Skip to main content
SpringerLink
Log in
Book cover

Conference on e-Business, e-Services and e-Society

I3E 2021: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society pp 495–505Cite as

The Use of Elaboration Likelihood Model in eWOM Research: Literature Review and Weight-Analysis

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12896))

Abstract

With the development of Internet and e-commerce, traditional word of mouth communications have evolved into electronic word of mouth (eWOM) communications, which significantly affect consumers in their decision-making process. Previous studies investigated how consumers process information online and how it affects consumer behaviour applying the Elaboration Likelihood Model (ELM). ELM distinguishes between two routes of information processing: central and peripheral. Existing literature has a mixed of findings regarding factors affecting information process using ELM and lacking a comprehensive review providing evaluation and a consolidated view of these factors. Thus, the aim of this research is to evaluate the use of ELM in the context of eWOM research by performing a systematic review and weight analysis of existing research findings. This will help consolidating the predictive power of the independent variables on the dependent variable, by taking into consideration the number of times a relationship has been previously examined. The model developed through weight analysis would allow eWOM practitioners to decipher more influential factors.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Tsao, W.-C., Hsieh, M.-T.: eWOM persuasiveness: do eWOM platforms and product type matter? Electron. Commer. Res. 15(4), 509–541 (2015). https://doi.org/10.1007/s10660-015-9198-z

    Article  Google Scholar 

  2. Ismagilova, E., Dwivedi, Y.K., Slade, E., Williams, M.D.: Electronic word of mouth (eWOM) in the marketing context: a state of the art analysis and future directions (2017)

    Google Scholar 

  3. King, R.A., Racherla, P., Bush, V.D.: What we know and don’t know about online word-of-mouth: a review and synthesis of the literature. J. Interact. Mark. 28, 167–183 (2014)

    Article  Google Scholar 

  4. Kaemingk, D.: 20 online review stats to know in 2019. Qualtrics (2019). https://www.qualtrics. com/blog/onlinereview-stats/. Accessed 29 Feb 2020

  5. Teng, S., Khong, K.W., Goh, W.W.: Conceptualizing persuasive messages using ELM in social media. J. Internet Commer. 13, 65–87 (2014)

    Article  Google Scholar 

  6. Kitchen, P.J., Kerr, G., Schultz, D.E., McColl, R., Pals, H.: The elaboration likelihood model: review, critique and research agenda. Eur. J. Mark. (2014)

    Google Scholar 

  7. Kim, J., Lee, C.: Examining the role of relationship factors on eWOM effectiveness in social media. Int. J. Internet Mark. Advert. 11, 103–123 (2017)

    Google Scholar 

  8. Wang, P.: Understanding the influence of electronic word-of-mouth on outbound tourists’ visit intention. In: Li, H., Mäntymäki, M., Zhang, X. (eds.) I3E 2014. IAICT, vol. 445, pp. 33–45. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45526-5_4

    Chapter  Google Scholar 

  9. Petty, R.E., Cacioppo, J.T.: The elaboration likelihood model of persuasion. In: Communication and Persuasion, pp. 1–24. Springer, New York (1986). https://doi.org/10.1007/978-1-4612-4964-1_1

  10. Baek, H., Ahn, J., Choi, Y.: Helpfulness of online consumer reviews: readers’ objectives and review cues. Int. J. Electron. Commer. 17, 99–126 (2012)

    Article  Google Scholar 

  11. Sussman, S.W., Siegal, W.S.: Informational influence in organizations: an integrated approach to knowledge adoption. Inf. Syst. Res. 14, 47–65 (2003)

    Article  Google Scholar 

  12. Cheng, Y.-H., Ho, H.-Y.: Social influence’s impact on reader perceptions of online reviews. J. Bus. Res. 68, 883–887 (2015)

    Article  Google Scholar 

  13. Hussain, S., Ahmed, W., Jafar, R.M.S., Rabnawaz, A., Jianzhou, Y.: eWOM source credibility, perceived risk and food product customer’s information adoption. Comput. Hum. Behav. 66, 96–102 (2017)

    Article  Google Scholar 

  14. Agnihotri, A., Bhattacharya, S.: Online review helpfulness: role of qualitative factors. Psychol. Mark. 33, 1006–1017 (2016)

    Article  Google Scholar 

  15. Aghakhani, N., Oh, O., Gregg, D.: Beyond the review sentiment: The effect of review accuracy and review consistency on review usefulness. (2017)

    Google Scholar 

  16. Filieri, R., Hofacker, C.F., Alguezaui, S.: What makes information in online consumer reviews diagnostic over time? The role of review relevancy, factuality, currency, source credibility and ranking score. Comput. Hum. Behav. 80, 122–131 (2018)

    Article  Google Scholar 

  17. Mousavizadeh, M., Koohikamali, M., Salehan, M.: The effect of central and peripheral cues on online review helpfulness: a comparison between functional and expressive products (2015)

    Google Scholar 

  18. Srivastava, V., Kalro, A.D.: Enhancing the helpfulness of online consumer reviews: the role of latent (content) factors. J. Interact. Mark. 48, 33–50 (2019)

    Article  Google Scholar 

  19. Cheung, C.M.-Y., Sia, C.-L., Kuan, K.K.: Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. J. Assoc. Inf. Syst. 13, 2 (2012)

    Google Scholar 

  20. Luo, C., Wu, J., Shi, Y., Xu, Y.: The effects of individualism–collectivism cultural orientation on eWOM information. Int. J. Inf. Manage. 34, 446–456 (2014)

    Article  Google Scholar 

  21. Mahapatra, S., Mishra, A.: Acceptance and forwarding of electronic word of mouth. Mark. Intell. Plan. (2017)

    Google Scholar 

  22. Thomas, M.-J., Wirtz, B.W., Weyerer, J.C.: Determinants of online review credibility and its impact on consumers’ purchase intention. J. Electron. Commer. Res. 20, 1–20 (2019)

    Google Scholar 

  23. Rana, N.P., Dwivedi, Y.K., Williams, M.D.: A meta-analysis of existing research on citizen adoption of e-government. Inf. Syst. Front. 17(3), 547–563 (2013). https://doi.org/10.1007/s10796-013-9431-z

    Article  Google Scholar 

  24. Ismagilova, E., Slade, E.L., Rana, N.P., Dwivedi, Y.K.: The effect of electronic word of mouth communications on intention to buy: a meta-analysis. Inf. Syst. Front. 1–24 (2019)

    Google Scholar 

  25. Alsudairi, M., Dwivedi, Y.K.: A multi‐disciplinary profile of IS/IT outsourcing research. J. Enterpr. Inf. Manage. (2010)

    Google Scholar 

  26. Hughes, D.L., Dwivedi, Y.K., Rana, N.P., Simintiras, A.C.: Information systems project failure–analysis of causal links using interpretive structural modelling. Prod. Plan. Control 27, 1313–1333 (2016)

    Article  Google Scholar 

  27. Slade, E.L., Williams, M.D., Dwivedi, Y.K.: Devising a research model to examine adoption of mobile payments: an extension of UTAUT2. Mark. Rev. 14, 310–335 (2014)

    Article  Google Scholar 

  28. Ketron, S.: Investigating the effect of quality of grammar and mechanics (QGAM) in online reviews: the mediating role of reviewer crediblity. J. Bus. Res. 81, 51–59 (2017)

    Article  Google Scholar 

  29. Xu, P., Chen, L., Santhanam, R.: Will video be the next generation of e-commerce product reviews? Presentation format and the role of product type. Decis. Support Syst. 73, 85–96 (2015)

    Article  Google Scholar 

  30. Xu, P., Chen, L., Wu, L., Santhanam, R.: Visual Presentation Modes in Online Product Reviews and Their Effects on Consumer Responses (2012)

    Google Scholar 

  31. Chong, A.Y.L., Khong, K.W., Ma, T., McCabe, S., Wang, Y.: Analyzing key influences of tourists’ acceptance of online reviews in travel decisions. Internet Research (2018)

    Google Scholar 

  32. Evertz, L., Kollitz, R., Süß, S.: Electronic word-of-mouth via employer review sites–the effects on organizational attraction. Int. J. Hum. Res. Manage. 1–30 (2019)

    Google Scholar 

  33. Cao, X., Liu, Y., Zhu, Z., Hu, J., Chen, X.: Online selection of a physician by patients: empirical study from elaboration likelihood perspective. Comput. Hum. Behav. 73, 403–412 (2017)

    Article  Google Scholar 

  34. Han, S., Li, Y., Jiang, Y., Zhao, X.: Exploring the persuasion effect of restaurant food product online reviews on consumers' attitude and behavior. In: Proceedings of the 2018 International Conference on Internet and e-Business, pp. 57–60

    Google Scholar 

  35. Wang, P.: Exploring the influence of electronic word-of-mouth on tourists’ visit intention: A dual process approach. Journal of Systems and Information Technology (2015)

    Google Scholar 

  36. Park, D.-H., Kim, S.: The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electron. Commer. Res. Appl. 7, 399–410 (2008)

    Article  Google Scholar 

  37. Jeyaraj, A., Rottman, J.W., Lacity, M.C.: A review of the predictors, linkages, and biases in IT innovation adoption research. J. Inf. Technol. 21, 1–23 (2006)

    Article  Google Scholar 

  38. Jeyaraj, A., Dwivedi, Y.K.: Meta-analysis in information systems research: review and recommendations. Int. J. Inf. Manage. 55, 102226 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Management, Law and Social Sciences, University of Bradford, Bradford, UK

    Elvira Ismagilova

  2. Emerging Markets Research Centre, School of Management, Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  3. Department of Management, Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune, Maharashtra, India

    Yogesh K. Dwivedi

  4. College of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar

    Nripendra Rana

Authors
  1. Elvira Ismagilova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yogesh K. Dwivedi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nripendra Rana
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elvira Ismagilova .

Editor information

Editors and Affiliations

  1. National University of Ireland, Galway, Galway, Ireland

    Denis Dennehy

  2. National University of Ireland, Galway, Galway, Ireland

    Anastasia Griva

  3. Athens University of Economics and Business, Athens, Greece

    Nancy Pouloudi

  4. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  5. University of Agder, Kristiansand, Norway

    Ilias Pappas

  6. University of Turku, Turku, Finland

    Matti Mäntymäki

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ismagilova, E., Dwivedi, Y.K., Rana, N. (2021). The Use of Elaboration Likelihood Model in eWOM Research: Literature Review and Weight-Analysis. In: Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y.K., Pappas, I., Mäntymäki, M. (eds) Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021. Lecture Notes in Computer Science(), vol 12896. Springer, Cham. https://doi.org/10.1007/978-3-030-85447-8_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85447-8_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85446-1

  • Online ISBN: 978-3-030-85447-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Societies and partnerships

Search

Navigation