IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/ueh7n_v1.html
   My bibliography  Save this paper

Dynamic Target Setting increases workplace physical activity: evidence from a randomised trial

Author

Listed:
  • Hume, Susannah
  • Cornel, Pieter
  • Sanders, Michael
  • Tindall, Karen
  • Vilanti, Paul
  • Coghlan, Sarah
  • Flego, Anna

Abstract

We conduct a field experiment in a large workplace, testing two forms of target to increase physical activity - standard targets (10,000 steps per day) or dynamic targets (10% more than last week). We find that effects overall are modest, but that dynamic targets are more impactful for people with high physical activity levels.

Suggested Citation

  • Hume, Susannah & Cornel, Pieter & Sanders, Michael & Tindall, Karen & Vilanti, Paul & Coghlan, Sarah & Flego, Anna, 2021. "Dynamic Target Setting increases workplace physical activity: evidence from a randomised trial," SocArXiv ueh7n_v1, Center for Open Science.
    • Handle: RePEc:osf:socarx:ueh7n_v1
    DOI: 10.31219/osf.io/ueh7n_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/60017c0286541a060814e95b/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/ueh7n_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jordan Etkin, 2016. "The Hidden Cost of Personal Quantification," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 967-984.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2020. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
    2. Roshni Raveendhran & Nathanael J. Fast, 2024. "When and why consumers prefer human-free behavior tracking products," Marketing Letters, Springer, vol. 35(3), pages 395-408, September.
    3. Lane Peterson Fronczek & Martin Mende & Maura L. Scott & Gergana Y. Nenkov & Anders Gustafsson, 2023. "Friend or foe? Can anthropomorphizing self-tracking devices backfire on marketers and consumers?," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1075-1097, September.
    4. Aoxue Li & Zhengping Ding & Chunhua Sun & Yezheng Liu, 2024. "Recommending AI based on Quantified Self: Investigating the mechanism of consumer acceptance of AI recommendations," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-15, December.
    5. Yudong Zhang & Huilong Zhang & Chubing Zhang & Dongjin Li, 2020. "The Impact of Self-Quantification on Consumers’ Participation in Green Consumption Activities and Behavioral Decision-Making," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    6. Wolf, Tobias & Jahn, Steffen & Hammerschmidt, Maik & Weiger, Welf H., 2021. "Competition versus cooperation: How technology-facilitated social interdependence initiates the self-improvement chain," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 472-491.
    7. Riedel, Nadine & Stüber, Robert, 2019. "Overearning – Revisited," Journal of Economic Psychology, Elsevier, vol. 75(PA).
    8. Vandenbroele, Jolien & Van Kerckhove, Anneleen & Geuens, Maggie, 2020. "If you work it, flaunt it: Conspicuous displays of exercise efforts increase mate value," Journal of Business Research, Elsevier, vol. 120(C), pages 586-598.
    9. James Parker & Urban Johnson & Andreas Ivarsson, 2021. "Initial Positive Indications with Wearable Fitness Technology Followed by Relapse: What’s Going On?," Sustainability, MDPI, vol. 13(14), pages 1-10, July.
    10. Linda Hagen & Kosuke Uetake & Nathan Yang & Bryan Bollinger & Allison J. B. Chaney & Daria Dzyabura & Jordan Etkin & Avi Goldfarb & Liu Liu & K. Sudhir & Yanwen Wang & James R. Wright & Ying Zhu, 2020. "How can machine learning aid behavioral marketing research?," Marketing Letters, Springer, vol. 31(4), pages 361-370, December.
    11. Maltseva, Kateryna, 2020. "Wearables in the workplace: The brave new world of employee engagement," Business Horizons, Elsevier, vol. 63(4), pages 493-505.
    12. Silverman, Jackie & Barasch, Alixandra P. & Small, Deborah A., 2023. "Hot streak! Inferences and predictions about goal adherence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 179(C).
    13. Monica C. LaBarge & Kristen L. Walker & Courtney Nations Azzari & Maureen Bourassa & Jesse Catlin & Stacey Finkelstein & Alexei Gloukhovtsev & James Leonhardt & Kelly Martin & Maria Rejowicz‐Quaid & M, 2022. "Digital exchange compromises: Teetering priorities of consumers and organizations at the iron triangle," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(3), pages 1220-1243, September.
    14. Wang, Xia & Ding, Ying, 2022. "The impact of monetary rewards on product sales in referral programs: The role of product image aesthetics," Journal of Business Research, Elsevier, vol. 145(C), pages 828-842.
    15. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    16. Ulph, Alistair & Panzone, Luca & Hilton, Denis, 2023. "Do rational people sometimes act irrationally? A dynamic self-regulation model of sustainable consumer behavior," Economic Modelling, Elsevier, vol. 126(C).
    17. Fleura Bardhi & Giana M. Eckhardt, 2017. "Liquid Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 582-597.
    18. Lane Peterson Fronczek & Martin Mende & Maura L. Scott, 2022. "From self‐quantification to self‐objectification? Framework and research agenda on consequences for well‐being," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(3), pages 1356-1374, September.
    19. Yang (Alison) Liu & Zhenhui (Jack) Jiang & Ben C. F. Choi, 2023. "Pushing Yourself Harder: The Effects of Mobile Touch Modes on Users’ Self-Regulation," Information Systems Research, INFORMS, vol. 34(3), pages 996-1016, September.
    20. Lieberman, Alicea & Amir, On & Carmon, Ziv, 2023. "The entrenchment effect: Why people persist with less-preferred behaviors," Organizational Behavior and Human Decision Processes, Elsevier, vol. 178(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:ueh7n_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.