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In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

The purpose of this paper is to approach the issue of how organizational innovation can be accelerated with the support of leadership structures and the organizational climate, specifically taking into account the top innovative universities of the world, which has not been found in previous empirical studies.

A survey, based on a deductive approach, is adopted since the questionnaire for organizational innovation is designed for organizations in order to measure organizational innovation, widely used by experienced employees from senior managers to all kind of employees (Caird et al., 2013) facilitating the European Commission work, whereas for transformational leadership, a Multifactor Leadership Questionnaire (Bass and Avolio, 1994) is utilized. A complete online questionnaire was developed for collecting data, and the PLS-SEM statistical technique is used for analysis and results.

Top innovative universities of the world mostly have a transformational leadership style directly triggering organizational innovation which is consistent with the previous studies, while transactional leadership is having a positive relationship with organizational culture and innovation, but the results were statistically insignificant.

Based on this research and other previous studies, it is suggested that universities across the world ought to imply transformational leadership traits and style which have fostered organizational innovation in the top-ranked innovative universities in developed nations, whereas more factors needed to be studied so that comprehensive guidelines should be provided to universities and research institutes where innovation is stagnant and passive.

The finding has practical implications, suggesting that universities and research institutes should draft and implement guidelines where leaders with certain traits and norms can play a role to nourish an environment where stakeholders think outside the box, with learning and knowledge creation, and proactive contribution beyond responsibilities, obligations, and compulsion.

This study has suggested that less innovative universities should draft and design leadership and cultural enriching plans so that society, organizations, and commercial firms could foster innovation, ultimately benefiting general public and society.

Very few of the scholars have investigated from the perspective of innovative universities, where knowledge is created and flows into organizations, either governmental or private, and society in general. As a result, this study aims to investigate how leadership has impacted the culture of knowledge creation and innovativeness in the top 100 innovative universities. So, this is among rare studies where universities are suggested to adopt innovation supporting culture and leadership.

China has been putting into effect a program of “national innovation platforms (NIPs)” since 2008. Because it is still at an experimental stage, some key issues remain ambiguous. The purpose of this paper is to conduct a theoretical exploration and empirical study on the NIP program to present the theoretical foundation and draw out implications for its future practice.

Based on the literature review of national innovation system (NIS) approach, this paper develops an analytical framework for analyzing the mechanism of NIP. Then an in‐depth case study further validates the framework.

NIP is a practice under the guidance of NIS approach. It effectively accomplishes interaction and cooperation between different actors and encourages flow of innovation resources. Based on NIP of textile industry, managerial and operational implications are drawn out.

Investigation of this paper is limited to a single industry. The result of the NIP program remains to be seen in the future.

The theoretical study about NIP practice in China is original. The framework derived from NIS theory helps theoretical development in future research and guides future practice.

Existing work documents the role that institutional setting plays in the process of spin-off creation. However, despite decades of studies, scholars have not clearly explained why some regions are more involved in spin-off activity than others. Drawing from institutional theory, the purpose of this paper is to compare different institutional settings identifying factors affecting the general environment capability to support spin-off activity of a specific region.

The authors utilize a cross-national analysis of American, Asian, and European areas identifying factors affecting their different rate of spin-off activity. This study contributes to the policy debate concerning entrepreneurship and how best to spur spin-off activities.

In this paper, the authors identify the general and specific factors that explain the cross-national diversity in spin-off creation. The authors then perform an analysis of the impact of these factors in various regions of the USA, Asia, and Europe, providing evidence for the necessity of specific combinations of these factors.

The paper offers a new perspective on the causes of spin-offs through a cross-national analysis of many areas around the world.

The purpose of this paper is to understand how and why small to medium enterprises (SMEs) access knowledge from external actors in general and from higher education institutions (HEIs) in particular and what is the extent to which these knowledge access pathways affect SME innovativeness.

The paper involved both quantitative and qualitative approaches: a survey of 1,226 SMEs and a mini case study to follow-up on issues arising from the survey analysis. Survey data were analysed using both non-parametric and multivariate Poisson regression analysis. The case study was based on a medium-sized manufacturing firm in South Australia.

While there are significant differences between the micro-, small- and medium-sized enterprises, the evidence suggests that SMEs generally use “generic” university–industry knowledge transfer pathways (e.g. published research results) rather than university–industry links with high “relational” involvement. More significantly, the results indicate that SMEs are more likely to rely on organisations other than universities and related R&D enterprises for knowledge acquisition like clients/customers or suppliers. While collaboration is most likely to occur within the same state/territory, or Australia, many SMEs also collaborate internationally, usually as part of normal supplier–customer relationships, reinforcing knowledge acquisition from organisationally proximate partners. These findings are also supported by the case study.

This research was limited to surveying SMEs in one geographic (metropolitan) region in Australia. It also does not account for the different patterns of HEI–SME interactions in different industry sectors. There is also only one case study.

First, the research adds to the few field studies that have investigated accessing knowledge for innovation among SMEs. Specifically, the research contributes to an understanding of the heterogeneous roles that different actors play in facilitating knowledge access for improving innovative SMEs outcomes. Second, the research does not treat all SMEs similarly in terms of size effects but instead accounts for differing SME sizes and how this affects their selection of knowledge access pathways. Third, the research contributes to a small number of studies that attempt to understand how HEIs and SMEs can work better together in the context of a regional innovation system, especially one that is relatively less competitive to the larger economy.

Research models and practices change rapidly. While evidence of such changes includes cross-campus collaborations and multi-authored scholarship, faculty development opportunities also signal what is to come. In this case study, authors representing diverse disciplines examine what faculty development programs reveal about the future of academic research. The authors offer an analysis of faculty support programs across the country as a foundation, and then provide an examination of initiatives in place at their four-year regional comprehensive institution in the United States. The authors then report on the outcomes of these programs for research productivity, with a focus on opportunities that were available to all faculty across the university. Finally, the authors offer perspective on the future of academic research based on findings from examining these programs. The authors suggest that the future of research will focus on (1) collaborative design(s) of research-related support, (2) support structures and programs that encourage and facilitate cross-campus and interdisciplinary research collaborations and sharing, (3) incentive for integrating areas of research with teaching and service, and relatedly (4) programs that encourage faculty to span academic research with industry or community partnerships and collaborations, especially ones that can generate revenue or produce future research, development, or funding streams.

The purpose of this paper is to explore the status of university accelerators (UAs) in Australia, expanding a similar paper on related entrepreneurship education (EE) in 2019. The aim is to review neoteric global best practice UA, aligning context and specific inference to the impact of UAs in Australia.

The authors introduce an iterative and emergent inquiry into multi-method research, including a quantitative examination of Australian UAs, Leximancer algorithmic analyses of entrepreneurial strategic intent and narratives from best practice applications.

The paper highlights the sparse and inconsistent distribution across UAs in Australia, further characterized by significant symbolic motives of operation. Furthermore, the integration of EE evidenced on global UA is not as evident in Australia, highlighting outcomes more specific to the success of nascent (student) startups as opposed to educational outcomes.

Limitations include the availability and accuracy of online documents and data, although implications have been mitigated using multi-method research design.

Despite the provision of critical grounding for practitioners and researchers in developing UAs, further research is recommended regarding the efficacy and impact of these accelerators.

This study is the first multi-methods emergent inquiry into UAs in Australia, coupled with integration of EE. The authors provide guidelines and inferences for researchers, educators, policymakers and practitioners alike as they seek to explore and act upon the impact of UAs.

This study examines the perception and attitudes of academicians regarding factors that influence the commercialization of university research.

The data sample was drawn using a proportionate stratified sampling approach. A self-administered survey was used to obtain data regarding the perception of academicians on the factors that contribute to research commercialization. A total of 131 academicians completed the survey. Multiple regression analysis was used to test the hypotheses.

The results showed that two factors are significant and positively related with commercialization: the academician's behaviour and University-Industry collaboration. Surprisingly, the factors of innovativeness and Intellectual Property management did not have a significant relationship with commercialization.

For future work, researchers should conduct in-depth interviews with the executive management at research universities and at the Ministry of Education Malaysia to complement our quantitative survey. These decision-makers act as funding sources for commercialization and can provide richer evidence regarding important factors affecting commercialization. They can also provide insight on the issues that prevent the commercialization of research from becoming a reality.

Commercialization of Malaysia's university research findings is a critical agenda item in the National Higher Education Strategic Plan. However, in Malaysia, the rate of commercialization of academic research is still unsatisfactory. This study provides important insights regarding intentions behind commercialization by depicting how factors of academic research (i.e. academician's behaviour, innovativeness, Intellectual Properties management, University-Industry collaboration) influence commercialization.

The focus of industrial cluster innovation lies in the cooperation between enterprises and universities/scientific research institutes to make a theoretical breakthrough in the system and mechanism of industrial cluster network. Under the theoretical framework of cluster network, industrial structure can be optimized and upgraded, and enterprise benefit can be improved. Facing the increasing proliferation and multi-structured enterprise data, how to obtain potential and high-quality innovation features will determine the ability of industrial cluster network innovation, as well as the paper aims to discuss these issues.

Based on complex network theory and machine learning method, this paper constructs the structure of “three-layer coupling network” (TLCN), predicts the innovation features of industrial clusters and focuses on the theoretical basis of industrial cluster network innovation model. This paper comprehensively uses intelligent information processing technologies such as network parameters and neural network to predict and analyze the industrial cluster data.

From the analysis of the experimental results, the authors obtain five innovative features (policy strength, cooperation, research and development investment, centrality and geographical position) that help to improve the ability of industrial clusters, and give corresponding optimization strategy suggestions according to the result analysis.

Building a TLCN structure of industrial clusters. Exploring the innovation features of industrial clusters. Establishing the analysis paradigm of machine learning method to predict the innovation features of industrial clusters.

This paper aims to develop a framework that rationalises transport flexibility into different types. In this way the role of the flexibility types in delivering specific strategic logistics outcomes can be determined.

The authors undertake a synthesis of available literature related to flexibility to determine what types of transport flexibility are required and when.

Twelve definitions and key components of transport flexibility are identified. These signify a proactive approach to the consideration of the subject within the context of a collaborative approach to relationships between carrier, supplier and customer.

This is a conceptual study developing definitions and models for transport flexibility. While these frameworks have been formed within the context of the literature, further research to determine the application of the model will need to be undertaken, to examine the benefits and costs associated with various degrees of flexibility.

While the definitions and models are conceptual, they are important as generic templates by which carriers may develop a logistics strategy, determining their competitive offering and hence defining their flexibility capabilities. They may then determine the degree of collaboration necessary. The results of this paper also inform further empirical research into the area of transport and logistics flexibility.

There is little research that addresses the issue of transport flexibility from a logistics perspective. Thus, there is originality in developing a framework that rationalises transport flexibility into different types. This will provide a foundation by which carriers and shippers may develop collaborative and information technology strategies.