The state of online impulse-buying research: A literature analysis

Tommy K.H. Chan; Christy M K CHEUNG; Zach W.Y. Lee

doi:10.1016/j.im.2016.06.001

The state of online impulse-buying research: A literature analysis

Tommy K.H. Chan^*, Christy M K CHEUNG, Zach W.Y. Lee

^*Corresponding author for this work

School of Business

Research output: Contribution to journal › Journal article › peer-review

314 Citations (Scopus)

Abstract

Online impulse buying has drawn increasing scholarly attention across disciplines. However, little effort has been made to evaluate the status of research and consolidate the findings in the literature. To address this research gap, we conducted a systematic review of studies of online impulse buying, and used the Stimulus–Organism–Response (SOR) framework to identify and classify the factors that affect online impulse buying. We then built a conceptual framework to explain the interrelationships between the three key elements of online impulse buying. Finally, we discussed the future research directions and implications for research.

Original language	English
Pages (from-to)	204-217
Number of pages	14
Journal	Information and Management
Volume	54
Issue number	2
DOIs	https://doi.org/10.1016/j.im.2016.06.001
Publication status	Published - 1 Mar 2017

Scopus Subject Areas

Management Information Systems
Information Systems
Information Systems and Management

User-Defined Keywords

Electronic commerce
Literature analysis
Online impulse buying
Stimulus–Organism–Response (SOR) framework

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10.1016/j.im.2016.06.001

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title = "The state of online impulse-buying research: A literature analysis",

abstract = "Online impulse buying has drawn increasing scholarly attention across disciplines. However, little effort has been made to evaluate the status of research and consolidate the findings in the literature. To address this research gap, we conducted a systematic review of studies of online impulse buying, and used the Stimulus–Organism–Response (SOR) framework to identify and classify the factors that affect online impulse buying. We then built a conceptual framework to explain the interrelationships between the three key elements of online impulse buying. Finally, we discussed the future research directions and implications for research.",

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author = "Chan, {Tommy K.H.} and CHEUNG, {Christy M K} and Lee, {Zach W.Y.}",

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AU - CHEUNG, Christy M K

AU - Lee, Zach W.Y.

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Y1 - 2017/3/1

N2 - Online impulse buying has drawn increasing scholarly attention across disciplines. However, little effort has been made to evaluate the status of research and consolidate the findings in the literature. To address this research gap, we conducted a systematic review of studies of online impulse buying, and used the Stimulus–Organism–Response (SOR) framework to identify and classify the factors that affect online impulse buying. We then built a conceptual framework to explain the interrelationships between the three key elements of online impulse buying. Finally, we discussed the future research directions and implications for research.

AB - Online impulse buying has drawn increasing scholarly attention across disciplines. However, little effort has been made to evaluate the status of research and consolidate the findings in the literature. To address this research gap, we conducted a systematic review of studies of online impulse buying, and used the Stimulus–Organism–Response (SOR) framework to identify and classify the factors that affect online impulse buying. We then built a conceptual framework to explain the interrelationships between the three key elements of online impulse buying. Finally, we discussed the future research directions and implications for research.

KW - Electronic commerce

KW - Literature analysis

KW - Online impulse buying

KW - Stimulus–Organism–Response (SOR) framework

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DO - 10.1016/j.im.2016.06.001

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SP - 204

EP - 217

JO - Information and Management

JF - Information and Management

IS - 2

ER -

The state of online impulse-buying research: A literature analysis

Abstract

Scopus Subject Areas

User-Defined Keywords

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