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Description
I compare the effect of anonymous social network ratings (Yelp.com) and peer group recommendations on restaurant demand. I conduct a two-stage choice experiment in which restaurant visits in the first stage are informed by online social network reviews from Yelp.com, and visits in the second stage by peer network reviews. I find that anonymous reviewers have a stronger effect on restaurant preference than peers. I also compare the power of negative reviews with that of positive reviews. I found that negative reviews are more powerful compared to the positive reviews on restaurant preference. More generally, I find that in an environment of high attribute uncertainty, information gained from anonymous experts through social media is likely to be more influential than information obtained from peers.
ContributorsTiwari, Ashutosh (Author) / Richards, Timothy J. (Thesis advisor) / Qiu, Yueming (Committee member) / Grebitus, Carola (Committee member) / Arizona State University (Publisher)
Created2013
Descriptionyour words
ContributorsWang, Dan, M.S (Author) / Grebitus, Carola (Thesis advisor) / Schroeter, Christiane (Committee member) / Manfredo, Mark (Committee member) / Hughner, Renee (Committee member) / Arizona State University (Publisher)
Created2014
Description
This thesis proposed a novel approach to establish the trust model in a social network scenario based on users' emails. Email is one of the most important social connections nowadays. By analyzing email exchange activities among users, a social network trust model can be established to judge the trust rate between each two users. The whole trust checking process is divided into two steps: local checking and remote checking. Local checking directly contacts the email server to calculate the trust rate based on user's own email communication history. Remote checking is a distributed computing process to get help from user's social network friends and built the trust rate together. The email-based trust model is built upon a cloud computing framework called MobiCloud. Inside MobiCloud, each user occupies a virtual machine which can directly communicate with others. Based on this feature, the distributed trust model is implemented as a combination of local analysis and remote analysis in the cloud. Experiment results show that the trust evaluation model can give accurate trust rate even in a small scale social network which does not have lots of social connections. With this trust model, the security in both social network services and email communication could be improved.
ContributorsZhong, Yunji (Author) / Huang, Dijiang (Thesis advisor) / Dasgupta, Partha (Committee member) / Syrotiuk, Violet (Committee member) / Arizona State University (Publisher)
Created2011
Description
Consumers can purchase local food through intermediated marketing channels, such as grocery stores, or through direct-to-consumer marketing channels, for instance, farmers markets. While the number of farms that utilize direct-to-consumer outlets keeps increasing, the direct-to-consumer sales remain lower than intermediated sales. If consumers prefer to purchase local food through intermediated channels, then policies designed to support direct channels may be misguided. Using a variety of experiments, this dissertation investigates consumer preferences for local food and their demand differentiated by marketing channel. In the first essay, I examine the existing literature on consumer preferences for local food by applying meta-regression analysis to a set of eligible research papers. My analysis provides evidence of statistically significant willingness to pay for local food products. Moreover, I find that a methodological approach and study-specific characteristics have a significant influence on the reported estimates for local attribute. By separating the demand for local from the demand for a particular channel, the second essay attempts to disentangle consumers’ preferences for marketing channels and the local-attribute in their food purchases. Using an online choice experiment, I find that consumers are willing to pay a premium for local food. However, they are not willing to pay premiums for local food that is sold at farmers markets relative to supermarkets. Therefore, in the third essay I seek to explain the rise in intermediated local by investigating local food shopping behavior. I develop a model of channel-selection in a nested context and apply it to the primary data gathered through an online food diary. I find that, while some consumers enjoy shopping at farmers markets to meet their objectives, such as socialization with farmers, the majority of consumers buy local food from supermarkets because they offer convenient settings where a variety of products can be bought as one basket. My overall results suggest that, if the goal is to increase the sales of local food, regardless of the channel, then existing supply-chain relationships in the local food channel appear to be performing well.
ContributorsPrintezis, Iryna (Author) / Richards, Timothy J. (Thesis advisor) / Grebitus, Carola (Committee member) / Schmitz, Troy (Committee member) / Arizona State University (Publisher)
Created2018
Description
It is well understood that innovation drives productivity growth in agriculture. Innovation, however, is a process that involves activities distributed throughout the supply chain. In this dissertation I investigate three topics that are at the core of the distribution and diffusion of innovation: optimal licensing of university-based inventions, new variety adoption among farmers, and consumers’ choice of new products within a social network environment.
University researchers assume an important role in innovation, particularly as a result of the Bayh-Dole Act, which allowed universities to license inventions funded by federal research dollars, to private industry. Aligning the incentives to innovate at the university level with the incentives to adopt downstream, I show that non-exclusive licensing is preferred under both fixed fee and royalty licensing. Finding support for non-exclusive licensing is important as it provides evidence that the concept underlying the Bayh-Dole Act has economic merit, namely that the goals of university-based researchers are consistent with those of society, and taxpayers, in general.
After licensing, new products enter the diffusion process. Using a case study of small holders in Mozambique, I observe substantial geographic clustering of new-variety adoption decisions. Controlling for the other potential factors, I find that information diffusion through space is largely responsible for variation in adoption. As predicted by a social learning model, spatial effects are not based on geographic distance, but rather on neighbor-relationships that follow from information exchange. My findings are consistent with others who find information to be the primary barrier to adoption, and means that adoption can be accelerated by improving information exchange among farmers.
Ultimately, innovation is only useful when adopted by end consumers. Consumers’ choices of new products are determined by many factors such as personal preferences, the attributes of the products, and more importantly, peer recommendations. My experimental data shows that peers are indeed important, but “weak ties” or information from friends-of-friends is more important than close friends. Further, others regarded as experts in the subject matter exert the strongest influence on peer choices.
University researchers assume an important role in innovation, particularly as a result of the Bayh-Dole Act, which allowed universities to license inventions funded by federal research dollars, to private industry. Aligning the incentives to innovate at the university level with the incentives to adopt downstream, I show that non-exclusive licensing is preferred under both fixed fee and royalty licensing. Finding support for non-exclusive licensing is important as it provides evidence that the concept underlying the Bayh-Dole Act has economic merit, namely that the goals of university-based researchers are consistent with those of society, and taxpayers, in general.
After licensing, new products enter the diffusion process. Using a case study of small holders in Mozambique, I observe substantial geographic clustering of new-variety adoption decisions. Controlling for the other potential factors, I find that information diffusion through space is largely responsible for variation in adoption. As predicted by a social learning model, spatial effects are not based on geographic distance, but rather on neighbor-relationships that follow from information exchange. My findings are consistent with others who find information to be the primary barrier to adoption, and means that adoption can be accelerated by improving information exchange among farmers.
Ultimately, innovation is only useful when adopted by end consumers. Consumers’ choices of new products are determined by many factors such as personal preferences, the attributes of the products, and more importantly, peer recommendations. My experimental data shows that peers are indeed important, but “weak ties” or information from friends-of-friends is more important than close friends. Further, others regarded as experts in the subject matter exert the strongest influence on peer choices.
ContributorsFang, Di (Author) / Richards, Timothy J. (Thesis advisor) / Bolton, Ruth N (Committee member) / Grebitus, Carola (Committee member) / Manfredo, Mark (Committee member) / Arizona State University (Publisher)
Created2015
Description
This study explored the consumer response and behavioral patterns in relation to sustainability marketing on food packaging. Following a global trend towards sustainability, there has been a recent explosion in the amount of sustainability labels consumers can find on product packaging, though it is not necessarily an indicator of growth of sustainable products in terms of market share. Many marketing factors, such as, price or quality, can influence dietary decisions individuals are making for their households. In the same way, labels that advertise qualities, including ethical production or minimal environmental impact may persuade consumers to buy a product, regardless of whether or not certifications are accurate. The question arises whether individuals are more likely to buy a product that has a sustainability label. More specifically, does this still hold, even if they do not know what that label actually represents? During this study, a variety of household shoppers were surveyed to gather data on consumer awareness, intentions, and overall attitudes towards the credibility and importance of these labels.
ContributorsRichardson, Rylee (Author) / Grebitus, Carola (Thesis director) / Villacis Aviega, Alexis (Committee member) / Hughner, Renee (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor)
Created2023-05
Description
Food safety incidents have constantly hit society and threatened human health. Hundreds of millions of people become sick after eating contaminated food every year. As the problem continues to emerge, consumers must take action to avoid purchasing risky food products. As one of the solutions, food traceability systems have been developed rapidly in many countries in recent years. More food products can now be provided with traceability information to assist consumers in making purchase decisions. To design services for grocery shoppers to access food information from food traceability systems possibly through modern technologies, this transdisciplinary user research study investigated shopper insights into food traceability information on produce provided at grocery stores, with a fusion of ideas from the disciplines of design and consumer behaviors. Through literature reviews, an online survey study, and an online interview study, this research revealed a series of shopper insights concerning (1) shoppers’ knowledge about food traceability information, (2) shoppers’ behaviors and motivations for using traceability information on produce, (3) shoppers’ perceptions towards providing traceability information on produce to them at grocery stores, (4) shoppers’ perceived important traceability information on produce, (5) shoppers’ behavior intentions of using specific ways to access traceability information on produce, and (6) shoppers’ thresholds to pay for traceability information on produce. Based on the results, this study identified design opportunities for the features, components, and mediums of the service design of future food traceability systems.
ContributorsWang, Anne (Author) / Takamura, John (Thesis advisor) / Fehler, Michelle (Committee member) / Grebitus, Carola (Committee member) / Arizona State University (Publisher)
Created2022
Description
Urban community gardens hold the potential to serve as a form of multifunctional green infrastructure to advance urban sustainability goals through the array of ecosystem services they afford. While a substantial body of literature has been produced that is dedicated to the study of these services (e.g., providing fresh produce, promoting socialization, and enhancing urban biodiversity), less attention has been paid to the strategic planning of urban community gardens, particularly in an expansive urban setting, and in the context of the co-benefit of mitigating extreme heat. The research presented in this dissertation explores the potential of community gardens as a form of multifunctional green infrastructure and how these spaces can be planned in a manner that strives to be both systematic and transparent. It focuses on methods that can (1) be employed to identify vacant or open land plots for large metropolitan areas and (2) explores multicriteria decision analysis and (3) optimization approaches that assist in the selection of “green” spaces that serve as both provisioning (a source of fresh fruits and vegetables) and regulating (heat mitigation) services, among others. This exploration involves three individual studies on each of these themes, using the Phoenix metropolitan area as its analytical backdrop. The major lessons from this piece are: (1) remotely sensed data can be effectively paired with cadastral data to identify thousands of vacant parcels for potential greening at a metropolitan scale; (2) a stakeholder-weighted multicriteria decision analysis for community garden planning can serve as an effective decision support tool, but participants' conceptualization of garden spaces resulted in social criteria being prioritized over physical-environmental factors, potentially influencing the provisioning of co-benefits; and (3) optimized urban community garden networks hold the potential to synergistically distribute co-benefits across a large metropolitan area in a manner that systematically prioritizes high-need neighborhoods. The methods examined are useful for all metropolises with a preponderance of open or vacant land seeking to advance urban sustainability goals through green infrastructure.
ContributorsSmith, Jordan Paul (Author) / Turner, Billie L (Thesis advisor) / Meerow, Sara (Committee member) / Tong, Daoqin (Committee member) / Grebitus, Carola (Committee member) / Arizona State University (Publisher)
Created2021
Description
Demand for specialty coffee worldwide is increasing, yet producers primarily located in developing countries struggle to cover their production costs and sustain their livelihood. Coffee producers are globally seeking higher profits by adapting their conventional production practices to be more socially and environmentally responsible. This dissertation aims to analyze the U.S. import demand for coffee and investigate consumer preferences and willingness to pay for coffee labels representing sustainability efforts. Chapter one introduces the coffee industry and the three chapters of this research. In the second chapter, I analyze the influence of consumers' values and the warm glow effect of giving on their willingness to pay for sustainable coffee using a non-hypothetical auction mechanism. I use an information treatment to test the effect of information on consumers' willingness to pay. Providing information increases the premium consumers are willing to pay for sustainable coffee. Regarding values, consumers that like coffee and experience the warm glow of giving are willing to pay a premium for coffee with a sustainability label. Using a hypothetical online choice experiment, in the third chapter, I investigate coffee consumers' preferences and willingness to pay for Fair Trade, Direct Trade, Rainforest Alliance and USDA Organic coffee. I find that consumers value sustainability labels that aim to solve social issues more than those whose primary goal is to solve environmental problems. I find that when two labels are together on a coffee bag, there is no effect on consumers’ utility. However, there is a positive effect on consumers' willingness to pay for coffee labeled simultaneously for Fair Trade and Organic, and simultaneously for Direct Trade and Organic. In the fourth chapter, I estimate coffee price elasticities between major coffee exporters to the U.S. and calculate pass-through import cost using a system-wide differential demand system. I compare imports of arabica and robusta green coffee and estimate the degree to which they complement each other or substitute one another. I find that arabica and robusta from Brazil, Colombia, and Mexico are substitutes but some exceptions show a complementary relationship. The inclusion of the exchange rate into the demand system has a significant effect on U.S. coffee demand. I find an incomplete pass-through cost of the exchange rate to U.S. import prices.
Chapter six concludes by summarizing the results of this dissertation and discussing the future challenges for the coffee industry.
ContributorsFuller, Katherine (Author) / Grebitus, Carola (Thesis advisor) / Schmitz, Troy (Committee member) / Hughner, Renee (Committee member) / Arizona State University (Publisher)
Created2022