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

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

doi:10.1007/978-3-030-48861-1_8

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/Tagungsband › Konferenzbeitrag › Begutachtung

33 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.

Originalsprache	Englisch
Titel	New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers
Redakteure/-innen	Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew Ras
Herausgeber (Verlag)	Springer
Seiten	119-136
Seitenumfang	18
ISBN (Print)	9783030488604
DOIs	https://doi.org/10.1007/978-3-030-48861-1_8
Publikationsstatus	Veröffentlicht - 2020
Veranstaltung	8th 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. 2019 → 16 Sep. 2019

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	11948 LNAI
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Workshop

Workshop	8th 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/Gebiet	Deutschland
Ort	Würzburg
Zeitraum	16.09.2019 → 16.09.2019

Schlagwörter

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

UN SDGs

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10.1007/978-3-030-48861-1_8

Andere Dateien und Links

Link zur Publikation in Scopus

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Cirqueira, D., Hofer, M., Nedbal, D., Helfert, M., & Bezbradica, M. (2020). Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda. in M. Ceci, C. Loglisci, G. Manco, E. Masciari, & Z. Ras (Hrsg.), New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers (S. 119-136). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11948 LNAI). Springer. https://doi.org/10.1007/978-3-030-48861-1_8

Cirqueira, Douglas ; Hofer, Markus ; Nedbal, Dietmar et al. / Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda. New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers. Hrsg. / Michelangelo Ceci ; Corrado Loglisci ; Giuseppe Manco ; Elio Masciari ; Zbigniew Ras. Springer, 2020. S. 119-136 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8f84abdcc47642728a9e0b71cb768ccf,

title = "Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda",

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.",

keywords = "Behavior analytics, Consumer behavior, Data mining, Digital retail, E-commerce, Machine learning, Purchase prediction, Behavior analytics, Consumer behavior, Data mining, Digital retail, E-commerce, Machine learning, Purchase prediction",

author = "Douglas Cirqueira and Markus Hofer and Dietmar Nedbal and Markus Helfert and Marija Bezbradica",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 8th 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 ; Conference date: 16-09-2019 Through 16-09-2019",

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editor = "Michelangelo Ceci and Corrado Loglisci and Giuseppe Manco and Elio Masciari and Zbigniew Ras",

booktitle = "New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers",

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Cirqueira, D, Hofer, M, Nedbal, D, Helfert, M & Bezbradica, M 2020, Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda. in M Ceci, C Loglisci, G Manco, E Masciari & Z Ras (Hrsg.), New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 11948 LNAI, Springer, S. 119-136, 8th 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, 16.09.2019. https://doi.org/10.1007/978-3-030-48861-1_8

Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda. / Cirqueira, Douglas; Hofer, Markus; Nedbal, Dietmar et al.
New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers. Hrsg. / Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco; Elio Masciari; Zbigniew Ras. Springer, 2020. S. 119-136 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11948 LNAI).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda

AU - Cirqueira, Douglas

AU - Hofer, Markus

AU - Nedbal, Dietmar

AU - Helfert, Markus

AU - Bezbradica, Marija

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Behavior analytics

KW - Consumer behavior

KW - Data mining

KW - Digital retail

KW - E-commerce

KW - Machine learning

KW - Purchase prediction

KW - Behavior analytics

KW - Consumer behavior

KW - Data mining

KW - Digital retail

KW - E-commerce

KW - Machine learning

KW - Purchase prediction

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U2 - 10.1007/978-3-030-48861-1_8

DO - 10.1007/978-3-030-48861-1_8

M3 - Conference contribution

SN - 9783030488604

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 119

EP - 136

BT - New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers

A2 - Ceci, Michelangelo

A2 - Loglisci, Corrado

A2 - Manco, Giuseppe

A2 - Masciari, Elio

A2 - Ras, Zbigniew

PB - Springer

T2 - 8th 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

Y2 - 16 September 2019 through 16 September 2019

ER -

Cirqueira D, Hofer M, Nedbal D, Helfert M, Bezbradica M. Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda. in Ceci M, Loglisci C, Manco G, Masciari E, Ras Z, Hrsg., New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers. Springer. 2020. S. 119-136. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-48861-1_8

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

Abstract

Publikationsreihe

Workshop

Schlagwörter

UN SDGs

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

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