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The purpose of this paper is to analyze the evolution of Chinese technology policy, assess its technological and economic performance from the visual angle of “market in exchange for technology” strategy.

A quantified method based on policy contents from policy power, policy goals and policy means was developed to build a policy database, and analyze the evolutionary tendency of Chinese technology policy. In addition, econometric models were built to assess the performance of technology policy.

The critical goals of Chinese technology policy are introducing technology directly or indirectly by introducing foreign investment and innovation, but the critical linkage between introduction and innovation‐technology absorption was absent – almost all policy means aim at the introduction of foreign investment and innovation but not technology absorption. More unfortunately, the econometric results show that introduction of foreign investment contributes little, while technology absorption contributes much more. Institutional path‐dependence and the competition for benefits among different departments have aggravated an already unbalanced emphasis on technology policies during the reform.

During the quantification of technology policy, one perhaps loses some information about policy, and it can only be used to analyze the technology policy system, not special technology policy.

Analyses of the evolution of Chinese technology policy and econometric results show the blunder of “market in exchange for technology” strategy from policy formulation and execution. Also, it leads to the optimization of technology policy from policy targets, implements based on national technology and innovation strategy.

The paper develops the method of technology policy quantification and builds econometric models to assess the contribution of technology policy to technology progress and economy development.

The purpose of this paper is to prove that the technology that customers accept is sometimes not the most advanced, but backward, and to explain why different technologies could coexist under certain market situations and government regulations.

A general model was developed to analyze choice of technology regime under evolution of market demand and government regulation led by evolutionary economics.

Market demands and government regulations can affect the change of technology regime deeply, regardless of the level of certain technology. With the change of environment factors which affect China's mobile phones technological evolution, this paper testifies to the rationality and inevitability of PHS's market success and indicates that government regulations would impact the technological choice and lead to some technology market success, but it would lead to low efficiency of resources allocation.

The paper provides an instrument for analyzing the co‐evolution of market demand, government regulation and technology regime.

The purpose of this paper is to implement a comparative analysis on the evolution of technology policies of central and local governments in China and to uncover the relationship of technology policies.

A quantitative method based on policy contents from policy power, policy goals and policy instruments was developed to build a policy database and, taking Jiangsu province's policy practice as an example, was used to comparatively analyze the evolutionary process and the relationship of technology policies issued by central and local governments in China.

Comparative analysis shows that technology policies of central government are focused on the strategy of “Market in Exchange for Technology”. However, technology absorption as the critical part to realize the strategy was neglected due to the competition of interests among different agents. Local government has gradually developed a different technology development strategy to promote independent innovation on the basis of its better economic and science and technology conditions. So, the correlation coefficients of technology policies between central and local (Jiangsu) governments on policy power, policy instruments and policy goals have decreased continually.

Because of the limitation of data and time, this paper adopted quantification criteria on the contents of policies. Also, it is necessary to explore the coordination of technology policies between central and local governments.

Chinese technology policies should balance administrative rights reasonably between central and local governments and promote the coordination among the central authority, ministries, commissions, local governments and enterprises.

This paper has made a novel quantitative and comparative analysis about the relationship of technology policies between central and local (Jiangsu) governments.

The purpose of this paper is to analyze the coordination of Chinese technology policy and assess its contribution to technology progress and economy development.

A method was developed to assess the coordination and its tendency of technology policy based on technology policy quantification. In addition, econometric models were built to estimate performance of technology policy coordination.

Chinese technology policy coordination shows significant characteristics in different periods; the level of policy coordination is promoted rapidly because the institutional path‐dependence and the competition of benefits among departments have aggravated an already unbalanced emphasis on the wording of the technology policy during the process of economic and political reform. The coordination among departments, coordination of policy goals and coordination of policy means play different roles in technology progress and economy development.

Because of the limitation of data and time, the paper cannot assess the coordination among policy goals and policy means. Also, it is necessary to study the interaction of different principals and agencies during technology policy formulation and execution.

The methods in the paper can easily be used by decision makers evaluating the situation of technology policy coordination, and optimize policy based on the relationship of different policy targets and policy implements, especially the interaction of different principals and agencies.

The paper develops a method to assess technology policy coordination based on technology policy quantification and builds econometric models to assess its contribution to technology progress and economy development.

The purpose of this paper is to analyze the detailed content and research framework of a knowledge management audit, from the view of operation flow based on a cognition summary of knowledge management audit proposed by many scholars and organizations, in order to put forward some references for effective implementation of an organization knowledge management project.

The paper carries out a multi‐perspective analysis of the cognition of knowledge management audit summarizes the similarities and differences between the different viewpoints, also a contrasting analysis on the method proposed by various scholars and organizations from the point of view of flow, and then constructs the conceptive framework of knowledge management audit.

Knowledge management audit is the first important step in a knowledge management project and includes four phases: preparation, analysis, implementation, and summary. Its primary content involves knowledge management environment audit, knowledge property audit, knowledge management ability audit and knowledge management performance audit, and its main modules consist of knowledge demand analysis, knowledge inventory analysis, knowledge map and knowledge flow analysis.

The paper provides a theoretical construction, but has not conducted a case study. In future research development, the framework of the paper will be improved through the case analysis of organization knowledge management practice.

By utilizing the research framework and method of the paper, an organization may understand rapidly the basic content of a knowledge management audit, implement an effective knowledge management audit to help improve organization (including non‐profit organization) performance and implement a knowledge management strategy.

The paper provides a framework for implementing a knowledge management audit.

This paper aims to examine and analyze the effects of government policy, quality of human resources and professional institutions on workforce competitiveness using welding technology variable as a mediating variable.

This study used quantitative research by using partial least square – structural equation modeling (PLS-SEM) to analyze the collected data.

Based on the results of the analysis, it was noted that there was a significant influence between government policy, quality of human resources and professional institutions on welding technology. The coefficients are characterized by a positive direct relationship, which means that the higher the quality of government policy and human resources professionals variables, the higher the value of the institute of welding technology.

This study recommends that government should create policies that have benefits to competitiveness of Indonesian workforce. Implications from this study support government to use the model to determine and initiate policies in the field of welding as well as establish clear and standardized operating standards and recruitment process (government apparatus) that can accommodate the competitiveness of welding workers in Indonesia.

The originality of this paper is that the participatory approach was adopted in this study using PLS-SEM. In addition, this study was one of the first studies to carry out research at the BNSP office, BLK-Bandung-Jakarta, Makassar, B4T and dismiss the Ministry of Manpower and the Ministry of Industry in Jakarta, Indonesia, where there was no research in this location. Previous studies conducted research in various case studies.

The purpose of this paper is to describe a new satellite mission scheduling (SMS) problem based on an genetic algorithm (GA).

The SMS involves scheduling tasks to be performed by a satellite, where new task requests can arrive non‐deterministically (i.e. at any time) and must be scheduled in real‐time. This paper investigates algorithmic approaches for determining an optimal or near‐optimal sequence of tasks, allocated to a satellite payload over time, with dynamic tasking considerations.

Simulation results show that the proposed approach is effective and efficient when utilized in actual cases.

This paper shows how to adopt the GA search approach to generate an SMS within allowable computation time.