[HTML][HTML] How can we manage biases in artificial intelligence systems–A systematic literature review

PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
Artificial intelligence is similar to human intelligence, and robots in organisations always
perform human tasks. However, AI encounters a variety of biases during its operational …

[HTML][HTML] Past, present, and future of virtual tourism-a literature review

S Verma, L Warrier, B Bolia, S Mehta - International Journal of Information …, 2022 - Elsevier
Humanizing the tourism experience with virtual and augmented reality has gained traction,
but fragmented literature delimits the holistic view. Present study bridges this knowledge gap …

[HTML][HTML] Unravelling the techno-functional building blocks of metaverse ecosystems–A review and research agenda

AK Kar, PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
The metaverse as a hyper-connected digital cosmos, holds great potential for reshaping the
future of business and consumer interactions in a world where different virtual realities blend …

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

LV Herm, K Heinrich, J Wanner, C Janiesch - International Journal of …, 2023 - Elsevier
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

[HTML][HTML] Deep learning in business analytics: A clash of expectations and reality

M Schmitt - International Journal of Information Management Data …, 2023 - Elsevier
Our fast-paced digital economy shaped by global competition requires increased data-
driven decision-making based on artificial intelligence (AI) and machine learning (ML). The …

[HTML][HTML] Big data analytics and sustainable tourism: A comprehensive review and network based analysis for potential future research

R Agrawal, VA Wankhede, A Kumar, S Luthra… - International Journal of …, 2022 - Elsevier
Abstract The 2030 agenda for Sustainable Development is transforming the world.
Sustainable tourism options are the forwarding steps for achieving that agenda by providing …

[HTML][HTML] Growth of digital brand name through customer satisfaction with big data analytics in the hospitality sector after the COVID-19 crisis

DP Sakas, DP Reklitis, MC Terzi, N Glaveli - International Journal of …, 2023 - Elsevier
This study examines the best practices for the optimization of the corporate digital brand
name by taking into consideration customers' behavioral big data and web analytics. In the …

Machine learning models for predicting click-through rates on social media: Factors and performance analysis

M Kamal, TA Bablu - … Journal of Applied Machine Learning and …, 2022 - neuralslate.com
In today's digital landscape, social media has become an integral component of marketing
strategies, making the prediction of Click-through Rates (CTR) a critical endeavor for …

Machine learning applied to tourism: A systematic review

JCS Núñez, JA Gómez‐Pulido… - … Reviews: Data Mining …, 2024 - Wiley Online Library
The application of machine learning techniques in the field of tourism is experiencing a
remarkable growth, as they allow to propose efficient solutions to problems present in this …

Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression

S Chen, S Ke, S Han, S Gupta, U Sivarajah - Decision Support Systems, 2024 - Elsevier
The rapid rise of many e-commerce platforms for individual consumers has generated a
large amount of text-based data, and thus researchers have begun to experiment with text …