Book contents
- Cambridge Handbook of Qualitative Digital Research
- Cambridge Handbook of Qualitative Digital Research
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Philosophical, Epistemological and Theoretical Considerations
- Part II Methodological Considerations
- Part III Illustrative Examples and Emergent Issues
- Chapter 13 Observing Artifacts
- Chapter 14 Algorithms as Co-Researchers
- Chapter 15 Sensemaking about HRV Data of High-Performing Individuals
- Chapter 16 The Rich Facets of Digital Trace Data
- Chapter 17 Balancing the Momentum of Datafication with Qualitative Researchers as Design Thinkers
- Chapter 18 What Data Sharing in Government Tells Us about the Digitalization of Government Services
- Index
- References
Chapter 15 - Sensemaking about HRV Data of High-Performing Individuals
Crafting a Mixed Methods Study
from Part III - Illustrative Examples and Emergent Issues
Published online by Cambridge University Press: 08 June 2023
Book contents
- Cambridge Handbook of Qualitative Digital Research
- Cambridge Handbook of Qualitative Digital Research
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Part I Philosophical, Epistemological and Theoretical Considerations
- Part II Methodological Considerations
- Part III Illustrative Examples and Emergent Issues
- Chapter 13 Observing Artifacts
- Chapter 14 Algorithms as Co-Researchers
- Chapter 15 Sensemaking about HRV Data of High-Performing Individuals
- Chapter 16 The Rich Facets of Digital Trace Data
- Chapter 17 Balancing the Momentum of Datafication with Qualitative Researchers as Design Thinkers
- Chapter 18 What Data Sharing in Government Tells Us about the Digitalization of Government Services
- Index
- References
Summary
In collaboration with the HR team of a large IT service provider, this chapter relates to a study of fifty individuals who have been identified as high performers by their employer and the search for indicators and patterns of sustainable high performance.
The research design consisted of initial interviews at a virtual day, attendance of 2.5-day off-site coaching workshops and up to 60-minute follow-up interviews. During the workshop days, 24-hour heart rate variability (HRV) measurements were collected – a well-established biomarker of well-being, strain and recovery. As HRV data are difficult to analyze without contextual information, interviews, focus-group sessions, participatory observation and debriefing interviews were combined in order to contextualize the quantitative measurements and involve the participants in the interpretation and sense-making of the findings.
The methodological goal of this chapter is to demonstrate how orchestrating, improvising and performing a mixed-method study has been essential to validate, augment and complement quantitative data. The study results depend on the ability of the researchers to skilfully and empathetically engage with the interviewees and to engage them as participants in the interpretation of their data and thus as co-producers of meaning.
Keywords
- Type
- Chapter
- Information
- Cambridge Handbook of Qualitative Digital Research , pp. 229 - 246Publisher: Cambridge University PressPrint publication year: 2023
References
Ackroyd, J. and O’Toole, J. (2010). Performing Research: Tensions, Triumphs and Trade-Offs of Ethnodrama. Stoke-on-Trent, UK: Trentham.Google Scholar
Antonovsky, A. (1987). Unraveling the Mystery of Health: How People Manage Stress and Stay Well. San Francisco, CA: Jossey-Bass.Google Scholar
Ayyagari, R., Grover, V. and Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831–858.Google Scholar
Baptista, J., Stein, M.-K., Klein, S., Watson-Manheim, M. B. and Lee, J. (2020). Digital work and organisational transformation: Emergent digital/human work configurations in modern organisations. Journal of Strategic Information Systems, 29(2), article 101618.Google Scholar
Berntson, G. G., BiggerJr, J. T., Eckberg, D. L., Grossman, P., Kaufmann, P. G., Malik, M. et al. (1997). Heart rate variability: Origins, methods and interpretive caveats (Committee Report). Psychophysiology, 34(6), 623–648.Google Scholar
Cavanaugh, M. A., Boswell, W. R., Roehling, M. V. and Boudreau, J. W. (2000). An empirical examination of self-reported work stress among U.S. managers. Journal of Applied Psychology, 85(1), 65–74.Google Scholar
Charnas, D. (2016). Work Clean the Life-Changing Power of Mise-en-Place to Organize Your Life, Work and Mind. New York, NY: Rodale Books.Google Scholar
Cicourel, A. V. (1964). Method and Measurement in Sociology. New York, NY: Free Press.Google Scholar
Dan, C.-I., Roşca, A. C. and Mateizer, A. (2020). Job crafting and performance in firefighters: The role of work meaning and work engagement. Frontiers in Psychology, 11, 894.Google Scholar
Dreyfus, H. and Kelly, S. D. (2011). All Things Shining: Reading the Western Classics to Find Meaning in a Secular Age. New York, NY: Free Press.Google Scholar
Eriksson, M. and Lindström, B. (2007). Antonovsky’s sense of coherence scale and its relation with quality of life: A systematic review. Journal of Epidemiology and Community Health, 61(11), 938–944.Google Scholar
Grønsund, T. and Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. Journal of Strategic Information Systems, 29(2), article 101614.Google Scholar
Hahn, T., Ebner-Priemer, U. and Meyer-Lindenberg, A. (2019). Transparent artificial intelligence – a conceptual framework for evaluating AI-based clinical decision support systems, https://ssrn.com/abstract=330312.Google Scholar
Hesse-Biber, S. N. and Leavy, P. (2011). The Practice of Qualitative Research, 2nd edition. Los Angeles, CA: Sage.Google Scholar
Isak, C. (2016). Motivated self-endangerment: How indirect management can hurt you. Tech Acute, http://techacute.com/motivated-self-endangerment/.Google Scholar
Kelly, S. and Noonan, C. (2017). The doing of datafication (and what this doing does): Practices of edification and the enactment of new forms of sociality in the Indian public health service. Journal of AIS, 18(12), 872–899.Google Scholar
Krause, A., Baeriswyl, S., Berset, M., Deci, N., Dettmers, J., Dorsemagen, C. et al. (2014). Selbstgefährdung als Indikator für Mängel bei der Gestaltung mobil-flexibler Arbeit: Zur Entwicklung eines Erhebungsinstruments. Wirtschaftspsychologie, 4, 49–59, www.psychologie-aktuell.com/index.php?id=184&tx_ttnews%5Btt_news%5D=3833&tx_ttnews%5BbackPid%5D=185&cHash=d51d629405#marker4.Google Scholar
Lepri, B., Oliver, N., Letouzé, E., Pentland, A. and Vinck, P. (2018). Fair, transparent, and accountable algorithmic decision-making processes. Philosophy & Technology, 31(4), 611–627.Google Scholar
Lindström, B. (2012). Salutogenesis – an introduction. Folkhälsan Research Center, Helsinki, www.centrelearoback.org/assets/PDF/04_activites/clr-GCPB121122-Lindstom_pub_introsalutogenesis.pdf.Google Scholar
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J. and Schwartz, P. J. (1996). Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. European Heart Journal, 17(3), 354–381.Google Scholar
Mason, K. (2015). Participatory action research: Coproduction. Governance and Care: Geography Compass, 9(9), 497–507.Google Scholar
Masood, K., Ahmed, B., Choi, J. and Gutierrez-Osuna, R. (2012). Consistency and validity of self-reporting scores in stress measurement surveys. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA.CrossRefGoogle Scholar
McCraty, R. (2015). Science of the Heart: Exploring the Role of the Heart in Human Performance. Boulder Creek, CA: HeartMath Institute.Google Scholar
Ngwenyama, O. (2019). The ten basic claims of information systems research: An approach to interrogating validity claims in scientific argumentation, https://ssrn.com/abstract=3446798.Google Scholar
Perlow, L. A. and Kelly, E. L. (2014). Toward a model of work redesign for better work and better life. Work and Occupations, 41(1), 111–134.Google Scholar
Pickering, A. (1995). The Mangle of Practice: Time, Agency, and Science. Chicago, IL: University of Chicago Press.Google Scholar
Prasad, P. (2017). Crafting Qualitative Research: Working in the Postpositivist Traditions, 2nd edition. London and Armonk, NY: Routledge and M. E. Sharpe.CrossRefGoogle Scholar
Rosa, H. and Wagner, J. C. (2019). Resonance: A Sociology of Our Relationship to the World, English edition. Cambridge, MA: Polity Press.Google Scholar
Sonnentag, S. and Fritz, C. (2015). Recovery from job stress: The stressor-detachment model as an integrative framework. Journal of Organizational Behavior, 36(Supp. 1), S72–S103.Google Scholar
Sostrin, J. (2016). The hidden curriculum of work. Strategy + Business, www.strategy-business.com/blog/The-Hidden-Curriculum-of-Work?gko=2121d&utm_source=itw&utm_medium=20160809B&utm_campaign=respB.Google Scholar
Sturges, J. (2012). Crafting a balance between work and home. Human Relations, 65(12), 1539–1559.Google Scholar
Tims, M., Bakker, A. B. and Derks, D. (2015). Job crafting and job performance: A longitudinal study. European Journal of Work and Organizational Psychology, 24(6), 914–928.Google Scholar
Tims, M., Bakker, A. B. and Derks, D. (2013). The impact of job crafting on job demands, job resources, and well-being. Journal of Occupational Health Psychology, 18(2), 230–240.Google Scholar
Togo, F. and Takahashi, M. (2009). Heart rate variability in occupational health – a systematic review. Industrial Health, 47(6), 589–602.CrossRefGoogle ScholarPubMed
Venkatesh, V., Brown, S. A. and Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly, 37(1), 21–54.Google Scholar
Waardenburg, L., Sergeeva, A. and Huysman, M. (2018). Hotspots and blind spots. In Schultze, U., Aanestad, M., Mähring, M., Østerlund, C. and Riemer, K. (eds), IFIP Advances in Information and Communication Technology. Living with Monsters? Social Implications of Algorithmic Phenomena, Hybrid Agency, and the Performativity of Technology. Cham, Switzerland: Springer, pp. 96–109.Google Scholar
Weisberg, D. S., Hirsh-Pasek, K., Golinkoff, R. M. and McCandliss, B. D. (2014). Mise en place: Setting the stage for thought and action. Trends in Cognitive Science, 18(6), 276–278.Google Scholar
Wendsche, J. and Lohmann-Haislah, A. (2017). A meta-analysis on antecedents and outcomes of detachment from work. Frontiers in Psychology, https://doi.org/10.3389/fpsyg.2016.02072.Google Scholar
Wrzesniewski, A. and Dutton, J. E. (2001). Crafting a job: Revisioning employees as active crafters of their work. Academy of Management Review, 26(2), 179–201.Google Scholar