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.

Managers rely on analytics to make decisions and the choice of the analytical method can influence their decision-making. This dissertation considers three cases and examines how the choice of analytical methods influence interpretations and implications. These areas are communication for health-related information in social media, health information technology investment by hospitals as it relates to patient satisfaction, and health related expenditure policies of countries. These studies develop theoretical models and empirically test them on primary or secondary data, comparing the performance of popular analytical methods. The conduct of these three studies contributes to a better understanding about the choice of analytical methods and allow development of a heuristic approach by offering guidelines for selecting an appropriate methodology. They demonstrate the value of heuristic approaches for use with non-traditional and traditional statistical methods, as the information gained from non-traditional methods (NNs) provides insights into traditional statistical methods, similar to insights gained from exploratory data analysis. The studies also show the value in examining any dataset with multiple methods because they either confirm each other or fail to confirm, providing insights.

Drawing attention to an under-examined process during organizational socialization, we develop theory to explain how newcomers' new organizational roles and social identities become embedded. The process of identities becoming embedded is influenced by how an individual's preexisting identities interact with new organizational identities during socialization. Perceived harmony relationships among identities indicate if newcomers experience identities interacting in a positive or negative manner generally. Using a network perspective, we suggest that the identity embeddedness of new roles and identities are indicated by: degree centrality in an intrapersonal identity harmony network, perceived harmony with the network itself, and the perceived cost of lacking harmony with a focal identity. Newcomers are likely to be more satisfied and engaged with identities with greater embeddedness as well as find such identities more salient. Organizations can work to embed their employees' new identities through initiating identity work directed towards increasing harmony perceptions among the newcomers' new organizational identities and preexisting identities. Through helping individuals create harmony relationships among identities, organizations can improve socialization outcomes.

Traditional portfolio theory suggests that, in equilibrium, only the market risk is priced in the cross-section of expected stock returns. However, if the market is not perfect and investors are constantly changing investing behaviors based on their perceptions about future market outlook, then non-traditional risk factors could potentially provide significant power of describing the expected stock returns. This dissertation has two essays on the pricing of volatility, in which the market is not assumed to be frictionless or perfect. Essay 1 focuses on the pricing of individual volatility in penny stocks. Empirical results show that individual volatility plays an important role in describing the average cross-sectional returns of penny stocks. Resorting to the rolling portfolio approach, evidences indicate that portfolios consisting of penny stocks with high individual volatilities, on average, earned much higher returns than portfolios consisting of penny stocks with low individual volatilities. This effect is statistically significant when multiple factors are controlled simultaneously. Essay 2 focuses on the pricing of the market volatility among individual stocks. Following the rolling portfolio method, Essay 2 constructs portfolios that consist of individual stocks with various market volatility exposures. Traditional risk factors such as market beta, size, book-to-market, and momentum are controlled …

This dissertation examines whether managers influence corporate boards of directors in their auditor selection, change, and compensation decisions. This topic is important because it addresses concerns that the Sarbanes-Oxley Act of 2002 (SOX) is not effective in eliminating managerial influence over auditor engagement decisions and that it may provide a false sense of security to investors. These concerns are based on the implicit assumption that managers prefer weaker governance oversight and lower audit quality. However, empirical research testing associations between managerial influence and audit-related decisions post-SOX is scarce and generally guided by agency theory. Incorporating agency, stewardship, and resource dependence perspectives, I find that managerial preferences for auditor selection are not aligned. Specifically, CEOs positively influence the selection of higher quality auditors, whereas CFOs have the opposite effect. Further, CEOs who hold powerful roles as chairs of their companies' boards of directors appear to mitigate the negative influence of CFOs and inside directors on audit quality. CEOs serving in dual roles also oppose auditor turnover when lower earnings quality prompt higher demand for audit effort. Finally, my study provides some evidence that management exercises downward pressures on audit fees, suggesting that managers utilize their authority beyond the regulations established by …

This research introduces the unique context of immoral inaction—situations in which consumers have the opportunity to engage in virtuous behaviors but opt against doing so. Through five studies I demonstrate that in such contexts, embarrassment—a negatively valenced self-conscious moral emotion evoked by the perception that one's behavior is worthy of judgment by others—interacts with the use of approach-motivated coping strategies to lead consumers to engage in prosocial compensatory behaviors. Though extant literature suggests that marketers seeking to evoke prosocial behaviors should employ communications and promotions framed to elicit consumers' guilt, such studies are based in contexts whereby individuals feel guilty and/or embarrassed because of something they have done, not for something they did not do. This research suggests that that the condition of immoral inaction serves to evoke a contrasting psychological mechanism that reverses these findings, making embarrassment a more effective driver of desired outcomes when marketers seek to promote overcoming past inactions. These findings are discussed in light of their implications for research and application.

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 …

Now more than ever, consumers are deciding to forgo modern products and are buying vintage instead. Yet, despite the growing importance of vintage products in the consumer marketplace, research investigating why consumers buy old, often outdated products remains limited. Research that examines customer shopping behavior in second-hand retail markets, were vintage products are bought and sold, is similarly rare. What drives consumers to buy vintage products? What factors influence customer-shopping behavior at second-hand retailers? This three-paper dissertation addresses these gaps by developing better and more actionable insights into why some consumers purchase vintage items. Furthermore, this three-paper dissertation looks to explain customer-shopping behavior and drives consumers to make a purchase at second-hand retail establishments.

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 …

The primary focus of this research is explicating the role of emotion in IT post-adoption behavior. Studied in the context of intelligent personal assistants (IPA), a class of conversational artificial intelligence (AI), the first study integrates elements from computer science, communications, and IS disciplines. The research identifies two constructs vital for speech-based technologies, natural language understanding, and feedback, and examines their role in use decisions. This work provides guidance to practice on how best to allocate R&D investments in conversational AI. The second essay examines the IT continuance through the theoretical lens of the expectation-confirmation model (ECM), incorportating cognitive and emotional satisfaction into the ECM framework. Empirical testing of the model suggests that it offers additional clarity on IT continuance phenomena and provides a significant improvement to the explanatory power of ECM in the context of an emerging technology. The third essay is one of the earliest efforts to conceptualize and test a theoretical model that considers emotional attachment in IT continuance behavior. This essay develops a novel model to investigate this phenomenon based on emotional attachment theory, and empirically validates the proposed model in the context of conversational artificial intelligence systems. While the existing theories of IT continuance focus …

Independent manufacturers' representatives (IMRs) are companies that sell products on behalf of manufacturers (principals), typically on a commission basis. IMRs offer principals specialized knowledge about product areas or markets, and they can function as attractive supplements or replacements for in-house sales units. The literature on IMRs' allocation of resources to their principals and the downstream impact on performance is underexplored. A paucity of published research exists using actual IMR sales and commission data, likely because this data is difficult to collect due to its sensitive nature. This dissertation fills this gap by exploring the influence of principals' use of sales controls, how these controls impact the psychological climate that arises between IMRs and their principals, and the downstream impact on IMRs' allocation of sales resources and the sales volumes actually produced. Furthermore, this dissertation answers the call for research on the impact of principal's use of house territories and house accounts, through the lens of the IMR. The dissertation features three essays. The purposes are: to identify gaps in existing IMR research in order to provide directions for future research in this domain; to explore the influence of the principal's sales controls on the psychological climate between the principal and …

This research examines the relationship between quality management (QM) practices and performance in the healthcare industry via the conduct of three studies. The results of this research contribute both to advancing QM theory as well as in developing a unique text mining method that is illustrated by examining QM in the healthcare industry. Essay 1 explains the relationship between operational performance and QM practices in the healthcare industry. This study analyzed the findings from the literature using meta-analysis. We applied confirmatory semantic analysis (CSA) to examine the Baldrige winners' applications. Essay 2 examines the benefits associated with an effective QM program in the healthcare industry. This study addressed the research question about how effective QM practice results in improved hospital performance. This study compares the performance of Baldrige Award-winning hospitals with matching hospitals, state average, and national average. The results show that the Baldrige Award can lead to an increase in patient satisfaction in certain periods. Essay 3 discusses the contribution of an online clinic appointment system (OCAS) to QM practices. An enhanced trust model was built on understanding the mechanism of patients' trust formation in the OCAS. Understanding the determinants related to patients' trust and willingness to use OCAS …

The purpose of this three-essay dissertation is to synthesize and extend the effects of decentralization in decision-making and supply chain complexity in the context of supply chain resilience (SCRES).First essay contributes to theory and practice by expanding resilience thinking into including supply chain orientation and organizational structure and their implications and also responds to prior research arguing for the importance of identifying organizational factors that improve supply chain resilience. Second essay contributes to the supply chain organizational structure and SCRES literature by not just providing empirical support for decentralization of decision making in times of disruptions but more precisely by showing the factors that either impede or facilitate decentralization at the organizational level. Understanding the interplay among these factors is critical to explaining the lack of success for decentralization in the context of SCRES. Third essay contributes to practice by reviewing some of the major complexity drivers present in the supply chains and providing strategies along with a four-step process that practitioners can use to manage complexity.

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.

This dissertation extends our understanding of how rivalries are formed, what their antecedents are, and how and why they influence consumer choices. Furthermore, the psychological processes underlying the rivalry effects and the moderating effects of temporal focus are uncovered.

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 …

Scholars and investors have studied the value premium for several decades. However, the debate over whether risk factors or biased market participants cause the value premium has never been settled. The risk explanation argues that value firms are fundamentally riskier than growth firms. At the same time, the behavioral explanation argues that biased market participants systematically misprice value and growth stocks. In this paper, I use the implied cost of equity capital to capture all risks that investors demand a premium and sort stocks into risk quantiles. The implied cost of equity capital is estimated using models proposed by Gebhardt et al., Claus and Thomas, Ohlson and Juettner-Nauroth, and Easton. I find that value stocks have higher implied cost of equity capital and lower forecasted earnings growth while growth stocks have lower implied cost of equity capital and higher forecasted earnings growth. More importantly, even within the same risk quantile, the value premium still exists. The results suggest that risk and behavioral factors simultaneously cause the value premium. Furthermore, by decomposing the holding period return, I find that adjustments in valuation ratios caused by negative earnings surprises for growth firms and positive earnings surprises for value firms at least partially …

In the pre-relationship exploration stage of a business-to-business (B2B) relationship, firms find it difficult to evaluate other parties because of the prevalence of information asymmetry. Firms must make informed decisions, otherwise, they end up in a contentious long-term relationship, which adversely affects the performance of both sides. While majority research on B2B relationships is focused in the post-relationship phase, very little has been done to identify strategies that firms can adopt to signal their firm characteristics in the pre-relationship phase. This is important, as such signals can help firms make informed purchase decisions by cutting through the information asymmetry. Also, sending the right signals can help firms extract a price premium from their prospective partners, contributing positively to their bottom line. Therefore, this dissertation consists of three essays with the objective to (i) identify positioning strategies that sellers can use to signal firm characteristics and test which elements of firm characteristics enable them to extract a price premium (ii) identify branding strategies that sellers can use to signal firm characteristics and test which elements of firm characteristics enable them to extract a price premium (iii) investigate signals that affect firm performance.