کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350728 618455 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Knowledge management acquisition improvement by using software engineering elicitation techniques
ترجمه فارسی عنوان
بهبود مهارت مدیریت دانش با استفاده از تکنیک های مهندسی نرم افزار
کلمات کلیدی
تحقق دانش، تکنیک های مورد نیاز، خارج کردن دانش، بازده کسب دانش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• The elicitation techniques provided by software engineering can improve knowledge acquisition.
• Knowledge acquisition using software engineering techniques.
• Case study to evaluate the efficiency of the elicitation techniques provided by software engineering.
• Efficiency of use of software elicitation techniques in terms of time and effort.
• Improve of the knowledge acquisition through use of elicitation techniques provided by software engineering.

The knowledge externalization phase involves acquiring and transferring the knowledge of individuals to an abstract and effective representation, to organize it, to model it and finally to express this knowledge in an understandable and reusable format. This phase presents some difficulties at the moment to choose the technique that best fit with the knowledge type to be elicited, and sometimes the selected technique is not complete enough to capture all the relevant knowledge for a specific domain. In sum, there are not mechanisms that can be used as a discernment element at the moment to choose the knowledge elicitation technique that better adjust to a particular situation. This paper presents the results obtained from an empirical validation developed to determine the efficiency of knowledge acquisition in the externalization phase of Nonaka’s model, using a set of software engineering elicitation techniques. Efficiency compared with quality of the knowledge acquired can provide a good mechanism to select the most suitable technique to knowledge externalization for each situation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 30, January 2014, Pages 721–730
نویسندگان
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