Matching Items (6)
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- All Subjects: Environmental Management
- Genre: Academic theses
- Creators: Dooley, Kevin
- Creators: Maroulis, Spiro
- Member of: ASU Electronic Theses and Dissertations
Description
This study investigates how well prominent behavioral theories from social psychology explain green purchasing behavior (GPB). I assess three prominent theories in terms of their suitability for GPB research, their attractiveness to GPB empiricists, and the strength of their empirical evidence when applied to GPB. First, a qualitative assessment of the Theory of Planned Behavior (TPB), Norm Activation Theory (NAT), and Value-Belief-Norm Theory (VBN) is conducted to evaluate a) how well the phenomenon and concepts in each theory match the characteristics of pro-environmental behavior and b) how well the assumptions made in each theory match common assumptions made in purchasing theory. Second, a quantitative assessment of these three theories is conducted in which r2 values and methodological parameters (e.g., sample size) are collected from a sample of 21 empirical studies on GPB to evaluate the accuracy and generalize-ability of empirical evidence. In the qualitative assessment, the results show each theory has its advantages and disadvantages. The results also provide a theoretically-grounded roadmap for modifying each theory to be more suitable for GPB research. In the quantitative assessment, the TPB outperforms the other two theories in every aspect taken into consideration. It proves to 1) create the most accurate models 2) be supported by the most generalize-able empirical evidence and 3) be the most attractive theory to empiricists. Although the TPB establishes itself as the best foundational theory for an empiricist to start from, it's clear that a more comprehensive model is needed to achieve consistent results and improve our understanding of GPB. NAT and the Theory of Interpersonal Behavior (TIB) offer pathways to extend the TPB. The TIB seems particularly apt for this endeavor, while VBN does not appear to have much to offer. Overall, the TPB has already proven to hold a relatively high predictive value. But with the state of ecosystem services continuing to decline on a global scale, it's important for models of GPB to become more accurate and reliable. Better models have the capacity to help marketing professionals, product developers, and policy makers develop strategies for encouraging consumers to buy green products.
ContributorsRedd, Thomas Christopher (Author) / Dooley, Kevin (Thesis advisor) / Basile, George (Committee member) / Darnall, Nicole (Committee member) / Arizona State University (Publisher)
Created2012
Description
An eco-industrial park (EIP) is an industrial ecosystem in which a group of co-located firms are involved in collective resource optimization with each other and with the local community through physical exchanges of energy, water, materials, byproducts and services - referenced in the industrial ecology literature as "industrial symbiosis". EIPs, when compared with standard industrial resource sharing networks, prove to be of greater public advantage as they offer improved environmental and economic benefits, and higher operational efficiencies both upstream and downstream in their supply chain.
Although there have been many attempts to adapt EIP methodology to existing industrial sharing networks, most of them have failed for various factors: geographic restrictions by governmental organizations on use of technology, cost of technology, the inability of industries to effectively communicate their upstream and downstream resource usage, and to diminishing natural resources such as water, land and non-renewable energy (NRE) sources for energy production.
This paper presents a feasibility study conducted to evaluate the comparative environmental, economic, and geographic impacts arising from the use of renewable energy (RE) and NRE to power EIPs. Life Cycle Assessment (LCA) methodology, which is used in a variety of sectors to evaluate the environmental merits and demerits of different kinds of products and processes, was employed for comparison between these two energy production methods based on factors such as greenhouse gas emission, acidification potential, eutrophication potential, human toxicity potential, fresh water usage and land usage. To complement the environmental LCA analysis, levelized cost of electricity was used to evaluate the economic impact. This model was analyzed for two different geographic locations; United States and Europe, for 12 different energy production technologies.
The outcome of this study points out the environmental, economic and geographic superiority of one energy source over the other, including the total carbon dioxide equivalent emissions, which can then be related to the total number of carbon credits that can be earned or used to mitigate the overall carbon emission and move closer towards a net zero carbon footprint goal thus making the EIPs truly sustainable.
Although there have been many attempts to adapt EIP methodology to existing industrial sharing networks, most of them have failed for various factors: geographic restrictions by governmental organizations on use of technology, cost of technology, the inability of industries to effectively communicate their upstream and downstream resource usage, and to diminishing natural resources such as water, land and non-renewable energy (NRE) sources for energy production.
This paper presents a feasibility study conducted to evaluate the comparative environmental, economic, and geographic impacts arising from the use of renewable energy (RE) and NRE to power EIPs. Life Cycle Assessment (LCA) methodology, which is used in a variety of sectors to evaluate the environmental merits and demerits of different kinds of products and processes, was employed for comparison between these two energy production methods based on factors such as greenhouse gas emission, acidification potential, eutrophication potential, human toxicity potential, fresh water usage and land usage. To complement the environmental LCA analysis, levelized cost of electricity was used to evaluate the economic impact. This model was analyzed for two different geographic locations; United States and Europe, for 12 different energy production technologies.
The outcome of this study points out the environmental, economic and geographic superiority of one energy source over the other, including the total carbon dioxide equivalent emissions, which can then be related to the total number of carbon credits that can be earned or used to mitigate the overall carbon emission and move closer towards a net zero carbon footprint goal thus making the EIPs truly sustainable.
ContributorsGupta, Vaibhav (Author) / Calhoun, Ronald J (Thesis advisor) / Dooley, Kevin (Committee member) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2014
Description
Ecolabels are the main driving force of consumer knowledge in the realm of sustainable product purchasing. While ecolabels strive to improve consumer's purchasing decisions, they have overwhelmed the market, leaving consumers confused and distrustful of what each label means. This study attempts to validate and understand environmental concerns commonly found in ecolabel criteria and the implications they have within the life cycle of a product. A life cycle assessment (LCA) case study of cosmetic products is used in comparison with current ecolabel program criteria to assess whether or not ecolabels are effectively driving environmental improvements in high impact areas throughout the life cycle of a product. Focus is placed on determining the general issues addressed by ecolabelling criteria and how these issues relate to hotspots derived through a practiced scientific methodology. Through this analysis, it was determined that a majority the top performing supply chain environmental impacts are covered, in some fashion, within ecolabelling criteria, but some, such as agricultural land occupation, are covered to a lesser extent or not at all. Additional criteria are suggested to fill the gaps found in ecolabelling programs and better address the environmental impacts most pertinent to the supply chain. Ecolabels have also been found to have a broader coverage then what can currently be addressed using LCA. The results of this analysis have led to a set of recommendations for furthering the integration between ecolabels and life cycle tools.
ContributorsBernardo, Melissa (Author) / Dooley, Kevin (Thesis advisor) / Chester, Mikhail (Thesis advisor) / Fox, Peter (Committee member) / Arizona State University (Publisher)
Created2012
Description
A sustainability strategy is a distinctive pattern in an organization’s sustainability programs that are designed to encourage individuals and organizations to behave in more sustainable ways. Local governments worldwide have increasingly pursued sustainability strategies to improve their community health and environment by adopting sustainability programs that span a variety of environmental issues and use a diverse set of policy instruments. Despite increasing prevalence of sustainability efforts at the local level, as yet, there has been little understanding of variation in their sustainability strategies and its relationship with environmental performance outcomes. Prior research has mainly focused on the number of programs that local governments adopt and assumed that local governments with more sustainability programs are more likely to improve the environment than local governments with fewer programs. However, local governments’ sustainability strategies require more nuanced understanding about variations in their sustainability programs, in particular across their program design in that a sustainability strategy relates to both quantity and design aspects of programs.
I address these research gaps in three essays that explore the research question of (1) how design features of sustainability programs vary across US local governments, (2) which factors influence variations in program design, (3) how these factors are related to environmental quality outcomes in communities. By assessing US local governments’ sustainability programs, I found that even for local governments that adopt a same number of sustainability programs, they design their programs differently, especially across the breadth of environmental issues that local governments address in their sustainability programs and the breadth of policy instrument that are used in their programs. Findings suggest that pressures from external stakeholders and variations in local governments’ organizational capacities are related to local governments’ decisions to purse different types of sustainability strategies. Finally, I find that local governments that design their programs more comprehensively are likely to have greater environmental performance outcomes in their community. My dissertation expands existing research in a significant way by focusing on the importance of program design and its link with improved environmental performance, thereby providing important implications for distinguishing among local governments’ sustainability strategies.
I address these research gaps in three essays that explore the research question of (1) how design features of sustainability programs vary across US local governments, (2) which factors influence variations in program design, (3) how these factors are related to environmental quality outcomes in communities. By assessing US local governments’ sustainability programs, I found that even for local governments that adopt a same number of sustainability programs, they design their programs differently, especially across the breadth of environmental issues that local governments address in their sustainability programs and the breadth of policy instrument that are used in their programs. Findings suggest that pressures from external stakeholders and variations in local governments’ organizational capacities are related to local governments’ decisions to purse different types of sustainability strategies. Finally, I find that local governments that design their programs more comprehensively are likely to have greater environmental performance outcomes in their community. My dissertation expands existing research in a significant way by focusing on the importance of program design and its link with improved environmental performance, thereby providing important implications for distinguishing among local governments’ sustainability strategies.
ContributorsJi, Hyunjung (Author) / Darnall, Nicole (Thesis advisor) / Corley, Elizabeth (Committee member) / Feiock, Richard C. (Committee member) / Maroulis, Spiro (Committee member) / Arizona State University (Publisher)
Created2016
Description
Firms have increasingly taken on the commitment to sustainability due to environmental and social concerns. Environmental and social sustainability can create firm value and social welfare through cost reduction and revenue growth. While indicating a desire to do more, firms face challenges while engaging with stakeholders in their supply chains – suppliers and consumers. Suppliers are key partners to achieve cost reduction while customers can be the driver for revenue growth. If firms do not overcome the challenges properly, such a win-win situation of both firms and their supply chain stakeholders may not exist. This dissertation aims to understand and suggest ways to overcome the challenges which firms and their supply chain stakeholders face while collaboratively pursuing sustainability.
In the first essay, I investigate the financial impact of a buyer-initiated supplier-focused sustainability improvement program on suppliers’ profitability. The results indicate that a supplier sustainability program may lead to short-term financial loss but long-term financial gain for suppliers, and this effect is contingent on supplier slack resources. The second essay of this dissertation focuses on the consumers and investigates their reactions to two types of firm environmental sustainability claims – sustainable production versus sustainable consumption. The results indicate that firm sustainable consumption claims increase consumers’ purchase, thus leads to larger firm sales, whereas firm sustainable production claims decrease consumers’ buying intention, then result in smaller firm sales. Therefore, I show that, contrary to extant belief, firm environmental sustainability can decrease consumers’ intention to buy. Finally, a firm may be impacted when some of its upstream or downstream stakeholders, or its own operations, are impacted by a natural disaster, which are becoming more frequent due to climate change. In the third essay I study the joint effect of market attention and donation timing on firm stock returns based on the experiences of firms who donated to the 2017 Hurricane Harvey. I conclude that neither the first donors nor the followers can mitigate the negative stock returns due to disasters. However, firms who match their donation timing with market attention experience less negative stock market returns compared to other counterparts.
In the first essay, I investigate the financial impact of a buyer-initiated supplier-focused sustainability improvement program on suppliers’ profitability. The results indicate that a supplier sustainability program may lead to short-term financial loss but long-term financial gain for suppliers, and this effect is contingent on supplier slack resources. The second essay of this dissertation focuses on the consumers and investigates their reactions to two types of firm environmental sustainability claims – sustainable production versus sustainable consumption. The results indicate that firm sustainable consumption claims increase consumers’ purchase, thus leads to larger firm sales, whereas firm sustainable production claims decrease consumers’ buying intention, then result in smaller firm sales. Therefore, I show that, contrary to extant belief, firm environmental sustainability can decrease consumers’ intention to buy. Finally, a firm may be impacted when some of its upstream or downstream stakeholders, or its own operations, are impacted by a natural disaster, which are becoming more frequent due to climate change. In the third essay I study the joint effect of market attention and donation timing on firm stock returns based on the experiences of firms who donated to the 2017 Hurricane Harvey. I conclude that neither the first donors nor the followers can mitigate the negative stock returns due to disasters. However, firms who match their donation timing with market attention experience less negative stock market returns compared to other counterparts.
ContributorsCheng, Feng (Author) / Dooley, Kevin (Thesis advisor) / Han, Sang-Pil (Committee member) / Polyviou, Mikaella (Committee member) / Arizona State University (Publisher)
Created2020
Description
This dissertation consists of three essays, each examining distinct aspects about public organization adaptation to extreme events using evidence from public transit agencies under the influence of extreme weather in the United States (U.S.). The first essay focuses on predicting organizational adaptive behavior. Building on extant theories on adaptation and organizational learning, it develops a theoretical framework to uncover the pathways through which extreme events impact public organizations and identify the key learning mechanisms involved in adaptation. Using a structural equation model on data from a 2016 national survey, the study highlights the critical role of risk perception to translate signals from the external environment to organizational adaptive behavior.
The second essay expands on the first one to incorporate the organizational environment and model the adaptive system. Combining an agent-based model and qualitative interviews with key decision makers, the study investigates how adaptation occurs over time in multiplex contexts consisting of the natural hazards, organizations, institutions and social networks. The study ends with a series of refined propositions about the mechanisms involved in public organization adaptation. Specifically, the analysis suggests that risk perception needs to be examined relative to risk tolerance to determine organizational motivation to adapt, and underscore the criticality of coupling between the motivation and opportunities to enable adaptation. The results further show that the coupling can be enhanced through lowering organizational risk perception decay or synchronizing opportunities with extreme event occurrences to promote adaptation.
The third essay shifts the gaze from adaptation mechanisms to organizational outcomes. It uses a stochastic frontier analysis to quantify the impacts of extreme events on public organization performance and, importantly, the role of organizational adaptive capacity in moderating the impacts. The findings confirm that extreme events negatively affect organizational performance and that organizations with higher adaptive capacity are more able to mitigate those effects, thereby lending support to research efforts in the first two essays dedicated to identifying preconditions and mechanisms involved in the adaptation process. Taken together, this dissertation comprehensively advances understanding about public organization adaptation to extreme events.
The second essay expands on the first one to incorporate the organizational environment and model the adaptive system. Combining an agent-based model and qualitative interviews with key decision makers, the study investigates how adaptation occurs over time in multiplex contexts consisting of the natural hazards, organizations, institutions and social networks. The study ends with a series of refined propositions about the mechanisms involved in public organization adaptation. Specifically, the analysis suggests that risk perception needs to be examined relative to risk tolerance to determine organizational motivation to adapt, and underscore the criticality of coupling between the motivation and opportunities to enable adaptation. The results further show that the coupling can be enhanced through lowering organizational risk perception decay or synchronizing opportunities with extreme event occurrences to promote adaptation.
The third essay shifts the gaze from adaptation mechanisms to organizational outcomes. It uses a stochastic frontier analysis to quantify the impacts of extreme events on public organization performance and, importantly, the role of organizational adaptive capacity in moderating the impacts. The findings confirm that extreme events negatively affect organizational performance and that organizations with higher adaptive capacity are more able to mitigate those effects, thereby lending support to research efforts in the first two essays dedicated to identifying preconditions and mechanisms involved in the adaptation process. Taken together, this dissertation comprehensively advances understanding about public organization adaptation to extreme events.
ContributorsZhang, Fengxiu (Author) / Welch, Eric (Thesis advisor) / Barton, Michael (Committee member) / Bretschneider, Stuart (Committee member) / Feeney, Mary K. (Committee member) / Maroulis, Spiro (Committee member) / Arizona State University (Publisher)
Created2020