Abstract
Small- and medium- sized enterprises (SMEs) face exceptional challenges in implementing smart manufacturing solutions. Specifically, SMEs often struggle with understanding advanced technologies well enough to implement them and reap the benefits. In this paper, we discuss one specific instance of this problem, namely implementation of data standards for effective business-to-business communications. We propose a possible solution to aid in lowering barriers for SMEs to access and apply technologies for data standardization, a vital part of effective business-to-business communications. Our solution takes a gamified approach by working to conceptualize the SMEs’ data into a story with fill-in-the-blanks, similar to a Mad Lib™. We believe that the development and implementation of this tool would provide numerous benefits including, but not limited to, boosting morale, making new technology and standards more approachable, and improving the learning experience.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kusiak, A.: Smart manufacturing must embrace big data. Nat. News 544, 7648 (2017)
Mittal, S., Khan, M.A., Romero, D., Wuest, T.: A critical review of smart manufacturing & Industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). J. Manuf. Syst. 49, 194–214 (2018)
Sinha, A., Bernardes, E., Calderon, R., Wuest, T.: Digital Supply Networks. McGraw-Hill Education, New York (2020)
Wuest, T., Schmid, P., Lego, B., Bowen, E.: Overview of Smart Mfg. in West Virginia. WVU Bureau of Business & Economic Research, Morgantown (2018)
Alicke, K., Rachor, J., Seyfert, A.: Supply Chain 4.0 – the Next-Generation Digital Supply Chain. McKinsey & Company Insights (2016)
UBL Version 2.2. http://docs.oasis-open.org/ubl/UBL-2.2.pdf. Accessed 17 June 2021
OAGI Homepage. https://oagi.org/. Accessed 17 June 2021
Mithas, S., Tafti, A., Bardhan, I., Mein Goh, J.: Information technology and firm profitability: mechanisms and empirical evidence. MIS Q. 36(1), 205–224 (2012)
Govindarajan, V., Lev, B., Srivastava, A., Enache, L.: The gap between large and small companies is growing. why? Harv. Bus. Rev. (2019)
Mittal, S., Khan, M.A., Purohit, J.K., Menon, K., Romero, D., Wuest, T.: A smart manufacturing adoption framework for SMEs. IJPR 58(5), 1555–1573 (2020)
Deterding, S., Dixon, D., Khaled, R., Nacke, L.: From game design elements to gameful-ness: defining “gamification”. In: 15th MindTrek, pp. 9–15. Tampere (2011)
Keepers, M., Romero, D., Hauge, J.B., Wuest, T.: Gamification of operational tasks in manufacturing. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) APMS 2020. IAICT, vol. 591, pp. 107–114. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57993-7_13
Hamari, J., Koivisto, J., Sarsa, H.: Does gamification work? - A literature review of empirical studies on gamification. In: 47th HICSS, Hawaii, pp. 3025–3034. IEEE (2014)
Mad Lib: The History of Mad Libs. https://www.madlibs.com/history/. Accessed 4 Sept 2021
Acknowledgements & Disclaimer
This work was performed under the following financial assistance award 70NANB20H028 from U.S. Department of Commerce, National Institute of Standards and Technology and J. Wayne & Kathy Richards Faculty Fellowship at WVU.
Certain commercial software products are identified in this paper. These products were used only for demonstration purposes. This use does not imply approval or endorsement by NIST, nor does it imply these products are necessarily the best available for the purpose.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
Cite this paper
Keepers, M., Denno, P., Wuest, T. (2021). Proposing a Gamified Solution for SMEs’ Use of Messaging Technology in Smart Manufacturing. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 631. Springer, Cham. https://doi.org/10.1007/978-3-030-85902-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-85902-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85901-5
Online ISBN: 978-3-030-85902-2
eBook Packages: Computer ScienceComputer Science (R0)
