AI in Consumer Behavior

Gkikas, Dimitris C.; Theodoridis, Prokopis K.

doi:10.1007/978-3-030-80571-5_10

Cited by 12 publications

(7 citation statements)

References 30 publications

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“…Natural language processing, machine learning, and predictive analytics will make chatbots and virtual assistants more human-like and comprehend preferences. AI systems can improve customer experience by monitoring facial expressions and tone of voice to recognize and respond to emotions (Gkikas & Theodoridis, 2022). AI-powered customization in retail establishments could also rise.…”

Section: Discussionmentioning

confidence: 99%

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The Role of AI-Enhanced Personalization in Customer Experiences

Bhuiyan

2024

JCSTS

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The purpose of this research study is to investigate how AI-driven-personalization chatbots and virtual assistants might improve customer experiences across different types of businesses. It investigates if artificial intelligence is able to cater goods, services, and marketing to the preferences of customers. The areas of retail and hospitality, together with finance, are the primary emphasis of this article. This study investigates the ways in which artificial intelligence can improve retail virtual shopping assistants and product recommendations. This article investigates the use of artificial intelligence (AI) chatbots in the hotel industry to give individualized booking experiences and recommendations. This study investigates the ways in which artificial intelligence-driven communications and individualized financial advice can improve customer service. Through the use of case studies and data analysis, the author of this study analyzes the practical uses of AI-powered personalization as well as the benefits to the customer experience. The findings are an attempt to illustrate that AI is capable of personalizing their experiences and engaging customers across a variety of industries.

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Section: Discussionmentioning

confidence: 99%

“…AI accelerates this change. Companies can acquire detailed customer insights by processing massive amounts of data, spotting trends, and making real-time choices (Gkikas & Theodoridis, 2022).…”

Section: Introductionmentioning

confidence: 99%

The Role of AI-Enhanced Personalization in Customer Experiences

Bhuiyan

2024

JCSTS

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“…Blockchain technology offers several benefits for oversight of zakat systems. 19 The decentralized immutable ledger enhances transparency in fund flows, allowing donors and regulators to trace transactions. 20 Smart contracts can encode rules for zakat calculation and distribution, automating transfers based on verified recipient eligibility.…”

Section: Blockchain Ai Big Data Analytics and Mobile Platformsmentioning

confidence: 99%

“…21 This boosts accountability and reduces reliance on intermediaries. Artificial intelligence tools can optimize 19 Mahri, A Jajang W, Ripan Hermawan, and Ipan Ahmad. 2023.…”

Section: Blockchain Ai Big Data Analytics and Mobile Platformsmentioning

confidence: 99%

Revamping Tradition With Tech: Guiding Innovation in Zakat for Social Good

Wahyudi,

Amalia,

Rini

2024

alrisalah

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As a pillar of Islam, zakat holds profound meaning and socioeconomic significance. However, oversight deficiencies have constrained its capacity for poverty alleviation. This paper explores emerging technologies - including blockchain, artificial intelligence, and mobile platforms - to strengthen zakat management. Through a qualitative literature review, we examine the digital transformation of zakat systems. We argue for cautious technology adoption to enhance transparency, efficiency, and inclusivity while aligning with Islamic ethics. Guiding principles grounded in maqasid al-shariah are offered, emphasizing human discretion and oversight. While risks around exclusion, security, and algorithmic bias necessitate vigilance, thoughtfully implemented technology can optimize zakat distribution and amplify impact. By leveraging innovation to uphold foundational values, zakat can fulfil its noble obligations of uplifting communities and promoting social justice.

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“…Retail businesses use AI for personalized marketing, inventory management, and customer service. AI algorithms analyze customer data to provide personalized product recommendations, enhancing the shopping experience and boosting sales (Gkikas and Theodoridis, 2022). In inventory management, AI helps optimize stock levels based on demand forecasts, reducing costs and improving efficiency.…”

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confidence: 99%

Leveraging AI for sustainable accounting: Developing models for environmental impact assessment and reporting

Beatrice Oyinkansola Adelakun,

Bernard Owusu Antwi,

Afari Ntiakoh

et al. 2024

Financ. account. res. j.

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The integration of Artificial Intelligence (AI) in sustainable accounting represents a transformative approach to enhancing the accuracy, efficiency, and comprehensiveness of environmental impact assessment and reporting. This paper explores the development of AI-driven models aimed at advancing sustainable accounting practices, focusing on environmental impact assessment and transparent reporting. AI technologies, particularly machine learning (ML) and natural language processing (NLP), play a pivotal role in automating and refining data collection, analysis, and reporting processes. These technologies enable the processing of vast amounts of heterogeneous data from multiple sources, including IoT sensors, satellite imagery, and corporate disclosures. By leveraging ML algorithms, organizations can identify patterns, predict trends, and assess the environmental impact of their operations with unprecedented precision. One of the key advantages of AI in sustainable accounting is its ability to enhance data accuracy and reliability. Traditional methods often suffer from manual errors and inconsistencies. AI models, however, can continuously learn and adapt, improving their accuracy over time. For instance, predictive analytics can forecast future environmental impacts based on historical data, allowing companies to implement proactive measures to mitigate adverse effects. Furthermore, AI facilitates real-time monitoring and reporting. IoT devices equipped with environmental sensors can stream data to AI systems, which process and analyze the information instantaneously. This capability is crucial for timely reporting and compliance with environmental regulations. Real-time data analytics also empower organizations to make informed decisions swiftly, optimizing their sustainability strategies and reducing their ecological footprint. Another significant contribution of AI is in enhancing transparency and accountability in environmental reporting. NLP algorithms can analyze and interpret regulatory texts, corporate reports, and public records, ensuring that organizations adhere to sustainability standards and guidelines. Additionally, AI can automate the generation of comprehensive and comprehensible sustainability reports, making them accessible to a broader audience, including stakeholders and regulators. Developing robust AI models for sustainable accounting involves several critical steps. Initially, data preprocessing is essential to clean and harmonize diverse datasets, ensuring quality input for AI algorithms. Next, model training and validation are conducted using historical and real-time data to refine predictive capabilities. Continuous model evaluation and adjustment are necessary to maintain accuracy and relevance in dynamic environmental contexts. Collaboration between AI experts, environmental scientists, and accounting professionals is paramount in this development process. Interdisciplinary teams can ensure that AI models are not only technically sound but also aligned with environmental science principles and accounting standards. This collaboration also fosters innovation, leading to the development of more sophisticated tools for environmental impact assessment and reporting. The adoption of AI-driven sustainable accounting models offers numerous benefits, including enhanced efficiency, accuracy, and compliance. However, challenges such as data privacy, algorithmic transparency, and the need for substantial initial investments must be addressed. Future research should focus on overcoming these obstacles and exploring the potential of emerging AI technologies, such as deep learning and blockchain, to further revolutionize sustainable accounting practices. AI holds significant promise for transforming sustainable accounting by improving environmental impact assessment and reporting. Through advanced data analytics, real-time monitoring, and enhanced transparency, AI can help organizations achieve their sustainability goals, ensuring a more sustainable future. The continuous development and refinement of AI models, supported by interdisciplinary collaboration, are essential for realizing these benefits and addressing the complex challenges of environmental sustainability. Keywords: Sustainable Accounting, Environmental Impact Assessment, AI, Developing Models, Reporting.

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AI in Consumer Behavior

Cited by 12 publications

References 30 publications

The Role of AI-Enhanced Personalization in Customer Experiences

The Role of AI-Enhanced Personalization in Customer Experiences

Revamping Tradition With Tech: Guiding Innovation in Zakat for Social Good

Leveraging AI for sustainable accounting: Developing models for environmental impact assessment and reporting

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