Weight Analysis of the Factors Affecting eWOM Providing Behavior

Elvira Ismagilova; Yogesh K. Dwivedi; Nripendra P. Rana; Uthayasankar Sivarajah; Vishanth Weerakkody

doi:10.1007/978-3-030-44999-5_22

Weight Analysis of the Factors Affecting eWOM Providing Behavior

Elvira Ismagilova^*, Yogesh K. Dwivedi, Nripendra P. Rana, Uthayasankar Sivarajah, Vishanth Weerakkody

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.

Original language	English
Title of host publication	Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings
Editors	Marié Hattingh, Machdel Matthee, Hanlie Smuts, Ilias Pappas, Yogesh K. Dwivedi, Matti Mäntymäki
Publisher	Springer
Pages	266-275
Number of pages	10
ISBN (Print)	9783030449988
DOIs	https://doi.org/10.1007/978-3-030-44999-5_22
State	Published - 2020
Externally published	Yes
Event	19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020 - Skukuza, South Africa Duration: 6 Apr 2020 → 8 Apr 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12066 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020
Country/Territory	South Africa
City	Skukuza
Period	6/04/20 → 8/04/20

Bibliographical note

Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.

Keywords

eWOM providing behaviour
eWOM, weight analysis
Literature review

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-44999-5_22

Cite this

Ismagilova, E., Dwivedi, Y. K., Rana, N. P., Sivarajah, U., & Weerakkody, V. (2020). Weight Analysis of the Factors Affecting eWOM Providing Behavior. In M. Hattingh, M. Matthee, H. Smuts, I. Pappas, Y. K. Dwivedi, & M. Mäntymäki (Eds.), Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings (pp. 266-275). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12066 LNCS). Springer. https://doi.org/10.1007/978-3-030-44999-5_22

Ismagilova, Elvira ; Dwivedi, Yogesh K. ; Rana, Nripendra P. et al. / Weight Analysis of the Factors Affecting eWOM Providing Behavior. Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings. editor / Marié Hattingh ; Machdel Matthee ; Hanlie Smuts ; Ilias Pappas ; Yogesh K. Dwivedi ; Matti Mäntymäki. Springer, 2020. pp. 266-275 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Weight Analysis of the Factors Affecting eWOM Providing Behavior",

abstract = "Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.",

keywords = "eWOM providing behaviour, eWOM, weight analysis, Literature review",

author = "Elvira Ismagilova and Dwivedi, {Yogesh K.} and Rana, {Nripendra P.} and Uthayasankar Sivarajah and Vishanth Weerakkody",

note = "Publisher Copyright: {\textcopyright} 2020, IFIP International Federation for Information Processing.; 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020 ; Conference date: 06-04-2020 Through 08-04-2020",

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doi = "10.1007/978-3-030-44999-5_22",

language = "English",

isbn = "9783030449988",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings",

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Ismagilova, E, Dwivedi, YK, Rana, NP, Sivarajah, U & Weerakkody, V 2020, Weight Analysis of the Factors Affecting eWOM Providing Behavior. in M Hattingh, M Matthee, H Smuts, I Pappas, YK Dwivedi & M Mäntymäki (eds), Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12066 LNCS, Springer, pp. 266-275, 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Skukuza, South Africa, 6/04/20. https://doi.org/10.1007/978-3-030-44999-5_22

Weight Analysis of the Factors Affecting eWOM Providing Behavior. / Ismagilova, Elvira; Dwivedi, Yogesh K.; Rana, Nripendra P. et al.
Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings. ed. / Marié Hattingh; Machdel Matthee; Hanlie Smuts; Ilias Pappas; Yogesh K. Dwivedi; Matti Mäntymäki. Springer, 2020. p. 266-275 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12066 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Weight Analysis of the Factors Affecting eWOM Providing Behavior

AU - Ismagilova, Elvira

AU - Dwivedi, Yogesh K.

AU - Rana, Nripendra P.

AU - Sivarajah, Uthayasankar

AU - Weerakkody, Vishanth

PY - 2020

Y1 - 2020

N2 - Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.

AB - Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.

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DO - 10.1007/978-3-030-44999-5_22

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AN - SCOPUS:85084916012

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BT - Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings

A2 - Hattingh, Marié

A2 - Matthee, Machdel

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A2 - Pappas, Ilias

A2 - Dwivedi, Yogesh K.

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PB - Springer

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ER -

Ismagilova E, Dwivedi YK, Rana NP, Sivarajah U, Weerakkody V. Weight Analysis of the Factors Affecting eWOM Providing Behavior. In Hattingh M, Matthee M, Smuts H, Pappas I, Dwivedi YK, Mäntymäki M, editors, Responsible Design, Implementation and Use of Information and Communication Technology - 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, Proceedings. Springer. 2020. p. 266-275. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-44999-5_22

Weight Analysis of the Factors Affecting eWOM Providing Behavior

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this