Towards risk-aware artificial intelligence and machine learning systems: An overview

X Zhang, FTS Chan, C Yan, I Bose - Decision Support Systems, 2022 - Elsevier
The adoption of artificial intelligence (AI) and machine learning (ML) in risk-sensitive
environments is still in its infancy because it lacks a systematic framework for reasoning …

Augmenting medical diagnosis decisions? An investigation into physicians' decision-making process with artificial intelligence

E Jussupow, K Spohrer, A Heinzl… - Information Systems …, 2021 - pubsonline.informs.org
Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic
decisions. Compared with rule-based systems, however, these systems are less transparent …

[HTML][HTML] Consequences of personalized product recommendations and price promotions in online grocery shopping

H Hallikainen, M Luongo, A Dhir… - Journal of Retailing and …, 2022 - Elsevier
Shopping convenience can be turned into a competitive advantage for online grocery
retailers. Consequently, we study how personalized product recommendations …

A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce

RV Karthik, S Ganapathy - Applied Soft Computing, 2021 - Elsevier
In Electronic commerce, customer reviews play a significant role in purchase making
decision. Most of the existing recommendation systems consider the customer reviews, user …

The effects of online shopping context cues on consumers' purchase intention for cross-border E-Commerce sustainability

L Xiao, F Guo, F Yu, S Liu - Sustainability, 2019 - mdpi.com
China is currently the world's largest cross-border e-commerce purchaser and destination
country. Therefore, how to promote consumer online shopping is the most important goal for …

How do digital natives perceive and react toward online advertising? Implications for SMEs

WM Lim, S Gupta, A Aggarwal, J Paul… - Journal of Strategic …, 2021 - Taylor & Francis
Advertising was once touted as a 'big boys' marketing tool, but the advent of the Internet has
led to the emergence of online advertising, which has benefitted marketing organizations of …

[HTML][HTML] Economic recommender systems–a systematic review

A De Biasio, N Navarin, D Jannach - Electronic Commerce Research and …, 2023 - Elsevier
Many of today's online services provide personalized recommendations to their users. Such
recommendations are typically designed to serve certain user needs, eg, to quickly find …

The sweet escape to metaverse: Exploring escapism, anxiety, and virtual place attachment

D Pal, C Arpnikanondt - Computers in Human Behavior, 2024 - Elsevier
The metaverse is an emerging area of research and has a lot of potential in providing
individuals with an alternate place of inhabitation. The importance of metaverse escapism …

Identifying and benchmarking key features for cyber intrusion detection: an ensemble approach

A Binbusayyis, T Vaiyapuri - IEEE Access, 2019 - ieeexplore.ieee.org
In today's interconnected era, intrusion detection system (IDS) has the potential to be the
frontier of defense against cyberattacks and plays an essential role in achieving security of …

Understanding AI-based customer service resistance: A perspective of defective AI features and tri-dimensional distrusting beliefs

B Yang, Y Sun, XL Shen - Information Processing & Management, 2023 - Elsevier
Communicating with customers through AI-based chatbots in customer service (AISC) has
become increasingly popular for many companies. However, in actual service encounters …