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Big Data Analytics : = Adoption Readiness of Small and Midsize Banks.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Big Data Analytics :/
Reminder of title:	Adoption Readiness of Small and Midsize Banks.
Author:	Abankwa, Kevin.
Description:	1 online resource (221 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-10, Section: B.
Contained By:	Dissertations Abstracts International84-10B.
Subject:	Information technology. -
Online resource:	click for full text (PQDT)
ISBN:	9798379436964

Big Data Analytics : = Adoption Readiness of Small and Midsize Banks.
Abankwa, Kevin.

Big Data Analytics :Adoption Readiness of Small and Midsize Banks. - 1 online resource (221 pages)

Source: Dissertations Abstracts International, Volume: 84-10, Section: B.

Thesis (D.B.A.)--Grand Canyon University, 2023.

Includes bibliographical references

The purpose of this quantitative, causal-comparative study was to determine to what degree there is a difference between small and midsize banks, and their big data analytics (BDA) adoption readiness level for each enabler (data, enterprise, leadership, targets, technology, and analysts). Roger's diffusion of innovation theory, and Teece, Pisano and Shuen dynamic capability theory provided the theoretical framework. The respondents' data were from information technology (IT) managers who work fulltime for a small or midsize bank in the United States. A two-tailed independent t-test showed to what degree there is a statistical difference between small and midsize banks, and their BDA adoption readiness mean scores for each enabler. Descriptive statistics included demographics, and the mean and standard deviation of BDA adoption readiness score for each enabler. The overall BDA adoption readiness score was statistically significant with a mean and standard deviation of 4.2(0.4) and 4.6(0.33) for small and midsize banks respectively. Where t(128) = -5.617, p = 1.15x10-7. There was statistical significant difference between small and midsize bank BDA adoption readiness scores for each of the six enablers. The findings revealed that midsize banks showed readiness in adopting BDA for decision making than small size banks. This study results also showed that the leadership enabler had the lowest BDA adoption readiness score of 4.16 and 4.50 for small and midsize banks respectively. The data enabler had the highest BDA adoption readiness score of 4.26 and 4.62 for small and midsize banks respectively.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379436964Subjects--Topical Terms:

559429
Information technology.
Subjects--Index Terms:

Big data adoptionIndex Terms--Genre/Form:

554714
Electronic books.

Big Data Analytics : = Adoption Readiness of Small and Midsize Banks.
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