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The Changing Landscape of Finance in Higher Education: Bridging the Gap Through Data Analytics

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2018, Doctor of Philosophy, Case Western Reserve University, Management.
In the higher education sector, external forces are influencing funding sources, which effect both public and private schools. Institutions need to react to the “new normal” of fiscal landscape. As institutions of higher learning adapt to the changing environment, they must adopt new ways to use information more efficiently in their decision-making. Data analytics could potentially help schools recognize trends, ask what-if questions, and apply predictive models to improve their strategic capability while creating a more sustainable future with better educational services and business models. Yet in the wake of a rapidly changing environment, slow-moving organizations often find it difficult to respond to such new challenges. In the higher education sector, the assimilation to encompass business analytics into decision-making process remains a challenge. Using institutional theory and resource based theory lenses, the dissertation employs a sequential mixed methods approach involving a three-part empirical study to address the research question, how data analytics can influence institutional performance in higher education? The first qualitative study explores the use of data analytics in higher education finance. This study offers evidence of under-performance of the ERP implementation by higher education institutions and considers the effects of organizational culture, the degree of autonomy at the departmental level, and the strong reliance towards the use of various bolt-on or shadow systems to use information from the core ERP system. The second study analyzes the ERP effectiveness and the mediating effects of perceived organizational support. The third study considers the relationship between analytics investment and organizational performance and as mediated by data driven culture and data quality. This research provides empirical support showing that data quality and data-driven culture are key antecedents to use data analytics to improve organizational performance. Understanding the similarities and differences between public and private institutions has implications for the practitioner. The theoretical contribution introduces a proxy for efficiency and organizational performance in the higher education sector into the literature. These findings extend concepts in accounting information systems theories as well as within the higher education literature. Gaining insight as to what are the key levers to improve data quality and efficiencies could pave the way for a more sustainable future in higher education.
Timoth Fogarty (Committee Chair)
Lyytinen Kalle (Committee Member)
Cola Philip (Committee Chair)
Richardson Vernon (Committee Chair)
157 p.

Recommended Citations

Citations

  • Campbell, C. A. (2018). The Changing Landscape of Finance in Higher Education: Bridging the Gap Through Data Analytics [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1523021768570795

    APA Style (7th edition)

  • Campbell, Cory. The Changing Landscape of Finance in Higher Education: Bridging the Gap Through Data Analytics. 2018. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1523021768570795.

    MLA Style (8th edition)

  • Campbell, Cory. "The Changing Landscape of Finance in Higher Education: Bridging the Gap Through Data Analytics." Doctoral dissertation, Case Western Reserve University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1523021768570795

    Chicago Manual of Style (17th edition)