Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value NHU Company managed the collaborative relationship efficiently with the institutions, representing an effective degree of university-industry collaborative innovation management.
Based on the flow stages structure of steam turbine, the collaborative optimizing model for selecting turbine extracting openings and steam sources of deaerator and feed pump turbine has been established by means of stages combinational-searching. Taking a 600MW steam turbine unit for example, the validity of the model has been illustrated, and various optimization schemes have been obtained with different steam sources of deaerator and feed pump turbine. The results show that the standard coal consumption rate can be decreased by up to 0.78069g/kW·h when the extracting openings are fixed. And the standard coal consumption rate can be decreased by up to 0.93342g/kW·h when the extracting openings are optimized collaboratively. The optimization method has referenced value for optimizing and designing the regenerative heating system.
In order to satisfy the requirement of equipment layout of the decontamination station, using SLP theory and method to transform the decontamination objects and decontaminant into logistics objects, and the internal equipment layout of the decontamination station is designed.First, determine the decontamination process.Then, divide decontamination operation units and analyze closeness of the logistics and non-logistics relationship between the units to generate a comprehensive relationship diagram of the operation units.Finally, two layout schemes are designed considering the actual constraints of the decontamination operation, and the evaluation method was carried out by using the hierarchical weighted factor comparison evaluation method to obtain the optimal scheme.
Purpose Deglobalization and the coronavirus disease 2019 (COVID-19) pandemic have severely hindered multinational enterprise (MNE) investment. At the same time, digital technology is seriously challenging it with traditional production factor flows. Few studies have realized that the impact of digitalization is not limited to either transaction costs or the location-boundness of firm-specific advantages (FSAs), but extends to profound changes in the fundamental essence of MNEs. There is still limited understanding of this body of knowledge as a whole, including how its subtopics are interrelated. This study took the production factor change perspective to review MNE theory in the digital era. Therefore, this study aims to identify any upcoming and undeveloped themes in order to provide a platform suited to direct future research. Design/methodology/approach This paper presents a summary and a review of 151 articles published between 2007 and 2020. Such review was conducted to systematically explain the connotations and influential mechanisms of digital empowerment on MNE theory. This was achieved by using the CiteSpace citation visualization tool to build a keyword co-occurrence network. Findings The research findings pertain to how digitalization expands, breaks through, and even reshapes traditional MNE theory from four distinctive angles: the influential factors of internationalization, the process of internationalization, competitive advantage, and location choice. The findings are followed by the presentation of future research directions. Originality/value This paper presents an examination of MNE theory in the digital era from the perspective of production factor change. In doing so, it identifies significant theoretical innovation opportunities for future scholarly research priorities.
Developing countries focus on radical innovation naturally when they implement the technology innovation to catch up with Developed countries. However, recent studies have indicated a high rate of failures in the radical innovation. This paper illustrates the obstacles for developing countries to implement the radical innovation. Then we introduce a new innovation method - Open-Disruptive Innovation (ODI). With this method, we can obtain the technological resources from outside regularly and improve the core competitiveness effectively. Actually, many companies in China achieve success with this method. It is one of the best methods for Developing Countries to achieve the independent innovation. The paper cites two China's cases to verify ODI effective in enhancing the capability of independent innovation and also summarizes the law of the innovation practice.
Cross-border mergers and acquisitions (M&As) undertaken by emerging market firms have been associated with competitive advantage. However, little research has focused on the transferability of this enhanced competitive advantage. Even less is known about the role played by state-owned enterprises. This paper investigates whether Chinese information and communications technology firms that undertake cross-border M&As can improve their non-location bound competitive advantage. We used cross-border data between 2010 and 2017 and propensity-score matching and differences-in-differences approaches. We found that cross-border M&As significantly improve the home-country-bound competitive advantage. However, the effect on non-location bound competitive advantage is not significant. From the perspective of impact mechanism, this is due to a crowding-out effect of cross-border M&As on research and development (R&D) investment which inhibits non-location bound advantages. It also results from state-owned enterprises which are generally considered to have institutional advantages, not effectively using cross-border M&As to enhance their competitive advantages. This research distinguishes and quantifies home-country-bound competitive advantage and non-location bound competitive advantage and establishes a framework for how cross-border M&As enhance enterprise competitive advantage. It provides an explanation for the extant research on whether state-owned enterprises can enhance their competitive advantage through cross-border M&As, and what kind of advantage they attain.
ABSTRACT We propose a theory of reputation to explain how investors rationally respond to mutual fund star ratings. A fund's performance is determined by its information advantage, which can be acquired but decays stochastically. Investors form beliefs about whether the fund is informed based on its past performance. We refer to such beliefs as fund reputation, which determines fund flows. As performance changes continuously, equilibrium fund reputation may take discrete values only and thus can be labeled with stars. Star upgrades thus imply reputation jumps, leading to discrete increases in flows and expected performance, although stars do not provide new information.
Location based services are the hottest applications on mobile device nowadays. Indoor wireless position is the key technology to enable location based service to work well indoors, where Global Position System normally couldn't work. The main tendency of indoor wireless position is based on Bluetooth and RSSI (radio signal strength indicator). RSSI is the key parameter for wireless position. But values of RSSI are affected by environment factors easily. Because of this reason, results got from the indoor location technology are usually imprecise and unacceptable. In this paper, an adaptive algorithm based on Distance-Loss model in complex environment is introduced to deal with such problems. The algorithm makes the model adapt to the environment by several parameters which are not influenced by environment. The stability and the accuracy of the algorithm is evidenced by a series of strict experiences
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