Developing a New Foresight Model for Future Technology Evaluation in Electric Vehicle Industry

NCUIR > School of Management at National Central University > Department of Information Management > journal & Dissertation > Item 987654321/51831

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51831

Title:	Developing a New Foresight Model for Future Technology Evaluation in Electric Vehicle Industry
Authors:	Shiue,YC;Lin,CY
Contributors:	資訊管理學系
Keywords:	SCENARIOS;VISION;IMPACT
Date:	2011
Issue Date:	2012-03-27 19:07:16 (UTC+8)
Publisher:	國立中央大學
Abstract:	Scenario analysis (SA) is one of the methodologies utilized for forecasting issues within long-term events. Past researches have typically used SA to attain foresight into future issues that focus on a short-term time frame. Nevertheless, SA implies some weaknesses in that it is unable to define the transition between time states clearly and it cannot meaningfully explain how to forecast long-term uncertainty effectively and how to link present and future situations. Based on these weaknesses, we established a Markov SA (MASA) model that integrates the concept of vision, linking analysis planning, Markov chain, and SA so that we can improve the existing model for SA. The MASA model not only solves our insufficient information problem for a complete SA model but also classifies four categories for forecasting future events. The four categories that can confirm a future trend are (1) state of constancy, (2) state of disappearance, (3) state of change, and (4) state of uncertainty. This paper introduces the principles and application of the MASA model. A sample case study is given to explain how the MASA model can be applied.
Relation:	JOURNAL OF TESTING AND EVALUATION
Appears in Collections:	[Department of Information Management] journal & Dissertation

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