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The purpose of this paper is to evaluate the global progress and explore research areas and development trends of open government data (OGD) field from the Web of Science (WOS) database by applying the bibliometric visualization approach.

This paper conducted a bibliometric mapping study on OGD scientific research publications based on WOS from six aspects.

There are six research perspectives on OGD research. European countries and developed countries pay more attention to OGD movement. The 20 most cited and highly influential research documents were identified. What’s more, the analysis of journals level highlights the interdisciplinary and cross-disciplinary characteristics of OGD research. Current six research topics for OGD research that have been formed and two major emerging research priorities in OGD research fields were identified.

The limitation is that data retrieval result which decided to include only 180 publications in the WOS-indexed publications produced a bias against research publications published in non-WOS publication sources. A fuller research trend would be obtained with the more extensively used electronic databases.

By dint of bibliometric analysis, this paper may be able to quantify research patterns on OGD, to analyze what has been done in this field and to identify the main research hotspots. Therefore, it can aid academic researchers and practicing professionals in contributing to the field more effectively and advancing scientific progress in the field of OGD research.

The results can also promote the study on OGD movement in academia, government and industry and also enrich the theory of OGD and provide some new perspectives for research on OGD.

This is the first study to quantify and evaluate global research patterns and development trends in OGD research based on WOS database, which provides a quantitative perspective on OGD studies that may assist in advancing the development of the field.

The purpose of this paper (bibliometric analysis) is to analyse the global scientific outputs, research patterns, research emphases and trends of law and psychiatry (L&P) research during 1993-2012 from the Web of Science (WOS) database. Besides, the paper also offers an overview to deepen intercultural understanding and cooperation in the field among professionals concerned with the interface of this research field and related disciplines.

This paper conducted a bibliometric study of the characteristics and patterns of publication outputs, major journals, network of co-occurrence of authors, international productivity and collaboration.

International Journal of Law and Psychiatry, Journal of the American Academy of Psychiatry and the Law and Psychiatry, Psychology and Law were the representative journals in the field of L&P research. The results from the analysis of co-occurrence of authors suggest that the L&P co-authorship network analysis is relatively fragmented. In addition, the most productive institution was the University of California System, which published the most inter-institutional collaborative publications and was the top institution by centrality measures. The Harvard University published the most single-institute publications. The most productive country was the USA, which was the top country by centrality measures. The USA was the most collaborative country and took the central position in the collaborative network.

This is the first study to quantify and evaluate global research productivity in L&P viewed through the WOS during 1993-2012, which might provide a potential guide for future research among professionals concerned with the interface of L&P, as it is a very constructive contribution to the area.

The purpose of the present study is to analyze highly cited articles and global research emphases and trends of law and psychiatry (L&P) research during the period of 1993 to 2012 from the Web of Science (WOS) database. Besides the analysis of highly cited articles to learn about the classic articles and intellectual base of the L&P research domain, an attempt is made to detect research emphases and trends of the study field.

The present study applies quantitative analyses of citations of scientific publications to find highly cited articles and summarizes research hotspots and trends on L&P research articles from WOS during 1993-2012 using statistical analysis of words in titles, KeyWords Plus, author keywords and co-keywords.

The top 21 highly cited articles of research on L&P were found; most of the highly cited papers used survey research to measure patterns of violence of psychiatric patients. This present study identified forensic psychiatry, mental health and criminal offenders were the continuing mainstream topics in the L&P field and risk assessment, risk factors and risk management of violent behavior, legislation for sexual offences, mental health courts, recidivism and expert testimony were recent research emphases and trends of the study field. On the contrary, psychiatric hospitalization, psychiatrist-patient, community and services were not mainstream topics in the study field and were of decreasing importance and popularity in L&P research. Additionally, the topics of violent behavior and risk assessment have developed to a significant subgroup of L&P research. Finally, research emphases and trends in the L&P field were found based on the co-keywords cluster map and density map.

This is the first study to quantify and detect research emphases and trends in L&P from the WOS during 1993-2012, which may provide the groundwork for future studies of the L&P research domain, and offer some important suggestions and implications for professional researchers, specialists, publications’ editors and public policy makers concerned with the domain.

The purpose of this paper is to elucidate how the advice-giving affects innovative capability by involving knowledge exchange and combination as a mediator and contextual ambidexterity as an important contingency.

Based on a survey of 96 Chinese teams, a set of hypotheses was tested using regression analyzes.

The findings showed that contextual ambidexterity moderates the indirect effect of advice-giving on innovative capability through knowledge exchange and combination. When contextual ambidexterity is high, workers engage in more knowledge exchange and combination for the team at intermediate levels of advice-giving, the indirect effect of advice-giving at low levels and at high levels exist. When contextual ambidexterity is low, there is no indirect effect of advice-giving at any level.

Managers should be aware of the inverted U-shaped relationship between advice-giving and innovative capability and strengthen the construction of contextual ambidexterity.

This paper makes up for the theoretical gap between advice-giving and innovative capability. Furthermore, it provides a theoretical reference for practitioners to improve their innovative capability.

The purpose of this paper is to present a bibliometric analysis of scientific output of the knowledge management (KM), the aim being to offer an overview of research activity in this field and characterize its most significant aspects. In addition, this study aims to quantitatively analyze KM research trends, forecasts, and citations from 1993 to 2012 in Web of Science (WOS).

A total of 12,925 documents related to KM research were collected from following databases: Science Citation Index Expanded, Social Sciences Citation Index, Arts & Humanities Citation Index, Conference Proceedings Citation Index-Science, and Conference Proceedings Citation Index-Social Science & Humanities. These documents were carefully reviewed and subjected to bibliometric data analysis techniques.

A number of research questions pertaining to patterns in scientific outputs, subject categories and major journals, author keywords frequencies, characteristics of the international collaboration, most cited papers and significant papers distribution of KM research were proposed and answered. In addition, there are five research sights on KM research are as follows: management science, computer science, information science, business, and engineering. Based on these findings, many implications emerged that improve one's understanding of the identity of KM as a distinct multi-discipline scientific field.

Comprehensiveness and inclusiveness of the analyzed KM-related data set in WOS because of some KM-centric journals are not indexed by Thomson Reuters.

The paper offers an overview and evaluation of research activity into the KM viewed through the WOS during 1993-2012.

This article aims to investigate the differences and similarities among cross-cultural, values and ethics between the USA and Asian countries. This article analyzes the degree of cultural distance between USA and Asian countries and the impact it has in companies. It examines the comparison between the USA and China’s value system. It also assesses how idealism and relativism impact individual ethical decision-making. In addition, this article examines the impact that globalization, foreign direct investment (FDI) and trade have in the Chinese culture and other countries.

The data for this research paper were collected from the following models: Ethics Position Questionnaire of Forsyth, Rokeach Values Survey, Hofstede model, GLOBE model and Wilcoxon test. The main sources used for this research were the Journal of Technology Management in China and the EBSCO database.

The research found that Western cultures tend to be more individualistic, while Asian countries tend to be very collective. This study also found that the type of value system that each culture holds depends on the type of government. This research also found that researchers have discovered that American managers are more loyal to their ethical beliefs, rather than to their superior’s or company’s ethical beliefs. While eastern Asian cultures focus more on the importance of acting in the best interests of the company’s superior. The study also found that it is extremely important for foreigners to build a relationship with Chinese business professionals before they do business negotiations. In addition, the study found that globalization, FDI and trade do make a significant cultural difference in some cultural dimensions.

It contributes to the literature by analyzing the different measurements in value, ethics and cultural differentiation. This research wants to demonstrate the importance of cultural differences, ethics and values across different countries and cultures. It also provides factual evidence that it’s important to understand these differences to be a successful global manager. In addition, it contributes to this literature by analyzing the effect that globalization, FDI and trade have in national cultures.

This paper aims to explore true technical efficiency in order to select the most competitive manufacturing industries in China. And the paper intends to discuss how environmental variables measured by energy consumption affect performance in different industrial sectors under the restriction of low-carbon economy.

In order to measure the calculated efficiency of industrial sectors more accurately, Three-stage DEA model is presented in the empirical analysis using data from 2007 to 2010 covering 29 manufacturing industries in China. The advantage of using this method is enabling us to separate the managerial factor from external environmental factors and random errors factors on the technical efficiency.

The results using this Three-stage DEA model show that textile manufacturing sector has the highest technical efficiency, and when environment variables are not considered, efficiencies in machinery and electronics manufacturing industries have a significant increase. Moreover, this empirical model enables us to evaluate the technical performance in various manufacturing sectors more accurately.

This study provides a useful efficiency measurement tool (Three-stage DEA model) to calculate technical efficiency among different industrial sectors. Technical efficiency plays a key role in building the competitiveness of manufacturing industry. Based on the objective efficiency evaluation, the paper can make a better selection of the most competitive industries.

The paper contributes to the existing literature by developing a Three-stage DEA to examine the technical efficiency and competitive power of manufacturing sectors in China. This study has great policy implications for the research of China's manufacturing in both ideas and methodology.

Housing prices in China have increased rapidly over the past decade. Motivated by the fact that the real estate market and bank credit scale are vastly different in Chinese cities, the purpose of this paper is to compare the impact of bank credit on house prices in first- and second-tier cities in China.

In this study, a panel data method was used to investigate 19 first-tier cities and 30 second-tier cities between the period 2003 and 2018.

The empirical analysis undertaken in this study found that bank credit was relevant to house prices but varied in different cities in which house prices in second-tier cities tended to be more affected by bank credit compared to those in first-tier cities. In contrast, population was found to be a dominant factor that influenced house prices in first-tier cities. Likewise, the factors, per capita and gross domestic product, were found to exert a significant influence on house prices in first- and second-tier cities.

This paper provided numerous policies to control the price of housing in first- and second-tier cities.

The housing prices, bank credit scale and population distribution are vastly different in different cities in China. This research considers these differences while examining the dominant factors that affect house prices in first- and second-tier cities in China.

This paper mainly explores the relationship between digital inclusive finance and financing constraints of technological-based SMEs, and how digital inclusive finance affects the financing constraints of technology-based SMEs. This paper empirically analyzes the relationship between them through the OLS model, and then further verifies the relationship between them through robust regression and heterogeneity analysis. At the same time, it uses the mechanism test to explore how digital inclusive finance affects the financing constraints of technology-based SMEs. This paper aims to address these issues.

This paper aims to explain the relationship between digital inclusive finance and financing constraints of technological-based SMEs. Technology-based SMEs always face the difficult problem of “financing difficulty” and “financing expensive” in the development process, which hinders the survival and development of enterprises to some extent. Digital inclusive finance development policy vigorously promoted by the state has alleviated the financing constraints of technology-based SMEs and brought opportunities for their development.

The results show that the role of digital inclusive finance in alleviating the financing constraints of technology-based SMEs, and incremental supplement and alleviating information asymmetry are the main reasons for digital inclusive finance to alleviate the financing constraints of technology-based SMEs. In view of the availability of digital inclusive financial data, this paper only uses the data from 2014 to 2019.

The authors’ research clearly found that the development of digital inclusive finance alleviates the financing of technology-based SMEs from the two aspects of “incremental supplement” and alleviating information asymmetry, so as to provide corresponding reference basis for the government to formulate a series of plans to support the development of technology-based SMEs.

The purpose of this paper is to explore Taiwan’s regional energy efficiency trend and complement the work of the total-factor energy efficiency (TFEE) index proposed by Hu and Wang (2006). It further extends panel data stochastic frontier analysis (SFA) modeling for estimating disaggregate energy efficiency.

This paper applies the panel data stochastic production frontier to estimate the TFEE scores for 20 administrative regions in Taiwan over the period 2004-2015. The SFA models include five inputs (employed population, amount of productive electricity power consumed, amount of electricity consumed for household and non-household electric lighting, amount of gasoline sales, and amount of diesel sales) and one output (total real income in the base year of 2011).

This research concludes with three main findings: the inefficient administrative regions of Taiwan include mostly large industrial parks and the petrochemical industry cluster; the top five administrative regions with inefficient diesel use are mostly metropolitan areas that the concern of air pollution caused by diesel system arouses the awareness to use less diesel fuel; and the average TFEE score on household and non-household electric lighting is higher than the usage efficiency of productive electricity power, gasoline, and diesel, but there is still room for efficiency improvement.

Most administrative regions in Taiwan are not efficient in almost all kinds of energy use. The results show that the efficiencies of using productive electricity power, gasoline, and diesel need to be improved a lot more.