IDEAS home Printed from https://ideas.repec.org/p/gdk/wpaper/61.html

The Power Of Mistakes: Constant Learning Culture And Technology

Author

Listed:
  • Wioleta Kucharska

Abstract

Change adaptability reflects intelligence and learning capacity. Mistakes are powerful in relation to teaching potency and learning efficacy, but they are not likely to be accepted by organizations. This has become a serious organizational problem. Is it possible to learn without making mistakes? This study conducts an in-depth exploration of the relation between change adaptability and acceptance of mistakes. Organizational learning is crucial for development, and technology is a major driver of growth in today’s fast-changing world. The majority of learning at work is in the form of human interactions. Hence, the question is: How do technology-driven interactions influence adaptability to change via the acceptance of mistakes in the learning process? This study analyzed 380 cases of Polish employees working in knowledge-driven organizations in various industries between November and December 2019. Analysis of moderated moderation was conducted using PROCESS software. The author found that high intensity of contacts via technology supports change adaptability through the acceptance of mistakes only for the IT industry.The main novelty from this study is that the overall “mindset†and working conditions consistency determines the employees' ability to non-formal learning from mistakes and change adaptability. Hence, the consistency of mindset and non-formal working conditions is important. Moreover, it has been noted that the industry factor matters for organizational learning studies.

Suggested Citation

  • Wioleta Kucharska, 2020. "The Power Of Mistakes: Constant Learning Culture And Technology," GUT FME Working Paper Series A 61, Faculty of Management and Economics, Gdansk University of Technology.
    • Handle: RePEc:gdk:wpaper:61
    as

    Download full text from publisher

    File URL: https://cdn.files.pg.edu.pl/zie/Strona%20polska/Nauka/Publikacje/Working%20Papers/WP_GUTFME_A_61_Kucharska.pdf
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brougham, David & Haar, Jarrod, 2018. "Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ perceptions of our future workplace," Journal of Management & Organization, Cambridge University Press, vol. 24(2), pages 239-257, March.
    2. Debowski, Shelda, 2001. "Training Performance Raters Through Error-based Experiential Learning," Journal of Management & Organization, Cambridge University Press, vol. 7(1), pages 1-12, January.
    3. Stefano Za & Cristiano Ghiringhelli & Francesco Virili, 2020. "Organizational Change and Learning: An Explorative Bibliometric-Based Literature Analysis," Lecture Notes in Information Systems and Organization, in: Alessandra Lazazzara & Francesca Ricciardi & Stefano Za (ed.), Exploring Digital Ecosystems, pages 429-442, Springer.
    4. Zhou, Dan & Kautonen, Mika & Wang, Hecheng & Wang, Lin, 2017. "How to interact with knowledge-intensive business services: A multiple case study of small and medium manufacturing enterprises in China," Journal of Management & Organization, Cambridge University Press, vol. 23(2), pages 297-318, March.
    5. Debowski, Shelda, 2001. "Training Performance Raters Through Error-based Experiential Learning," Journal of Management & Organization, Cambridge University Press, vol. 7(1), pages 1-12, January.
    6. Wioleta Kucharska & Denise A.D.Bedford, 2019. "Love Your Mistakes!-They Help You Adapt To Change. The New Scale Of Learning Culture," GUT FME Working Paper Series A 60, Faculty of Management and Economics, Gdansk University of Technology.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:bcp:journl:v:8:y:2024:i:9:p:1158-1181 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eeman Almokdad & Chung Hun Lee, 2024. "Service Robots in the Workplace: Fostering Sustainable Collaboration by Alleviating Perceived Burdensomeness," Sustainability, MDPI, vol. 16(21), pages 1-17, November.
    2. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    3. Molla, M. M., 2024. "Artificial Intelligence (AI) and Fear of Job Displacement in Banks in Bangladesh," International Journal of Science and Business, IJSAB International, vol. 42(1), pages 1-18.
    4. Mohamed Mousa & Doaa Althalathini & Vesa Puhakka, 2025. "Public Value Creation Amid Geopolitical Challenges: the Necessity of Robotizing Nurses’ Administrative Tasks in the Public Healthcare Context," Public Organization Review, Springer, vol. 25(3), pages 1423-1440, September.
    5. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    6. Olimpia Ban & Irina Maiorescu & Mihaela Bucur & Gabriel Cristian Sabou & Betty Cohen Tzedec, 2024. "AI between Threat and Benefactor for the Competences of the Human Working Force," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 762-762, August.
    7. Guanglu Xu & Ming Xue & Jidi Zhao, 2023. "The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    8. Anya Johnson & Shanta Dey & Helena Nguyen & Markus Groth & Sadhbh Joyce & Leona Tan & Nicholas Glozier & Samuel B Harvey, 2020. "A review and agenda for examining how technology-driven changes at work will impact workplace mental health and employee well-being," Australian Journal of Management, Australian School of Business, vol. 45(3), pages 402-424, August.
    9. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    10. Muhammad Farrukh Moin & Abhishek Behl & Justin Zuopeng Zhang & Amit Shankar, 2025. "AI in the Organizational Nexus: Building Trust, Cementing Commitment, and Evolving Psychological Contracts," Information Systems Frontiers, Springer, vol. 27(4), pages 1413-1424, August.
    11. Nadeem, Kashif & Wong, Sut I. & Za, Stefano & Venditti, Michelina, 2024. "Digital transformation and industry 4.0 employees: Empirical evidence from top digital nations," Technology in Society, Elsevier, vol. 76(C).
    12. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    13. Brougham, David & Haar, Jarrod, 2020. "Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    14. Zhong, Lina & Verma, Rohit & Wei, Wenqi & Morrsion, Alastair M. & Yang, Liyu, 2022. "Multi-stakeholder perspectives on the impacts of service robots in urban hotel rooms," Technology in Society, Elsevier, vol. 68(C).
    15. Horacio Molina-Sánchez & Gabriele Giorgi & Dante Castillo Guajardo & Antonio Ariza-Montes, 2022. "Special Issue “Rethinking the Subjective Wellbeing for a New Workplace Scenario”," Sustainability, MDPI, vol. 14(8), pages 1-6, April.
    16. Lingmont, Derek N.J. & Alexiou, Andreas, 2020. "The contingent effect of job automating technology awareness on perceived job insecurity: Exploring the moderating role of organizational culture," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    17. Yuhong Du & Hazrul Shahiri & Xiahai Wei, 2025. "The penetration of robotic technology, task content routinisation and job satisfaction: Evidence from China," Australian Journal of Management, Australian School of Business, vol. 50(3), pages 876-894, August.
    18. Serena Strazzullo & Sérgio Moro & Livio Cricelli, 2023. "Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(4), pages 2851-2862, August.
    19. Rongyun Zhou & Qian Zhang, 2024. "The Impact of Industrial Robots on the Sustainable Development of Zombie Firms in China," Sustainability, MDPI, vol. 16(5), pages 1-16, March.
    20. Arias-Pérez, José & Vélez-Jaramillo, Juan, 2022. "Ignoring the three-way interaction of digital orientation, Not-invented-here syndrome and employee's artificial intelligence awareness in digital innovation performance: A recipe for failure," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gdk:wpaper:61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wojciech Drapinski (email available below). General contact details of provider: https://edirc.repec.org/data/wzepgpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.