Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda

Douglas Cirqueira, Markus Hofer, Dietmar Nedbal, Markus Helfert, Marija Bezbradica

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

14 Zitate (Scopus)

Abstract

Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abundance of big data and possible tools to analyze them, a systematic review of the literature is missing. Therefore, this paper presents a systematic literature review of recent research dealing with customer purchase prediction in the E-commerce context. The main contributions are a novel analytical framework and a research agenda in the field. The framework reveals three main tasks in this review, namely, the prediction of customer intents, buying sessions, and purchase decisions. Those are followed by their employed predictive methodologies and are analyzed from three perspectives. Finally, the research agenda provides major existing issues for further research in the field of purchase behavior prediction online.
OriginalspracheEnglisch
TitelNew Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers
Redakteure/-innenMichelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew Ras
Herausgeber (Verlag)Springer
Seiten119-136
Seitenumfang18
ISBN (Print)9783030488604
DOIs
PublikationsstatusVeröffentlicht - 2020
Veranstaltung8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2019 - Würzburg, Deutschland
Dauer: 16 Sep. 201916 Sep. 2019

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band11948 LNAI
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Workshop

Workshop8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2019
Land/GebietDeutschland
OrtWürzburg
Zeitraum16.09.201916.09.2019

Schlagwörter

  • Behavior analytics
  • Consumer behavior
  • Data mining
  • Digital retail
  • E-commerce
  • Machine learning
  • Purchase prediction

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