Maedeh Yassaee
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Yassaee
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Maedeh

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  • Publication
    Principles for the design of digital occupational health systems
    ( 2019)
    Yassaee, Maedeh
    ;
    Mettler, Tobias
    ;
    Winter, Robert orcid-logo
    There is a growing body of literature that addresses the importance of health and wellbeing in the workplace, and the effectiveness of corporate wellness programs. Following advancements in low-cost and unobtrusive computing technology, an emerging trend in corporate wellness programs is to offer wearable devices to employees. These devices monitor employees' physiological and environmental conditions in order to improve their awareness of their personal health. In addition, organizations can harness the aggregated anonymized data provided by such technology to investigate ways of improving the work environment. However, promoting digital health monitoring systems introduces new dynamic interactions between the social actors and technology. Three main categories of strain caused by the use of these systems in a work environment are value tensions (privacy vs. wellbeing); action tensions (work vs. leisure activities), and role tensions (leisure vs. work roles). Based on an analysis of these tensions, design principles for digital occupational health systems are derived that minimize strain and have much bigger chances to be accepted and thus to create value for all stakeholders. Consequently, this study follows the design science research paradigm to derive design principles.
    Type: journal article
    Journal: Information and Organization
    Volume: 29
    Issue: 2
    DOI: 10.1016/j.infoandorg.2019.04.005
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/99736
    Scopus© Citations 16
  • Publication
    Analyzing Affordances of Digital Occupational Health Systems
    (Proceedings of the 50th Annual Hawaii International Conference on System Sciences (HICSS), 2017)
    Yassaee, Maedeh
    ;
    Winter, Robert orcid-logo
    This study adopts two distinct perspectives, employer and employee, to analyze the affordances of digital occupational health (DOH) systems and their appropriation. Data were collected in the context of a European collaborative research project that aims at developing a data integration infrastructure for con-text-aware health surveillance at the workplace. For employers the main affordance was to detect and prevent the health issues of their workforce. The main affordance from employee’s point of view was the possibility of being more self-conscious at work. However, the application of these systems might instigate several tensions, in particular those between privacy and security / wellbeing, between work and leisure activities, and between work and leisure roles. The findings of this study allow to direct future research on DOH systems to focus and eventually derive design principles that promise DOH systems to gain better acceptance and create higher added-value for all involved stake-holders.
    Type: conference paper
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/103570
  • Publication
    Using affordance analysis to design individual analytics ecosystems
    (Swiss Re Centre for Global Dialogue, 2016-09-01)
    Yassaee, Mädeh
    ;
    Mettler, Tobias
    ;
    Winter, Robert orcid-logo
    Organisations 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.
    Type: journal issue (edt.)
    Journal: Laws of large numbers - Use of big data in Asian insurance markets
    URL: http://media.swissre.com/documents/RiskDialogueSeries_desease.pdf
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/103956