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Collaboration with universities is an important innovation strategy for enterprises. However, currently very little research has focused on how such university-industry collaborative innovation activities should be managed. The paper aims to discuss this issue.

This paper introduces the university-industry collaborative innovation practices of Zhejiang NHU Company in China. By using a case study as the method, this paper aims to illustrate the mechanism of university-industry collaborative innovation and how to manage the collaborative innovation activities efficiently.

Zhejiang NHU Company established a university-industry collaborative innovation link through three innovation platforms: the technology R&D center, the ZJU-NHU joint-research center, and the national engineer center. Zhejiang NHU Company manages its collaborative relationships with universities through this innovation network.

NHU Company managed the collaborative relationship efficiently with the institutions, representing an effective degree of university-industry collaborative innovation management.

Drawing on expectancy value theory (EVT), this paper examines knowledge exchange between expatriate and host country national (HCN) dyads to understand whether receivers' perceptions about senders' motivation to transfer knowledge and perceived value of the knowledge jointly affect receivers' motivation to learn and, in turn, facilitate their knowledge acquisition and sharing.

Latent moderated structural (LMS) equations were used to analyze data from 107 expatriate–HCN dyads working in the Asia Pacific region.

In general, whether senders are expatriates or HCNs, only when receivers perceive that (1) knowledge to be transferred is valuable and (2) senders are motivated to transfer, receivers are likely to be motivated to receive knowledge transferred from senders and, in turn, acquire and share knowledge with senders.

This study is one of the first in the expatriate and knowledge transfer literature to address the mixed findings between senders' motivation to transfer and receivers' knowledge acquisition and sharing by drawing on EVT.

Innovation ecosystem is an emerging and popular concept in both academic and industrial circles. It offers a new perspective for enterprise strategy positioning. A business can create more value through a healthy innovation ecosystem. The paper aims to discuss these issues.

In this paper, the authors utilize a new triple-layer core-periphery framework to analyze Insigma Group’s multi-platform collaboration innovation ecosystem, in order to explore the architecture and heterogeneous functions inside an innovation ecosystem.

The authors illustrate the components and working mechanisms of the four platforms, which function as ideation, entrepreneurship, financing and investment, and innovation, inside Insigma’s innovation ecosystem in detail, and explain how they interact and collaborate toward a shared aim of the whole innovation ecosystem.

The innovation ecosystem is an emerging concept. In this study, the authors combined two existing analytical frameworks of innovation ecosystem, and proposed a triple-layer core-periphery framework, which enable us to analyze the heterogeneity inside an innovation ecosystem.

The authors discussed the role of government and its policies in shaping the innovation ecosystem at the enterprise level.

The authors believe that this paper provides a holistic study of Insigma’s innovation ecosystem. The triple-layer core-periphery framework can be used to study other enterprise innovation ecosystem in the future.

Integrating anxiety and uncertainty management (AUM) theory and theory of organizing, this study aims to contribute to the knowledge management literature by examining the interdependent and bidirectional nature of knowledge transfer between expatriates and host country nationals (HCNs). Specifically, the authors investigate how receivers’ cognitive response to senders’ behaviors during their interactions becomes an important conduit between senders’ behaviors and the successful transfer of knowledge.

The authors used the actor partner interdependence model to analyze data from 107 expatriate-HCN dyads. The authors collected the responses of these expatriate-HCN dyads in Shanghai, Taipei, Hong Kong, Vietnam, South Korea, Malaysia, Thailand, Indonesia and India.

Receivers’ interaction anxiety and uncertainty, as a response to senders’ relationship building behaviors, mediate the relationship between senders’ relationship building behaviors and successful knowledge transfer. When senders are expatriates, senders’ communication patience and relationship building behaviors interact to reduce the direct and indirect effects of both receivers’ interaction anxiety and uncertainty. However, when senders are HCNs, the moderation and moderated mediation models are not supported.

The study contributes to the knowledge management literature by investigating knowledge transfer between expatriates and HCNs using an interpersonal cross-cultural communication lens. The authors make refinements to AUM theory by going beyond the sender role to highlighting the interdependence between senders and receivers in the management of anxiety and uncertainty which, in turn, influences the effectiveness of cross-cultural communication. The study is also unique in that the authors underscore an important yet understudied construct, communication patience, in the successful transfer of knowledge.

The authors aim to apply an “interpretive context – organizational action – outcome” framework to explore the positive effect of green organizational identity on green innovation performance. Besides, they would like to verify that both environmental commitment and environmental organizational legitimacy mediate between green organizational identity and green innovation performance.

The authors utilize a hybrid research method that includes both questionnaire data and public data to test the hypotheses to satisfy the triangulation in methodology. In addition, structural equation modeling (SEM) is used to perform the empirical research.

The results show that green organizational identity would positively affect green innovation performance. Moreover, green organizational identity could positively influence green innovation performance indirectly via environmental commitment and environmental organizational legitimacy. Firms should increase their green organizational identity, environmental commitment, and environmental organizational legitimacy to enhance their green innovation performance. Furthermore, the authors find out that green organizational identity, environmental commitment, environmental organizational legitimacy, and green innovation performance of small and medium‐sized enterprises (SMEs) are lower than those of large enterprises in Taiwan.

The authors develop a research framework to explore the positive effect of green organizational identity on green innovation and explore the mediation effects of environmental commitment and environmental organizational legitimacy.

The purpose of this study is to develop an original framework to explore the influences of green perceived value and green perceived risk on green purchase intentions and to discuss the mediation role of green trust.

This study applies four original concepts – green perceived value, green perceived risk, green trust, and green purchase intentions – to develop an integral model to enhance green purchase intentions. In addition, this research employs an empirical study by means of the questionnaire survey method to verify the hypotheses and to explore its managerial implications. Structural equation modeling (SEM) is applied to verify the research framework.

The empirical results show that green perceived value would positively affect green trust and green purchase intentions, while green perceived risk would negatively influence both of them. Furthermore, this study demonstrates that the relationships between green purchase intentions and their two antecedents – green perceived value and green perceived risk – are partially mediated by green trust. Hence, investing resources to increase green perceived value and to decrease green perceived risk is helpful to enhance green trust and green purchase intentions.

This study summarizes the literature on green marketing and relationship marketing into a new managerial framework of green purchase intentions. It utilizes four novel constructs – green perceived value, green perceived risk, green trust, and green purchase intentions – to develop an original research framework to enhance green purchase intentions. Although past research has highlighted the relevant issues about purchase intentions, none explores it about green management. Therefore, this paper develops the research framework of green purchase intentions to fill the research gap.

This study aims to combine the literature on green marketing and relationship marketing into a new managerial framework of green trust. In addition, this study seeks to elaborate the relationships among green perceived quality, green perceived risk, green satisfaction, and green trust.

The research object of this paper focuses on Taiwan's consumers who have the purchase experience of information and electronics products. This study undertakes an empirical study by means of the questionnaire survey method. The questionnaires were randomly mailed to consumers who had the purchase experience of information and electronics products. Structural equation modeling (SEM) is applied to test the research framework.

The empirical results indicate that green perceived quality would positively affect green satisfaction and green trust, whereas green perceived risk would negatively influence both of them. In addition, this study points out that the relationships between green trust and its two antecedents – green perceived quality and green perceived risk – are partially mediated by green satisfaction. Hence, investing resources in the increase of green perceived quality and the decrease of green perceived risk is useful to enhance green satisfaction and green trust.

Although previous research has explored the relevant issues about trust, none highlights trust about green or environmental issues from the perspectives of perceived quality and perceived risk. This study proposes a research framework, which can help companies enhance their green trust via its three determinants: green perceived quality, green perceived risk, and green satisfaction.

This paper aims to explore factors contributing to music popularity using machine learning approaches.

A dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.

The analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.

The findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.

While previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.

The purpose of this paper is to review the latest management developments across the globe and pinpoint practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

According to legend – and to the Johnny Cash song – Ireland has 40 shades of green. According to some marketers, businesses these days have to contemplate, if not 40, at least several shades of green when they consider their own environmental responsibility and the growing perception among their customers that “green is good”. As green products are more popular in the market, green marketing has become more prevalent as a consequence.

The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to digest format.

The purpose of this paper is to use data envelopment analysis (DEA) to evaluate the efficiency of the wafer fabrication industry in Taiwan.

The input variables are total assets, operation costs, and operation expenditures, and the output variable is net sales. This study uses the Pearson correlation to indicate positively correlation between input and output variables, applies DEA to analyze the efficiency scores, and utilizes Mann‐Whitney U‐test to compare the efficiency score of stock exchange market group (SEM group) with that of over‐the‐counter market group (OTC group). Moreover, this paper explores the efficiency performance over different periods by use of the Malmquist productive Index (MPI).

This study indicates that Taiwan Semiconductor Manufacturing Corporation (TSMC) has the most relative efficiency in the wafer fabrication industry of Taiwan. In addition, this study finds out the average constant returns to scale (CRS) efficiency of the Taiwanese wafer fabrication industry from 1999 to 2003 is 84.98 per cent, and the average CRS efficiencies of all nine wafer fabrication companies are over 70 per cent. This study finds out that net sales and scale efficiency of SEM group are higher than those of OTC group. Moreover, this study shows that the main inefficient causes of four companies of SEM group except TSMC and Nanya are from the inefficiency of variable returns to scale efficiency, while the main inefficient causes of all companies of OTC group are from the inefficiency of scale efficiency. Finally, according the results of the MPI in this study, the wafer fabrication industry should introduce the new technology to improve its technology change effect.

This study provides a valuable reference for wafer fabrication companies not only in reviewing their efficiency, but also in enhancing their operational performance.