IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v64y2018i3p1230-1249.html
   My bibliography  Save this article

On Styles in Product Design: An Analysis of U.S. Design Patents

Author

Listed:
  • Tian Heong Chan

    (Information Systems and Operations Management, Goizueta Business School, Emory University, Atlanta, Georgia 30322)

  • Jürgen Mihm

    (Technology and Operations Management, INSEAD, 77300 Fontainebleau, France)

  • Manuel E. Sosa

    (Technology and Operations Management, INSEAD, Singapore 138676)

Abstract

Products combine function and form. This paper focuses on product form. We combine state-of-the-art clustering techniques with experimental validation to identify styles (groupings of new product designs of similar form) among the more than 350,000 U.S. design patents granted from 1977 through 2010. Thus we compile, for the first time, a rich data set of styles that can serve as an empirical platform for a rigorous study of the role played by product form in new product development. Building on this platform, we analyze the determinants of “style turbulence”—the year-to-year unpredictability of changes in a style’s prevalence. We find that (i) style turbulence follows a U-shaped relationship with respect to function turbulence (the turbulence of product functions associated with a given style), and (ii) style turbulence increases over time. We discuss the implications of these findings for managing design in new product development.

Suggested Citation

  • Tian Heong Chan & Jürgen Mihm & Manuel E. Sosa, 2018. "On Styles in Product Design: An Analysis of U.S. Design Patents," Management Science, INFORMS, vol. 64(3), pages 1230-1249, March.
  • Handle: RePEc:inm:ormnsc:v:64:y:2018:i:3:p:1230-1249
    DOI: 10.1287/mnsc.2016.2653
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mnsc.2016.2653
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2016.2653?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. Stephen T. Ziliak & Deirdre N. McCloskey, 2004. "Size Matters: The Standard Error of Regressions in the American Economic Review," Econ Journal Watch, Econ Journal Watch, vol. 1(2), pages 331-358, August.
    2. Benjamin F. Jones, 2009. "The Burden of Knowledge and the "Death of the Renaissance Man": Is Innovation Getting Harder?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 283-317.
    3. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    4. Yusen Xia & Vinod R. Singhal & G. Peter Zhang, 2016. "Product Design Awards and The Market Value of The Firm," Production and Operations Management, Production and Operations Management Society, vol. 25(6), pages 1038-1055, June.
    5. Sanjiv Erat & Vish Krishnan, 2012. "Managing Delegated Search Over Design Spaces," Management Science, INFORMS, vol. 58(3), pages 606-623, March.
    6. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    7. Chen, Dar-Zen & Huang, Mu-Hsuan & Hsieh, Hui-Chen & Lin, Chang-Pin, 2011. "Identifying missing relevant patent citation links by using bibliographic coupling in LED illuminating technology," Journal of Informetrics, Elsevier, vol. 5(3), pages 400-412.
    8. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    9. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
    10. Cappetta, Rossella & Cillo, Paola & Ponti, Anna, 2006. "Convergent designs in fine fashion: An evolutionary model for stylistic innovation," Research Policy, Elsevier, vol. 35(9), pages 1273-1290, November.
    11. Violina P. Rindova & Antoaneta P. Petkova, 2007. "When Is a New Thing a Good Thing? Technological Change, Product Form Design, and Perceptions of Value for Product Innovations," Organization Science, INFORMS, vol. 18(2), pages 217-232, April.
    12. Deborah Dougherty, 2001. "Reimagining the Differentiation and Integration of Work for Sustained Product Innovation," Organization Science, INFORMS, vol. 12(5), pages 612-631, October.
    13. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    15. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June.
    16. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    17. Jan R. Landwehr & Aparna A. Labroo & Andreas Herrmann, 2011. "Gut Liking for the Ordinary: Incorporating Design Fluency Improves Automobile Sales Forecasts," Marketing Science, INFORMS, vol. 30(3), pages 416-429, 05-06.
    18. Christian Hildebrand & Gerald Häubl & Andreas Herrmann & Jan R. Landwehr, 2013. "When Social Media Can Be Bad for You: Community Feedback Stifles Consumer Creativity and Reduces Satisfaction with Self-Designed Products," Information Systems Research, INFORMS, vol. 24(1), pages 14-29, March.
    19. Christian Terwiesch & Christoph H. Loch, 2004. "Collaborative Prototyping and the Pricing of Custom-Designed Products," Management Science, INFORMS, vol. 50(2), pages 145-158, February.
    20. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    21. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    22. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    23. L. J. Bourgeois, III & Kathleen M. Eisenhardt, 1988. "Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry," Management Science, INFORMS, vol. 34(7), pages 816-835, July.
    24. Carliss Y. Baldwin & Kim B. Clark, 2000. "Design Rules, Volume 1: The Power of Modularity," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262024667, April.
    25. Li, Guan-Cheng & Lai, Ronald & D’Amour, Alexander & Doolin, David M. & Sun, Ye & Torvik, Vetle I. & Yu, Amy Z. & Fleming, Lee, 2014. "Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010)," Research Policy, Elsevier, vol. 43(6), pages 941-955.
    26. Christoph H. Loch & Christian Terwiesch, 1998. "Communication and Uncertainty in Concurrent Engineering," Management Science, INFORMS, vol. 44(8), pages 1032-1048, August.
    27. Stefan H. Thomke, 1998. "Managing Experimentation in the Design of New Products," Management Science, INFORMS, vol. 44(6), pages 743-762, June.
    28. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    29. Laura J. Kornish & Karl T. Ulrich, 2011. "Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas," Management Science, INFORMS, vol. 57(1), pages 107-128, January.
    30. Gerry McNamara & Paul M. Vaaler & Cynthia Devers, 2003. "Same as it ever was: the search for evidence of increasing hypercompetition," Strategic Management Journal, Wiley Blackwell, vol. 24(3), pages 261-278, March.
    31. Haim Mendelson & Ravindran R. Pillai, 1999. "Industry Clockspeed: Measurement and Operational Implications," Manufacturing & Service Operations Management, INFORMS, vol. 1(1), pages 1-20.
    32. Richard L. Van Horn, 1971. "Validation of Simulation Results," Management Science, INFORMS, vol. 17(5), pages 247-258, January.
    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. Yan, Hong-Bin & Li, Ming, 2022. "Consumer demand based recombinant search for idea generation," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Song, Kisik & Yun, Siyeong & Kim, Leehee & Lee, Sungjoo, 2022. "Investigating new design concepts based on customer value and patent data: The case of a future mobility door," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Karol Jan Borowiecki, 2022. "Good Reverberations? Teacher Influence in Music Composition since 1450," Journal of Political Economy, University of Chicago Press, vol. 130(4), pages 991-1090.
    4. Ivan Lugovoi & Dimitrios A. Andritsos & Claire Senot, 2022. "Novelty and scope of process innovation: The role of related and unrelated manufacturing experience," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3877-3895, October.
    5. Tian Heong Chan & Shi-Ying Lim, 2023. "The Emergence of Novel Product Uses: An Investigation of Exaptations in IKEA Hacks," Management Science, INFORMS, vol. 69(5), pages 2870-2892, May.
    6. Alex Burnap & John R. Hauser & Artem Timoshenko, 2023. "Product Aesthetic Design: A Machine Learning Augmentation," Marketing Science, INFORMS, vol. 42(6), pages 1029-1056, November.
    7. Alex Burnap & John R. Hauser & Artem Timoshenko, 2019. "Product Aesthetic Design: A Machine Learning Augmentation," Papers 1907.07786, arXiv.org, revised Nov 2022.
    8. Karol Jan Borowiecki & Caterina Adelaide Mauri, 2024. "Originality, influence, and success: a model of creative style," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(2), pages 221-258, June.
    9. Tian Heong Chan & Haibo Liu & Steffen Keck & Wenjie Tang, 2023. "When do teams generate valuable inventions? The moderating role of invention integrality on the effects of expertise similarity, network cohesion, and gender diversity," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1760-1777, June.
    10. Herz, Benedikt & Mejer, Malwina, 2021. "The effect of design protection on price and price dispersion: Evidence from automotive spare parts," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    11. Herz, Benedikt & Mejer, Malwina, 2020. "The effect of design protection on price and price dispersion: Evidence from automotive spare parts," MPRA Paper 104137, University Library of Munich, Germany, revised 01 Nov 2020.
    12. Onesun Steve Yoo & Tingliang Huang & Kenan Arifoğlu, 2021. "A Theoretical Analysis of the Lean Start-up Method," Marketing Science, INFORMS, vol. 40(3), pages 395-412, May.
    13. Michael J. Andrews, 2021. "Historical patent data: A practitioner's guide," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(2), pages 368-397, May.
    14. Wittfoth, Sven & Berger, Theo & Moehrle, Martin G., 2022. "Revisiting the innovation dynamics theory: How effectiveness- and efficiency-oriented process innovations accompany product innovations," Technovation, Elsevier, vol. 112(C).
    15. Juan Bu & Eric Yanfei Zhao & Krista J. Li & Joanna Mingxuan Li, 2022. "Multilevel optimal distinctiveness: Examining the impact of within‐ and between‐organization distinctiveness of product design on market performance," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1793-1822, 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. Choi, Jin-Uk & Lee, Chang-Yang, 2022. "The differential effects of basic research on firm R&D productivity: The conditioning role of technological diversification," Technovation, Elsevier, vol. 118(C).
    2. David H. Hsu & Kwanghui Lim, 2014. "Knowledge Brokering and Organizational Innovation: Founder Imprinting Effects," Organization Science, INFORMS, vol. 25(4), pages 1134-1153, August.
    3. Laura J. Kornish & Jeremy Hutchison‐Krupat, 2017. "Research on Idea Generation and Selection: Implications for Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 633-651, April.
    4. Stylianos Kavadias & Karl T. Ulrich, 2020. "Innovation and New Product Development: Reflections and Insights from the Research Published in the First 20 Years of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 84-92, January.
    5. Jingoo Kang & Sang‐Joon Kim, 2020. "Performance implications of incremental transition and discontinuous jump between exploration and exploitation," Strategic Management Journal, Wiley Blackwell, vol. 41(6), pages 1083-1111, June.
    6. Peeters, T.J.G., 2013. "External knowledge search and use in new product development," Other publications TiSEM 300ebb34-b090-4210-b95e-f, Tilburg University, School of Economics and Management.
    7. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    8. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    9. Yuchen Zhang & Wei Yang, 2022. "Breakthrough invention and problem complexity: Evidence from a quasi‐experiment," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2510-2544, December.
    10. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    11. Rahul Kapoor & Ron Adner, 2012. "What Firms Make vs. What They Know: How Firms' Production and Knowledge Boundaries Affect Competitive Advantage in the Face of Technological Change," Organization Science, INFORMS, vol. 23(5), pages 1227-1248, October.
    12. Sam Arts & Lee Fleming, 2018. "Paradise of Novelty—Or Loss of Human Capital? Exploring New Fields and Inventive Output," Organization Science, INFORMS, vol. 29(6), pages 1074-1092, December.
    13. Evelyn J. Barry & Chris F. Kemerer & Sandra A. Slaughter, 2006. "Environmental Volatility, Development Decisions, and Software Volatility: A Longitudinal Analysis," Management Science, INFORMS, vol. 52(3), pages 448-464, March.
    14. Leten, Bart & Kelchtermans, Stijn & Belderbos, Ren, 2010. "Internal Basic Research, External Basic Research and the Technological Performance of Pharmaceutical Firms," Working Papers 2010/12, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    15. Rahul Kapoor, 2013. "Persistence of Integration in the Face of Specialization: How Firms Navigated the Winds of Disintegration and Shaped the Architecture of the Semiconductor Industry," Organization Science, INFORMS, vol. 24(4), pages 1195-1213, August.
    16. Christoph Riedl & Victor P. Seidel, 2018. "Learning from Mixed Signals in Online Innovation Communities," Organization Science, INFORMS, vol. 29(6), pages 1010-1032, December.
    17. Jiang, Lin & Clark, Brent B. & Turban, Daniel B., 2023. "Overcoming the challenge of exploration: How decompartmentalization of internal communication enhances the effect of exploration on employee inventive performance," Technovation, Elsevier, vol. 119(C).
    18. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    19. Charles H. Fine & Loredana Padurean & Sergey Naumov, 2022. "Operations for entrepreneurs: Can Operations Management make a difference in entrepreneurial theory and practice?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4599-4615, December.
    20. Alessandro Marino & Paolo Aversa & Luiz Mesquita & Jaideep Anand, 2015. "Driving Performance via Exploration in Changing Environments: Evidence from Formula One Racing," Organization Science, INFORMS, vol. 26(4), pages 1079-1100, August.

    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:inm:ormnsc:v:64:y:2018:i:3:p:1230-1249. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.