Information technology use for work and technostress: effects of power distance and masculinity culture dimensions

Ma, Yue; Turel, Ofir

doi:10.1007/s10111-018-0503-1

Cited by 21 publications

(18 citation statements)

References 62 publications

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“…Some studies open a new explorable pathway with regards to cultural differences and whether they play a role in technostress development. For example, a recent one by Ma and Turel (2019) found that employees higher in power distance and masculinity felt technostress more intensely and the impact was more amplified for them in a Chinese sample. In another one, Krishnan (2017) investigated personality and espoused cultural differences as technostress creators and found both affect technostress levels of Indian workers.…”

Section: Discussionmentioning

confidence: 97%

The moderating roles of technological self-efficacy and time management in the technostress and employee performance relationship through burnout

Yener

Arslan

Kılınç

2020

ITP

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PurposeThe ongoing dispute as to whether using technology extensively at work may cause harm continues to gain momentum. Thus, the need for more research on the harmful effect of using technology at work and on the indirect effects on work performance is needed. The call for additional moderators in technostress research is still ongoing. The research contributes to the abovementioned gaps in the literature by analyzing a model with two moderators.Design/methodology/approachThe sample population was chosen randomly from the lists provided by civil-servant unions and the chamber of commerce subsidiaries in the northwest region of Turkey. The employees received letters that explained the purpose of the study; the questionnaires sent to them. Out of 500 forms, 328 were returned. PLS-SEM technique was selected for hypothesis testing.FindingsThe results revealed support for all the hypotheses, and proposed moderators can be used to mitigate the harms of technostress and burnout. The findings have implications for both theory and practice.Research limitations/implicationsThe limitation of this research is its sample characteristics. Due to the cross-sectional nature of the data set, it is difficult to claim causality. Therefore, readers should use caution when extending generalizations to a broader population. As for the theoretical implications, the interest in the challenges posed by various technologies in the workplace on human psychology and health over the long term is quite new. And there is still room for other mediating and moderating mechanism for the interplay between technostress and related outcomes.Practical implicationsOne of the practical implications is that technology at work might have the potential to create stress, sometimes greater than its benefits. The effects that might be created by other sources of stress when combined with stress related to technology in the workplace should also be taken seriously. There are tools to reduce the harm caused by technostress that practitioners could make use of such as time-management interventions.Originality/valueThe dispute whether using technology extensively at work may cause harm rather than advantage continues to confuse people, and with time it is gaining momentum. Thus, there is necessity for more research on the harms of technology, and especially on the indirect effects on work performance. Second, the vast technostress literature seems to neglect to discern task performance from contextual one as the dependent variable. Lastly, the call for additional moderators in technostress research is still prevailing. The research contributes to the abovementioned gaps in the literature by analyzing a model with two moderators.

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Section: Discussionmentioning

confidence: 97%

The moderating roles of technological self-efficacy and time management in the technostress and employee performance relationship through burnout

Yener

Arslan

Kılınç

2020

ITP

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“…Techno-uncertainty is said to be the feeling of helplessness of the users regarding the ability to catch up with the technology changes (Ma & Turel, 2019). Some researchers define technouncertainty as a situation where an ICT user hesitant and disturbed because ICT is continually changing and needs to be upgraded (Juškaitė, 2017).…”

Section: Techno-uncertaintymentioning

confidence: 99%

“…Some researchers define technouncertainty as a situation where an ICT user hesitant and disturbed because ICT is continually changing and needs to be upgraded (Juškaitė, 2017). These changes include the change and upgrading of software, hardware, applications, systems, and even the networks used (Ma & Turel, 2019;Marchiori, Mainardes, & Rodrigues, 2019). assert that rapid and frequent changes in technology result in individuals feel a lot of uncertainty and ambiguity that can cause stress.…”

Section: Techno-uncertaintymentioning

confidence: 99%

“…Nevertheless, the main points would be regarding the amount of workload because of the handiness of the mobile technology that could be invading the personal lives of students no matter where and what the time is. In a study conducted by Ma and Turel (2019), they discover that techno-uncertainty is mostly found among the female workers who have been working and using the same technologies over a long period compared to the male workers. However, it is proved in a study by that no matter what is the level of their technostress is, it will not affect the level of the users' commitment.…”

Section: Techno-uncertaintymentioning

confidence: 99%

“…(Juškaitė, 2017). Previous studies (Hwang & Cha, 2018;Kader et al, 2020;Ma & Turel, 2019;Nimrod, 2018;Oh & Park, 2016) have reported that excessive technostress can negatively affect individuals in terms of physical and psychological health and their social relationships.…”

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Exploratory Factor Analysis of Technostress among University Students

Aziz¹,

Yazid²

2021

IJARPED

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Research on technostress has been extensively conducted in various fields. However, research on technostress is still lacking in the context of university online learning, specifically in Malaysian public universities. This study aims to develop a technostress-related instrument that suits the context of university students. This study has adopted and adapted the instrument of technostress from the previous researchers and validated the construct using Exploratory Factor Analysis (EFA). A cross-sectional study was conducted on 338 undergraduate students in all UiTM branches in East Malaysia, using a simple random sampling method. A structured survey was used to gather the necessary information. The final analysis found that no items were omitted. Based on EFA, this study finalised the instrument to twenty-two (22) items yielding only four dimensions, i.e., techno-overload (9 items), techno-complexity (6 items), techno-insecurity (4 items), and techno-uncertainty (3 items). The high-reliability standards shown in Cronbach's alpha for each component explain that the proposed instrument is reliable and suitable for measuring technostress constructs. The results have statistically proven that these items have a high level of validity and reliability and can be used to measure technostress among university students. This instrument developed in this study can be considered for future research to measure technostress in the context of university students as a better alternative than using existing instruments used on employees in ICT organisations.

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Teleworking and technostress: early consequences of a COVID-19 lockdown

Camacho

Barrios²

2022

Cogn Tech Work

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This paper analyzes teleworkers’ technostress evolution over time, as well as its effects on these individuals’ work-related well-being over time. The proposed research model was tested using a survey-based longitudinal study with individuals that forcibly moved to teleworking in the context of a COVID-19 lockdown at two points in time (T0 and T1). Results indicate that two techno-stressors (work–home conflict and work overload) generated strain in teleworkers, which in turn decreased their satisfaction with telework and perceived job performance. In addition, teleworkers experienced two types of enduring technostress: synchronous effect (i.e., stressors generating strain at T1), and a cumulative reverse causation effect (i.e., strain at T0 has an effect on stressors at T1). These findings contribute to cognition, work, and technology literature by providing a more complete understanding of teleworkers’ technostress and its possible cumulative effects over time. Practical insights for managing technostress when moving to and remaining in teleworking are provided.

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Information technology use for work and technostress: effects of power distance and masculinity culture dimensions

Cited by 21 publications

References 62 publications

The moderating roles of technological self-efficacy and time management in the technostress and employee performance relationship through burnout

The moderating roles of technological self-efficacy and time management in the technostress and employee performance relationship through burnout

Exploratory Factor Analysis of Technostress among University Students

Teleworking and technostress: early consequences of a COVID-19 lockdown

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