Teachers' Technostress Levels as an Indicator of Their Psychological Capital Levels

Efilti, Erkan; Çoklar, Ahmet Naci

doi:10.13189/ujer.2019.070214

Cited by 19 publications

(19 citation statements)

References 44 publications

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“…Female participants in this study reported higher technostress levels than males. This was also reported by Efilti and Naci Çoklar ( 2019 ) and Thomée et al ( 2012 ) who found that women experience higher levels of anxiety and exhaustion than men in the use of ITC’s. Margetić et al ( 2021 ) found that emotional distress during COVID-19 pandemic was more intensive in women and younger participants.…”

Section: Discussionsupporting

confidence: 80%

Effects of remote virtual work environment during COVID-19 pandemic on technostress among Menoufia University Staff, Egypt: a cross-sectional study

Gabr

Soliman

Allam

et al. 2021

Environ Sci Pollut Res

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Technostress during the COVID-19 pandemic has become more prevalent as a result of the global preventive measures applied to limit the spread of infection. These measures included remote working from home in both public and private organizations. The objective of this study is to study technostress and challenges of remote virtual work environment among university staff members at Menoufia University, Egypt. A cross-sectional study was conducted over Menoufia University academic staff members in Egypt. The participants were chosen from both practical and theoretical colleges in Menoufia University using a multistage random sample. Tarfadar technostress questionnaire was used. Cortisol blood level was measured for all participants. This study included 142 participants. The mean age of the group was 36.32±6.41 years. 52.1 percent worked in practical colleges, and 60.6% were lecturers or higher. Their mean cortisol level was 15.61±7.07mcg/dl. Participants who were females, reside in rural areas, held a lecturer or higher position, had poor work-environment WiFi, and lacked technical training had significantly higher levels of technostress subscales. Most of the technostress subscales were significantly correlated with age and blood cortisol levels. The predictors of work overload in multivariate regression were female gender and a work environment with poor WiFi. Female gender, theoretical colleges, being lecturer or higher, and poor WiFi were the predictors for invasion. Among university staff members, technostress was found to be evident. High levels of technostress were significantly influenced by age, higher professions, female gender, and a bad workplace environment.

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Section: Discussionsupporting

confidence: 80%

Effects of remote virtual work environment during COVID-19 pandemic on technostress among Menoufia University Staff, Egypt: a cross-sectional study

Gabr

Soliman

Allam

et al. 2021

Environ Sci Pollut Res

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show abstract

“…Female participants in this study reported higher technostress levels than males. This was also reported by (E lti & Naci Çoklar, 2019) and (Thomée et al, 2012) who found that women experience higher levels of anxiety and exhaustion than men in the use of ITC's. Liaw's study also indicated that males had more positive perceptions towards computers and Web technologies than females (Liaw, 2002).…”

Section: Discussionsupporting

confidence: 76%

Technostress and remote Virtual work environment among University Staff Members: A cross-sectional study

Marawan

Soliman

Allam

et al. 2021

Preprint

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Background Technostress during the COVID-19 pandemic has become more prevalent as a result of the global preventive measures applied to limit the spread of infection. These measures included remote working from home in both public and private organizations.ObjectivesTo study Technostress and challenges of remote Virtual work environment among University Staff Members at Menoufia University, Egypt.MethodsA cross-sectional study was conducted over Menoufia university academic staff members in Egypt. The participants were chosen from both practical and theoretical colleges in Menoufia University using a multistage random sample. Tarfadar techno-stress questionnaire was used. Cortisol blood level was measured for all participants.Results: This study included 142 participants. The mean age of the group was 36.32± 6.41 years. 52.1 percent worked in practical colleges, and 60.6 percent were lecturers or higher. Their mean cortisol level was 15.61± 7.07mcg/dl. Participants who were females, reside in rural areas, held a lecturer or higher position, had poor work-environment Wifi, and lacked technical training had significantly higher levels of technostress subscales. Most of the technostress subscales were significantly correlated with age and blood cortisol levels. The predictors of work overload in multivariate regression were female gender and a work environment with poor WIFI. Female gender, theoretical colleges, being lecturer or higher and poor WIFI were the predictors for invasion. ConclusionAmong university staff members, Technostress was found to be evident. High levels of technostress were significantly influenced by age, higher professions, female gender, and a bad workplace environment.

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“…Other variables were also related to technostress, such as teaching experience and the level of teachers’ psychological capital. It was thus concluded that technostress is an important predictor of the psychological capital and that a decrease in the technostress level will increase the level of psychological capital [ 81 ].…”

Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

Motivation and Continuance Intention towards Online Instruction among Teachers during the COVID-19 Pandemic: The Mediating Effect of Burnout and Technostress

Pânişoară

Lazar

Pânişoară

et al. 2020

IJERPH

174

131

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In-service teachers have various emotional and motivational experiences that can influence their continuance intention towards online-only instruction during the COVID-19 pandemic, as a significant stress factor for their workplace. Derived from the Self-Determination Theory (SDT), Job Demands–Resources Model (JD–R), and Technology Acceptance Model (TAM), the present research model includes technological pedagogical knowledge (TPK) self-efficacy (SE), intrinsic (IM) and extrinsic (EM) work motivation, and occupational stress (OS) (i.e., burnout and technostress which have been examined in tandem) as key dimensions to explain the better continuance intention among in-service teachers to use online-only instruction (CI). Data for the research model were collected from 980 in-service teachers during the COVID-19 outbreak between April and May 2020. Overall, the structural model explained 70% of the variance in teachers’ CI. Motivational practices were directly and indirectly linked through OS with CI. The findings showed that IM has the most directly significant effect on teachers’ CI, followed by TPK-SE, and OS as significant, but lower predictors. IM was positively associated with TPK-SE and negatively associated with EM. The results offered valuable insights into how motivation constructs were related to OS and to a better understanding online instruction in an unstable work context, in order to support teachers in coping during working remotely.

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Teachers' Technostress Levels as an Indicator of Their Psychological Capital Levels

Cited by 19 publications

References 44 publications

Effects of remote virtual work environment during COVID-19 pandemic on technostress among Menoufia University Staff, Egypt: a cross-sectional study

Effects of remote virtual work environment during COVID-19 pandemic on technostress among Menoufia University Staff, Egypt: a cross-sectional study

Technostress and remote Virtual work environment among University Staff Members: A cross-sectional study

Motivation and Continuance Intention towards Online Instruction among Teachers during the COVID-19 Pandemic: The Mediating Effect of Burnout and Technostress

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