KnowEval: A Tool for Supporting Knowledge Transfer Evaluation
Abstract
The evaluation of Knowledge Transfer (KT) processes is essential for promoting organizational learning, enhancing operational efficiency, and fostering innovation. However, existing tools described in the literature offer limited support to organizations in this area. In general, knowledge about these tools remains unsystematized, lacks empirical validation, and is not widely adopted in practice. This article presents an overview of the key features of KnowEval, a decision support tool designed to recommend appropriate processes for KT evaluation based on strategic input variables. Furthermore, we describe the structured and dynamic database that enables the continuous integration of new evaluation processes. Finally, we present the validation results of KnowEval, using scenarios derived from an exploratory review of the literature. Video Available on: https://zenodo.org/records/15485087
Keywords:
Knowledge Transfer, Process Evaluation, Web-based tool
References
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Z. Gu, F. Meng, and M. Farrukh. 2021. Mapping the Research on Knowledge Transfer: A Scientometrics Approach. IEEE Access 9 (2021), 34647–34659.
Y. Luo and Y. Zhou. 2016. A Decision Support System for Supplier Selection Using an Improved Mergesort Algorithm. Mathematical Problems in Engineering 2016 (2016), Article 1–13.
Cinelli, M., Kadziński, M., Miebs, G., Gonzalez, M., & Słowiński, R. 2021. Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system.
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Scanlan, J. (2018). A Capability Maturity Framework for Knowledge Transfer. Industry and Higher Education, 32(4), 235–244.
Patalas-Maliszewska, J., & Krebs, I. (2016). A Model of the Tacit Knowledge Transfer Support Tool: CKnow-Board. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies (pp. 30–41). Springer, Cham.
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Tian, H., Guan, C.: Evaluation of the Effectiveness of Knowledge Transfer between Enter-prise Mentoring and Apprenticeship Based on the AHP-FCE Model Set. International Con-ference on Big Data Economy and Information Management (2023).
W. Ferreira, J. Saraiva, and S. Soares. " A Conceptual Framework to Support Organizational Knowledge Transfer Evaluation", in Anais Estendidos do XXI Simpósio Brasileiro de Sistemas de Informação, Recife/PE, 2025, pp. 345-351, DOI: 10.5753/sbsi_estendido.2025.246898.
Claudia P. C. Maciel, E. F. S., Ricardo de A. F., Katia R. F., and Nandamudi L. V. 2018. Knowledge Management Diagnostics in Software Development Organizations: a Systematic Literature Review. In Proceedings of the XVII Brazilian Symposium on Software Quality (SBQS '18). Association for Computing Machinery, New York, NY, USA, 141–150. DOI: 10.1145/3275245.3275260
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Cunha, F. O. M., Perkusich, M., Almeida, H. O., Gorgônio, K., & Perkusich, A. (2022). TeamPlus: A Decision Support System for Software Team Formation. In Proceedings of the 36th Brazilian Symposium on Software Engineering (SBES 2022) (pp. 118–123). Association for Computing Machinery. DOI: 10.1145/3555228.3555275.
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Dellermann, D., Lipusch, N., Ebel, P., & Leimeister, J. M. (2021). Design principles for a hybrid intelligence decision support system for business model validation.
Almalki, S. S. (2025). AI-Driven Decision Support Systems in Agile Software Project Management: Enhancing Risk Mitigation and Resource Allocation. Systems, 13(3), 208. DOI: 10.3390/systems13030208.
Saray Galeano Ospino, Liliana Machuca-Villegas, Gloria Piedad Gasca-Hurtado. 2023. Knowledge Transfer in Software Development Teams: a Gamification Strategy to Encourage Collaboration. Revista Ingenierias Universidad de Medellín. DOI: 10.22395/rium.v21n41a2
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S. S. Almalki. 2025. AI-Driven Decision Support Systems in Agile Software Project Management: Enhancing Risk Mitigation and Resource Allocation. Systems, 13(3), 208. DOI: 10.3390/systems13030208
D. Marijan and A. Gotlieb. 2022. Industry-Academia Research Collaboration in Software Engineering: The Certus Model. arXiv preprint arXiv:2204.11039. DOI: 10.48550/arXiv.2204.11039
B. Cartaxo, G. Pinto, and S. Soares. 2020. Rapid Reviews in Software Engineering. arXiv preprint arXiv:2003.10006. DOI: 10.48550/arXiv.2003.10006
F. O. Bjørnson and T. Dingsøyr. 2018. Knowledge Management in Software Engineering: A Systematic Review of Studied Concepts, Findings and Research Methods Used. arXiv preprint arXiv:1811.12278. DOI: 10.48550/arXiv.1811.12278
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Silberschatz, A., Korth, H. F., & Sudarshan, S. 2010. Database System Concepts. McGraw-Hill.
Nonaka, I., & Takeuchi, H. 1995. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press.
Smith, E.A. 2001, "The role of tacit and explicit knowledge in the workplace", Journal of Knowledge Management, Vol. 5 No. 4, pp. 311-321. DOI: 10.1108/13673270110411733
Qian, X., Liu, X., Pu, R. 2020. Evaluation of Knowledge Transfer Efficiency Based on the Synergy of Innovative Clusters. Journal of Creative Entrepreneurship and Management, Vol. 1, No. 2, pp. 1-25.
Hamrouni, B.; Bourouis, A.; Korichi, A.; Brahmi, M. 2021. Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability. Sustainability, 13, 9819. DOI: 10.3390/su13179819.
Christian Ullenboom. 2023. Spring Boot 3 and Spring Framework 6. Rheinwerk Computing, Bonn, Germany.
Diptiben Ghelani, Tan Kian Hua, Surendra Kumar Reddy Koduru. (2022). A Model-Driven Approach for Online Banking Application Using AngularJS Framework. American Journal of Information Science and Technology, 6(3), 52-63. DOI: 10.11648/j.ajist.20220603.12
Bass, Len, Paul Clements, and Rick Kazman.2021. Software architecture in practice. Addison-Wesley Professional.
Madurapperuma, I. H., M. S. Shafana, and M. J. A. Sabani. 2022. State-of-art frameworks for front-end and back-end web development.
Al-Faruq, M. N. M., Nur’aini, S., & Aufan, M. H. (2022). Perancangan Ui/Ux Semarang Virtual Tourism Dengan Figma. Walisongo Journal of Information Technology, 4(1), 43-52.
Augusto Campos. 2006. O que é software livre. Disponível em: [link]. Acesso em: 20 de maio de 2025.
Guest, G.; Namey, E.; Mckenna, K. How many focus groups are enough? Building an evidence base for nonprobability sample sizes. Field Methods, v. 29, n. 1, p. 3–22, 2017. DOI: 10.1177/1525822X16639015.
[link]
[link]
[link]
Z. Gu, F. Meng, and M. Farrukh. 2021. Mapping the Research on Knowledge Transfer: A Scientometrics Approach. IEEE Access 9 (2021), 34647–34659.
Y. Luo and Y. Zhou. 2016. A Decision Support System for Supplier Selection Using an Improved Mergesort Algorithm. Mathematical Problems in Engineering 2016 (2016), Article 1–13.
Cinelli, M., Kadziński, M., Miebs, G., Gonzalez, M., & Słowiński, R. 2021. Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system.
Perez-Soltero, A., Aguilar-Bernal, C., Barceló-Valenzuela, M., Sánchez-Schmitz, G., Meroño-Cerdán, A. L., & Fornés-Rivera, R. (2019). Knowledge Transfer in Training Processes: Towards an Integrative Evaluation Model. IUP Journal of Knowledge Management, 17(1), 7–40.
Scanlan, J. (2018). A Capability Maturity Framework for Knowledge Transfer. Industry and Higher Education, 32(4), 235–244.
Patalas-Maliszewska, J., & Krebs, I. (2016). A Model of the Tacit Knowledge Transfer Support Tool: CKnow-Board. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies (pp. 30–41). Springer, Cham.
Campbell, A., Carvill, E., Elliott, R.: Annual Review and Annual Knowledge Transfer Sur-vey, 2018. Knowledge Transfer Ireland - KTI, Where Research & Business Connect (2019).
Tian, H., Guan, C.: Evaluation of the Effectiveness of Knowledge Transfer between Enter-prise Mentoring and Apprenticeship Based on the AHP-FCE Model Set. International Con-ference on Big Data Economy and Information Management (2023).
W. Ferreira, J. Saraiva, and S. Soares. " A Conceptual Framework to Support Organizational Knowledge Transfer Evaluation", in Anais Estendidos do XXI Simpósio Brasileiro de Sistemas de Informação, Recife/PE, 2025, pp. 345-351, DOI: 10.5753/sbsi_estendido.2025.246898.
Claudia P. C. Maciel, E. F. S., Ricardo de A. F., Katia R. F., and Nandamudi L. V. 2018. Knowledge Management Diagnostics in Software Development Organizations: a Systematic Literature Review. In Proceedings of the XVII Brazilian Symposium on Software Quality (SBQS '18). Association for Computing Machinery, New York, NY, USA, 141–150. DOI: 10.1145/3275245.3275260
M. Rohrbach, M. Stark and B. Schiele, "Evaluating knowledge transfer and zeroshot learning in a large-scale setting," CVPR 2011, Colorado Springs, CO, USA, 2011, pp. 1641-1648, DOI: 10.1109/CVPR.2011.5995627.
Cunha, F. O. M., Perkusich, M., Almeida, H. O., Gorgônio, K., & Perkusich, A. (2022). TeamPlus: A Decision Support System for Software Team Formation. In Proceedings of the 36th Brazilian Symposium on Software Engineering (SBES 2022) (pp. 118–123). Association for Computing Machinery. DOI: 10.1145/3555228.3555275.
Milagres, R., Burcharth, A. 2018. Knowledge transfer in interorganizational partnerships: what do we know? Business Process Management Journal, 25, 27-68.
Bardin, L.: Content Analysis. São Paulo: Ed. 70 (2011).
Lima, J. L.O., Manini, M. P.: Methodology for Qualitative Content Analysis with the technique of Mind Maps using Nvivo and FreeMind softwares. Inf. Inf., L, 21, 63 – 100 (2016).
Dellermann, D., Lipusch, N., Ebel, P., & Leimeister, J. M. (2021). Design principles for a hybrid intelligence decision support system for business model validation.
Almalki, S. S. (2025). AI-Driven Decision Support Systems in Agile Software Project Management: Enhancing Risk Mitigation and Resource Allocation. Systems, 13(3), 208. DOI: 10.3390/systems13030208.
Saray Galeano Ospino, Liliana Machuca-Villegas, Gloria Piedad Gasca-Hurtado. 2023. Knowledge Transfer in Software Development Teams: a Gamification Strategy to Encourage Collaboration. Revista Ingenierias Universidad de Medellín. DOI: 10.22395/rium.v21n41a2
Lihong Zhang, Saeed Banihashemi, Liting Zhu, Homa Molavi, Eyyub Odacioglu, Miyuan Shan. A scientometric analysis of knowledge transfer partnerships in digital transformation. Journal of Open Innovation: Technology, Market, and Complexity, Volume 10, Issue 3, 2024, 100325, ISSN 2199-8531, DOI: 10.1016/j.joitmc.2024.100325.
S. S. Almalki. 2025. AI-Driven Decision Support Systems in Agile Software Project Management: Enhancing Risk Mitigation and Resource Allocation. Systems, 13(3), 208. DOI: 10.3390/systems13030208
D. Marijan and A. Gotlieb. 2022. Industry-Academia Research Collaboration in Software Engineering: The Certus Model. arXiv preprint arXiv:2204.11039. DOI: 10.48550/arXiv.2204.11039
B. Cartaxo, G. Pinto, and S. Soares. 2020. Rapid Reviews in Software Engineering. arXiv preprint arXiv:2003.10006. DOI: 10.48550/arXiv.2003.10006
F. O. Bjørnson and T. Dingsøyr. 2018. Knowledge Management in Software Engineering: A Systematic Review of Studied Concepts, Findings and Research Methods Used. arXiv preprint arXiv:1811.12278. DOI: 10.48550/arXiv.1811.12278
Fredrik Sunnemark, Wilma Lundqvist Westin, Tamy Al Saad, Per Assmo. 2024. Exploring barriers and facilitators to knowledge transfer and learning processes through a cross-departmental collaborative project in a municipal organization, The Learning Organization, Volume 31, Issue 3, 2024, Pages 358-374, ISSN 0969-6474, DOI: 10.1108/TLO-01-2023-0003.
Silberschatz, A., Korth, H. F., & Sudarshan, S. 2010. Database System Concepts. McGraw-Hill.
Nonaka, I., & Takeuchi, H. 1995. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press.
Smith, E.A. 2001, "The role of tacit and explicit knowledge in the workplace", Journal of Knowledge Management, Vol. 5 No. 4, pp. 311-321. DOI: 10.1108/13673270110411733
Qian, X., Liu, X., Pu, R. 2020. Evaluation of Knowledge Transfer Efficiency Based on the Synergy of Innovative Clusters. Journal of Creative Entrepreneurship and Management, Vol. 1, No. 2, pp. 1-25.
Hamrouni, B.; Bourouis, A.; Korichi, A.; Brahmi, M. 2021. Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability. Sustainability, 13, 9819. DOI: 10.3390/su13179819.
Christian Ullenboom. 2023. Spring Boot 3 and Spring Framework 6. Rheinwerk Computing, Bonn, Germany.
Diptiben Ghelani, Tan Kian Hua, Surendra Kumar Reddy Koduru. (2022). A Model-Driven Approach for Online Banking Application Using AngularJS Framework. American Journal of Information Science and Technology, 6(3), 52-63. DOI: 10.11648/j.ajist.20220603.12
Bass, Len, Paul Clements, and Rick Kazman.2021. Software architecture in practice. Addison-Wesley Professional.
Madurapperuma, I. H., M. S. Shafana, and M. J. A. Sabani. 2022. State-of-art frameworks for front-end and back-end web development.
Al-Faruq, M. N. M., Nur’aini, S., & Aufan, M. H. (2022). Perancangan Ui/Ux Semarang Virtual Tourism Dengan Figma. Walisongo Journal of Information Technology, 4(1), 43-52.
Augusto Campos. 2006. O que é software livre. Disponível em: [link]. Acesso em: 20 de maio de 2025.
Guest, G.; Namey, E.; Mckenna, K. How many focus groups are enough? Building an evidence base for nonprobability sample sizes. Field Methods, v. 29, n. 1, p. 3–22, 2017. DOI: 10.1177/1525822X16639015.
[link]
[link]
[link]
Published
2025-09-22
How to Cite
FERREIRA JUNIOR, José Wilson Cavalcanti; FERREIRA, Williby; SARAIVA, Juliana; SOARES, Sérgio.
KnowEval: A Tool for Supporting Knowledge Transfer Evaluation. In: BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES), 39. , 2025, Recife/PE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 928-934.
ISSN 2833-0633.
DOI: https://doi.org/10.5753/sbes.2025.11170.
