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Case Study 4.3

Natural Language Processing and Cost–Benefit Analysis among Retail Banks — A benchmarking and maturity modeling

37
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MLA
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~ 39–56 mins
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Psychology Telemedicine Finance
Abstract

This case study investigates “Natural Language Processing and Cost–Benefit Analysis among Retail Banks — A benchmarking and maturity modeling” using a panel regression with fixed effects. Through a institutional lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Natural Language Processing and Cost–Benefit Analysis among Retail Banks — A benchmarking and maturity modeling

ABSTRACT
Natural Language Processing and Cost–Benefit Analysis among Retail Banks — A benchmarking and maturity modeling is unpacked across themes: KPIs, security, scalability, and usability. Limitations and future research paths are noted.
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