Intergenerational Knowledge Transfer - Dissertation Results
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The document discusses a Delphi study examining knowledge transfer between baby boomer and Generation X aerospace engineers. The study found barriers to knowledge transfer include heavy workload and lack of trust. Optimal knowledge transfer occurred through social relationships and mentoring. Strategies identified to enhance transfer include pairing engineers, teamwork, communication, and management support of mentoring programs and a knowledge-sharing culture. The study provides implications for leadership to mitigate barriers and facilitate intergenerational knowledge transfer.
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corporation think that vision, talent, and technology are
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management and analysis, insuring the big data success[8].
Bibliometrics research has appeared as early as 1917[9],
and has been proved an effective method for assessing or
identifying talents. Based on analyses of publication volume,
journals and their impact factors, most cited articles and
authors, preferred methods, and represented countries,
Gallardo-Gallardo et. al[10] assess whether talent management
should be approached as an embryonic, growth, or mature
phenomenon.
In this paper, we intend to analysis whether China need to
introduce top talents in the field of big data and cloud
computing by using bibliometrics. In section 2, the 3-F method
for top talent introduction demand analysis will be dis.
Analysis on the Demand of Top Talent Introduction in Big Dat.docx
Analysis on the Demand of Top Talent Introduction
in Big Data and Cloud Computing Field in China
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Zhao Linjia, Huang Yuanxi, Wang Yinqiu, Liu Jia
National Academy of Innovation Strategy, China Association for Science and Technology, Beijing, P.R.China
AbstractโBig data and cloud computing, which can help
China to implement innovation-driven development strategy and
promote industrial transformation and upgrading, is a new and
emerging industrial field in China. Educated, productive and
healthy workforces are necessary factor to develop big data and
cloud computing industry, especially top talents are essential.
Therefore, a three-step method named 3-F has been introduced
to help describing the distribution of top talents globally and
making decision whether they are needed in China. The 3-F
method relies on calculating the brain gain index to analysis the
top talent introduction demand of a country. Firstly, Focus on the
high-frequency keywords of a specific field by retrieving the
highly cited papers. Secondly, using those keywords to Find out
the top talents of this specific field in the Web of Science. Finally,
Figure out the brain gain index to estimate whether a country
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cloud computing field was 2.61, which means China need to
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phenomenon.
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PPOL 650Issue Analysis Paper InstructionsYou will submit a p.docx
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Issue Analysis Paper Instructions
You will submit a paper analyzing an issue related to the intersection of international law, policy, politics, and diplomacy. Upon review of the course material and topics of study, you will select a topic based on concepts studied during the course. You must identify a major international crisis, provide a factual background, collect data describing the process used to resolve the crisis, explain whether the plan used was the best course of action, and explain the outcome. You are required to compare the effectiveness of the plan in light of all the international issues, identify the specific strengths and weaknesses of the approach, and note how diplomacy was used to address the crisis. You must also include a review of alternate plans that may have been effective in resolving the issue. The paper must include a minimum of 3โ5 scholarly sources (ex. books or peer reviewed articles) formatted in current Turabian style. The assignment must be 5โ7 pages.
Your Issue Analysis Paper is due by 11:59 p.m. (ET) on Sunday of Module/Week 3.
Analysis on the Demand of Top Talent Introduction
in Big Data and Cloud Computing Field in China
Based on 3-F Method
Zhao Linjia, Huang Yuanxi, Wang Yinqiu, Liu Jia
National Academy of Innovation Strategy, China Association for Science and Technology, Beijing, P.R.China
AbstractโBig data and cloud computing, which can help
China to implement innovation-driven development strategy and
promote industrial transformation and upgrading, is a new and
emerging industrial field in China. Educated, productive and
healthy workforces are necessary factor to develop big data and
cloud computing industry, especially top talents are essential.
Therefore, a three-step method named 3-F has been introduced
to help describing the distribution of top talents globally and
making decision whether they are needed in China. The 3-F
method relies on calculating the brain gain index to analysis the
top talent introduction demand of a country. Firstly, Focus on the
high-frequency keywords of a specific field by retrieving the
highly cited papers. Secondly, using those keywords to Find out
the top talents of this specific field in the Web of Science. Finally,
Figure out the brain gain index to estimate whether a country
need to introduce top talents of a specific field abroad. The result
showed that the brain gain index value of China's big data and
cloud computing field was 2.61, which means China need to
introduce top talents abroad. Besides P. R. China, those top
talents mainly distributed in the United States, the United
Kingdom, Germany, Netherlands and France.
I. INTRODUCTION
Big data and cloud computing is a new and emerging
industrial field[1], and increasing widely used in China[2-4].
Talentsโ experience is a source of technological mastery[5],
essentially for developing and using big data technologies.
Most European states consider the immigra.
Importance of Science, by Industry
This paper addresses the types of knowledge that are needed in entrepreneurial firms using a unique data base of executives and directors for all IPOs filed between 1990 and 2010. Using highest educational degrees as a proxy for educational knowledge, it shows that 85% of those with PhDs are concentrated in the life sciences and ICT (information and communication technology) industries and second, that those in the ICT industries are concentrated at lower layers in a โdigital stackโ of industries, ranging from semiconductors and other electronics at the bottom layer to computing and Internet infrastructure at the middle layer and Internet content, commerce, and services in the top layer. Third, industries with fewer PhDs have more bachelorโs and MBA degrees suggesting that PhDs are being replaced by them and not M.S. degrees. Fourth, age is higher for industries with the most PhDs thus suggesting a greater need for experiential knowledge in industries with greater needs for educational knowledge. Fifth, the number of Nobel Prizes tracks industries with high fractions of PhDs.
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