Managing Knowledge at the Time of Artificial Intelligence: An Explorative Study with Knowledge Workers


  • Amelia Manuti University of Bari Aldo Moro, Italy
  • Dalila Monachino University of Bari Aldo Moro, Italy



knowledge management, Artificial Intelligence, knowledge workers, organizational development


In the evolutionary context of Industry 4.0, where machine learning and machine to machine technology are powerful tools for the maintenance and replicability of knowledge, the implementation of hybrid systems based on the use of Artificial Intelligence (AI) represents the key to organizational innovation and to the capitalization of knowledge. At the same time, the benefits of digital transformation for individuals and teams are often not so clear - and uncertainty surrounding the future often results in fear in those being impacted. Fear of changes to their job, fear of a job role change, job losses, being faced with learning new skills, new technology or new ways of working. Therefore, to secure the transition to the digitization organizations need to carefully support their human resources and to provide them with the reasons why they need to commit to change. In this perspective, the study aimed to investigate how high-qualified knowledge workers cope with this new situation. Yet, participants were a group of project managers, employed in some knowledge-based organizations, in which AI and digitalization systems are going to be introduced to improve replicability, circulation and storage of knowledge. The choice of this peculiar target of participants was guided by the acknowledgement of their important role within the organization, being project managers generally considered as agents of change. In view of the above, the main goal was to collect project managers’ expectations and fears about the upcoming integration of secularized company flows with performing process automation strategies. In-depth individual interviews were conducted and diatextual analysis was used to approach the discursive data collected. Results showed interesting insights both in terms of organizational management implications as well as of future research development. Participants showed clear awareness about the need to “go digital” to improve organizational performance and to stay competitive. However, they underlined the importance of parallel invest on human capital, improving crucial soft skills such as: openness to change, flexibility and the ability to work in a team, that could concretely support digital changes in procedures and work processes. 



Download data is not yet available.

Author Biographies

Amelia Manuti, University of Bari Aldo Moro, Italy

Dalila Monachino, University of Bari Aldo Moro, Italy


Ahmad, S. (2014). Technology in organizations. International Journal of Research in Business Management, 2(7), 73-80.

Amigoni, F., Schiaffonati, V., & Somalvico, M. (2008). Enciclopedia della Scienza e della Tecnica, Rome: Treccani.

Ankrah, E., & Sokro, E. (2012). Human Resource Information System as a Strategic tool in Human Resource Management, Central University College, Ghana.

Anolli, L. (2012). Fondamenti di Psicologia della Comunicazione, Il Mulino, Bologna.

Bandini, S. (2008). Knowledge Management L’eredità Dei Sistemi Esperti. Mondo Digitale, 3, 27-37. Retrieved from:

Barney, J.B. (2006). Risorse, competenze e vantaggi competitivi. Manuale di strategia aziendale. Rome: Carocci.

Birzniece, I. (2011). Artificial Intelligence in Knowledge Management: Overview and Trends. Applied Computer Systems, 43(1), 5-11.

Boland, R., Tenkasi, R., & Dov Te'eni. (1994). Designing information technology to support distributed cognition. Organization Science, 5(3), 456-475.

Bonifacio, M., & Bouquet, P. (2002). Enabling distributed knowledge management. Managerial and technological implications. Upgrade, 3(1), 1-7. Retrieved from:

Chang Lee, M., (2016) Knowledge management and innovation management: Best practices in knowledge sharing and knowledge value chain. International Journal of Innovation and Learning, 19.

Consoft Sistemi (2019). L’intelligenza Artificiale al servizio dell’uomo. Dalla cybersecurity alla cooperazione allo sviluppo, criticità e punti di forza della tecnologia del futuro, Digital Transformation per lo sviluppo sostenibile. Retrieved from:

Crismore, A., Markkanen, R., & Steffensen, M. (1993). Metadiscourse in persuasive writing: A study of texts written by American and Finnish university students. Written Communication. 10(1), 39-7.

Davenport, T.H., & Prusak, L. (2000). Il sapere al lavoro: come le aziende possono generare, codificare e trasferire conoscenza, ETAS, 31-64.

Donzelli, A., & Fasulo, A. (2007). Agency e linguaggio. Etnoteorie della soggettività e della responsabilità nell'azione sociale, Booklet, Milan.

Eco, U. (1975). Trattato di semiotica generale, Bompiani, Milan.

Gast, A. & Lansink, R. (2015). Digital hives: Creating a surge around change. McKinsey Quarterly. Retrieved from:

Maci, L. (2018). Che cos’è l’Industria 4.0 e perché è importante saperla affrontare, EconomyUp, Milan.

Magone, A., Mazali, T., & Segantini, E. (2016). Industria 4.0, uomini e macchine nella fabbrica digitale, Guerini e Associati Edizioni: Milan.

March, J.G., &Simon, H.A. (1958). Organizations, John Wiley & Sons, NY.

McAdam, R. (2000). Knowledge management as a catalyst for innovation within organizations: a qualitative study, Knowledge and Process Management – The Journal of Corporate Transformation, 7(4), 233-241.<233::AID-KPM94>3.0.CO;2-F.

Mininni, G. (2003). Il discorso come forma di vita, Guida, Naples.

Nonaka, I., & Takuechi, H. (1995). The Knowledge Creating Company. Oxford University Press, Oxford.

Parente, R. (2008). Co-Evoluzione e cluster Tecnologici, Aracne, Rome.

Prahalad, C.K., & Hamel, G. (2000). The Core Competence of the Corporation. In Cross R.L., Israelit S.B.,Strategic Learning in Knowledge Economy: Individual, Collective and Organizational Learning Process, (Eds.). (pp.3-22). Butterworth Heinemann, Boston.

Rajan, A., Lank, E., & Chapple, K. (1999). Dalla cultura individuale alla cultura organizzativa: favorire la creazione e lo scambio di conoscenze, ITER, Rome.

Rullani, E. (2000). Sistemi locali e produzione di conoscenza, relazione al Convegno Ocse su Enhancing the Competitiveness of Smes in the Global Economy: Strategies and Policies, Bologna.

Schilling, M. (2013). Gestione dell’Innovazione, McGraw Hill, Milan.

Seghezzi, F. (2015). Come cambia il lavoro nell’Industry 4.0?, Working Paper ADAPT, DAPT University Press.

Serrat, 0. (2017). Building a Learning Organization. In: Knowledge Solutions. Springer, Singapore, 57-67.

Zanzotto, F.M. (2019). Viewpoint: Human-in-the-loop Artificial Intelligence, Journal of Artificial Intelligence Research, 64, 243-252.




How to Cite

Manuti, A., & Monachino, D. (2020). Managing Knowledge at the Time of Artificial Intelligence: An Explorative Study with Knowledge Workers. East European Journal of Psycholinguistics, 7(2).



Vol 7 No 2 (2020)