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Data-driven manufacturer-retailer collaboration under competition
(Taylor & Francis, 2019-03-16)
This research employs game theoretic models to investigate how and when data-driven collaborations between manufacturers and retailers are beneficial. In the models, two symmetric retailers each offer two products from two ...
Composing offer sets to maximize expected payoffs
(Digital Commons, 2016)
Firms are increasingly using clickstream and transactional data to tailor product offerings to visitors at their site. Ecommerce websites have the opportunity, at each interaction, to offer multiple items (referred to as ...
Big data–enabled sign prediction for Borsa Istanbul intraday equity prices
(Elsevier, 2023-12)
This paper employs a big data source, the Borsa Istanbul's “data analytics” information, to predict 5-min up, down, and steady signs drawn from closing price changes. Seven machine learning algorithms are compared with ...
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