Publication:

造紙業職工休閒行為、休閒阻礙及休閒利益

本研究旨在探討臺灣造紙廠職工，其參與休閒之行為、休閒阻礙及休閒利益間之關係。採立意抽樣抽取永豐餘工業用紙股份有限公司之全體職工為調查對象。樣本職工總人數有385位，有效問卷回收率73個百本分比（248份）。研究工具包括休閒行為量表（朱明謙，2001）、休閒利益量表、休閒阻礙量表（鐘瓊珠，1998）等。分別以描述性統計、卡方檢定交叉表、單因子多變量分析、典型相關、Duncan事後比較等方法進行資料之分析與整理。結果發現：職工每月從事各類型休閒活動時間是有差異的，有高比例之職工不參與技藝性及社交性休閒活動，整體來說從事休閒活動時間是高於高科技業職工。休閒花費方面，每月除從事體育性休閒活動花費較少外，其他型休閒活動花費大多集中於1,001-4,000元，休閒同伴以家人為最多。單因子多變量分析在性別、學歷、班別、年齡、職務、薪資六項對休閒行為（時間、花費）是達顯著差異水準，在班別、職務、薪資三項對休閒三利益是達顯著差異水準，在學歷、班別、職務、薪資四項對休閒三阻礙是達顯著差異水準。典型相關分析中可利用休閒參與時間及花費預測休閒利益3.3個百分比，休閒阻礙2.6個百分比，兩者都以休閒時間預測力高於休閒花費。基於上述發現，本研究針對活動主辦單位、廠方及後續研究之方向，提出數點建議，如根據人口變項特性規劃適合之活動，加強休閒意識，增加活動挑戰性、趣味性，輔導及建立相關社團，多與社區活動相結合及尋找特約廠商或補助器材或門票措施，期望能提升職工休閒參與、降低休閒阻礙、增加休閒利益。

The purpose of this study was to explore the relationship between the benefits and constraint of leisure behavior. Purposive sampling was operated, 385 employees in the Taiwan Yuen Foong Yu Packaging INC are taken. Leisure Behavior Mmeasurement Ttable (Jhu,2001) , Leisure Constraints Measurement Table, Leisure Benefit Measurement Table (Jhong,1998), were three instructments., effective return rate for the questionnaires was 73%. The results were analyzed by Chi-Square, one-way MANOVA, Duncan Post Hoc and canonical correlation analysi and reveled these samples spend different amount of time in doing leisure activities. In general, they spend more time in leisure activities then employees in high-tech industries. Money spent in sport activities were less than spent in other recreational activities. Monthly expense for the majority of the samples from 1，000 to 4，000 New Taiwan dollars with their families members. Significant differences were found in the factor of gender, education level, work shift, age, position, and income level were statistically different in response to the leisure behavior. Factors of work shift, position and income level were statistically different in response to the leisure benefits. Factors of education level, work shift, position and income level were statistically different in response to the leisure constraints. Available time and expense of doing leisure activities predicts the benefits at 3.3%, where the leisure time is prior to the leisure expense. We can also use leisure time and expense to predict the leisure constraints at 2.6%, where the leisure time is prior to the leisure expense. Base on the previous discovery, this study proposes several suggestions.Such as, suggesting the authority to design appropriate programs according to the characteristic of population variance; to magnify the challenge and recreation of activities; to assist and establish correlated corporations; to associate with the activities held by community groups, and attract sponsors to support equipments or recreational coupons, to the activity authorities, the employers, and the sequential studies, in order to promote the participation of leisure activities of the employees, to eliminate the constraints of taking leisure activities and to improve the benefits of leisure activities.