第五章 結論與建議
第二節 建議
本研究探討了工作熱情、工作-生活平衡與生活滿意度之關聯性，在整 體模式的脈絡中，驗證了工作熱情對於生活滿意度無直接影響，工作熱情 對工作-生活平衡有正面顯著的效益，工作-生活平衡對生活滿意度亦有正面 顯著的效果，更重要的是，工作-生活平衡在工作熱情與生活滿意度之間扮 演了完全中介的角色。
一、 對實務建議
（一）高科技產業管理者宜重視組織成員的工作熱情
工作熱情、工作-生活平衡與生活滿意度三者之間所建構而成的整體模 式為組織管理者可以納為參考的管理方式，亦是培育良好人力資源發展的 基礎，透過工作-生活平衡的機制，工作熱情可以適當地轉化為生活滿意度，
所以建立員工的工作熱情對於組織是重大有意義的方針，創造工作-生活平 衡的環境與任務更是不可或缺的人力資源策略，因為這也間接地讓員工達 到真正的生活滿足與成就感，讓組織成員在心靈上獲得最好的素質，開創 組織與工作者雙贏的絕佳優勢。
（二）高科技產業工程師宜瞭解工作與生活的平衡機制
工作與生活是現代工作者在日常中所面對最頻繁的課題，幾乎所有人都 在兩者當中不斷地循環，時常會有兩者相互衝突與干擾的情事發生，故尋 得工作與生活的平衡顯得相當重要，因為稍不留意就會使得個人的心理狀 態失衡，嚴重影響到所有的事務。高科技產業之工程師應當留意工作負荷 與生活作息，保留適當的自主空間與時間，試圖規劃工作以外的生活安排，
工作之餘也要注重生活品質，唯有工作與生活達到平和的狀態，才是真正 健康的員工，而不是純然為了工作而生存的機器。
生活滿意度代表了每個人在人生中所追求的滿足狀態，同時也說明了生
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活滿意的內涵並不僅止於財務報酬上的獲得，更有目標的達成與生活一致 性的促成，以及對於現今生活不感到迷惑且滿意於目前的生活形態，故身 為管理者除了給予薪資與福利的報酬之外，更要激勵員工使其感覺賦有生 活與生命的意義，如此才能讓員工得到人生真正的滿足感。
二、 研究之建議
（一）對未來工作熱情作更深入與廣泛探究
工作熱情是近年來的新興議題，諸多文獻認為工作熱情凌駕於工作投入 之上，也是員工積極於組織工作本務的良好認知，擁有具備工作熱情的員 工必然是企業的重要人力資源，所以試圖尋找或培養優良工作熱情的工作 者應成為重要的議題，開創一個能使個人在工作中能找出熱情的環境與任 務就顯得格外有意義，通常能為組織帶來莫大的利益。
（二）採多群組比較與複核效化
工作熱情之研究應可擴大於每一個產業之中，並以各種樣本檢驗理論的 強韌性；在工作-生活平衡的觀點中，人們不應只為了生存而工作，必須同 時兼顧非工作領域的身心平衡，後續研究者可從不同的時間點切入觀察與 紀錄，尋找最為有效達到工作-生活平衡的變項，以及滿足此機制所需要的 各種情境與條件；生活滿意理論能以最簡潔的方式解釋每個人對於生活的 滿意認知，在自我評價上擁有良好的解釋力，未來研究亦能同時探究工作 滿意與生活滿意兩者並存之效果，持續開展正向組織管理與人力資源措施 的新領域。
（三）加採質化與個案研究
工作熱情之研究應可從日常觀察與訪談得到更完整的呈現，未來若能以 質化方法或個案研究的方式進行調查，可對於此脈絡有更完整的瞭解與深 入的解析，應可對於正向心理學與人力資源發展提供更完善的理論觀點。
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附錄三 以統計檢定力計算樣本數目之 R 語法
#Computation of minimum sample size for test of fit rmsea0 <- 0.05 #null hypothesized RMSEA
rmseaa <- 0.08 #alternative hypothesized RMSEA d <- 62 #degrees of freedom
alpha <- 0.05 #alpha level desired <- 0.8 #desired power
#The user does not change the following codes
#initialize values pow <- 0.0
n <- 0
#begin loop for finding initial level of n while (pow<desired) {
#begin loop for interval halving foo <- -1
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ncpa <- (newn-1)*d*rmseaa^2 #compute power
if(rmsea0<rmseaa) {
cval <- qchisq(alpha,d,ncp=ncp0,lower.tail=F) pow <- pchisq(cval,d,ncp=ncpa,lower.tail=F) }
else {
cval <- qchisq(1-alpha,d,ncp=ncp0,lower.tail=F) pow <- 1-pchisq(cval,d,ncp=ncpa,lower.tail=F) }
powdiff <- abs(pow-desired) if (pow<desired) {
foo <- 1 }
if (pow>desired) { foo <- -1
} }
minn <- newn