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The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method

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  • Snežana Nestić
  • Aleksandar Aleksić
  • Jaime Gil Lafuente
  • Tijana Cvetić
  • Goran Ä urić
  • Darko Božanić

Abstract

As the only constant in business is change, business transformation is essential for adopting new perspectives and business trends. One of the keys to performing successful business transformation is to be fully aware of the current components of the business model. This research aims to allocate the business model components (BMCs) to defined business model components groups (BMCGs) by developing a new approach that integrates fuzzy sets and heuristic algorithms. The allocation results enable a comprehensive analysis of business model frameworks and give a good connection to research in the domain of strategic management and business process modeling. For allocation, the decision-makers (DMs) are employing the linguistic terms modeled by the fuzzy sets theory. The considered problem is stated as an integer programming model where the optimal solution is given by a B&B algorithm. The model is tested on a sample of forty experts from four different economic sectors.

Suggested Citation

  • Snežana Nestić & Aleksandar Aleksić & Jaime Gil Lafuente & Tijana Cvetić & Goran Ä urić & Darko Božanić, 2022. "The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, February.
    • Handle: RePEc:hin:jnlmpe:2958519
    DOI: 10.1155/2022/2958519
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