This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
In this study I investigate the factors that may influence consumer preference and choice in China’s home interior decoration industry. With the fast development of information technology such as the internet in China, it becomes increasingly important to have a more precise understanding of consumer preference and choice in home…
In this study I investigate the factors that may influence consumer preference and choice in China’s home interior decoration industry. With the fast development of information technology such as the internet in China, it becomes increasingly important to have a more precise understanding of consumer preference and choice in home interior decoration decisions so that companies in this industry can provide better services to meet customer needs. Using survey data from a sample of potential customers and a sample of existing customers of a large home interior decoration company, I find that (1) internet has become the mostly used channel by consumers to gather information about home interior decoration, (2) design style is the most influential factor in consumers’ choice of home interior decoration company, and (3) consumers are more likely to choose home interior decoration companies to provide full services when they are between 35 to 45 years old or above 55 years old, when it is the first time for them to purchase a real estate property, and when they are located in the Eastern region of China. Findings of this study can help home interior decoration companies better understand customer needs and preferences, facilitate changes in their marketing and sales strategies, and consequently strengthen their competitive advantage.
This dissertation explores how emergent technologies influence consumer experience and market behavior. The first chapter of the dissertation, “The Effect of Implementing Chatbot Customer Service on Stock Returns: An Event Study Analysis,” employs the event study method to examine how the implementation of customer service chatbots impacts firm value. I…
This dissertation explores how emergent technologies influence consumer experience and market behavior. The first chapter of the dissertation, “The Effect of Implementing Chatbot Customer Service on Stock Returns: An Event Study Analysis,” employs the event study method to examine how the implementation of customer service chatbots impacts firm value. I find that investors respond positively to chatbot implementation and that Business-to-Business (B2B) companies have significantly more to gain from this service innovation compared to Business-to-Consumer (B2C) companies. However, anthropomorphizing chatbots attenuates this positive financial impact for B2B companies, suggesting differences in expectations and preferences of B2C and B2B customers. A survey of investors and a consumer experiment provide additional evidence for these relationships. While prior research suggests that Artificial Intelligence (AI) implementation may have a negative impact on firm value, using the example of AI chatbots, this research provides the first evidence that investors respond favorably to a customer-centric application of AI. In addition, it broadens the predominant consumer-focused lens of the marketing literature on AI to include B2B customer and investor perspectives. Further, while marketing research has primarily viewed anthropomorphism as a categorical variable, I propose an anthropomorphism index that offers a more nuanced approach to examining the anthropomorphism of AI technology.In the second chapter, “Understanding Antagonistic Consumer Behavior Toward Humanlike Robots in the Marketplace,” I examine consumer antagonism toward service robots and contribute theoretically and substantively to the emerging marketing literature on AI. Using carefully designed experiments, I demonstrate that consumers tend to dehumanize and, consequently, behave antagonistically toward humanoid (vs. non-humanoid) service robots. While prior research shows that people avoid humanoid robots, this research is the first to show that consumers dehumanize and subsequently engage in anti-normative, negative approach behavior when such robots are deployed in customer-facing service roles. Furthermore, this research contributes to the dehumanization literature by demonstrating that dehumanization is a two-step process when applied to service technology. Importantly, the findings help reconcile the contradiction between the literature on anthropomorphism and the uncanny valley hypothesis by demonstrating that consumers receive humanoid (vs. non-humanoid) robots more positively when the effect of dehumanization is mitigated.