A survey on the explainability of supervised machine learning

N Burkart, MF Huber - Journal of Artificial Intelligence Research, 2021 - jair.org
Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …

Domain-specific knowledge graphs: A survey

B Abu-Salih - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

[HTML][HTML] Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research

AKMB Haque, AKMN Islam, P Mikalef - Technological Forecasting and …, 2023 - Elsevier
The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns
regarding explainability. Recent studies have discussed the emerging demand for …

[HTML][HTML] When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type

Y Ruan, J Mezei - Journal of Retailing and Consumer Services, 2022 - Elsevier
The increasing adoption of AI chatbots in online shopping assistance, as a complement or
substitute for human frontline employees (HFLEs), leads to the question whether HFLEs …

The role of business capabilities in supporting organization agility and performance during the COVID-19 pandemic: An empirical study in Indonesia

AS Wanasida, I Bernarto, N Sudibjo… - The Journal of Asian …, 2021 - koreascience.kr
This study aims to analyze the important role of business analytics capability, information
quality, and innovation capability in influencing organization agility and organization …

Developing a digital twin at building and city levels: Case study of West Cambridge campus

Q Lu, AK Parlikad, P Woodall… - … of Management in …, 2020 - ascelibrary.org
A digital twin (DT) refers to a digital replica of physical assets, processes, and systems. DTs
integrate artificial intelligence, machine learning, and data analytics to create living digital …

How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework

L Zhu, H Li, FK Wang, W He, Z Tian - Aslib Journal of Information …, 2020 - emerald.com
Purpose The relationship between online reviews and purchase intention has been studied
in previous research. However, there was little knowledge about the effect of information …

1 Blockchain's roles in meeting key supply chain management objectives

N Kshetri - International Journal of information management, 2018 - Elsevier
Arrival of blockchain is set to transform supply chain activities. Scholars have barely begun
to systematically assess the effects of blockchain on various organizational activities. This …

What makes you continuously use chatbot services? Evidence from chinese online travel agencies

L Li, KY Lee, E Emokpae, SB Yang - Electronic Markets, 2021 - Springer
Thanks to artificial intelligence, chatbots have been applied to many consumer-facing
applications, especially to online travel agencies (OTAs). This study aims to identify five …

Do information and service quality affect perceived privacy protection, satisfaction, and loyalty? Evidence from a Chinese O2O-based mobile shopping application

Y Kim, Q Wang, T Roh - Telematics and informatics, 2021 - Elsevier
As the mobile application market rapidly expands, the mobile shopping market is also
expected to follow suit. Further, a new form of online-to-offline (O2O) services available in …