Improving Mental Wellbeing in Organizations with Targeted Psychosocial Interventions

1. Barsade, S. G. (2002), “The ripple effect: emotional contagion and its influence on group behavior”, Administrative Science Quarterly, Vol. 47, No. 4, pp. 644-675.10.2307/3094912Search in Google Scholar

2. Bóta, A., Krész, M., Pluhár, A. (2013), “Approximations of the generalized cascade model”, Acta Cybernetica, Vol. 21, No.1, pp. 37-51.10.14232/actacyb.21.1.2013.4Search in Google Scholar

3. Bóta, A., Krész, M., Pluhár, A. (2014), “The inverse infection problem”, in Ganzha, M., Maciaszek, L., Paprzycki, M. (Eds.), 2014 Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information systems, Vol. 2, 7-10 September, IEEE, Warsaw, pp. 75-84.10.15439/2014F261Search in Google Scholar

4. Briner, R. B., & Reynolds, S. (1999), “The costs, benefits, and limitations of organizational level stress interventions”, Journal of Organizational Behavior, Vol. 20, No. 5, pp. 647-664.10.1002/(SICI)1099-1379(199909)20:5<647::AID-JOB919>3.0.CO;2-1Search in Google Scholar

5. Chen, W., Yuan, Y., Zhang, L. (2010), “Scalable influence maximization in social networks under the linear threshold model”, in Webb, G. I., Liu, B., Zhang, C., Gunopulos, D., Wu, X. (Eds.), 2010 IEEE International Conference on Data Mining, 13-17 December, IEEE, Sydney, pp. 88-97.10.1109/ICDM.2010.118Search in Google Scholar

6. Clarkson, B. G., Wagstaff, C. R., Arthur, C. A., Thelwell, R. C. (2020), “Leadership and the contagion of affective phenomena: a systematic review and mini meta-analysis”, European Journal of Social Psychology, Vol. 50, No.1, pp. 61-80.10.1002/ejsp.2615Search in Google Scholar

7. Coenen, R., Broekens, J. (2012), “Modeling emotional contagion based on experimental evidence for moderating factors”, in 11th International Conference on Autonomous Agents and Multiagent Systems, 4-8 June, IFAAMAS, Valencia, Vol. 3., pp. 4–8.Search in Google Scholar

8. Danna, K., Griffin, R. W. (1999), “Health and well-being in the workplace: a review and synthesis of the literature”, Journal of Management, Vol. 25, No.1, pp. 357-384.10.1177/014920639902500305Search in Google Scholar

9. Domingos, P., Richardson, M. (2001), “Mining the network value of customers”, 7th ACM SIGKDD International Conference on Knowledge Discovery And Data Mining, 26-29 August, Association for Computing Machinery, New York, pp. 57–66.10.1145/502512.502525Search in Google Scholar

10. Downs, A., Boucher, L. A., Campbell, D. G., Polyakov, A. (2017), “Using the WHO–5 wellbeing index to identify college students at risk for mental health problems”, Journal of College Student Development, Vol. 58, No.1, pp. 113-117.10.1353/csd.2017.0008Search in Google Scholar

11. Eisenberg, D., Golberstein, E., Whitlock, J. L., Downs, M. F. (2013), “Social contagion of mental health: evidence from college roommates”, Health Economics, Vol. 22, No. 8, pp. 965-986.10.1002/hec.2873Search in Google Scholar

12. Fowler, J. H., Christakis, N. A. (2008), “Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study”, BMJ, Vol. 337, a2338.10.1136/bmj.a2338Search in Google Scholar

13. Fredrickson, B. L. (2000), “Cultivating positive emotions to optimize health and well-being”, Prevention & Treatment, Vol. 3, No. 1, 1.10.1037/1522-3736.3.1.31aSearch in Google Scholar

14. Fredrickson, B. L. (2001), “The role of positive emotions in positive psychology: the broadenand-build theory of positive emotions”, American Psychologist, Vol. 56, No. 3, pp. 218-226.10.1037/0003-066X.56.3.218Search in Google Scholar

15. Fredrickson, B. L., Tugade, M. M., Waugh, C. E., Larkin, G. R (2003), “What good are positive emotions in crises? A prospective study of resilience and emotions following the terrorist attacks on the United States on September 11th, 2001”, Journal of Personality and Social Psychology, Vol. 84, No. 2, pp. 365-376.10.1037/0022-3514.84.2.365Search in Google Scholar

16. Granovetter, M. (1978), “Threshold models of collective behaviour”, American Journal of Sociology, Vol. 83, No. 6, pp. 1420-1443.10.1086/226707Search in Google Scholar

17. Hatfield, E., Cacioppo, J. T., Rapson, R. L. (1993), “Emotional contagion”, Current Directions in Psychological Science, Vol. 2, No. 3, pp. 96-100.10.1111/1467-8721.ep10770953Search in Google Scholar

18. Kempe, D., Kleinberg, J., Tardos, É. (2003), “Maximizing the spread of influence through a social network”, in Domingos, P. (Ed.), 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 24-27 August, Association for Computing Machinery, New York, pp. 137-146.10.1145/956750.956769Search in Google Scholar

19. Kempe, D., Kleinberg, J., Tardos, E. (2005), “Influential nodes in a diffusion model for social networks”, in Caires, L., Italiano, G.F., Monteiro, L., Palamidessi, C., Yung, M. (Eds.), 32nd International Colloquium on Automata, Languages and Programming ICALP 2005, 11-15 July, European Association for Theoretical Computer Science Lisbon, pp. 1127-1138.10.1007/11523468_91Search in Google Scholar

20. Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., Howes, M. J., Normand, S. L. T., Manderscheid, R. W., Walters, E. E., Zaslavsky, A. M. (2003), “Screening for serious mental illness in the general population”, Archives of General Psychiatry, Vol. 60, No. 2, pp. 184-189.10.1001/archpsyc.60.2.184Search in Google Scholar

21. LaMontagne, A. D., Keegel, T., Louie, A. M., Ostry, A., Landsbergis, P. A. (2007), “A systematic review of the job-stress intervention evaluation literature, 1990-2005”, International Journal of Occupational and Environmental Health, Vol. 13, No. 3, pp. 268-280.10.1179/oeh.2007.13.3.268Search in Google Scholar

22. Montano, D., Hoven, H., Siegrist, J. (2014), “Effects of organisational-level interventions at work on employees health: a systematic review”, BMC Public Health, Vol. 14, No. 1, 135.10.1186/1471-2458-14-135Search in Google Scholar

23. Richardson, K. M., Rothstein, H. R. (2008), “Effects of occupational stress management intervention programs: a meta-analysis”, Journal of Occupational Health Psychology, Vol. 13, No. 1, pp. 69-93.10.1037/1076-8998.13.1.69Search in Google Scholar

24. Rosenquist, J. N., Fowler, J. H., Christakis, N.A. (2011), “Social network determinants of depression”, Molecular Psychiatry, Vol. 16, No. 3, pp. 273-281.10.1038/mp.2010.13Search in Google Scholar

25. Tóth, L. (2016), “Greedy heuristics for the generalized independent cascade model”, in Fister, I., Brodnik, A. (Eds.), 2016 3rd Student Computer Science Research Conference - StuCoSReC, 12 October, University of Primorska Press, Koper, pp. 51-54.Search in Google Scholar

26. Tsai, J., Bowring, E., Marsella, S., Tambe, M. (2011), “Empirical evaluation of computational emotional contagion models”, in Vilhjálmsson, H. H., Kopp, S., Marsella, S., Thórisson, K. R., (Eds.), 10th International Conference Intelligent Virtual Agents, 15-17 Septembar, Springer, Berlin, Heidelberg, pp. 384-397.10.1007/978-3-642-23974-8_42Search in Google Scholar

27. Van der Klink, J. J., Blonk, R. W., Schene, A. H., Van Dijk, F. J. (2001), “The benefits of interventions for work-related stress”, American Journal of Public Health, Vol. 91, No. 2, pp. 270-276.10.2105/AJPH.91.2.270Search in Google Scholar

28. WHO. (1998), “Wellbeing measures in primary health care/the depcare project”, available at http://www.euro.who.int/__data/assets/pdf_file/0016/130750/E60246.pdf / (30 January 2020)Search in Google Scholar