Date of Conferral

2023

Degree

Ph.D.

School

Management

Advisor

Aridaman Jain

Abstract

Although the relationship between big data analytics (BDA) organizational, firm, and financial performance is well supported, little attention has been paid in extant research to exploring the organizational design issues resulting from information asymmetry caused by BDA; in particular, organizational absorptive choices that include acquisitions, mergers, reorganization, executive changes, or board of director adjustments. The purpose of this qualitative single case study within a U.S. hospital was to explore the conditions and circumstances that influence absorptive organizational design choices of hospital administration. The theoretical base of this study is Pfeffer and Salancik’s resource dependence theory (RDT). Logic model data analysis approach was conducted on primary data attained from semistructured interviews of 12 volunteers of hospital administration and secondary data from grey literature. The findings of this study suggest resource dependence theory activities of executive changes and intra-organizational structural changes moderate information asymmetry. Communication was the major theme, while properly formed BDA questions, prospective reimbursement models, evolving BDA demands, intellectual capacity gap, and operational complexity were minor themes that influenced organizational design decisions. The practical implications emphasize communication among multidisciplinary groups and boundary-spanning organizational design strategies to moderate information asymmetry. Lastly, the positive social change implication may be the increased BDA adoption in hospital administration from the improved communication among individual actors of multidisciplinary BDA groups.

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