How digital marketing evolved over time: A bibliometric analysis on scopus database

M Faruk, M Rahman, S Hasan - Heliyon, 2021 - cell.com
Nowadays, a large number of customers are spending their time on social and digital media
for a variety of purposes ranging from information searching to the final purchase of …

[HTML][HTML] Applications of text mining in services management: A systematic literature review

S Kumar, AK Kar, PV Ilavarasan - International Journal of Information …, 2021 - Elsevier
The importance of text mining is increasing in services management as the access to big
data is increasing across digital platforms enabling such services. This study adopts a …

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 …

Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

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 …

[HTML][HTML] User-Generated Content behavior and digital tourism services: A SEM-neural network model for information trust in social networking sites

F Kitsios, E Mitsopoulou, E Moustaka… - International Journal of …, 2022 - Elsevier
Abstract Social media and User-Generated Content contribute to the hospitality sector.
Consumers usually post reviews, suggestions, or judgements on hotel booking websites …

[HTML][HTML] Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

YR Shrestha, V Krishna, G von Krogh - Journal of Business Research, 2021 - Elsevier
The current expansion of theory and research on artificial intelligence in management and
organization studies has revitalized the theory and research on decision-making in …

[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions

MÁ Álvarez-Carmona, R Aranda… - Journal of king Saud …, 2022 - Elsevier
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

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 …

Text mining of industry 4.0 job advertisements

M Pejic-Bach, T Bertoncel, M Meško, Ž Krstić - International journal of …, 2020 - Elsevier
Since changes in job characteristics in areas such as Industry 4.0 are rapid, fast tool for
analysis of job advertisements is needed. Current knowledge about competencies required …