Contents |
Authors:
Muhammad Sajjad, COMSATS University Islamabad (Pakistan) Anam Riaz, COMSATS University Islamabad (Pakistan) Orangzab, COMSATS University Islamabad (Pakistan) Muhammad Chani, COMSATS University Islamabad (Pakistan) Rai Hussain, University of Okara (Pakistan)
Pages: 110-120
Language: English
DOI: https://doi.org/10.21272/mmi.2020.1-08
Download: |
Views: |
Downloads: |
|
|
|
Abstract
This study determines the impact of loneliness on creativity through a powerful and essential mediator of intrinsic motivation. The ability to motivate oneself leads towards the accomplishment of tasks and creative work. In recent years, workplace loneliness has become a more critical issue in both academic and practical debates. So, this study highlighted the significant cause of creativity which could help the organization to handle the problem of loneliness. The study assumes that when isolation at the workplace is high, employees are less approachable towards their tasks. So, their performance and creativity reduced. Because loneliness leads to stress, depression and anger, it reduces the creative skills of employees. To enhance creativity, lonely employees must be motivated to minimise their adverse outcomes. So, the research question arises: Does intrinsic motivation (IM) intervene in between the workplace loneliness (WL) and employees’ creativity? This study is also significant because employees and employers’ relations are the backbone of their respective organizations and directly affect the performance and growth of their respective organizations. A data collection survey method was held on employees of Banking Sector currently working in Vehari district of Pakistan. Sample space was the employees of Pakistani banks working on officer grades. There is a total of 124 bank branches in Vehari District of Pakistan. In these 124 branches, a total of 726 employees were working on managerial positions which were targeted for data collection. Simple random sampling technique was employed to collect the information from the respondents. Simple random sampling techniques were used to avoid from the busyness and undesirable unknown effects from the target population. Data were obtained from 400 banking officers. For data collection, validated and adapted questionnaires were used. Each variable of the survey was measured through a Likert scale of 5 points. For statistics evaluation, the statistical tools such as reliability of data, collinearity of data, the association of variable’s, mediation and Regression were tested. For data reliability and validation, Statistical Package for Social Sciences (SPSS) was used while to measure the direct, indirect or mediation effect was measured through smart pls 3. Smart PLS3 is a landmark in latent variable modelling. It combines state of the art methods with an easy to use and in-built graphical user interface. Structural Equation Modeling (SEM) is utilized to quantify the power of essential philosophies with spotted data. Results showed Workplace Loneliness has a definite and meaningful relationship with employee’s creativity. Results also supported the intervening role of Intrinsic motivation (IM) between the relationship Workplace Loneliness (WL) on Employees’ creativity (EC). The study provides significant implications in literature and for practitioners who are interested in measuring the profound effect of loneliness on creativity. Hypotheses are tested through mediation and for mediation analysis through the most commonly used approach of baron and Kenny. From results, it is stated that workplace loneliness is predicting the intrinsic motivation and creativity. Intrinsic motivation is the mediator in the current study, which partially intermediates the relation of WL and EC. So, it can be stated that employees can only be creative and able to utilize their cognition abilities for creativity when they are socially isolated from other works. The findings authenticate all hypotheses and their correspondence between the workplace loneliness, creativity and intrinsic motivation. In a nutshell, intrinsic motivation is the crucial element for creativity because when employees are internally satisfied with their work, they become energized and motivated and perform their work in a creative way.
Keywords: employees creativity, intrinsic motivation, mediation analysis, structural equation modeling, workplace loneliness.
JEL Classification: C12, C30, O15, J20, J29.
Cite as: Sajjad, M., Riaz, A., Orangzab, Chani M., & Hussain, R. (2020). Innovations in Human Resources Management: Mediating Role of Intrinsic Motivation. Marketing and Management of Innovations, 1, 110-120. https://doi.org/10.21272/mmi.2020.1-08
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Amabile, T. M. (1983). The social psychology of creativity: A componential conceptualization. Journal of personality and social psychology, 45(2), 357-376. [Google Scholar] [CrossRef]
- Ayazlar, G., & Guzel, B. (2014). The effect of loneliness in the workplace on organizational commitment. Procedia-Social and Behavioral Sciences, 131, 319-325. [Google Scholar] [CrossRef]
- Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173. [Google Scholar] []
- Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows: Basic concepts, applications, and programming: Sage. [Google Scholar]
- Cacioppo, J. T., & Patrick, W. (2008). Loneliness: Human nature and the need for social connection: WW Norton and Company. [Google Scholar]
- Deci, E. L., & Ryan, R. M. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology/Psychologie canadienne, 49(1), 14. [Google Scholar][CrossRef]
- Draper, N. R., & Smith, H. (1998). Applied regression analysis (Vol. 326): John Wiley and Sons. [Google Scholar]
- Eisenberger, R., & Cameron, J. (1998). Reward, intrinsic interest, and creativity: New findings. [Google Scholar]
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. [Google Scholar] [CrossRef]
- Gallo, P., Balogova, B., Tomcikova, L. & Nemec, J. (2019). The impact of the innovative total quality management tool in small and medium-sized enterprises. Marketing and Management of Innovations, 4, 22-30. [Google Scholar] [CrossRef]
- García, J. L. D. (2016). El nuevo escenario de las campañas digitales y su reflejo en unas elecciones regionales: el caso de Castilla y León, 2015. Paper presented at the La cibercampaña en Castilla y León: elecciones autonómicas 2015.
- George, J. M., A & Zhou, J. (2001). When openness to experience and conscientiousness are related to creative behavior: an interactional approach. Journal of applied psychology, 86(3), 513. [Google Scholar] [CrossRef]
- Gonzalez, A., Paoloni, V., Donolo, D., & Rinaudo, C. (2012). Motivational and emotional profiles in university undergraduates: A self-determination theory perspective. The Spanish journal of psychology, 15(3), 1069-1080. [Google Scholar] [CrossRef]
- Grant, A. M., & Berry, J. W. (2011). The necessity of others is the mother of invention: Intrinsic and prosocial motivations, perspective taking, and creativity. Academy of Management journal, 54(1), 73-96. [Google Scholar] [CrossRef]
- Gregoire, Y., & Fisher, R. J. (2006). The effects of relationship quality on customer retaliation. Marketing Letters, 17(1), 31-46. [Google Scholar] [CrossRef]
- Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). [Google Scholar]
- Hair Jr, J. F., Hult, G. T. M., Ringle, C., and Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications. [Google Scholar]
- Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135. [Google Scholar] [CrossRef]
- Howell, J. M., & Hall-Merenda, K. E. (1999). The ties that bind: The impact of leader-member exchange, transformational and transactional leadership, and distance on predicting follower performance. Journal of applied psychology, 84(5), 680. [Google Scholar] [CrossRef]
- James, K., Brodersen, M., & Eisenberg, J. (2004). Workplace affect and workplace creativity: A review and preliminary model. Human Performance, 17(2), 169-194. [Google Scholar] [CrossRef]
- Koc, F., Ozbek, V., & Alniacik, E. (2014). The Moderating Role of Service Environment on the Effects of Firm Reputation and Perceived Service Quality on Consumer Trust: a Study in the Healthcare Industry. Journal of Global Strategic Management, 16, 111-120. [Google Scholar] [CrossRef]
- Lavigne, G. L., Vallerand, R. J., & Miquelon, P. (2007). A motivational model of persistence in science education: A self-determination theory approach. European Journal of Psychology of Education, 22(3), 351. [Google Scholar] [CrossRef]
- Lei, P. W., & Wu, Q. (2007). Introduction to structural equation modeling: Issues and practical considerations. Educational Measurement: issues and practice, 26(3), 33-43. [Google Scholar][CrossRef]
- McKinney, K. (2006). Initial evaluation of active minds: The stigma of mental illness and willingness of college students to seek professional help. (Doctoral dissertation, Colorado State University). [Google Scholar]
- Nunnally, J. C., and Bernstein, I. (1994). Psychometric Theory (McGraw-Hill Series in Psychology) (Vol. 3): McGraw-Hill New York.
- Oriol, X., Amutio, A., Mendoza, M., Da Costa, S., & Miranda, R. (2016). Emotional creativity as predictor of intrinsic motivation and academic engagement in university students: the mediating role of positive emotions. Frontiers in psychology, 7, 1243. [Google Scholar] [CrossRef]
- Paramitha, A., & Indarti, N. (2014). Impact of the environment support on creativity: Assessing the mediating role of intrinsic motivation. Procedia-Social and Behavioral Sciences, 115, 102-114. [Google Scholar] [CrossRef]
- Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879-891. [Google Scholar] [CrossRef]
- Ringle, C. M., Sarstedt, M., & Mooi, E. A. (2010). Response-based segmentation using finite mixture partial least squares. In Data Mining (pp. 19-49). Springer, Boston, MA. [Google Scholar][CrossRef]
- Ryan, R. M., & Deci, E. L. (2009). Promoting self-determined school engagement. Handbook of motivation at school, 171-195. [Google Scholar]
- Sajjad, M., Chani, M. I., Tahir, M. S., & Tariq, B. (2019). Local combats global: simulacrum of brand personality for tea brands. Amazonia Investiga, 8(23), 203-212. [Google Scholar]
- Schwarz, N. (1990). Feelings as information: Informational and motivational functions of affective states. The Guilford Press. [Google Scholar]
- Shalley, C. E., Zhou, J., & Oldham, G. R. (2004). The effects of personal and contextual characteristics on creativity: Where should we go from here? Journal of management, 30(6), 933-958. [Google Scholar] [CrossRef]
- Steele, L. M., McIntosh, T., & Higgs, C. (2017). Intrinsic motivation and creativity: opening up a black box. Handbook of Research on Leadership and Creativity.Edward Elgar Publishing.[Google Scholar] [CrossRef]
- Stoica, M., Brate, A. T., Bucuta, M., & Morar, S. (2014). The Association of Loneliness at the Workplace with Organizational Variables. European Journal of Science and Theology, 10, 101-112. [Google Scholar]
- Tierney, P., & Farmer, S. M. (2002). Creative self-efficacy: Its potential antecedents and relationship to creative performance. Academy of Management journal, 45(6), 1137-1148. [Google Scholar] [CrossRef]
- To, M. L., Fisher, C. D., & Ashkanasy, N. M. (2015). Unleashing angst: Negative mood, learning goal orientation, psychological empowerment and creative behaviour. Human relations, 68(10), 1601-1622. [Google Scholar] [CrossRef]
- Tremblay, M. A., Blanchard, C. M., Taylor, S., Pelletier, L. G., & Villeneuve, M. (2009). Work Extrinsic and Intrinsic Motivation Scale: Its value for organizational psychology research. Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement, 41(4), 213. [Google Scholar]
- Utman, C. H. (1997). Performance effects of motivational state: A meta-analysis. Personality and Social Psychology Review, 1(2), 170-182. [Google Scholar] [CrossRef]
- Vallerand, R. J., Mageau, G. A., Elliot, A. J., Dumais, A., Demers, M. A., & Rousseau, F. (2008). Passion and performance attainment in sport. Psychology of Sport and Exercise, 9(3), 373-392. [Google Scholar] [CrossRef]
- Wille, M. M., Dirksen, A., Ashraf, H., Saghir, Z., Bach, K. S., Brodersen, J., . . . & Rasmussen, J. F. (2016). Results of the randomized Danish lung cancer screening trial with focus on high-risk profiling. American journal of respiratory and critical care medicine, 193(5), 542-551. [Google Scholar] [CrossRef]
- Woo, P. C., Lau, S. K., Lam, C. S., Lau, C. C., Tsang, A. K., Lau, J. H., . . . & Zheng, B. J. (2012). Discovery of seven novel Mammalian and avian coronaviruses in the genus deltacoronavirus supports bat coronaviruses as the gene source of alphacoronavirus and betacoronavirus and avian coronaviruses as the gene source of gammacoronavirus and deltacoronavirus. Journal of virology, 86(7), 3995-4008. [Google Scholar] [CrossRef]
- Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993). Toward a theory of organizational creativity. Academy of management review, 18(2), 293-321. [Google Scholar] [CrossRef]
- Wright, S. L., Burt, C. D., & Strongman, K. T. (2006). Loneliness in the workplace: Construct definition and scale development. [Google Scholar]
- Zhao, H., Kessel, M., & Kratzer, J. (2014). Supervisor–subordinate relationship, differentiation, and employee creativity: a self‐categorization perspective. The Journal of Creative Behavior, 48(3), 165-184. [Google Scholar] [CrossRef]
|