Electronic Theses and Dissertations

Sungjin Yoo

Date

2019

Document Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Information Systems

Committee Chair

William J Kettinger

Committee Member

Chen Zhang

Committee Member

Euntae "Ted" Lee

Committee Member

Srikar Velichety

Abstract

Information technology (IT) and IT-enabled business models are transforming the business ecosystem and posing new challenges for existing companies. This two-essay dissertation examines two such challenges: cloud security and the disruption of asset-sharing business models.The first essay examines how an organizations usage of cloud storage affects its likelihood of accidental breaches. The quasi-experiment in the U.S. healthcare sector reveals that organizations with higher levels of digitalization (i.e., Electronic Health Records levels) or those with more IT applications running on their internal data center are less likely to experience accidental breaches after using public cloud storage. We argue that digitalization and operational control over IT applications increase organizations awareness and capabilities of establishing a company-wide security culture, thereby reducing negligence related to physical devices and unintended disclosure after adopting cloud storage. The usage of cloud storage is more likely to cause accidental breaches for organizations contracting to more reputable or domain expert vendors. We explain this result as the consequence of less attention being focused on securing personally accessible data and physical devices given high reliance on reputed and knowledgeable cloud providers. This research is among the first to empirically examine the actual security impacts of organizations cloud storage usage and offers practical insights for cloud security management.The second essay examines how Asset-Sharing Business Model Prevalence (ASBMP) affects the performance implications of industry incumbent firms competitive actions when faced with entrants with asset-sharing business models, like Airbnb. ASBMP represents the amount of third-party products and services that originally were unavailable inside the traditional business model but now are orchestrated by asset-sharing companies in an industry. We use texting mining and econometrics approaches to analyze a longitudinal dataset in the accommodation industry. Our results demonstrate that incumbents competitive action repertoires (i.e., action volume, complexity, and heterogeneity) increase their performance when the ASBMP is high but decrease incumbents performance when the ASBMP is low. Practically, incumbents who are facing greater threat from asset-sharing firms can implement more aggressive competitive action repertoires and strategically focus on new product and M&A strategies. This research contributes to the literature of both competitive dynamics and asset-sharing business models.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to ProQuest

Notes

embargoed

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