South Asian Journal of Management

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A Study on the Role of Work-related Rumination in the Relationship between Job Characteristics and Burnout


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1 Human Resource Management Area, Management Development Institute (MDI) Gurgaon, Mehrauli Road, Sukhrali, Gurugram 122007, Haryana, India
     

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Drawing on Job Demands-Resources (JD-R) model, this research study examines the effect of perceived job characteristics on burnout in field officers of Microfinance Institutions (MFIs) in India. Further the moderating role of work related rumination (affective rumination and problem solving pondering) in the relationship between the perceived job stressors and burnout was theorized. Employing a cross-sectional design, for a sample of 225 employees, hierarchical regression analyses and a series of Structural Equation Modeling (SEM) analyses were used for hypotheses testing. Consistent with predictions, it was found that type of rumination additionally predicted burnout beyond job demands and job resources, with affective rumination being a positive and problem solving pondering being a negative predictor. Further, while there was no clear empirical evidence for affective rumination being a moderator, results provided partial support for problem solving pondering being a moderator.

Keywords

Affective Rumination, Burnout, Job Demands-Resources (JD-R) model, Microfinance Institutions (MFIs), Problem Solving-Pondering.
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  • Ahmad, M. M. (2002). Who cares? The personal and professional problems of NGO fieldworkers in Bangladesh, Development in Practice, 12(2), 177-191.

  • Åkerstedt, T., Knutsson, A., Westerholm, P., Theorell, T., Alfredsson, L., & Kecklund, G. (2004). Mental fatigue, work and sleep. Journal of Psychosomatic Research. 57(5), 427-433.

  • Arbuckle, J. L. (2007). AMOS (Version 7) [Computer software]. Chicago, IL: IBM SPSS.

  • Arbuckle, J. L. (2007). AMOS 16.0. Spring House, PA: Amos Development Corporation.

  • Arditte, B., & Joormann, J. (2011). Emotion regulation in depression, reflection predicts recovery from a major depressive episode. Cognitive Therapy and Research, 35(6), 536-543.

  • Bacharach, S. B., Bamberger, P., & Conley, S. (1991). Workhome conflict among nurses and engineers: Mediating the impact of role stress on burnout and satisfaction at work. Journal of Organizational Behavior, 12(1), 39-53.

  • Bakker, A. B., & Demerouti, E. (2014). Job demands-resources theory. Wellbeing: A Complete Reference Guide, 1-28.

  • Bakker, A. B., Demerouti, E., & Euwema, M. C. (2005). Job resources buffer the impact of job demands on burnout. Journal of Occupational Health Psychology, 10(2), 170-180.

  • Bakker, A. B., Demerouti, E., De Boer, E., & Schaufeli, W. B. (2003). Job demands and job resources as predictors of absence duration and frequency. Journal of Vocational Behavior, 62(2), 341-356.

  • Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328.

  • Bakker, A. B., & Heuven, E. (2006). Emotional dissonance, burnout, and in-role performance among nurses and police officers. International Journal of Stress Management, 13(4), 423-440.

  • Becker, T. E. (2005). Potential problems in the statistical control of variables in organizational research. A qualitative analysis with recommendations. Organizational Research Methods, 8(3), 274-289.

  • Boyas, J., & Wind, L. H. (2010). Employment-based social capital, job stress, and employee burnout: A public child welfare employee structural model. Children and Youth Services Review, 32(3), 380-388.

  • Brewer, E. W., & Shapard, L. (2004). Employee burnout: A meta-analysis of the relationship between age or years of experience. Human Resource Development Review, 3(2), 102-123.

  • Burke, R. J., & Greenglass, E. (1993). Work stress, role conflict, social support, and psychological burnout among teachers. Psychological Reports, 73(2), 371-380.

  • Byrne, B. M. (2010). Structural equation modeling with AMOS: basic concepts, applications, and programming (multivariate applications series). New York, NY: Taylor & Francis Group.

  • Campbell, N. S., Perry, S. J., Maertz Jr, C. P., Allen, D. G., & Griffeth, R.W. (2013). All you need is… resources: The effects of justice and support on burnout and turnover. Human Relations, 66(6), 759-782.

  • Canales, R. (2014). Weaving straw into gold: Managing organizational tensions between standardization and flexibility in microfinance. Organization Science, 25(1), 1-28.

  • Chin, W. W. (1998). The partial least squares approach for structural equation modeling. in G. A. Marcoulides (Ed.), Modern methods for business research (pp.295-236). London, UK: Lawrence Erlbaum Associates.

  • Cropley, M., & Millward, L. J. (2009). How do individuals ‘switchoff’ from work during leisure? A qualitative description of the unwinding process in high and low ruminators. Leisure Studies, 28(3), 333-347.

  • Cropley, M., & Zijlstra, F. R. H. (2011). Work and rumination., In J. Langan-Fox, & C. Cooper, (Eds.), Handbook of stress in the occupations (pp. 487-503). Northampton, MA: Edward Elgar Publishing Inc.

  • Cropley, M., Dijk, D. J., & Stanley, N. (2006). Job strain, work rumination, and sleep in school teachers. European Journal of Work and Organizational Psychology, 15(2), 181-196.

  • Cropley, M., Michalianou, G. Pravettoni, G., & Millward, L. (2012). The relation of post work ruminative thinking with eating behavior. Stress and Health, 28(1), 23-30.

  • Cropley, M., Zijlstra, F. R., Querstret, D., & Beck, S. (2016). Is work-related rumination associated with deficits in executive functioning? Frontiers in Psychology, 7, 1-8.

  • Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli , W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499-512.

  • Field, A. (2009). Discovering Statistics Using SPSS, Sage Publications, London.

  • Ford, M. T., Cerasoli, C. P., Higgins, J. A., & Decesare, A. L. (2011). Relationships between psychological, physical, and behavioural health and work performance, A review and meta-analysis. Work and Stress, 25(3),185-204.

  • Fornell, C. G., & Larcker, D. F. (1981), Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

  • Fritz, C., & Sonnentag, S. (2005). Recovery, health, and job performance: effects of weekend experiences. Journal of Occupational Health Psychology, 10(3), 187-199.

  • Geurts, S., Schaufeli, W., & De Jonge, J. (1998). Burnout and intention to leave among mental health-care professionals: A social psychological approach. Journal of Social and Clinical Psychology 17(3), 341-362.

  • Gorgievski, M. J., & Hobfoll, S. E. (2008). Work can burn us out or fire us up: Conservation of resources in burnout and engagement., in Halbesleben, J. R. B, Handbook of Stress and Burnout in Health care, Nova Science Publishers, New York, pp. 7-22.

  • Gray, B. (2013). Voices from the frontlines: A research project focused on listening to microfinance credit officers. working paper, freedom from hunger, 1-20.

  • Green, D. E., Walkey, F. H., & Taylor, A. J. W. (1991). The 3-factor structure of theMaslach Burnout Inventory – A multicultural, multinational confirmatory study, Journal of Social Behavior and Personality, 6, 453-472.

  • Guha, S. (2007). Impact of competition on microfinance beneficiaries: evidence from India. Working Paper [21], Asia Research Centre, London School of Economics and Political Science, London, UK,

  • Hahn, V. C., Binnewies, C., Sonnentag, S., & Mojza, E. J. (2011). Learning how to recover from job stress: effects of a recovery training program on recovery, recovery-related self-efficacy, and well-being. Journal of Occupational Health Psychology, 16(2), 202-216.

  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6th ed). Hoboken, NJ: Pearson Education.

  • Hakanen, J. J., Bakker, A. B., & Schaufeli, W. B. (2006).Burnout and work engagement among teachers. Journal of School Psychology, 43(6), 495-513.

  • Hamesch, U., Cropley, M., & Lang, J. (2014). Emotional versus Cognitive Rumination: Are They Differentially Affecting Long term Psychological Health? The Impact of Stressors and Personality in Dental Students. Stress and Health, 30(3), 222-231.

  • Hecht, T. D., & Boies, K. (2009). Structure and correlates of spillover from nonwork to work: An examination of non work activities, well-being, and work outcomes. Journal of Occupational Health Psychology, 14(4), 414-426.

  • Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513-524.

  • Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6(4), 307-324.

  • Holahan, C. K., & Gilbert, L. A. (1979). Conflict between major life roles: Women and men in dual career couples. Human Relations, 32(6), 451-467

  • Holtmann, M., & Grammling, M. (2005). A toolkit for designing and implementing staff incentives schemes. Microfinance Network and CGAP, Nairobi.

  • Hsu, B. Y. (2014). Alleviating poverty or reinforcing inequality? Interpreting microfinance in practice, with illustrations from rural China. The British Journal of Sociology, 65(2), 245-265.

  • Ifeagwazi, F. C. M. (2006). The influence of marital status on self-report of symptoms of psychological burnout among nurses. OMEGA-Journal of Death and Dying, 52(4), 359-373.

  • Kar, S. (2013). Recovering debts: Microfinance loan officers and the work of .proxy-creditors in India. American Ethnologist, 40(3), 480-493.

  • Korthagen, F. A., & Vasalos, A. (2010). Going to the core: Deepening reflection by connecting the person to the profession. In Handbook of reflection and reflective inquiry (pp. 529-552). Springer, Boston, MA.

  • Košir, K., Tement, S., Licardo, M., & Habe, K. (2015). Two sides of the same coin? The role of rumination and reflection in elementary school teachers’ classroom stress and burnout. Teaching and Teacher Education, 47, 131-141.

  • Kuper, H. & Marmot, M. (2003). Job strain, job demands, decision latitude, and risk of coronary heart disease within the Whitehall II study. Journal of Epidemiological Community Health, 57(2), 147 – 153.

  • Labie, M., Meon, P-G., & Szafarz, A. (2009). Discrimination in Microfinance: The role of credit officers., CEB Working paper [09/017], University Libre de Bruxelles-Solvay, Brussels School of Economics and Management, Belgium, April.

  • Lazarus, R., & Folkman, S. (1984). Stress, Appraisal, and Coping, Springer, New York.

  • Lazarus, R. S. (1999). Stress and Emotion: a new Synthesis, Free Association, London.

  • Lee, R. T., & Ashforth, B. E. (1996). A meta-analytic examination of the correlates of the three dimensions of job burnout. Journal of Applied Psychology, 81(2), 123-133.

  • Lizano, E. L. (2015). Examining the impact of job burnout on the health and wellbeing of human service workers: A systematic review and synthesis. Human Service Organizations: Management, Leadership & Governance, 39(3), 167-181.

  • Lyubomirsky, S., & Nolen-Hoeksema, S. (1995). Effects of self-focused rumination on negative thinking and interpersonal problem solving. Journal of Personality and Social Psychology, 69(1), 176-190.

  • Lyubomirsky, S., Kasri, F., & Zehm, K. (2003). Dysphoric rumination impairs concentration on academic tasks. Cognitive Therapy and Research, 27(3), 309-330.

  • Martin, L. L., & Tesser, A. (1996). Some ruminative thoughts. Advances in Social Cognition, 9, 1-47.

  • Maslach, C., Jackson, S. E., & Leiter, M. (1996). Maslach Burnout Inventory: Manual (3rd ed.), Palo Alto, CA: Psychologists Press Consulting.

  • Meier L. L., Cho E., & Dumani S. (2016). The effect of positive work reflection during leisure time on affective well-being: results from three diary studies. Journal of Organizational Behaviour, 37(2), 255-278.

  • Mellings, T. M., & Alden, L. E. (2000). Cognitive processes in social anxiety: The effects of self-focus, rumination and anticipatory processing. Behaviour Research and Therapy, 38(3), 243-257.

  • Nolen-Hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking rumination. Perspectives on Psychological Science, 3(5), 400-424.

  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.

  • Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539-569.

  • Podsakoff, P.M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common methods biases in behavioral research: critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.

  • Pravettoni, G., Cropley, M., Leotta, S. N., & Bagnara, S. (2007).The differential role of mental rumination among industrial and knowledge workers. Ergonomics, 50(11), 1931-1940.

  • Purvanova, R. K., & Muros, J. P. (2010). Gender differences in burnout: A meta-analysis. Journal of Vocational Behavior, 7(2),168-185.

  • Querstret D., Cropley M., Kruger P., & Heron R. (2015).Assessing the effect of cognitive behaviour therapy (CBT)-based workshop on work-related rumination, fatigue, and sleep. European Journal of Work and Organizational. Psychology, 25(1), 50-87.

  • Querstret, D., & Cropley, M. (2012). Exploring the relationship between workrelated rumination, sleep quality, and work-related fatigue. Journal of Occupational Health Psychology, 17(3), 341-353.

  • Querstret, D., & Cropley, M. (2013). Assessing treatments used to reduce rumination and/or worry: A systematic review. Clinical Psychology Review, 33(8), 996-1009.

  • Rawal, A., Park, R. J. & Williams, J. M. G. (2010). Rumination, experiential avoidance, and dysfunctional thinking in eating disorders. Behaviour Research and Therapy, 48(9), 851-859.

  • Rhyne, E., & Otero, E. (2006). Microfinance through the next decade: Visioning the who, what where, when and how. Paper commissioned by the Global Microcredit Summit 2006. Boston, MA: ACCION International

  • Roger, D., & Jamieson, J. (1988). Individual differences in delayed heart-rate recovery following stress: the role of extraversion, neuroticism and emotional control. Personality and Individual Differences, 9, 721-726.

  • Sarker, D. (2013). Pressure on loan officers in microfinance institutions: An ethical perspective. Journal of Economics and Sustainable Development, 4(12), 84-88.

  • Schaufeli, W. B., & Taris, T. W. (2014). A critical review of the Job Demands-Resources Model: Implications for improving work and health. In Bridging occupational, organizational and public health (pp. 43-68). Springer Netherlands.

  • Schaufeli, W. B., Bakker, A. B., & Van Rhenen, W. (2009). How changes in job demands and resources predict burnout, work engagement, and sickness absenteeism. Journal of Organizational Behavior, 30(7), 893-917.

  • Schaufeli, W. B., Leiter, M. P. & Maslach, C. (2009).Burnout: 35 years of research and practice. Career Development International, 14(3), 204-220.

  • Shchetinin, O., & Wollbrant, C. (2013). The intermediary role of microloan officers: Evidence from Ethiopia. Working Papers in Economics[581], University of Gothenburg, School of Business, Economics and Law, Gothenburg, December.

  • Siwale, J. N. (2006). The role of loan officers and clients in the diffusion of microfinance: A study of PRIDE Zambia and CETZAM in Zambia (Unpublished doctoral dissertation). Durham, UK: Durham University.

  • Siwale, J. (2016). Microfinance and loan officers’ work experiences: perspectives from Zambia. The Journal of Development Studies, 52(9), 1289-1305.

  • Siwale, J. N., & Ritchie, J. (2012).Disclosing the loan officer’s role in microfinance development. International Small Business Journal, 30(4), 432-450.

  • Sparks, K. Faragher, B., & Cooper, C.L. (2001).Wellbeing and occupational health in the 21st century workplace. Journal of Occupational and Organizational Psychology, 74(4), 489-509.

  • Sriram, M. S. (2010). Commercialization of Microfinance in India: A Discussion of the Emperor’s Apparel. Economic and Political Weekly, 45(24), 65-73.

  • Syrek, C. J., & Antoni, C. H. (2014). Unfinished tasks foster rumination and impair sleeping—Particularly if leaders have high performance expectations. Journal of Occupational Health Psychology, 19(4), 490-499.

  • The Bharat Microfinance Report. (2016). Sa-Dhan, The Association of Community Development Finance Institutions, New Delhi.

  • Torrance, H. (2012). Triangulation, respondent validation, and democratic participation in mixed methods research. Journal of Mixed Methods Research, 6(2), 111-123.

  • Treynor, W., Gonzalez, R., & Nolen-Hoeksema, S. (2003). Rumination reconsidered: A psychometric analysis. Cognitive Therapy and Research, 27(3), 247-259.

  • Watkins, E.R. (2008). Constructive and unconstructive repetitive thought. Psychological Bulletin, 134(2), 163-206.

  • Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International Journal of Stress Management, 14(2), 121-141.


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  • A Study on the Role of Work-related Rumination in the Relationship between Job Characteristics and Burnout

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Authors

Nidhi S. Bisht
Human Resource Management Area, Management Development Institute (MDI) Gurgaon, Mehrauli Road, Sukhrali, Gurugram 122007, Haryana, India

Abstract


Drawing on Job Demands-Resources (JD-R) model, this research study examines the effect of perceived job characteristics on burnout in field officers of Microfinance Institutions (MFIs) in India. Further the moderating role of work related rumination (affective rumination and problem solving pondering) in the relationship between the perceived job stressors and burnout was theorized. Employing a cross-sectional design, for a sample of 225 employees, hierarchical regression analyses and a series of Structural Equation Modeling (SEM) analyses were used for hypotheses testing. Consistent with predictions, it was found that type of rumination additionally predicted burnout beyond job demands and job resources, with affective rumination being a positive and problem solving pondering being a negative predictor. Further, while there was no clear empirical evidence for affective rumination being a moderator, results provided partial support for problem solving pondering being a moderator.

Keywords


Affective Rumination, Burnout, Job Demands-Resources (JD-R) model, Microfinance Institutions (MFIs), Problem Solving-Pondering.

References