The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
Apstrakt
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.
Izvor:
Mathematical Problems in Engineering, 2022, 2022Izdavač:
- Hindawi Ltd, London
DOI: 10.1155/2022/2958519
ISSN: 1024-123X
WoS: 000788022000004
Scopus: 2-s2.0-85125846331
Kolekcije
Institucija/grupa
Mašinski fakultetTY - JOUR AU - Nestić, Snežana AU - Aleksić, Aleksandar AU - Lafuente, Jaime Gil AU - Cvetić, Tijana AU - Đurić, Goran PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3723 AB - 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. PB - Hindawi Ltd, London T2 - Mathematical Problems in Engineering T1 - The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method VL - 2022 DO - 10.1155/2022/2958519 ER -
@article{ author = "Nestić, Snežana and Aleksić, Aleksandar and Lafuente, Jaime Gil and Cvetić, Tijana and Đurić, Goran", year = "2022", 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.", publisher = "Hindawi Ltd, London", journal = "Mathematical Problems in Engineering", title = "The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method", volume = "2022", doi = "10.1155/2022/2958519" }
Nestić, S., Aleksić, A., Lafuente, J. G., Cvetić, T.,& Đurić, G.. (2022). The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method. in Mathematical Problems in Engineering Hindawi Ltd, London., 2022. https://doi.org/10.1155/2022/2958519
Nestić S, Aleksić A, Lafuente JG, Cvetić T, Đurić G. The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method. in Mathematical Problems in Engineering. 2022;2022. doi:10.1155/2022/2958519 .
Nestić, Snežana, Aleksić, Aleksandar, Lafuente, Jaime Gil, Cvetić, Tijana, Đurić, Goran, "The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method" in Mathematical Problems in Engineering, 2022 (2022), https://doi.org/10.1155/2022/2958519 . .