以類神經多層感知模型分析臺灣服務創新績效影響因素

The Study of Service Innovation Performance in Taiwan by Applying Multi-layer Perceptron Model of Neural Network

徐怡(Yi Hsu) ； 賴培廸(Pei-Di Lai)

《Journal of Data Analysis》 7卷1期 (2012/02) Pp. 143-164

https://doi.org/10.6338/JDA.201202_7(1).0008

摘要

臺灣產業結構近年來已轉型為服務型經濟，面對全球化競爭日益激烈；對臺灣服務業而言，競爭實力顯得甚為重要。為了提升臺灣服務業競爭能力，將創新概念注入服務業成為近十幾年來一門新顯學；然而，衡量服務創新成功與否，取決於創新過程中企業所投入之資源是否如期反應在創新績效上。有鑑於此，本研究針對臺灣地區服務業進行問卷調查，運用因素分析找出服務創新與服務創新績效之因素，並透過類神經多層感知模型探討服務創新與服務創新績效間之影響程度。最後藉由本研究之結果，提出「以顧客為導向之服務創新」與「強化服務創新能力」之管理意涵，希冀提供日後企業推動服務創新之參考依據。

關鍵字

服務創新 ； 服務創新績效 ； 類神經網路

並列摘要

In recent years, when the face of global competition becomes stronger over time, the industrial structure of Taiwan has been transformed into an economy based on services. For Taiwan's service industry, the competitive strength in the service sector clearly extremely important. The concept of innovation in the services sector to improve the competitiveness of service industries in Taiwan has become an important knowledge in recent ten years. However, measuring innovation of the service sector is successful or not depends on the resources invested by the company can or can not meet the performance expectations in the innovation process. Because of this, this research conducted in Taiwan's service sector survey, used factor analysis to identify the factors of service innovation and service innovation performance. Besides, through multi-layer perception model of neural network, we investigated the two degrees of influence between of service innovation and service innovation performance. Finally, the results of this study also show the two management implications of the ”customer-oriented service innovation” and ”enhanced service innovation” to provide the companies a reference for promoting service innovation.

並列關鍵字

Service Innovation ； Service Innovation Performance ； Neural Network

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