This dissertation consists of three studies that collectively investigate the factors influencing the consumer adoption intention towards emerging healthcare technologies. Essay 1 systematically reviews the extent literature on healthcare technology adoption and serves as the theoretical foundation of the dissertation. It investigates different models that have been previously applied to study healthcare technology acceptance. Meta-analysis method is used to quantitatively synthesize the findings from prior empirical studies. Essay 2 posits, develops, and tests a comprehensive biotechnology acceptance model from the end-user's perspective. Two new constructs, namely, perceived risk and trust in technology, are integrated into the unified theory of acceptance and use of technology. Research hypotheses are tested using survey data and partial least square – structural equation modeling (PLS-SEM). Essay 3 extends the findings from the Essay 2 and further investigates the consumer's trust initiation and its effect on behavioral adoption intention. To achieve this purpose, Essay 3 posits and develops a trust model. Survey data allows testing the model using PLS-SEM. The models developed in this dissertation reflect significant modifications specific to the healthcare context. The findings provide value for academia, practitioners, and policymakers.

In 2018, global gross domestic product (GDP) was US$86.3 trillion, and almost a quarter of that value was due to international trade with a value of US$19.6 trillion. Air cargo accounts for about 35 percent of that trade value (approximately US$6.86 trillion). Moreover, from the perspective of the airport sector, air cargo revenue contributes between 20 to 70 percent of airport revenue. The global airport revenue for freight in 2018 was US$250 billion. Despite the interest and research activities surrounding competition and competitiveness of airports and specifically among airlines and passengers, it appears scholars have overlooked research concerning the competitiveness of airports when it comes to air cargo. This study attempts to fill the gap in the supply chain and logistics literature by putting forward a framework and ultimately operationalizing the framework highlighting the pivotal role of air cargo in the supply chain domain and within the global economy. Specifically, the framework is operationalized within the freight forwarding air cargo supply chain domain – providing insight into this important yet understudied phenomenon. The population of interest is freight forwarders from the Dubai International Airport, United Arab Emirates. The Middle East represents 18 percent of the world's air cargo volume and …

Contentious interactions may arise between a tax professional and client upon a disagreement over a tax position. In an increasingly competitive tax return preparation market, these contentious interactions represent a significant threat to tax practitioners' client satisfaction and retention objectives. I conduct an experiment in which I examine the effect of three factors on tax clients' (1) likelihood to accept the advice of the tax accountant and (2) likelihood to switch tax accountants upon receiving professional advice counter to their preferred tax position. The three factors are: (1) clients' antagonistic narcissism; (2) clients' relationship with the accountant; and (3) how the advice is framed by the tax accountant. The results are based on a sample of 93 taxpayers. First, this study examines how clients' measured levels of narcissistic antagonism (hereafter, antagonism) impacts their reaction to "being told no" by their tax professional. Results indicate that upon the receipt of advice contrary to their preferences, highly antagonistic clients are more likely to (1) engage in a contentious interaction with their professional and (2) switch to a new tax professional. Supplemental path analyses document that individuals with high levels of antagonism cognitively react to instances of "being told no" by simultaneously devaluing …

Social media platforms create rich social structures, expand users' boundaries of social networks and revolutionize traditional forms of communications, social interactions and social relationships. These platforms not only facilitate the creation and sharing of news and information, but they also drive various kinds of businesses models, processes and operations, knowledge sharing, marketing strategies for brand management and socio-political discourses essential for healthy and democratic functions. As such, social media has greater implications on organizations and society brought about by individuals' social media usage patterns, and therefore, calls for further investigations. The main objective of this dissertation is to explore and offer insights into such social media usage and information sharing behaviors via data driven examination of various theories. This dissertation involves three studies that focus on factors that explain individuals' three different social media usage behaviors. Essay 1 investigates individuals' perceived importance of online affiliation, self-esteem, self-regulation and risk-benefit structure as antecedents of users' geo-tagging behavior on social media. Essay 2 examines the role of online news quality, source credibility, individuals' perception towards online civic engagement, attitude towards news sharing and social influences to understand users' news sharing behavior on social media platforms. Essay 3 seeks to examine the individuals' …