跳到主要內容

臺灣博碩士論文加值系統

(54.224.133.198) 您好!臺灣時間:2022/01/27 03:27
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:曾慧萍
研究生(外文):Hui-Ping Tseng
論文名稱:台灣高科技電子產業員工工作壓力與身心健康之探討:兩個工作壓力模型-Karasek「負荷控制支持」模型與Siegrist「付出回饋失衡」模型-之檢驗
論文名稱(外文):Job Stress and Health Status among Employees of the High-Tech Microelectronic Industry in Taiwan: Evaluation of Two Alternative Job Stress Models-Karasek’s Demand-Control-Support Model and Siegrist’s Effort-Reward Imbalance Model
指導教授:鄭雅文鄭雅文引用關係
指導教授(外文):Yawen Cheng
學位類別:碩士
校院名稱:國立成功大學
系所名稱:公共衛生研究所
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:86
中文關鍵詞:台灣工作壓力負荷控制支持模型付出回饋失衡模型高科技電子產業
外文關鍵詞:TaiwanHigh-Tech Microelectronic IndustryEffort-Reward Imbalance ModelJob StressDemand-Control-Support Model
相關次數:
  • 被引用被引用:155
  • 點閱點閱:12146
  • 評分評分:
  • 下載下載:4166
  • 收藏至我的研究室書目清單書目收藏:15
本研究為探討高科技電子廠中男女性員工工作特質之差異及工作壓力研究主要的兩個理論模型,即負荷控制支持模型(Demand-Control-Support model)與付出回饋失衡模型(Effort-Reward Imbalance model),對台灣高科技電子業員工之適用性及對自覺健康狀態之預測性。以台南科學園區高科技電子廠為研究族群,依兩理論模型為基礎進行半結構式個案訪談,以了解工作壓力源,並依訪談結果設計工作壓力問卷調查。工作特質評估包含負荷控制支持模型中的三個主要因子,即工作控制(job control)、心理負荷量(psychological demands)及職場中的社會支持(work-related social support)與付出回饋失衡模型組成因子:付出回饋比值(Ratio of extrinsic effort and reward)及工作過度投入(Overcommitment)程度。自覺健康狀態以Short Form 36(SF-36)中三個分量表,即活力、心理健康及一般健康,與一個月內身體不適症狀頻率測量;另外亦評估工作滿意度。類別與連續變項之性別差異分別採Chi-square test與t test檢定;SF-36分數及不適症狀之預測因子則以複迴歸分析。結果發現男女性員工在職等上有顯著差異,女性多為技術員,而男性多為專業人員,其工作控制顯著高於女性,其自覺健康狀態各面向皆顯著優於女性。工作特質為低工作控制、高心理負荷、低社會支持、付出回饋失衡及過度工作投入者,其工作滿意度、自評健康較差,發生身體不適症狀的頻率亦較高。本研究發現,合併上述兩個理論模型能大幅提高工作環境因素與個人特質對工作壓力相關疾病之預測性。
This study was carried out to examine gender differences in psychosocial work characteristics in high-technology workers of Taiwan and to examine the predictive power of two alternative job stress models – Karasek’s Demand-Control-Support model and Siegrist’s Effort-Reward Imbalance model – on workers’ self-rated health status and job satisfaction. Our participants were from the Tainan Science-Based Industrial Park. We interviewed with some workers to find out major job stressors. Base on the conceptual framework of the two job stress models, we designed a self-administered questionnaire. Job characteristics (job control, psychological demands, work-related social support, and ratio of extrinsic effort and reward) and a type of personality trait (overcommitment) specified by the two models were used to predict workers’ job satisfaction and health status. Health status was assessed by the frequencies of somatic symptoms, and by the three subscales of the Short-Form 36(SF-36) questionnaire (mental health, vitality, and general health). The majority of men were engineers, managers, and other professionals, while most of the women were assembly line workers. Female workers had lower level of job control and poor health. Multivariate regression models showed that lower job control, higher psychological demands, lower social support at work, effort-reward imbalance and over-commitment were all associated with poor health status and lower job satisfaction. This study showed that combining the two models can substantially increase the predictive power of psychosocial work-related factors on stress-related illness.
總目錄
中文摘要 I
英文摘要 Ⅱ
誌謝 Ⅲ
總目錄 Ⅳ
圖目錄 Ⅵ
表目錄 Ⅶ
總目錄
第一章 研究動機、目的及重要性 1
第二章 文獻查證2
2.1 台灣高科技電子業之發展與勞動力特徵2
2.1.1 產業發展之簡介2
2.1.2 產業結構3
2.1.3 勞動力特徵及結構3
2.1.4 積體電路產業製造環境4
2.2 高科技電子業職業健康問題之文獻回顧:生理性疾病5
2.3 工作壓力理論模型8
2.3.1 工作壓力定義8
2.3.2 工作壓力症狀與疾病9
2.3.3 工作壓力源9
2.3.4 工作壓力模型理論10
2.3.5 性別與工作壓力14
第三章 研究設計15
3.1 文獻回顧15
3.2 個案訪談15
3.3 量表之研發15
3.4 問卷之施行17
3.5 分析方法18
第四章 結果 19
4.1 研究族群人口學、工作特質與健康狀況之質量性描述資料19
4.1.1 質性訪談部分:工作特質19
4.1.2 量性問卷部分:工作特質33
4.1.3 員工之健康狀態34
4.2 量表之信效度35
4.2.1 信度:量表的內部一致性35
4.2.2 內容效度(Content validity)35
4.2.3 建構效度(Construct validity)39
4.3 工作壓力量表對健康狀態之預測性40
第五章 討論 42
5.1 研究族群人口學、工作特質與健康狀況42
5.2 量表之信效度43
5.3 工作壓力量表對健康狀態之預測性43
5.4 研究限制45
5.5 建議46
參考文獻 47
附錄一:職業特質與身心健康調查問卷 52
1. Aronsson G, Rissler A. Psychophysiological stress reactions in female and male urban bus drivers. Journal of Occupational Health Psychology;3:122-9,1998.
2. Berkman L, Kawachi I. Social epidemiology. New York: Oxford University Press;95-117,2000.
3. Bosma H, Marmot MG, Hemingway H, Nicholson AC, Brunner E, Stansfeld SA. Low job control and risk of coronary heart disease in Whitehall II (prospective cohort) study. British Medical Journal;314:558-65,1997.
4. Bosma H, Peter R, Siegrist J, Marmot M. Two alternative job stress models and the risk of coronary heart disease. American Journal of Public Health;88:68-74,1998.
5. Cheng Y, Luh WM, Guo YL. Reliability and validity of the Chinese version of the Job Content Questionnaire (C-JCQ). (manuscript, 2001).
6. de Jonge J, Bosma H, Peter R, Siegrist J. Job strain, effort-reward imbalance and employee well-being: a large-scale cross-sectional study. Social Science & Medicine;50:1317-27,2000.
7. Edelman P. Environmental and workplace contamination in the semiconductor industry: Implication for future health of the workforce and community. Environmental Health Prospectives;86:291-5,1990.
8. Eskenazu B, Gold EB, Lasley BL, Samuels SJ, Hammond SK, Wight S, Schenker MB. Prospective monitoring of early fetal loss and clinical spontaneous abortion among female semiconductor workers. American Journal of Industrial Medicine; 28:833-846,1995.
9. Fuh JL, Wang SJ, Lu SR, Juang KD, Lee SJ. Psychometric Evaluation of a Chinese (Taiwanese) Version of the SF-36 Health Survey Amongst Middle-Aged Women from a Rural Community. Quality of Life Research;9:675-83,2000.
10. Gold EB, Eskenazu B, Hammond SK, Lasley BL, Samuels SJ, Rasor MO, Hines CJ, Overstreet JW, Schenker MB. Prospectively assessed menstrual cycle characteristics in female water-fabrication and nonfabrication semiconductor employees. American Journal of Industrial Medicine;28:799-815,1995.
11. Gold EB, Eskenazu B, Lasley BL, Samuels SJ, Rasor MO, Overstreet JW, Schenker MB. Epidemiologic methods for prospective assessment of menstrual cycle and reproductive characteristics in female semiconductor workers. American Journal of Industrial Medicine;28:783-97,1995.
12. Hallqvist J, Diderichsen F, Theorell T, Reuterwall C, Ahlbon A. and the SHEEP study. Is the effect of job strain on myocardial infarction due to interaction between high psychological demands and low decision latitude. Results from the Stochholm Heart Epidemiology Program(SHEEP). Social Science & Medicine;46:1405-15,1998.
13. Hanson EKS, Schaufeli W, Vrijkotte T, Plomp NH, Godaert GLR. The validity and reliability of the Dutch effort-reward imbalance questionnaire. Journal of Occupational Health Psychology;5(1):142-55,2000.
14. Huang SC, Guo YL, Ke D, Cheng Y. Association of psychological work conditions and self-rated health status in male and female manufacturing workers in Taiwan. (Submitted,2002).
15. Hurrell JJ, Nelson DL, Simmons BL. Measuring job stressors and strains: where we have been, where we are, and where we need to go. Journal of Occupational Health Psychology;3(4):368-89,1998.
16. Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. Journal of Occupational Health Psychology;3:322-55,1998.
17. Karasek RA, Theorell T, Schwartz JE, Schnall PL, Pieper CF, Michela JL. Job characteristics in relation to the prevalence of myocardial infarction in the US Health Examination Survey (HES) and the Health and Nutrition Examination Survey (HANES). American Journal of Public Health;78:910-8,1988.
18. Luo JC John, Hsu KH, Hsieh LL, Wong SJ, Chang MJW. Lung Function and general illness symptoms in a semiconductor manufacturing facility. Journal of occupational and environmental medicine;40(10):895-900,1998.
19. Lundberg U, Frankenhaeuser M. Stress and workload of men and women in high-ranking positions. Journal of Occupational Health Psychology; 4(2):142-51,1999.
20. Marmot MG, Davey Smith G, Stansfeld SA, et al. Health inequalities among British Civil Servants: the Whitehall II study. Lancet;337:1387-93,1991.
21. Marmot M, Wilkinson RG. Social determinants of health. New York: Oxford University Press;105-31,1999.
22. Matthews S, Hertzman C, Ostry A, Power C. Gender, workroles and psychosocial work characteristics as determinants of health. Social Science & Medicine;46(11):1417-24,1998.
23. McCurdy SA, Pocekey D, Hammond SK, Woskie SR, Samuels SJ, Schenker MB. A cross-sectional survey of respiratory and general health outcomes among semiconductor industry workers. American Journal of Industrial Medicine; 28:847-60,1995.
24. Pastides H, Calabrese EJ, Hosmer DW, Harris DR. spontaneous abortion and general illness symptoms among semiconductor manufacturers. Journal of occupational medicine;30(7):543-551,1988.
25. Pocekey D, McCurdy SA, Samuels SJ, Hammond SK, Schenker MB. A cross-sectional study of musculoskeletal symptoms and risk factors in semiconductor workers. American Journal of Industrial Medicine;28:861-71,1995.
26. Pugliesi K. Work and well-being: Gender differences in the psychological consequences of employment. Journal of Health and Social Behavior;36:57-71,1995.
27. Rice P. Stress and health. Pacific Grove: Brooks/Cole Publishing;192-218,1999.
28. Roxburgh S. Gender differences in work and well-being: effects of exposure and vulnerability. Journal of Health and Social Behavior;37:265-77,1996.
29. Samuels SJ, McCurdy SA, Pocekey D, Hammond SK, Missell L, Schenker MB. Fertility history of currently employed male semiconductor workers. American Journal of Industrial Medicine;28:873-82,1995.
30. Schenker MB, Gold EB, Beaumont JJ, Eskenazu B, Hammond SK, Lasley BL, McCurdy SA, Samuels SJ, Saiki CL, Swan SH. Association of spontaneous abortion and other reproductive effects with work in the semiconductor industry. American Journal of Industrial Medicine;28:639-55,1995.
31. Schnall PL, Landsbergis PA, Baker D. Job strain and cardiovascular disease. Annual Review of Public Health;15:381-411,1994.
32. Siegrist J. Adverse health effects of high-effort/low-reward conditions. Journal of Occupational Health Psychology;1:27-41,1996.
33. Siegrist J, Matschinger M, Cremer A, Seidel D. Atherogenic risk in men suffering from occupational stress. Atherosclerosis;69:211-8,1988.
34. Siegrist J, Peter R, Cremer A, Seidel D. Chronic work stress is associated with atherogenic lipid and elevated fibrinogen in middle-aged men. Journal of internal Medicine;242:149-56,1997.
35. Siegrist J, Peter R, Junge A, Cremer P, Seidel D. Low status control, high effort at work and ischemic heart disease: prospective evidence from blue-collar men. Social Science & Medicine;31:1127-34,1990.
36. Theorell T, Karasek RA. Current issues relating to psychosocial job strain and cardiovascular disease research. Journal of Occupational Health Psychology;1:9-26,1996.
37. Tsutsumi a., Kayaba K., Theorell T., Siegrist J. Association between job stress and depression among Japanese employees treatened by job loss in a comparison between two complementary job-stress models. Scandinavian Journal of Work Environmental & Health,27(2):146-53,2001.
38. Vermeulen M, Mustard C. Gender differences in job strain, social support at work, and psychological distress. Journal of Occupational Health Psychology;5(4):428-40,2000.
39. Ware JE. SF-36 health survey update. Spine;25(24):3130-9,2000.
40. Westerberg L, Theorell T. Working conditions and family situation in relation to functional gastrointestinal disorders. The Swedish Dyspepsia Project. Scandinavian Journal of Primary Health Care;15:76-81,1997.
41. Wilkins K, Beaudet MP. Work stress and health. Health Report;10:47-63,1998.
42. 行政院勞工委員會勞工安全衛生研究所. 半導體製造業重複性工作傷害之現場評估與改善. IOSH85-H326,1996.
43. 李開偉、許耀文,新竹科學園區從業人員肌肉骨骼系統傷害症狀分佈調查.勞工安全衛生研究季刊;6(4):21-34,1998.
44. 李開偉、葉文裕、朱振群、陳志勇,半導體製造業累積性工作傷害現況調查. 勞工安全衛生研究季刊;5(1):1-14,1997.
45. 李嘉聖、陳益世,高科技產業特性、工作壓力、工作滿意暨離職傾向之相關性研究:以新竹科學園區高科技廠商研發技術人員為例. 人力資源學報;11:93-116,1999.
46. 林彥輝、葉文裕,半導體業勞工肌肉骨骼傷害調查比較. 勞工安全衛生簡訊;37:10-1,1999.
47. 林妙雀、趙心潔,激勵性報酬、員工屬性與工作滿意度之研究--以臺灣高科技產業為實證對象. 亞太管理評論;5(1):53-74,2000.
48. 林銘貴,我國半導體工業發展現況與展望. 工程;66(5):27-42,1993.
49. 徐進鈺,流動的鑲嵌:新竹科學工業園區的勞動力市場與高科技發展. 台灣社會研究季刊;35:75-118,1999.
50. 陳志勇、林彥輝,半導體業人因工程潛在危害探討. 勞工安全衛生簡訊;24:7-8,1997.
51. 陸洛,工作壓力之歷程:理論與研究的對話. 中華心理衛生學刊;10(4):9-51,1995.
52. 陳瑋玲,我國晶圓代工業績效評估制度之個案研究. 台北商專學報;52:198-223,1999.
53. 黃英忠、黃瓊慧,影響中年職業婦女之工作投入認知程度及相關因素之研究-以高雄地區製造業及服務業為例. 輔仁管理評論;4(2):21-62,1997.
54. 楊明仁、何啟功、蘇以青、楊美賞,工作壓力、社會支持與心理健康:以重工業工廠男性作業員工為例. 高雄醫學科學雜誌;13:332-41,1997.
55. 溫金豐、崔來意,高科技公司女性專業人員工作-家庭衝突及工作倦怠之研究:社會支持的效應. 管理評論;20(4):65-91,2001.
56. 楊茹憶,職場中的性別歧視與性騷擾. 福利社會;71:23-31,1999.
57. 楊榮強,臺灣半導體IC工業發展概況. 產業經濟;140:15-36,1993.
58. 蔡淑芬,積體電路(IC)工業現況與發展趨勢. 產業經濟;240:1-32,2001.
59. 蕭淑銖、陳秋蓉、杜宗禮、郭育良,電子業從業人員職業性肌肉骨骼不適之盛行率與危險因子調查. 中華職業醫學雜誌;3(3):111-8,1996.
60. 蕭淑銖、許漢銘、謝孟穎、杜宗禮、陳秋蓉、郭育良,電子業從業人員職業性手部皮膚疾病之盛行率與相關因子調查. 勞工安全衛生研究季刊;4(4):41-51,1996.
61. 嚴祥鸞,工作場所性別文化的形塑. 福利社會;59:18-22, 1997.
62. 顧瑩華,對外投資與產業結構調整:台灣電子業的實證研究. 經濟論文叢
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
1. 60. 蕭淑銖、許漢銘、謝孟穎、杜宗禮、陳秋蓉、郭育良,電子業從業人員職業性手部皮膚疾病之盛行率與相關因子調查. 勞工安全衛生研究季刊;4(4):41-51,1996.
2. 57. 楊榮強,臺灣半導體IC工業發展概況. 產業經濟;140:15-36,1993.
3. 56. 楊茹憶,職場中的性別歧視與性騷擾. 福利社會;71:23-31,1999.
4. 55. 溫金豐、崔來意,高科技公司女性專業人員工作-家庭衝突及工作倦怠之研究:社會支持的效應. 管理評論;20(4):65-91,2001.
5. 53. 黃英忠、黃瓊慧,影響中年職業婦女之工作投入認知程度及相關因素之研究-以高雄地區製造業及服務業為例. 輔仁管理評論;4(2):21-62,1997.
6. 58. 蔡淑芬,積體電路(IC)工業現況與發展趨勢. 產業經濟;240:1-32,2001.
7. 43. 李開偉、許耀文,新竹科學園區從業人員肌肉骨骼系統傷害症狀分佈調查.勞工安全衛生研究季刊;6(4):21-34,1998.
8. 59. 蕭淑銖、陳秋蓉、杜宗禮、郭育良,電子業從業人員職業性肌肉骨骼不適之盛行率與危險因子調查. 中華職業醫學雜誌;3(3):111-8,1996.
9. 44. 李開偉、葉文裕、朱振群、陳志勇,半導體製造業累積性工作傷害現況調查. 勞工安全衛生研究季刊;5(1):1-14,1997.
10. 50. 陳志勇、林彥輝,半導體業人因工程潛在危害探討. 勞工安全衛生簡訊;24:7-8,1997.
11. 48. 林銘貴,我國半導體工業發展現況與展望. 工程;66(5):27-42,1993.
12. 47. 林妙雀、趙心潔,激勵性報酬、員工屬性與工作滿意度之研究--以臺灣高科技產業為實證對象. 亞太管理評論;5(1):53-74,2000.
13. 45. 李嘉聖、陳益世,高科技產業特性、工作壓力、工作滿意暨離職傾向之相關性研究:以新竹科學園區高科技廠商研發技術人員為例. 人力資源學報;11:93-116,1999.
14. 51. 陸洛,工作壓力之歷程:理論與研究的對話. 中華心理衛生學刊;10(4):9-51,1995.
15. 46. 林彥輝、葉文裕,半導體業勞工肌肉骨骼傷害調查比較. 勞工安全衛生簡訊;37:10-1,1999.