{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T13:52:46Z","timestamp":1785765166007,"version":"3.56.0"},"reference-count":99,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2018,7,12]],"date-time":"2018-07-12T00:00:00Z","timestamp":1531353600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BPMJ"],"published-print":{"date-parts":[[2019,2,8]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The knowledge transfer plays a key role in the firm\u2019s capability to develop and to maintain a strategic competitive advantage over time. The capability of the firm to develop an efficient and effective process of knowledge transfer increases the internal skills and then the capability to compete in the business with positive effects on the performance. In order to maximize the effectiveness and efficiency of the knowledge transfer process it must be consider two main variables: the amount of knowledge to be transferred and the speed of the process. In this contest, the purpose of this paper is to developed a theoretical model, defined the knowledge transfer curve, able to evaluate the knowledge transfer process on the basis of its speed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The curve of the knowledge transfer is based on the methodology of the learning curve. The curve of the knowledge transfer process can be evaluated on the basis of two main variables: the first is the content of knowledge to be transferred. It refers to the quality and quantity of the information to be transferred within the firm; and the second is the speed of the knowledge transfer process. It refers to the time in which the knowledge transfer can be realized. The function of the knowledge transfer is defined using ordinary differential equation.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>There is an inverse relationship between time<jats:italic>t<\/jats:italic>and the variation rate<jats:italic>r<\/jats:italic>. The higher the variable<jats:italic>r<\/jats:italic>, the faster the knowledge transfer toward the level<jats:italic>K<\/jats:italic>. Therefore, the variable<jats:italic>r<\/jats:italic>measures the efficiency and effectiveness of the knowledge transfer process. On the basis of these considerations, manager must evaluate their policies about the knowledge transfer on the basis of their effects on the variable<jats:italic>r<\/jats:italic>: only the policy that increases its value can be considered effective for the knowledge transfer process.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The originality resides in the development of a theoretical model that is able to capture and measure the effectiveness and efficiency of the knowledge transfer. It is possible to define a curve of knowledge transfer on the basis of these two variables: content of the knowledge to be transferred and the time of the transfer process, by using an ordinary differential equation.<\/jats:p><\/jats:sec>","DOI":"10.1108\/bpmj-06-2017-0161","type":"journal-article","created":{"date-parts":[[2018,7,12]],"date-time":"2018-07-12T05:09:21Z","timestamp":1531372161000},"page":"10-26","source":"Crossref","is-referenced-by-count":24,"title":["The curve of knowledge transfer: a theoretical model"],"prefix":"10.1108","volume":"25","author":[{"given":"Pasquale","family":"De Luca","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirian","family":"Cano Rubio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2018,7,12]]},"reference":[{"key":"key2021041509505226700_ref001","first-page":"195","article-title":"An opportunity for mutual learning between organizational learning and global strategy researchers: transactive memory systems","volume":"5","year":"2015","journal-title":"Global Strategy"},{"issue":"1","key":"key2021041509505226700_ref002","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1006\/obhd.2000.2893","article-title":"Knowledge transfer: a basis for competitive advantage in firms","volume":"82","year":"2000","journal-title":"Organizational Behaviour and Human Decision Processes"},{"issue":"5","key":"key2021041509505226700_ref003","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1287\/orsc.1100.0621","article-title":"Organizational learning: from experience to knowledge","volume":"22","year":"2011","journal-title":"Organization Science"},{"key":"key2021041509505226700_ref004","volume-title":"Organizational Learning II: Theory, Method and Practice","year":"1996"},{"issue":"7","key":"key2021041509505226700_ref005","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1287\/mnsc.44.7.996","article-title":"Survival-enhancing learning in the Manhattan hotel industry","volume":"44","year":"1998","journal-title":"Management Science"},{"issue":"3","key":"key2021041509505226700_ref006","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1287\/orsc.2.3.239","article-title":"Intraorganizational ecology of strategy making and organizational adaptation: theory and field research","volume":"2","year":"1991","journal-title":"Organization Science"},{"key":"key2021041509505226700_ref007","doi-asserted-by":"crossref","unstructured":"Burke, R. and Bold, C. 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