A framework for AI-powered service innovation capability: Review and agenda for future research

S Akter, MA Hossain, S Sajib, S Sultana, M Rahman… - Technovation, 2023 - Elsevier
Artificial intelligence (AI)-powered service innovation (eg, OpenAI's ChatGPT, Google's Bard
and Microsoft's Sydney) has become one of the most significant determinants of firms' …

Big data and analytics in hospitality and tourism: a systematic literature review

M Mariani, R Baggio - International Journal of Contemporary …, 2022 - emerald.com
Purpose The purpose of this work is to survey the body of research revolving around big
data (BD) and analytics in hospitality and tourism, by detecting macro topical areas …

Smart hospitality: from smart cities and smart tourism towards agile business ecosystems in networked destinations

D Buhalis, P O'Connor, R Leung - International Journal of …, 2023 - emerald.com
Purpose Building on recent smart hospitality systematic reviews and extensive literature
analyses, this paper aims to explore recent developments, themes and issues within smart …

Machine learning and deep learning

C Janiesch, P Zschech, K Heinrich - Electronic Markets, 2021 - Springer
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

Unravelling the impact of generative artificial intelligence (GAI) in industrial applications: A review of scientific and grey literature

AK Kar, PS Varsha, S Rajan - Global Journal of Flexible Systems …, 2023 - Springer
The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …

[HTML][HTML] Algorithmic bias in machine learning-based marketing models

S Akter, YK Dwivedi, S Sajib, K Biswas… - Journal of Business …, 2022 - Elsevier
This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …

Applications of disruptive digital technologies in hotel industry: A systematic review

M Iranmanesh, M Ghobakhloo, M Nilashi… - International Journal of …, 2022 - Elsevier
This study aims to review and synthesise the contributions of disruptive digital technologies
to hotel performance. A sample of 3,914 articles was extracted from the Web of Science and …

A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism

H Lv, S Shi, D Gursoy - Journal of Hospitality Marketing & …, 2022 - Taylor & Francis
In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …

Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews

J Joung, H Kim - International Journal of Information Management, 2023 - Elsevier
For new product development, previous segmentation methods based on demographic,
psychographic, and purchase behavior information cannot identify a group of customers with …

Analysis of customers' satisfaction with baby products: The moderating role of brand image

M Nilashi, RA Abumalloh, S Samad, M Alrizq… - Journal of Retailing and …, 2023 - Elsevier
The previous experience of customers is assessed by textual reviews and ratings to reflect
their levels of satisfaction with the service or product. Online reviews and ratings have …