學位論文
Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/73861
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Item 電子化人力資源資訊系統導入對人力資源部門的影響:一個實證研究(2012) 魏良宇; Matthew, Liang Yu Wei本研究在台灣探索電子化人力資源資訊系統的前因與後果的探究。研究運用便利抽樣從不同的管道蒐集組織層級的回答,研究中共採納182家公司的回答。本研究運用敘述性統計來驗證目前台灣現況的電子化人力資訊系統的運用狀況。更進一步,運用部分最小平方(PLS)以及結構方程式模型更進一步探索電子化人力資源實務以及與其他變數之間的關係。結果顯示電子化人力資源資訊系統前因,諸如人力資源角色的複雜性、工作複雜度或是當作中介的公司資訊能力,皆不成立。另外一方面,不同電子化程度的電子化人力資源資訊系統被此研究證明是可以有效驗證另外兩個被影響的變數,人力資源的策略性以及人力資源部門的職能。詳細的意涵在此研究中有更詳細的討論。Item The Effect of Intellectual Capital on Taiwan Banking Institutions’ Business Performance(2012) 周信甫; Hsin-Fu ChouTransforming into a knowledge-based economy, there is an increasing need for Taiwan to explore how intellectual capital creates value for financial institutions especially when signing MOU in 2009. Thus, this empirical study aims to understand how intellectual capital influences the business performance, specifically in the context of financial institutions in Taiwan. An Intellectual capital questionnaire adapted to measure the intellectual capital components, including human capital, structural capital, customer capital and innovation capital. The population is employees of financial companies in Taiwan. Research samples are collected and the data are analyzed by Partial Least Squares (PLS) and multiple regressions through backward elimination methods. There are two outcomes as follow: Firstly, PLS analysis pointed out that intellectual capital does have significant influence on Taiwan banking institutions’ performance. The positive influence of human capital to structural capital and customer capital, structural capital to customer capital, innovation to structural capital and structural capital and customer capital to business performance are proved to be significant. Secondly, multiple regression results proved intellectual capital’s significant impact on business performance. The outcomes discovered the characteristics of Taiwan banking institutions and pointed out room for the industry’s improvement. Also, it improves the problem of PLS analysis. All the models have high explanatory power over Taiwan banking institutions’ performance. Also, some recommendations for the government, Taiwan financial institutions’ managers, and future researches were provided.