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Data-Mining Tools for Business Model Design: The Impact of Organizational Heterogeneity

In: Reshaping Accounting and Management Control Systems

Author

Listed:
  • Nicola Castellano

    (University of Macerata)

  • Roberto Gobbo

    (University of Macerata)

Abstract

Business models may be considered as “cognitive” devices since a deep level of knowledge about customers, suppliers, and competitors is needed for their development. Recent studies show that data-mining tools produce a positive interaction with business models, empowering the strategic performance capabilities that drive the achievement of competitive advantage. The present paper aims to discuss whether the adoption in a real context of data mining in support of business modeling may be enabled or hindered by organizational heterogeneity. The Structured Neural Network, adopted in the case study, is particularly suitable in support of strategic management, since it stimulates the convergence of personal knowledge and beliefs toward the exploitation of the key concepts and the cause-and-effect relations needed for the design of the business model. Furthermore, it provides a fact-based test for its robustness. The results provide both scientific and practical implications.

Suggested Citation

  • Nicola Castellano & Roberto Gobbo, 2017. "Data-Mining Tools for Business Model Design: The Impact of Organizational Heterogeneity," Lecture Notes in Information Systems and Organization, in: Katia Corsi & Nicola Giuseppe Castellano & Rita Lamboglia & Daniela Mancini (ed.), Reshaping Accounting and Management Control Systems, pages 237-248, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-49538-5_15
    DOI: 10.1007/978-3-319-49538-5_15
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    Cited by:

    1. Andrea Cappelli & Iacopo Cavallini, 2021. "The Potential of Big Data Analysis in the Shipbuilding Industry: A Way of Increasing Competitiveness," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(suppl. 1), pages 53-74.

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