Overall my dissertation work tries to capture a holistic view of the various complex interactions that occur in technology development, implementation, adoption and diffusion, in the context of three industries by examining issues that arise due to regulation of technology. Essay 1 focuses on the social media industry, which is in the early stage of the industrial life cycle, and is the foci of government attention for its ill effect on society. Results from the study (N= 647 employed adults in the US) supported hypotheses related to the antecedents and outcomes of platform utilization in the context of the three regulation dimensions. Essay 2 focuses on the automotive industry, which is in the growth stage of the industrial life cycle. Here the focus is on electric vehicles (EV) transitioning from the niches to the main market. Results from the longitudinal study (N = 429) support the moderating role of political activism on innovation capability of manufacturers and presence of ancillary services in the diffusion of different types of electric vehicles in the US market. Essay 3 focuses on the US healthcare industry, reflecting mature stage of industrial life cycle, yet also characterized with high cost and fragmentation of service. The …

Non-deal roadshows (NDR) are privately held one-on-one meetings between the buy-side of financial institutions and firm management. Using a novel dataset of these meetings, I examine the effects that NDR meetings have on the outcomes of two important corporate events: seasoned equity offerings (SEOs) and mergers and acquisitions (M&As). I also study the potential implications of the information content in NDRs on the behavior of stock returns following earnings announcements, which has been the subject of much academic work. I structure the dissertation in three essays. In the first essay, I examine the relationship between NDR activity and the underpricing of SEOs. I find that NDRs are associated with lower SEO underpricing. This association is stronger for firms with infrequent NDR activity, for smaller firms, and for firms with higher analysts' forecast errors. These findings suggest that NDRs reduce the level of asymmetric information between firms and investors, which results in a lower cost of raising equity. In Essay 2, I investigate whether the occurrence of NDR meetings affects post-earnings-announcement drift (PEAD). I find that PEAD declines after NDR activity when the most recent NDR meeting occurs within one month before the earnings announcement. This decline is most pronounced among …

Autonomous mobile robots (AMRs) use decentralized, AI-driven decision-making processes to providing material handling capabilities in industrial settings. Essay 1 examines how firms organize and engage to mitigate uncertainty during external technology integration (ETI), using an abductive approach with dyadic customer-supplier data to extend prior ETI models by exploring firm engagement, organizational adaptation, and distinct uncertainty types in AMR ETI projects. Essay 2 applies a grounded theory approach to examine AMR integration, using constant comparison and theoretical sampling to develop core categories explaining how suppliers, customers, and users exchange knowledge impacting AMR integration and project performance. Finally, Essay 3 is a conceptual paper examining the importance of end-user adoption by integrating ETI and technology acceptance model (TAM) frameworks, exploring important relationships between managerial interventions, cognitive constructs, user acceptance, and project success in AMR ETIs. As a whole, these essays contribute to the body of knowledge by extending the breadth and depth of current ETI models, emerging a substantive theory of AMR AIU, and extending TAM by grounding managerial interventions and individual cognitive constructs in an AMR context. Managers can use these frameworks to differentiate AMRs and other autonomous collaborative technology from traditional automation, and develop strategies enabling timely and effective AMR …

The purpose of our research is to empirically test how system attributes of blockchain build trust through system and information components in blockchain food traceability systems. Findings showed that system attributes of blockchain are strong predictors of trust leading to intention to purchase. A sample of 358 responses were collected from college students through online survey. SmartPLS 3.0 is adopted for data analysis. We made contributions by building a new research model to guide future studies on trust formation in blockchain based systems as well as informing practice to adopt proven features of blockchain to create and capture values for customers.

This dissertation provides empirical and theoretical support for the antecedents and consequences of cyber resilience via three essays on cyber resilience. Essay 1 comprises 2 studies using a multi-method empirical research effort to determine whether emphasizing suppliers' implementation and use of business continuity management (S-BCM) is actually beneficial to buyers. In Study 1, data from 150 managers was collected via a survey-based questionnaire to determine whether buyers' adoption of monitoring supplier operational performance (MS-OP) and monitoring S-BCM (MS-BCM) enhances S-BCM implementation and use. Evidence from Study 1 suggests that MS-BCM is more effective than MS-OP. Moreover, the results suggest that while buyer power positively augments the effectiveness of MS-BCM, it actually has a diminishing effect on the effectiveness of MS-OP. Study 2 uses the data of 114 managers from a vignette-based experiment to determine whether S-BCM leads to improved buyer operational and financial performance. Study 2 offers evidence that confirms the positive link between S-BCM and buyer operational and financial performance. The results also suggest that the use of reward power further enhances the association between S-BCM and buyer performance. Using two studies, Essay 2 examines how supply chain power and learning can be related to cyber resilience capability. Study …

Location-based ads are defined as any ads that are sent by an identified source to consumers' mobile devices when they are around the advertised product/store. Although mobile ad spending is said to have accounted for 68% of all digital ad spending in 2020, knowledge of how businesses can use mobile and location-based technology to reach their customers effectively is limited. Thus, the purpose of this three-essay format dissertation is to review the literature on LBA and identify the gaps in the literature and attempt to address a few of these gaps in the remaining two essays. The second essay tests an integrated model by examining the effects of the various retailer and consumer-controlled factors on two retail performances. In the third essay, we explore how LBA affects different dimensions of consumer-brand engagement. The results and findings provide important implications for retailers and brands to increase their performances.

I extended and adapted the current technology acceptance models and privacy research to the peculiar context of the COVID-19 pandemic to ascertain the effective "power" of IT in fighting such a pandemic. The research models developed for the purpose of this study contain peculiar modifications to the technological-personal-environmental (TPE) framework and privacy calculus model because of the unique technologies implemented and the peculiar pandemic scenario. I developed three studies that investigate the interaction between social, legal, and technical factors that affect the adoption of IoT devices and blockchain systems implemented to fight the spread of COVID-19. Essay 1 systematically reviews existing literature on the analysis of the social, legal, and technical components in addressing phenomena related to IoT architecture and blockchain technology. The employment of a comparable coding method allows finding which of the above components is prominent in relation to the study of IoT and blockchain. Essay 2 develops a technological acceptance model by integrating the TPE framework with new constructs, i.e., regulatory environment, epidemic ecosystem, pre-epidemic ecosystem, perceived social usefulness, and technical characteristics. Essay 3 further explores the interplay between social, legal, and technical factors toward the adoption of smart contracts in the context of the COVID-19 pandemic. …

Size premium puzzle, also known as the size effect, is one of the most studied anomalies in asset pricing literature. It refers to the observation that, on average, smaller firms have higher risk-adjusted returns than larger firms over a long period of time. While many studies have debated the existence of the size effect, the question of why it exists has become a subject of heated debate. Thus, this dissertation aims to examine if previously overlooked factors can, at least partially, explain the size effect. Essay 1 examines if merger and acquisition activity can explain a part of the size effect. I find that merger and acquisition activity explain a part of the size effect. The size effect is found to be stronger during merger waves but is not consistent across industries. Further, the size effect tends to be stronger when acquisition activity is concentrated among smaller firms. Essay 2 investigates if expectational errors explain the higher return of small firms. Several empirical studies show that stocks that investors underestimate yield higher returns. However, I do not find support for the underestimation explanation in explaining the higher returns of small firms. Instead, I find that investors are overly optimistic about …

This study addresses the antecedents of individuals' disposition to use telemedicine applications, as well as the antecedents of their usage to provide insight into creating sustained usage over time. The theoretical framework of this research is Bhattacherjee's expectation-confirmation IS continuance model. By combining a series of key factors which may influence the initial and continued usage of telemedicine applications with key constructs of Bhattacherjee's IS continuance model, this study aims to provide a deeper understanding of barriers to telemedicine app usage and how to facilitate continued use of these apps. Online survey data was collected from college students who are telemedicine application users. A total of 313 responses were gathered, and data analysis was conducted using SmartPLS 3. This dissertation contributes by looking at the IS adoption and IS continuance research simultaneously to connect these two research streams as well as suggesting the usage context of some established IS theory being different with regard to healthcare applications.

Non-professional investors often rely on information obtained from social media to make investment decisions. Extant literature has not examined the most effective strategy for the target company to counter the rumors so that investors will be more willing to continue investing in the target firm. Drawing on source credibility theory and the moral intensity model, I propose that the most effective strategy would vary given different agents who are selected to counter the rumor. After conducting a 2 x 3 (counter-rumor source x counter-rumor strategy) experiment with 272 non-professional investors recruited from Amazon Mechanical Turk, my study shows that when an internal agent (e.g., the CEO) acts as a counter-rumor source, shareholders are more willing to invest in the company when the internal agent utilizes a denial strategy rather than a reassociation or a questioning strategy. In contrast, when an external agent (e.g., a famous food blogger) serves as the counter-rumor source, the external agent can also use a questioning strategy in addition to a denial strategy to motivate shareholders to be more willing to invest in the company; however, the external agent still needs to avoid from engaging a reassociation strategy. Moderated serial-mediation analysis shows that the persuasiveness of …

In collective affect research, an assumption is often made that through processes such as emotional contagion and attraction-selection-attrition members will converge unto a shared group affective tone. While this assumption is not without warrant, a limitation of previous work on interpersonal emotional processes of individuals, individuals within dyadic relationships, or members within teams is the lack of examination into the varying perceptions individuals may form regarding these affective experiences. To examine the development and influence of these affective perceptions, we extend recent works from work group conflict literature to examine the influence of perception asymmetry when applied to affective interactions. Wherein, we describe a novel construct of Perception Asymmetry of Affect (PAA). PAA refers to the congruence (e.g.; low level of PAA) or incongruence (e.g.; high level) of perceptions of positive and negative affective experiences between two or more individuals. This paper explores the following questions: 1) does perception asymmetry of affect exist; 2) if so, what causes perception asymmetry between individuals and their groups, within dyads, and within groups. This article contributes to literature on collective affect by offering a detailed framework for an understudied phenomenon of diverging or asymmetric perceptions.

Phishing is a social engineering attack to deceive and persuade people to divulge private information like usernames and passwords, account details (including bank account details), and social security numbers. Phishers typically utilize e-mail, chat, text messages, or social media. Despite the presence of automatic anti-phishing filters, phishing messages reach online users' inboxes. Understanding the influence of phishing techniques and individual differences on susceptibility and detection accuracy is an important step toward creating comprehensive behavioral and organizational anti-phishing awareness programs. This dissertation seeks to achieve a dual purpose in a series of three essays. Essay 1 seeks to explore the nature of phishing threats that including identifying attack intentions, and psychological and design techniques of phishing attacks. Essay 2 seeks to understand the relative influence of attack techniques and individual phishing experiential traits on people's phishing susceptibility. Essay 3 seeks to understand an individual's cognitive and affective differences that differentiate between an individual's phishing detection accuracy.

Intelligent algorithm approaches that augment the analytical capabilities of traditional techniques may improve the evaluation and performance of decision making units (DMUs). Crises such as the massive COVID-19 pandemic-related shock to businesses have prompted the deployment of analytical tools to provide solutions to emerging complex questions with incredible speed and accuracy. Performance evaluation of DMUs (e.g., financial institutions) is challenging and often depends on the sophistication and robustness of analytical methods. Therefore, advances in analytical methods capable of accurate solutions for competitive real-world applications are essential to managers. This dissertation introduces and reviews three robust methods for evaluating and optimizing the decision-making processes of DMUs to assist managers in enhancing the productivity and performance of their operational goals. The first essay proposes a robust search field division method, which improves the performance of evolutionary algorithms. The second essay proposes a robust double judgment approach method that enhances the efficiency of the data envelopment analysis method. The third essay proposes a robust general regression neural network method to examine the effect of shocks on GDP loss caused by COVID-19 on the global economy. These three essays contribute to optimization methodology by introducing novel robust techniques for managers of DMUs to improve …

This paper investigates the determinants of mutual fund portfolio manager ownership and its association with fund performance. Using hand-collected data of 1,420 U.S. equity funds from 32 fund families, we find that variations in fund manager holdings are broadly consistent with optimal contracting theory instead of the result of managers' personal investment consideration. Portfolio manager ownership is positively and significantly correlated with variables that proxy for intensity of agency conflicts. Specifically, portfolio managers hold more mutual fund shares when the size of concurrently managed hedge fund increases and when the advisor is affiliated to the bank. In addition, fund managers invest more in funds with primary investment in growth stock, non-index funds, and solo-managed funds. Regarding to the alternative governance mechanism, higher threat of dismissal for outsourced funds, stronger monitoring from institutional investors, and long-term performance based bonus work as substitutes of fund manager ownership while director ownership works as a compliment. Finally, we find little evidence supporting the notion that funds with higher portfolio manager ownership perform better.

Team psychological safety fosters interpersonal risk-taking and constructive debate. Yet, how psychological safety develops in diverse teams needs to be explained. I apply collective regulatory lenses to shed light on how collective prevention focus (status quo) and collective promotion focus (growth) uniquely affect team psychological safety. I believe promotion focus makes it easier to attain psychological safety, while prevention focus makes it harder. Under a collective promotion lens, teams seek growth. Under a collective prevention lens, teams desire protection and not making things any worse. A pilot study of 76 students in 17 student project teams provided initial support for individual relationships in my model. In Study 2, an experiment, I manipulated team regulatory foci in three tasks (building towers, selling a house, negotiating a salary). I did not find significant mean group differences in psychological safety between promotion (n = 17) and prevention (n = 15) teams; yet, promotion teams experienced greater team viability in the final activity. In Study 3, I employed an experimental vignette method that suggested leadership conditions (e.g., leader humility vs transactional leadership) created differences in regulatory foci and subsequent differences in psychological safety with 343 working professionals in 7 scenarios.

Services and service-based business are a major part of any economy. However, service-based supply chains require a greater level of interaction between provider and consumer than the traditional manufacturing or product-based supply chain. Therefore, they require optimization and resiliency models that acknowledge the constraints and goals unique to service-based industries. Value co-creation and service-dominant logistics (SDL) are relatively new to operations research. Existing literature in management science provides a framework for value co-creation but does not provide a model for optimizing value cocreation and resiliency in a complex or dynamic systems such as education supply chains (ESC). This dissertation addresses these knowledge gaps through 3 essays. The first essay establishes a method for optimizing investment in resiliency measures when utilizing parallel supply chains. The essay examines the intersection of value co-creation theory between higher education and service-dominant logistics (SDL) to understand the role of supply chain elements in value cocreation. The second essay provides a theoretical approach to incorporating resilience planning into the customer relationship management model. The final essay establishes a method for optimizing investment in resiliency measures when utilizing parallel service supply chains.

While some individuals experience their work as meaningful, others, with the same job, do not. The purpose of this dissertation is to answer the following question: Why do different individuals, with the same job, view the meaningfulness of their work in conflicting ways? I draw on terror management theory and generativity theory to answer this question by testing the relationship between death awareness and meaningful work. The bulk of academic work concerning meaningful work focuses on its outcomes and few scholars have explained the antecedents of meaningful work. This study aims to extend empirical work of the relationship between death awareness and meaningful.

In a society fixated on leaders, where does that leave followers? Followership highlights the follower in the leadership process, examines who are followers, and explores how and why people follow. Much of the existing literature on followership has focused on classifying followers into follower types. However, less is known about why an employee might enact a particular follower role. The purpose of this dissertation is to understand how leaders influence the likelihood that followers to enact a particular follower role orientation, either coproducing or passive. Specifically, this research contributes to understanding the impact of transformational leadership on follower motivation and follower role orientation. An additional contribution of this dissertation is to establish the theoretical mechanism that explains the connection between leader behavior and follower role orientation by integrating self-determination theory (SDT) into the process of followership. Through SDT, we gain understanding of the origins of these roles by explaining their underlying motivation. Study 1 consisted of sequential experiments with a between-subject design that used distinct vignettes for transformational leadership and work-based need satisfaction. Findings support the causal relationship between transformational leadership and follower needs satisfaction; however, the casual relationship between follower need satisfaction and follower role orientation was not significant. …

AI-enabled virtual assistants (AIVAs) have become increasingly popular (e.g., Amazon Alexa, Google Home) and assist consumers with various tasks, including home automation, access to media, entertainment, and shopping. Essay 1 focuses on the outcomes of consumers' lost autonomy after information search using AIVAs versus an online search engine (e.g., Google). Drawing on research in advances in AI technology, I predict that interacting with AIVAs (versus online search engines) will lead to several consumer outcomes: decreased cognitive task performance, word of mouth (WOM) intentions, and the desire for an unrelated subsequent search. I find support for my predictions across five studies, using different tasks to assess performance (verbal and quantitative), after interactions with both real (Amazon Alexa) and fake (Halo) AIVA brands, across different respondent populations (CloudResearch, MTurk, Prolific), thereby enhancing confidence in my findings. In Essay 2, I consider a different consumer outcome - embarrassment, and also a different underlying process variable – social presence. I predict that when consumers engage in information search using an AIVA, they will subsequently experience greater embarrassment when asked about embarrassing products (e.g., condoms, medication for gas, etc.). The increased embarrassment occurs even when the information search is unrelated to the embarrassing products (e.g., …