Cited by 456Technostress in Professional SettingsStress and Burnout ResearchJob Satisfaction and Organizational Behavior

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Technostress creators and job outcomes: theorising the moderating influence of personality traits

Srivastava, Shirish C., Chandra, Shalini, Shirish, Anuragini·2015·Information Systems Journal

DOI 10.1111/isj.12067

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Abstract

Although prior research has examined the influence of technostress creators on job outcomes, insights into the influence of personality traits on the perceptions of technostress creators and their consequent impacts on job outcomes are rather limited. Such insights would enable a deeper understanding about the effects of individual differences on salient job‐related outcomes. In this research, by leveraging the distinctions in personality traits offered by the big five personality traits in the five‐factor model and grounding the research in the transactional model of stress and coping, we theorise the moderating influence of personality traits on the relationships between technostress creators and job outcomes, namely job burnout and job engagement. Specifically, the study theorises the mechanisms through which each of the specific personality traits openness‐to‐experience, neuroticism, agreeableness, conscientiousness and extraversion interacts with technostress creators to differently influence job burnout and job engagement. We test the proposed model in a field study based on a survey of senior organisational managers who regularly use information and communication technologies for executing professional tasks. Although technostress creators are generally associated with negative job outcomes, our results also show that for individuals with certain personality traits, technostress creators may result in positive job outcomes. The study thus contributes to the technostress literature, specifically by incorporating the salient role of individual differences. The study also provides insights for managers who should pay special attention to allocating specific job roles to employees with particular personality traits in order to optimise job‐related outcomes.

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Chen, Y., Wang, X., Benitez, J., Luo, X. R., & Li, D. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2063557 · Cited by 83
“Evidence suggests that techno-invasion leads to burnout by enabling individuals to be accessible to the office anytime and anywhere via smart appliances [84].”
Background
Techno-stressors, distress and strain: the roles of leadership and competitive climates
Turel, O., & Gaudioso, F. (2018) · Cognition, Technology & Work · doi:10.1007/s10111-018-0461-7 · Cited by 72
Designing the digital workplace of the future – what scholars recommend to practitioners
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Technostress mitigation: an experimental study of social support during a computer freeze
Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2020) · Journal of Business Economics · doi:10.1007/s11573-020-00986-y · Cited by 74
“Different reactions have been examined in the previous literature such as job and user satisfaction (Ragu-Nathan et al. 2008; Tarafdar et al. 2010), burnout (Maier et al. 2019; Srivastava et al. 2015), or IT addiction (Tarafdar et al. 2019b).”
Background
Values and Ethics in Information Systems
Spiekermann, S., Krasnova, H., Hinz, O. F., Baumann, A., Benlian, A., Gimpel, H., Heimbach, I., Köster, A., Maedche, A., Niehaves, B., et al. (2022) · Business & Information Systems Engineering · doi:10.1007/s12599-021-00734-8 · Cited by 82
“These phenomena of ICT use may have detrimental inﬂuences on individuals, for example, in the form of loneliness (Matook et al. 2015), burnout (Srivastava et al. 2015), or diseases of the musculoskeletal or cardiovascular system (Gimpel et al. 2019).”
Background
Compulsive smartphone usage and users' ill-being among young Indians: Does personality matter?
Panda, A., & Jain, N. K. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.03.006 · Cited by 67
Personality traits, psychological well-being, Facebook addiction, health and performance: testing their relationships
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“Physical and social health included 8 items adapted originally from Lee et al. (2016), Srivastava, Chandra, and Shirish (2015) and Kayis et al. (2016) with some modifications.”
Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress
Nascimento, L., Correia, M. F., & Califf, C. B. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102428 · Cited by 104
Personality Profiles that Put Users at Risk of Perceiving Technostress
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Overwhelmed by technostress? Sensitive archetypes and effects in times of forced digitalization
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“Considering that stressors do not act or affect all workers in the same way, individual differences, such as the psychological traits of the users [28], their level of extraversion [58], personality [59], or age [60–62], could play a very important role in the perception of stress.”
Background
Reposting negative information on microblogs: Do personality traits matter?
Yin, C., Zhang, X., & Liu, L. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.102106 · Cited by 63
Technostress Creators and Burnout: A Job Demands-Resources Perspective
Mahapatra, M., & Pati, S. P. (2018) · Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research · doi:10.1145/3209626.3209711 · Cited by 62
“previous research treated TS creators as a second order factor [36, 44, 43], which we believe reduced the explanatory power of the construct.”
BackgroundMethodInfluential
How technostressors influence job and family satisfaction: Exploring the role of work–family conflict
Shi, S., Chen, Y., & Cheung, C. M. K. (2023) · Information Systems Journal · doi:10.1111/isj.12431 · Cited by 77
“For example, computers have made workplaces more efficient and effective, and employees may be expected to accomplish more work in less time to match this technological potential (Mandel, 2005), or to address multiple tasks simultaneously (Srivastava et al., 2015).”
Background
Ambivalence and Coping Responses in Post-Adoptive Information Systems Use
Qahri‐Saremi, H., & Turel, O. (2020) · Journal of Management Information Systems · doi:10.1080/07421222.2020.1790193 · Cited by 63
“IS use––also known as “subjective ambivalence” [57] and “felt ambivalence” [48].”
Background
Examining technostress and its impact on worker well-being in the digital gig economy
Umair, A., Conboy, K., & Whelan, E. (2023) · Internet Research · doi:10.1108/intr-03-2022-0214 · Cited by 76
“, 2011) and consequences (Ragu-Nathan et al., 2008; Srivastava et al., 2015;Wang et al., 2008), classifying technostressors (Tarafdar et al.”
BackgroundMethodInfluential
The effect of process tailoring on software project performance: The role of team absorptive capacity and its knowledge‐based enablers
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Techno-Stress Creators, Burnout and Psychological Health among Remote Workers during the Pandemic: The Moderating Role of E-Work Self-Efficacy
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Leadership and technostress: A systematic literature review
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How to prevent technostress at the digital workplace: a Delphi study
Berger, M., Schäfer, R., Schmidt, M., Regal, C., & Gimpel, H. (2023) · Journal of Business Economics · doi:10.1007/s11573-023-01159-3 · Cited by 58
“Overall, by uniting different perspectives on technostress prevention, we contribute towards substantial benefits for organizations, individuals, and societies by potentially reducing healthcare costs and preventing adverse personal and organizational outcomes (Maier et al. 2015; Ragu-Nathan et al. 2008; Srivastava et…”
Background
The dark side of consumer life in the age of virtual and mobile technology
Zolfagharian, M., & Yazdanparast, A. (2017) · Journal of Marketing Management · doi:10.1080/0267257x.2017.1369143 · Cited by 62
Techno-overload and well-being of French small business owners: identifying the flipside of digital technologies
Thurik, R., Benzari, A., Fisch, C. O., Mukerjee, J., & Torrès, O. (2023) · Entrepreneurship and Regional Development · doi:10.1080/08985626.2023.2165713 · Cited by 61
“Finally, Srivastava, Chandra, and Shirish (2015) found that technostress creators including techno-overload were positively associated with job burnout of managers, another negative well-being outcome.”
Background
Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems
Issa, H., Jaber, J., & Lakkis, H. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123311 · Cited by 55
The Motivations for and Well-Being Implications of Social Media Use at Work among Millennials and Members of Former Generations
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Technology-Induced Stress, Sociodemographic Factors, and Association with Academic Achievement and Productivity in Ghanaian Higher Education during the COVID-19 Pandemic
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The impact of excessive social media use at work: a usage experience–stressor–strain perspective
Yu, L., Zhong, Y., Sun, Y., & Qin, G. (2022) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2054358 · Cited by 54
“Stressors that create stress can increase behavioural strainrelated outcomes for employees, including job dissatisfaction, lower job engagement, and poor task performance (Ragu-Nathan et al. 2008; Srivastava, Chandra, and Shirish 2015; Tarafdar, Pullins, and Ragu-Nathan 2015).”
Background
Deconstructing Technostress: A Configurational Approach to Explaining Job Burnout and Job Performance
Pflügner, K., Maier, C., Thatcher, J. B., Mattke, J., & Weitzel, T. (2024) · MIS Quarterly · doi:10.25300/misq/2023/16978 · Cited by 61
Meta-analytic five-factor model personality intercorrelations: Eeny, meeny, miney, moe, how, which, why, and where to go.
Park, H. (., Wiernik, B. M., Oh, I.-S., Gonzalez-Mulé, E., Ones, D. S., & Lee, Y. (2020) · Journal of Applied Psychology · doi:10.1037/apl0000476 · Cited by 57
Modeling the impact of techno‐stress and burnout on employees’ work‐life balance and turnover intention: A job demands‐resources theory perspective
Sharma, I., & Tiwari, V. (2023) · Global Business and Organizational Excellence · doi:10.1002/joe.22206 · Cited by 73
Techno‐eustress creators: Conceptualization and empirical validation
Tarafdar, M., Stich, J., Maier, C., & Laumer, S. (2024) · Information Systems Journal · doi:10.1111/isj.12515 · Cited by 71
“Techno-invasion, for The negative relationship between techno-distress creators and user satisfaction has been documented in a number of studies (e.g., Srivastava et al., 2015; Tarafdar et al., 2010).”
Using Polynomial Modeling to Understand Service Quality in E–Government Websites1
Nishant, R., Srivastava, S. C., & Teo, T. S. H. (2019) · MIS Quarterly · doi:10.25300/misq/2019/12349 · Cited by 56
Self-citation
Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation
Maier, C., Laumer, S., Thatcher, J. B., Wirth, J., & Weitzel, T. (2022) · Information Systems Research · doi:10.1287/isre.2021.1047 · Cited by 56
“2019) and technostress creators translate into individual responses (Srivastava et al. 2015).”
BackgroundInfluential
Hybrid and virtual work settings; the interaction between technostress, perceived organisational support, work-family conflict and the impact on work engagement
Harunavamwe, M., & Kanengoni, H. (2023) · African Journal of Economic and Management Studies · doi:10.1108/ajems-07-2022-0306 · Cited by 81
Technostress in Spanish University Students: Validation of a Measurement Scale
Abilleira, M. P., Rodicio-García, M.-L., Ríos-de-Deus, M.-P., & Mosquera-González, M.-J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.582317 · Cited by 56
“…within an organization, or when technological demands exceed the resources or capacity to face them (Tarafdar et al., 2010, 2015; Ayyagari et al., 2011; Hung et al., 2011; Fuglseth and Sørebø, 2014; Yin et al., 2014; Galluch et al., 2015; Srivastava et al., 2015; Fischer and Riedl, 2017).”
Background
Technostress: A catalyst to leave the teaching profession - A survey designed to measure technostress among teachers in Pakistan during COVID-19 pandemic
Siddiqui, S., Arif, I., & Hinduja, P. (2022) · E-Learning and Digital Media · doi:10.1177/20427530221107506 · Cited by 45

Authors: Srivastava, S. C., Chandra, S., & Shirish, A.
Affiliations: HEC Paris (FR)
S P Jain School of Global Management (SG)
Institut Mines-Télécom (FR)
Corresponding author: Srivastava, Shirish C.
ORCID: Srivastava, Shirish C.
Chandra, Shalini
Shirish, Anuragini
Venue: Information Systems Journal
Publisher: Wiley
Published: 2015-05-15
Volume: 25
Issue: 4
Pages: 355-401
ISSN: 1350-1917 (ISSN-L)
1365-2575
DOI: 10.1111/isj.12067
OpenAlex: W1936925322
Semantic Scholar: f2851eced25cd4818210f117ac0b441b6a3d86e7
Cited by: 456
References: 150
Citations by year: 2026: 43 · 2025: 58 · 2024: 56 · 2023: 72 · 2022: 63 · 2021: 58 · 2020: 40 · 2019: 29 · 2018: 14 · 2017: 13 · 2016: 6 · 2015: 4
FWCI: 20.23
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Information Systems Journal (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Grenoble Ecole de Management (Post-Print) (submittedVersion)
HAL (submittedVersion)
Funders: HEC Paris Foundation
Topics: Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
Keywords: technostress, personality traits, Big Five personality traits, burnout, work engagement, transactional model of stress and coping, individual differences, moderating effect, business executives, information and communication technologies

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Technostress creators and job outcomes: theorising the moderating influence of personality traits

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