第五章 結論與建議
第四節 未來研究
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第四節 未來研究
本研究旨在研究無所不在科技壓力與情緒勒索之關聯，並會帶來甚麼後果，
總結上述研究結果與研究限制，未來研究方向建議如下：
情境上多樣化
本研究的情境設定在職場上，主要是探討主管與員工之間的關係，然而，情 緒勒索也會發生在像是朋友與朋友，或是長輩與晚輩之間，本研究結果顯示主管 與員工之間，使用通訊軟體將導致更多的情緒勒索，但並不代表朋友與朋友，或 是長輩與晚輩之間也能適用，因此建議未來的研究者可以一一地去探討各種情境。
分職業類別
本研究探討主管與員工之情境，但卻沒有特別鎖定在哪個職業，雖然研究結 果顯示在職場上使用通訊軟體，會導致情緒勒索並降低工作滿意度與提升離職傾 向，但無法確定說每一種職業都適用於本研究結果，因此建議未來研究者可以試 著探討各種職業，並比較出哪些職業會影響哪些不會影響。
增加人物特徵做調節
因為文獻上很少探討無所不在科技壓力與情緒勒索之影響，故本研究主要是 初步探討他們兩者之間有沒有關聯、會不會影響對方，然而，情緒勒索涉及人的 心理與情緒，雖然本研究結果顯示無所不在科技壓力與情緒勒索之間有關連，但 說不定加入人的因素，結果就會不一樣，例如：年紀，不同的年齡對於情緒勒索 說不定就有不同的感受，因此建議未來研究者可以試著加入各種人的因素做為調 節，深入探討無所不在科技壓力與情緒勒索之間的影響。
通訊軟體同步與非同步的應用探討
本研究欲探究無所不在科技壓力是否會造成情緒勒索，情境設定上為使用者 是隨時接收訊息，然而，如果更深入地去探究的話，使用者通訊之間的互動狀況 也有可能是斷斷續續，非即時的，例如：主管透過line 傳送訊息給我，而我可能 是秒讀訊息(同步)來互動，也有可能過了一段時間後才讀訊息(非同步)，這兩種
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情況下使用者所感受到的壓力可能就有所不同，因此建議未來研究者可以將前因 分為同步與非同步兩種情境去研究，並比較哪種情境更容易造成情緒勒索。
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參考文獻 中文部分
1. 1111 人力銀行(2018)。上班族職場適應調查。取自：
https://www.1111.com.tw/News/surveyns_con.asp?ano=113883。
2. ETtoday 新聞雲(2015)。局處群組 LINE 不讀不回，柯文哲：局長要換掉！
取自：https://www.ettoday.net/news/20150204/463002.htm。
3.
周玉涵(2013)。公務人員情緒勒索知覺與離職傾向關聯之探索: 工作壓力
之干擾效果。國立臺北大學企業管理學系研究所碩士論文，未出版，臺
北。4. 周慕姿(2017)。情緒勒索：那些伴侶、親子、職場間，最讓人窒息的相 處。臺北：寶瓶文化。
5. 洪為璽、林建宏與林杰彬(2010)。探討無所不在科技壓力成因與其對工作壓 力之影響。第16 屆資訊管理暨實務研討會，國立雲林科技大學。
6. 陳映羽與王嘉伶(2017)。職場之情緒勒索對第一線員工服務破壞行為之影 響。北商學報, (32), 45-71。
7. 陳禹皓（2015）。組織認同度對員工留任意願之影響－以工作滿意度為中介 變數（未出版之碩士論文）。國立中央大學，桃園市。
8. 黃庭鍾, 張豫立與陳柏宇。(2015)。影響警察人員因應工作壓力相關因素之 研究。嶺東學報, (37), 71-97.
9.
劉仲矩(2012)。顧客知覺員工服務破壞行為之研究:情緒勒索觀點。美容科
技學刊, 9(2), 5-23。
10.
劉仲矩與周玉涵(2016)。公部門人員情緒勒索認知,工作壓力與離職傾向關
聯之研究。人力資源管理學報,16(1), 43-68。
11. 劉宗明與黃德祥(2008)。國中教師人格特質與教學技能之研究。臺北市立
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
教育大學學報,39(2), 1-34。
12. 鄭天澤、陳麗霞、楊亨利、胡正文與鄭閔安(2017).。2017 年台灣寬頻網路 使用調查報告。取自：https://www.twnic.net.tw/doc/twrp/20170721e.pdf。
13. 聯合新聞網(2018)。 line 交辦公務算不算加班？勞動部這麼說。取自：
https://udn.com/news/story/7238/3235812。
14. 謝宛靜(2015)。領導者負向情緒、成員負向情緒與個人創造力間關係之實 驗研究：以情緒承載力與回復力為干擾變數。靜宜大學企業管理學系研究 所碩士論文，未出版，臺中。
15. 羅新興與周慧珍。(2006) 。組織成員知覺主管支持對其離職傾向之影響-探 討工作負荷與成就動機之干擾作用。人力資源管理學報, 6(4), 67-80.
16. 蘋果日報(2014)。首例！通訊軟體加班族過勞死。取自：
https://tw.appledaily.com/new/realtime/20140627/423591/。
英文部分
1. Alegre, I., Mas-Machuca, M., & Berbegal-Mirabent, J. (2016). Antecedents of employee job satisfaction: do they matter?. Journal of Business Research, 69(4), 1390-1395.
2. Andersen, K.V., Fogeigren-Pedersen, A., Varshney, U.(2003). Mobile organizing using information technology (MOBIT). Information Communication and
Society, 6(2), 211-228.
3. Aydogdu, S., & Asikgil, B. (2011). An empirical study of the relationship among job satisfaction, organizational commitment and turnover intention. International
review of management and marketing, 1(3), 43-53.
4. Ayyagari R, Grover V, Purvis R (2011). Technostress: technological antecedents and implications. MIS Quart 5(4):831–858.
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
specific coping strategies among immigrant and later generation college students.
Hispanic Journal of Behavioral Sciences, 9(2), 207-225.
6. Barber, L. K., & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health
Psychology, 20(2), 172.
7. Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887-906.
8. Barrabee , L. (2013). Apps further bolster smartphone usage . The NPD Group Blog . Retrieved from https://www.npdgroupblog.com/apps-further-bolster-smartphone-usage/
9. Boswell, W. R., Olson-Buchanan, J. B., & LePine, M. A. (2004). Relations between stress and work outcomes: The role of felt challenge, job control, and psychological strain. Journal of Vocational Behavior, 64(1), 165-181.
10.
Bowling, N. A., & Eschleman, K. J. (2010). Employee personality as a moderator of the relationships between work stressors and counterproductive work behavior. Journal of occupational health psychology, 15(1), 91.
11. Boyd, N. G., Lewin, J. E., & Sager, J. K. (2009). A model of stress and coping and their influence on individual and organizational outcomes. Journal of
Vocational Behavior, 75(2), 197–211.
12. Britt, T. W., Jennings, K. S., Cheung, J. H., Pury, C. L., Zinzow, H. M., Raymond, M. A., & McFadden, A. C. (2016). Determinants of mental health treatment seeking among soldiers who recognize their problem: implications for high-risk occupations. Work & Stress, 30(4), 318-336.
13. Brod, C. (1984). Technostress: The human cost of the computer revolution.
Addison Wesley Publishing Company.
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
14. Brooks, S., & Califf, C. (2017). Social media-induced technostress: Its impact on the job performance of it professionals and the moderating role of job
characteristics. Computer Networks, 114, 143–153.
15. Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategies: A theoretically based approach. Journal of Personality and Social
Psychology, 56(2), 267–283.
16. Chen, S. Y. (2010). Relations of Machiavellianism with emotional blackmail orientation of salespeople. Procedia-Social and Behavioral Sciences, 5, 294-298.
17. Chen, S., Westman, M., & Hobfoll, S. E. (2015). The commerce and crossover of resources: Resource conservation in the service of resilience. Stress and Health, 31(2), 95-105.
18. Clark, K., & Kalin, S. (1996). Technostressed Out? How to Cope in the Digital Age. Library Journal, 121(13), 30-32.
19. D'Arcy, J., Gupta, A., Tarafdar, M., & Turel, O. (2014). Reflecting on the" Dark Side" of Information Technology Use. CAIS, 35, 5.
20. Dardas, L. A., & Ahmad, M. M. (2015). Coping strategies as mediators and moderators between stress and quality of life among parents of children with autistic disorder. Stress and Health, 31(1), 5-12.
21. Davis, B. C., Hmieleski, K. M., Webb, J. W., & Coombs, J. E. (2017). Funders' positive affective reactions to entrepreneurs' crowdfunding pitches: The
influence of perceived product creativity and entrepreneurial passion. Journal of Business Venturing, 32(1), 90-106.
22. Davis, G.B.(2002). Anytime/anyplace computing and the future of the knowledge work. Communications of the ACM, 45(12), 67–73.
23. Day, A., Paquet, S., Scott, N., & Hambley, L. (2012). Perceived information and
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
communication technology (ICT) demands on employee outcomes: The
moderating effect of organizational ICT support. Journal of occupational health
psychology, 17(4), 473.
24. Deutsch, M., & Coleman, P. (2000). The handbook of conflict resolution: Theory and practice. San Francisco: Jossey-Bass.
25. Edgar, F., & Geare, A. (2005). HRM practice and employee attitudes: Different measures-Different results. Personnel Review, 34(5), 534–549.
26. Ellis, A. (1974). Experience and rationality: The making of a rational-emotive therapist. Psychotherapy: Theory, Research & Practice, 11(3), 194.
27. Feist, G. J. (1998). A meta-analysis of personality in scientific and artistic creativity. Personality and social psychology review, 2(4), 290-309.
28. Fila, M. J., Paik, L. S., Griffeth, R.W., & Allen, D. (2014). Disaggregating job satisfaction: Effects of perceived demands, control, and support. Journal of
Business and Psychology, 29(4), 639–649.
29. Forward, S. (1997). Emotional blackmail. NY: HaperCollins Publishers Inc.
30. Forward, S., Frazier, D., & Newman, C. F. (1997). Emotional blackmail: When the people in your life use fear, obligation, and guilt to manipulate you.
31. Garofalakis, J., and Stefanis, V. (2007). Using RSS feeds for effective mobile web browsing. Universal Access in the Information Society, 6(3), 249-257.
32.
Gaudioso, F., Turel, O., & Galimberti, C. (2015). Explaining work exhaustion from a coping theory perspective: roles of techno-stressors and technology-specific coping strategies. ANNUAL REVIEW OF CYBERTHERAPY AND
TELEMEDICINE 2015, 14.33. Gaudioso, F., Turel, O., & Galimberti, C. (2017). The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
outcomes. Computers in Human Behavior, 69, 189-196.
34. Gayeski, D.M. (2002). Learning Unplugged. American Management
Association, New York, New York.
35. Gebauer, J., Shaw, M.J. (2004). Success factors and impacts of mobile business applications: results from a mobile e-procurement study. International Journal of
Electronic Commerce, 8(3), 19-41.
36. George, J. M., & Zhou, J. (2001). When openness to experience and
conscientiousness are related to creative behavior: an interactional approach.
Journal of applied psychology, 86(3), 513.
37. Goolsby, J. R. (1992). A theory of role stress in boundary spanning positions of marketing organizations. Journal of Academy of Marketing Science, 20, 155–
164.
38. Hatfield, E., Cacioppo, J., & Rapson, R. (1994). Emotional contagion. New York: Cambridge University Press.
39. Henry, J. W., and Stone, W. (1994). A structural equation model of end-user satisfaction with a computer-based medical information system. Information
resources management journal, 7(3), 21-33.
40. Herzberg, A. (2003). Payments and banking with mobile personal devices.
Communications of the ACM, 46(5), 53-58.
41. Hobfoll, S. E. (2001). The influence of culture, community, and the nested‐self in the stress process: advancing conservation of resources theory. Applied
psychology, 50(3), 337-421.
42. Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review
of general psychology, 6(4), 307-324.
43.
Hoboubi, N., Choobineh, A., Ghanavati, F. K., Keshavarzi, S., & Hosseini, A. A.
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
(2017). The impact of job stress and job satisfaction on workforce productivity in an Iranian petrochemical industry. Safety and health at work, 8(1), 67-71.
44. Hoffman, D. L., Novak, T. P., & Venkatesh, A. (2004). Has the Internet become indispensable? Empirical findings and model development. Communications of
the ACM, 47(7), 37-42.
45. Hoppock, R. (1935). Job satisfaction.
46. Hsiao, K. L., Shu, Y., & Huang, T. C. (2017). Exploring the effect of compulsive social app usage on technostress and academic performance: Perspectives from personality traits. Telematics and Informatics, 34(2), 679–690.
47. Huang, J. (2017). The Impact of Affective Events on Employees’ Psychological Well-being: Personality and Servant Leadership as Moderators (Doctoral dissertation, Concordia University).
48. Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites:
Twitter vs. Facebook and the personality predictors of social media usage.
Computers in Human Behavior, 28(2), 561-569.
49. Hung, W. H., Chang, L. M., & Lin, C. H. (2011, July). Managing The Risk Of Overusing Mobile Phones In The Working Environment: A Study Of Ubiquitous Technostress. In PACIS (p. 81).
50.
Hung, W. H., Chen, K., & Lin, C. P. (2015). Does the proactive personality mitigate the adverse effect of technostress on productivity in the mobile environment?. Telematics and Informatics, 32(1), 143-157.
51. Hwang, I., & Cha, O. (2018). Examining technostress creators and role stress as potential threats to employees' information security compliance. Computers in Human Behavior, 81, 282-293.
52. Jarvenpaa, S. L., & Lang, K. R. (2005). Managing the paradoxes of mobile
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
technology. Information systems management, 22(4), 7-23.
53. Jarvenpaa, S.L., Lang, K.R., Takeda, Y., Tuunainen, V.K. (2003). Mobile commerce at crossroads.Communications of the ACM, 46(12), 41–44.
54. Jena, R. K. (2015). Technostress in ICT enabled collaborative learning environment: An empirical study among Indian academician. Computers in
Human Behavior, 51, 1116–1123.
55. Jensen-Campbell, L. A., & Graziano, W. G. (2001). Agreeableness as a moderator of interpersonal conflict. Journal of Personality, 69, 323- 361.
56. Jex, S. M., Bliese, P. D., & Buzzell, S. (2001). The impact of selfefficacy on stressor–strain relations: Coping style as an exploratory mechanism. Journal of
Applied Psychology, 86, 401–409.
57. Joo, Y. J., Lim, K. Y., & Kim, N. H. (2016). The effects of secondary teachers’
technostress on the intention to use technology in South Korea. Computers &
Education, 95, 114-122.
58. Judge, T. A., & Kammeyer-Mueller, J. D. (2012). Job attitudes. Annual review of
psychology, 63, 341-367.
59. Judge, T. A., Bono, J. E., Ilies, R., & Gerhardt, M. W. (2002). Personality and leadership: a qualitative and quantitative review. Journal of applied psychology,
87(4), 765.
60. Karatepe, O. M., & Ngeche, R. N. (2012). Does job embeddedness mediate the effect of work engagement on job outcomes? A study of hotel employees in Cameroon. Journal of Hospitality Marketing & Management, 21, 440-461.
61.
Khan, A., Rehman, H., & Rehman, D. S. U. (2016). An empirical analysis of correlation between technostress and job satisfaction: A case of KPK,
Pakistan. Pakistan Journal of Information Management & Libraries
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
(PJIM&L), 14.
62. Kula, S. (2017). Occupational stress, supervisor support, job satisfaction, and work-related burnout: Perceptions of Turkish National Police (TNP)
members. Police Practice and Research, 18(2), 146-159.
63. La Torre, G., Esposito, A., Sciarra, I., & Chiappetta, M. (2019). Definition, symptoms and risk of techno-stress: a systematic review. International archives
of occupational and environmental health, 92(1), 13-35.
64. Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York, NY: Springer
65. Lee, S. B., Lee, S. C., & Suh, Y. H. (2016). Technostress from mobile
communication and its impact on quality of life and productivity. Total Quality
Management, 27(7), 775–790.
66. Lee, Y. H., & Chelladurai, P. (2018). Emotional intelligence, emotional labor, coach burnout, job satisfaction, and turnover intention in sport leadership.
European Sport Management Quarterly, 18(4), 393-412.
67. LePine, J. A., & Van Dyne, L. (2001). Voice and cooperative behavior as contrasting forms of contextual performance: evidence of differential relationships with big five personality characteristics and cognitive ability.
Journal of applied psychology, 86(2), 326.
68. Lewin, J. E., & Sager, J. K. (2008). Salespeople burnout: A test of the coping-meditational model of social support. The Journal of Personal Selling & Sales
Management, 28(3), 233–239.
69. Lewin, J. E., & Sager, J. K. (2009). An investigation of the influence of coping resources in salespersons’ emotional exhaustion. Industrial Marketing
Management, 38(7), 796–805.
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
70. Liang, T. P., Huang, C. W., Yeh, Y. H., & Lin, B. (2007). Adoption of mobile technology in business: a fit-viability model. Industrial management & data
systems, 107(8), 1154-1169.
71. Lindblom, J., & Thorvald, P. (2017). Manufacturing in the wild–Viewing human-based assembly through the lens of distributed cognition. Production &
Manufacturing Research, 5(1), 57-80.
72. Liu, C. C. (2010). The relationship between employees’ perception of emotional blackmail and their well-being. Procedia-Social and Behavioral Sciences, 5, 299-303.
73. Liu, H. L., & Lo, V. H. (2018). An integrated model of workload, autonomy, burnout, job satisfaction, and turnover intention among Taiwanese reporters.
Asian Journal of Communication, 28(2), 153-169.
74. llisey, A. F., Noblet, A. J., Lamontagne, A. D., & Houdmont, J. (2014). Testing a model of officer intentions to quit: The mediating effects of job stress and job satisfaction. Criminal Justice and Behavior, 41(6), 751–771.
75. Locke, E. A. (1976). The nature and causes of job satisfaction. In M. D. Dunnette (Ed.), Handbook of industrial and organizational psychology. Chicago, IL: Rand McNally.
76. Lu, A. C. C., & Gursoy, D. (2016). Impact of job burnout on satisfaction and turnover intention: do generational differences matter?. Journal of Hospitality &
Tourism Research, 40(2), 210-235.
77. Lu, D. M., Sun, N., Hong, S., Fan, Y. Y., Kong, F. Y., & Li, Q. J. (2015).
Occupational stress and coping strategies among emergency department nurses of China. Archives of psychiatric nursing, 29(4), 208-212.
78. Lucas, R. E., Diener, E., Grob, A., Suh, E. M., & Shao, L. (2000). Cross-cultural
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
evidence for the fundamental features of extraversion. Journal of personality and
social psychology, 79(3), 452.
79. Maier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015). The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use. Information Systems Journal, 25(3), 275-308.
80. Malik, A., Kumra, R., & Srivastava, V. (2013). Determinants of consumer acceptance of m-commerce. South Asian Journal of Management, 20(2), 102.
81. Malladi, R., Agrawal, D.P. (2002). Current and future applications of mobile and wireless networks. Communications of the ACM, 45(10), 144-146.
82. Mallat, N., Rossi, M., Tuunainen, V.K.(2004). Mobile banking services.
Communicates of the ACM, 47(5), 42-46.
83. Masinge, K. (2010). Factors influencing the adoption of mobile banking services at the Bottom of the Pyramid in South Africa (Doctoral dissertation, University of Pretoria).
84. McCrae, R. R., & Costa, P. T. (1985). Updating Norman's" adequacy taxonomy":
Intelligence and personality dimensions in natural language and in
questionnaires. Journal of Personality and Social Psychology, 49(3), 710.
85. McCrae, R. R., & Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social
Psychology, 52(1), 81.
86. McCrae, R. R., & Costa, P. T., Jr. (2003). Personality in adulthood: A Five-Factor Theory perspective. New York, NY: Guilford Press.
87. McCrae, R. R., & John, O. P. (1992). An introduction to the five‐factor model and its applications. Journal of Personality, 60(2), 175-215.
88. McKnight, D. H., Phillips, B., & Hardgrave, B. C. (2009). Which reduces IT
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
turnover intention the most: Workplace characteristics or job characteristics?
Information & Management, 46(3), 167–174.
89. McNaughton, D., & Light, J. (2013). The iPad and mobile technology
revolution: Benefits and challenges for individuals who require augmentative and alternative communication. Augmentative and Alternative Communication,
29(2), 107-116
90. Meyer, J., Allen, N., & Smith, C. (1993). Commitment to organizations and occupations: Extension and test of a three-component conceptualization. Journal
of Applied Psychology, 78, 538–551.
91. Miao, C., Humphrey, R., & Qian, S. (2016). Leader emotional intelligence and subordinate job satisfaction: A meta-analysis of main, mediator, and moderator effects. Personality and Individual Differences, 102, 13–24.
92. Mobley, W. H. (1977). Intermediate linkages in the relationship between job satisfaction and employee turnover. Journal of Applied Psychology, 62(2), 237–
240.
93. Mobley, W. H., Horner, S. O., & Hollingsworth, A. (1978). An evaluation of precursors of hospital employee turnover. Journal of Applied Psychology, 63, 408-414.
94. Nah, F., Siau, K., Sheng, H. (2005). The value of mobile applications: a study on a public utility company. Communications of the ACM, 48(2), 85-90.
95. Newzoo. (2018). Top 50 Countries/Markets by Smartphone Users and Penetration. Retrieved from https://newzoo.com/insights/rankings/top-50-countries-by-smartphone-penetration-and-users/
96. Nimrod, G. (2018). Technostress: measuring a new threat to well-being in later life. Aging & mental health, 22(8), 1086-1093.
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
97. Parks-Leduc, L., Feldman, G., & Bardi, A. (2015). Personality traits and personal values: A meta-analysis. Personality and Social Psychology Review, 19(1), 3-29.
98. Perry, M., O’hara, K., Sellen, A., Brown, B., Harper, R. (2001). Dealing with mobility: understanding access anytime, anywhere. ACM Transaction on
Computer-Human Interaction, 8(4), 323-347.
99. Prosen, M., & Piskar, F. (2015). Job satisfaction of Slovenian hospital nursing workforce. Journal of nursing management, 23(2), 242-251.
100. Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual
development and empirical validation. Information systems research, 19(4), 417-433.
101. Riketta, M. (2008). The causal relation between job attitudes and performance: A meta-analysis of panel studies. Journal of Applied Psychology, 93(2), 472.
102. Robbins, S. P. (2003). Organizational behaviour concepts, controversies, application (8th ed.). New Jersey, USA: Publisher: Prentice-Hall International.
103. Sardzˇoska, E. G., & Tang, T. L. P. (2012). Work-related behavioral intentions in Macedonia: Coping strategies, work environment, love of money, job
satisfaction, and demographic variables. Journal of Business Ethics, 108(3), 373–391.
104. Sarker, S., Wells, J.D.(2003). Understanding mobile handheld device use and adoption. Communications of the ACM, 46(12), 35–40.
105. Sellberg, C., & Susi, T. (2014). Technostress in the office: a distributed cognition perspective on human–technology interaction. Cognition, Technology & Work,
16(2), 187-201.
106. Senf, K., & Liau, A. K. (2013). The effects of positive interventions on happiness
‧ 國
立 政 治 大 學
‧
N a tio na
l C h engchi U ni ve rs it y
and depressive symptoms, with an examination of personality as a moderator. Journal of Happiness Studies, 14(2), 591-612.
107. Sheng, H., Nah, F. F. H., & Siau, K. (2005). Strategic implications of mobile technology: A case study using Value-Focused Thinking. The Journal of
Strategic Information Systems, 14(3), 269-290.
108. Siau, K., Lim, E. P., & Shen, Z. (2001). Mobile commerce: Promises, challenges and research agenda. Journal of Database Management (JDM), 12(3), 4-13.
109. Siau, K., Shen, Z.(2003). Building customer trust in mobile commerce.
Communications of the ACM, 46(4), 91-94.
110. Siau, K., Sheng, H., & Nah, F. F. H. (2004). The value of mobile commerce to customers. SIGHCI 2004 proceedings, 8.
111. Siqueira, V. T. A., & Kurcgant, P. (2012). Job Satisfaction: a quality indicator in
111. Siqueira, V. T. A., & Kurcgant, P. (2012). Job Satisfaction: a quality indicator in