Techno-Unreliability: A Pilot Study in the Field

Kalischko, Thomas; Fischer, Thomas; Riedl, René

doi:10.1007/978-3-030-28144-1_15

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…Based on the recent insights into the work life of software developers by Meyer et al (2017), who found that software developers, on average, use around 16 different applications per day and more than 40 per month, we can assume that unreliability of provided technologies might have a more substantial impact on overall job satisfaction in such a population. It would therefore be interesting to see additional, context-specific investigations into the effects of techno-unreliability, particularly in job environments that are characterised by a high dependence on technology (such as software engineering or service providers in social media marketing; first evidence of the physiological effects of techno-unreliability in such a sample population is provided in a pilot study by Kalischko, Fischer, and Riedl 2019).…”

Section: Resultsmentioning

confidence: 99%

On the stress potential of an organisational climate of innovation: a survey study in Germany

Fischer

Riedl

2020

Behaviour & Information Technology

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Section: Resultsmentioning

confidence: 99%

On the stress potential of an organisational climate of innovation: a survey study in Germany

Fischer

Riedl

2020

Behaviour & Information Technology

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“…Privacy concerns aggravate teachers’ technostress in online teaching. Self-efficacy in online pedagogy has been shown to alleviate teachers’ technostress ( Khedhaouria and Cucchi, 2019 ; Beare et al, 2020 ; Kalischko et al, 2020 ; Sinha et al, 2021 ; Hwang et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Technostress at work during the COVID-19 lockdown phase (2020–2021): a systematic review of the literature

et al. 2023

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Technostress is a psychosocial phenomenon associated with the use of technologies to the detriment of health, the same one that during the pandemic was accelerated in the work considering home confinement. This work aims to systematize the main research on the impact of technostress at work during the severe confinement stage of the pandemic, between the years 2020 and 2021, with the purpose of identify and evaluate its main determining factors. A systematic review of the literature was carried out during COVID-19, using the words “technostress work COVID-19.” The works found focus mainly on analyzing the creators and inhibitors of technostress in workers, as well as the main consequences of the materialization of this technological risk associated with work performance during the stage of confinement by COVID-19. Techno invasion and techno overload were identified as the main techno stressors, with the main type of technostress appreciated in the literature being techno fatigue. Technostress is identified as a problem that had direct and relevant effects during the season of severe confinement and remote work at home due to COVID-19; highlighting techno fatigue as the most frequent type of stress, and techno stressors such as techno invasion and overload as the ones that presented the highest incidence.

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“…Measures. As demonstrated by other researchers (e.g., [56,57]), we will collect HRV through a chest belt (Polar H7, linked to a smartphone app) to measure affective CX physiologically. We choose HRV because it is less obtrusive than other physiological measures, easier to use, widely accessible, and inexpensive [51].…”

Section: 3mentioning

confidence: 99%

Exploring the Influence of Personality Traits on Affective Customer Experiences in Retailing: Combination of Heart Rate Variability (HRV) and Self-report Measures

Hermes

Riedl

2021

Information Systems and Neuroscience

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As a result of changes i iors and a corresponding increase in omnichannel behavior (i.e., a blend of online and offline Affective CX responses are especially crucial in impacting a outcomes, such as a high level of future purchase intentions. Here, we hypothesize that a custome is significantly influenced by his or her personality traits. Based on this hypothesis, we plan to collect physiological data (heart rate variability) and self-report data to study affective CX. Specifically, we will examine the relationship between personality traits, affective CX, and future purchase channel choice intentions. Based on the findings, we will then formulate academic and managerial implications.

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Techno-Unreliability: A Pilot Study in the Field

Cited by 9 publications

References 32 publications

On the stress potential of an organisational climate of innovation: a survey study in Germany

On the stress potential of an organisational climate of innovation: a survey study in Germany

Technostress at work during the COVID-19 lockdown phase (2020–2021): a systematic review of the literature

Exploring the Influence of Personality Traits on Affective Customer Experiences in Retailing: Combination of Heart Rate Variability (HRV) and Self-report Measures

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