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[HTML][HTML] How can organizations leverage big data to innovate their business models? A systematic literature review
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 …
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
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 …
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 …
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
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 …
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 …
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
Over the last couple of decades, technological advancements have accelerated
exponentially, especially in the realm of online social networking networks. The artificial …
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 …
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 …
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
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 …
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
Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour,
marketing programs, and marketing strategies in industrial markets. However, algorithms …
marketing programs, and marketing strategies in industrial markets. However, algorithms …