370
Views
1
CrossRef citations to date
0
Altmetric
Original Research

The Impact of Challenge Information Security Stress on Information Security Policy Compliance: The Mediating Roles of Emotions

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 1177-1191 | Published online: 11 May 2022

References

  • Willison R, Warkentin M. Beyond deterrence: an expanded view of employee computer abuse. MIS Q. 2013;37(1):1–20. doi:10.25300/MISQ/2013/37.1.01
  • Cram WA, Proudfoot JG, D’Arcy J. Organizational information security policies: a review and research framework. Eur J Inform Syst. 2017;26(6):605–641. doi:10.1057/s41303-017-0059-9
  • D’Arcy J, Herath T. A review and analysis of deterrence theory in the IS security literature: making sense of the disparate findings. Eur J Inform Syst. 2011;20(6):643–658. doi:10.1057/ejis.2011.23
  • Guan BW, Hsu CR. The role of abusive supervision and organizational commitment on employees’ information security policy noncompliance intention. Internet Res. 2020;30(5):1383–1405. doi:10.1108/INTR-06-2019-0260
  • Zhen J, Xie ZX, Dong KX, Chen L. Impact of negative emotions on violations of information security policy and possible mitigations. Behav Inform Technol. 2021;1921029. doi:10.1080/0144929X.2021.1921029
  • Ifinedo P. Information systems security policy compliance: an empirical study of the effects of socialisation, influence, and cognition. Inform Manag. 2014;51(1):69–79. doi:10.1016/j.im.2013.10.001
  • Moody GD, Siponen M, Pahnila S. Toward a unified model of information security policy compliance. MIS Q. 2018;42(1):285–311. doi:10.25300/MISQ/2018/13853
  • Pham H-C, El-den J, Richardson J. Stress-based security compliance model – an exploratory study. Inform Comput Secur. 2016;24(4):326–347. doi:10.1108/ICS-10-2014-0067
  • Hwang I, Cha O. Examining technostress creators and role stress as potential threats to employees’ information security compliance. Comput Hum Behav. 2018;81:282–293. doi:10.1016/j.chb.2017.12.022
  • Lee C, Lee CC, Kim S. Understanding information security stress: focusing on the type of information security compliance activity. Comput Secur. 2016;59:60–70. doi:10.1016/j.cose.2016.02.004
  • Burns AJ, Posey C, Roberts TL, Lowry PB. Examining the relationship of organizational insiders’ psychological capital with information security threat and coping appraisals. Comput Hum Behav. 2017;68:190–209. doi:10.1016/j.chb.2016.11.018
  • Cavanaugh MA, Boswell WR, Roehling MV, Boudreau JW. An empirical examination of self-reported work stress among U.S. managers. J Appl Psychol. 2000;85(1):65–74. doi:10.1037/0021-9010.85.1.65
  • Chen XF, Wu DZ, Chen LQ, Teng JKL. Sanction severity and employees’ information security policy compliance: investigating mediating, moderating, and control variables. Inform Manag. 2018;55(8):1049–1060. doi:10.1016/j.im.2018.05.011
  • Boss SR, Galletta DF, Lowry PB, Moody GD, Polak P. What do systems users have to fear? Using fear appeals to engender threats and fear that motivate protective security behaviors. MIS Q. 2015;39(4):837–864. doi:10.25300/MISQ/2015/39.4.5
  • Ashkanasy NM, Catherine SD. Emotion in the workplace: the new challenge for managers. Acad Manag Exec. 2002;16(1):76–86. doi:10.5465/AME.2002.6640191
  • Weiss HM, Cropanzano R. Affective events theory: a theoretical discussion of the structure, causes and consequences of affective experiences at work. In: Research in Organizational Behavior: An Annual Series of Analytical Essays and Critical Reviews. Vol. 18. US: Elsevier Science/JAI Press; 1996:1–74.
  • Haque A. Strategic HRM and organisational performance: does turnover intention matter? Int J Organ Anal. 2021;29(3):656–681. doi:10.1108/IJOA-09-2019-1877
  • Sobhani FA, Haque A, Rahman S. Socially responsible HRM, employee attitude, and bank reputation: the rise of CSR in Bangladesh. Sustainability. 2021;13(5):2753. doi:10.3390/su13052753
  • Selye H. History and present status of the stress concept. In: Alan M, Richard SL, editors. Stress and Coping: An Anthology. Columbia University Press; 1991:21–35. doi:10.7312/mona92982-007
  • Jannesari MT, Sullivan SE. Leaving on a jet plane? The effect of challenge–hindrance stressors, emotional resilience and cultural novelty on self-initiated expatriates’ decision to exit China. Pers Rev. 2021;51(1):118–136. doi:10.1108/pr-05-2020-0362
  • Podsakoff NP, LePine JA, LePine MA. Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: a meta-analysis. J Appl Psychol. 2007;92(2):438–454. doi:10.1037/0021-9010.92.2.438
  • Lepine JA, Podsakoff NP, Lepine MA. A meta-analytic test of the challenge stressor–hindrance stressor framework: an explanation for inconsistent relationships among stressors and performance. Acad Manag J. 2005;48(5):764–775. doi:10.5465/AMJ.2005.18803921
  • Mazzola JJ, Disselhorst R. Should we be “challenging” employees?: a critical review and meta‐analysis of the challenge‐hindrance model of stress. J Organ Behav. 2019;40(8):949–961. doi:10.1002/job.2412
  • Kern M, Heissler C, Zapf D. Social job stressors can foster employee well-being: introducing the concept of social challenge stressors. J Bus Psychol. 2020;36(5):771–792. doi:10.1007/s10869-020-09702-7
  • French KA, Allen TD, Henderson TG. Challenge and hindrance stressors and metabolic risk factors. J Occup Health Psychol. 2019;24(3):307–321. doi:10.1037/ocp0000138
  • Luo MM, Chea S. Cognitive appraisal of incident handling, affects, and post-adoption behaviors: a test of affective events theory. Int J Inform Manage. 2018;40:120–131. doi:10.1016/j.ijinfomgt.2018.01.014
  • Basch J, Fisher C. Affective events–emotions matrix: a classification of work events and associated emotions. Sch Bus Discuss Pap. 1998;65:36–48.
  • Junça-Silva A, Pombeira C, Caetano A. Testing the affective events theory: the mediating role of affect and the moderating role of mindfulness. Appl Cognit Psychol. 2021;35(4):1075–1081. doi:10.1002/acp.3843
  • Itzkovich Y, Heilbrunn S, Dolev N. Drivers of intrapreneurship: an affective events theory viewpoint. Pers Rev. 2021. doi:10.1108/PR-09-2019-0483
  • D’Arcy J, Teh PL. Predicting employee information security policy compliance on a daily basis: the interplay of security-related stress, emotions, and neutralization. Inform Manag. 2019;56(7):103151. doi:10.1016/j.im.2019.02.006
  • Ormond D, Warkentin M, Crossler RE. Integrating cognition with an affective lens to better understand information security policy compliance. J Assoc Inf Syst. 2019;20(12):1794–1843. doi:10.17705/1jais.00586
  • Farshadkhah S, Van Slyke C, Fuller B. Onlooker effect and affective responses in information security violation mitigation. Comput Secur. 2021;100:102082. doi:10.1016/j.cose.2020.102082
  • Tarafdar M, Cooper CL, Stich JF. The technostress trifecta-techno eustress, techno distress and design: theoretical directions and an agenda for research. Inform Syst J. 2019;29(1):6–42. doi:10.1111/isj.12169
  • Niemimaa E, Niemimaa M. Information systems security policy implementation in practice: from best practices to situated practices. Eur J Inform Syst. 2017;26(1):1–20. doi:10.1057/s41303-016-0025-y
  • Furnell S, Clarke N. Power to the people? The evolving recognition of human aspects of security. Comput Secur. 2012;31(8):983–988. doi:10.1016/j.cose.2012.08.004
  • Safa NS, Sookhak M, Von Solms R, Furnell S, Ghani NA, Herawan T. Information security conscious care behaviour formation in organizations. Comput Secur. 2015;53:65–78. doi:10.1016/j.cose.2015.05.012
  • Ali RF, Dominic PDD, Ali SEA, Rehman M, Sohail A. Information security behavior and information security policy compliance: a systematic literature review for identifying the transformation process from noncompliance to compliance. Appl Sci. 2021;11(8):3383. doi:10.3390/app11083383
  • Dong K, Ali RF, Dominic PDD, Ali SEA. The effect of organizational information security climate on information security policy compliance: the mediating effect of social bonding towards healthcare nurses. Sustainability. 2021;13(5):2800. doi:10.3390/su13052800
  • Son JY, Park J. Procedural justice to enhance compliance with non-work-related computing (NWRC) rules: its determinants and interaction with privacy concerns. Int J Inform Manage. 2016;36(3):309–321. doi:10.1016/j.ijinfomgt.2015.12.005
  • Yazdanmehr A, Wang JG. Employees’ information security policy compliance: a norm activation perspective. Decis Support Syst. 2016;92:36–46. doi:10.1016/j.dss.2016.09.009
  • Morrison EW, Robinson SL. When employees feel betrayed: a model of how psychological contract violation develops. Acad Manag Rev. 1997;22(1):226–256. doi:10.2307/259230
  • Lee Y, Kozar KA. An empirical investigation of anti-spyware software adoption: a multitheoretical perspective. Inform Manage. 2008;45(2):109–119. doi:10.1016/j.im.2008.01.002
  • Spector PE, Fox S. An emotion-centered model of voluntary work behavior: some parallels between counterproductive work behavior and organizational citizenship behavior. Hum Resour Manag Rev. 2002;12(2):269–292. doi:10.1016/S1053-4822(02)00049-9
  • Baskerville R, Hee Park E, Kim J. An emote opportunity model of computer abuse. Inform Technol People. 2014;27(2):155–181. doi:10.1108/ITP-11-2011-0068
  • Kim J, Park EH, Baskerville RL. A model of emotion and computer abuse. Inform Manag. 2016;53(1):91–108. doi:10.1016/j.im.2015.09.003
  • Siponen M, Vance A. Neutralization: new insights into the problem of employee information systems security policy violations. MIS Q. 2010;34(3):487–502. doi:10.2307/25750688
  • Watson D, Tellegen A. Toward a consensual structure of mood. Psychol Bull. 1985;98(2):219–235. doi:10.1037/0033-2909.98.2.219
  • Rodell JB, Judge TA. Can “good” stressors spark “bad” behaviors? The mediating role of emotions in links of challenge and hindrance stressors with citizenship and counterproductive behaviors. J Appl Psychol. 2009;94(6):1438–1451. doi:10.1037/a0016752
  • Fuller JA, Stanton JM, Fisher GG, Spitzmüller C, Russell SS, Smith PC. A lengthy look at the daily grind: time series analysis of events, mood, stress, and satisfaction. J Appl Psychol. 2003;88(6):1019–1033. doi:10.1037/0021-9010.88.6.1019
  • Stacey P, Taylor R, Olowosule O, Spanaki K. Emotional reactions and coping responses of employees to a cyber-attack: a case study. Int J Inform Manag. 2021;58:102298. doi:10.1016/j.ijinfomgt.2020.102298
  • Isen AM, Patrick R. The effect of positive feelings on risk taking: when the chips are down. Organ Behav Hum Perform. 1983;31(2):194–202. doi:10.1016/0030-5073(83)90120-4
  • Hermans D, De Houwer J, Eelen P. A time course analysis of the affective priming effect. Cognit Emotion. 2001;15(2):143–165. doi:10.1080/0269993004200033
  • Mendhurwar S, Mishra R. Integration of social and IoT technologies: architectural framework for digital transformation and cyber security challenges. Enterp Inform Syst. 2021;15(4):565–584. doi:10.1080/17517575.2019.1600041
  • Zhen J, Xie ZX, Dong KX. Positive emotions and employees’ protection-motivated behaviours: a moderated mediation model. J Bus Econ Manag. 2020;21(5):1466–1485. doi:10.3846/jbem.2020.13169
  • Robinson MD, Clore GL. Episodic and semantic knowledge in emotional self-report: evidence for two judgment processes. J Pers Soc Psychol. 2002;83(1):198–215. doi:10.1037/0022-3514.83.1.198
  • Greenberg J, Tomlinson EC. Situated experiments in organizations: transplanting the lab to the field. J Manag. 2004;30(5):703–724. doi:10.1016/j.jm.2003.11.001
  • Ayyagari R, Grover V, Purvis R. Technostress: technological antecedents and implications. MIS Q. 2011;35(4):831–858. doi:10.2307/41409963
  • Tyler TR, Blader SL. Can businesses effectively regulate employee conduct? The antecedents of rule following in work settings. Acad Manag J. 2005;48(6):1143–1158. doi:10.5465/AMJ.2005.19573114
  • Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–1070. doi:10.1037/0022-3514.54.6.1063
  • Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol. 2003;88(5):879–903. doi:10.1037/0021-9010.88.5.879
  • Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879–891. doi:10.3758/BRM.40.3.879
  • Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004;36(4):717–731. doi:10.3758/bf03206553
  • Johnson EJ, Tversky A. Affect, generalization, and the perception of risk. J Pers Soc Psychol. 1983;45(1):20–31. doi:10.1037/0022-3514.45.1.20