دانلود مقاله ISI انگلیسی شماره 43475
عنوان فارسی مقاله

انگیزه به اشتراک گذاری اطلاعات در ساختارهای مختلف بازاری

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
43475 2015 11 صفحه PDF سفارش دهید 11860 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Incentive information sharing in various market structures
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Decision Support Systems, Volume 76, August 2015, Pages 76–86

کلمات کلیدی
استراتژی بازاریابی - به اشتراک گذاری اطلاعات - اطلاعات نامتقارن - تحریف اطلاعات - مدل سازی عدم قطعیت - مدیریت زنجیره تامین
پیش نمایش مقاله
پیش نمایش مقاله انگیزه به اشتراک گذاری اطلاعات در ساختارهای مختلف بازاری

چکیده انگلیسی

Information sharing between firms has been cited as a major means to improve firm performance. This paper develops a conceptual framework that relates information sharing to firm profitability in a duopoly market. The framework allows each firm to have its own private information about uncertain market demand. We utilize a game-theoretical model to examine this framework. Our results reveal that information sharing has no uniform effect on firm performance. Firms behaving in the Bertrand mode benefit from information sharing only under certain conditions. However, firms behaving in the Stackelberg mode always benefit from information sharing. Further, we examine how the value of information sharing is affected by the nature of firm, the product brand, and the degree of product differentiation. Our results show that when two firms have high level of customer satisfaction, offer products with reputable brands, or sell products that are strongly substituted in the market, information sharing becomes significantly important and imperative to both firms. Particularly if two firms behave in a Stackelberg mode, the value of information sharing further increases. Furthermore, we also address the issue of information distortion and propose EDI (Electronic Data Interchange) information system with a nonnegative matrix-factorization technique as an effective and valuable mechanism to eliminate any possible information distortion, so that both firms can share their forecast information truthfully.

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