Characteristics Of Knowledge Transfer Research Articles

INTEGRATION OF TRADITIONAL ECOLOGICAL KNOWLEDGE IN-TO PRIMARY SCHOOL LEARNING

This research was conducted to understand the perception of people in Tawangmangu, Central Java in terms of the potential of teaching TEK in primary schools, challenges, and teaching strategies. We conducted semi-structured and unstructured interviews with 77 participants (local TEK experts, local communities, educators, and education officials). TEK in Tawangmangu includes folktales, ceremonies, offerings, typical food, terraced farming, intercropping systems, irrigation systems, crop management, herbal medicine, traditional house, and social system. Participants supported the idea because the TEK began to become extinct and identified its delivery in formal schools as a bridge to maintain it. Factors identified as obstacles are limited study time, limited access to subject matter, lack of political support, and differences in the characteristics of knowledge transfer between science and TEK. Participants claimed that the most appropriate strategy for teaching it in primary schools was to bring students closer to the real context. To teach it, the teacher chooses a number of contextual learning methods that are considered suitable, like field trips, role playing, task-based learning, and project-based learning.

The impact of knowledge transfer performance on the artificial intelligence industry innovation network: An empirical study of Chinese firms.

As a core driving force of the most recent round of industrial transformation, artificial intelligence has triggered significant changes in the world economic structure, profoundly changed our life and way of thinking, and achieved an overall leap in social productivity. This paper aims to examine the effect of knowledge transfer performance on the artificial intelligence industry innovation network and the path artificial intelligence enterprises can take to promote sustainable development through knowledge transfer in the above context. First, we construct a theoretical hypothesis and conceptual model of the innovation network knowledge transfer mechanism within the artificial intelligence industry. Then, we collect data from questionnaires distributed to Chinese artificial intelligence enterprises that participate in the innovation network. Moreover, we empirically analyze the impact of innovation network characteristics, organizational distance, knowledge transfer characteristics, and knowledge receiver characteristics on knowledge transfer performance and verify the hypotheses proposed in the conceptual model. The results indicate that innovation network centrality and organizational culture distance have a significant effect on knowledge transfer performance, with influencing factors including network scale, implicit knowledge transfer, receiver's willingness to receive, and receiver's capacity to absorb knowledge. For sustainable knowledge transfer performance on promoting Chinese artificial intelligence enterprises innovation, this paper finally delivers valuable insights and suggestions.

Effectiveness of knowledge transfer between project team members in digitally disrupted organizations

Research question: The study aims to extend and deepen the understanding of maturity level of knowledge transfer effectiveness between project team members in an organization in which disruptive innovations and external forces foster acceleration of various types of changes within organization. Motivation / Idea: Banks in Serbia are characterized by dominant functional organizational structure in which knowledge is acquired and stored in well-established departments and branches. On the other hand, the banking sector in Serbia is going through transformation mainly due to external forces that accelerate significant changes, at the same time implying meaningful increase in number and types of projects which are becoming increasingly demanding and complex. These factors further imply a shift from functionally-based operations to project-based operations. A radical shift of temporary organization from functionally-oriented to project-oriented foster new challenges when knowledge transformation is in question. Accordingly, the purpose of this paper is to research predictors for knowledge transfer success between project teams and to reveal major barriers to knowledge transfer effectiveness in the banking sector. Data / Tools: This paper opted for a survey research method and the sampling frame includes 13 banks that operate in Serbia. Findings: Research results show that knowledge transformation between project team members is low. Moreover, very dynamic circumstances, projects complexity and tight deadlines create new challenges when knowledge transfer effectiveness is in question. Accordingly, research results show that organizational understanding, valuing and adequate support for knowledge acquisition and transfer represent significant indicators for knowledge transfer success within project teams in the banking industry of Serbia. Besides, individual readiness, efforts, capabilities and history of successful knowledge transfer play an important role in knowledge transformation success. Finally, regression analysis output disclosed that all observed aspects, i.e., characteristics of knowledge transfer, individual and organizational aspects represent significant simultaneous predictors for knowledge transfer success between project teams in the banking sector of Serbia. Contribution: The paper contributes to enriching the literature on knowledge transfer between project teams in an industry’s, country’s and regional contexts that have been poorly addressed so far. By focusing on this phenomenon, the paper contributes to project managers, strategic managers and policy makers by addressing the gap between importance of knowledge transfer in one hand, and poor project outcomes on the other.

Multi-objective fuzzy optimisation of knowledge transfer organisations in the big data environment

With the advent of the big data era, the information from big data has become a type of important knowledge that enterprises need for innovation. The knowledge transfer mode and the influence factors of big data knowledge providers are different from those of traditional knowledge providers. Based on an analysis of organisational composition and characteristics of knowledge transfer in the big data environment, the influence factors and evaluation index systems of big data knowledge providers are established. A multi-objective fuzzy optimisation model is constructed to derive satisfactory knowledge providers by finding optimal sequences. Meanwhile, this model can provide a cooperative decision-making method for knowledge transfer organisations to enhance the efficiency of knowledge transfer in the big data environment.

Interfirm Alliance Interactions and Knowledge Learning : A Conceptual Research Model

Alliance raises many knowledge transfer and interfirm learning issues that have implications for how the alliance partners manage their cooperative learning activities in the alliance system. Many of these implications are grounded in the assumption that partners in the alliances have routines for transferring knowledge, learning, gaining management efficiencies. Thus organisations can support knowledge flow, learning, sharing and even developing with technology and management practices in alliances. This paper introduces a conceptual research model of knowledge transfer within learning IJVs. Based on the review of the literature, this paper identified each category relevant to the research model of knowledge transfer in alliances and proposed several research questions when considering the particular characteristics of knowledge transfer and learning process as an additional way of looking at cooperative relationships. The purpose was to illustrate the importance of interfirm knowledge transfer in IJVs and relevant knowledge transfer barriers and facilitating mechanisms and knowledge transfer stages for alliance partners faced with the new knowledge environments. It justifies the constructs and identifies the interrelationships among these concepts through proposing a framework of interfirm knowledge transfer and organisational learning in IJVs.

Characteristics and determinants of knowledge transfer policies at universities and public institutions in medical research--protocol for a systematic review of the qualitative research literature.

BackgroundUniversities, public institutions, and the transfer of knowledge to the private sector play a major role in the development of medical technologies. The decisions of universities and public institutions regarding the transfer of knowledge impact the accessibility of the final product, making it easier or more difficult for consumers to access these products. In the case of medical research, these products are pharmaceuticals, diagnostics, or medical procedures. The ethical dimension of access to these potentially lifesaving products is apparent and distinguishes the transfer of medical knowledge from the transfer of knowledge in other areas. While the general field of technology transfer from academic and public to private actors is attracting an increasing amount of scholarly attention, the specifications of knowledge transfer in the medical field are not as well explored. This review seeks to provide a systematic overview and analysis of the qualitative literature on the characteristics and determinants of knowledge transfer in medical research and development.MethodsThe review systematically searches the literature for qualitative studies that focus on knowledge transfer characteristics and determinants at medical academic and public research institutions. It aims at identifying and analyzing the literature on the content and context of knowledge transfer policies, decision-making processes, and actors at academic and public institutions. The search strategy includes the databases PubMed, Web of Science, ProQuest, and DiVa. These databases will be searched based on pre-specified search terms. The studies selected for inclusion in the review will be critically assessed for their quality utilizing the Qualitative Research Checklist developed by the Clinical Appraisal Skills Programme. Data extraction and synthesis will be based on the meta-ethnographic approach.DiscussionThis review seeks to further the understanding of the kinds of transfer pathways that exist in medical knowledge transfer as well as what factors lead to the adoption of one pathway over another. The aim is to provide evidence for political and academic actors designing policies for the translation of medical knowledge and public-private cooperation.Systematic review registrationPROSPERO CRD42015014241.