Bayesian Parameter Estimation in Green Business Process Management: A Case Study in Online-Advertising

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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Companies take their responsibilities for a sustainable planet more and more seriously. For online-retail businesses a significant share of all C02 emissions is generated by delivering goods to their clients. Now various companies are implementing a greener logistic chain into their business processes. What is a central question for these performance driven companies in this context is whether it pays to invest in additional costs for carbon neutral delivery and if the customers appreciate these steps and prefer retailers that behave in this manner. We develop and perform a non reactive A/B-test that enables us to evaluate the influence of sustainability information on the customers decision to buy a product by clicking on an ad on a search engine results page (SERP). We analyze campaign performance data generated from a European e-commerce retailer, apply a Bayesian parameter estimation to compare the two groups, and demonstrate the advantages of the given Bayesian approach in comparison to the application of Null Hypothesis Significance Testing (NHST).

Original languageEnglish
Title of host publicationINFORMATIK 2013 - Informatik angepasst an Mensch, Organisation und Umwelt
EditorsMatthias Hornbach
Number of pages12
Place of PublicationBonn
PublisherGesellschaft für Informatik e.V.
Publication date2013
Pages852-863
ISBN (print)978-3-88579-614-5
ISBN (electronic)978-3-88579-614-5
Publication statusPublished - 2013
Event43. Annual Meeting of the German Informatics Society (GI) - Informatics 2013: Computer Science Adapting to Individuals, Organizations and Environment - Universität Koblenz-Landau, Campus Koblenz Fachbereich Informatik, Koblenz, Germany
Duration: 16.09.201320.09.2013
Conference number: 43
https://gi.de/fileadmin/GI/Hauptseite/Ueber_uns/Historie/Programmheft-INFORMATIK2013.pdf

Bibliographical note

Publisher Copyright:
© 2013 Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI).

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