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University–industry (UI) collaboration is essential for knowledge and technology exchange between higher education institutions and industries, enabling enterprises to accelerate innovation. However, few studies have investigated the collaborative innovation mechanism through which UI collaboration can enhance the accumulation of firms' intellectual capital (IC) and how this, in turn, affects their innovation-driven development.

Drawing from the knowledge management and collaborative innovation theory, this research proposes a theoretical framework of the inter-organization relationship between enterprises and universities to investigate the influence mechanism of UI collaboration, including academic engagement and commercialization, on corporate performance as well as the mediating role of IC by employing survey that covers 177 UI collaborations.

Empirical results show that human capital and relational capital fully mediate the relationship between academic engagement UI collaboration and corporate economic performance, while human capital partially mediates the relationship between commercialization UI collaboration and corporate economic performance. Additionally, structural capital and relational capital partially mediate the relationship between academic engagement and corporate innovation performance, while structural capital fully mediates the relationship between commercialization and corporate innovation performance.

This study empirically investigates how academic engagement and commercialization impact corporate performance (i.e. innovation dimension or economic dimension). It uncovers this relationship's underlying mechanism by documenting the IC's mediating impact.

Significant increase or decrease in research and development (R&D) expenditure may have an immense impact on market value. Based on the punctuated equilibrium theory, this paper aims to empirically analyze the impact of R&D volatilities on market value and the moderating effect of executive overconfidence.

The study uses the panel data set that covers 902 Shanghai and Shenzhen A-share manufacturing listed firms and multiple regression method to test the theoretical hypotheses.

The results show that both positive and negative R&D volatilities have a robust and significant positive impact on the market value. Further analysis shows that the executive overconfidence positively moderates the relationship between R&D volatilities and market value.

In a rapidly changing and highly competitive environment, firms should recognize that the balance of innovation strategies will help to bring higher market value. Furthermore, firms could improve corporate governance to make the best of managerial characteristics, such as overconfidence, on the innovation decision-making process.

By pushing the static perspective to a dynamic perspective and empirically documenting the role of executive overconfidence, this study contributes to the literature on the relationship between R&D expenditure and market value, generating theoretical and practical insights for firms to improve innovation governance and innovation strategies to achieve better business performance.

Current open innovation (OI) and external knowledge search (EKS) research primarily shows a positive linear relationship between EKS and innovation at an individual level. However, organizational scholarship argues that excessive EKS may harm innovation. This study combines the knowledge-based view (KBV) and attention-based view (ABV) to articulate a nonlinear theory of EKS and innovation at the individual level.

The authors constructed a multi-sourced dataset covering 59,798 USA pharmaceutical patents spanning from 1975 to 2014 and employed negative binomial fixed-effect models to examine theoretical hypotheses.

We find a significant concave curvilinear relationship between EKS and innovation quantity as well as innovation quality at an individual level. An individual’s knowledge breadth and depth moderate the relationship between EKS and innovation, such that the threshold at which EKS has diminishing returns for individual innovation is higher for inventors with a broad range of knowledge and those with deeper expertise in the domain where they are innovating.

Managers should guide inventors toward a moderate investment of time and effort in EKS and should caution against over searching. Besides, managers should recognize that an inventor’s capacity for EKS is determined in part by their breadth of knowledge across various domains as well as the depth of knowledge they have in the knowledge domain where they are innovating.

We provide both parties with a clearer understanding of when EKS can begin to deteriorate an individual’s innovation performance why that deterioration occurs, and we also highlight two individual-level knowledge characteristics to take into consideration when deciding when to cease the EKS process.

This study provides a novel holistic understanding of OI and knowledge management for policymakers and organizations to nourish innovation dynamism and make the best of knowledge stocks in the community, which in turn will create endless power for sustainable social change and inclusive development.

This study contributes to OI theory by highlighting the non-linear nature of the relationship between EKS and innovation on an individual level. This represents a fundamental shift in theory on EKS and individual innovation by suggesting a major rethinking of how the two concepts relate, revealing the dark side of EKS in knowledge management if inventors engage in excessive EKS. Likewise, our study’s incorporation of the ABV informs KBV scholarship by highlighting the role of the limited attentional capacity of individuals in firm knowledge management.

Social movements can disrupt existing industries and inspire the emergence of new markets by drawing attention to problems with the status quo and promoting alternatives. We examine how the influence of social movements on entrepreneurial activity evolves as the markets they foster mature. Theoretically, we argue that the success of social movements in furthering market expansion leads to three related outcomes. First, the movement-encouraged development of market infrastructure reduces the need for continued social movement support. Second, social movements’ efforts on behalf of new markets increase the importance of resource availability for market entry. Third, market growth motivates countermovement that reduce the beneficial impact of initiator movements on entrepreneurial activity. We test these arguments by analyzing evolving social movement dynamics and entrepreneurial activity in the US wind power industry from 1992 to 2007. We discuss the implications of our findings for the study of social movements, stakeholder management, sustainability, and entrepreneurship.

The purpose of this paper is to propose a method for hand measurement based on image and marker watershed algorithm, and combine the data to analyze the shape and characteristics of the hand.

A portable hand image capturing instrument was designed and manufactured, and the hand images and dimensions of 328 young men in Zhejiang area were obtained. The outer contour curve of the hand and the key points of finger root, fingertip, wrist and knuckle position were extracted. Then, the size of each hand part was calculated. The hand data obtained from the two-dimensional image was compared with the manual measurement data. Finally, the hands were classified according to the measurement data, and the relationship between hand control size and hand length, hand width and the relationship between hand length and height were explored.

The data comparison results show that the two measurement methods have high data consistency and are replaceable. In addition, analyzing the data obtained four major characteristic factors that affect the shape of the hand, divided the hands of young men in Zhejiang into five categories, and obtained the regression equations of basic hand size, hand length and hand width, and obtained the regression equation of hand length and height.

The method proposed in this study to obtain hand size based on the image and mark watershed algorithm has lower requirements on the external environment and testers, conforms to the development trend of applying artificial intelligence to anthropometric engineering and provides a useful reference value for data collection of gloves specification design. In addition, the results of data analysis can provide a valuable reference basis for consumer hand shape predictions, which can be used to guide the research and production of hand instruments, the design of specifications series and the purchase of hand products.

This study aims to analyze the difficulties observed in the management of three hydroelectric turbine projects developed by a large multinational company in the metal-mechanic segment, identifying those most critical.

Through a bibliographic search, difficulties throughout project management were identified. These difficulties were used as a research protocol to carry out three case studies in a hydroelectric turbine manufacturer. The projects selection aimed to contemplate different characteristics to encompass the diversity of their typologies. Data were analyzed through content analysis technique and the difficulties were ordered via Grey Relational Analysis (GRA).

Qualitative data analysis provided specific insights regarding the characteristics of each project. When analyzing the difficulties of hydroelectric turbine projects management via GRA, it is observed that those difficulties most evidenced were related to integration and communication, suppliers management and objectives definition.

The main contribution of this research lies in the sector under analysis. The literature about hydroelectric turbine projects is scarce. In addition, no similar studies were found in the literature.

The global energy market has been facing lower prices of crude oil in recent years. Lower fuel price leads to lower transport cost and cheaper agricultural inputs (such as pesticides and chemical fertilizer), resulting in lower prices of agricultural commodities in the international markets. On the other hand, lower global oil price reduces the oil revenues of oil exporting countries, resulting in a decrease in government expenditures. Therefore, the purpose of this study is to examine the impacts of lower global oil and agricultural commodity prices and government expenditure on the entire economy and poverty level of Malaysia.

This study used a computable general equilibrium model (CGE) to investigate four simulation scenarios based on the latest Malaysia’s input-output table belonging to 2010. The first scenario is a 30 per cent fall in the export and import prices of agricultural commodity prices, while the second is a 50 per cent decline in the export and import prices of crude oil, and the third combines them. In the fourth scenario, government operating expenditure declines by 4 per cent because of the fall in government’s oil revenues as a result of the decline in global oil prices.

The simulation results suggest that lower international oil price decreases real gross domestic product (GDP) and investment in Malaysia and influences positively the output and employment of some agriculture sectors. However, lower agricultural commodity price increases real GDP and investment in the country and negatively influences the output, employment and exports of all agriculture sectors. The decline in government expenditures also increases the output and the employment in the economy, whereas it decreases household consumption. In conclusion, results show that the agriculture sector losses from the current decline in international agricultural commodity prices, while it benefits from lower oil and government expenditure.

The main contribution of this study is comparing the impacts of recent falls in global oil and agricultural prices on the entire economy and agriculture sector of Malaysia. Investigating the impacts of these issues on the poverty level of Malaysian households is another contribution to the study. Another contribution is analyzing the impact of a reduction in government expenditures because of the decline in global oil price on the economy and welfare of Malaysia. Therefore, this study makes a useful contribution to the small literature of the topic.