Open Access
Issue
SHS Web Conf.
Volume 115, 2021
Current Problems of the Corporate Sector 2021
Article Number 03017
Number of page(s) 13
Section Current Managerial Trends in the Corporate Sector
DOI https://doi.org/10.1051/shsconf/202111503017
Published online 14 July 2021
  1. WHO, WHO Coronavirus (COVID-19) Dashboard, (2021). https://covid19.who.int (accessed April 19, 2021). [Google Scholar]
  2. M.C. Howard, Understanding face mask use to prevent coronavirus and other illnesses: Development of a multidimensional face mask perceptions scale, Br J Health Psychol. (2020). https://doi.org/10.1111/bjhp.12453. [Google Scholar]
  3. L. Ferretti, C. Wymant, M. Kendall, L. Zhao, A. Nurtay, L. Abeler-Dörner, M. Parker, D. Bonsall, C. Fraser, Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing, Science, 368 (2020). https://doi.org/10.1126/science.abb6936. [Google Scholar]
  4. A. Baveja, A. Kapoor, B. Melamed, Stopping Covid-19: A pandemic-management service value chain approach, Ann Oper Res., 1–12 (2020). https://doi.org/10.1007/s10479020-03635-3. [Google Scholar]
  5. M.P. Crayne, The traumatic impact of job loss and job search in the aftermath of COVID-19, Psychol Trauma, 12, 180–182 (2020). https://doi.org/10.1037/tra0000852. [Google Scholar]
  6. M.B. Omary, J. Eswaraka, S.D. Kimball, P.V. Moghe, R.A. Panettieri, K.W. Scotto, The COVID-19 pandemic and research shutdown: staying safe and productive, J Clin Invest., 130, 2745–2748 (2020). https://doi.org/10.1172/JCI138646. [Google Scholar]
  7. IMFBlog, The Great Lockdown: Worst Economic Downturn Since the Great Depression, IMF Blog. (2020). https://blogs.imf.org/2020/04/14/the-great-lockdown-worsteconomic-downturn-since-the-great-depression/ (accessed April 19, 2021). [Google Scholar]
  8. E. Aguila, Personal Retirement Accounts and Saving, Am Econ J Econ Policy, 3, 1–24 (2011). https://doi.org/10.1257/pol.3.4.1. [Google Scholar]
  9. M. Griffin, S. Tippins, A case study exploration of blue-collar worker retirement plan investment decisions, International Journal of Applied Management and Technology, 15 (2016) 3. [Google Scholar]
  10. A.E. Sunden, B.J. Surette, Gender differences in the allocation of assets in retirement savings plans, The American Economic Review, 88, 207–211 (1988). [Google Scholar]
  11. A. Goolsbee, C. Syverson, Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020, Journal of Public Economics, 193 (2021) 104311. [Google Scholar]
  12. C.-C. Topriceanu, A. Wong, J.C. Moon, A.D. Hughes, N. Chaturvedi, G. Conti, D. Bann, P. Patalay, G. Captur, Impact of lockdown on key workers: findings from the COVID-19 survey in four UK national longitudinal studies, J Epidemiol Community Health. (2021). https://doi.org/10.1136/jech-2020-215889. [Google Scholar]
  13. Mesto Nitra, Mesto Nitra Prípady nerešpektovania nariadení sa opakujú, (2021). https://www.nitra.sk/zobraz/obsah/33325 (accessed April 19, 2021). [Google Scholar]
  14. K. Piovarcsy, Covid-19 spôsobí veľkú vlnu protestov po celom svete, (2020). https://www.trend.sk/nazory-a-komentare/covid-19-sposobi-velku-vlnu-protestov-celom-svete (accessed April 19, 2021). [Google Scholar]
  15. A.D. Meyer, G.R. Brooks, J.B. Goes, Environmental jolts and industry revolutions: Organizational responses to discontinuous change, Strategic Management Journal, 93–110 (1990). [Google Scholar]
  16. M.A. Hitt, J. Arregle, R.M. Holmes, Strategic Management Theory in a Post‐Pandemic and Non‐Ergodic World, Journal of Management Studies. (2020). https://doi.org/10.1111/joms.12646. [Google Scholar]
  17. R. Adner, C.E. Helfat, Corporate effects and dynamic managerial capabilities, Strategic Management Journal, 24, 1011–1025 (2003). [CrossRef] [Google Scholar]
  18. M.A. Hitt, B.B. Tyler, Strategic decision models: Integrating different perspectives, Strategic Management Journal, 12, 327–351 (1991). [Google Scholar]
  19. G.P. Hodgkinson, M.P. Healey, Psychological foundations of dynamic capabilities: Reflexion and reflection in strategic management, Strategic Management Journal. 32 (2011) 1500–1516. [Google Scholar]
  20. V. Ratten, Coronavirus (covid-19) and entrepreneurship: changing life and work landscape, Journal of Small Business & Entrepreneurship. 32 (2020) 503–516. https://doi.org/10.1080/08276331.2020.1790167. [Google Scholar]
  21. M. Ahsan, Entrepreneurship and Ethics in the Sharing Economy: A Critical Perspective, J Bus Ethics. 161 (2020) 19–33. https://doi.org/10.1007/s10551-018-3975-2. [Google Scholar]
  22. D. Dimov, From opportunity insight to opportunity intention: The importance of person–situation learning match, Entrepreneurship Theory and Practice. 31 (2007) 561–583. [Google Scholar]
  23. N. Harvey, Behavioral Fatigue: Real Phenomenon, Naïve Construct, or Policy Contrivance?, Front Psychol. 11 (2020). https://doi.org/10.3389/fpsyg.2020.589892. [CrossRef] [Google Scholar]
  24. A. vaughanbell, Do we suffer ‘behavioural fatigue’ for pandemic prevention measures?, Mind Hacks. (2020). https://mindhacks.com/2020/03/20/do-we-sufferbehavioural-fatigue-for-pandemic-prevention-measures/ (accessed April 20, 2021). [Google Scholar]
  25. R.F. Baumeister, E. Bratslavsky, M. Muraven, D.M. Tice, Ego depletion: is the active self a limited resource?, J Pers Soc Psychol. 74 (1998) 1252–1265. https://doi.org/10.1037//0022-3514.74.5.1252. [Google Scholar]
  26. R.F. Baumeister, Ego depletion and self-control failure: An energy model of the self’s executive function, Self and Identity. 1 (2002) 129–136. [CrossRef] [Google Scholar]
  27. M.S. Hagger, N.L. Chatzisarantis, H. Alberts, C.O. Anggono, C. Batailler, A.R. Birt, R. Brand, M.J. Brandt, G. Brewer, S. Bruyneel, A multilab preregistered replication of the ego-depletion effect, Perspectives on Psychological Science. 11 (2016) 546–573. [Google Scholar]
  28. J. Drury, H. Carter, E. Ntontis, S.T. Guven, Public behaviour in response to the COVID-19 pandemic: understanding the role of group processes, BJPsych Open. 7 (2021) e11. https://doi.org/10.1192/bjo.2020.139. [Google Scholar]
  29. H. Rahmandad, T.Y. Lim, J. Sterman, Behavioral dynamics of COVID-19: estimating under-reporting, multiple waves, and adherence fatigue across 91 nations, MedRxiv. (2020). [Google Scholar]
  30. S. Reicher, J. Drury, Pandemic fatigue? How adherence to covid-19 regulations has been misrepresented and why it matters, BMJ. 372 (2021) n137. https://doi.org/10.1136/bmj.n137. [Google Scholar]
  31. V. Bačová, Rozhodovanie a usudzovanie II, Oblasti a Koncepcie. Bratislava, Ústav Experimentálnej Psychológie SAV. (2011). [Google Scholar]
  32. T. O’Donoghue, M. Rabin, Present bias: Lessons learned and to be learned, American Economic Review. 105 (2015) 273–79. [Google Scholar]
  33. D. Laibson, Golden Eggs and Hyperbolic Discounting, The Quarterly Journal of Economics. 112 (1997) 443–77. https://doi.org/10.1162/003355397555253. [Google Scholar]
  34. G. Loewenstein, D.A. Asch, J.Y. Friedman, L.A. Melichar, K.G. Volpp, Can behavioural economics make us healthier?, Bmj. 344 (2012). [Google Scholar]
  35. M. Van Der Pol, D. Hennessy, B. Manns, The role of time and risk preferences in adherence to physician advice on health behavior change, The European Journal of Health Economics. 18 (2017) 373–386. [Google Scholar]
  36. L.K. John, G. Loewenstein, A.B. Troxel, L. Norton, J.E. Fassbender, K.G. Volpp, Financial incentives for extended weight loss: a randomized, controlled trial, Journal of General Internal Medicine. 26 (2011) 621–626. [Google Scholar]
  37. S.D. Halpern, B. French, D.S. Small, K. Saulsgiver, M.O. Harhay, J. AudrainMcGovern, G. Loewenstein, T.A. Brennan, D.A. Asch, K.G. Volpp, Randomized trial of four financial-incentive programs for smoking cessation, N Engl J Med. 372 (2015) 2108–2117. [Google Scholar]
  38. W. Samuelson, R. Zeckhauser, Status quo bias in decision making, Journal of Risk and Uncertainty. 1 (1988) 7–59. [Google Scholar]
  39. R.H. Thaler, C.R. Sunstein, Nudge: improving decisions about health, wealth, and happiness, Yale University Press, New Haven, 2008. [Google Scholar]
  40. E.J. Johnson, D. Goldstein, Do Defaults Save Lives?, Science. (2003). https://doi.org/10.1126/SCIENCE.1091721. [Google Scholar]
  41. D. Kahneman, A. Tversky, Prospect Theory: An Analysis of Decision under Risk, Econometrica. 47 (1979) 263–291. https://doi.org/10.2307/1914185. [Google Scholar]
  42. J. Luoto, K.G. Carman, Behavioral economics guidelines with applications for health interventions, Washington DC: Inter-American Development Bank. (2014). [Google Scholar]
  43. K.M. Gallagher, J.A. Updegraff, Health message framing effects on attitudes, intentions, and behavior: a meta-analytic review, Annals of Behavioral Medicine. 43 (2012) 101–116. [Google Scholar]
  44. N.D. Weinstein, Unrealistic optimism about future life events., Journal of Personality and Social Psychology. 39 (1980) 806. [Google Scholar]
  45. N.D. Weinstein, Unrealistic optimism about susceptibility to health problems: conclusions from a community-wide sample, J Behav Med. 10 (1987) 481–500. https://doi.org/10.1007/BF00846146. [Google Scholar]
  46. C.A. Roberto, I. Kawachi, eds., Behavioral economics and public health, Oxford University Press, Oxford; New York, 2016. [Google Scholar]
  47. N. Weinstein, S. Marcus, R. Moser, Smokers’ unrealistic optimism about their risk, Tob Control. 14 (2005) 55–59. https://doi.org/10.1136/tc.2004.008375. [Google Scholar]
  48. A.J. Dillard, K.D. McCaul, W.M.P. Klein, Unrealistic Optimism in Smokers: Implications for Smoking Myth Endorsement and Self-Protective Motivation, Journal of Health Communication. 11 (2006) 93–102. https://doi.org/10.1080/10810730600637343. [Google Scholar]
  49. J.L. Matjasko, J.H. Cawley, M.M. Baker-Goering, D.V. Yokum, Applying Behavioral Economics to Public Health Policy: Illustrative Examples and Promising Directions, American Journal of Preventive Medicine. 50 (2016) S13–S19. https://doi.org/10.1016/j.amepre.2016.02.007. [Google Scholar]
  50. M.L. Finucane, A. Alhakami, P. Slovic, S.M. Johnson, The affect heuristic in judgments of risks and benefits, Journal of Behavioral Decision Making. 13 (2000) 1–17. https://doi.org/10.1002/(SICI)1099-0771(200001/03)13:1<1::AID-BDM333>3.0.CO;2-S. [Google Scholar]
  51. P. Slovic, M.L. Finucane, E. Peters, D.G. MacGregor, The affect heuristic, European Journal of Operational Research. 177 (2007) 1333–1352. https://doi.org/10.1016/j.ejor.2005.04.006. [Google Scholar]
  52. J.S. Lerner, Y. Li, P. Valdesolo, K.S. Kassam, Emotion and Decision Making, Annu. Rev. Psychol. 66 (2015) 799–823. https://doi.org/10.1146/annurev-psych-010213-115043. [Google Scholar]
  53. K.T. Fox-Glassman, E.U. Weber, What makes risk acceptable? Revisiting the 1978 psychological dimensions of perceptions of technological risks, Journal of Mathematical Psychology. 75 (2016) 157–169. https://doi.org/10.1016/j.jmp.2016.05.003. [Google Scholar]
  54. V.F. Reyna, W.L. Nelson, P.K. Han, N.F. Dieckmann, How numeracy influences risk comprehension and medical decision making., Psychological Bulletin. 135 (2009) 943–973. https://doi.org/10.1037/a0017327. [Google Scholar]
  55. D. Ariely, Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions, Revised and Expanded ed. edition, Harper Perennial, New York, NY, 2010. [Google Scholar]
  56. R.M. Raafat, N. Chater, C. Frith, Herding in humans, Trends in Cognitive Sciences. 13 (2009) 420–428. https://doi.org/10.1016/j.tics.2009.08.002. [Google Scholar]
  57. S. Coleman, The Minnesota Income Tax Compliance Experiment--State Tax Results, Social Science Research Network, Rochester, NY, 1996. https://papers.ssrn.com/abstract=4419 (accessed April 20, 2021). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.