IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03700393.html
   My bibliography  Save this paper

Eliciting brand association networks: A new method using online community data

Author

Listed:
  • Pradeep Kumar Ponnamma Divakaran

    (ESC [Rennes] - ESC Rennes School of Business)

  • Jie Xiong

    (ESSCA - Ecole Supérieure des Sciences Commerciales d'Angers)

Abstract

This study explores a new methodology called community-aided brand concept map (CA-BCM) for eliciting brand association networks using data collected from technology-enabled online communities. NVivo software is used to qualitatively code these data to 1) uncover how users associate themselves with a brand and 2) use content analysis to quantify each of these associations, leading to the elicitation of a comprehensive network of brand associations and their relationships. Using the example of a movie brand, the new tool CA-BCM effectively uncovers 1) the core, secondary, and tertiary brand associations and 2) classifies the brand associations into strong, favorable, and unique associations. Finally, 3) using these brand association classification data and the brand awareness level, customer brand equity is measured. Pearson correlation is used to provide external validity to the CA-BCM technique, which shows a significant and positive relationship between customer brand equity and market performance. The implications and limitations of this study are presented.

Suggested Citation

  • Pradeep Kumar Ponnamma Divakaran & Jie Xiong, 2022. "Eliciting brand association networks: A new method using online community data," Post-Print hal-03700393, HAL.
    • Handle: RePEc:hal:journl:hal-03700393
    DOI: 10.1016/j.techfore.2022.121769
    Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-03700393
    as

    Download full text from publisher

    File URL: https://rennes-sb.hal.science/hal-03700393/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.techfore.2022.121769?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    2. Karniouchina, Ekaterina V., 2011. "Impact of star and movie buzz on motion picture distribution and box office revenue," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 62-74.
    3. Liu, Yiazo & Lopez, Rigoberto, 2014. "The Impact of Social Media Conversations on Consumer Brands," 2014 AAEA/EAAE/CAES Joint Symposium: Social Networks, Social Media and the Economics of Food, May 29-30, 2014, Montreal, Canada 166104, Agricultural and Applied Economics Association.
    4. Böger, Daniel & Kottemann, Pascal & Meißner, Martin & Decker, Reinhold, 2017. "A mechanism for aggregating association network data: An application to brand concept maps," Journal of Business Research, Elsevier, vol. 79(C), pages 90-106.
    5. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    6. Purnawirawan, Nathalia & Eisend, Martin & De Pelsmacker, Patrick & Dens, Nathalie, 2015. "A Meta-analytic Investigation of the Role of Valence in Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 17-27.
    7. Géraldine Michel & Naveen Donthu, 2014. "Why negative brand extension evaluations do not always negatively affect the brand: The role of central and peripheral brand associations," Post-Print halshs-01898203, HAL.
    8. Henderson, Geraldine R. & Iacobucci, Dawn & Calder, Bobby J., 1998. "Brand diagnostics: Mapping branding effects using consumer associative networks," European Journal of Operational Research, Elsevier, vol. 111(2), pages 306-327, December.
    9. Fisher, Robert J, 1993. "Social Desirability Bias and the Validity of Indirect Questioning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 303-315, September.
    10. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    11. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    12. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    13. Koll, Oliver & von Wallpach, Sylvia, 2014. "Intended brand associations: Do they really drive consumer response?," Journal of Business Research, Elsevier, vol. 67(7), pages 1501-1507.
    14. Macdonald, Emma K. & Sharp, Byron M., 2000. "Brand Awareness Effects on Consumer Decision Making for a Common, Repeat Purchase Product:: A Replication," Journal of Business Research, Elsevier, vol. 48(1), pages 5-15, April.
    15. Girish Punj, 2013. "Do consumers who conduct online research also post online reviews? A model of the relationship between online research and review posting behavior," Marketing Letters, Springer, vol. 24(1), pages 97-108, March.
    16. Schnittka, Oliver & Sattler, Henrik & Zenker, Sebastian, 2012. "Advanced brand concept maps: A new approach for evaluating the favorability of brand association networks," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 265-274.
    17. Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
    18. Elberse, Anita & Anand, Bharat, 2007. "The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 319-343, October.
    19. Amit M. Joshi & Dominique M. Hanssens, 2009. "Movie Advertising and the Stock Market Valuation of Studios: A Case of “Great Expectations?”," Marketing Science, INFORMS, vol. 28(2), pages 239-250, 03-04.
    20. Divakaran, Pradeep Kumar Ponnamma & Palmer, Adrian & Søndergaard, Helle Alsted & Matkovskyy, Roman, 2017. "Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 12-28.
    21. Chakravarty, Anindita & Liu, Yong & Mazumdar, Tridib, 2010. "The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 185-197.
    22. Michel, Géraldine & Donthu, Naveen, 2014. "Why negative brand extension evaluations do not always negatively affect the brand: The role of central and peripheral brand associations," Journal of Business Research, Elsevier, vol. 67(12), pages 2611-2619.
    23. Martin Schreier & Stefan Oberhauser & Reinhard Prügl, 2007. "Lead users and the adoption and diffusion of new products: Insights from two extreme sports communities," Marketing Letters, Springer, vol. 18(1), pages 15-30, June.
    24. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    25. Sang Ho Kim & Namkee Park & Seung Hyun Park, 2013. "Exploring the Effects of Online Word of Mouth and Expert Reviews on Theatrical Movies' Box Office Success," Journal of Media Economics, Taylor & Francis Journals, vol. 26(2), pages 98-114, June.
    26. Sanjay Sood & Xavier Drze, 2006. "Brand Extensions of Experiential Goods: Movie Sequel Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(3), pages 352-360, October.
    27. Finn, Adam & Wang, Luming & Frank, Tema, 2009. "Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 209-220.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Divakaran, Pradeep Kumar Ponnamma & Xiong, Jie, 2022. "Eliciting brand association networks: A new method using online community data," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    2. Ponnamma Divakaran, Pradeep Kumar, 2018. "Technology-enabled community data for gaining pre-release brand insights," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 217-226.
    3. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    4. Anja Plumeyer & Pascal Kottemann & Daniel Böger & Reinhold Decker, 2019. "Measuring brand image: a systematic review, practical guidance, and future research directions," Review of Managerial Science, Springer, vol. 13(2), pages 227-265, April.
    5. Divakaran, Pradeep Kumar Ponnamma & Palmer, Adrian & Søndergaard, Helle Alsted & Matkovskyy, Roman, 2017. "Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 12-28.
    6. Kim, Ho & Hanssens, Dominique M., 2017. "Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 57-74.
    7. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    8. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    9. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    10. Xiao Liu & Param Vir Singh & Kannan Srinivasan, 2016. "A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing," Marketing Science, INFORMS, vol. 35(3), pages 363-388, May.
    11. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    12. Hailin Zhang & Xina Yuan & Tae Ho Song, 2020. "Examining the role of the marketing activity and eWOM in the movie diffusion: the decomposition perspective," Electronic Commerce Research, Springer, vol. 20(3), pages 589-608, September.
    13. Mitra, Satanik & Jenamani, Mamata, 2020. "OBIM: A computational model to estimate brand image from online consumer review," Journal of Business Research, Elsevier, vol. 114(C), pages 213-226.
    14. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    15. Atadil, Hilmi A. & Sirakaya-Turk, Ercan & Baloglu, Seyhmus & Kirillova, Ksenia, 2017. "Destination Neurogenetics: Creation of destination meme maps of tourists," Journal of Business Research, Elsevier, vol. 74(C), pages 154-161.
    16. Belvaux, Bertrand & Mencarelli, Rémi, 2021. "Prevision model and empirical test of box office results for sequels," Journal of Business Research, Elsevier, vol. 130(C), pages 38-48.
    17. François A. Carrillat & Renaud Legoux & Allègre L. Hadida, 2018. "Debates and assumptions about motion picture performance: a meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 273-299, March.
    18. Bae, Giwoong & Kim, Hye-jin, 2019. "The impact of movie titles on box office success," Journal of Business Research, Elsevier, vol. 103(C), pages 100-109.
    19. Delre, Sebastiano A. & Panico, Claudio & Wierenga, Berend, 2017. "Competitive strategies in the motion picture industry: An ABM to study investment decisions," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 69-99.
    20. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03700393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.