IDEAS home Printed from https://ideas.repec.org/p/hbs/wpaper/14-115.html
   My bibliography  Save this paper

Creating Reciprocal Value Through Operational Transparency

Author

Listed:
  • Ryan W. Buell

    (Harvard Business School, Technology and Operations Management Unit)

  • Tami Kim

    (Harvard Business School)

  • Chia-Jung Tsay

    (University College London)

Abstract

We investigate whether organizations can create value by introducing visual transparency between consumers and producers. Although operational transparency has been shown to improve consumer perceptions of service value, existing theory posits that increased contact between consumers and producers may diminish work performance. Two field and two laboratory experiments in food service settings suggest transparency that 1) allows customers to observe operational processes (process transparency) and 2) allows employees to observe customers (customer transparency) not only improves customer perceptions, but also increases service quality and efficiency. In our fully specified models, the introduction of this transparency contributed to a 22.2% increase in customer-reported quality and reduced throughput times by 19.2%. Laboratory studies revealed that customers who experienced process transparency perceived greater employee effort, and as a consequence, were more appreciative of the employees and valued the service more. Employees who experienced customer transparency felt that their work was more appreciated and more impactful, and thus were more satisfied with their work and more willing to exert effort. We find that transparency, by visually revealing operating processes to consumers and beneficiaries to producers, generates a positive feedback loop through which value is created for both parties.

Suggested Citation

  • Ryan W. Buell & Tami Kim & Chia-Jung Tsay, 2014. "Creating Reciprocal Value Through Operational Transparency," Harvard Business School Working Papers 14-115, Harvard Business School, revised Sep 2015.
  • Handle: RePEc:hbs:wpaper:14-115
    as

    Download full text from publisher

    File URL: http://www.hbs.edu/faculty/pages/download.aspx?name=14-115.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard B. Chase, 1981. "The Customer Contact Approach to Services: Theoretical Bases and Practical Extensions," Operations Research, INFORMS, vol. 29(4), pages 698-706, August.
    2. Diwas S. Kc & Christian Terwiesch, 2009. "Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations," Management Science, INFORMS, vol. 55(9), pages 1486-1498, September.
    3. Brian A. Jacob & Lars Lefgren, 2008. "Can Principals Identify Effective Teachers? Evidence on Subjective Performance Evaluation in Education," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 101-136.
    4. Snipes, Robin L. & Oswald, Sharon L. & LaTour, Michael & Armenakis, Achilles A., 2005. "The effects of specific job satisfaction facets on customer perceptions of service quality: an employee-level analysis," Journal of Business Research, Elsevier, vol. 58(10), pages 1330-1339, October.
    5. Rogelio Oliva & John D. Sterman, 2001. "Cutting Corners and Working Overtime: Quality Erosion in the Service Industry," Management Science, INFORMS, vol. 47(7), pages 894-914, July.
    6. Tsay, Chia-Jung, 2014. "The vision heuristic: Judging music ensembles by sight alone," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(1), pages 24-33.
    7. Richard B. Chase & David A. Tansik, 1983. "The Customer Contact Model for Organization Design," Management Science, INFORMS, vol. 29(9), pages 1037-1050, September.
    8. Daniel J. Benjamin & Jesse M. Shapiro, 2009. "Thin-Slice Forecasts of Gubernatorial Elections," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 523-536, August.
    9. Mohr, Lois A. & Bitner, Mary Jo, 1995. "The role of employee effort in satisfaction with service transactions," Journal of Business Research, Elsevier, vol. 32(3), pages 239-252, March.
    10. Ryan W. Buell & Ethan Porter & Michael I. Norton, 2013. "Surfacing the Submerged State: Operational Transparency Increases Trust in and Engagement with Government," Harvard Business School Working Papers 14-034, Harvard Business School, revised Aug 2018.
    11. Chinander, Karen R. & Schweitzer, Maurice E., 2003. "The input bias: The misuse of input information in judgments of outcomes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(2), pages 243-253, July.
    12. Ryan W. Buell & Michael I. Norton, 2011. "The Labor Illusion: How Operational Transparency Increases Perceived Value," Management Science, INFORMS, vol. 57(9), pages 1564-1579, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aytekin Ertan & Maria Loumioti & Regina Wittenberg‐Moerman, 2017. "Enhancing Loan Quality Through Transparency: Evidence from the European Central Bank Loan Level Reporting Initiative," Journal of Accounting Research, Wiley Blackwell, vol. 55(4), pages 877-918, September.

    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. Ryan W. Buell & Tami Kim & Chia-Jung Tsay, 2017. "Creating Reciprocal Value Through Operational Transparency," Management Science, INFORMS, vol. 63(6), pages 1673-1695, June.
    2. Ryan W. Buell & Michael I. Norton, 2011. "The Labor Illusion: How Operational Transparency Increases Perceived Value," Management Science, INFORMS, vol. 57(9), pages 1564-1579, February.
    3. Ryan W. Buell & Ethan Porter & Michael I. Norton, 2013. "Surfacing the Submerged State: Operational Transparency Increases Trust in and Engagement with Government," Harvard Business School Working Papers 14-034, Harvard Business School, revised Aug 2018.
    4. Vasiliki Kostami & Sampath Rajagopalan, 2014. "Speed–Quality Trade-Offs in a Dynamic Model," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 104-118, February.
    5. Mackelprang, Alan W. & Jayaram, Jayanth & Xu, Kefeng, 2012. "The influence of types of training on service system performance in mass service and service shop operations," International Journal of Production Economics, Elsevier, vol. 138(1), pages 183-194.
    6. Jorge Mejia & Chris Parker, 2021. "When Transparency Fails: Bias and Financial Incentives in Ridesharing Platforms," Management Science, INFORMS, vol. 67(1), pages 166-184, January.
    7. Mirko Kremer & Francis de Véricourt, 2022. "Mismanaging diagnostic accuracy under congestion," ESMT Research Working Papers ESMT-22-01, ESMT European School of Management and Technology.
    8. Sezer Ülkü & Chris Hydock & Shiliang Cui, 2022. "Social Queues (Cues): Impact of Others’ Waiting in Line on One’s Service Time," Management Science, INFORMS, vol. 68(11), pages 7958-7976, November.
    9. Söderlund, Magnus & Sagfossen, Sofie, 2017. "The consumer experience: The impact of supplier effort and consumer effort on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 219-229.
    10. Spassova, Gerri & Palmeira, Mauricio & Andrade, Eduardo B., 2018. "A ratings pattern heuristic in judgments of expertise: When being right Looks wrong," Organizational Behavior and Human Decision Processes, Elsevier, vol. 147(C), pages 26-47.
    11. Chowdhury, Sanjib & Miles, Grant, 2006. "Customer-induced uncertainty in predicting organizational design: Empirical evidence challenging the service versus manufacturing dichotomy," Journal of Business Research, Elsevier, vol. 59(1), pages 121-129, January.
    12. Robert J. Batt & Christian Terwiesch, 2017. "Early Task Initiation and Other Load-Adaptive Mechanisms in the Emergency Department," Management Science, INFORMS, vol. 63(11), pages 3531-3551, November.
    13. Krishnan S. Anand & M. Faz{i}l Paç & Senthil Veeraraghavan, 2011. "Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services," Management Science, INFORMS, vol. 57(1), pages 40-56, January.
    14. Song-Hee Kim & Jordan Tong & Carol Peden, 2020. "Admission Control Biases in Hospital Unit Capacity Management: How Occupancy Information Hurdles and Decision Noise Impact Utilization," Management Science, INFORMS, vol. 66(11), pages 5151-5170, November.
    15. John Levesque & Cédric Dalmasso & Sophie Hooge, 2022. "Understanding the Impacts of Digital Transformation in the Service Industry: the Mutation of the Back-Office Function in the Insurance Sector," Post-Print hal-04068150, HAL.
    16. Cruz-Ros, Sonia & Gonzalez-Cruz, Tomas F., 2015. "Service firm capabilities and performance: Contingent analysis of customer contact," Journal of Business Research, Elsevier, vol. 68(7), pages 1612-1621.
    17. Bhavya Mohan & Ryan W. Buell & Leslie K. John, 2020. "Lifting the Veil: The Benefits of Cost Transparency," Marketing Science, INFORMS, vol. 39(6), pages 1105-1121, November.
    18. Diwas Singh KC, 2014. "Does Multitasking Improve Performance? Evidence from the Emergency Department," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 168-183, May.
    19. Jingjun (David) Xu & Izak Benbasat & Ronald T. Cenfetelli, 2014. "Research Note ---The Influences of Online Service Technologies and Task Complexity on Efficiency and Personalization," Information Systems Research, INFORMS, vol. 25(2), pages 420-436, June.
    20. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.

    More about this item

    Keywords

    operational transparency; service quality; efficiency; customers; employees;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hbs:wpaper:14-115. 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: HBS (email available below). General contact details of provider: https://edirc.repec.org/data/harbsus.html .

    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.