Critical human and behavioral factors on the adoption of sustainable supply chain management practices in the context of automobile industry

Built upon the resource-based view, the study examines the critical human and behavioral factors (HBFs) on adopting sustainable supply chain practices in the automobile sector (AS). The Interpretive Structural Modeling (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is applied to understand the causeeffect relationships between (HBFs), evidenced by a case study in the automobile industry of India. The causeeffect relationships are informed by an expert team consisting of 18 members working in academia, the automobile industry, and professional consulting companies. The experts provided their inputs based on their direct experience and expertise in this subject matter. The research findings highlight that sustainable supply chain cost (end to end) is a critical success factor. Mangers in the AS should prioritize and focus on sustainable supply chain costs (end to end) to pursue sustainable practices because such critical success factors can foster information sharing behavior. The firms could develop both hard and soft critical HBFs such as Information technology (IT) infrastructure and employee training to build up HBFs to integrate a supply chain. The study provides insight to academicians, policymakers, and practitioners about critical HBFs and develops sustainability goals and policies accordingly.     

Sustainable Purchasing in Food Retailing: Interorganizational Relationship Management to Green Product Supply

Stakeholders’ demands for product sustainability redefine the focus of corporate purchasing strategies from the traditional concern with financial performance to considerations of ‘triple bottom line’ viability. This adds to the complexity of managing interorganizational relationships and poses a question regarding corporate ability to effectively leverage suppliers over environmental and social performance of supplied goods. Since it is not clear what type of purchasing relationship is more favorable for greening a product supply, the current paper aims to investigate how food retailers manage their relationships with suppliers in order to influence the environmental and social performance of procured goods and improve the availability of sustainably produced supply. The research is based on two case studies of Swedish supermarkets and supplementary semi‐structured interviews with Swedish, British and Danish supermarkets. The results of the study contribute to the existing body of academic knowledge in the field of sustainable supply chain management by developing a typology of sustainable purchasing relationships with detailed insights into the nature of collaborative practices, structure of incentives, sustainability ambition, and approaches to verification of compliance. The study has also revealed the dependence of sustainable purchasing relationships on the characteristics of the procurement context, namely the presence of well‐established sustainability certification schemes, perceived by purchaser's situation with availability of sustainability certified supply and purchaser's interpretation of the state of power dependence in relationships with suppliers. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis

The COVID-19 pandemic, which started at Wuhan, has shut down world economies, prompting governments to impose drastic lockdown measures of the economy and the society. As these measures are exhausted, non-COVID-19 related issues such as those associated with the mental and physical well-being of people under lockdowns became an emerging concern. As these issues are evident, not to mention the economic downturn, governments are currently looking at designing lockdown relaxation efforts by simultaneously considering both public health and economic restart. Without documented experiences to rely on, governments are resorting to trial-and-error approach in creating a lockdown exit strategy while preventing succeeding waves of cases that may overwhelm healthcare facilities. Thus, this work pioneers the use of the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy (IF) sets along with the domain of public health and the emerging COVID-19 pandemic. The DEMATEL handles the intertwined causal relationships among guideline protocols for the relaxation strategy. The intuitionistic fuzzy set theory addresses the vagueness and uncertainty of human judgments in the context of the DEMATEL. A case study of the Philippine government response for the lockdown exit is presented to evaluate the applicability of the proposed method. Findings reveal that compliance of minimum public health standards, limited movement of persons, suspension of physical classes, the prohibition of mass gatherings, non-operation of category IV industries, and non-operation of hotels or similar establishments are the most crucial protocols for such strategy. These findings offer practical insights for the government to allocate resources and impose measures to ensure their implementation, as well as for developing mitigation efforts to cushion their socio-economic impacts. Policy insights and avenues for future works are also discussed.     

Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey-decision-making trial and evaluation laboratory-based approach

With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long-term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision-making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision-makers. Further, a grey-based decision-making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.     

Outsourcing logistics operations in circular economy towards to sustainable development goals

One of novel manners to achieve sustainable development is concentrating on circular economy in order to manage greenhouse gas emissions, energy consumption, and waste. It also helps to protect the environment and optimize usage of input resources. The main element of circular economy is closed-loop supply chain which covers both forward and reverse products flows. This study aims to outsource logistics operations in a closed-loop supply chain. An innovative analytical multi-step fuzzy decision-making method is proposed to rank sustainable third-party logistics service providers (3PLSPs). Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) is first used to evaluate the relationships among the main criteria. Then, fuzzy analytic network process (ANP) is applied to weight the determined set of criteria. In order to develop the hybrid fuzzy DEMATEL-ANP method and to simplify the computation, the expert judgment method is used between the two techniques as a middle step to reduce the number of criteria. As many of the criteria overlap with each other on content and context, expert opinions are used to shortlist and rank the criteria. Finally, the 3PLSPs are ranked through the fuzzy complex proportional assessment (COPRAS) method. To validate the practicability and applicability of the improved decision-making model, a household appliance case study is applied with data obtained from industry experts. In this case, five service providers are considered and ranked, while the first one gets the best score. A sensitivity analysis is performed by altering the criteria weights to validate the proposed approach, data, and the obtained results. In terms business and the environment, this study provides success critical criteria for decision-making problems in circular economy for addressing sustainable development.     

A combined approach using AHP and DEMATEL for evaluating success factors in implementation of green supply chain management in Indian manufacturing industries

The present work aims to evaluate the success factors (SFs) associated with the implementation of green supply chain management (GSCM) from the Indian manufacturing industry perspective. Initially, 24 SFs relevant to GSCM adoption and implementation were identified from the literature and inputs received from relevant experts. Subsequently, a structural model was proposed by means of combining the Analytical Hierarchy Process (AHP) and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach to evaluate these SFs at the tactical, operational and strategic levels in GSCM adoption. The AHP method helps in determining the relative importance/priorities of the SFs to GSCM adoption. In addition, the DEMATEL method captures the interactive relationships among the SFs, and analyses them on the basis of causal effect mapping. The model proposed can help industrial managers/practitioners to formulate short-term as well as long-term flexible decision strategies in efficiently managing a green supply chain.     

A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms

With the discovery of the COVID-19 vaccine, what has always been worrying the decision-makers is related to the distribution management, the vaccination centers' location, and the inventory control of all types of vaccines. As the COVID-19 vaccine is highly demanded, planning for its fair distribution is a must. University is one of the most densely populated areas in a city, so it is critical to vaccinate university students so that the spread of this virus is curbed. As a result, in the present study, a new stochastic multi-objective, multi-period, and multi-commodity simulation-optimization model has been developed for the COVID-19 vaccine's production, distribution, location, allocation, and inventory control decisions. In this study, the proposed supply chain network includes four echelons of manufacturers, hospitals, vaccination centers, and volunteer vaccine students. Vaccine manufacturers send the vaccines to the vaccination centers and hospitals after production. The students with a history of special diseases such as heart disease, corticosteroids, blood clots, etc. are vaccinated in hospitals because of accessing more medical care, and the rest of the students are vaccinated in the vaccination centers. Then, a system dynamic structure of the prevalence of COVID -19 in universities is developed and the vaccine demand is estimated using simulation, in which the demand enters the mathematical model as a given stochastic parameter. Thus, the model pursues some goals, namely, to minimize supply chain costs, maximize student desirability for vaccination, and maximize justice in vaccine distribution. To solve the proposed model, Variable Neighborhood Search (VNS) and Whale Optimization Algorithm (WOA) algorithms are used. In terms of novelties, the most important novelties in the simulation model are considering the virtual education and exerted quarantine effect on estimating the number of the vaccines. In terms of the mathematical model, one of the remarkable contributions is paying attention to social distancing while receiving the injection and the possibility of the injection during working and non-working hours, and regarding the novelties in the solution methodology, a new heuristic method based on a meta-heuristic algorithm called Modified WOA with VNS (MVWOA) is developed. In terms of the performance metrics and the CPU time, the MOWOA is discovered with a superior performance than other given algorithms. Moreover, regarding the data, a case study related to the COVID-19 pandemic period in Tehran/Iran is provided to validate the proposed algorithm. The outcomes indicate that with the demand increase, the costs increase sharply while the vaccination desirability for students decreases with a slight slope.     

Sustainable HRM strategies and employment relationships as drivers of the triple bottom line

This paper aims to develop a conceptual framework capable of analysing the contributions made by strategic human resources management (SHRM) to firm sustainability and competitiveness. Specifically, we identify different sustainable corporate strategies and the way in which they are supported by coherent sustainable HRM strategies. We propose different sustainable employment relationships considering two dimensions: inducements offered by an organisation and expected employee behaviours in order to comply with sustainable HRM strategies. All the above also necessitates a system of HRM practices (content of the employment relationship) that should be well defined and oriented towards sustainability. Accordingly, we suggest associations of specific systems of HRM practices, depending on the type of employment relationship and sustainable HRM strategy, in order to promote the expected ‘Triple Bottom Line’, and which also improve firm competitiveness.     

Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment

Entities in public sector supply chains (SCs) often operate independently despite having interdependent objectives. Such a fragmented operational design poses several problems magnified by the presence of necessary public health measures fueled by COVID-19. This work contributes to the domain literature by introducing an overarching framework for synthesizing strategies in public sector SCs. The underlying component is the translation of information from the upstream to the downstream entities of the SCs, which is carried out by a Kano-enhanced quality function deployment. The proposed framework introduces intuitionistic fuzzy (IF) decision maps with the aid of the full consistency method to incorporate inherent interrelationships among strategies in the translation agenda. Under an IF environment that better captures judgment uncertainties, an actual case study of a multi-level public sector SC motivated by a government-funded project under the COVID-19 pandemic is demonstrated in this work. Findings of the case suggest that the government prioritizes meeting all project objectives. This requirement is reflected in the downstream SC. The project planning entity focuses on creating an overarching plan of operations, material request entity on complying with government procurement protocols, and maintaining public health and safety in operations for the procurement entity. Results show the effective synthesis of strategies across the SC, ensuring SC integration and collaboration. The case study demonstrates that maintaining public health and safety is a significant component of post-COVID-19 public sector SCs. Several practical insights on the synthesis of public sector SC strategies are also provided in this work.     

THE DECOUPLING OF EMERGING ECONOMIES: THEORETICAL AND EMPIRICAL PUZZLE

With the growing importance of the emerging economies (EEs) in the international scene, a lively debate has begun on whether the national economic cycles are converging or the cycles of EEs and advanced economies (AEs) are becoming disconnected, the so-called ‘hypothesis of decoupling of EEs from the AEs’. Given the important practical implications that decoupling could have, for example, on the definition of national and international economic policies and on business strategies aimed at investment diversification and risk management, the question kindles not only the interest of academics but also policymakers and practitioners are very interested in the issue. The decoupling question has been long debated in different circles and from different points of view. This survey aims to retrace the steps of this debate and to provide some suggestions for future empirical researches.     

Improving resilience of the healthcare supply chain in a pandemic: Evidence from Europe during the COVID-19 crisis

The severe scarcity of critical medical supplies caused by the COVID-19 pandemic led to considerable procurement challenges in the healthcare supply chain (HCSC). As ensuring the availability of such supplies during disruptions is critical, the debate on how to increase supply chain resilience in healthcare has gained new momentum. We present empirical evidence from a multi-tier case study spanning nine European medical supplies manufacturers and hospital groups. Based on the resource dependence theory, we investigated procurement-related strategies to improve medical supplies availability. We conducted semi-structured interviews with 39 procurement and supply chain management experts and derived seven propositions on buffering and bridging approaches for managing evolving resource dependencies and thereby strengthening supply chain resilience in a pandemic. Overall, we confirm the resource dependence theory's applicability for explaining companies' mitigation measures in a pandemic disruption. We find that bridging measures within the healthcare supply base, such as offering procurement support for suppliers or leveraging long-term buyer-supplier relationships, are more effective for securing medical supplies than buffering measures. Complementing bridging with buffering, such as extended upstream procurement or resource sharing among hospitals, can lead to superior risk mitigation as capacities of the present supplier base may not suffice. Furthermore, we extend the resource dependence theory by showing that the severity of disruptions caused by a pandemic triggers new forms of buffering external to the HCSC. Both traditional and new buffering measures establish novel flows of medical supplies in the HCSC that can enable higher supply security in a pandemic.     

Improving the green public procurement performance of Chinese local governments: From the perspective of officials’ knowledge

Green public procurement (GPP) is one of the crucial environmental policy tools for sustainability. Although GPP has been implemented in many developing countries, its performance is in urgent need of improvement. This study focuses on the perspective of procurement officials’ knowledge and develops a new conceptual model with direct and moderating effects to explore factors that may affect Chinese procurement officials’ GPP performance. Using data collected from 139 Chinese local government officials and employing hierarchical regression analysis, this study finds that procurement officials’ awareness of GPP implementation policies exerts a positive, direct impact on their GPP performance. Procurement officials’ receiving GPP training and working in local governments included in a mature China national sustainable community (CNSC) program can positively moderate the relationships between their awareness of GPP implementation policies and GPP performance. However, awareness of GPP-related regulations does not have the same effect. Meanwhile, even the mature CNSC program cannot exert a positive, direct impact on GPP performance. This study deepens the research on influence factors of GPP performance, the policy implications can be useful for policymakers in China and other developing countries.     

Micro- and small-sized enterprises’ willingness to borrow via internet financial services during coronavirus disease 2019

This paper explores the relationships among micro- and small-sized enterprises’ (MSEs) willingness to borrow from internet financial services (IFS) and the related impacts of coronavirus disease 2019 (COVID-19) and then analyses the mediating effects of their beliefs on the advantages and disadvantages of IFS. We further analyse the differences produced by the moderator effects of MSEs’ enterprise variables (sector, operating years, entrepreneur's education, profit margin, and employee number) on the above relationships. We collected 632 valid reports by developing an online questionnaire in China and employing judgement sampling of MSEs with fewer than 50 employees and annual operating income less than RMB 5 million. Then, we analysed the findings with partial least squares structural equation modelling. The results show that COVID-19 significantly impacted most Chinese MSEs and that most Chinese MSEs tend to borrow via IFS, but the amount and period of MSEs’ willingness to borrow should not be affected by the impacts of COVID-19 on MSEs. Rather, the explanation concerns the greater unfamiliarity or uncertainty concerning IFSs relative to traditional financial instruments. Moreover, MSEs' understanding of IFS's advantages and disadvantages has significant adverse mediating effects on the relationship between MSEs' willingness to borrow via IFS and the impacts of COVID-19. Furthermore, the enterprise variables of MSEs, namely, their industry type, entrepreneur’s education, number of employees, profit margin, and operating years, have significant moderating effects on these relationships. The results have implications for the government’s comprehensive supervision system for IFS risks, IFS firms’ enterprise performance, risk survey, and information disclosure systems, and the development of customer-specific and easy-to-use marketing strategies for IFS firms.

     

An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability

With the expansion of urbanization caused by the growth of population and industrial activities, the urban/city and suburban areas are facing a variety of environmental threats. Although more research and urban policy has advocated and practiced the development of green infrastructure (GI) to support urban sustainable environment, the evaluation framework for the development of GI for promoting environmental sustainability is still insufficient. Moreover, the Analytic Hierarchy Process (AHP) commonly applied in published literature, makes an unrealistic assumption of independent relationships among dimensions/criteria in decision making for satisfying the real-world problem. Therefore, the purpose of this study is to construct the evaluation framework, including four dimensions and related ten criteria, using a new hybrid-modified multiple attribute decision-making (MADM) model for developing and improving the GI for promoting environmental sustainability. This MADM model is combined with three different methodologies of MADM, including the Decision-Making Trial and Evaluation Laboratory (DEMATEL) for constructing the influential network relation map (INRM) to explore the complex influential inter-relationships and DEMATEL based on Analytic Network Process (DANP) for determining the influential weights with the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for evaluating and presenting improvement strategies for six different GIs. The empirical study indicates that DEMATEL and DANP Results suggest that decision-makers should pay more attention to the improvement of Design (D₄) and Materials (D₂) in terms of dimensions when utilizing the GI to promote environmental sustainability. Because these dimensions are enhanced, Species (D₁) and Energy (D₃) will be improved in synchronization. From the perspective of criteria, five are key core criteria and need to be focused on first: increasing the green coverage rate (B₉), utilizing sustainable materials (B₄), using ecological engineering (B₈), shaping species biodiversity (B₁), and reducing energy consumption (B₅). Modified VIKOR reveals that “grass swales” are a comparatively better choice among six GIs for promoting environmental sustainability toward achieving the aspiration level. Therefore, this MADM model is beneficial to provide a more convincing assessment framework and improvement strategies for the development of GI for promoting environmental sustainability. As a result, these modified MADM models can be shown more conveniently and reasonably than traditional methods such as traditional AHP or ANP method.     

An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation

The high contagion rates of COVID-19 and the limited amounts of vaccines forced public health authorities to develop vaccinations strategies for minimizing mortality, avoiding the collapse of health care infrastructure, and reducing their negative impacts to societies and economies. We propose a Multi Criteria Group Decision Making for prioritizing a set of COVID-19 vaccination alternatives, under a picture fuzzy environment, where the weights for Decisions Experts (DE) and criteria are unknown. A panel of six DEs assess six criteria for prioritizing four groups for vaccination. The weights for DE and criteria are handled in the form of fuzzy sets. Three types of weights are calculated: subjective, objective, and mixture weights.According to our results, three out of the six criteria hold 60% of the strategic importance: 1) allocation and distribution, 2) COVID-19 strains and 3) capabilities and infrastructures. However, persons with comorbidities became the group with the highest priority, followed by essential workers, women, and adults older than 40 years. Governments, decision makers, and policy makers can find rigorous scientific evidence for articulating effective vaccinations campaigns from this work, and contribute to minimize undesired outputs, such as high mortality rates or collapse of hospitals.     

‘‘Peace’’ perceptions of Special Education Students in North Cyprus: a metaphorical approach

Recently, the peace education as a field has received world-wide attention from scholars, educators and policymakers. In Europe, awareness-raising activities supported by individuals and organizations has paid off and led to successful implementation of peace curriculum into education. Considerable amount of studies reveals that the peace education activities in schools contributed to the realisation of the importance of peaceful and sustainable future. However, peace education is a long neglected subject among the scholars in North Cyprus. Unfortunately, there is no single study focussing on peace education and its necessity in North Cyprus. In this regard, the aim of this study is to investigate how Special Education Students in North Cyprus perceive the concept of ‘‘peace’’. Also, the possible ways of implementing ‘peace education’ into curriculum are scrutinized. In order to fulfil the research aim, qualitative data collected from 158 Special Education teacher candidates. The findings reveal that majority of the participants believes that ‘peace education’ should be taught in schools. At this point, collected data also indicate that governmental initiatives need to be taken in order to raise awareness among students and teachers about ‘peace education’.

     

Developing an emission risk control model in coal-fired power plants for investigating CO2 reduction strategies for sustainable business development

The climatic risk consists of financial and environmental risks, predominantly evolutes from carbon dioxide emissions from coal-fired power plants. We develop a climatic risk control model to investigate the coexistence of renewable energy and the post-combustion carbon capture technology as CO₂ reduction strategies. Additionally, our proposed framework explicitly considers the acceptance of such strategies based on a balance of electricity supply according to demand. This paper adopts an additive fuzzy mixed-integer optimization approach to model uncertain parameters and determines the optimal solution focusing on business and the environment. Furthermore, we investigate the feasibility of such emission control strategies with scenario analysis that help to execute the country's emission reduction policies. The usefulness of our methodology is demonstrated using data from the coal-based power sector in the Eastern part of India. Overall, with the proposed model, we can achieve 30% reduction in emission release, which provides strategies to the decision-maker for investment towards sustainable development.     

Connecting business with the agricultural landscape: business strategies for sustainable rural development

Agribusiness enterprises link rural landscapes to global and regional markets. The nature of these business–landscape relationships is vital to the sustainability transition. Decisions by farmers and agriculture policymakers aggregate to changes in the ecology of landscapes, but the influence of food supply system businesses on rural landscape sustainability also requires scrutiny. This article uses four international cases to present a conceptual framework for investigating how different business strategies can support agricultural landscape sustainability. Insights from North America, New Zealand, The Netherlands, and Denmark inform the framework dimensions of horizontal/territorial and vertical/systemic business–landscape relationships. Three types of business model that promote rural sustainability are highlighted: provenance, cogovernance, and placemaking. These models engage strategies such as environmental management systems, certification, ecosystem and landscape services, and spatial planning. Research directions that will improve understanding about how business can engage with rural stakeholders for more sustainable rural landscapes are identified, including the need for cross disciplinary perspectives incorporating social, ecological, and business knowledge.     

A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach

Coronavirus disease (COVID-19) was recognized in December 2019 and spread very severely throughout the world. In 2022 May, the total death numbers reached 6.28 million people worldwide. During the pandemic, some alternative vaccines were discovered in the middle of 2020. Today, many countries are struggling to supply vaccines and vaccinate their citizens. Besides the difficulties of vaccine supply, mass vaccination is a challenging but mandatory task for the countries. Within this context, determining the mass vaccination site is very important for recovering, thus a five-step approach is generated in this paper to solve this real-life problem. Firstly the mass vaccination site selection criteria are determined, and secondly, the spatial data are collected and mapped by using Geographical Information System (GIS) software. Then, the entropy weighting method (EWM) is used for determining the relative importance levels of criteria and fourthly, the multiple attribute utility theory (MAUT) approach is used for ranking the potential mass vaccination sites. Lastly, ranked alternative sites are analyzed using network analyst tool of GIS in terms of covered population. A case study is conducted in Gaziantep city which is the ninth most population and having above-average COVID-19 patients in Turkey. As a result, the fourth alternative (around the Şehitkamil Monument) is chosen as the best mass vaccination site for the city. It is believed that the outcomes of the paper could be used by city planners and decision-makers.     

Contesting Sustainability: ‘SMART Growth’ and the Redevelopment of Austin's Eastside

The compatibility between an agenda for sustainable urban development and the neoliberal economic restructuring of urban space has been observed within cities in developed countries across the globe. From providing economic support to local ‘green’ industries to creating bike lanes, municipalities develop sustainability strategies that are designed to boost their competitive advantage. Moreover, municipalities are responding to demands from popular social movements and national governments that seek to reconfigure societal relationships with the natural environment in cities. Cities are increasingly understood not as part of the ecological crisis but as part of the solution, or as places where alternative patterns of sustainable consumption and new socially and ecologically responsible industries can be developed. Over the last decade in Austin, environmental sustainability has become an uncontested paradigm that has progressively shaped the city's urban space and policy. Two competing conceptualizations of the environment, so‐called ‘environmental’ and ‘just’ sustainability groups, are explored in this article. I demonstrate how the notion of environmental sustainability has been selectively incorporated into the hegemonic vision of Austin's strategic growth plan. I argue that the dominance of this conceptualization is best understood by asking what counts as the ‘environment’ for environmentalists, and understanding the unstated assumptions about the environment shared by the business community and environmentalists.