کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
896364 1472394 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of the grey Lotka–Volterra model to forecast the diffusion and competition analysis of the TV and smartphone industries
ترجمه فارسی عنوان
استفاده از مدل لوتکا -ولترا خاکستری برای پیش بینی نفوذ و تحلیل رقابت صنایع تلویزیون و گوشی های هوشمند
کلمات کلیدی
تئوری خاکستری؛ مدل لوتکا ولترا؛ پیش بینی؛ تلویزیون هوشمند؛ گوشی های هوشمند
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی


• This model presented a more accurate forecasting performance than GM(1,1) and L-V.
• Growing strength of smart TVs and Android is superior to other competing products.
• Two products represent the competition relationship of predators and prey.
• Flat panel TVs and iOS are playing the role of prey.
• Smart TVs and Android are playing the role of predators.

To achieve competitive advantages, companies need to embrace changes and evolve strategies for coping with challenges when time and data are limited. This study applies grey forecast theory with the Lotka–Volterra competition model to explore the dynamic competition between smart TVs and flat panel TVs, as well as Android and iOS smartphone operating systems (OS). The results show the growing strength of smart TVs and the Android OS is superior to other competing products. With respect to the interactive relationship between products, the two aforementioned products represent the competition relationship of predators and prey: flat panel TVs and iOS are playing the role of prey, while smart TVs and Android are the predators. After comparing forecast accuracy among the model proposed in this study, the grey forecasting model GM(1,1), and Lotka–Volterra model, we found the proposed model has the best accuracy. Companies can use the proposed model to develop a strategic plan feasible enough to secure a sustainable competitive advantage.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technological Forecasting and Social Change - Volume 106, May 2016, Pages 37–44
نویسندگان
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