Intelligent Manufacturing Engineers’Knowledge Transfer and Innovation Capability:From the Perspective of Big Data Acceptance Attitude

In the face of intelligent manufacturing(or smart manufacturing)human resource shortage,the training of industrial engineers in the field of intelligent manufacturing is of great significance.In academia,the positive link between learning transfer and knowledge innovation is recognized by most scholars,while the learner’s attitude toward big data decision-making,as a cognitive perception,affects learning transfer from the learner’s experienced engineering paradigm to the intelligent manufacturing paradigm.Thus,learning transfer can be regarded as a result of the learner’s attitude,and it becomes the intermediary state between their attitude and knowledge innovation.This paper reviews prior research on knowledge transfer and develops hypotheses on the relationships between learner acceptance attitude,knowledge transfer,and knowledge innovation.

Fuzzy multiple attribute decision-making model for synergic knowledge innovation in supply chain

The procedure of supply chain development is the process of continuously congregating knowledge and transforming knowledge.First,the precondition of synergic knowledge innovation in the supply chain is narrated.Then the characteristics of synergic knowledge innovation in the supply chain are analyzed,including complexity,accumulating and evolving process,and the cooperation of members and network integration.Due to the characteristics of multi-factors and uncertainties of the supply chain system,the fuzzy multi-attribution group decision-making model is introduced to solve the involved problem of synergic knowledge innovation in the supply chain.After elaborating on steps of using the fuzzy multiple attribute decision-making(MADM)model,the procedure of decision making for synergic knowledge innovation in the supply chain is explained from an example in the application of a fuzzy MADM model.The fuzzy MADM model,which amalgamates intuition and resolution decision-making can effectively improve the rationality of decision-making for synergic knowledge innovation in the supply chain.

Research on the Mechanism and the Model of Knowledge Innovation

This paper reviewed the theories about knowledge innovation and proposed the characteristics of knowledge propagating in knowledge innovation. Furthermore, this study adopted the bionics principle and discussed knowledge-fermenting model of knowledge innovation, which is used for uncovering the core course of organizational learning and knowledge innovation and guiding the practice of organizational knowledge innovation. The contribution of this paper is to reveal the mechanism of knowledge innovation.

Knowledge Management and Innovation

The 21 st century is an era of knowledge, know le dge is said to be particularly important. Knowledge and information have become the economy’s primary raw material and its most important outcome. Under increas ingly competitive pressure, many enterprises are examining how they can better m anage their knowledge. During the last years, another concept has gained increas ing interest: knowledge management. The emerging field of knowledge management a ddresses the broad processes of locating, organizing, transferring and more effi ciently using knowledge and expertise within an enterprise. An enterprise’s and its employees’ knowledge is regarded as the most important corporate capital in the arising global information society. Knowledge management therefore aims towa rds improving an enterprise’s ability to acquire, develop, preserve, distribute and use knowledge. This paper describes a conceptual model of knowledge manageme nt and innovation, focusing on analyzing the knowledge management and innovation process, trying to make knowledge more productive and create knowledge more eff iciently. In this paper, an integral and conceptual model of knowledge management and inno vation is presented first; then, the knowledge work process is analyzed, which i s conceptualized as a knowledge spiral; subsequently, knowledge management proce ss is conceptualized into knowledge development, knowledge acquisition, knowledg e transfer, knowledge sharing, knowledge utilization and knowledge evaluatio n, all of which can be conceptualized as a knowledge cycle; furthermore, the fac ilitating conditions for implementing knowledge management are analyzed; in the end, the input-output model of knowledge innovation is given as well as the mai n tools for assisting knowledge management are summarized.

NATIONAL KNOWLEDGE INNOVATION SYSTEMS: EVOLUTION, DEFINITION AND INDICATORS

The paper examines the three stages of the evolution of national innovation systems: national technology innovation systems, national innovation systems and national knowledge innovation systems. A national knowledge innovation system is a network of institutions and organizations which jointly or individually contributes to the knowledge innovation (including scientific and technical knowledge innovation). The author stresses that knowledge innovation will occur in all processes of the produc-tion, transmission and use of knowledge. There are four subsystems in this system: scientific knowledge innovation, technical knowledge innovation, knowledge trans-mission and knowledge use subsystem. The author also lists some indicators for the System.

Analysis of Spillover Effect in Cooperative Knowledge Innovation

The paper supposes knowledge innovation as process innovation, revises AJ model and makes Oligopolistic Markets Model of two stages. It compares profit and social welfare between firms in the condition of cooperation and non-cooperation. It draws the conclusion that cooperative knowledge innovation can get much more benefit because of spillover effect of knowledge.

Empirical Research on the Influence of Marine High-end Human Resources on Marine Knowledge Innovation——With Organizational Incentive and Technological Innovation as Mediating Variable

The main purpose of this paper is to explore the intermediary role of policy incentives and marine technological innovation in marine high-end human capital promoting marine knowledge innovation.Previous studies on the impact of marine high-end human capital on marine knowledge innovation mainly focused on the direct impact of marine high-end human capital on marine knowledge innovation,while ignoring the role of intermediary variables.Based on 512 sample survey data from 138 organizations in 16 coastal cities of China,this paper uses structural equation model to examine the relationship between high-end human capital and policy incentives,technological innovation and marine knowledge innovation.The research shows that marine high-end human capital has an impact on marine knowledge innovation through policy incentives and marine technology innovation.Policy incentives and marine technology innovation play a full intermediary role in the relationship between marine high-end human capital and marine knowledge innovation.

The Technical Innovation Mode of the Knowledge Enterprises and the Government Substitute——The Management Innovation of the Chinese Knowledge Enterprises

The Chinese economists believe that the government substitute has the positive external effect on the management of the knowledge enterprises. The mix innovation mode of the government substitute will improve the efficiency of the technical innovation mode of the knowledge enterprises. The knowledge enterprises of the developing country can use the mix innovation mode of the government substitute for reference.

PILOT PROGRAM OF KNOWLEDGE INNOVATION AT INSTITUTE OF THEORETICAL PHYSICS

Ⅰ. REVIEW The Institute of Theoretical Physics (ITP) of the CAS was founded in 1978 with the personal approval of Comrade Deng Xiaoping, in the same year when the Third Plenary Session of the Central Committee of the CPC (Communist Party of China) was convened. Over the past 20 years, the Institute has been striving to explore a road for sound development in a bid to achieve the following targets: In regard to research, the institute strives

Knowledge Innovation Program Achieves Much

The multi-billion-yuan Knowledge InnovationProgram (KIP) introduced by the Chinese Academyof Sciences (CAS), the first of its kind in China, hasbeen of considerable interest to both the scienhficcommunity and the general public since it wasratified by the central authorities in 1998. So how,then, is CAS getting on with the program? A recentreport assures that the KIP has scored encouragingachievements.

FIRST 12 PILOT PROJECTS OF KNOWLEDGE INNOVATION PROGRAM INAUGURATED

After more than half a year of preparatory work, the CAS announced its initiation of 12 pilot projects on October 14, 1998 as the first step for starting the National Program of Knowledge Innovation (NPKI).

Human Resources: Key to the Success of Knowledge Innovation

The Chinese Academy of Sci-ences (CAS) considers buildingteams of talent as a crucial compo-nent of the knowledge innovationprogram (KlP), and the innovationof concepts, systems and methodsin personnel management as the corecontent of innovation in the overallstructure. Building teams of top-

On Developing a Vigorous Cultural Environment for Knowledge Innovation

The development of an innova-tion-oriented culture is one of thefive objectives set by the ChineseAcademy of Sciences (CAS) for itsKnowledge Innovation Program(KIP). It falls in line with the call

A SPEECH AT THE CAS CONFERENCE FOR IMPLEMENTING THE KNOWLEDGE INNOVATION PROGRAM

On June 6, the State S&T leading group convened its first conference and ratified in principle the "Briefing Outlines for Carrying through a Pilot Project for the National Program of Knowledge Innovation (NPKI) in the CAS System" submitted by the Academy. The following is my initial understanding and inspirations drawn from the

A SCIENTIFIC SYSTEM DEVOTED TO KNOWLEDGE INNOVATION

The Xiangshan Science Conference is an interdisciplinary, comprehensive and small-scale forum with a higher knowledge-level, which has offered a broad and relaxed environment of academic exchange and free discussion for scientists, and probed into scientific frontiers and the future in the form of comment and reports on special topics and deep discussions. The aim of the conference is

AN OUTLINE FOR CAS PILOT PROJECT OF KNOWLEDGE INNOVATION PROGRAM

Knowledge innovation and high-tech industrialization are focuses of competition among countries all over the world today. Yet, the innovation capacity of China is not compatible with her economic growth, leaving a big gap when compared with domestic demand and world standards.

Acquire A Full Understanding of the Guidelines for Running CAS in the New Era and Promote the Knowledge Innovation Program in An All-round Way

Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conference of CAS. The report appears in two installments in this and the 1st issue of this volume.

Acquire a Full Understanding of the Guidelines for Running CAS in the New Era and Promote the Knowledge Innovation Program in an All-round Way

Editor's note: We are sorry that because of the over-crowded space in our last issue, we are delayed in presenting the second part of the report delivered by the CAS President Lu Yongxiang at the 2002 working conference of CAS. The report appears in two installments in this and the 1st issue of this volume. ……

A NATIONAL SYSTEM OF INNOVATION TO BE BUILT FOR WELCOMING THE ERA OF KNOWLEDGE ECONOMY

Editor’s note: Not long ago, CAS headquarters put forward a proposal entitled "A national innovation system (NIS) to be built up towards the era of knowledge economy (KE)" in a bid to plot a chart for China’s development in the next century. The suggestion was highly valued by the CPC Central Committee and here we publish an extracted translation of its full text.

Transforming Chinese Government＇s Functions Based on Knowledge Economy

Based on the nature of Knowledge Economy, this paper discusses the necessity and urgency for Chinese government to adjust its functions in the new economy; presents some concrete strategies of taking good chances and meeting the challenges of Knowledge Economy, including creating and protecting intellectual property rights, enhancing knowledge management, solving the problem of fairness and efficiency, breaking down local protectionism and building national innovation system.