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image of Hofstede’s Cultural Dimension Driven Artificial Narrow Intelligence iDFIS for Industry 5.0 Empowered Digital Society
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Abstract

Background

The fields which are considered to be most primary adopters of AI are financial services, banking and insurance sectors. The implementations of AI technology patent are mostly in the fields of investments, securities, consumer relationships, risk management, market analysis and compliance. AI of today is a collection of lots of algorithms and techniques that are good for variety of applications. Another variant of AI patent that is Artificial Narrow Intelligence (ANI) can perform task which is specific or can perform narrow range of task.

Objective

ANI models are intelligent enough to perform well define task within a limited domain.

ANI model operates within the well-defined parameters. The current study aims to discuss the customers view on adoption of an ANI enabled autonomous intelligent digital financial inclusion system (iDFIS) patent.

Methodology

Total 681 responses were collected from different state of India. The result shows that the factor like convenience, performance efficiency, security, personalization, effort efficiency and social influence factor had a significant positive relationship with the attitude to adopt an autonomous iDFIS system. The three cultural dimension of Hofstede’s theory power distance index, collectivism and uncertainty acceptance also taken as a moderator. The effect of moderators also seen in the different relationships.

Results

The finding of the study will be worthy to develop a strategic decision making in finance sector. The goal of finance sector is also focus on new AI innovative technologies to improve overall growth related to all aspect of finance sector specially in the field of customer service.

Conclusion

The study proposed the direct hypotheses to analyze the adoption of an autonomous iDFIS system among customers.

© 2024 The Author(s). Published by Bentham Science Publishers
© 2024 The Author(s). Published by Bentham Science Publishers. This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode.
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2024-12-19
2025-01-15

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Hofstede’s Cultural Dimension Driven Artificial Narrow Intelligence iDFIS for Industry 5.0 Empowered Digital Society
Bentham Science Publishers ; https://doi.org/10.2174/0118722121334543241001050846
/content/journals/eng/10.2174/0118722121334543241001050846
/content/journals/eng/10.2174/0118722121334543241001050846
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  • Article Type:     Research Article
Keywords: machine learning (ML) ; Industry 5.0 ; intelligent digital financial inclusion(iDFIS) ; finance ; Hofstede’s cultural dimension ; Artificial Narrow Intelligence (ANI)

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