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

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. +is research aims to allocate the...

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Detalhes bibliográficos
Autores: Nestic, Snezana, Aleksic, Aleksandar, Gil Lafuente, Jaime, Cvetic, Tijana, Duric, Goran
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2022
País:España
Recursos:Universidad de Barcelona
Repositório:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/217181
Acesso em linha:https://hdl.handle.net/2445/217181
Access Level:Acceso aberto
Palavra-chave:Assignació d'actius
Incertesa
Presa de decisions (Estadística)
Asset allocation
Uncertainty
Statistical decision
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spelling The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound MethodNestic, SnezanaAleksic, AleksandarGil Lafuente, JaimeCvetic, TijanaDuric, GoranAssignació d'actiusIncertesaPresa de decisions (Estadística)Asset allocationUncertaintyStatistical decisionAs 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. +is 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. +e 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. +e considered problem is stated as an integer programming model where the optimal solution is given by a B&B algorithm. +e model is tested on a sample of forty experts from four different economic sectors.Hindawi2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/217181Articles publicats en revistes (Empresa)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1155/2022/2958519Mathematical Problems in Engineering, 2022, vol. 2022, num.2958519, p. 1-12https://doi.org/10.1155/2022/2958519cc-by (c) Nestic, S. et al., 2022http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2171812026-05-27T06:46:51Z
dc.title.none.fl_str_mv The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
title The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
spellingShingle The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
Nestic, Snezana
Assignació d'actius
Incertesa
Presa de decisions (Estadística)
Asset allocation
Uncertainty
Statistical decision
title_short The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
title_full The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
title_fullStr The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
title_full_unstemmed The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
title_sort The Allocation of Business Model Components under Presence of Uncertainties by the Branch-and-Bound Method
dc.creator.none.fl_str_mv Nestic, Snezana
Aleksic, Aleksandar
Gil Lafuente, Jaime
Cvetic, Tijana
Duric, Goran
author Nestic, Snezana
author_facet Nestic, Snezana
Aleksic, Aleksandar
Gil Lafuente, Jaime
Cvetic, Tijana
Duric, Goran
author_role author
author2 Aleksic, Aleksandar
Gil Lafuente, Jaime
Cvetic, Tijana
Duric, Goran
author2_role author
author
author
author
dc.subject.none.fl_str_mv Assignació d'actius
Incertesa
Presa de decisions (Estadística)
Asset allocation
Uncertainty
Statistical decision
topic Assignació d'actius
Incertesa
Presa de decisions (Estadística)
Asset allocation
Uncertainty
Statistical decision
description 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. +is 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. +e 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. +e considered problem is stated as an integer programming model where the optimal solution is given by a B&B algorithm. +e model is tested on a sample of forty experts from four different economic sectors.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/217181
url https://hdl.handle.net/2445/217181
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1155/2022/2958519
Mathematical Problems in Engineering, 2022, vol. 2022, num.2958519, p. 1-12
https://doi.org/10.1155/2022/2958519
dc.rights.none.fl_str_mv cc-by (c) Nestic, S. et al., 2022
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Nestic, S. et al., 2022
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hindawi
publisher.none.fl_str_mv Hindawi
dc.source.none.fl_str_mv Articles publicats en revistes (Empresa)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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