GenAI-Assisted Knowledge Generation: A Case Study on Human-Machine Collaboration Through the SECI Model
保存先:
| 出版年: | European Conference on Knowledge Management vol. 1 (Sep 2025), p. 1217-1226 |
|---|---|
| 第一著者: | |
| その他の著者: | |
| 出版事項: |
Academic Conferences International Limited
|
| 主題: | |
| オンライン･アクセス: | Citation/Abstract Full Text Full Text - PDF |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3270511971 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2048-8963 | ||
| 022 | |a 2048-8971 | ||
| 035 | |a 3270511971 | ||
| 045 | 2 | |b d20250901 |b d20250930 | |
| 084 | |a 183536 |2 nlm | ||
| 100 | 1 | |a Liccardo, Giuseppe | |
| 245 | 1 | |a GenAI-Assisted Knowledge Generation: A Case Study on Human-Machine Collaboration Through the SECI Model | |
| 260 | |b Academic Conferences International Limited |c Sep 2025 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a This paper analyses the impact of Generative Artificial Intelligence (GenAI) on the traditional phases of knowledge creation theorized Nonaka's SECI model. To the purpose, an exploratory single-case study was conducted using semistructured interviews, direct observation and document analysis within a company operating in the cybersecurity sector and software development. The case company was selected based on its strong innovation orientation, technological culture, and moderate organizational complexity, which are three factors influencing technology adoption in business environments. Interviews were conducted with employees and managers from the R&D and Operations departments, and data were triangulated with secondary sources. Qualitative data were analysed through content analysis methodology, generating an inductive coding tree. The study reveals that GenAI significantly impacts knowledge creation across existing SECI phases. Specifically, while it supports externalization, combination and internalization by facilitating knowledge transformation processes, its impact on socialization presents both opportunities and risks, particularly in the replacement of human interactions. Moreover, results reveal differentiated effects of GenAI across the SECI phases. GenAI enhances externalization, combination, and internalization by supporting the generation of formal templates, code synthesis, report creation and personalized feedback, while its effect on socialization is more ambiguous, raising concerns about critical thinking and the erosion of informal peer learning. These findings suggest that GenAI holds transformative force within knowledge dynamics, offering a unique opportunity to reconsider how human and machine-generated knowledge co-evolve. The paper's novelty and significance reside not only in the analysis of GenAI impact on well-established KM model but also in its capacity to offer organisations interesting insights on effectively integrating it into their workflows. | |
| 653 | |a Qualitative analysis | ||
| 653 | |a Software | ||
| 653 | |a Software development | ||
| 653 | |a Collaboration | ||
| 653 | |a Technology adoption | ||
| 653 | |a Phases | ||
| 653 | |a Socialization | ||
| 653 | |a Decision making | ||
| 653 | |a Knowledge management | ||
| 653 | |a Generative artificial intelligence | ||
| 653 | |a Content analysis | ||
| 653 | |a Cybersecurity | ||
| 653 | |a Impact analysis | ||
| 653 | |a Explicit knowledge | ||
| 653 | |a Organizational learning | ||
| 653 | |a Absorptive capacity | ||
| 653 | |a Research & development--R&D | ||
| 653 | |a Qualitative research | ||
| 653 | |a Efficiency | ||
| 653 | |a Case studies | ||
| 653 | |a Human-computer interaction | ||
| 700 | 1 | |a Cerchione, Roberto | |
| 773 | 0 | |t European Conference on Knowledge Management |g vol. 1 (Sep 2025), p. 1217-1226 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3270511971/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3270511971/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3270511971/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |