知識經濟指標之構念模型與跨群分析

Construct Model and Cross Group Analysis of Knowledge-Based Economy Indicators

陳智凱(Chih-Kai Chen)

《實踐通識論叢》 3期 (2005/01) Pp. 112-148

https://doi.org/10.7041/SCJGE.200501.0112

摘要

近來各主要研究機構與國家，紛紛建構知識經濟衡量指標。然而不同衡量單位之指標建構有時差異頗大，本研究旨在建構一套衡量知識經濟特質之總體模型，本文將指標分為五大構面：企業經營環境、創新系統、人力資源發展、資訊通訊科技、績效指標等。首先利用探索性因素分析(EFA)簡化龐雜指標，隨後進行二階驗證性因素分析(SCFA)，並且利用跨群因素恆等性分析，檢驗跨群因素結構之穩定性，同時估計跨群平均數結構模型之差異情形。總體而言，本文主要發現及重要結論如下：總體知識經濟構念模型之影響力排序，分別為資訊通訊科技、企業經營環境，人力資源系統、創新系統、績效指標。至於跨群因素恆等性檢定，透過相同因素結構模型，測量高低知識群是一個可以接受的方式；而在跨群平均數結構檢定方面，增加平均數及截距向量之後，整體模型適合度反而提高，並且未改變原來CFA之模型結構。

關鍵字

知識經濟 ； 線性結構模型 ； 因素恆等性 ； 平均數結構檢定

並列摘要

Knowledge-Based Economy (KBE) was recently important issue of global competition. But numerous world KBE Scorecards (i.e., APEC, OECD and World Bank) still retained differences in terms of country ranking. The purpose of this study was to apply confirmatory factor analysis to decompose variations in KBE assessment into three sources, Likewise, to investigate the construct model of KBE. The data was 2002 World Development Indicators CD-Rom published by World Bank. Our approach was based on exploratory factor analysis, second order CFA and cross-group invariance test. Finally, our study concluded that, in order to construct the model of KBE, one need to look into the essentiality of information infrastructure, environment factors, education and human resources, innovation system factors together. The cross group factor invariance analysis and mean structure test. It was found that the factor structure of higher KBE cluster was similar to the lower KBE cluster, but better than in average performance.

並列關鍵字

Knowledge-Based Economy KBE ； LISREL ； Factorial Invariance ； Mean Structure Test

參考文獻

Adam Smith(1776).(An Inquiry into the Nature and Causes of the Wealth of Nations).

APEC(2000).(Towards Knowledge Based Economy in APEC).

Australia Department of Industry, Scienece and Resources-Knowledge-Based Economy Branch(2000).(Knowledge-Based Activities: Selectted Indicators).

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Bagozzi, R. P.,Yi, Y.,Phillips, L. W(1991).Assessing construct validity in organizational research.Administrative Science Quarterly.36,421-458.