Skip to main content

What Does the Factory’s Suggestion Box Reveal?

An Analysis of the Design Capabilities of a Train Maintenance Center from Its Idea Management System

  • Conference paper
  • First Online:
Design Science Research for a New Society: Society 5.0 (DESRIST 2023)

Abstract

Suggestion boxes have been used in factories to improve processes through a continuous improvement approach. From this perspective, the ideas with direct and quick implementation and visible results are favoured. This paper investigates the nature of design activities hidden behind the ideas suggested. The authors sort 132 ideas from a suggestion box of a French train maintenance center and highlight differences in the processing of the ideas through the suggestion box. The paper shows that a part of the ideas should have been rejected, as they present a gap in the design to be directly implemented. However, they are kept and collectively re-worked to be well adapted to the factory. This enriches literature on creativity and crowd sourcing for and by manufacturing. In particular, it gives a design perspective to innovation and continuous improvement in factory by revealing different design types in the box to fit the production system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Iwao, S.: Revisiting the existing notion of continuous improvement (Kaizen): literature review and field research of Toyota from a perspective of innovation. Evolutionary Institutional Econ. Rev. 14(1), 29–59 (2017)

    Article  Google Scholar 

  2. Pizam, A.: Some correlates of innovation within industrial suggestion systems. Pers. Psychol. 27(1), 63–76 (1974)

    Article  Google Scholar 

  3. Fairbank, J.F., Williams, S.D.: Motivating creativity and enhancing innovation through employee suggestion system technology. Creativity Innov. Manage. 10(2), 68–74 (2001). https://doi.org/10.1111/1467-8691.00204

    Article  Google Scholar 

  4. Moica, S., Harea, C.V., Marian, L.: Effects of suggestion system on continuous improvement: a case study. In: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE, pp. 592–596 (2018)

    Google Scholar 

  5. Sandstrom, C., Bjork, J.: Idea management systems for a changing innovation landscape. IJPD 11(3/4), 310 (2010). https://doi.org/10.1504/IJPD.2010.033964

    Article  Google Scholar 

  6. Castagnoli, R., Stal-Le Cardinal, J., Büchi, G., Cugno, M.: Industry 4.0 management: preliminary design implications. In: Proc. Des. Soc., 2, pp. 121–130 (2022). https://doi.org/10.1017/pds.2022.13

  7. Offermann, P., Blom, S., Schönherr, M., Bub, U.: Artifact types in information systems design science – a literature review. In: Winter, R., Zhao, J.L., Aier, S. (eds.) DESRIST 2010. LNCS, vol. 6105, pp. 77–92. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13335-0_6

    Chapter  Google Scholar 

  8. Gerlach, S., Brem, A.: Idea management revisited: a review of the literature and guide for implementation. Int. J. Innov. Stud. 1(2), 144–161 (2017). https://doi.org/10.1016/j.ijis.2017.10.004

    Article  Google Scholar 

  9. Carnevale, D.G., Sharp, B.S.: The old employee suggestion box: an undervalued force for productivity improvement. Rev. Public Personnel Administration 13(2), 82–92 (1993)

    Article  Google Scholar 

  10. Tesi, F.: Michelin et le taylorisme. Histoire, économie & société, vol. 27e année, no. 3, pp. 111–126 (2008). https://doi.org/10.3917/hes.083.0111

  11. Yasuda, Y.: 40 years, 20 Million Ideas: the Toyota Suggestion System. Productivity Press (1991)

    Google Scholar 

  12. Recht, R., Wilderom, C.: Kaizen and culture: on the transferability of Japanese suggestion systems. Int. Bus. Rev. 7(1), 7–22 (1998). https://doi.org/10.1016/S0969-5931(97)00048-6

    Article  Google Scholar 

  13. Thom, N.: Idea management in Switzerland and Germany: past, present and future. Die Unternehmung 69(3), 238–254 (2015)

    Article  MathSciNet  Google Scholar 

  14. de Reuver, M., Sørensen, C., Basole, R.C.: The digital platform: a research agenda. J. Inf. Technol. 33(2), 124–135 (2018). https://doi.org/10.1057/s41265-016-0033-3

    Article  Google Scholar 

  15. Benbya, H., Leidner, D.: How allianz UK used an idea management platform to harness employee innovation. MIS Quarterly Executive 17(2) (2018)

    Google Scholar 

  16. Opland, L.E., Jaccheri, L., Pappas, I.O. Engesmo, J.: Utilising the innovation potential-a systematic literature review on employee-driven digital innovation. In: ECIS (2020)

    Google Scholar 

  17. Reibenspiess, V., Drechsler, K., Eckhardt, A., Wagner, H.-T.: Tapping into the wealth of employees’ ideas: design principles for a digital intrapreneurship platform. Inf. Manage. 59(3), 103287 (2022). https://doi.org/10.1016/j.im.2020.103287

    Article  Google Scholar 

  18. Buech, V.I.D., Michel, A., Sonntag, K.: Suggestion systems in organizations: what motivates employees to submit suggestions? Euro J. Inn Mnagmnt 13(4), 507–525 (2010). https://doi.org/10.1108/14601061011086311

    Article  Google Scholar 

  19. Carrier, C.: Employee creativity and suggestion programs: an empirical study. Creativity Innov. Manage. 7(2), 62–72 (1998). https://doi.org/10.1111/1467-8691.00090

    Article  Google Scholar 

  20. Detterfelt, J., Lovén, E., Lakemeond, N.: Suggestion systems for engineering designers - a case study. DS 58–9: Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 9, Human Behavior in Design, Palo Alto, CA, USA, 24.-27.08.2009, pp. 135–146 (2009)

    Google Scholar 

  21. Alcácer, V., Cruz-Machado, V.: Scanning the industry 4.0: a literature review on technologies for manufacturing systems. Eng. Sci. Technol., an Int. J. 22(3), 899–919 (2019). https://doi.org/10.1016/j.jestch.2019.01.006

    Article  Google Scholar 

  22. Malek, J., Desai, T.N.: A systematic literature review to map literature focus of sustainable manufacturing. J. Clean. Prod. 256, 120345 (2020)

    Article  Google Scholar 

  23. Gunasekaran, A., Yusuf, Y.Y., Adeleye, E.O., Papadopoulos, T., Kovvuri, D., Geyi, D.G.: Agile manufacturing: an evolutionary review of practices. Int. J. Prod. Res. 57(15–16), 5154–5174 (2019)

    Article  Google Scholar 

  24. Neagoe, L.N.: Employee Suggestion System (Kaizen Teian) The Bottom-Up Approach For Productivity Improvement, 10(3), 6 (2009)

    Google Scholar 

  25. Boeddrich, H.-J.: Ideas in the workplace: a new approach towards organizing the fuzzy front end of the innovation process. Creativity Innov. Manage. 13(4), 274–285 (2004). https://doi.org/10.1111/j.0963-1690.2004.00316.x

    Article  Google Scholar 

  26. Chesbrough, H.: Managing open innovation. Res. Technol. Manag. 47(1), 23–26 (2004)

    Article  Google Scholar 

  27. Herrmann, T., Binz, H., Roth, D.: Necessary extension of conventional idea processes by means of a method for the identification of radical product ideas. In: DS 87–8 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 8: Human Behaviour in Design, Vancouver, Canada, 21–25.08. 2017, pp. 079–088 (2017)

    Google Scholar 

  28. Herrmann, T., Roth, D., Binz, H.: Framework of an ambidextrous process of idea management supporting the downstream product development process. In: Proceedings of the Design Society: DESIGN Conference, Cambridge University Press, pp. 587–596 (2020)

    Google Scholar 

  29. Harlé, H., Le Masson, P., Weil, B.: A model of creative heritage for industry: designing new rules while preserving the present system of rules. Proceedings of The Design Society 1, 141–150 (2021)

    Article  Google Scholar 

  30. Ostrowski, D., Jagodziński, J.: Operation of an employee suggestion system in administration and production departments of a remanufacturing company. J. Remanufacturing 11(2), 107–120 (2020). https://doi.org/10.1007/s13243-020-00095-7

    Article  Google Scholar 

  31. Eisenhardt, K.M.: Building theories from case study research. Acad. Manag. Rev. 14(4), 532–550 (1989)

    Article  Google Scholar 

  32. Janssoone, D.: De la boîte à idées… à I’innovation. Revue Generale des Chemins de Fer 1999(9), 11–19 (1999)

    Google Scholar 

  33. de Terssac, G., Soubie, J.-L., Neveu, J.-P.: Systèmes experts et transferts d’expertise. sotra, 30(3), 461–477 (1988). https://doi.org/10.3406/sotra.1988.2418

  34. Dewar, R.D., Dutton, J.E.: The adoption of radical and incremental innovations: an empirical analysis. Manage. Sci. 32(11), 1422–1433 (1986)

    Article  Google Scholar 

  35. March, J.G.: Exploration and exploitation in organizational learning. Organ. Sci. 2(1), 71–87 (1991)

    Article  Google Scholar 

  36. Hatchuel, A., Masson, P.L., Weil, B., Carvajal-Perez, D.: Innovative design within tradition - injecting topos structures in C-K theory to model culinary creation heritage. Proceedings of the Design Society: International Conference on Engineering Design 1(1), 1543–1552 (2019). https://doi.org/10.1017/dsi.2019.160

    Article  Google Scholar 

  37. Veile, J.W., Kiel, D., Müller, J.M., Voigt, K.-I.: 4.0 Implementation in the German Manufacturing Industry p. 21 (2019)

    Google Scholar 

  38. Lass, S., Gronau, N.: A factory operating system for extending existing factories to Industry 4.0. Comput. Ind. 115, 103128 (2020). https://doi.org/10.1016/j.compind.2019.103128

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pascal Le Masson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Harlé, H., Le Masson, P., Weil, B., Bourlier, T., Veslin, Y. (2023). What Does the Factory’s Suggestion Box Reveal?. In: Gerber, A., Baskerville, R. (eds) Design Science Research for a New Society: Society 5.0. DESRIST 2023. Lecture Notes in Computer Science, vol 13873. Springer, Cham. https://doi.org/10.1007/978-3-031-32808-4_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-32808-4_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-32807-7

  • Online ISBN: 978-3-031-32808-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics