Suchergebnisse

Purpose
To better understand the use intensity of e-government service offerings among citizens, a considerable number of studies have examined correlations between various attitudinal constructs related to such offerings and citizens' service adoption (intentions). This investigational paper aims to take a different angle by exploring associations between a set of 11 objectively identifiable household and individual behavioral and socio-demographic characteristics on the one side and three levels of e-government services use on the other.


Design/methodology/approach
The empirical analysis is based on survey responses of a random sample of 17,012 individuals residing in Germany.


Findings
Ordinal logistic regression analysis suggests that citizens with low use levels of public e-service offerings are most likely younger male persons with low levels of computer literacy, internet affinity and education, who have a migration background and live in small mid-level-income households located in rural communities.


Practical implications
The findings imply that public institutions may find it difficult to rapidly raise e-government acceptance by distributing only "technocratic" information explaining various service options. Public authorities should consider supplementing "pure" information programs by measures which ensure that the software of e-government service platforms is designed in a way guaranteeing a very high level of "usability". Furthermore, they should analyze whether the benefits of providing e-government services in specific foreign languages outweigh the costs of such a service extension. If this is the case, an easy-to-use software menu item should be introduced which enables citizens to switch to another common foreign language.


Originality/value
The contribution of this paper results from the analysis of a set of objective predictors of e-government service use in a large random sample of citizens residing in Germany, whereas most prior studies are based on surveys of small convenience samples in other countries.

Objective (1) To assess mental workloads of intensive care unit (ICU) nurses in 12-hour working shifts (days and nights) using eye movement data; (2) to explore the impact of stress on the ocular metrics of nurses performing patient care in the ICU. Background Prior studies have employed workload scoring systems or accelerometer data to assess ICU nurses' workload. This is the first naturalistic attempt to explore nurses' mental workload using eye movement data. Methods Tobii Pro Glasses 2 eye-tracking and Empatica E4 devices were used to collect eye movement and physiological data from 15 nurses during 12-hour shifts (252 observation hours). We used mixed-effect models and an ordinal regression model with a random effect to analyze the changes in eye movement metrics during high stress episodes. Results While the cadence and characteristics of nurse workload can vary between day shift and night shift, no significant difference in eye movement values was detected. However, eye movement metrics showed that the initial handoff period of nursing shifts has a higher mental workload compared with other times. Analysis of ocular metrics showed that stress is positively associated with an increase in number of eye fixations and gaze entropy, but negatively correlated with the duration of saccades and pupil diameter. Conclusion Eye-tracking technology can be used to assess the temporal variation of stress and associated changes with mental workload in the ICU environment. A real-time system could be developed for monitoring stress and workload for intervention development.

Objective To identify physiological correlates to stress in intensive care unit nurses. Background Most research on stress correlates are done in laboratory environments; naturalistic investigation of stress remains a general gap. Method Electrodermal activity, heart rate, and skin temperatures were recorded continuously for 12-hr nursing shifts (23 participants) using a wrist-worn wearable technology (Empatica E4). Results Positive correlations included stress and heart rate (ρ = .35, p < .001), stress and skin temperature (ρ = .49, p < .05), and heart rate and skin temperatures (ρ = .54, p = .0008). Discussion The presence and direction of some correlations found in this study differ from those anticipated from prior literature, illustrating the importance of complementing laboratory research with naturalistic studies. Further work is warranted to recognize nursing activities associated with a high level of stress and the underlying reasons associated with changes in physiological responses. Application Heart rate and skin temperature may be used for real-time detection of stress, but more work is needed to validate such surrogate measures.