A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments

Strategic decision-making is often complex and uncertain, especially in turbulent environments. A large number of frequently conflicting indicators, rapid and unpredictable environmental changes, and the long-term consequences of making a decision have revealed the need for managers to use more effi...

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Main Author: Ali Sorourkhah
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2024-06-01
Series:International Journal of Research in Industrial Engineering
Subjects:
Online Access:https://www.riejournal.com/article_196788_9582f96b56fe7c7bd66061701ad98ca3.pdf
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author Ali Sorourkhah
author_facet Ali Sorourkhah
author_sort Ali Sorourkhah
collection DOAJ
description Strategic decision-making is often complex and uncertain, especially in turbulent environments. A large number of frequently conflicting indicators, rapid and unpredictable environmental changes, and the long-term consequences of making a decision have revealed the need for managers to use more efficient tools. Today, for tomorrow, conventional tools such as Quantitative Strategic Planning Matrix (QSPM) and MADM help us make the best decision based on yesterday's information. In some scenario planning approaches, the number of scenarios is so few that it cannot represent future uncertainty. In MADM methods, the problem of calculation complexity arises due to the increase in the number of elements. To address these issues, this research proposed an alternative approach for choosing the best strategy in which the alternative strategies are defined by SWOT analysis, future scenarios are determined by applying a matrix approach, irrational scenarios are eliminated by using interpretive structural modelling, and strategies are assessed by implementing Robustness Analysis (RA). The proposed method involves a case study related to a distributing centre for a food and beverage company located west of Mazandaran province, Iran. Nine alternative strategies' performances were evaluated in twenty-two scenarios based on six significant indicators shaping the future environment, and the best strategy was selected. Finally, some directions for future studies were presented. This study provides managerial implications by showing that despite the classic strategy selection approach being appropriate for austere environments and the MADM models being reasonable for complex environments, RA  produces more reliable results when dealing with turbulent environments.
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spelling doaj-art-08a61dc688a1430bb9db7e2133987aba2025-01-30T15:10:13ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372024-06-0113222423610.22105/riej.2024.448579.1428196788A scenario-based alternative to conventional tools for choosing the strategy in turbulent environmentsAli Sorourkhah0Department of Management, Ayandegan Institute of Higher Education, Tonekabon, Iran.Strategic decision-making is often complex and uncertain, especially in turbulent environments. A large number of frequently conflicting indicators, rapid and unpredictable environmental changes, and the long-term consequences of making a decision have revealed the need for managers to use more efficient tools. Today, for tomorrow, conventional tools such as Quantitative Strategic Planning Matrix (QSPM) and MADM help us make the best decision based on yesterday's information. In some scenario planning approaches, the number of scenarios is so few that it cannot represent future uncertainty. In MADM methods, the problem of calculation complexity arises due to the increase in the number of elements. To address these issues, this research proposed an alternative approach for choosing the best strategy in which the alternative strategies are defined by SWOT analysis, future scenarios are determined by applying a matrix approach, irrational scenarios are eliminated by using interpretive structural modelling, and strategies are assessed by implementing Robustness Analysis (RA). The proposed method involves a case study related to a distributing centre for a food and beverage company located west of Mazandaran province, Iran. Nine alternative strategies' performances were evaluated in twenty-two scenarios based on six significant indicators shaping the future environment, and the best strategy was selected. Finally, some directions for future studies were presented. This study provides managerial implications by showing that despite the classic strategy selection approach being appropriate for austere environments and the MADM models being reasonable for complex environments, RA  produces more reliable results when dealing with turbulent environments.https://www.riejournal.com/article_196788_9582f96b56fe7c7bd66061701ad98ca3.pdfstrategyrobustness analysisswotqspmmadmism
spellingShingle Ali Sorourkhah
A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments
International Journal of Research in Industrial Engineering
strategy
robustness analysis
swot
qspm
madm
ism
title A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments
title_full A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments
title_fullStr A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments
title_full_unstemmed A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments
title_short A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments
title_sort scenario based alternative to conventional tools for choosing the strategy in turbulent environments
topic strategy
robustness analysis
swot
qspm
madm
ism
url https://www.riejournal.com/article_196788_9582f96b56fe7c7bd66061701ad98ca3.pdf
work_keys_str_mv AT alisorourkhah ascenariobasedalternativetoconventionaltoolsforchoosingthestrategyinturbulentenvironments
AT alisorourkhah scenariobasedalternativetoconventionaltoolsforchoosingthestrategyinturbulentenvironments