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PublicationPrinciples for the design of digital occupational health systems( 2019)
Scopus© Citations 16 -
PublicationDigital Occupational Health Systems : What Do Employees Think about it?(Springer Science + Business Media, 2017-08-22)A high rate of work-related accidents or diseases around the world not only threatens the health and wellbeing of employees, but also causes a considerable annual economic burden for organizations. One promising use of information technology would therefore be the management and prevention of occupational accidents and employee absenteeism. Although some companies are starting to introduce digital occupational health initiatives, there is scarce evidence about the inhibiting factors which may discourage the wide adoption of such systems in the workforce. This paper presents qualitative and quantitative data of an exploratory study, which delves into the perceptions of employees towards the use of digital occupational health systems. Our results show that employees are usually aware of the enhanced possibilities for managing and improving their health and wellbeing through such corporate initiatives. However, privacy concerns and the additional mental pressure caused by such systems, significantly diminishes an employee’s willingness to adopt them.Type:Journal:Issue:
Scopus© Citations 16 -
PublicationAnalyzing Affordances of Digital Occupational Health Systems(Proceedings of the 50th Annual Hawaii International Conference on System Sciences (HICSS), 2017)
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PublicationThe Current State of and Possible Future Avenues for IT Value Research: A Review of the past 10 Years(Association for Information Systems, 2015-05-26)Since the ongoing proliferation of information technology (IT) in our private and professional lives, researchers have been concerned with the conceptualization and measurement of the value that technology brings us. To this end, researchers have based their assumptions and theories on the technological achievements and perceptions of technology at that time. Ever since the introduction of smart phones, broadband Internet, and social networks, much has changed in the way we perceive and appropriate IT value. In order to identify possible white spots for future research, we present a systematic literature review of the past 10 years of research in this area. In doing so, we develop a taxonomy for analyzing the IT value literature. The results of our analysis indicate that the majority of current work focuses on ex post measurement of the monetary value of IT for businesses. Only a few articles were found that employed an alternative lens in defining IT value. With the blurring boundaries between private and professional life, these approaches become increasingly more important. We discuss the general implications of our findings with a view to possible new themes for the next years of research.
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PublicationDesign Principles for Digital Occupational Health Systems(Springer International Publishing - Springer, 2017-05-28)Advancements in low-cost and unobtrusive wearable computing devices have prompted employers to begin providing their employees with wearable technology as a part of corporate wellness programs. While the adoption of wearable health-tracking systems might improve employees’ wellbeing, the introduction of such systems in organizational settings might also instigate certain tensions, in particular those between privacy and wellbeing, and work and private life. This study was based on an analysis of these tensions; following the design science research paradigm, design principles were derived to minimize such strain.Type:Volume:Issue:
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PublicationUsing affordance analysis to design individual analytics ecosystemsOrganisations in Asia and worldwide are actively looking for ways to take advantage of big-data analytics. Big-data analytics is, however, mostly applied to well-known use cases in financial analysis and profiling [1]. A high rate of work-related accidents or diseases as well as the rapid ageing of the population around the world not only have an impact on productivity and profitability of enterprises, but also threaten the lives of employees [2]. One promising use case for big-data analytics would therefore be the management and prevention of occupational accidents or work-related diseases. Employee’s work behaviour and health-related data can be integrated to detect correlations and patterns and recognise core drivers of human behaviour at the individual or organisational level [3]. This means that the analytics focus shifts from understanding aggregates (patterns, segments, etc.) to understanding actions and behaviour of individuals. The success of using big data for individual behaviour change and awareness creation is, however, dependent on mutual value creation for both individuals and enterprises – a big difference to traditional use cases of big data. We therefore encourage an alternative approach, one that suggests perceiving and designing such big data infrastructures as an “ecosystem” which can function properly only if the individual and organisational values are aligned and compromised.
