IDEAS home Printed from https://ideas.repec.org/a/zbw/hsgmrs/275844.html
   My bibliography  Save this article

Brand Equity Valuation Through Big Data Intelligence

Author

Listed:
  • Schmidt, Steffen
  • Buckler, Frank
  • Langner, Sascha
  • Wiedmann, Klaus-Peter

Abstract

The internet provides the informative potential for brand companies to display an actual brand report. The present work introduces and examines a systematic brand equity valuation based on an advanced and intelligent data analysis applied to data extracted from the internet. Specifically, the developed model approach convinces with a high predictive power.

Suggested Citation

  • Schmidt, Steffen & Buckler, Frank & Langner, Sascha & Wiedmann, Klaus-Peter, 2016. "Brand Equity Valuation Through Big Data Intelligence," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 33(2), pages 32-41.
  • Handle: RePEc:zbw:hsgmrs:275844
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/275844/1/MRSG_2016_2_32-41.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lei Zhang & Yanjie Wang & Honghai Sun & Zhijun Yao & Shuwen He, 2015. "Robust Visual Correlation Tracking," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, September.
    2. Dominique M. Hanssens & Koen H. Pauwels & Shuba Srinivasan & Marc Vanhuele & Gokhan Yildirim, 2014. "Consumer Attitude Metrics for Guiding Marketing Mix Decisions," Marketing Science, INFORMS, vol. 33(4), pages 534-550, July.
    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. Vivian Qin & Koen Pauwels & Bobby Zhou, 2024. "Data-driven budget allocation of retail media by ad product, funnel metric, and brand size," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 235-249, June.
    2. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    3. Romain Cadario & Pierre Chandon, 2020. "Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments," Marketing Science, INFORMS, vol. 39(3), pages 465-486, May.
    4. Hauke A. Wetzel & Stefan Hattula & Maik Hammerschmidt & Harald J. Heerde, 2018. "Building and leveraging sports brands: evidence from 50 years of German professional soccer," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 591-611, July.
    5. Valenti, Albert & Yildirim, Gokhan & Vanhuele, Marc & Srinivasan, Shuba & Pauwels, Koen, 2023. "Advertising’s sequence of effects on consumer mindset and sales: A comparison across brands and product categories," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 435-454.
    6. El Ouardighi, Fouad & Feichtinger, Gustav & Grass, Dieter & Hartl, Richard & Kort, Peter M., 2016. "Autonomous and advertising-dependent ‘word of mouth’ under costly dynamic pricing," European Journal of Operational Research, Elsevier, vol. 251(3), pages 860-872.
    7. Jeffrey A. Hoyle & Rebecca Dingus & J. Holton Wilson, 0. "An exploration of sales forecasting: sales manager and salesperson perspectives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 0, pages 1-10.
    8. J. Andrew Petersen & V. Kumar & Yolanda Polo & F. Javier Sese, 2018. "Unlocking the power of marketing: understanding the links between customer mindset metrics, behavior, and profitability," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 813-836, September.
    9. Bekk, Magdalena & Eppmann, René & Klein, Kristina & Völckner, Franziska, 2022. "All that glitters is not gold: An investigation into the undesired effects of gamification and how to mitigate them through gamification design," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1059-1081.
    10. Agag, Gomaa & Durrani, Baseer Ali & Shehawy, Yasser Moustafa & Alharthi, Majed & Alamoudi, Hawazen & El-Halaby, Sherif & Hassanein, Ahmed & Abdelmoety, Ziad H., 2023. "Understanding the link between customer feedback metrics and firm performance," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    11. Stäbler, Samuel & Himme, Alexander & Edeling, Alexander & Backhaus, Max, 2023. "How firm communication affects the impact of layoff announcements on brand strength over time," Other publications TiSEM b65b6561-d780-4d3f-a490-0, Tilburg University, School of Economics and Management.
    12. Shuba Srinivasan & Oliver J. Rutz & Koen Pauwels, 2016. "Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 440-453, July.
    13. Chih-Hsing Liu & Jeou-Shyan Horng & Sheng-Fang Chou & Tai-Yi Yu & Yung-Chuan Huang & Jun-You Lin, 2023. "Integrating big data and marketing concepts into tourism, hospitality operations and strategy development," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1905-1922, April.
    14. Cain, P.M., 2022. "Modelling short-and long-term marketing effects in the consumer purchase journey," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 96-116.
    15. Bharadwaj, Neeraj & Ballings, Michel & Naik, Prasad A., 2020. "Cross-Media Consumption: Insights from Super Bowl Advertising," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 17-31.
    16. Dhrithi Mahadevan & G. Shainesh, 2024. "Conceptualizing customer experience in multi-actor platforms," AMS Review, Springer;Academy of Marketing Science, vol. 14(1), pages 83-103, June.
    17. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    18. Chou, Sheng-Fang & Horng, Jeou-Shyan & Sam Liu, Chih-Hsing & Lin, Jun-You, 2020. "Identifying the critical factors of customer behavior: An integration perspective of marketing strategy and components of attitudes," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    19. Rex Yuxing Du & Mingyu Joo & Kenneth C. Wilbur, 2018. "Advertising and Brand Attitudes: Evidence from 575 Brands over Five Years," Papers 1810.07783, arXiv.org.
    20. Liwu Hsu & Susan Fournier & Shuba Srinivasan, 2016. "Brand architecture strategy and firm value: how leveraging, separating, and distancing the corporate brand affects risk and returns," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 261-280, March.

    More about this item

    Statistics

    Access and download statistics

    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:zbw:hsgmrs:275844. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://imc.unisg.ch/ .

    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.