Artificial intelligence in interactive marketing: a conceptual framework and research agenda

JW Peltier, AJ Dahl, JA Schibrowsky - Journal of Research in …, 2024 - emerald.com
Purpose Artificial intelligence (AI) is transforming consumers' experiences and how firms
identify, create, nurture and manage interactive marketing relationships. However, most …

[HTML][HTML] Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

PK Kopalle, M Gangwar, A Kaplan… - International Journal of …, 2022 - Elsevier
Artificial intelligence (AI) has captured substantial interest from a wide array of marketing
scholars in recent years. Our research contributes to this emerging domain by examining AI …

[HTML][HTML] Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods

B Van Giffen, D Herhausen, T Fahse - Journal of Business Research, 2022 - Elsevier
Over the last decade, the importance of machine learning increased dramatically in
business and marketing. However, when machine learning is used for decision-making, bias …

Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms

RA Abumalloh, M Nilashi, KB Ooi, GWH Tan… - Computers in …, 2024 - Elsevier
Abstract Generative Artificial Intelligence (AI) models serve as powerful tools for
organizations aiming to integrate advanced data analysis and automation into their …

A comprehensive examination of digital retailing: A text-mining review and research agenda

EB Schweiger, V Vannucci, V Mazzoli, L Grazzini… - Journal of …, 2024 - Elsevier
Digital retailing encompasses all the digital technology–enabled assets and retail activities
that a retailer can use to create, capture, communicate, and deliver value throughout the …

Random Forest for rice yield map** and prediction using Sentinel-2 data with Google Earth Engine

K Choudhary, W Shi, Y Dong, R Paringer - Advances in Space Research, 2022 - Elsevier
Accurate information on crop yield prediction is essential for farmers, governments,
scientists, and agricultural agencies to make well-informed decisions. Majority of yield …

Transformation of metrics and analytics in retailing: The way forward

V Kumar, R Venkatesan - Journal of Retailing, 2021 - Elsevier
The retail industry is undergoing tremendous changes that are driven by technology,
changing consumer tastes, economic pressures, competition, stakeholder relationships …

Boosting Sports Card Sales: Leveraging Visual Display and Machine Learning in Online Retail

Y Yang, T Lan - Journal of Retailing and Consumer Services, 2024 - Elsevier
Trading cards are a fast-growing industry. However, previous research in sports
merchandise has largely overlooked the role of cards' visual appeal in online-commerce …

Omnichannel as a consumer-based marketing strategy

I Gasparin, LA Slongo - Revista de Administração Contemporânea, 2023 - SciELO Brasil
Objective: creating omnichannel strategies requires understanding how customers use
multiple channels in their journeys. Yet the customer experience in this environment is under …

Customer purchase prediction in electronic markets from clickstream data using the Oracle meta-classifier

F Ehsani, M Hosseini - Operational Research, 2024 - Springer
Electronic commerce has brought about a fundamental change in marketing atmosphere.
Marketers strive to gain a competitive advantage by providing exciting electronic platforms to …