One of the newest technologies available for agricultural use is the sequencing of the bovine genome and the identification of specific genes that would ensure favorable physical traits in the herd. An easy way for this technology to be utilized is in the milking herds of dairies, the herd has already been bred for specific traits and any change due to a genomic influence would be easily seen. Dairy cattle are commonly bred through artificial insemination, and this would be a perfect place for the genomic programs to prove themselves. In order to determine the attitudes of local dairymen toward genomics, I designed and administered a survey to gauge their opinions. The survey was given to a meeting of the United Dairymen of Arizona at their Tempe offices. The survey covered the current breeding methods used by the dairies, the desired attributes in a milking herd and a breeding program, and a place for the dairymen to give their own opinions on genomics. The results indicated that the dairymen are interested of using genomics, but they are unsure of the cost. Dairymen are often looking for new methods to increase their milk production and herd value, but are reluctant to pay a high amount. One recommendation is for these dairymen to utilize bulls that have had their genome analyzed when they are breeding their cows. This would allow the dairymen to see the effects and benefits of genomics on their herd without the dairymen having to front the large start up cost for their own genomic program.

Private label growth in emerging markets has not kept pace with the growth in private labels elsewhere. For instance, in Europe and North America, private labels now constitute an average of 35% of total retail market share, compared to emerging markets, where market shares vary between 1% and 8 %. This dissertation examines the possibility that differences in private-label performance between developed and emerging economies is not driven by one mechanism, but arises from a variety of sources, both structural, and behavioral. Specifically, I focus on manufacturers’ market power, retailers’ private label portfolio strategies, and consumers’ perceptions of private labels. In most emerging economies, national brand manufacturers tend to be the sole producers of private labels. As a result, manufacturers have inherent market power and can deter retailers from pursuing aggressive private label strategies, which results in low private label market shares. Moreover, some retailers in emerging economies now carry their private labels as part of a multi-tiered portfolio. However, a small price-gap between the quality tiers results in high intraportfolio competition leading to cannibalization and lower private label market shares. Last, private label market shares in emerging economies may be smaller than in developed economies because low-income households prefer higher priced national brands. This counterintuitive phenomenon is driven by two interrelated factors. First, social influence implies that low-income households are upward-comparing, they contrast themselves with high-income households whom they believe are better-off. Because higher-income households purchase national brands, upward-comparisons lead to a preference for national brands. Second, low income households are unknowledgeable about private label advancements hence they prefer national brands.

While scan-based trading (SBT) is a growing trend in the retail industry, evidence suggests that many SBT initiatives have contributed only to the retailers’ bottom line at the suppliers’ expense. This research attempts to disclose some of the causes of SBT failure as a collaborative inventory management initiative and identify SBT’s integrative potential using both positivistic and normative research methodologies.

In the first chapter, SBT contracts are analyzed through the lens of Agency Theory. By focusing on unique inventory ownership and risks considerations resulting from retailers managing supplier-owned inventory without bearing the cost of inventory shrinkage, the effect of SBT on inventory shrinkage is examined empirically using a data set from a packaged bakery manufacturer. The results show that inventory shrinkage tends to be higher under SBT contracts compared to traditional vendor-managed inventory (VMI) contracts. The study highlights a potential loss in efficiency in food supply chains reflected in higher shrinkage under SBT contracts.

The second chapter aims to identify conditions under which SBT contracts could be mutually beneficial for retailers and suppliers. Using stylized game theoretic models involving a retailer and a supplier of a product with limited shelf life, the study finds that, while inventory shrinkage may be amplified under SBT contracts compared to VMI contracts due to the decreased retailer’s incentive to manage inventory at the store, SBT could help suppliers minimize inventory overage and underage under high demand uncertainty. The integrative potential for SBT contracts, thus, lies in the trade-off between inventory shrinkage and forecasting accuracy.

In the third paper, the role of bargaining power on the performance of SBT contracts is examined. Based on the bargaining literature, it is hypothesized that perceptions of bargaining power can be reshaped in the bargaining process through concession tactics. The results of a negotiation experiment show that, while powerful retailers do tend to have the upper hand in negotiating SBT contracts, weak suppliers could ameliorate or even overcome retailer power by offering services as a concession in a way that the product-service bundle improves the value of their offerings in the eyes of the retailers.

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.

Designing a hazard intelligence platform enables public agencies to organize diversity and manage complexity in collaborative partnerships. To maintain the integrity of the platform while preserving the prosocial ethos, understanding the dynamics of “non-regulatory supplements” to central governance is crucial. In conceptualization, social responsiveness is shaped by communicative actions, in which coordination is attained through negotiated agreements by way of the evaluation of validity claims. The dynamic processes involve information processing and knowledge sharing. The access and the use of collaborative intelligence can be examined by notions of traceability and intelligence cohort. Empirical evidence indicates that social traceability is statistical significant and positively associated with the improvement of collaborative performance. Moreover, social traceability positively contributes to the efficacy of technical traceability, but not vice versa. Furthermore, technical traceability significantly contributes to both moderate and high performance improvement; while social traceability is only significant for moderate performance improvement. Therefore, the social effect is limited and contingent. The results further suggest strategic considerations. Social significance: social traceability is the fundamental consideration to high cohort performance. Cocktail therapy: high cohort performance involves an integrative strategy with high social traceability and high technical traceability. Servant leadership: public agencies should exercise limited authority and perform a supporting role in the provision of appropriate technical traceability, while actively promoting social traceability in the system.

Private labels command a growing share of food retailers' shelf space. In this dissertation, I explain this phenomenon as resulting from "umbrella branding," or the ability of a single brand to reach across categories. Conceptually, I define umbrella branding as a behavioral attribute that describes a shopper's tendency to ascribe a performance bond to a brand, or to associate certain performance characteristics to a private label brand, across multiple categories. In the second chapter, I describe the performance bond theory in detail, and then test this theory using scanner data in the chapter that follows. Because secondary data has limitations for testing behavioral theories, however, I test the performance bond theory of umbrella branding using a laboratory experiment in the fourth chapter. In this chapter, I find that households tend to transfer their perception of private label performance across categories, or that a manifestation of umbrella branding behavior can indeed explain private labels' success. In the fifth chapter, I extend this theory to compare umbrella branding in international markets, and find that performance transference takes its roots in consumers' cultural backgrounds. Taken together, my results suggest that umbrella branding is an important behavioral mechanism, and one that can be further exploited by retailers across any consumer good category with strong credence attributes.

It is well understood that decisions made under uncertainty differ from those made without risk in important and significant ways. Yet, there is very little research into how uncertainty manifests itself in the most ubiquitous of decision-making environments: Consumers' day-to-day decisions over where to shop, and what to buy for their daily grocery needs. Facing a choice between stores that either offer relatively stable "everyday low prices" (EDLP) or variable prices that reflect aggressive promotion strategies (HILO), consumers have to choose stores under price-uncertainty. I find that consumers' attitudes toward risk are critically important in determining store-choice, and that heterogeneity in risk attitudes explains the co-existence of EDLP and HILO stores - an equilibrium that was previously explained in somewhat unsatisfying ways. After choosing a store, consumers face another source of risk. While knowing the quality or taste of established brands, consumers have very little information about new products. Consequently, consumers tend to choose smaller package sizes for new products, which limits their exposure to the risk that the product does not meet their prior expectations. While the observation that consumers purchase small amounts of new products is not new, I show how this practice is fully consistent with optimal purchase decision-making by utility-maximizing consumers. I then use this insight to explain how manufacturers of consumer packaged goods (CPGs) respond to higher production costs. Because consumers base their purchase decisions in part on package size, manufacturers can use package size as a competitive tool in order to raise margins in the face of higher production costs. While others have argued that manufacturers reduce package sizes as a means of raising unit-prices (prices per unit of volume) in a hidden way, I show that the more important effect is a competitive one: Changes in package size can soften price competition, so manufacturers need not rely on fooling consumers in order to pass-through cost increases through changes in package size. The broader implications of consumer behavior under risk are dramatic. First, risk perceptions affect consumers' store choice and product choice patterns in ways that can be exploited by both retailers and manufacturers. Second, strategic considerations prevent manufacturers from manipulating package size in ways that seem designed to trick consumers. Third, many services are also offered as packages, and also involve uncertainty, so the effects identified here are likely to be pervasive throughout the consumer economy.

Unrestricted Mexican exports of sugar into the U.S. is considered the most pressing issue facing the U.S. sugar industry. The goal of this dissertation is to analyze the trade of sugar between Mexico and the U.S. as well as analyze additional primary issues confronting the U.S. sugar industry. Chapters 1 and 2 provide an introduction to the U.S. sugar industry. Chapters 3 through 6 develop trade models which analyze sugar trade between Mexico and the U.S. The trade models estimate how NAFTA, USDA sugar forecast errors and Mexican ownership of twenty percent of the Mexican sugar industry each impact U.S. producer surplus and Mexican welfare. Results validate that U.S. producer surplus and in some instances Mexican welfare were decreased by full implementation of NAFTA. U.S. producer surplus and Mexican welfare were decreased due to USDA sugar production forecasting errors. U.S. producer surplus would be increased if the Mexican government did not own twenty percent of Mexican sugar production. Using an online choice experiment, Chapter 7 assesses U.S. consumers' preferences and willingness to pay (WTP) for imported and genetically modified (GM) labeled sugar and sugar in soft drinks. Results indicate that consumers prefer bags of sugar and soft drinks labeled as "Not GM". Furthermore, consumers prefer sugar from Canada and the U.S. over sugar from Mexico, Brazil and the Philippines. Evidence is also provided that participants are more likely to choose actual products in the choice set rather than the "none of these" options when controlling for hypothetical bias by using consequentiality techniques. A non-hypothetical experimental auction was used in Chapter 8 to determine consumers' WTP for soft drinks labeled with sweetener and calorie information and analyzed the role of taste panels in an experimental auction. Results indicate that sugar is consumers' most preferred sweetener and calorie labeling is ineffective at influencing consumers to choose healthier soft drinks. Including taste in an experimental auction caused significant reductions in consumers' WTP for all soft drinks. Chapter 9 concludes by summarizing the results of this dissertation and discussing the future challenges facing the U.S. sugar industry.

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.