Evaluating Strategic Entry Decisions Using Spherical Fuzzy Sets

Sezi Cevik Onar*, Cengiz Kahraman, Basar Oztaysi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In today’s economy, companies have to constantly develop new strategies and have to choose whether to expand into new markets, stabilize in or exit from the existing markets. The entry in to the new markets is a complex strategic decision; it does not only involve the entry mode decision but also in some occasions involve partner selection. When the entry modes such as mergers, acquisitions, joint ventures or strategic alliances are selected, partner selection become the major determinant of the success. Attributes such as partners’ resources, technological diversity, common benefits or the size of the partners have a significant impact on the success of the entry decisions. Yet, under different environmental conditions partners may show different performances. It is not easy to evaluate partners under these uncertainties. Spherical fuzzy sets enable dealing with hesitancy and uncertainty. In this study, a minimax regret based spherical fuzzy decision making approach is developed for evaluating the partners in the market entry decisions.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques
Subtitle of host publicationSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
PublisherSpringer
Pages127-133
Number of pages7
ISBN (Print)9783030511555
DOIs
Publication statusPublished - 2021
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Duration: 21 Jul 202023 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1197 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/TerritoryTurkey
CityIstanbul
Period21/07/2023/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Market entry
  • Minimax regret
  • Spherical fuzzy sets
  • Strategic decisions

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