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Kumar, Pardeep
- A Study of Techno Stress in Relation to Job Satisfaction, Job Performance and Mental Health Among IT Professionals
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1 Department of Psychology, Lovely Professional University, Jalandhar, Punjab, IN
2 Department of Business, Lovely Professional University, Jalandhar, Punjab, IN
1 Department of Psychology, Lovely Professional University, Jalandhar, Punjab, IN
2 Department of Business, Lovely Professional University, Jalandhar, Punjab, IN
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International Journal of Education and Management Studies, Vol 7, No 3 (2017), Pagination: 403-407Abstract
In the present era, individuals are always in a race of grabbing opportunities for growth, looking for demands and to fulfill those demands they face challenges at their workplaces. The demands sometimes work as the stressors and it produces a stress for an individual. A sample of 149 (n=149) IT professionals were taken from different organizations within tricity, that is, Chandigarh, Panchkula, and Mohali. Four tools namely, Technostress by Ragu-Nathan and Ragu-Nathan (2002) Job Satisfaction Instrument by Mishra, Tiwari, and Pandey (1977) Job Performance Questionnaire by Shokrkon and Arshadi (1990) and Mental Health Inventory by Jagdish and Srivastava (1996) were administered on the sample for the data collection. The findings of the present study have statistically analyzed the data by using correlation, t-test and regression. The t-test has shown a significant difference in technostress (t=2.070,0.05 level) and females found to have more technostress than males. There is a significant difference in mental health(t=2.573,0.05 level) where males are found to have good mental health than females. The result has also shown a significant and negative correlation between technostress and job satisfaction (r=0.255, 0.01 level) and also a negatively significant correlation between technostress and job performance (r=0.333, 0.01 level). The regression has shown a low level of technostress predicting job satisfaction (R square=6.5%),job performance (R square=ll.l%)and mental health(R square=2.2%).Keywords
Technostress, Job Satisfaction, Job Performance, Mental Health, IT Professionals.References
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- Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35, 831-858.
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- Campbell, J. (1990). Modeling the performance prediction problem in industrial and organizational psychology In M. Dunnette and L. Hough (Eds.), Handbook of industrial and organizational psychology (pp. 686-707). Palo Alto, CA: Consulting Psychologists Press.
- Cramer, W. (1995). The mental health of fourth nine economically privileged children. Journal of Education Sociology, 2(2), 93-103.
- Hales, D., & Hales, R E. (1995). Caring for the mind: The comprehensive guide to mental health. NewYork: Bantam Books.
- Jagdish, D., & Srivastava, A. K. (1996). Mental health inventory. Manovaigyanik Parikchhan Sansthan, Chawkaghat, Varanasi,UP.
- Judge, T A., & Church, A. H. (2000). Job satisfaction: Research and practice. In C.L. Cooper and E. A. Locke (Eds.), Industrial and organizational psychology: Linking theory with practice (pp. 166-198). Oxford, UK: Blackwell.
- Locke, E. A. (1976). The nature and causes of job satisfaction. In M.D. Dunnette (Ed.), Handbook of industrial and organizational psychology (pp. 1297-1349). Chicago, IL:Rand McNally
- Mishra,R.S.,Tiwari,M.,& Pandey,D.N. (1977). Job satisfaction instrument. Published by Agra Psychological Research Cell, Agra.
- Rabia, L, Krishna, L., & Sami (2010). Impact of electronic services on users: A study Italian Journal of Library Archives and Information Science, 1(1), 63-86.
- Raftar,M.(I998). Technostress takes toll on internet users. Akron Beacon Journal, D8.
- Ragu-Nathan, B., Ragu-Nathan, TS., & Tu, Q. (2002). A large-scale multinational investigation of technostress and its impact on information. Technology (IT) workforce productivity. Research proposal submitted to IT Research division of the US National Science Foundation.
- Salanova, M., & Schaufeli, W.B. (2000). Exposure to information technology and its relation to burnout. Behaviour and Information Technology, 19, 385-392.
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- Massive Open Online Courses and Modern Education
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Authors
Affiliations
1 Department of Journalism and Mass Communication, Jagan Nath University, Bahadurgarh, Haryana, IN
2 Department of Education, Jagan Nath University, Bahadurgarh, Haryana, IN
1 Department of Journalism and Mass Communication, Jagan Nath University, Bahadurgarh, Haryana, IN
2 Department of Education, Jagan Nath University, Bahadurgarh, Haryana, IN
Source
International Journal of Education and Management Studies, Vol 7, No 3 (2017), Pagination: 422-424Abstract
Developments in information and communication technology along with distance education applications have changed the thinking of educators. Today, especially with the help of web technologies, very rich learning environments and materials are being created. In addition, the constantly growing and transforming structure of knowledge influences the learning mechanism of students and the role of teachers from top to bottom, pushing educational institutions and educational researches into new pursuits. In the most basic definition, MOOCs are online education platforms accessed for free by great masses. Online courses taught by elite academics in elite universities draw a lot of interest, and provide a complete distance learning environment through assignments, presentations, videos and other course materials. As one of the most interesting recent developments among distance education researchers, there is an undoubted expectation that MOOCs will revolutionize the operation of education in the future. This study defines MOOCs, interprets their emergence, interpretations are made regarding Its role today and future tendencies, education and various recommendations are provided regarding future development.Keywords
MOOC, Online, Modern Education, Technologies, Transformation.References
- Conole, G. (2013). MOOCs as disruptive technologies: Strategies for enhancing the learner experience and quality of MOOCs Retrieved from http://www.um.es/ead/red/39/conole.
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- Mclnemey, et al. (2009). Combining social network analysis and sentiment analysis to explore the potential for online Radicalisation by Lina Mcinerney et al. Published in Social Network Analysis and Mining. ASONAM'0
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- Impact of Social Media on Agriculture as Perceived by Extension Personnel
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Authors
Affiliations
1 Extension Education Institute, Nilokheri, CCS Haryana Agricultural University, Nilokheri, Haryana, IN
2 Institute of Mass Communication & Media Technology, Kurukshetra University, Kurukshetra, Haryana, IN
1 Extension Education Institute, Nilokheri, CCS Haryana Agricultural University, Nilokheri, Haryana, IN
2 Institute of Mass Communication & Media Technology, Kurukshetra University, Kurukshetra, Haryana, IN