Intellectual Capital (IC) is the intellectual capability of an organization; it drives the usage of other productive resources and adds value to the business structure. Although the expanding literature on IC has enhanced our understanding, the effects of IC with relation to consumers have not been explored in the marketing literature. Thus, this study fills this void by approaching the notion of IC from a customer perspective. Customer value also has attracted extensive attention in recent years. However, the lack of agreement among scholars with respect to the conceptualization of customer value has resulted in inconsistent empirical measures. Furthermore, despite extensive research focus on IC and customer value separately, there is a void in the literature as far as investigating the relationship between the two is concerned. Thus, this study also empirically investigates the predictive relationships among the various dimensions of IC and perceived customer value. This dissertation delineates three dimensions of IC (i.e., Human Capital, Structural Capital, and Relational Capital) available to a retail store in creating value for customers. This study tests the psychometric properties of scale items for measuring these three resources in an apparel retailing context. It also tests the effects of IC on customer value …

The purpose of this research is to empirically investigate consumers' health care decision choices in a dynamic market setting. The unprecedented demands on the U.S. health care system coupled with the mounting controversies surrounding health care reform suggest that consumers' health care decisions warrant empirical research attention. Toward this end, this dissertation empirically explored (1) the characteristics of consumers who possess a willingness to use non-conventional treatments over conventional treatments, (2) the characteristics of consumers who elect self-medication in lieu of health care practitioner-directed medication, and (3) the salient dimensions of consumers' channel choice for the procurement of health care products. Each of these decision choice factors were tested across two U.S. generational segments to assess whether differences existed across Baby Boomers' and Gen Yers' health care decision choices. The conceptual framework for empirical assessment is Bandura's (1986) social cognitive theory. From Bandura's social cognitive theory, a general model of healthcare decision choice is proposed to assess consumers' states of mind, states of being and states of action (decision choice). Results indicate that social cognitive factors (e.g., self-efficacy, objectivism) play an important role in each of the decision domains explored in this dissertation. Moreover, health value was found to be …

The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, data governance, big data capabilities, cost of quality, risk analysis and supply chain performance. The contribution of this research resulted in a new theoretical framework that provides researchers and practitioners with an ability to visualize the relationship between collection and use of BD and the SC. This framework provides a model for future researchers to test the relationships posited and continue to extend understanding about how BD can benefit SC practice. While it is anticipated that the proposed theoretical framework will evolve as a result of future examination and enhanced understating of the relationships shown the framework presented represents a critical first step for moving the literature and practice forward.

Product return is a necessary part of the exchange process between companies and customers. It accounts for approximately 16% of total sales and a reduction in retailer / manufacturer profits by 3.8% on average. However, industry data also indicates that a significant portion of products are returned for reasons other than product failure – e.g., change of mind, found a lower price elsewhere, or fraudulent and unethical reasons. Consequently, many firms (e.g., REI) have altered their generous return policies to protect their profits. However, it’s been found that the restricted return policy could also reduce customer satisfaction, increase the perceived risk, and thus negatively affect customers’ loyalty towards a particular store or firm. Thus having a restrictive return policy does not help either. Extant literature mainly focuses on return policies. Little attention has been devoted to the product return behavior itself, thus missing the consumer’s perspective. This study, therefore, focuses on understanding consumers’ return behaviors, including different types of return behaviors, and the drivers and consequences of these different return behaviors. Towards this goal, this study first categorizes all possible types of consumers’ return behaviors into two broad categories - legitimate return behaviors and opportunistic return behaviors. Second, both internal …

When games were first developed for in-home use, they were primarily targeted almost exclusively at children and males. However, today’s marketplace manifests a more diverse population plays Internet-enabled games that can be played virtually anywhere. The average gamer is now 30 years old. Many gamers, obviously, are much older. Yet more strikingly, and more germane to this study’s purpose, 47% of the U.S. gamer population is female, as compared to 40% in 2010. Despite these trends the gaming industry remains a male-dominated culture. The marketer’s job is to facilitate game engagement and to motivate gamers to play. The notion of “engagement” is not new in business. The term was developed in the last decade. Many studies were devoted to understand, explain, and define the term. It suggests that within interactive, dynamic business environments, consumer engagement (CE) represents a strategic position that companies can use to enhance their sales growth, competitive advantage, and profitability. Moreover, there are three levels of engagement in any experiential consumption (i.e., playing video game): presence, flow, and psychological absorption. The findings of this study affirm that consumer engagement, including presence, flow and psychological absorption are explanatory factors that impact gamer’s purchase intentions. Our results show that …