Digital Occupational Health Systems: What Do Employees Think about it?

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.

[1]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[2]  H. Jeff Smith,et al.  Information Privacy: Measuring Individuals' Concerns About Organizational Practices , 1996, MIS Q..

[3]  J. M. Cortina,et al.  What Is Coefficient Alpha? An Examination of Theory and Applications , 1993 .

[4]  Claudio Vitari,et al.  DDGS Affordances for Value Creation , 2014 .

[5]  Hee-Woong Kim,et al.  A mixed methods approach to electronic word-of-mouth in the open-market context , 2013, Int. J. Inf. Manag..

[6]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[7]  D. Straub,et al.  Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .

[8]  Georges M. Fadel,et al.  An affordance-based approach to architectural theory, design, and practice , 2009 .

[9]  D. J. Wu,et al.  IT Implementation Contract Design: Analytical and Experimental Investigation of IT Value, Learning, and Contract Structure , 2013, Inf. Syst. Res..

[10]  Christoph Rosenkranz,et al.  Identification of Different affordances of Information Technology Systems: an Empirical Study , 2014, ECIS.

[11]  Tom Cox,et al.  Policy-level interventions and work-related psychosocial risk management in the European Union , 2010 .

[12]  Jianliang Xu,et al.  PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects , 2010, IEEE Transactions on Knowledge and Data Engineering.

[13]  Ian Hutchby,et al.  Technologies, Texts and Affordances , 2001 .

[14]  S. Greenberg,et al.  The Psychology of Everyday Things , 2012 .

[15]  Kara A. Latorella,et al.  The Scope and Importance of Human Interruption in Human-Computer Interaction Design , 2002, Hum. Comput. Interact..

[16]  S. Corbellini,et al.  A System for Monitoring Workers' Safety in an Unhealthy Environment by means of Wearable Sensors , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[17]  S. Faraj,et al.  The Materiality of Technology: An Affordance Perspective , 2013 .

[18]  Anne-Laure Fayard,et al.  Affordances for practice , 2014, Inf. Organ..

[19]  Nan Wang,et al.  How Should Technology Affordances Be Measured? An Initial Comparison of Two Approaches , 2015, AMCIS.

[20]  Gabriele Piccoli,et al.  Harvesting External Data: The Potential of Digital Data Streams , 2013, MIS Q. Executive.

[21]  W. Davis The Ecological Approach to Visual Perception , 2012 .

[22]  Paul M. Leonardi,et al.  When Flexible Routines Meet Flexible Technologies: Affordance, Constraint, and the Imbrication of Human and Material Agencies , 2011, MIS Q..

[23]  R. Stine,et al.  Bootstrapping Goodness-of-Fit Measures in Structural Equation Models , 1992 .

[24]  Christoph Rosenkranz,et al.  The Impact of Functional Affordances and Symbolic Expressions on the Formation of Beliefs , 2015, J. Assoc. Inf. Syst..

[25]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[26]  Mary J. Culnan,et al.  How Ethics Can Enhance Organizational Privacy: Lessons from the ChoicePoint and TJX Data Breaches , 2009, MIS Q..

[27]  J. Rossiter,et al.  The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs , 2007 .

[28]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[29]  G. Robert,et al.  Diffusion of innovations in service organizations: systematic review and recommendations. , 2004, The Milbank quarterly.

[30]  Gerrit C. van der Veer,et al.  DUTCH: Designing for Users and Tasks from Concepts to Handles , 2003 .

[31]  Guang-Zhong Yang,et al.  Real-Time Activity Classification Using Ambient and Wearable Sensors , 2009, IEEE Transactions on Information Technology in Biomedicine.

[32]  Donald A. Norman,et al.  Affordance, conventions, and design , 1999, INTR.

[33]  M. Swan Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen , 2012, Journal of personalized medicine.

[34]  I. Ajzen,et al.  Attitude-behavior relations: A theoretical analysis and review of empirical research. , 1977 .

[35]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[36]  Claudio Vitari,et al.  Affordance Theory in the IS Discipline: a Review and Synthesis of the Literature , 2014, AMCIS.

[37]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[38]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[39]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[40]  Anselm L. Strauss,et al.  Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .

[41]  M LeonardiPaul When does technology use enable network change in organizations? a comparative study of feature use and shared affordances , 2013 .

[42]  M. Lynne Markus,et al.  A Foundation for the Study of IT Effects: A New Look at DeSanctis and Poole's Concepts of Structural Features and Spirit , 2008, J. Assoc. Inf. Syst..

[43]  F. Zijlstra,et al.  Temporal factors in mental work: Effects of interrupted activities , 1999 .

[44]  Amany R. Elbanna,et al.  The formation of technology mental models: the case of voluntary use of technology in organizational setting , 2015, Inf. Syst. Frontiers.

[45]  Shaul Oreg,et al.  Resistance to change: developing an individual differences measure. , 2003, The Journal of applied psychology.

[46]  Tao Cheng,et al.  Data Fusion of Real-Time Location Sensing and Physiological Status Monitoring for Ergonomics Analysis of Construction Workers , 2013, J. Comput. Civ. Eng..

[47]  P. Leonardi,et al.  What’s Under Construction Here? Social Action, Materiality, and Power in Constructivist Studies of Technology and Organizing , 2010 .

[48]  Jun Sun,et al.  Understanding health information technology adoption: A synthesis of literature from an activity perspective , 2015, Inf. Syst. Frontiers.

[49]  Ann Majchrzak,et al.  Technology Affordances and Constraints in Management Information Systems (MIS) , 2012 .

[50]  Shyamal Patel,et al.  A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.

[51]  D. Asch,et al.  Wearable devices as facilitators, not drivers, of health behavior change. , 2015, JAMA.

[52]  Armin Bolz,et al.  Key factors for personal health monitoring and diagnosis device , 2002, Mobile Computing in Medicine.

[53]  Alessandro Soro,et al.  Exploring Physical Activities in an Employer-Sponsored Health Program , 2015, CHI Extended Abstracts.

[54]  J W van der Gulden,et al.  Work related risk factors for musculoskeletal complaints in the nursing profession: results of a questionnaire survey. , 1996, Occupational and environmental medicine.

[55]  M. Frings-Dresen,et al.  Psychosocial work environment and stress-related disorders, a systematic review. , 2010, Occupational medicine.

[56]  Philip Fei Wu,et al.  A Mixed Methods Approach to Technology Acceptance Research , 2011, J. Assoc. Inf. Syst..

[57]  Chelsea Hicks,et al.  Privacy and biometrics: An empirical examination of employee concerns , 2016, Information Systems Frontiers.

[58]  Izak Benbasat,et al.  The Adoption and Use of IT Artifacts: A New Interaction-Centric Model for the Study of User-Artifact Relationships , 2009, J. Assoc. Inf. Syst..