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Knowledge has become the basis of enhancing the core competitiveness of enterprises in this era of knowledge-driven economies. Collaborative knowledge management not only realizes the real-time exchange and communication of knowledge among different enterprises, but also facilitates the collaboration and integration of knowledge. Collaborative knowledge management has been successfully applied to different fields. To address the poor ecological responsibility of enterprises, the purpose of this paper is to introduce the concept of collaborative knowledge management in this research to determine if the evolution of the decision-making process in collaborative knowledge management is involved in corporate ecological responsibility (CER).

This research established an evolutionary game model of collaborative knowledge management for CER. The behavioral, evolutionary law and stable behavioral, evolutionary strategy of the participants was identified according to the replicator dynamics equation. Simulation analysis was conducted using MATLAB software.

Research results demonstrated that, first, the strategic selection of firms is influenced by cost and interest coefficients. Second, the strategy, selection of enterprises, is related to the common benefits of enterprise cooperation. Third, during the systematic evolution and stabilization of strategies, enterprises adopt the same knowledge strategies.

On the basis of the research findings, policy suggestions were proposed to encourage enterprises to implement collaborative knowledge management strategies in ecological responsibility.

This paper tests which theoretical perspective(s) can better explain firms’ external knowledge search behavior. Information processing and resource-based view theories propose a positive relationship between environmental turbulence and knowledge search breadth, whereas transaction cost economics and managerial attention theoretical perspectives posit that knowledge search breadth will be negatively influenced by environmental turbulence. In the context of Chinese small- and medium-sized enterprises (SMEs), this study examines the direct effect of environmental turbulence and the interactive effect of environmental turbulence and absorptive capacity (ACAP) on external knowledge search breadth.

This study adopted firm-level data collected via questionnaires from SMEs within the manufacturing sector in China. The partial least squares method was used to explore the determinants of the external knowledge search breadth of Chinese SMEs.

The results reveal that external search breadth tends to increase with an increase in a firm’s perceived environmental turbulence. In addition, the interaction between ACAP and environmental turbulence will be negatively related to external knowledge search breadth. The empirical evidence indicates information processing and resource-based view theories are more powerful in explaining the external knowledge search behavior of Chinese SMEs.

Unlike most of the innovation search literature, which have focused on the effect on performance of external search, this study focuses on the antecedents of firms’ innovation search behavior. The study contributes to the understanding of the relationship between environmental turbulence and knowledge search breadth as well as the understanding of the influence of ACAP on external knowledge search in the context of SMEs from emerging economies.

This study aims to explore the impact of search breadth and depth on corporate entrepreneurship (CE) through the mediating effect of opportunity discovery under the consideration of the technological environmental dynamism as a moderating factor.

This study adopts a quantitative method, collecting 246 questionnaires from high-tech firms in the national industrial park of the Yangtze River Delta zone in China. The authors examine the hypotheses using multiple hierarchical regressions and conduct Sobel and bootstrapping tests to further assess the mediating and moderated mediating effects of the variables.

The results indicate that both the relationship between search breadth and CE and the relationship between search depth and CE are mediated by opportunity discovery. The authors further show that technological environmental dynamism positively moderates the indirect effect of knowledge search breadth on CE and negatively moderates the indirect effect of knowledge search depth and CE.

This study provides a valuable theoretical framework for entrepreneurship literature by differentiating the effects of search depth and search breadth on the promotion of CE in established firms and pioneers the examination of the mediating role of opportunity discovery and the moderating role of technological environmental dynamism in these links as well.

This study aims to offer and validate an integrated marketing capability-product innovations framework. Particularly, it aims to examine the role of adaptive marketing capability in enabling market ambidexterity and incremental as well as radical product innovation. Also it intends to investigate the moderating role of transformational leadership between adaptive marketing capability and market ambidexterity.

Manufacturing firms in Pakistan, an emerging economy, are taken as the context for this study. A designed survey questionnaire is used for data collection. Partial least square technique is employed to empirically validate and test the hypothesized model with a sample of 192 manufacturing firms. Particularly, the two-stage approach in SmartPLS is used to validate measurement models, and structural equation modeling technique is used to test the proposed hypothesis.

The findings not only confirm that adaptive marketing capability is instrumental to both incremental and radical product innovations but also reveal that adaptive marketing capability serves an important antecedent to market ambidexterity shedding new lights on its mediating role in the relationship of adaptive marketing capability with incremental and radical product innovations. Moreover, the results find that the effectiveness of adaptive marketing capability to support market ambidexterity may involve a possible trade-off between exploitation and exploration when the leaders exhibit a low or high level of transformational leadership behavior.

This study contributes to outside-in strategic perspective and contextual ambidexterity literature by revealing the role of adaptive marketing capability as an important enabler of market ambidexterity which, in turn, allows the firm to simultaneously introduce incremental and radical product innovations. In this way, this study advances the current understanding of the antecedents and consequences of contextual ambidexterity. Also, this study provides insight into the types of capabilities needed for the firm's contextual and employees' behavioral adaptation to simultaneously manage exploitation and exploration within the same business unit which was lacking in the previous literature. Further, this study also offers a novel understanding of the conditional role of transformational leadership between adaptive marketing capability and market ambidexterity.

Building upon the firm market orientation theories, this study aims to examine the individual and synergistic effects of the firm inside-out and outside-in marketing capability on its incremental and radical product innovation outcomes.

By collecting cross-sectional data from 203 manufacturing firms in Pakistan, confirmatory factor analysis in AMOS and hierarchical multiple regression analysis in SPSS are performed to validate the study measurement models and test the hypothesized relationships, respectively.

The findings of this study suggest both inside-out and outside-in marketing capability critical for incremental and radical product innovation. Specifically, inside-out marketing capability is found positively associated with incremental product innovation and non-linearly (inverted U-shaped) associated with radical product innovation. Conversely, outside-in marketing capability is found positively associated with radical product innovation but non-linearly (inverted U-shaped) associated with incremental product innovation. However, the results indorse that developing synergy between the inside-out and outside-in marketing capability positively impacts both incremental and radical product innovation.

Drawing from the firm inside-out and outside-in market orientation theories, the study extends the existing research on product innovation outcomes from the marketing capabilities perspective. Previous literature highly recognized the value of the firm market orientation and being market-driven in market-based product innovations. However, there was a lack of understanding of how the firm marketing capabilities facilitate incremental and radical product innovation. This study provides a novel understanding of the firm inside-out and outside-in marketing capability role in inducing incremental and radical product innovation which enrich and extend the current literature on firm capabilities and product innovations from a marketing perspective.

Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity.

Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity.

The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks.

This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.

Traditional nondestructive failure localization techniques are increasingly difficult to meet the requirements of high density and integration of system in package (SIP) devices in terms of resolution and accuracy. Time domain reflection (TDR) is recognized as a novel positioning analysis technology gradually being used in the electronics industry because of the good compatibility, high accuracy and high efficiency. However, there are limited reports focus on the application of TDR technology to SiP devices.

In this study, the authors used the TDR technique to locate the failure of SiP devices, and the results showed that the TDR technique can accurately locate the cracking of internal solder joints of SiP devices.

The measured transmission rate of electromagnetic wave signal was 9.56 × 107 m/s in the experimental SiP devices. In addition, the TDR technique successfully located the failure point, which was mainly caused by the cracking of the solder joint at the edge of the SiP device after 1,500 thermal cycles.

TDR technology is creatively applied to SiP device failure location, and quantitative analysis is realized.

A detailed analytical study of Leping bark liptobiolith in Jiangxi was conducted to determine its petrographic characteristics and depositional environment based on coal petrography and geochemistry. Results indicate that barkinite mainly occurs in the middle and lower coal sea4ms, whereas less barkinite and more vitrinite occur in the middle and upper coal seams. Coal facies analysis of bark liptobiolith was performed to determine its characteristics under various depositional conditions, such as the presence of a water table and gelification during coal formation. Results indicate that the environmental evolution of bark liptobiolith begins from brackish-marine swamp facies (barkinite-rich coal seam) and ends in back barrier swamp facies (barkinite-poor coal seam).

The purpose of this paper is to propose and demonstrate criteria for omnibearing imbalance of macroeconomic system structure (regions, industries, urban and rural areas, departments, ownership, etc.) and their strategic optimization, for structural optimization of the global regional macroeconomic system, providing universal application of the formula for calculating, and quantitative basis.

Relevant statistical data will compare receipts (GBC) model calculation to quantitatively determine structural imbalance and the formation of structural optimization and direction and intensity of the strategic program.

Contemporary system science believes that all things take the form of systems, and that the output function depends on the internal structure of systems. Therefore, the system structure must be judged by the output benefit. Although the output benefit of a society's macroeconomic system is enslaved to the system's external environment (the peripheral environment, international economy, or even global economy), the state of the system's internal structure directly determines its output benefit. In reverse, the output benefit of the macroeconomic system is also the reference to evaluate its internal structure.

Research on the macroeconomic system structural imbalances and optimization with universal applicability.

The paper is of great significance with regard to the theory, methodology, and practice for structural optimization of the global regional macroeconomic system.

Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI).

Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI.

The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down.

In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.