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International Conference on Business Process Management

BPM 2019: Business Process Management: Blockchain and Central and Eastern Europe Forum pp 185–202Cite as

Process Maturity of Organizations Using Artificial Intelligence Technology – Preliminary Research

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 361))

Abstract

The main goal of the article was to present the results of the process maturity assessment of organizations using artificial intelligence technology on the Israeli market. As a result of the theoretical study, an empirical gap was identified, resulting from the lack of studies addressing the issues of process maturity in organizations using artificial intelligence. The research question was constructed in the work. RQ: What is the level of process maturity of the organization on the Israeli market that has declared the implementation of artificial intelligence technology? Empirical proceedings were carried out on a sample of 19 non-probabilistically selected organizations functioning in Israel. The multi-dimensional process maturity assessment model (MMPM) was used to assess the level of implementation of process solutions, adjusted to the specificity of the given sector. The study used research methods, such as: quantitative and qualitative bibliometric analysis, survey and statistical methods. The first chapter presents the results of the quantitative and qualitative bibliometric analysis. Then, the next chapter characterized the concept of process maturity and described the applied MMPM methodology. The third chapter describes the population of the surveyed organizations on the Israeli market. The next chapter presents the detailed results of the empirical proceedings. The last chapter contains the study results and discussion. The article ended with a summary, which included directions for further proceedings and outlined the limitations resulting from the adopted research methodology. As a result of the study, the vast majority of organizations were qualified to the first level, identified as a state in which the fragmentary occurrence of elements of the process approach in management was observed.

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Author information

Authors and Affiliations

  1. Institute of Organization and Management, University of Gdańsk, Gdańsk, Poland

    Piotr Sliż

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  1. Piotr Sliż
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Correspondence to Piotr Sliż .

Editor information

Editors and Affiliations

  1. Vienna University of Economics and Business, Vienna, Austria

    Claudio Di Ciccio

  2. University of Warsaw, Warsaw, Poland

    Renata Gabryelczyk

  3. Tecnológico de Monterrey, Monterrey, Mexico

    Luciano García-Bañuelos

  4. University of Zagreb, Zagreb, Croatia

    Tomislav Hernaus

  5. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

    Rick Hull

  6. University of Ljubljana, Ljubljana, Slovenia

    Mojca Indihar Štemberger

  7. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  8. Data61 (CSIRO) and UNSW, Eveleigh, NSW, Australia

    Mark Staples

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Sliż, P. (2019). Process Maturity of Organizations Using Artificial Intelligence Technology – Preliminary Research. In: Di Ciccio, C., et al. Business Process Management: Blockchain and Central and Eastern Europe Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-30429-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-30429-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30428-7

  • Online ISBN: 978-3-030-30429-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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