|Abstract: || 本研究旨在透過計畫行為理論的模式，探討W公司壽險業務人員使用學習網的行為意圖，研究採問卷調查法，共回收有效問卷1,989份。回收數據以獨立樣本t檢定及單因子變異數分析，來檢測不同背景變項（包括：性別、年齡、學歷、年資、職位）之壽險業務人員對使用學習網之行為態度、主觀規範、知覺行為控制，及行為意圖之差異程度；以皮爾森積差相關及逐步迴歸分析，來檢測壽險業務人員對使用學習網之行為態度、主觀規範、知覺行為控制對使用學習網之行為意圖的預測力。研究結果發現：|
The present study aims to investigate employees’ intention of using a corporate learning management system (LMS) at W Insurance Company. The Theory of Planned Behavior proposed by Ajzen in 1991 was adopted to analyze employees’ behavioral intention. It is a survey research and a questionnaire was used to collect data. A total of 1,989 valid questionnaires were collected and t-test, One-Way ANOVA , Pearson correlation as well as Stepwise Regression Analysis were applied to examine the effect of personal factors (including gender, age, education background, years of work experience, position level) and the predictive power of attitude toward using LMS, subjective norm and perceived behavior control on employees’ intention using LMS. The findings are:
1.Employees’ “education background”has a significant effect on “attitude toward using LMS” and “subjective norm concerning using LMS”.
2.Employees’ “years of work experience”has significant effect on “attitude toward using LMS”, “subjective norm concerning using LMS”, as well as “perceived behavioral control”.
3.“Behavioral belief” and “outcome evaluation” have significant predictive power toward “attitude toward using LMS”. “Outcome evaluation” has the strongest predictive power.
4.“Normative belief” and “motivation to comply” have significant predictive power toward “subjective Norm concerning using LMS”. “Motivation to comply” has the strongest predictive power..
5.“Control beliefs” and “perceived facilitation” have significant predictive power toward “perceived behavioral control”. “Perceived Facilitation” has the strongest predictive power.
6.“Attitude toward using LMS”, “subjective norm concerning using LMS”, and “perceived behavioral control” have significant predictive power toward employees’ intention of using LMS. “Perceived behavioral control” has the strongest predictive power.
Based on the findings, for future diffusion of corporate LMS, the study suggests, first of all, strengthen employees’ positive attitudes toward using LMS as well as their skills of using LMS in order to enhance their understanding and adoption of such system. Futhermore, it is strongly recommended that an online training program is installed to allow employees to log on and learn how to use LMS at the times of their convenience. In addition, seeking management support is crucial so that the management is able to encourage employees to utilize the system as well as track the employees’ leanring records in order to provide construcitive feedback. All of them ultimately result in better utilization of LMS in a corporate setting.