In this dissertation, I theorize on how gaslighting manifests in managerial and organizational settings. I discuss the process of gaslighting and how the use of various manipulation tactics manifests between people in organizations over time. I take three distinctive approaches to study this complex phenomenon. First, using a rich case study, I develop new theory to explain how one notorious child molester was able to sustain a career for decades while assaulting hundreds of children and young women. In doing so, I introduce the concept of gaslighting which previously has only been rigorously applied to intimate interpersonal relationships in domestic (e.g., at home) settings. In essay 2, I expand on the individual level theory developed in essay 1 to develop a more generalized theory of gaslighting in organizations. I situate gaslighting within a nomological net of related constructs and illustrate how gaslighting is a unique construct with different antecedents and consequences that occurs in organizations more often than it should. In my final essay, I build on one of the propositions developed in essay 2 and empirically test what antecedents are likely to influence whether or not a firm is accused of gaslighting on Twitter. Through doing so, I find …

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 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.

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.

This dissertation research explores the factors that influence direct selling agents' sales performance and job satisfaction. In the direct selling channels, the agents not only sell the products to customers. They may concurrently perform a "distributor" role as a stand-alone entity composed of their own sales network. This dissertation research features two essays. The first essay investigates how direct selling agents' perceptions of control and sense of belonging relate to PO. This essay further explores how PO influences job performance and job satisfaction. Results suggest that perception of control and sense of belonging fuel PO. Furthermore, leader-member exchange mediates the relationship between PO and sales performance, as well as PO and job satisfaction in direct selling networks. The second essay introduces a new construct (relational incongruity) and discusses how complex sales environments and direct selling agents' organizational structures influence the relational incongruity in their organization and its ensuring effect on sales performance and job satisfaction. The results indicate that organizational complexity is positively related to relational incongruity. However, customer complexity has a negative impact on relational incongruity. Relational incongruity in direct selling agents' organizations has negative effects on job satisfaction but has no effects on sales performance. Epistemic curiosity undermines …

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.

AI-enabled information systems (AI-enabled IS) offer enhanced utility and efficiency due to their knowledge-based endowments, enabling human agents to assign and receive tasks from AI-enabled IS. As a result, this leads to improved decision-making, ability to manage laborious jobs, and a decrease in human errors. Despite the performance-based endowments and efficiencies, there are significant ethical concerns regarding the use of and delegation to AI-enabled IS, which have been extensively addressed in the literature on the dark side of artificial intelligence (AI). Notable concerns include bias and discrimination, fairness, transparency, privacy, accountability, and autonomy. However, the Information Systems (IS) literature does not have a delegation framework that incorporates ethics in the delegation mechanism. This work seeks to integrate a mixed deontological-teleological ethical system into the delegation mechanism to (and from) AI-enabled IS. To that end, I present a testable model to ethically appraise various AI-enabled IS as well as ethically evaluate delegation to (and from) AI-enabled IS in various settings and situations.

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.

Supply chain transparency is principally focused on a company's efforts toward disclosing information about their products, and their supply chain operations to the public. Essay 1 is a conceptual paper that examines the risks of disclosing supply chain mapping information to consumers and proposes an approach to developing risk mitigation strategies. This essay also develops a set of supply chain mapping conventions that support the development of an agility-focused supply chain map. Essay 2 employs an experimental design methodology to examine the impact of disclosing the ethnicity of a supplier on consumers' behaviors, while also capturing the extent to which a consumers' ethnic identity and prosocial disposition influence their behaviors. Finally, also using an experimental design, Essay 3 analyzes consumer outcomes based on disclosing no, partial, and full supply chain transparency information, and accounts for heterogenous consumer traits such as the importance of information to a consumer and their perceived quality of information. Collectively, these essays advance the body of knowledge that seeks to understand the risks and benefits of supply chain transparency, by conceptually identifying risks and proposing an approach to minimize the risks associated with supply chain transparency, and by illuminating the conditions that prompt favorable consumer outcomes.