63 research outputs found
A decision tree conceptualization of choice of knowledge transfer mechanism: the views of software development specialists in a multinational company
No full textPurpose– The purpose of this paper is to empirically study transfer mechanisms of technological knowledge, and to explore the interplay among the factors that influence the choice of a mechanism.Design/methodology/approach– This paper reports on a qualitative case study designed to explore the reasons underlying the selection of intra-organizational knowledge transfer mechanisms. This research was carried out as an exploratory case study, which allowed one to observe the phenomenon in a natural setting.Findings– The results of the present study indicate the interplay between the factors, and link the factors in a sequence that help decide a mechanism. A decision to select a mechanism depends upon several variables; some of them override others, others are interlinked, and sometimes there is a causal link.Research limitations/implications– It is based on a sample of employees that may not be representative of the broader population. Since the samples were drawn only from a MNC, the results may not be generalised. The case study method which was employed in this research does not permit the generalisation of the results.Originality/value– The knowledge transfer literature has discussed the mechanisms used to transfer technological knowledge, but has failed to adequately address the rationale behind the selection of an appropriate knowledge transfer mechanism. The extant literature has isolatedly identified factors that impact on the choice of knowledge transfer mechanism. These issues are not effectively addressed in prior research. The findings are summarized diagrammatically in the form of a decision tree which provides a conceptualization of the decision processes involved in the selection of the medium for knowledge transfer
The challenges of navigating a topic to a prospective researcher: the case of knowledge management research
No full textExploring a researchable topic and narrowing it down sufficiently to make it workable is a first task in any scientific research. This is particularly difficult when the researcher is a novice, because s(he) is unlikely to be properly aware of what the essential issues and the research question(s) in the field are. This article addresses the question of how to navigate a research topic for an academic project. The article is potentially of interest to novice researchers and researchers new to a field. Illustrating its argument by means of an example in the area of knowledge management, the article proposes a set of guidelines for narrowing down a research topic to workable size. A number of recommendations are made; by utilizing these recommendations to construct a navigation map, it is hoped that a researcher can use fully formulate research question(s). It can be argued that drawing such a navigation map is an art in which prospective researchers need to be trained
Knowledge transfer frameworks: an extension incorporating knowledge repositories and knowledge administration
No full textWhile theories abound concerning knowledge transfer in organisations, little empirical work has been undertaken to assess any possible relationship between repositories of knowledge and those responsible for the use of knowledge. This paper develops a knowledge transfer framework based on an empirical analysis of part of the UK operation of a Fortune 100 corporation, which extends existing knowledge transfer theory. The proposed framework integrates knowledge storage and knowledge administration within a model of effective knowledge transfer. This integrated framework encompasses five components: the actors engaged in the transfer of knowledge, the typology of organisational knowledge that is transferred between the actors, the mechanisms by which the knowledge transfer is carried out, the repositories where explicit knowledge is retained and the knowledge administrator equivalent whose function is to manage and maintain knowledge. The paper concludes that a ‘hybridisation’ of knowledge transfer approach, revealed by the framework, offers some promise in organisational applications.<br/
Correction to: Cross-influence of Information and Risk Effects on the IPO Market: Exploring Risk Disclosure with a Machine Learning Approach (Annals of Operations Research, (2022), 10.1007/S10479-022-05012-8)
No full textAuthors affiliations were mistakenly indicated as Huosong Xia1,2, Juan Weng1 , Sabri Boubaker3, Zuopeng Zhang4,6, Sajjad M. Jasimuddin5,7 and needs to be correctly read as: Huosong Xia1,2, JuanWeng1, Sabri Boubaker3,4,5, Zuopeng Zhang6, SajjadM. Jasimuddin7 Original article has been corrected. \textcopyright The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
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