Evaluating Strategic Entry Decisions Using Spherical Fuzzy Sets

Sezi Cevik Onar*, Cengiz Kahraman, Basar Oztaysi

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques
Ana bilgisayar yayını alt yazısıSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditörlerCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
YayınlayanSpringer
Sayfalar127-133
Sayfa sayısı7
ISBN (Basılı)9783030511555
DOI'lar
Yayın durumuYayınlandı - 2021
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Süre: 21 Tem 202023 Tem 2020

Yayın serisi

AdıAdvances in Intelligent Systems and Computing
Hacim1197 AISC
ISSN (Basılı)2194-5357
ISSN (Elektronik)2194-5365

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot21/07/2023/07/20

Bibliyografik not

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

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