員工滿意度調查之模式建構與運用－以高科技公司為例

The Establishment and Use of a New Model for Measuring Employee Satisfaction: Case Study of a High-Tech Company

10.6210/JNTNULL.2006.51.01

楊錦章(King-Jang Yang)；楊錦洲(Ching-Chow Yang)；葉子明(Tsu-Ming Yeh)

改善係數 ； 員工期望 ； 員工認知 ； 員工滿意度 ； improvement index ； employee expectation ； employee perception ； employee satisfaction

師大學報：人文與社會科學類

51卷1&2期（2006 / 10 / 01）

1 - 21

繁體中文

員工是決定公司營運績效的最重要關鍵因素。員工滿意度調查以往被企業界所忽略，但近年來已逐漸受到重視。然而只做員工滿意度調查是不夠的，如能同時進行重要度調查，則企業不但可由重要度調查的分析中瞭解到員工的需求，且藉由滿意度衡量值與重要度衡量值的比較中找到企業迫切需要改善之項目。本研究仿照SERVQUAL之調查方式建構了衡量員工滿意度的重要模式-EMPLSATI。透過EMPLSATI進行調查，可瞭解到員工對於各項需求之期望程度，及實際感受程度。且由EMPLSATI衡量值亦可考量所欲改善之項目。此外，本研究亦同時進行傳統的員工滿意度調查及重要度調查，並針對滿意度調查、重要度調查及EMPLSATI調查做了相關統計分析與比較，結果顯示重要度衡量值與期望度衡量值是有些差別。

Its employees are a company's most important resource for the achieving of excellence. Therefore industries pay much attention to the assessment of employee satisfaction. But only to assess employee satisfaction is not enough. If firms have a scale that can measure not only employee's satisfaction with regard to various items but also the relative importance, to employees, of these various items, then they not only can understand their employees' requirements from the analytic results of the ”importance” survey, but can also determine where to make improvements from a comparison between the degree of importance degree and the satisfaction level. In this project, therefore, we developed a measurement model of employee satisfaction by imitating the SERVQUAL model: we call it EMPLSATI. If we conduct an evaluation of employee satisfaction by using the EMPLSATI model, then we can understand the employees' requirements in terms of both real perceptions and (perhaps unrealistic) expectations.. From the analytic results of the EMPLSATI survey, the items to be improved can also be verified. We also conducted simultaneous surveys of ”satisfaction” and ”importance,” using EMPLSATI, for a high-tech company in Taiwan. From statistical analyses and comparisons, we found a few differences between our evaluation results and those of McDougall & Leuesque (1992) and Comm & Mathaisel (2000), who thought that the evaluation of degree of expectation could be replaced by that of degree of importance.

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