AI in marketing, consumer research and psychology: A systematic literature review and research agenda

MM Mariani, R Perez‐Vega, J Wirtz - Psychology & Marketing, 2022 - Wiley Online Library
This study is the first to provide an integrated view on the body of knowledge of artificial
intelligence (AI) published in the marketing, consumer research, and psychology literature …

Business intelligence and analytics (BIA) usage in the banking industry sector: an application of the TOE framework

A Bany Mohammad, M Al-Okaily, M Al-Majali… - Journal of Open …, 2022 - mdpi.com
This study aims to examine the factors that influence business intelligence and analytics
(BIA) usage in the banking sector. Based on a comprehensive literature review, a theoretical …

[HTML][HTML] A systematic literature review of supply chain decision making supported by the Internet of Things and Big Data Analytics

M Koot, MRK Mes, ME Iacob - Computers & industrial engineering, 2021 - Elsevier
The willingness to invest in Internet of Things (IoT) and Big Data Analytics (BDA) seems not
to depend on supply nor demand of technological innovations. The required sensing and …

Big data monetization throughout Big Data Value Chain: a comprehensive review

AZ Faroukhi, I El Alaoui, Y Gahi, A Amine - Journal of Big Data, 2020 - Springer
Value Chain has been considered as a key model for managing efficiently value creation
processes within organizations. However, with the digitization of the end-to-end processes …

[图书][B] Electronic commerce 2018: a managerial and social networks perspective

E Turban, J Outland, D King, JK Lee, TP Liang… - 2018 - Springer
This new Edition of Electronic Commerce is a complete update of the leading graduate
level/advanced undergraduate level textbook on the subject. Electronic commerce (EC) …

Business intelligence and analytics: From big data to big impact

H Chen, RHL Chiang, VC Storey - MIS quarterly, 2012 - JSTOR
Business intelligence and analytics (BI&A) has emerged as an important area of study for
both practitioners and researchers, reflecting the magnitude and impact of data-related …

Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS)

S Ali, B Khorrami, M Jehanzaib, A Tariq, M Ajmal… - Remote Sensing, 2023 - mdpi.com
Climate change may cause severe hydrological droughts, leading to water shortages which
will require to be assessed using high-resolution data. Gravity Recovery and Climate …

[图书][B] Management information systems: Managing the digital firm

KC Laudon, JP Laudon - 2004 - books.google.com
Information systems knowledge is essential for creating competitive firms, managing global
corporations, and providing useful products and services to customers. This book introduces …

Modeling wine preferences by data mining from physicochemical properties

P Cortez, A Cerdeira, F Almeida, T Matos… - Decision support systems, 2009 - Elsevier
We propose a data mining approach to predict human wine taste preferences that is based
on easily available analytical tests at the certification step. A large dataset (when compared …

Toward better understanding and use of business intelligence in organizations

CM Olszak - Information systems management, 2016 - Taylor & Francis
This article provides valuable information on the chances and the possibilities of Business
Intelligence applying in organizations. Three theories—the Resource-Based View, Maturity …