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Meymandpour, Rahil
- A Study of Personality Traits, viz., Extraversion and Introversion on Telecommuters' Burnout
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1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
2 Department of Biostatistics, Shiraz University of Medical Sciences, Shiraz, IR
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
2 Department of Biostatistics, Shiraz University of Medical Sciences, Shiraz, IR
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Telecom Business Review, Vol 10, No 1 (2017), Pagination: 1-7Abstract
In this study with regard to employees' personality types, namely, extroverts and introverts based on Jung's typology Model, it is targeted to demonstrate which group has more congruencies to the features of telecommuting to experience less burnout result from the qualities of this type of workplace. Besides, the model of this study is inspired by person-environment fit theory. The samples were 86 females and 130 males from Ministry of Cooperatives, Labour and Social Welfare of Iran. The teleworking burnout and personality questionnaires with 28 statements for gathering data; in addition, SPSS 16 and Lisrel 8.8 for descriptive and inferential statistics were applied. From given data, it was obvious there was a correlation between extraversion and burnout with correlation rate of 0.55, whereas introversion had zero effect on burnout with correlation rate of -0.13. It can be concluded introverted employees can face stresses resulting from telecommunication more easily than extroverted ones regarding differences between these two characteristics.Keywords
Extraversion-Introversion Personality Traits, Telecommunication, Burnout.References
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- Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing MI. Structural Equation Modeling, 9, 235-55.
- Ellison, N. B. (1999). Social impacts: New perspectives on telework. Social Science Computer Review, 17(3), 338-356.
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- George, J. M. (1992). The role of personality in organizational life: Issues and evidence. Journal of Management, 18(2), 185-213.
- Hannay, M. (2016). Telecommuting: using personality to select candidates for alternative work arrangements. Journal of Management and Marketing Research, 20, 1-12.
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- Martino, V. D., & Wirth, L. (1990). Telework: A new way of working and living. International Labour Review, 129(5), 529-554.
- Maslach, C., & Jackson, S.E. 1981. The measurement of experienced burnout. Journal of Occupational Behaviour, 2(2), 99-113.
- Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annu. Rev. Psychol, 52, 397-422.
- McKenna, K. Y. A., Green, A. S., & Gleason, M. J. (2002). Relationship formation on the Internet: What's the big attraction? Journal of Social Issues, 58(1), 9-32.
- Moss, M., & Carey, J. (1994). Telecommuting for individual and organizations. Annual Review of Communications. International Engineering Consortium, 47, 324-329.
- Nilles, J. M., Carlson, F. R., Jr., Gray, P., & Hanneman, G. J. (1976). The telecommunications-transportation trade off: Options for tomorrow. New York: Wiley.
- Novaco, R. W., & Gonzalez, O. (2009). Commuting and well-being. In Y. Amichai-Hamburger (Ed.), Technology and well-being (pp. 174-205). Cambridge University Press.
- Peters, P., Tijdens, K., & Wetzels, C. (2001). Factors in employees' telecommuting opportunities, preferences and practices. Research Paper #8, Department of sociology/ICS, Utrecht University.
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- Van den Broeck, A., Vansteenkiste, M., De Witte, H., & Lens, W. 2008. Explaining the relationships between job characteristics, burnout and engagement: The role of basic psychological need satisfaction. Work and Stress, 22(3), 277-294.
- Whitehead, M. (1999). Churning questions (call centres). People Management, 5(19), 46-48.
- Wilson, D. J., & Doolabh, A. (1992). Reliability, factorial validity and equivalence of several forms of the Eysenck personality inventory/questionnaire in Zimbabwe. Personality and Individual Differences, 13(6), 637-643.
- An Exploration of Enhancing Adoption and Agility in Technological Changes
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1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
Journal of Organization and Human Behaviour, Vol 6, No 3 (2017), Pagination: 15-20Abstract
In the present paper, the optimal way of increasing employee’s adoption and agility in technological changes and the proper designed strategies suggested by scholars to managers as policy makers to manipulate these technological changes and develop the foremost approach to control unexpected changes in companies are explored. After investigating related works and scrutinising numerous approaches surrounding managing technological changes; it is perceived a successful technological change management depends, to a great extent, on employees’ capabilities to be more adopted and agile in implementing new technologies satisfactorily. Since employees play the main role in accomplishing technological tasks, they should possess skills related to those new technologies. As keeping regular employees has some obstacles mentioned in the following; the optimal option of having skilled staff with more adoption and agility in technological changes can be produced through contingent workforce system in the light of vintage human capital model in this study. Besides, technology diffusion theory is considered marginally in this paper to manifest the presence of employees’ adoption and agility in technological changes.Keywords
Technological Change, Adoption, Agility, Contingent Workforce, Technology Diffusion, Vintage Human Capital Model.References
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- Study of Expectancy Motivation in IT Developers
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Authors
Affiliations
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
Telecom Business Review, Vol 11, No 1 (2018), Pagination: 6-11Abstract
The aim of the present work is to study the subscales of motivation namely expectancy, performance and rewards on the base of Vroom’s expectancy theory of motivation. This study assumes there is a causal relationship between expectancy, performance, and rewards as the subscales of motivation. Then, the expectancy motivation questionnaire is formed and distributed among 90 IT developers in 90 IT companies in Pune-India. The findings show there is a collinearity of the subscales of motivation (expectancy, performance, and rewards). Further, respondents mostly value training program among the reward categories assigned to IT developers (i.e. monetary, training and family facilities and emotional encouragement). It assumes that due to constant technological changes needing updated knowledge and skills, they prefer to improve their job abilities through training programs to increase their human capital to be upgraded for further job opportunities. Thus, their expectancy toward their abilities of fulfilling tasks would increase leading to the repeat of the motivation cycle. Shortly, the results illustrate a misfit model due to the collinearity of the subscales in this study. However, expectancy shows a positive effect on rewards, performance shows an inverse effect on rewards. On the other hand, the findings show IT developers prefer training program rather than other reward categories to increase their expectation toward job performance to accomplish the tasks satisfactorily. Then according to well-done performance, IT developers would value the rewards assigned to them.Keywords
Vroom’s Theory, Expectancy, Performance, Rewards.References
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- A Comparison Between Fresh and Old Employees’ Adoption and Agility in Technological Changes
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Authors
Affiliations
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
Source
OPUS: HR Journal, Vol 9, No 1 (2018), Pagination: 1-15Abstract
The aim of this study is to compare fresh and old employees’ adoption and agility in technological changes according to their vintage-specific human capital. It is inquired that who are more adopted and agile in technological changes since fresh employees have updated skills and education related to new vintage and old employees have obsolescent skills related to old vintage. Therefore, this study assumes that whether fresh employees with updated skills are more adopted and agile in technological changes or old employees with obsolescent experience. Two questionnaires about adoption and agility are distributed among 324 top level managers in IT companies in Pune-India. In this perception study, the respondents are asked for filling the questionnaires according to their opinion about their fresh and old employees’ adoption and agility in technological changes. The data analyzed through Wilcoxon Signed Ranks Test show there is a significant difference between fresh and old employees’ adoption and agility in technological changes. It can be inferred that fresh and old employees’ adoption and agility are needed for a satisfactory technological change. Since both of their vintage-specific human capital is complementary to each other to have an optimal technological change.Keywords
Adoption, Agility, Vintage-Specific Human Capital, Technological Change.References
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- A Study of Collective-Work Approach on Perceived Creativity for Enhancing Leadership Qualities in IT Companies
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Authors
Affiliations
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
2 Department of Biostatistics, Shiraz University of Medical Sciences, Shiraz, IR
1 Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
2 Department of Biostatistics, Shiraz University of Medical Sciences, Shiraz, IR
Source
Telecom Business Review, Vol 12, No 1 (2019), Pagination: 11-17Abstract
The present work aims to examine the effect of collective-work approach on creativity for improving leadership qualities in an unstructured decision-making process especially in uncertainty of IT sections. Perusing related studies surrounding the current issue, it is realized managers can involve team setting policy in developing options stage of a non-programmed decision-making process since the secondary data indicate collective work can elevate creativity sources. Besides, creativity is considered as a moderator for reinforcing leadership attributes. While these qualities enhance leadership performance enabling managers to detect the optimum options when they encounter organizational chaos. Accordingly, a model of an unstructured decisionmaking process is hypothesized in which team-setting is considered as a predictor variable for increasing creativity sources which are recognized as moderators. Then, leadership qualities crenellated by creativity are recognized as a criterion variable for promoting leadership performance. So, the primary data are collected through 38-statements questionnaires involving collective work, creativity and leadership qualities from 86 IT managers in Pune-India being ready to approach collective work policy in their unstructured decision-making. Through correlation, regression analysis and Durbin-Watson test, it is found there is a positive relationship between the variables. The tests between-subjects effects and SEM show the predictor variables have significant interaction with the criterion variables. Besides, ANOVA illustrates there is a significant difference between the means of predictors of this study. It would be concluded team setting approach can enhance creativity to moderate the leadership qualities for an effective unstructured decision-making process.Keywords
Collective Work, Leadership Attributes, Creativity, Unstructured Decision-Making Process.References
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- A Study of the Modificative Role of Human Capital on Adoption, Agility and Technology Diffusion as Mediators for Achieving an Optimal Change Management
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1 Ph.D. Student, Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
2 Professor, Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
3 Associate Professor, Department of Biostatistics, Shiraz University of Medical Sciences, Shiraz, IR
1 Ph.D. Student, Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
2 Professor, Department of Management Sciences, Savitribai Phule Pune University, Pune, Maharashtra, IN
3 Associate Professor, Department of Biostatistics, Shiraz University of Medical Sciences, Shiraz, IR
Source
OPUS: HR Journal, Vol 10, No 2 (2019), Pagination: 46-71Abstract
This study is carried out with the aim of investigating the deterministic role of human capital for enhancing adoption and agility in the diffusion process of a new technology in order to implement technological changes satisfactorily. This causal relationship is carried outbased on five variables; human capital, adoption, agility, technology diffusion and change management measured through five questionnaires with 71 statements distributed among 432 IT employees in Pune-India. The collected data are analyzed through IBM SPSS 23, LISREL 8.5 and Mplus 6.12. However, the data analysis shows that there is a positive relationship between human capital, adoption, agility and technology diffusion as predictor variables with change management as a criterion variable, the interaction of adoption, agility and technology diffusion is not significant to support the proposed model of this study. This is while, human capital as the main independent variable could be placed in two modified models to examine the mediating roles of adoption and agility for a satisfactory change management in one model as well as the mediating role of technology diffusion in another model. It can be concluded that employees’ human capital as a main independent variable can enhance employees’ adoption and agility in technology diffusion to proceed a satisfactory technological change management. In other words, human capital is recognized as an essential capability in proceeding technological changes.Keywords
Human Capital, Adoption, Agility, Technology Diffusion, Technological Change Management.References
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