Title

以語意模糊集合探索產品生命週期之投資組合決策

Translated Titles

Decision for Product Life Cycle Portfolio Using Fuzzy Linguistic Term Sets

Authors

許慧正

Key Words

生命週期矩陣 ; 模糊集合理論 ; 語意模糊關係 ; Life cycle matrix ; Fuzzy set ; Fuzzy linguistic relations

PublicationName

成功大學資訊管理研究所學位論文

Volume or Term/Year and Month of Publication

2016年

Academic Degree Category

碩士

Advisor

林清河

Content Language

繁體中文

Chinese Abstract

近年來,工業4.0的興起,改變原本的消費環境。物聯網、行動裝置及社群媒體已成為社會主流,資訊傳遞快速且透明化,消費者不再處於資訊模糊的時代。並且,消費者意識抬頭帶動市場生態的改變,企業之間競爭更加激烈,也使得產品生命週期不斷縮短,間接影響產業生命週期的發展。理特管理顧問公司是全球第一家諮詢顧問公司並於1970年提出生命週期矩陣,認為企業的狀態會影響策略制定的方向,而企業狀態可由競爭地位和產業成熟度來判定。 在過去的研究中,學術與業界對產業生命週期的概念已達成共識,但如何判斷產業生命週期和競爭地位至今尚未有完整的評估方式。故本研究嘗試將產業生命週期和競爭地位與模糊集理論做結合,並視為一個多屬性的決策問題,透過過去學者針對此類問題提供的研究方法套入進行量化分析。此外,本研究希望降低整體複雜度使企業在操作上更為簡單,故採用語意表示法作為資料蒐集的形式,並將語意轉為語意模糊表示法,不但增加計算結果的彈性,也達到降低企業操作難度的效果。 本研究採用相似度的計算作為分析方法,透過個案分析來說明使用語意模糊的重要性與對結果的影響,利用生命週期矩陣幫助管理者進行未來決策的制定。除此之外,本研究的量化方式可解決理特管理顧問公司提出生命週期矩陣時所提出的其中一項限制,即當前產業生命週期的判斷是有難度的。

English Abstract

With the rise of Industry 4.0 in recent years, the consumption environment has changed. IoT, mobile devices, and social media have become part of main stream society. This is a new era in which the transfer of information is fast and transparent, and consumers are no longer given blurred information. In addition, consumer awareness has led to changes in the environment of the markets, creating greater competition among businesses. This competition has caused the life cycle of a product to shrink, which has affected the development of the life cycle of an industry. Arthur D. Little, the first management consultancy firm on the globe, introduced the life cycle matrix in 1970. They believed that the state of a firm is influenced by its competitive position and industry maturity, both of which would thus affect the strategy of a firm. In previous studies, a consensus has been established among the academics and industries on the concept of the industry life cycle. However, there has yet to be a holistic evaluation judging an industry’s life cycle and its competitive position. The current study aims at combing industry life cycle, competitive position, and fuzzy theory into a multi-attribute strategic problem and approaches the question with quantitative analysis based on previous research. In addition, in order to reduce the complexity of the theory and to increase its applicability for businesses, linguistic representations are used as the form of data collection. Utilizing semantic fuzzy representations not only increases the flexibility of the calculations but also reduces the difficulty for firms when working with these numbers. In the current study, I adopt similarity calculations for analysis and use case studies to demonstrate the importance of using semantic fuzzy theory and its influence on the results, and then I utilize a life cycle matrix to assist managers in deciding future strategies. Furthermore, the quantitative approach presented in this study would resolve one of the limitations introduced in Arthur D. Little’s life cycle matrix, which is the difficulty of determining an industry life cycle.

Topic Category 管理學院 > 資訊管理研究所
社會科學 > 管理學
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