• Calvard, Thomas


A key technological trend in big data science is that of the quantified self, whereby individuals can self-track their health and well-being using various sources of information. The aim of this article was to integrate multidimensional views on the positive and negative implications of the quantified self for employees and workplaces. Relevant human and social scientific literature on the quantified (employee) self and self-tracking were drawn upon and organized into three main influential perspectives. Specifically, the article identified (1) psychological perspectives on quantified attitudes and behaviors, (2) sociological perspectives on sociomaterial user construction, and (3) critical theoretical perspectives on digital power and control. This article suggests that the three perspectives are complementary and can be usefully integrated into an embodied sensemaking perspective. Embodied sensemaking views the employee as a self-conscious user of big data seeking to make sense of their embeddedness in wider digital and organizational environments. This article concludes with implications for protecting employee agency in tension with employers’ big data strategies for governing and managing the performance of quantified digital employee selves.


  1. Adler, Paul S., Linda C. Forbes, and Hugh Willmott. 2007. Critical management studies. The Academy of Management Annals 1: 119–79. [Google Scholar] [CrossRef]
  2. Ajana, Btihaj. 2017. Digital health and the biopolitics of the Quantified Self. Digital Health 3. Available online: (accessed on 15 June 2019). [CrossRef] [PubMed]
  3. Allard-Poesi, Florence. 2005. The paradox of sensemaking in organizational analysis. Organization 12: 169–96. [Google Scholar] [CrossRef]
  4. Angrave, David, Andy Charlwood, Ian Kirkpatrick, Mark Lawrence, and Mark Stuart. 2016. HR and analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal 26: 1–11. [Google Scholar] [CrossRef]
  5. Ayobi, Amid, Paul Marshall, and Anna L. Cox. 2016. Reflections on 5 years of personal informatics: Rising concerns and emerging directions. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. New York: ACM, pp. 2774–81. [Google Scholar]
  6. Baerg, Andrew. 2017. Big data, sport, and the digital divide: Theorizing how athletes might respond to big data monitoring. Journal of Sport and Social Issues 41: 3–20. [Google Scholar] [CrossRef]
  7. Bakke, John, and Cynthia Bean. 2013. The materiality of sensemaking. Tamara: Journal for Critical Organization Inquiry 5. Available online: (accessed on 20 June 2019).
  8. Barrett, Meredith A., Olivier Humblet, Robert A. Hiatt, and Nancy E. Adler. 2013. Big data and disease prevention: From quantified self to quantified communities. Big Data 1: 168–75. [Google Scholar] [CrossRef]
  9. Barta, Kristen, and Gina Neff. 2016. Technologies for Sharing: Lessons from Quantified Self about the political economy of platforms. Information, Communication & Society 19: 518–31. [Google Scholar]
  10. Baumeister, Roy, Kathleen Vohs, and David Funder. 2007. Psychology as the science of self-reports and finger movements: Whatever happened to actual behavior? Perspectives on Psychological Science 2: 396–403. [Google Scholar] [CrossRef]
  11. Becker, Karen, and Michelle Smidt. 2016. A risk perspective on human resource management: A review and directions for future research. Human Resource Management Review 26: 149–65. [Google Scholar] [CrossRef]
  12. Belk, Russell. 2016. Extended self and the digital world. Current Opinion in Psychology 10: 50–54. [Google Scholar] [CrossRef]
  13. Bersin, Josh. 2014. Quantified self: Meet the quantified employee. Forbes. June 25. Available online: (accessed on 4 September 2019).
  14. Bietz, Matthew, Gillian Hayes, Margaret Morris, Heather Patterson, and Luke Stark. 2016. Creating meaning in a world of quantified selves. IEEE Pervasive Computing 15: 82–85. [Google Scholar] [CrossRef]
  15. Brougham, David, and Jarrod Haar. 2018. Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management & Organization 24: 239–57. [Google Scholar]
  16. Caldwell, Tracey. 2014. The quantified self: A threat to enterprise security? Computer Fraud & Security 11: 16–20. [Google Scholar]
  17. Calvard, Thomas. 2016. Big data, organizational learning, and sensemaking: Theorizing interpretive challenges under conditions of dynamic complexity. Management Learning 47: 65–82. [Google Scholar] [CrossRef]
  18. Calvard, Thomas, and Katherine Sang. 2017. Complementing psychological approaches to employee well-being with a socio-structural perspective on violence in the workplace: An alternative research agenda. The International Journal of Human Resource Management 28: 2256–74. [Google Scholar] [CrossRef]
  19. Catlaw, Thomas J., and Billie Sandberg. 2018. The quantified self and the evolution of neoliberal self-government: An exploratory qualitative study. Administrative Theory & Praxis 40: 3–22. [Google Scholar]
  20. Cederstrom, Carl, and Andre Spicer. 2017. Desperately Seeking Self-Improvement. New York: OR Books. [Google Scholar]
  21. Choe, Eun Kyoung, Nicole B. Lee, Bongshin Lee, Wanda Pratt, and Julie A. Kientz. 2014. Understanding quantified-selfers’ practices in collecting and exploring personal data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 1143–52. [Google Scholar]
  22. Crawford, Kate, Jessa Lingel, and Tero Karppi. 2015. Our metrics, ourselves: A hundred years of self-tracking from the weight scale to the wrist wearable device. European Journal of Cultural Studies 18: 479–96. [Google Scholar] [CrossRef]
  23. Cunliffe, Ann, and Chris Coupland. 2012. From hero to villain to hero: Making experience sensible through embodied narrative sensemaking. Human Relations 65: 63–88. [Google Scholar] [CrossRef]
  24. Dale, Karen, and Gibson Burrell. 2014. Being occupied: An embodied re-reading of organizational ‘wellness’. Organization 21: 159–77. [Google Scholar] [CrossRef]
  25. Danaher, John, Sven Nyholm, and Brian D. Earp. 2018. The quantified relationship. The American Journal of Bioethics 18: 3–19. [Google Scholar] [CrossRef] [PubMed]
  26. Davenport, Thomas, Jeanne Harris, and Jeremy Shapiro. 2010. Competing on talent analytics. Harvard Business Review 88: 52–58. [Google Scholar] [PubMed]
  27. Davis, Matthew C., Rose Challenger, Dharshana N. W. Jayewardene, and Chris W. Clegg. 2014. Advancing socio-technical systems thinking: A call for bravery. Applied Ergonomics 45: 171–80. [Google Scholar] [CrossRef] [PubMed]
  28. Day, Arla, Natasha Scott, and Kevin Kelloway. 2010. Information and communication technology: Implications for job stress and employee well-being. In New Developments in Theoretical and Conceptual Approaches to Job Stress. Bingley: Emerald Group Publishing Limited, pp. 317–50. [Google Scholar]
  29. Didžiokaitė, Gabija, Paula Saukko, and Christian Greiffenhagen. 2018. The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media & Society 20: 1470–87. [Google Scholar]
  30. Elias, Ana Sofia, and Rosalind Gill. 2018. Beauty surveillance: The digital self-monitoring cultures of neoliberalism. European Journal of Cultural Studies 21: 59–77. [Google Scholar] [CrossRef]
  31. Elkjaer, Bente, and Barbara Simpson. 2011. Pragmatism: A lived and living philosophy. What can it offer to contemporary organization theory? Philosophy and Organization Theory 32: 55–84. [Google Scholar]
  32. Elsden, Chris, David S. Kirk, and Abigail C. Durrant. 2016. A quantified past: Toward design for remembering with personal informatics. Human–Computer Interaction 31: 518–57. [Google Scholar] [CrossRef]
  33. Fineman, Stephen. 2006. Accentuating the positive? Academy of Management Review 31: 306–8. [Google Scholar] [CrossRef]
  34. Fleming, Peter, and Andrew Sturdy. 2009. “Just be yourself!” Towards neo-normative control in organisations? Employee Relations 31: 569–83. [Google Scholar] [CrossRef]
  35. Fotopoulou, Aristea, and Kate O’Riordan. 2017. Training to self-care: Fitness tracking, biopedagogy and the healthy consumer. Health Sociology Review 26: 54–68. [Google Scholar] [CrossRef]
  36. Gabriels, Katleen, and Mark Coeckelbergh. 2019. ‘Technologies of the self and other’: How self-tracking technologies also shape the other. Journal of Information, Communication and Ethics in Society. Available online: (accessed on 15 June 2019).
  37. Galison, Peter, and Bruce Hevly, eds. 1992. Big Science: The Growth of Large-Scale Research. Palo Alto: Stanford University Press. [Google Scholar]
  38. Gergen, Kenneth J. 1996. Technology and the self: From the essential to the sublime. In Constructing the Self in a Mediated Age. Edited by Debra Grodin and Thomas R. Lindlof. Beverly Hills: Sage, pp. 127–40. [Google Scholar]
  39. Gibbons, Michael, Camille Limoges, Helga Nowotny, Simon Schwartzman, Peter Scott, and Martin Trow. 1994. The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies. London: Sage. [Google Scholar]
  40. Gilmore, James. 2016. Everywear: The quantified self and wearable fitness technologies. New Media & Society 18: 2524–39. [Google Scholar]
  41. Grant, Adam, Marlys Christianson, and Richard Price. 2007. Happiness, health, or relationships? Managerial practices and employee well-being tradeoffs. Academy of Management Perspectives 21: 51–63. [Google Scholar] [CrossRef]
  42. Grey, Christopher. 1994. Career as a project of the self and labour process discipline. Sociology 28: 479–97. [Google Scholar] [CrossRef]
  43. Griffith, Terri L. 1999. Technology features as triggers for sensemaking. Academy of Management Review 24: 472–88. [Google Scholar] [CrossRef]
  44. Griffiths, Mark. 2010. Internet abuse and internet addiction in the workplace. Journal of Workplace Learning 22: 463–72. [Google Scholar] [CrossRef]
  45. Grote, Gudela, and David Guest. 2017. The case for reinvigorating quality of working life research. Human Relations 70: 149–67. [Google Scholar] [CrossRef]
  46. Hall, Timothy S. 2014. The quantified self movement: Legal challenges and benefits of personal biometric data tracking. Akron Intellectual Property Journal 7: 27–38. [Google Scholar]
  47. Hassan, Lobna, Antonio Dias, and Juho Hamari. 2019. How motivational feedback increases user’s benefits and continued use: A study on gamification, quantified-self and social networking. International Journal of Information Management 46: 151–62. [Google Scholar] [CrossRef]
  48. Hoy, Matthew. 2016. Personal activity trackers and the quantified self. Medical Reference Services Quarterly 35: 94–100. [Google Scholar] [CrossRef]
  49. Hummels, Caroline, and Jelle Van Dijk. 2015. Seven principles to design for embodied sensemaking. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction. New York: ACM, pp. 21–28. [Google Scholar]
  50. Humphreys, Lee. 2018. The Qualified Self: Social Media and the Accounting of Everyday Life. Boston: MIT Press. [Google Scholar]
  51. Iliadis, Andrew, and Isabel Pedersen. 2018. The fabric of digital life: Uncovering sociotechnical tradeoffs in embodied computing through metadata. Journal of Information, Communication and Ethics in Society 16: 311–27. [Google Scholar] [CrossRef]
  52. Jasanoff, Sheila. 2003. Technologies of humility: Citizen participation in governing science. Minerva 41: 223–44. [Google Scholar] [CrossRef]
  53. Jetten, Jolanda, and S. Alexander Haslam. 2018. Not by behaviour alone: In defence of self-reports and ‘finger movements’. Social Psychological Bulletin 13: e26196. Available online: (accessed on 1 June 2019). [CrossRef]
  54. Kark Smollan, Roy. 2006. Minds, hearts and deeds: Cognitive, affective and behavioural responses to change. Journal of Change Management 6: 143–58. [Google Scholar] [CrossRef]
  55. Kenton, Will. 2018. Investopedia: Quantified Self. Available online: (accessed on 1 June 2019).
  56. Kersten-van Dijk, Elisabeth, Joyce Westerink, Femke Beute, and Wijnand IJsselsteijn. 2017. Personal informatics, self-insight, and behavior change: A critical review of current literature. Human–Computer Interaction 32: 268–96. [Google Scholar] [CrossRef]
  57. Klein, Gary, Brian Moon, and Robert R. Hoffman. 2006. Making sense of sensemaking 1: Alternative perspectives. IEEE Intelligent Systems 21: 70–73. [Google Scholar] [CrossRef]
  58. Kristensen, Dorthe Brogård, and Minna Ruckenstein. 2018. Co-evolving with self-tracking technologies. New Media & Society 20: 3624–40. [Google Scholar]
  59. Kunze, Kai, Masakazu Iwamura, Koichi Kise, Seiichi Uchida, and Shinichiro Omachi. 2013. Activity recognition for the mind: Toward a cognitive “Quantified Self”. Computer 46: 105–8. [Google Scholar] [CrossRef]
  60. Lambert, Alex. 2016. Bodies, mood and excess: Relationship tracking and the technicity of intimacy. Digital Culture & Society 2: 71–88. [Google Scholar]
  61. Lanlehin, Rosemary. 2018. Self-tracking, governmentality, and Nursing and Midwifery Council’s (2016) revalidation policy. Nurse Education Today 64: 125–29. [Google Scholar] [CrossRef]
  62. Lanzing, Marjolein. 2016. The transparent self. Ethics and Information Technology 18: 9–16. [Google Scholar] [CrossRef]
  63. Lavallière, Martin, Arielle A. Burstein, Pedro Arezes, and Joseph F. Coughlin. 2016. Tackling the challenges of an aging workforce with the use of wearable technologies and the quantified-self. Dyna 83: 38–43. [Google Scholar] [CrossRef]
  64. Lee, Victor. 2013. The Quantified Self (QS) movement and some emerging opportunities for the educational technology field. Educational Technology 53: 39–42. [Google Scholar]
  65. Levina, Marina. 2012. Our Data, Ourselves: Feminist Narratives of Empowerment in Health 2.0 Discourse. In Cyberfeminism 2.0. Edited by Radhika Gajjala and Yeon J. Oh. New York: Peter Lang, pp. 13–29. [Google Scholar]
  66. Levy, Karen. 2013. Relational big data. Stanford Law Review 66: 73–80. [Google Scholar]
  67. Loch, Christoph, Fabian Sting, Nikolaus Bauer, and Helmut Mauermann. 2010. How BMW is defusing the demographic time bomb. Harvard Business Review. Available online: (accessed on 5 July 2019).
  68. Lomborg, Stine, and Kirsten Frandsen. 2016. Self-tracking as communication. Information, Communication & Society 19: 1015–27. [Google Scholar]
  69. Lupton, Deborah. 2014. Self-tracking cultures: Towards a sociology of personal informatics. In Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: The Future of Design. New York: ACM, pp. 77–86. [Google Scholar]
  70. Lupton, Deborah. 2016a. You are your data: Self-tracking practices and concepts of data. In Lifelogging: Theoretical Approaches and Case Studies about Self-Tracking. Edited by Stefan Selke. Berlin: Springer. [Google Scholar]
  71. Lupton, Deborah. 2016b. The diverse domains of quantified selves: Self-tracking modes and dataveillance. Economy and Society 45: 101–22. [Google Scholar] [CrossRef]
  72. Lupton, Deborah. 2016c. The Quantified Self. London: John Wiley & Sons. [Google Scholar]
  73. Lupton, Deborah. 2017. Wearable devices: Sociotechnical imaginaries and agential capacities. In Embodied Technology: Wearables, Implantables, Embeddables, Ingestibles. Edited by Isabel Pedersen and Andrew Iliadis. Cambridge: MIT Press, Available online: (accessed on 10 June 2019).
  74. Lupton, Deborah, and Sarah Maslen. 2018. The more-than-human sensorium: Sensory engagements with digital self-tracking technologies. The Senses and Society 13: 190–202. [Google Scholar] [CrossRef]
  75. Lupton, Deborah, Sarah Pink, Christine Heyes Labond, and Shanti Sumartojo. 2018. Personal data contexts, data sense, and self-tracking cycling. International Journal of Communication 12: 647–66. [Google Scholar]
  76. Lyall, Ben, and Brady Robards. 2018. Tool, toy and tutor: Subjective experiences of digital self-tracking. Journal of Sociology 54: 108–24. [Google Scholar] [CrossRef]
  77. Lycett, Mark. 2013. ‘Datafication’: Making sense of (big) data in a complex world. European Journal of Information Systems 22: 381–86. [Google Scholar] [CrossRef]
  78. Majmudar, Maulik D., Lina Avancini Colucci, and Adam B. Landman. 2015. The quantified patient of the future: Opportunities and challenges. Healthcare 3: 153–56. [Google Scholar] [CrossRef]
  79. Maragiannis, Anastasios, and Rain Ashford. 2019. Diversity and inclusivity in the age of wearables: A buzzword, a myth, an uncertain reality. Body, Space & Technology 18: 198–214. [Google Scholar]
  80. Maslen, Sarah. 2017. Layers of sense: The sensory work of diagnostic sensemaking in digital health. Digital Health 3. Available online: (accessed on 15 June 2019). [CrossRef] [PubMed]
  81. Mathur, Akhil, Marc Van den Broeck, Geert Vanderhulst, Afra Mashhadi, and Fahim Kawsar. 2015a. Quantified workplace: Opportunities and challenges. In Proceedings of the 2nd Workshop on Workshop on Physical Analytics. New York: ACM, pp. 37–41. [Google Scholar]
  82. Mathur, Akhil, Marc Van den Broeck, Geert Vanderhulst, Afra Mashhadi, and Fahim Kawsar. 2015b. Tiny habits in the giant enterprise: Understanding the dynamics of a quantified workplace. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York: ACM, pp. 577–88. [Google Scholar]
  83. McAfee, Andrew, and Erik Brynjolfsson. 2012. Big data: The management revolution. Harvard Business Review 90: 60–66. [Google Scholar] [PubMed]
  84. McDougall, Allan, Elizabeth Anne Kinsella, Mark Goldszmidt, Karen Harkness, Patricia Strachan, and Lorelei Lingard. 2018. Beyond the realist turn: A socio-material analysis of heart failure self-care. Sociology of Health & Illness 40: 218–33. [Google Scholar]
  85. Mettler, Tobias, and Jochen Wulf. 2019. Physiolytics at the workplace: Affordances and constraints of wearables use from an employee’s perspective. Information Systems Journal 29: 245–73. [Google Scholar] [CrossRef]
  86. Miller, Carl. 2019. Would you recognise yourself from your data? BBC News. Available online: (accessed on 1 June 2019).
  87. Moore, Phoebe. 2017. The Quantified Self in Precarity: Work, Technology and What Counts. London: Routledge. [Google Scholar]
  88. Moore, Phoebe V. 2018. Tracking affective labour for agility in the quantified workplace. Body & Society 24: 39–67. [Google Scholar]
  89. Moore, Phoebe, and Lukasz Piwek. 2017. Regulating wellbeing in the brave new quantified workplace. Employee Relations 39: 308–16. [Google Scholar] [CrossRef]
  90. Moore, Phoebe, and Andrew Robinson. 2016. The quantified self: What counts in the neoliberal workplace. New Media & Society 18: 2774–92. [Google Scholar]
  91. Nagy, Peter, and Bernadett Koles. 2014. The digital transformation of human identity: Towards a conceptual model of virtual identity in virtual worlds. Convergence 20: 276–92. [Google Scholar] [CrossRef]
  92. Neff, Gina, and Dawn Nafus. 2016. Self-Tracking. Boston: MIT Press. [Google Scholar]
  93. Nowotny, Helga. 2010. Insatiable Curiosity: Innovation in a Fragile Future. Cambridge: MIT Press. [Google Scholar]
  94. Orlikowski, Wanda J., and Susan V. Scott. 2008. Sociomateriality: Challenging the separation of technology, work and organization. The Academy of Management Annals 2: 433–74. [Google Scholar] [CrossRef]
  95. Pentland, Alex. 2015. Social Physics: How Social Networks Can Make Us Smarter. London: Penguin. [Google Scholar]
  96. Ploderer, Bernd, Wolfgang Reitberger, Harri Oinas-Kukkonen, and Julia Gemert-Pijnen. 2014. Social interaction and reflection for behaviour change. Personal and Ubiquitous Computing 18: 1667–76. [Google Scholar] [CrossRef]
  97. Plouffe, Christopher, Willy Bolander, Joseph Cote, and Bryan Hochstein. 2016. Does the customer matter most? Exploring strategic frontline employees’ influence of customers, the internal business team, and external business partners. Journal of Marketing 80: 106–23. [Google Scholar] [CrossRef]
  98. Puussaar, Aare, Adrian K. Clear, and Peter Wright. 2017. Enhancing personal informatics through social sensemaking. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 6936–42. [Google Scholar]
  99. Rapp, Amon, and Federica Cena. 2016. Personal informatics for everyday life: How users without prior self-tracking experience engage with personal data. International Journal of Human-Computer Studies 94: 1–17. [Google Scholar] [CrossRef]
  100. Rapp, Amon, and Maurizio Tirassa. 2017. Know thyself: A theory of the self for personal informatics. Human-Computer Interaction 32: 335–80. [Google Scholar] [CrossRef]
  101. Rapp, Amon, Federica Cena, Judy Kay, Bob Kummerfeld, Frank Hopfgartner, Till Plumbaum, and Jakob Eg Larsen. 2015. New frontiers of quantified self: Finding new ways for engaging users in collecting and using personal data. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers. New York: ACM, pp. 969–72. [Google Scholar]
  102. Rapp, Amon, Federica Cena, Judy Kay, Bob Kummerfeld, Frank Hopfgartner, Till Plumbaum, Jakob Eg Larsen, Daniel A. Epstein, and Rúben Gouveia. 2016. New frontiers of quantified self 2: Going beyond numbers. In 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016. New York: Association for Computing Machinery. [Google Scholar]
  103. Rapp, Amon, Federica Cena, Judy Kay, Bob Kummerfeld, Frank Hopfgartner, Till Plumbaum, Jakob Eg Larsen, Daniel A. Epstein, and Rúben Gouveia. 2017. New frontiers of quantified self 3: Exploring understudied categories of users. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers on-UbiComp’17. New York: ACM Press, pp. 861–64. [Google Scholar]
  104. Richards, Neil, and Jonathan King. 2013. Three paradoxes of big data. Stanford Law Review Online 66: 41–46. [Google Scholar]
  105. Richardson, Steven, and Debra Mackinnon. 2018. Becoming your own device: Self-tracking challenges in the workplace. Canadian Journal of Sociology 43: 265–90. [Google Scholar]
  106. Rivera Pelayo, Veronica. 2015. Design and Application of Quantified Self Approaches for Reflective Learning in the Workplace. Karlsruhe: KIT Scientific Publishing. [Google Scholar]
  107. Roberts, Seth. 2012. The reception of my self-experimentation. Journal of Business Research 65: 1060–66. [Google Scholar] [CrossRef]
  108. Rosenblat, Alex, Tamara Kneese, and Danah Boyd. 2014. Workplace surveillance. Open Society Foundations’ Future of Work Commissioned Research Papers. Available online: (accessed on 25 June 2019).
  109. Rothausen, Teresa J., Kevin E. Henderson, James K. Arnold, and Avinash Malshe. 2017. Should I stay or should I go? Identity and well-being in sensemaking about retention and turnover. Journal of Management 43: 2357–85. [Google Scholar] [CrossRef]
  110. Rowson, Jonathan. 2011. Transforming behaviour change: Beyond nudge and neuromania. Royal Scottish Academy (RSA) Projects. Available online: (accessed on 15 June 2019).
  111. Sanders, Rachel. 2017. Self-tracking in the digital era: Biopower, patriarchy, and the new biometric body projects. Body & Society 23: 36–63. [Google Scholar]
  112. Schall, Mark, Richard Sesek, and Laura Cavuoto. 2018. Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals. Human Factors 60: 351–62. [Google Scholar] [CrossRef]
  113. Schildt, Henri, Saku Mantere, and Joep Cornelissen. 2019. Power in sensemaking processes. Organization Studies. Available online: (accessed on 25 June 2019).
  114. Schüll, Natasha. 2016. Data for life: Wearable technology and the design of self-care. BioSocieties 11: 317–33. [Google Scholar] [CrossRef]
  115. Shah, Naimatullah, Zahir Irani, and Amir Sharif. 2017. Big data in an HR context: Exploring organizational change readiness, employee attitudes and behaviors. Journal of Business Research 70: 366–78. [Google Scholar] [CrossRef]
  116. Sharon, Tamar. 2017. Self-tracking for health and the quantified self: Re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philosophy & Technology 30: 93–121. [Google Scholar]
  117. Sharon, Tamar, and Dorien Zandbergen. 2017. From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media & Society 19: 1695–709. [Google Scholar]
  118. Solon, Olivia. 2012. How much data did Facebook have on one man? 1,200 pages of data in 57 categories. WIRED Magazine. Available online: (accessed on 1 June 2019).
  119. Spiller, Keith, Kirstie Ball, Arosha Bandara, Maureen Meadows, Ciaran McCormick, Bashar Nuseibeh, and Blaine A. Price. 2018. Data privacy: users’ thoughts on quantified self personal data. In Self-Tracking. Edited by Bithaj Ajana. London: Palgrave Macmillan, pp. 111–24. [Google Scholar]
  120. Stawarz, Katarzyna, Anna L. Cox, and Ann Blandford. 2015. Beyond self-tracking and reminders: Designing smartphone apps that support habit formation. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York: ACM, pp. 2653–62. [Google Scholar]
  121. Stein, Mari-Klara, Erica L. Wagner, Pamela Tierney, Sue Newell, and Robert D. Galliers. 2019. Datification and the pursuit of meaningfulness in work. Journal of Management Studies 56: 685–717. [Google Scholar] [CrossRef]
  122. Swan, Melanie. 2012a. Health 2050: The realization of personalized medicine through crowdsourcing, the quantified self, and the participatory biocitizen. Journal of Personalized Medicine 2: 93–118. [Google Scholar] [CrossRef] [PubMed]
  123. Swan, Melanie. 2012b. Sensor mania! The internet of things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator Networks 1: 217–53. [Google Scholar] [CrossRef]
  124. Swan, Melanie. 2013. The quantified self: Fundamental disruption in big data science and biological discovery. Big Data 1: 85–99. [Google Scholar] [CrossRef] [PubMed]
  125. The Economist. 2012. The quantified self: Counting every moment. The Economist. May 3. Available online: (accessed on 3 September 2019).
  126. Till, Chris. 2014. Exercise as labour: Quantified self and the transformation of exercise into labour. Societies 4: 446–62. [Google Scholar] [CrossRef]
  127. Van Dijk, Jelle, Remko Van Der Lugt, and Caroline Hummels. 2014. Beyond distributed representation: Embodied cognition design supporting socio-sensorimotor couplings. In Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction. New York: ACM, pp. 181–88. [Google Scholar]
  128. Walby, Kevin, and Mike Larsen. 2012. Access to information and freedom of information requests: Neglected means of data production in the social sciences. Qualitative Inquiry 18: 31–42. [Google Scholar] [CrossRef]
  129. Walker, Benjamin, and Dan Caprar. 2019. When performance gets personal: Towards a theory of performance-based identity. Human Relations. Available online: (accessed on 15 June 2019).
  130. Weick, Karl E. 1995. Sensemaking in Organizations. London: Sage. [Google Scholar]
  131. West, Peter, Richard Giordano, Max Van Kleek, and Nigel Shadbolt. 2016. The quantified patient in the doctor’s office: Challenges & opportunities. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 3066–78. [Google Scholar]
  132. Whitson, Jennifer R. 2013. Gaming the quantified self. Surveillance & Society 11: 163–76. [Google Scholar]
  133. Whitson, Jennifer R. 2014. Foucault’s Fitbit: Governance and Gamification. In The Gameful World—Approaches, Issues, Applications. Edited by Steffen P. Walz and Sebastian Deterding. Cambridge: MIT Press, pp. 339–58. [Google Scholar]
  134. Wilson, H. James. 2013. Wearables in the workplace. Harvard Business Review 91: 27. [Google Scholar]
  135. Wissinger, Elizabeth. 2017. Wearable tech, bodies, and gender. Sociology Compass 11: e12514. Available online: (accessed on 15 June 2019). [CrossRef]
  136. Wood, Alex J., Mark Graham, Vili Lehdonvirta, and Isis Hjorth. 2019. Good gig, bad gig: Autonomy and algorithmic control in the global gig economy. Work, Employment and Society 33: 56–75. [Google Scholar] [CrossRef] [PubMed]
  137. Woodcock, Jamie, and Mark R. Johnson. 2018. Gamification: What it is, and how to fight it. The Sociological Review 66: 542–58. [Google Scholar] [CrossRef]
  138. Zuboff, Shoshana. 2015. Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology 30: 75–89. [Google Scholar] [CrossRef]

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