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Learning and Development Tools and the Innovative Potential of Artificial Intelligence Companies

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  • Zbigniew Drewniak
  • Iwona Posadzinska

Abstract

Purpose: The aim of the article is to examine the relationship between the use of learning and development tools in building the innovation potential of enterprises in the artificial intelligence sector. Design/Methodology/Approach: The study is based on a survey on companies from the artificial intelligence sector (n=127) located in Poland. The regression model defines the relationship between learning and development tools and innovations measured by the number of obtained patents. In addition, the analysis was expanded to include the results of a survey conducted among employees of the surveyed enterprises. As a result, an assessment of the usefulness of knowledge management tools was obtained. Findings: The findings indicate that modern tools of knowledge management in the form of knowledge bases and knowledge pills, or gamifications and business simulations affects the level of innovativeness. These tools are positive assessed by employees (i.e. programmers) that are directly involved in creating solutions in the field of artificial intelligence. Practical implications: The results of the analysis may indicate the directions of development of HR departments in companies of the artificial intelligence sector. It turns out that modern forms of learning stimulate the level of company innovation. Originality/Value: The artificial intelligence sector is perceived as the one that will have the greatest impact on technological progress in the coming years. Solutions in the field of artificial intelligence will have their impact on other industries, such as medicine or the IT sector. The study drew attention to factors determining the level of innovativeness of companies related to learning and development tools.

Suggested Citation

  • Zbigniew Drewniak & Iwona Posadzinska, 2020. "Learning and Development Tools and the Innovative Potential of Artificial Intelligence Companies," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 388-404.
    • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:2:p:388-404
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    References listed on IDEAS

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    1. Schmiedeberg, Claudia, 2008. "Complementarities of innovation activities: An empirical analysis of the German manufacturing sector," Research Policy, Elsevier, vol. 37(9), pages 1492-1503, October.
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    More about this item

    Keywords

    Artificial intelligence; learning and development; knowledge management.;
    All these keywords.

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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