The Bright and Dark Sides of Technostress: A Mixed-Methods Study Involving Healthcare IT

Califf, Christopher B.; Sarker, Saonee; Sarker, Suprateek

doi:10.25300/misq/2020/14818

Cited by 236 publications

(267 citation statements)

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“…By showing that childcare workers are affected by technostress due to the emergent digital transformation of childcare (Yost and Fan, 2014 ), our study demonstrated that technostress also impacts individual job outcomes beyond the “usual suspects” in high-tech and/or business environments. In care professions, like childcare, ICT has been introduced more sudden compared to, for example, office jobs and blue-collar jobs, where such transformations have occurred more gradually (Califf et al, 2015 ; Fagerström et al, 2017 ). Another contribution to the contextualization of technostress is the empirical link with quality of care delivered.…”

Section: Discussionmentioning

confidence: 99%

“…To date, technostress research has been mostly restricted to contexts like government, industry (Ayyagari et al, 2011 ) and education (Wang W. et al, 2020 ; Penado Abilleira et al, 2021 ). However, technostress is an increasingly prevalent and severe phenomenon in care professions (Califf et al, 2015 ; Fagerström et al, 2017 ). Childcare workers in particular constitute a group whose work-related well-being is continuously challenged, since they are regularly confronted with physical complaints (e.g., noise, musculoskeletal complaints), emotional demands (e.g., emotional responses from children and parents), and operate in a highly regulated environment (Decker et al, 2002 ; Løvgren, 2016 ; Koch et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

“…Like general stress, technostress is context specific La Torre et al ( 2019 ). By expanding the knowledge on technostress in care professions (Califf et al, 2015 ; Fagerström et al, 2017 ), this study furthers the work of Tarafdar et al ( 2015 ) on the contextualization of technostress, demonstrating that this phenomenon is not limited to high-tech or business environments (Wang W. et al, 2020 ), but also affect employees in sectors that are currently making significant ICT investments to improve their professional services (Yost and Fan, 2014 ) and have traditionally received less attention in this regard. Second, by accounting for empowering leadership we contribute to the growing literature on this leadership approach (Dinh et al, 2014 ; Cheong et al, 2019 ) and extend the emergent body of research on the importance of leadership in the contemporary ICT-infused workplace (Cortellazzo et al, 2019 ; Gardner et al, 2020 ; Iannotta et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…Technostress seems increasingly prevalent and severe among care professionals. While several sectors have witnessed increases in the adoption and intensity of ICT in their work over the past few years, such transformations have been relatively abrupt in professional care, compared to government and business environments, where such transformations have occurred more gradually (Califf et al, 2015 ; Fagerström et al, 2017 ). In particular, many childcare organizations in recent years saw the introduction of digital parent environments (i.e., web-based page or app to share information about the child with their parents), the emergence of social media pages, and the digitization of administrative rules and procedures among other technological developments (Yost and Fan, 2014 ; Bauwens and Meyfroodt, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

“…In childcare organizations, one of the main aspects of performance is quality of care delivered, or the extent to which effective care is provided to those who require it (Humphries et al, 2014 ). In person care environments, there are typically limits to the extent to which ICT tasks and care duties are compatible with one another (Califf et al, 2015 ). For example, changing diapers or feeding and playing with children is often difficult to combine with ICT tasks like handling administration and communicating with parent through social media.…”

Section: Introductionmentioning

confidence: 99%

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Purpose: Recent studies have called for more contextual studies of technostress and the role leaders can have in this experience. While technostress is an increasingly prevalent and severe phenomenon in care professions, limited studies have addressed its potential negative consequences for employee well-being and quality of care delivered in this sector or, more importantly, examined how the adverse consequences of technostress could be mitigated. Therefore, the present study addresses this gap by investigating how technostress in childcare affects quality of care delivered via emotional exhaustion and what influence empowering leadership plays in this relationship.Design/methodology approach: Incorporating the views of 339 Dutch childcare workers, this study tests a model in which technostress influences quality of care delivered, mediated by emotional exhaustion and moderated by empowering leadership.Findings: Results confirm that techno-invasion and techno-overload predict higher emotional exhaustion and lower quality of care delivered among childcare workers. Empowering leadership reduced the influence of techno-invasion on emotional exhaustion but strengthened the influence of techno-overload.Originality/value: Our results provide childcare organizations with relevant information on the increasing use of ICT that influences both childcare workers' well-being and quality of care they deliver. Important implications are suggested for leadership geared at stimulating employees' responsibility and accountability for different dimensions of technostress.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Going beyond the limitations of technology, time, and platform lifecycles, achieving long‐term preservation of social media collective memory is an important issue. As a social action involving multiple stakeholders, social media preservation faces a complex problem space. Taking China as an example, this study revealed, from the perspective of stakeholders, the underlying logic of cultural, ethical, legal, and other issues that social media preservation encounters, namely, the tension arising from differences in stakeholders' interests and power inequalities. We specifically investigated and analyzed five categories of stakeholders and revealed six tensions among them in the power/interest matrix. In the final discussion, we analyzed what proactive and inclusive preservation actions should be. Our research not only contributes to the development of theories for social media preservation in information science but also provides clues for state regulators and memory institutions to make responsible and inclusive decisions.

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As the widespread use of algorithms and artificial intelligence (AI) technologies, understanding the interaction process of human–algorithm interaction becomes increasingly crucial. From the human perspective, algorithmic awareness is recognized as a significant factor influencing how users evaluate algorithms and engage with them. In this study, a formative study identified four dimensions of algorithmic awareness: conceptions awareness (AC), data awareness (AD), functions awareness (AF), and risks awareness (AR). Subsequently, we implemented a heuristic intervention and collected data on users' algorithmic awareness and FAT (fairness, accountability, and transparency) evaluation in both pre‐test and post‐test stages (N = 622). We verified the dynamics of algorithmic awareness and FAT evaluation through fuzzy clustering and identified three patterns of FAT evaluation changes: “Stable high rating pattern,” “Variable medium rating pattern,” and “Unstable low rating pattern.” Using the clustering results and FAT evaluation scores, we trained classification models to predict different dimensions of algorithmic awareness by applying different machine learning techniques, namely Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and XGBoost (XGB). Comparatively, experimental results show that the SVM algorithm accomplishes the task of predicting the four dimensions of algorithmic awareness with better results and interpretability. Its F1 scores are 0.6377, 0.6780, 0.6747, and 0.75. These findings hold great potential for informing human‐centered algorithmic practices and HCI design.

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The Bright and Dark Sides of Technostress: A Mixed-Methods Study Involving Healthcare IT

Cited by 236 publications

References 0 publications

Can Leaders Prevent Technology From Backfiring? Empowering Leadership as a Double-Edged Sword for Technostress in Care

Can Leaders Prevent Technology From Backfiring? Empowering Leadership as a Double-Edged Sword for Technostress in Care

For perpetuating social media collective memory proactively and inclusively: Explore the interests and tensions of stakeholders in preservation actions

Dynamic algorithmic awareness based on FAT evaluation: Heuristic intervention and multidimensional prediction

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