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Outsourcing modelling using a novel interval-valued fuzzy quantitative strategic planning matrix (QSPM) and multiple criteria decision-making (MCDMs)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10242775" target="_blank" >RIV/61989100:27510/20:10242775 - isvavai.cz</a>

  • Result on the web

    <a href="https://reader.elsevier.com/reader/sd/pii/S0925527319303123?token=B011766B9991724DE20AED57973A0021CD1FBF6DAB927F5529928D57DAE4BD489EEFF48EB07D27810864DE454065DDAC" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S0925527319303123?token=B011766B9991724DE20AED57973A0021CD1FBF6DAB927F5529928D57DAE4BD489EEFF48EB07D27810864DE454065DDAC</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijpe.2019.09.015" target="_blank" >10.1016/j.ijpe.2019.09.015</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Outsourcing modelling using a novel interval-valued fuzzy quantitative strategic planning matrix (QSPM) and multiple criteria decision-making (MCDMs)

  • Original language description

    Outsourcing drives companies to focus on: their capabilities, advantages of external resources, and decreasing overall operational costs. Selecting appropriate alliances, which are aligned with the company&apos;s strategies, establishes a situation through which the firms can enhance their technical capabilities and achieve new technologies. However, two critical issues in outsourcing modeling should be addressed: how to find strategic indicators for building successful alliances, and how to select these partners. Besides, as the imprecise and vague information (due to a lack of data) existing in the outsourcing models cannot be neglected, the application of fuzzy interval sets could efficiently address the complexity of these problems. To deal with these issues, this paper proposes a two-step interval-based framework for the problem. At the beginning, and for the first time, the novel integration of an interval valued fuzzy (IVF) version of strength-weakness-opportunity-threats (SWOT) technique and the quantitative strategic planning matrix (QSPM) with Gap analysis is designed to find the most effective strategies for the alliance evaluation, and to weight them. In the next step, four interval-valued version of multiple criteria decision-making methods (IVF-MCDMs) are implemented to evaluate the strategic partners. Finally, the results are aggregated with the help of the utility interval approach, and a sensitivity analysis is implemented to assess the robustness of the proposed methodology. To illustrate the efficiency of the proposed approach, a real partner selection problem at a holding car manufacturing factory in Iran is presented. (C) 2019 Elsevier B.V.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Production Economics

  • ISSN

    0925-5273

  • e-ISSN

  • Volume of the periodical

    222

  • Issue of the periodical within the volume

    April

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    19

  • Pages from-to

    107494

  • UT code for WoS article

    000525321500018

  • EID of the result in the Scopus database

    2-s2.0-85073948228