Techniques for the identification of organizational knowledge management requirements
Purpose: This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers. Design/methodology/approach: The method is sel...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/5698
- Acceso en línea:
- http://hdl.handle.net/11407/5698
- Palabra clave:
- Knowledge management
Organizational knowledge
Requirements techniques
- Rights
- License
- http://purl.org/coar/access_right/c_16ec
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Techniques for the identification of organizational knowledge management requirements |
| title |
Techniques for the identification of organizational knowledge management requirements |
| spellingShingle |
Techniques for the identification of organizational knowledge management requirements Knowledge management Organizational knowledge Requirements techniques |
| title_short |
Techniques for the identification of organizational knowledge management requirements |
| title_full |
Techniques for the identification of organizational knowledge management requirements |
| title_fullStr |
Techniques for the identification of organizational knowledge management requirements |
| title_full_unstemmed |
Techniques for the identification of organizational knowledge management requirements |
| title_sort |
Techniques for the identification of organizational knowledge management requirements |
| dc.subject.none.fl_str_mv |
Knowledge management Organizational knowledge Requirements techniques |
| topic |
Knowledge management Organizational knowledge Requirements techniques |
| description |
Purpose: This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers. Design/methodology/approach: The method is selection attributes. Knowledge management enablers are characterized and mapped with the coverage capabilities of requirements engineering techniques, using the attributes of the elicited object and a box-plot analysis. The information is gathered from 280 references, 32 companies and 16 experts in requirements engineering. Findings: Requirements of organizational knowledge management initiatives are got optimally by combining interviews, use cases, scenarios, laddering and focus group techniques. The requirements of structure and processes are more complex to identify, while culture requirements are the best covered. Research limitations/implications: Knowledge management enablers are analyzed according to the current studies and comprehension of engineering techniques. Practical implications: Knowledge engineers need to consider the coverage capabilities of engineering techniques to design an optimal requirement identification and meet the objectives of organizational knowledge acquisition initiatives. Requirement engineers can improve the requirements identification by a staged selection process. Social implications: The requirements of knowledge management initiatives that impact the community can be identified and traced to ensure the knowledge objectives. Requirements related to culture and people, like shared values, beliefs, and behaviors, are also considered. Originality/value: To the best of the authors knowledge, this is the first study about formal requirement identification of knowledge management initiatives in the organizational context, providing the optimal configuration. A novel staged process is proposed for requirements engineering techniques selection, analyzing the enablers at component level and identifying the attributes associated with the elicited object. © 2019, Emerald Publishing Limited. |
| publishDate |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2020-04-29T14:53:42Z |
| dc.date.available.none.fl_str_mv |
2020-04-29T14:53:42Z |
| dc.date.none.fl_str_mv |
2019 |
| dc.type.eng.fl_str_mv |
Article |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11407/5698 |
| dc.identifier.doi.none.fl_str_mv |
10.1108/JKM-08-2018-0479 |
| url |
http://hdl.handle.net/11407/5698 |
| identifier_str_mv |
10.1108/JKM-08-2018-0479 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.isversionof.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071591717&doi=10.1108%2fJKM-08-2018-0479&partnerID=40&md5=d87b7534db52c8df7724d4919f492ff9 |
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Facultad de Ingenierías |
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Journal of Knowledge Management |
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20192020-04-29T14:53:42Z2020-04-29T14:53:42Zhttp://hdl.handle.net/11407/569810.1108/JKM-08-2018-0479Purpose: This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers. Design/methodology/approach: The method is selection attributes. Knowledge management enablers are characterized and mapped with the coverage capabilities of requirements engineering techniques, using the attributes of the elicited object and a box-plot analysis. The information is gathered from 280 references, 32 companies and 16 experts in requirements engineering. Findings: Requirements of organizational knowledge management initiatives are got optimally by combining interviews, use cases, scenarios, laddering and focus group techniques. The requirements of structure and processes are more complex to identify, while culture requirements are the best covered. Research limitations/implications: Knowledge management enablers are analyzed according to the current studies and comprehension of engineering techniques. Practical implications: Knowledge engineers need to consider the coverage capabilities of engineering techniques to design an optimal requirement identification and meet the objectives of organizational knowledge acquisition initiatives. Requirement engineers can improve the requirements identification by a staged selection process. Social implications: The requirements of knowledge management initiatives that impact the community can be identified and traced to ensure the knowledge objectives. Requirements related to culture and people, like shared values, beliefs, and behaviors, are also considered. Originality/value: To the best of the authors knowledge, this is the first study about formal requirement identification of knowledge management initiatives in the organizational context, providing the optimal configuration. A novel staged process is proposed for requirements engineering techniques selection, analyzing the enablers at component level and identifying the attributes associated with the elicited object. © 2019, Emerald Publishing Limited.enghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071591717&doi=10.1108%2fJKM-08-2018-0479&partnerID=40&md5=d87b7534db52c8df7724d4919f492ff9Agan, Y., Impact of operations, marketing, and information technology capabilities on supply chain integration (2011) Journal of Economic & Social Research, 13 (1), pp. 27-56Ahmady, G.A., Mehrpour, M., Nikooravesh, A., Organizational structure (2016) Procedia: Social and Behavioral Sciences, 230, pp. 455-462Ajmal, M.M., Koskinen, K.U., Knowledge transfer in project-based organizations: an organizational culture perspective (2008) Project Management Journal, 39 (1), pp. 7-15Alexander, I.F., Maiden, N., (2005) Scenarios, Stories, Use Cases: Through the Systems Development Life-Cycle, , Wiley, ChichesterAl-Hakim, L.A., Hassan, S., Core requirements of knowledge management implementation, innovation and organizational performance (2016) Journal of Business Economics and Management, 17 (1), pp. 109-124Ali, M., Lei, S., Wei, X.-Y., Mediating role of employee relations climate between strategic-HRM and organizational performance: an empirical study of Chinese banking sector (2017) Journal of Innovation & Knowledge, 3 (3), pp. 115-122Allameh, S.M., Zare, S.M., Davoodi, S.M.R., Examining the impact of KM enablers on knowledge management processes (2011) Procedia Computer Science, 3, pp. 1211-1223Alsufyev, A., Gavrilova, T., (2016) Figures and images for codification intangibles: new look at business knowledge mapping, pp. 10-18. , VeniceAl-Zawahreh, H., Almakadmeh, K., Procedural model of requirements elicitation techniques (2015) roceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, ACM, pp. 1-6. , BatnaAmbrose, S.A., Bridges, M.W., DiPietro, M., Lovett, M.C., Norman, M.K., Mayer, R.E., (2010) How Learning Works: Seven Research-Based Principles for Smart Teaching, , Wiley, San Francisco, CAAmmar-Khodja, S., Perry, N., Bernard, A., Software engineering and knowledge engineering: from competition to cooperation (2007) The Future of Product Development, pp. 575-586. , Krause, F.-L. 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