Data-driven manufacturer-retailer collaboration under competition

Name: Data-driven manufacturer-retailer collaboration under competition
Author: Akçura, Munir Tolga

İsim	Data-driven manufacturer-retailer collaboration under competition
Yazar	Akçura, Munir Tolga
Basım Tarihi:	2019-03-16
Basım Yeri	- Taylor & Francis
Konu	Data analytics, Supply chain collaboration, Retailing, Game theory
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1751-7575
Kayıt Numarası	1c4763b6-d738-472a-9a93-b0e519554679
Lokasyon	Business Administration
Tarih	2019-03-16
Notlar	Farmer School of Business, Miami University
Örnek Metin	This research employs game theoretic models to investigate how and when data-driven collaborations between manufacturers and retailers are beneficial. In the models, two symmetric retailers each offer two products from two different manufacturers. Each manufacturer may choose to collaborate with one or both retailers through data-driven initiatives in providing retail value to the consumers. The results show that the main incentive behind these collaborations arise from the efficient allocation of resources. Surprisingly, greater brand differentiation reduces profit margins and the incentive to collaborate. We also find that market leaders can endogenously arise through data-driven collaborations.
DOI	10.1080/17517575.2018.1509136
Cilt	13

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Data-driven manufacturer-retailer collaboration under competition

Yazar Akçura, Munir Tolga

Basım Tarihi 2019-03-16

Basım Yeri - Taylor & Francis

Konu Data analytics, Supply chain collaboration, Retailing, Game theory

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1751-7575

Kayıt Numarası 1c4763b6-d738-472a-9a93-b0e519554679

Lokasyon Business Administration

Tarih 2019-03-16

Notlar Farmer School of Business, Miami University

Örnek Metin This research employs game theoretic models to investigate how and when data-driven collaborations between manufacturers and retailers are beneficial. In the models, two symmetric retailers each offer two products from two different manufacturers. Each manufacturer may choose to collaborate with one or both retailers through data-driven initiatives in providing retail value to the consumers. The results show that the main incentive behind these collaborations arise from the efficient allocation of resources. Surprisingly, greater brand differentiation reduces profit margins and the incentive to collaborate. We also find that market leaders can endogenously arise through data-driven collaborations.

DOI 10.1080/17517575.2018.1509136

Cilt 13