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Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
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Piotr Sliz
Purpose: The advancements in deep learning and AI technologies have led to the development of such language models, in 2022, as OpenAI?s ChatGPT. The primary objective of this paper is to thoroughly examine the capabilities of ChatGPT within the realm of...
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Mohammad Daradkeh
Digital platform business model innovation is a rapidly evolving field, yet the literature on resource, complementary, and ecological boundaries remains limited, leaving a significant gap in our understanding of the factors that shape the success of thes...
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Tim Hoff, Florian Becker, Alireza Dadashi, Kai Wicke and Gerko Wende
Hydrogen is one of the most promising power sources for meeting the aviation sector?s long-term decarbonization goals. Although on-board hydrogen systems, namely, fuel cells, are extensively researched, the maintenance, repair and overhaul (MRO) perspect...
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Ganjar Alfian, Muhammad Qois Huzyan Octava, Farhan Mufti Hilmy, Rachma Aurya Nurhaliza, Yuris Mulya Saputra, Divi Galih Prasetyo Putri, Firma Syahrian, Norma Latif Fitriyani, Fransiskus Tatas Dwi Atmaji, Umar Farooq, Dat Tien Nguyen and Muhammad Syafrudin
Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer?customer relationship and increasing business revenue. However, it can be challenging to gather data on customer browsing activities in physical stores as compare...
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