Improving Consumer Well-being: A Focus on Financial Health and Technology Adoption

dc.contributor.authorPark, Gayoungen
dc.contributor.committeechairBagchi, Rajeshen
dc.contributor.committeememberMay, Frank Dominicken
dc.contributor.committeememberZhu, Mengen
dc.contributor.committeememberPandelaere, Marioen
dc.contributor.committeememberMadan, Shilpaen
dc.contributor.departmentMarketingen
dc.date.accessioned2025-05-07T08:00:21Zen
dc.date.available2025-05-07T08:00:21Zen
dc.date.issued2025-05-06en
dc.description.abstractHumans have always faced threats, including physical, economic, and psychological harm from their environments. Unlike physical harm, psychological harm is less tangible and yet can lead to prolonged stress or mental illness. As society has evolved through technological advancements and increased complexity, so too has the nature of harm. Some threats, like the COVID-19 pandemic, have relatively clear and predictable consequences such as job loss and financial hardships, impacting both economic and psychological well-being. The digital age has introduced new types of harm associated with privacy violations and AI technology adoption. While people might have a vague idea of the negative consequences of such harm, they are often not certain about what specific harm they might encounter and how these could affect them in the future. Given the dynamics of harm, it is critical to understand both the impacts of harm that has already occurred and those that might occur in the future. The focus of this dissertation is on understanding psychological harm that consumers experience in two important domains—that of financial well-being and technology adoption. In essay 1, I study how consumers respond after missing a credit card payment and suggest an effective intervention to increase repayment. I find that providing an additional short period of time where any fees associated with missed payment are not levied increases repayment. I call this the "additional grace period" and demonstrate why it emerges. In essay 2, I investigate how consumers judge AI systems that use machine learning models that learn from customers' data to improve their performance. Although learning carries positive connotations associated with knowledge acquisition and personal growth, I find that consumers perceive a greater risk of using AI systems that are still learning compared to those that have completed learning. I document why this happens and explore the behavioral consequences.en
dc.description.abstractgeneralHumans have always faced threats, including physical, economic, and psychological harm from their environments. Unlike physical harm, psychological harm is less tangible and yet can lead to prolonged stress or mental illness. As society has evolved through technological advancements and increased complexity, so too has the nature of harm. Some threats, like the COVID-19 pandemic, have relatively clear and predictable consequences such as job loss and financial hardships, impacting both economic and psychological well-being. The digital age has introduced new types of harm associated with privacy violations and AI technology adoption. While people might have a vague idea of the negative consequences of such harm, they are often not certain about what specific harm they might encounter and how these could affect them in the future. Given the dynamics of harm, it is critical to understand both the impacts of harm that has already occurred and those that might occur in the future. The focus of this dissertation is on understanding psychological harm that consumers experience in two important domains—that of financial well-being and technology adoption. In essay 1, I focus on consumers who have missed their credit card payments. The typical approach for firms is to levy higher fees on these consumers, which makes late or missed payments more expensive for consumers. On the contrary, I find that providing an additional short period of time where any fees associated with missed payment are not levied increases repayment. When this additional grace period is provided, consumers believe that they now have an opportunity to start afresh from the next cycle, increasing their motivation and debt repayment. In essay 2, I study how consumers judge AI systems that use machine learning models that learn from customers' data to improve their performance. Although learning carries positive connotations associated with knowledge acquisition and personal growth, I find that the positive associations with human learning do not extend to AI learning. Instead, consumers perceive a greater risk of using AI systems that are still learning relative to those that have completed learning. This effect emerges because consumers feel exploited when AI systems learn from them believing that it could harm them in the future.en
dc.description.degreeDoctor of Philosophyen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:43043en
dc.identifier.urihttps://hdl.handle.net/10919/129377en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectfinancial well-beingen
dc.subjectconsumer debten
dc.subjectdebt repaymenten
dc.subjectgrace perioden
dc.subjecttechnology adoptionen
dc.subjectartificial Intelligenceen
dc.subjectmachine learningen
dc.subjectexperimentationen
dc.titleImproving Consumer Well-being: A Focus on Financial Health and Technology Adoptionen
dc.typeDissertationen
thesis.degree.disciplineBusiness, Marketingen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.nameDoctor of Philosophyen

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