Application of the grey Lotka-Volterra model to forecast the diffusion and competition analysis of the TV and smartphone industries

Hsi Tse Wang, Ta Chung Wang

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)37-44
Number of pages8
JournalTechnological Forecasting and Social Change
Volume106
DOIs
Publication statusPublished - 2016 May 1

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation

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