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Intelligent Robots in Business Processes: A Students’ Perspective

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Business Process Management Workshops (BPM 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 436))

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Abstract

The fourth industrial revolution urges companies to incorporate technologies such as artificial intelligence and robotics in their business processes. The success of emerging technologies to innovate business processes, however, largely depends on the acceptance by employees, e.g., as being the end users for human-robot collaboration. The current paper addresses a yet under investigated technology, namely robotics with more advanced levels of intelligence. The existing literature about intelligent robots is still scarce and mainly limited to applications in particular sectors. Since intelligent robot applications will increase in the medium term, our purpose is to add an interdisciplinary perspective by examining the degree to which acceptance differs among master students as highly-skilled future employees. Our survey shows that gender and academic discipline only have a limited impact to predict the acceptance of intelligent robots at work, but different adoption profiles seem to matter most for robotic process changes. Finally, we discuss the role of students, universities and employees to better prepare for the future digitalization of the workplace.

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References

  1. Abdi, J., Al-Hindawi, A., Ng, T., Vizcaychipi, M.P.: Scoping review on the use of socially assistive robot technology in elderly care. BMJ Open 8, e018815 (2018)

    Article  Google Scholar 

  2. Almeida, F., Santos, J.D., Monteiro, J.A.: The challenges and opportunities in the digitalization of companies in a post-COVID-19 world. IEEE Eng. Manage. Rev. 48(3), 97–103 (2020)

    Article  Google Scholar 

  3. Box, G.E.: Non-normality and tests on variances. Biometrika 40(3–4), 318–335 (1953)

    Article  Google Scholar 

  4. Gonnot, A., Michel, C., Marty, J.-C., Cordier, A.: Social robots in collaborative learning: consequences of the design on students’ perception. In: 11th International Conference on Computer Supported Education (2019)

    Google Scholar 

  5. Kaan, H.L., Ho, K.Y.: Clinical adoption of robotics in endoscopy: challenges and solutions. JGH Open 4(5), 790–794 (2020)

    Article  Google Scholar 

  6. Keselman, H.J., Games, P.A., Rogan, J.C.: Protecting the overall rate of type I errors for pairwise comparisons with an omnibus test statistic. Psychol. Bull. 86(4), 884–888 (1979)

    Article  Google Scholar 

  7. Kim, J.-H., Choi, S.-H., Park, I.-W., Zaheer, S.A.: Intelligence technology for robots that think [application notes]. IEEE Comput. Intell. Mag. 8(3), 70–84 (2013)

    Article  Google Scholar 

  8. Kitchenham, B.: Guidelines for performing systematic literature reviews in software engineering (version 2.3). Keele University and University of Durham (2007)

    Google Scholar 

  9. Krumm, J.: Ubiquitous Computing Fundamentals. CRC Press, London (2009)

    Google Scholar 

  10. Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6(4), 239–242 (2014)

    Article  Google Scholar 

  11. Parviainen, P., Kääriäinen, J., Tihinen, M., Teppola, S.: Tackling the digitalization challenge: how to benefit from. Int. J. Inf. Syst. Proj. Manag. 5, 63–77 (2017)

    Google Scholar 

  12. Recker, J.: Scientific Research in Information Systems. Springer, Heidelberg (2013)

    Book  Google Scholar 

  13. Rogers, E.M.: Diffusion of Innovations. Simon and Schuster, New York (2003)

    Google Scholar 

  14. Seetharaman, P.: Business models shifts: impact of Covid-19. Int. J. Inf. Manag. 54, 102173 (2020)

    Article  Google Scholar 

  15. Shingala, M.C., Rajyaguru, A.: Comparison of post hoc tests for unequal variance. Int. J. New Technol. Sci. Eng. 2(5), 22–33 (2015)

    Google Scholar 

  16. Van Looy, A.: How the COVID-19 pandemic can stimulate more radical business process improvements: using the metaphor of a tree. Knowl. Process Manag. (2021). https://doi.org/10.1002/kpm.1659

  17. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  18. Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology. MIS Q. 36(1), 157–178 (2012)

    Article  Google Scholar 

  19. Wang, T.-M., Tao, Y., Liu, H.: Current researches and future development trend of intelligent robot: a review. Int. J. Autom. Comput. 15(5), 525–546 (2018). https://doi.org/10.1007/s11633-018-1115-1

    Article  Google Scholar 

  20. Van Looy, A.: Adding intelligent robots to business processes: a dilemma analysis of employees’ attitudes. In: Fahland, D., Ghidini, C., Becker, J., Dumas, M. (eds.) BPM 2020. LNCS, vol. 12168, pp. 435–452. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58666-9_25

    Chapter  Google Scholar 

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Acknowledgement

With support of the faculty’s student excellence program.

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Authors and Affiliations

  1. Faculty of Economics and Business Administration, Department of Business Informatics and Operations Management, Ghent University, Tweekerkenstraat 2, 9000, Ghent, Belgium

    Amy Van Looy, Gilles Bauwens & Krzysztof Zaniewski

Authors
  1. Amy Van Looy
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  2. Gilles Bauwens
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  3. Krzysztof Zaniewski
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Corresponding author

Correspondence to Amy Van Looy .

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Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Andrea Marrella

  2. University of St. Gallen, St. Gallen, Switzerland

    Barbara Weber

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Van Looy, A., Bauwens, G., Zaniewski, K. (2022). Intelligent Robots in Business Processes: A Students’ Perspective. In: Marrella, A., Weber, B. (eds) Business Process Management Workshops. BPM 2021. Lecture Notes in Business Information Processing, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-030-94343-1_25

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  • DOI: https://doi.org/10.1007/978-3-030-94343-1_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-94342-4

  • Online ISBN: 978-3-030-94343-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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