether, how and why our intervention to help farmers modify and use SOPs for colostrum management facilitated change and provide recommendations based on our approach that can improve the design and implementation of future interventions. We used a multiple case study on five farms over 8 months, collecting data through interviews, participant observation, document analysis and field notes. We identified three mechanisms that influenced whether participants modified and used their SOP. The purpose mechanism distinguished between participants who thought the aim of the SOP was for farm staff to learn and understand how to complete a task versus those who thought that the SOP was only useful for compliance with assurance programs. The utility mechanism distinguished between participants who thought that the SOP would be helpful for daily use on their farm, versus those who did not. The physical text mechanism distinguished between participants who used the templates we provided to modify and use their SOP, versus those who did not. A key contextual factor on all farms was participant belief of having capable and engaged staff on their farm; modification and use of the SOP did not occur unless this was the case. To facilitate change, intervention developers should actively participate in the intervention to develop an understanding of farmer needs, understand the purpose behind different goals set by farmers and integrate tools, advice and resource demonstrations when possible. We conclude that Realistic Evaluation is a useful framework for evaluating how contexts and mechanisms generate outcomes on farms, and to understand how, and in which contexts, complex interventions facilitate change. We suggest that this approach can improve the success of interventions and help direct the approaches used on different farms.     

Talking with the Donkey: Cooperative Approaches to Environmental Protection

In recent years, governments throughout the world have expressed growing interest in cooperative approaches to environmental protection, including negotiated rulemaking, flexible approaches t o enforcement, and voluntary codes and agreements. It is often argued that cooperative approaches are more cost effective, more conducive t o innovation, and better able t o promote fundamental attitudinal change than traditional "command and control" regulation. However, the overly broad term "cooperative approaches" fails t o acknowledge fundamental differences among these novel po I icies, including distinct ions between mandatory and voluntary programs and between those that involve bipartite negotiations between government and business and those that invite participation by a broader range of interests. This article analyzes these cooperative approaches first by offering a framework to distinguish among various cooperative policy instruments. Second, the article critically examines theoretical arguments and empirical evidence concerning one class o f cooperative approaches, voluntary challenges and agreements. The most striking finding is how little we know about the effectiveness of voluntary approaches. This is a function not only of the quite recent experience with these approaches, but also of more fundamental inattention t o program evaluation and obstacles to evaluation inherent in voluntary programs. The article concludes with a call for a more rigorous program of research to examine the effectiveness of the new policy instruments and t o compare them with traditional regulation and market-based incentives.     

Risk Analysis Modeling of Production Costs and Occupational Health Exposure of Single‐Wall Carbon Nanotube Manufacturing

Considerable uncertainty exists about occupational risks, future environmental health and safety (EHS) standards, and associated production and compliance costs for single‐wall carbon nanotube (SWNT) manufacturing processes. We propose and illustrate the use of risk analysis Monte Carlo (MC) models to assess cost and exposure trade‐offs of the high‐pressure carbon monoxide (HiPco) SWNT manufacturing process given these uncertainties. Assumptions regarding the timing, frequency, magnitude, and expense of EHS standards are modeled as stochastic events and examined for their impact on the expected values, variances, and probability distributions of total production costs and occupational exposure. With a better understanding of associated risks, these models can help policy makers and manufacturers explore potential EHS benefits, consequences, and trade‐offs. For example, results suggest that voluntary implementation of a low level of protection (rather than none at all) can lead to reduced cost and exposure uncertainty with insignificant increases in production costs, as well as lowering total manufacturing and liability costs, depending on the assumptions made. Conversely, slower implementation rates of higher standards produce greater uncertainty in long‐term costs and exposure. More generally, the results of this study underscore three important observations: (1) Expected costs alone are insufficient for informed decision making; (2) the best level of standards, overall cost, and optimal voluntary standards are highly dependent on uncertain health effects; and (3) the resultant amount of uncertainty in total costs and exposure can be extreme.     

Information-Based Manufacturing with the Web

Manufacturing has been evolving over the years as different needs and technologies arise. This paper describes an emerging manufacturing technology driven by information systems, the global network infrastructure, and new business models driven by the availability of real-time information. Information-based manufacturing concerns using the right information to know what products to make, when to make them, and then making them the best possible. This becomes more complicated when a number of products, facilities, markets, and companies are involved. More than just information is needed. Connectivity, ability to coordinate and integrate, and implementation strategy all are important. Information systems provide the infrastructure to carry out these objectives. Because of the need for an effective information infrastructure, the Internet has the potential to further enhance information-based manufacturing. Information-based manufacturing can be efficient only when the underlying supply-chain network is run efficiently, for the supply chain provides the infrastructure for directing all the activities from receiving raw materials to the delivery of final products. This paper illustrates how the Web technology can help coordinate the supply-chain activities in manufacturing. It also illustrates the relationships between product types, supply-chain structures, information-sharing, coordination, and the Web.     

Life cycle assessment standards

The newly emerging LCA standards provide an opportunity to review and improve upon the current LCA methodology. As more industrial practitioners enter the arena, the opportunity arises to not only demand environmental improvement from industrial service and product providers but also to fill LCA data gaps. A framework is suggested for improvement in the current LCA framework that focuses on the business relationships of the industrial practitioner. The framework seeks to promote environmental improvement from industrial sectors through the identification of state-of-the-art technologies used throughout a life cycle. Basing LCAs on the best performers in an industry will create a market for a high level of environmental performance, disperse the responsibility of inventory data gathering, and improve upon the advancements already anticipated through the widespread application of LCA.     

Nematology—Status and Prospects: Practical Implementation of Quantitative Approaches to Nematology

The main components of the decision process in nematode pest management are the value of the predicted damage and the cost of the management alternative. The relationships involved are affected by such environmental parameters as soil texture and physiographic region. There is a general intuitive understanding of the nature of the relationships and of the effects of the environmental parameters. Some nematode damage functions have been developed through quantitative research. A conceptual framework is developed herein which promotes rational use of available experimental results, supplemented by intuitive understanding of nematodes and crops, in arriving at a pest management decision. Gaps in available data point the need for additional research within the framework. The approach allows and encourages immediate implementation. Interactive computer programs are seen as a potential vehicle for weighting the variables involved in the decision and for storing, manipulating, and delivering the necessary data funcand information.     

Helias A. Udo De Haes: A Practical Scientist

Goal, Scope and Background The importance of the social dimension of sustainable development increased significantly during the last decade of the twentieth century. Industry has subsequently experienced a shift in stakeholder pressures from environmental to social-related concerns, where new developments in the form of projects and technologies are undertaken. However, the measurement of social impacts and the calculation of suitable indicators are less well developed compared to environmental indicators in order to assess the potential liabilities associated with undertaken projects and technologies. The aim of this paper is to propose a Social Impact Indicator (SII) calculation procedure based on a previously introduced Life Cycle Impact Assessment (LCIA) calculation procedure for environmental Resource Impact Indicators (RIIs), and to demonstrate the practicability of the SII procedure in the context of the process industry in South Africa. Methods A framework of social sustainability criteria has been introduced for the South African process industry. The social sub-criteria of the framework are further analyzed, based on project and technology management expertise in the South African process industry, to determine whether the criteria should be addressed at project or technology management level or whether they should rather form part of an overall corporate governance policy for new projects and technologies. Furthermore, the proposed indicators for criteria that are considered appropriate for project or technology evaluation purposes are constrained by the type of information that is available, i.e. the calculation methodology relies on the availability of regional or national social information where the project will be implemented, as well as the availability of project- or technology-specific social information during the various phases of the project or technology development life cycle. Case studies in the process industry and statistical information for South Africa are subsequently used to establish information availability for the SII calculation procedure, demonstrate the SII method together with the RII method, and determine the practical use of the SII method. Results and Conclusion The case studies establish that social footprint information as well as project- and technology social data are not readily available in the South African process industry. Consequently, the number of mid-point categories that can be evaluated are minimal, which results in an impaired social picture when compared to the environmental dimension. It is concluded that a quantitative social impact assessment method cannot be applied for project and technology life cycle management purposes in industry at present. Recommendation and Perspective Following the outcomes of the case studies in the South African process industry, it is recommended that checklists and guidelines be used during project and technology life cycle management practices. Similar to the environmental dimension, it is envisaged that such checklists and guidelines would improve the availability of quantitative data in time, and would therefore make the SII procedure more practical in the future.     

How City Dwellers Affect Their Resource Hinterland

This article links databases on household consumption, industrial production, economic turnover, employment, water use, and greenhouse gas emissions into a spatially explicit model. The causal sequence starts with households demanding a certain consumer basket. This demand requires production in a complex supply-chain network of interdependent industry sectors. Even though the household may be confined to a particular geographical location, say a dwelling in a city, the industries producing the indirect inputs for the commodities that the household demands will be dispersed all over Australia and probably beyond. Industrial production represents local points of economic activity, employment, water use, and emissions that have local economic, social, and environmental impacts. The consumer basket of a typical household is followed in Australia's two largest cities—Sydney and Melbourne—along its upstream supply chains and to numerous production sites within Australia. The spatial spread is described by means of a detailed regional interindustry model. Through industry-specific emissions profiles, industrial production is then translated into local impacts. We show that annually a typical household is responsible for producing approximately 80 tonnes of greenhouse gas emissions, uses around 3 million liters of water, causes about A$140,000 to circulate in the wider economy, and provides labor worth just under three full-time employment-years. We also introduce maps that visually demonstrate how a very localized household affects the environment across an entire continent. Our model is unprecedented in its spatial and sectoral detail, at least for Australia.     

Same Supply Chain,Different Models: Integrating Perspectives from Life Cycle Assessment and Supply Chain Management

Within industrial ecology, there is a substantial community focusing on life cycle assessment (LCA) and corresponding tools and methods. Within the field of supply chain management, an increasing community is converging around sustainable supply chains. These two communities study the same underlying systems, but bring different perspectives to bear. We review seven issues that arise at this intersection of LCA and supply chain management, with the aim of illustrating how both communities can enrich each other by closer interaction. We conclude with some suggestions for how the two communities can further collaborate.     

An industry survey of implementation strategies for clinical supply chain management of cell and gene therapies

Background aimsThe novelty of cell and gene therapies (CGTs) has introduced unique supply chain challenges and considerations not seen by chemically synthesized (small-molecule) drugs. These complexities increase during the clinical phases, where drug safety and efficacy milestones are still underdeveloped. For example, for autologous therapies such as chimeric antigen receptor T-cell therapies, in which the treatment is developed from the patient's own cells, supply chain management plays an integral role in chemistry, manufacturing and control processes. Supply chain management requires proactive planning because of the strict cold chain requirements and time sensitivity of CGTs. This research examines strategies and responses to challenges experienced by industry stakeholders (e.g., sponsors and manufacturers) during the implementation phases of clinical supply chain management. This research further evaluates the adequacy of the current regulatory framework for distribution and supply chain management of CGTs in the US.MethodsA survey methodology was used to query subject matter experts from the biopharmaceutical industry who were familiar with the clinical supply management of CGTs in the US. The survey instrument was developed using an implementation framework and disseminated electronically to mid- and senior-level subject matter experts who had experience with clinical trials, supply chain management and CGTs.ResultsA total of 128 respondents accessed the survey, and 105 respondents answered at least one question. Seventy-five respondents completed the survey. Results showed that a lack of harmonization in regulations across the supply chain, limited resources, challenges with vendor management, high costs and complexities in the supply chain due to product specificity and customization proved to be impediments for the industry. In addition, the coronavirus disease 2019 pandemic had a significant impact on supply chain implementation. The results revealed that less than half of the respondents had business continuity plans in place. These challenges increased for smaller and mid-size organizations. Thirty percent of small and mid-size organizations were less prepared to scale up than larger companies.ConclusionsSuggestions from industry stakeholders were to adopt and enforce Good Distribution Practices in the US (81%), pre-plan distribution strategies with internal and external stakeholders along the supply chain and develop agile systems and robust processes end to end. Hurdles in scaling up and scaling out from the clinical to commercial phases for time- and temperature-sensitive CGT products make it difficult to predict the supply chain's long-term feasibility. Although there are initiatives to improve these impediments, such as improving industry partnerships and creating global CGT transportation standards, there are still regulatory knowledge gaps present for CGTs. Therefore, it is essential to establish a baseline and foundation for CGT supply chains extending beyond the loading dock.     

Linking Industrial Ecology with Business Strategy: Creating Value for Green Product Design

As organizations practice environmental design, some discover green design positively impacts business performance. This article demonstrates how an organization can employ existing design methods and tools with the Kano technique to craft an environmental product design strategy that enhances its business strategy. These tools expand the toolbox of the industrial ecologist and enable the link between green design and business improvement. The Kano technique was developed in the 1980s to facilitate design of innovative products. We also introduce terminology and concepts such as “voices of the environment,”“environmental knowledge management,”“environmental profile,” and “environmental product attribute” in order to bridge the gap between industrial ecology and business concerns. To demonstrate how an organization can find the synergy between business value and environmental value, this article describes three activities and their corresponding tools and exhibits their use with industry examples. First, we present techniques by which designers can identify and prioritize customers and stakeholders who voice both environmental and business concerns. Second, we describe how voice‐of‐the‐customer translation techniques can be used to efficiently collect and translate data from these customers and stakeholders into critical environmental product and service attributes. Third, we discuss how the Kano technique can be used to connect green design to business strategy by making visible the variety of stakeholder and customer perceptions of these critical environmental attributes. Examples then demonstrate how those perceptions suggest appropriate approaches for integrating the critical environmental attributes into product and business strategy. Finally, we provide examples based on work done with General Electric Medical Systems (GEMS) to illustrate the design of products that improve environmental performance while adding greater perceived value for numerous customers along material‐flow value chains.     

Applying Ecological Input-Output Flow Analysis to Material Flows in Industrial Systems: Part I: Tracing Flows

Input-output mathematics, which allows a modeler to fully consider direct and indirect relationships among conserved flows in a system, has a long history in economics with prominent use dating to Leontief in the 1930s. Nearly all previous industrial applications of input-output analysis have been grounded in the monetary flows of an economy. Here however, because of the central nature of physical flows in the environmental impact of industry, we consider physical flows to be a fundamental component of an industrial economy. Hence, we propose an input-output based approach for modeling physical flows in industry independent of their monetary implications.
In this first part of a two-part article, a framework for using input-output mathematics to model material and energy flows is constructed from a foundation laid by previous research in nutrient and energy cycling in natural ecosystems. The mathematics of input-output flow analysis is presented from an ecological perspective, culminating in two core capabilities: tracing of flows with environs (investigated in this article) and characterizing system behavior with flow metrics (presented in the second article). We assert that environ analysis is an effective means for tracing flows through industrial systems while fully considering direct and indirect flow paths. We explore material flows of aluminum and five other metals in depth using environ analysis in this article.     

Adaptive management: a synthesis of current understanding and effective application

Summary Adaptive management (AM) remains a commonly cited, yet frequently misunderstood, management approach. The aim of AM is to improve environmental management through ‘learning by doing’ and understand the impact of incomplete knowledge, but AM more commonly consists of ad hoc changes in managing environmental resources in the absence of adequate planning and monitoring. Here, we trace and review the development of AM, the central roles of consultation, collaboration and of monitoring, and of quantitative models and simulations. We identify a series of formalized, structured steps included in one AM cycle and review how current AM programs build upon such cycles. We conclude that the best AM outcomes require rigorous and formalized approaches to planning, collaboration, modelling and evaluation. Finally, simulating potential outcomes of an AM cycle in the presence of existing uncertainty can help to identify management strategies that are most likely to succeed in relation to clearly articulated goals.     

The art and science of multi-scale citizen science support

Citizen science and community-based monitoring programs are increasing in number and breadth, generating volumes of scientific data. Many programs are ill-equipped to effectively manage these data. We examined the art and science of multi-scale citizen science support, focusing on issues of integration and flexibility that arise for data management when programs span multiple spatial, temporal, and social scales across many domains. Our objectives were to: (1) briefly review existing citizen science approaches and data management needs; (2) propose a framework for multi-scale citizen science support; (3) develop a cyber-infrastructure to support citizen science program needs; and (4) describe lessons learned. We find that approaches differ in scope, scale, and activities and that the proposed framework situates programs while guiding cyber-infrastructure system development. We built a cyber-infrastructure support system for citizen science programs (www.citsci.org) and show that carefully designed systems can be adept enough to support programs at multiple spatial and temporal scales across many domains when built with a flexible architecture. The advantage of a flexible, yet controlled, cyber-infrastructure system lies in the ability of users with different levels of permission to easily customize the features themselves, while adhering to controlled vocabularies necessary for cross-discipline comparisons and meta-analyses. Program evaluation tied to this framework and integrated into cyber-infrastructure support systems will improve our ability to track effectiveness. We compare existing systems and discuss the importance of standards for interoperability and the challenges associated with system maintenance and long-term support. We conclude by offering a vision of the future of citizen science data management and cyber-infrastructure support.