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Exploring Factors That Influence Art...
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Tumma, Vijaya S.,
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Exploring Factors That Influence Artificial Intelligence Adoption in Banks and Credit Unions /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Exploring Factors That Influence Artificial Intelligence Adoption in Banks and Credit Unions // Vijaya S Tumma.
作者:
Tumma, Vijaya S.,
面頁冊數:
1 electronic resource (128 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
Contained By:
Dissertations Abstracts International86-06B.
標題:
Home economics. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31637719
ISBN:
9798346861195
Exploring Factors That Influence Artificial Intelligence Adoption in Banks and Credit Unions /
Tumma, Vijaya S.,
Exploring Factors That Influence Artificial Intelligence Adoption in Banks and Credit Unions /
Vijaya S Tumma. - 1 electronic resource (128 pages)
Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
The importance of Artificial Intelligence (AI) is exploding in the banking sector, fueled by enhanced productivity, improved efficiencies, and personalized services to the consumers. For credit unions, the adoption of AI technologies presents opportunities and challenges. This research explores the factors influencing AI adoption in the banking sector through the lens of Unified Theory of Acceptance and Use of Technology (UTAUT) framework. This study aims to explore the influence of key aspects of UTAUT model, Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) on the intention of AI adoption among credit unions, banks, and their consumers. This research combines qualitative insights gathered from semi-structured interviews with leaders in the banking sector and quantitative data from consumer surveys.
English
ISBN: 9798346861195Subjects--Topical Terms:
551902
Home economics.
Subjects--Index Terms:
Financial institutions
Exploring Factors That Influence Artificial Intelligence Adoption in Banks and Credit Unions /
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The importance of Artificial Intelligence (AI) is exploding in the banking sector, fueled by enhanced productivity, improved efficiencies, and personalized services to the consumers. For credit unions, the adoption of AI technologies presents opportunities and challenges. This research explores the factors influencing AI adoption in the banking sector through the lens of Unified Theory of Acceptance and Use of Technology (UTAUT) framework. This study aims to explore the influence of key aspects of UTAUT model, Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) on the intention of AI adoption among credit unions, banks, and their consumers. This research combines qualitative insights gathered from semi-structured interviews with leaders in the banking sector and quantitative data from consumer surveys.
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