Knowledge Management Infrastructure Framework for Enhancing Knowledge-Intensive Business Processes
| Autor: | Itzhak Aviv, Irit Hadar, Meira Levy |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Knowledge management
knowledge-intensive business processes Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry Business process Geography Planning and Development Digital transformation knowledge management infrastructure TJ807-830 Management Monitoring Policy and Law TD194-195 Competitive advantage Structuring Grounded theory Organizational knowledge knowledge processes Renewable energy sources Environmental sciences Sustainability GE1-350 business |
| Zdroj: | Sustainability, Vol 13, Iss 11387, p 11387 (2021) Sustainability Volume 13 Issue 20 |
| ISSN: | 2071-1050 |
| Popis: | In this age of digital transformation, knowledge-intensive organizations strive to improve business outcomes and sustainability by improving their knowledge-intensive business processes (KIBPs) to obtain a competitive advantage. Many researchers have claimed that KIBP enhancement is possible through knowledge management (KM) initiatives supported by an effective KM infrastructure. Current KM infrastructures deal with formal KM procedures, where knowledge is created, stored, assimilated, and disseminated. Such activities, however, are designed to be performed outside of the business process. KM infrastructures are expected to be more effective when they include specific real-time knowledge procedures integrated into the operational flow of KIBPs. This paper explores how modern KM infrastructures can support KIBPs, considering both formal and operational KM procedures. Our study’s essential contribution is the conceptual KM infrastructure framework (KMIF) developed based on grounded theory research. This infrastructure provides a systematic and robust approach, starting from the ground up, for structuring organizational knowledge assets across a range of KIBP environments. We define operational knowledge procedures directly involved in KIBPs, adding a layer to KM infrastructures beyond the formal knowledge procedures. A mixed-method case study was conducted to demonstrate and evaluate the proposed KMIF for enhancing business outcomes and sustainability of knowledge-intensive organizations. |
| Databáze: | OpenAIRE |
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