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The General Concept of the Revenue Model for Sustainability Growth

Author

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  • Katarína Remeňová

    (Department of Management, University of Economics, 852 35 Bratislava, Slovakia)

  • Jakub Kintler

    (Department of Business Economy, University of Economics, 852 35 Bratislava, Slovakia)

  • Nadežda Jankelová

    (Department of Management, University of Economics, 852 35 Bratislava, Slovakia)

Abstract

Since revenue streams provide financial stability for business development, companies are tasked with conducting an individual revenue model, that ensures their healthy and sustainable growth. Therefore, it is important to take into account the manner of creating revenues. This initiative relates to the revenue generation mechanism which describes how revenue is generated from the offer. Our research aims to find out whether the number of revenue streams (scope of the revenue model) and other financial and production indicators can predict the amount of revenue, as well as which factors can predict the scope of the revenue model. Concurrently we have focused on analyzing the sources of revenue streams and have selected key business variables in the wine producing industry. This sector had been selected as there is a significant difference between revenue streams based on manufacturing and those based on tourism activities. This concept was created by using theoretical knowledge about the value, pricing and segmentation. The goal of our research article was to design the General Concept of the Revenue Model and to identify variables with a strong influence on it. Results of the multiple linear regression analysis confirmed the significant influence of particular predictors on the scope of the revenue model, whereby the model explains up to 80% of the variance.

Suggested Citation

  • Katarína Remeňová & Jakub Kintler & Nadežda Jankelová, 2020. "The General Concept of the Revenue Model for Sustainability Growth," Sustainability, MDPI, vol. 12(16), pages 1-12, August.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6635-:d:399909
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    References listed on IDEAS

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    1. Justel, Ana & Peña, Daniel & Zamar, Rubén, 1997. "A multivariate Kolmogorov-Smirnov test of goodness of fit," Statistics & Probability Letters, Elsevier, vol. 35(3), pages 251-259, October.
    2. Schröder, Nadine & Falke, Andreas & Hruschka, Harald & Reutterer, Thomas, 2019. "Analyzing the Browsing Basket: A Latent Interests-Based Segmentation Tool," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 181-197.
    3. Sheehan, Norman T. & Bruni-Bossio, Vince, 2015. "Strategic value curve analysis: Diagnosing and improving customer value propositions," Business Horizons, Elsevier, vol. 58(3), pages 317-324.
    4. Kindström, Daniel & Ottosson, Mikael, 2016. "Local and regional energy companies offering energy services: Key activities and implications for the business model," Applied Energy, Elsevier, vol. 171(C), pages 491-500.
    5. Jenni Soo-Hee Lee & Dan McCole & Don Holecek, 2020. "Exploring Winery Visitors in the Emerging Wine Regions of the North Central United States," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    6. James Fan & Christopher Griffin, 2014. "Optimal Digital Product Maintenance with a Continuous Revenue Stream," Papers 1412.8624, arXiv.org, revised Feb 2017.
    7. Niklas, Britta & Storchmann, Karl & Vink, Nick, 2017. "Fairtrade Wine Price Dispersion in the United Kingdom," Journal of Wine Economics, Cambridge University Press, vol. 12(4), pages 446-456, November.
    8. Patrick Spieth & Sabrina Schneider, 2016. "Business model innovativeness: designing a formative measure for business model innovation," Journal of Business Economics, Springer, vol. 86(6), pages 671-696, August.
    9. Látečková, A. & Bolek, V. & Szabo, Ľ., 2018. "Information Systems in Agricultural Enterprises: An Empirical Study in Slovak Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    10. Benedikt Berger, 2018. "Commerce-oriented revenue models for content providers: an experimental study of commerciality’s effect on credibility," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 93-109, February.
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    Cited by:

    1. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    2. Eva Adámiková & Tatiana Čorejová, 2021. "Creative Accounting and the Possibility of Its Detection in the Evaluation of the Company by Expert," JRFM, MDPI, vol. 14(7), pages 1-12, July.
    3. Tabares, Sabrina & Parida, Vinit & Visnjic, Ivanka, 2023. "Revenue models for digital services in the railway industry: A framework for choosing the right revenue model," Journal of Business Research, Elsevier, vol. 165(C).

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