IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v10y2023i1d10.1057_s41599-023-01654-6.html
   My bibliography  Save this article

How to really quantify the economic value of customer information in corporate databases

Author

Listed:
  • Carlos Lamela-Orcasitas

    (Universidad Complutense)

  • Jesús García-Madariaga

    (Universidad Complutense)

Abstract

This paper presents a novel solution to evaluate the real impact of information and information technology (IT) in companies as fundamental tools to assess how valuable the company’s customers are. The focus is on the concept of information and knowledge as an asset with intrinsic economic value and a variable to consider in order to achieve effective customer management. It is dual research. On the one hand, it is an exploratory-conceptual type based on a review of the literature and, on the other hand, it is descriptive-quantitative through the application of an empirical case study. The proposed new customer relationship management (CRM) information value model (VICRM) offers significantly different results from other traditional models. Its main advantages include the possibility of carrying out new segmentations of customers and estimations of the company’s value. On the other hand, the model corrects some of the classic problems in customer evaluation models, such as their high dependence on the retention rate or being very regressive in the first years. The results of this research aim to serve any company whose business model is Business to Consumer (B2C) to calculate, in an effective way, the value of a large amount of information companies have about their customers.

Suggested Citation

  • Carlos Lamela-Orcasitas & Jesús García-Madariaga, 2023. "How to really quantify the economic value of customer information in corporate databases," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01654-6
    DOI: 10.1057/s41599-023-01654-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-023-01654-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-023-01654-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Jiebing & Guo, Bin & Shi, Yongjiang, 2013. "Customer knowledge management and IT-enabled business model innovation: A conceptual framework and a case study from China," European Management Journal, Elsevier, vol. 31(4), pages 359-372.
    2. Manh-Tung Ho & Peter Mantello & Hong-Kong T. Nguyen & Quan-Hoang Vuong, 2021. "Correction: Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-2, December.
    3. Shelley A. Blozis, 2022. "Bayesian two-part multilevel model for longitudinal media use data," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 311-328, December.
    4. Anna Krizanova & Lubica Gajanova & Margareta Nadanyiova, 2018. "Design of a CRM Level and Performance Measurement Model," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    5. Harrigan, Paul & Miles, Morgan P. & Fang, Yulin & Roy, Sanjit K., 2020. "The role of social media in the engagement and information processes of social CRM," International Journal of Information Management, Elsevier, vol. 54(C).
    6. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
    7. Isabel Sánchez García & Rafael Curras-Perez, 2019. "Is satisfaction a necessary and sufficient condition to avoid switching? The moderating role of service type," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 29(1), pages 54-83, February.
    8. R. Ferrentino & M. T. Cuomo & C. Boniello, 2016. "On the customer lifetime value: a mathematical perspective," Computational Management Science, Springer, vol. 13(4), pages 521-539, October.
    9. Michael Rodriguez & Stefanie Boyer, 2020. "The impact of mobile customer relationship management (mCRM) on sales collaboration and sales performance," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 137-148, September.
    10. 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.
    11. Van Hove, Leo, 2016. "Testing Metcalfe's law: Pitfalls and possibilities," Information Economics and Policy, Elsevier, vol. 37(C), pages 67-76.
    12. Chae, Heeju & Ko, Eunju, 2016. "Customer social participation in the social networking services and its impact upon the customer equity of global fashion brands," Journal of Business Research, Elsevier, vol. 69(9), pages 3804-3812.
    13. Manh-Tung Ho & Peter Mantello & Hong-Kong T. Nguyen & Quan-Hoang Vuong, 2021. "Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
    14. Anita Pansari & V. Kumar, 2017. "Customer engagement: the construct, antecedents, and consequences," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 294-311, May.
    15. Rapp, Adam & Trainor, Kevin J. & Agnihotri, Raj, 2010. "Performance implications of customer-linking capabilities: Examining the complementary role of customer orientation and CRM technology," Journal of Business Research, Elsevier, vol. 63(11), pages 1229-1236, November.
    16. Matúš Šimkovic & Birgit Träuble, 2019. "Robustness of statistical methods when measure is affected by ceiling and/or floor effect," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-47, August.
    17. Kohsuke Matsuoka, 2020. "Exploring the interface between management accounting and marketing: a literature review of customer accounting," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(3), pages 157-208, September.
    18. C. Nadine Wathen & Jacquelyn Burkell, 2002. "Believe it or not: Factors influencing credibility on the Web," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(2), pages 134-144.
    19. Marc Vanhuele & Shuba Srinivasan & Koen Pauwels, 2010. "Mindset Metrics in Market Response Models: An Integrative Approach," Post-Print hal-00528411, HAL.
    20. Marc Fischer & Sönke Albers & Nils Wagner & Monika Frie, 2011. "Practice Prize Winner --Dynamic Marketing Budget Allocation Across Countries, Products, and Marketing Activities," Marketing Science, INFORMS, vol. 30(4), pages 568-585, July.
    21. Nicholas I. Fisher & Raymond E. Kordupleski, 2019. "Good and bad market research: A critical review of Net Promoter Score," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(1), pages 138-151, January.
    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. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    2. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    3. Ho, Mia Hsiao-Wen & Chung, Henry F.L., 2020. "Customer engagement, customer equity and repurchase intention in mobile apps," Journal of Business Research, Elsevier, vol. 121(C), pages 13-21.
    4. Sheng, Jie, 2019. "Being Active in Online Communications: Firm Responsiveness and Customer Engagement Behaviour," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 40-51.
    5. Sander F. M. Beckers & Jenny Doorn & Peter C. Verhoef, 2018. "Good, better, engaged? The effect of company-initiated customer engagement behavior on shareholder value," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 366-383, May.
    6. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    7. Maria Petrescu & Anjala S. Krishen, 2021. "A tribute to our heroes and thoughts about collaborative relationships," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 81-82, June.
    8. Hyun Gon Kim & Zhan Wang, 2019. "Defining and measuring social customer-relationship management (CRM) capabilities," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(1), pages 40-50, March.
    9. Frison, Steffi & Dekimpe, Marnik G. & Croux, Christophe & De Maeyer, Peter, 2014. "Billboard and cinema advertising: Missed opportunity or spoiled arms?," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 425-433.
    10. Ho, Manh-Tung & Le, Ngoc-Thang B. & Mantello, Peter & Ho, Manh-Toan & Ghotbi, Nader, 2023. "Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude," Technology in Society, Elsevier, vol. 72(C).
    11. Koen Pauwels & Michael Peran & Zee Shah & German Schnaidt & Dauwe Vercamer, 2023. "Sponsored brands video rings up clicks and sales in the short and long run," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 275-286, September.
    12. Muhammad Junaid & Khalid Hussain & Abdul Basit & Fujun Hou, 2020. "Nature of brand love: examining its variable effect on engagement and well-being," Journal of Brand Management, Palgrave Macmillan, vol. 27(3), pages 284-299, May.
    13. Sridhar, Shrihari & Naik, Prasad A. & Kelkar, Ajay, 2017. "Metrics unreliability and marketing overspending," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 761-779.
    14. Moraga-González, José L. & Sándor, Zsolt & Wildenbeest, Matthijs R., 2014. "Prices, Product Differentiation, And Heterogeneous Search Costs," IESE Research Papers D/1097, IESE Business School.
    15. Krystyna Mazurek-Lopacinska & Magdalena Sobocinska, 2021. "Social Media in Marketing Activities of Enterprises in the Light of the Analysis of Empirical Research Results," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 647-658.
    16. Chadwick J. Miller & Daniel C. Brannon & Jim Salas & Martha Troncoza, 2021. "Advertising, incentives, and the upsell: how advertising differentially moderates customer- vs. retailer-directed price incentives’ impact on consumers’ preferences for premium products," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1043-1064, November.
    17. Cho, Daegon & Hwang, Youngdeok & Park, Jongwon, 2018. "More buzz, more vibes: Impact of social media on concert distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 103-113.
    18. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    19. Kumar, V. & Sunder, Sarang & Sharma, Amalesh, 2015. "Leveraging Distribution to Maximize Firm Performance in Emerging Markets," Journal of Retailing, Elsevier, vol. 91(4), pages 627-643.

    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:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01654-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.