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Quantification of number of adopters: a study to showcase products-sold and products-in-use

Author

Listed:
  • Adarsh Anand

    (University of Delhi)

  • Chanchal

    (University of Delhi)

  • P. K. Kapur

    (Amity University)

  • Yoshinobu Tamura

    (Yamaguchi University)

Abstract

Amid globalization and technological innovations, the service market has witnessed a surge in providers, intensifying competition. Firms introduce new products and services to stay in the competition and generate more revenue, thereby resulting in substantial growth of a business. Successful introduction benefits firms not only in increasing revenues from current users but also in attracting potential customers from competitors. However, inadequate development and non-acceptance of service can lead to customer churning; curbing revenue, and stunting growth. Since customer churn has a detrimental effect on a firm’s revenue it must be monitored regularly. Customer churning shapes customer purchasing patterns and indirectly influences future acquisition through word-of-mouth, imitation, and other social effects. Acknowledging the significance of the customer churn metric, the authors have proposed a methodology that quantifies adopters as innovators, imitators, and churners. Quantifying the product sold and the product in use can help firms to implement targeted post-purchase service strategies for customer retention. The proposed quantification can help in identifying the patterns and trends that can lead to customer churn in the customer base. Further, the quantified churners constitute the users who are not satisfied with the service and their effective word-of-mouth impact on potential customers. For the validation of the proposed framework, the authors have used three real-life data sets of users, yielding satisfactory results.

Suggested Citation

  • Adarsh Anand & Chanchal & P. K. Kapur & Yoshinobu Tamura, 2024. "Quantification of number of adopters: a study to showcase products-sold and products-in-use," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(5), pages 1861-1873, May.
  • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:5:d:10.1007_s13198-023-02188-5
    DOI: 10.1007/s13198-023-02188-5
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    References listed on IDEAS

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    1. Richie Aggarwal & Ompal Singh & Adarsh Anand & P. K. Kapur, 2019. "Modeling innovation adoption incorporating time lag between awareness and adoption process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 83-90, February.
    2. Haenlein, Michael, 2013. "Social interactions in customer churn decisions: The impact of relationship directionality," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 236-248.
    3. Aurélie Lemmens & Sunil Gupta, 2020. "Managing Churn to Maximize Profits," Marketing Science, INFORMS, vol. 39(5), pages 956-973, September.
    4. Lemmens, A. & Croux, C., 2006. "Bagging and boosting classification trees to predict churn," Other publications TiSEM d5cb664d-5859-44db-a621-e, Tilburg University, School of Economics and Management.
    5. Deepti Aggrawal & Adarsh Anand & Ompal Singh & P.K. Kapur, 2015. "Modelling successive generations for products-in-use and number of products sold in the market," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 24(2), pages 228-244.
    6. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    7. Jasmine Kaur & Vernika Arora & Shivani Bali, 2020. "Influence of technological advances and change in marketing strategies using analytics in retail industry," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(5), pages 953-961, October.
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