Artificial Intelligence Methods: Toward a New Decision Making Tool

Lotfi, Ismail; Bouhadi, Abdelhamid El

doi:10.1080/08839514.2021.1992141

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…(Bouhadi, 2022) [25] The paper studies how artificial intelligence methods can be used to enhance the decision making process. The authors have made comparison between traditional models and advance artificial intelligence algorithms.…”

Section: Review Of Literaturementioning

confidence: 99%

Assessing the customer adoption and perceptions for AI-driven sustainable initiatives in Indian banking sector

Dharmadhikari

2024

Environ. Soc. Psychol.

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It is said, “Technology is a weapon and there is no escape from technology.” Many businesses are getting growth and expansion because of the usage of technology. Banking sector is one of them. It is must for banking sector to exploit the available opportunities by using technologies to penetrate the urban as well as rural areas. Usage of artificial intelligence (AI) based tools products and services is contemporary developments in banking. Banks are achieving accelerated growth and expansion. AI applications can fetch the financially left out individuals into formal and structured financial services segment utilizing their exclusive characteristics such as speed, security, cost-effectiveness and customization. Transition in banking sector is getting implemented by use of AI enabled robots, mobile banking, chatbots etc. Artificial intelligence is making banking and financial institutions powerful by utilizing the technology and redefining the way they used to operate to achieve more efficiency and growth. It is clearly observed from the available literature that banking sector is utilizing artificial intelligence to grow and follow sustainable approach. The main objective of the present research work is to understand and acknowledge the customer’s perception related to bank powered AI tools, products and services after analyzing the data collected through survey of customers through structured questionnaire. Research work aims to understand the customer review on usage of AI tools, technology and their adoption so that future strategies related to adoption of AI for banking can be erected. Research work mainly focuses on primary data by constructing the structured questionnaire. The outcome will assist bankers to apply, modify and upgrade the artificial intelligence tools to attract the population as well as to enhance customer satisfaction. The major findings of the research are the AI tools used by the banks should be user friendly and gender neutral.

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Section: Review Of Literaturementioning

confidence: 99%

Assessing the customer adoption and perceptions for AI-driven sustainable initiatives in Indian banking sector

Dharmadhikari

2024

Environ. Soc. Psychol.

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“…This research investigates willingness to AI delegation that specifically pertains to an individual's inclination or readiness to delegate decision-making tasks to AI systems (Schneider & Leyer, 2019). It reflects the extent to which individuals are willing to transfer decisionmaking authority or rely on AI for making choices on their behalf (Lubars & Tan, 2019).…”

Section: Decision Delegation To Aimentioning

confidence: 99%

“…Trust is identified as the most significant factor in delegation preference (Lubars & Tan, 2019). Recent research indicates that delegation increases along with trust (Gur & Bjørnskov, 2017).…”

Section: The Role Of Trustmentioning

confidence: 99%

“…It has the potential to be a formidable aid in decision-making because it is capable of collecting and processing massive amounts of data at a rate that is faster than human biological brains (Hoffman, 2016). Machine learning enables AI to forecast customers' needs and actions based on massive volumes of data (Lotfi & El Bouhadi, 2022). Gradually, it is becoming possible for AI to move beyond humans in judging situations and making decisions (Schrage, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Exploring the effect of artificial intelligence intellect on consumer decision delegation: The role of trust, task objectivity, and anthropomorphism

Song,

Lin

2023

J of Consumer Behaviour

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This study examines the impact of AI intelligence levels on consumer decision delegation through three experimental studies. Study 1 manipulates AI intelligence levels (low vs. high) to establish the main effect. Study 2 explores the mediating role of trust and the moderating effect of task types (subjective vs. objective) on the relationship between AI intelligence and trust. Study 3 investigates the role of AI anthropomorphism in AI delegation. The findings reveal that increasing AI intelligence enhances consumer decision delegation for both subjective and objective consumption tasks, with trust serving as a mediating factor. However, objective tasks are more likely to be delegated to AI. Moreover, anthropomorphic appearance positively influences trust but does not moderate the relationship between intelligence and trust. This research expands the literature on AI decision delegation, shedding light on the psychological processes related to AI‐powered product design, consumer perceptions, and consumption situations, while also offering practical implications.

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Levy Flight Strategy with Tasmanian Devil’s Optimization for Financial Market Forecasting and Investment Decision

Ni,

Chen,

Dong

2024

2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

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Artificial Intelligence Methods: Toward a New Decision Making Tool

Cited by 8 publications

References 7 publications

Assessing the customer adoption and perceptions for AI-driven sustainable initiatives in Indian banking sector

Assessing the customer adoption and perceptions for AI-driven sustainable initiatives in Indian banking sector

Exploring the effect of artificial intelligence intellect on consumer decision delegation: The role of trust, task objectivity, and anthropomorphism

Levy Flight Strategy with Tasmanian Devil’s Optimization for Financial Market Forecasting and Investment Decision

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