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PurposeThe environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.Design/methodology/approachUsing a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.FindingsA broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.Practical implicationsFirms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.Originality/valueThis study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

This study examines the role of research and development (R&D) collaboration in the race to set standards in the Chinese automotive industry. We unravel how different properties of R&D collaboration provide firms with social capital that contributes to their involvement in formal standard setting. To test our hypotheses, we use a sample of 508 firms involved in collaborative R&D and standardization from 1987 to 2010. Our results show that firms with stronger and more efficient connections to R&D partners are more likely to set (domestic) standards. Furthermore, firms are more likely to set collaborative standards as a principal editor or non-collaborative standards when they possess stronger connections to their R&D partners. This relationship becomes more pronounced when the proportion of Chinese state-owned enterprises in the firm’s R&D network increases. These findings provide valuable insights for both managers and policymakers, as collaborative partnerships are primary strategic assets that can be leveraged for lobbying and hence, drive competitive advantage in standard competition.

This study investigated the characteristics and genesis of reservoirs in the 2nd and 4th members of Sinian Dengying Formation in northern Sichuan and its surrounding areas, on the basis of outcrop, drilling cores and thin section observation and geochemical analysis. The reservoirs of 2nd member are distributed in the middle part of the stratum. The reservoir quality is controlled by supergene karst and the distribution of mound-shoal complex. The bedded elongated isolated algal framework solution-cave and the residual “grape-lace” cave, which are partially filled with multi-stage dolosparite, constituted the main reservoir space of the 2nd member. There is no asphalt distribution in the pores. The pore connectivity is poor, and the porosity and permeability of the reservoir is relatively low. The reservoirs of 4th member were distributed in the upper and top part of the stratum. The reservoir quality is controlled by burial dissolution and the distribution of mound-shoal complex. The bedded algal framework solution-pores or caves, intercrystalline pores and intercrystalline dissolved pores constituted the main reservoir space of the 4th member. It's partially filled with asphalt and quartz, without any dolosparite fillings in the pores and caves. The pore connectivity is good. Most of the 4th member reservoirs had medium-low porosity and low permeability, and, locally, medium-high porosity and medium permeability. Affected by the development of mound-shoal complex and heterogeneous dissolution, the platform margin along Ningqiang, Guangyuan, Jiange and Langzhong is the most favorable region for reservoir development. Deep buried Dengying Formation in the guangyuan and langzhong areas should be the most important hydrocarbon target for the future exploration. Key words: Sichuan Basin, northern Sichuan area, Sinian, Dengying Formation, mound-shoal complex, supergene karst, burial dissolution, reservoir

PurposeRecent studies have conceptualized market orientation into two distinct components, responsive and proactive market orientation. The purpose of this paper is to examine the environmental antecedents that lead to the adoption of a responsive or proactive market orientation.Design/methodology/approachDrawing upon the market orientation literatures, and using theory derived from environment strategy research as a starting point, a conceptual model is developed in which environmental factors are antecedent variables influencing the responsive and proactive market orientation. To test the conceptual model, data were collected from 308 companies across a wide range of industries.FindingsThe results show that responsive market orientation is positively related to market turbulence, technological turbulence and competitive intensity. On the contrary, proactive market orientation is negatively related to market turbulence, technological turbulence, and competitive intensity.Originality/valueThe paper makes a theoretical contribution in that it extends the market orientation literature and examines what environmental antecedents affect responsive and proactive market orientation. The paper also makes some managerial recommendations.

This paper aims to use quantitative method to analyse the suitability of regional technical innovation and further compare its influence to regional economic growth in China. Based on literature review, the authors develop an evaluation index system containing four aspects (namely, innovators, innovation resources, economic environment and technical environment). By using the Niche-Fitness Model, 31 Chinese provinces’ regional technical innovation suitability is assessed into a square matrix. Using the public data, the regression analysis of technical innovation suitability and economic growth of each province is carried out and correlation is found to exist between regional technical innovation suitability and regional economic growth: The higher technical innovation suitability, the bigger contribution of technical innovation to economic growth.

Big data knowledge and private knowledge are the two dominant types of knowledge that an enterprise needs for new product innovation in a big data environment. Big data knowledge can help enterprises to make decisions, trim costs and lift sales. Private knowledge is usually the core patent knowledge, which can help to enhance the quality of products. The decline in product cost and the increased quality of a new product after knowledge transfer may lead to pricing decisions with respect to an enterprise's new product. By considering the changes in product costs, market share and the profits after knowledge transfer caused by price changes to a new product, an optimisation model of price changes after knowledge transfer in the big data environment is presented. It can enable pricing decisions about new products for enterprises in the big data environment.

At present, enterprises have been developing more and more quickly in China. In order to strengthen the systems of enterprise management, manufacturing execution, equipment and so on in each link of management, many enterprises have started to use data integration to construct an Informationization management system. Based on the needs of the development of enterprises, this paper analyzes the pattern formation of data integration and its advantages and explores its role in enterprise informationization construction. Introduction In the times of informationization, informationization development is a necessary stage for every enterprise to go through in metamorphosis. In the process of enterprises’ development, it is easy to form “information island” due to failure of communication or trade restrictions, which troubles either decision-making or management for them. Latitudinally,enterprises need to receive the latest industry news for development; longitudinally, they need to summarize experience of historical development; on the whole, they need to integrate information from each subsumed department. In all, informationization is necessary, so is data integration for enterprises’ development in terms of the three above-mentioned aspects. Data Integration The so called data integration is divided into three layers in the light of its structure, i.e., data-capture layer, data management layer and data service layer, as is shown in Fig. 1 below. The data-capture layer is responsible for capturing and updating available data and then registering them as data source. The data abstraction model, namely, data-capture layer, first monitors and analyzes data from data sources in storage. As an enterprise embodies a big database, the basis of model construction relies on data collection. Therefore, it is necessary for the data extraction model to detect changes in data for adding in data at all times. The data management layer is responsible for data integration, i.e., management and maintenance on the basis of data. As the data is in a scattered state after being collected, only when they are integrated and classified will they be available for backup use. The data service layer provides useful information for decision makers pointedly and selectively. However, decision making calls for precise and accurate data. Hence, the provided information is supposed to having been analyzed in one way or another to the necessity of decision making. All the three layers are constituents of EAI(Enterprise Application Integration). They seem to perform different functions, but constitute an inter-related and indivisible whole. They are all described in XML because the language is both easy to use and has good performance. Data International Conference on Computational Science and Engineering (ICCSE 2015) © 2015. The authors Published by Atlantis Press 223 extraction, transfer and loading are all components of the establishment and maintenance of database, for which several key techniques are adopted including data extraction model design. Figure 1 Layer Diagram of Data Integration System The data load design, for example, is one of the core technologies employed for data integration. At present, inverse transformation of data is carried out with the help of XML. That is, XML data is transformed into target data; it is also a process of loading data into database. In the process of data loading, target increment table is a key point as well as the source of data to be loaded.The names for the target increment table may includean extracted table name with the suffix “-dest”or flag, updatetime, etc. addingall of the fields of the corresponding target. In general, constructing data loading first requires connecting the database to the target database and then the data in the target increment table load to the target database.That is the process of data loading design, wherein the loading method employed for the target increment table as the data source can import data of similar structure without switching in the context of the database. This greatly improves the performance of data loading. Necessity of Data Integration Nowadays, informationization is becoming more and more important. In addition to capital and technology, information has become an important factor for the development enterprises. Therefore, database technology has become the hot spot of research and received as much attention as in the research both at home and abroad. But most of the concern has been focused on technology and integration framework, which has changed related methods of data integration and is of great help for enterprises to improve flexibility and collaboration capabilities. It is widely acknowledged that database has good real-time performance. But it has certain requirements for network and devices and its cost is high. If the transformation and transmission is processed through data replication, even though the data could be delayed, the access will be faster and cost will be lower. Therefore,it can be concluded that although data integration has faults, the methods for its implementation are simple. Besides,it is flexible in s data processing andhas good maintainability; thus feasible. In the meantime, it is also an "informationization revolution" necessary for enterprises to carry out to stand in the tide of information in the information age.

In this paper, sisal fiber cellulose microcrystal (SFCM) was prepared by the sulfate pulping method, and sisal fiber cellulose microcrystal/unsaturated polyester (SFCM/UP) in situ resin was polymerized. Furthermore, the SFCM/UP composite was prepared by rolling and molding techniques. Effects of SFCM content on mechanical and wear properties of the UP composites were studied. Structure and properties of the in situ SFCM/UP resin and its composites were characterized by using Fourier transform infrared, polarized optical microscopy, thermogravimetric analysis, scanning electron microscopy, and other methods. The results showed that the addition of SFCM by in situ polymerization significantly improves the thermal stability of UP: The decomposition temperature (Td5) of SFCM/UP in situ resin, at thermal weight loss of 5%, is increased by 16°C compared to that of the pure UP resin. On a condition that the SFCM content was 2%, the impact strength, flexural strength, and flexural modulus of SFCM/UP composites are higher than those of UP composites by 41.08%, 52.52%, and 32.31%, respectively. Moreover, the addition of SFCM significantly enhances the wear properties of unsaturated polyester composite at 200°C; the volume wear rate of SFCM/UP composite is lower than that of UP composites by 64%, indicating SFCM could significantly strengthen and toughen UP composites.