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Selecting a discrete Multiple Criteria Decision Making method to decide on a corporate relocation

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Selecting a discrete Multiple Criteria Decision Making method to decide on a corporate relocation. / Haddad, Malik Jamal Musa; Sanders, David; Tewkesbury, Giles.

In: Archives of Business Research, Vol. 7, No. 5, 25.05.2019, p. 48-67.

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@article{2d11d12152724f5b9927f462a9410295,
title = "Selecting a discrete Multiple Criteria Decision Making method to decide on a corporate relocation",
abstract = "The paper considers a corporate relocation problem. The research considered an approach to decide on an appropriate Multi-Criteria Decision Making (MCDM) method out of a subdivision of possible methods to rank five cities in the United States of America based on their suitability. Selecting the location of corporate real estate is key to optimizing an organization’s success. The new approach provides decision makers with a recommended group of potentially suitable methods. Sensitivity analysis is employed to explore the recommended group and to rate the robustness of their outputs when uncertainty and risk may be present. A suitable method is recommended that provides a robust solution. MCDM methods that can deal with a discrete set of alternatives were considered. A MCDM method was recommended based on a best compromise in the minimum percentage change required in the inputs to alter the ranking of the cities.",
author = "Haddad, {Malik Jamal Musa} and David Sanders and Giles Tewkesbury",
note = "DOI: 10.14738/abr.75.6417 does not work.",
year = "2019",
month = "5",
day = "25",
language = "English",
volume = "7",
pages = "48--67",
journal = "Archives of Business Research",
issn = "2054-7404",
publisher = "Society for Science and Education",
number = "5",

}

RIS

TY - JOUR

T1 - Selecting a discrete Multiple Criteria Decision Making method to decide on a corporate relocation

AU - Haddad, Malik Jamal Musa

AU - Sanders, David

AU - Tewkesbury, Giles

N1 - DOI: 10.14738/abr.75.6417 does not work.

PY - 2019/5/25

Y1 - 2019/5/25

N2 - The paper considers a corporate relocation problem. The research considered an approach to decide on an appropriate Multi-Criteria Decision Making (MCDM) method out of a subdivision of possible methods to rank five cities in the United States of America based on their suitability. Selecting the location of corporate real estate is key to optimizing an organization’s success. The new approach provides decision makers with a recommended group of potentially suitable methods. Sensitivity analysis is employed to explore the recommended group and to rate the robustness of their outputs when uncertainty and risk may be present. A suitable method is recommended that provides a robust solution. MCDM methods that can deal with a discrete set of alternatives were considered. A MCDM method was recommended based on a best compromise in the minimum percentage change required in the inputs to alter the ranking of the cities.

AB - The paper considers a corporate relocation problem. The research considered an approach to decide on an appropriate Multi-Criteria Decision Making (MCDM) method out of a subdivision of possible methods to rank five cities in the United States of America based on their suitability. Selecting the location of corporate real estate is key to optimizing an organization’s success. The new approach provides decision makers with a recommended group of potentially suitable methods. Sensitivity analysis is employed to explore the recommended group and to rate the robustness of their outputs when uncertainty and risk may be present. A suitable method is recommended that provides a robust solution. MCDM methods that can deal with a discrete set of alternatives were considered. A MCDM method was recommended based on a best compromise in the minimum percentage change required in the inputs to alter the ranking of the cities.

UR - http://scholarpublishing.org/index.php/ABR/about/editorialPolicies#openAccessPolicy

UR - http://scholarpublishing.org/index.php/ABR/article/view/6417/3905

M3 - Article

VL - 7

SP - 48

EP - 67

JO - Archives of Business Research

JF - Archives of Business Research

SN - 2054-7404

IS - 5

ER -

ID: 11962880