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When considering the influence of external social, technical and political environments on organizations’ open innovation behavior, especially in emerging markets, institutional theory is especially salient. This study aims to answer the question of how to integrate organizations’ external institutional pressures and internal knowledge structure to mitigate the challenges in the open innovation process.

This study uses a sample of 2,126 observations from the 2012 World Bank Enterprise Survey. A multivariate regression model is designed to explore the impact of external institutional pressure (i.e. coercive pressure, mimetic pressure and normative pressure) on open innovation, as well as the moderating effect of digital knowledge and experience-based knowledge.

The results show that institutional pressure has a positive role in promoting open innovation; digital knowledge weakens the positive relationship between institutional pressure and open innovation; experience-based knowledge strengthens the positive relationship between institutional pressure (especially coercive pressure) and open innovation.

This study combines institutional theory and knowledge management to enriches insights into open innovation in emerging markets. Beyond recognizing the inherent multidimensionality of the concept of institutional pressure, this study creates an integrated path for the legitimacy acquiring of enterprises through the knowledge structure design (i.e. digital knowledge and experience-based knowledge). It also deepens the institutional pressure to enable the implementation of digital knowledge to manage open innovation processes.

This research helps firms pursue an open innovation strategy but want to minimize competitive pressure from other external entities. A theoretical framework is constructed to analyze the impact of openness on innovation performance, exploring different effect of firms' external search channels.

This paper employs a stepwise hierarchical regression approach to assess the effect of openness on technological innovation considering the role of information technology adoption and political ties. The effect is conducted using a large-scale sample of 1,073 Chinese manufacturing firms over the period 2011–2013 as empirical research objects.

There are two stages of the open technological innovation process while the information technology (IT) adoption and political ties are the key consideration in emerging markets. Openness is curvilinearly (taking an inverted U-shape) related to innovation performance. Both information technology adoption and political ties generally help firms to turn broadly sourced external knowledge into technological innovation performance. This will stimulate “one plus one is greater than two” effect not only in the process of achieving performance goals, but also in the process of technological innovation.

This quantitative research illustrates the importance relationship between firms' open behaviors and technological innovation performance in emerging markets. It helps us understand firms' current constrains of open strategy of technological innovation and helps domestic or foreign investors to make strategic collaboration choices in emerging economies according to the degree of openness, informatization level, political connections, which is equally important for research and practice.

The purpose of this study is to empirically investigate the extent to which two types of commercial partnerships (business partner and non-business partner) affect the collaborative innovation of firms in emerging economies. Specifically, the roles of two commercial partnerships are investigated. Additionally, the study explores the moderating effect of external technological uncertainty and internal dynamic capabilities on the relationship between two commercial partnerships and on collaborative innovation.

Using a sample of 370 high-tech firms in China, the authors applied the partial least squares structural equation modeling approach to model these relationships.

The findings reveal opportunities and challenges for companies according to two intensities of commercial partnership for collaborative innovation. The partnership contribution to innovation and competiveness is different within the two routes and ranges. The findings indicate that (1) intense commercial relationships with business partners have a stronger positive significant impact on collaborative innovation than those with non-business partners and (2) non-business partners have a weaker positive impact on collaborative innovation at high external technological uncertainty. It was also found that (3) the positive impact of business partners on collaborative innovation is weakened when a firm has high dynamic capabilities, whereas the positive impact of non-business partners is strengthened.

Insight into the roles of two commercial partnerships in achieving collaborative innovation facilitates the advancement of the theoretical understanding of the circumstances under which cooperative innovation can be more effective under different partnerships.

A key strategic question is whether comprehensiveness enables firms to make better strategic decisions in various environments. In the process of innovation, companies must choose different types and quantities of partners, and they must regulate their partners’ innovative behavior by establishing a corresponding network structure and relationship rules. The current study focuses on analysis of how different intensities of commercial partnerships affect collaborative innovation. This research provides a theoretical framework that creates a new classification of commercial relations with regard to collaborative innovation, and it highlights the difference between the two types of partnerships. This study finds that there are many problems in the selection of innovative partners in China’s high-tech companies. Therefore, companies should strengthen their understanding of cooperative innovation, and they should build and manage highly efficient innovation networks. This study helps companies, high-tech industry associations, academia and government to take enhanced, informed actions.

With the aim of shedding new light on the characteristics of human capital in its relationship with organizational innovation, this paper develops a novel theoretical and empirical exploration of the characteristics of human capital, both executives' experience and employees' average education level, as well as the moderating effect of female ownership, on two different aspects of organizational innovation.

Data were obtained from the World Bank's China private manufacturing enterprise questionnaire survey. The study employs regression analysis of a logistic model using 1,598 samples, because the dependent variable of an organization's innovation index is a binary variable.

Using World Bank survey data of Chinese private manufacturing enterprises, the authors find that executives' experience has a significantly positive effect on process innovation. Female ownership strengthens the relationship between executives' experience and process innovation. Moreover, the results indicate that employees' average educational level has a significantly positive effect on product innovation. Female ownership strengthens the relationships between employees' average educational level and organizational innovation including product innovation and process innovation. This study highlights the importance of simultaneously testing the effects of human capital and gender heterogeneity on organizational innovation activities.

This study explores the impact of human capital on organizational innovation activities in the context of the Chinese manufacturing industry. Moreover, organizational innovation activities are divided into two aspects: product innovation and process innovation. This study separately discusses the effect of human capital on these two kinds of innovation in detail. Finally, female ownership is selected as a moderating variable, and it is demonstrated that interactions of female owners with executives' experience and employees' average educational level have a positive impact on increasing different kinds of organizational innovation. The authors identify new boundary conditions for the domain of female research that are sorely lacking in the present literature.

The purpose of this paper is to analyze and show how to avoid the interference in infrared (IR) temperature field measurement during welding.

First, the hardware used in this experiment is described. In this paper, these interferences are first classified into diffuse and specular reflection based on reflection model, and are restrained, respectively. Finally, IR temperature is calibrated by thermocouple.

The specular reflection is the primary interference which causes high light zone. And it can be transferred out of welding seam when the IR thermography is placed perpendicularly to welding seam.

The paper provides a new IR measure method and detailed analysis about the interferences in applying IR temperature sensing.

With the continuous development of aerospace technology, space exploration missions have been increasing year by year, and higher requirements have been placed on the upper level rocket. The purpose of this paper is to improve the ability to identify and detect potential targets for upper level rocket.

Aiming at the upper-level recognition of space satellites and core components, this paper proposes a deep learning-based spatial multi-target recognition method, which can simultaneously recognize space satellites and core components. First, the implementation framework of spatial multi-target recognition is given. Second, by comparing and analyzing convolutional neural networks, a convolutional neural network model based on YOLOv3 is designed. Finally, seven satellite scale models are constructed based on systems tool kit (STK) and Solidworks. Multi targets, such as nozzle, star sensor, solar,etc., are selected as the recognition objects.

By labeling, training and testing the image data set, the accuracy of the proposed method for spatial multi-target recognition is 90.17%, which is improved compared with the recognition accuracy and rate based on the YOLOv1 model, thereby effectively verifying the correctness of the proposed method.

This paper only recognizes space multi-targets under ideal simulation conditions, but has not fully considered the space multi-target recognition under the more complex space lighting environment, nutation, precession, roll and other motion laws. In the later period, training and detection can be performed by simulating more realistic space lighting environment images or multi-target images taken by upper-level rocket to further verify the feasibility of multi-target recognition algorithms in complex space environments.

The research in this paper validates that the deep learning-based algorithm to recognize multiple targets in the space environment is feasible in terms of accuracy and rate.

The paper helps to set up an image data set containing six satellite models in STK and one digital satellite model that simulates spatial illumination changes and spins in Solidworks, and use the characteristics of spatial targets (such as rectangles, circles and lines) to provide prior values to the network convolutional layer.

This study aims to examine the joint impact of networking capability and agile project management on organizational agility of telecommunication technology providers' in Indonesia. The study also examines the moderating role of market orientation as a predominant strategic orientation on the relationship between agile project management and organizational agility.

Research data were collected via a questionnaire survey from the executive management of telecommunication technology providers in Indonesia to obtain 150 valid questionnaires for analysis. This study analyzed the overall model fit and causal relationship using confirmatory factor analysis and structural equation modeling.

The results indicate that networking capability positively affects organizational agility. However, agile project management's significant effect on organizational agility occurs only when the relationship is moderated by market orientation. The results of the study also demonstrate that organizational agility positively affects organizational performance.

This study is based on a cross-sectional nature and might fail to capture the studied variables' dynamic over an extended period.

The study enriches the previous literature in organizational agility by presenting the collective impact of networking capability and agile project management and the moderating role of market orientation. However, dissimilar with major prior studies, the results indicate that agile project management's direct effect on organizational agility is not significant. Agile project management needs to be moderated by market orientation to create exceptional customer values and overcome the competition for the organization to achieve organizational agility, responsiveness and adaptability to address customers' needs and requirements. Furthermore, the study's result corroborates the importance of organizational agility to achieve organizational performance in the highly dynamic telecommunication industry.

This study examines the collaborative impact of networking capability and balanced agile project management (APM) on firm performance through the mediating role of market orientation and business process agility of medium and large telecommunication technology providers in Indonesia.

Research data were collected from the executive management of telecommunication technology providers in Indonesia via a questionnaire survey to obtain 150 valid questionnaires for analysis. This study analyzed the overall model fit and causal relationship using confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The results indicate that market orientation fully mediates the link between networking capability-business process agility and balanced APM-business process agility. Furthermore, business process agility mediates the relationship between market orientation and firm performance.

This study is based on a cross-sectional nature and might fail to capture the dynamic of the studied variables over an extended period.

The study extends the knowledge that dynamic capabilities, represented by networking capability and balanced APM, must be framed by market orientation to create customer value and improve bargaining position. However, market orientation alone is not enough in a highly dynamic business environment. Organization also requires business process agility, responsiveness and adaptability to timely address customers' needs and requirements.

This study aims to explore how and when learning from others promotes creative performance over the contributor’s tenure in the context of open innovation communities.

The authors analyze a publicly available data set that includes 25,923 innovative items developed by 2,194 contributors from an open innovation community of an online game spanning eight years. Logistic regression model is used for analyzing the data.

The results show that multicultural experiences are negatively related to contributor’s creative performance, and this negative relationship weakens as contributor’s tenure increases. While diverse skills are positively related to contributor’s creative performance, and this positive relationship strengthens as contributor’s tenure increases.

This research highlights the importance of online team collaboration in knowledge transfer through learning from others in open innovation communities. By identifying two outcomes of learning from others through online team collaboration, the authors demonstrate the double-edged role of learning from others and advance the understanding on how the effect of learning from others varies over the contributor’s tenure. These results expand the understanding of online team collaboration and provide a new perspective for research on learning from others.