Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction

H Wang, R Yan, S Wang, L Zhen - Transportation Research Part C …, 2023 - Elsevier
Ship fuel consumption is a major component of maritime transport costs and most of its
emissions are harmful to the environment. Hence, it is essential to build an accurate ship …

Location-based advertising: a systematic review, integrative framework, and future research Agenda

R Aggarwal, S Mittal, S Dhingra - Journal of Location Based …, 2024 - Taylor & Francis
The proliferation of the Smartphone industry and GPS technologies have made it easier and
more precise to track accurate location of customers, allowing marketers to target them in …

Mobile advertisement campaigns for boosting in‐store visits: A design framework and case study

K Keshanian, N Ramasubbu… - Production and …, 2023 - journals.sagepub.com
Brick‐and‐mortar retailers seek higher foot traffic in their stores to improve their sales
opportunities. In this quest, location‐based advertising on mobile devices has emerged as …

The value of data, machine learning, and deep learning in restaurant demand forecasting: Insights and lessons learned from a large restaurant chain

B Chae, C Sheu, EO Park - Decision Support Systems, 2024 - Elsevier
The restaurant industry has been slow to adopt analytics for the supply chain, operations,
and demand forecasting, with limited research on this sector. The COVID-19 pandemic's …

Explainable AI for enhanced decision-making

K Coussement, MZ Abedin, M Kraus… - Decision Support …, 2024 - Elsevier
This paper contextualizes explainable artificial intelligence (AI) for enhanced decision-
making and serves as an editorial for the corresponding special issue. AI is defined as the …

The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents

V Yoganathan, VS Osburg - Journal of Business Research, 2024 - Elsevier
Given the interest in imbuing voice-based conversational agents with humanlike features,
understanding how this affects user satisfaction is ultimately important for business …

[HTML][HTML] Cross-border acquisition completion by emerging market MNEs revisited: Inductive evidence from a machine learning analysis

J Zhang, A van Witteloostuijn, C Zhou, S Zhou - Journal of World Business, 2024 - Elsevier
Existing empirical studies of cross-border acquisition completion by emerging market
multinational enterprises remain highly contextual, yielding inconsistent evidence regarding …

Artificial intelligence powered predictions: enhancing supply chain sustainability

RF Saen, F Yousefi, M Azadi - Annals of Operations Research, 2024 - Springer
Emerging advanced digital technologies, such as Blockchain and artificial intelligence (AI),
have had a substantial impact on performance improvement and operations optimization in …

TOURISM DEMAND FORECASTING: AN INTERPRETABLE DEEP LEARNING MODEL

L Huang, W Zheng, Z Deng - Tourism Analysis, 2024 - ingentaconnect.com
With emerging learning techniques and large datasets, the advantages of applying deep
learning models in the field of tourism demand forecasting have been increasingly …

Leveraging AI technologies in retail in a resilient economy: Theory and innovative practices

A Natorina - Journal of Management and Training for Industries, 2024 - search.informit.org
Artificial Intelligence (AI) technologies have a profoundly significant impact on businesses,
particularly on retail in a resilient economy. Drawing from existing research and determined …