[HTML][HTML] How can organizations leverage big data to innovate their business models? A systematic literature review

C Acciarini, F Cappa, P Boccardelli, R Oriani - Technovation, 2023 - Elsevier
The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

[HTML][HTML] Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview

S Kumar, S Sahoo, WM Lim, S Kraus… - … Forecasting and Social …, 2022 - Elsevier
To make scientific inferences about business phenomena, it may not be sufficient to
consider the real-world context of the business environment as statistically symmetrical (eg …

An optimized model using LSTM network for demand forecasting

H Abbasimehr, M Shabani, M Yousefi - Computers & industrial engineering, 2020 - Elsevier
In a business environment with strict competition among firms, accurate demand forecasting
is not straightforward. In this paper, a forecasting method is proposed, which has a strong …

Applications of artificial intelligence in inventory management: A systematic review of the literature

Ö Albayrak Ünal, B Erkayman, B Usanmaz - Archives of Computational …, 2023 - Springer
Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …

COVID‐19 pandemic in the new era of big data analytics: Methodological innovations and future research directions

J Sheng, J Amankwah‐Amoah… - British Journal of …, 2021 - Wiley Online Library
Although scholars in management recognize the value of harnessing big data to
understand, predict and respond to future events, there remains little or very limited overview …

Investigating the impact of AI-powered technologies on Instagrammers' purchase decisions in digitalization era–A study of the fashion and apparel industry

SF Yeo, CL Tan, A Kumar, KH Tan, JK Wong - … Forecasting and Social …, 2022 - Elsevier
Over the last couple of decades, technological advancements have accelerated
exponentially, especially in the realm of online social networking networks. The artificial …

Machine learning in marketing: A literature review, conceptual framework, and research agenda

EWT Ngai, Y Wu - Journal of Business Research, 2022 - Elsevier
In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system

S Chatterjee, R Chaudhuri, D Vrontis - Journal of Business Research, 2022 - Elsevier
The purpose of this study is to determine the impact of adopting a artificial intelligence-
embedded customer relationship management (CRM) system for business-to-business …

A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making

E Kauffmann, J Peral, D Gil, A Ferrández… - Industrial Marketing …, 2020 - Elsevier
User-generated content about brands is an important source of big data that can be
transformed into valuable information. A huge number of items are reviewed and rated by …

[HTML][HTML] Advancing algorithmic bias management capabilities in AI-driven marketing analytics research

S Akter, S Sultana, M Mariani, SF Wamba… - Industrial Marketing …, 2023 - Elsevier
Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour,
marketing programs, and marketing strategies in industrial markets. However, algorithms …