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The study aims to empirically study the effect of venture capital on open innovation of China's enterprises.

This paper selects China's A-share listed companies on the small and medium-sized enterprises (SMEs) board and the Growth Enterprise Market from 2014 to 2018 as research samples to empirically study the effect of venture capital on open innovation of China's enterprises.

The authors find that venture capital can significantly promote open innovation of enterprises. This promoting effect is more significant when the venture capital institutions have profounder industry experience, higher shareholding ratio and are syndicated. Further research finds that venture capital mainly promotes open innovation through three mechanisms: increasing monetary funds, improving absorptive capacity and strengthening executive incentives, and the effect of venture capital on open innovation is significantly different under the conditions of different regions, industries and property rights.

This paper not only reveals the effect of venture capital on enterprises' open innovation and the specific mechanism, but also provides empirical evidence for emerging economies to build a national innovation ecosystem and make use of capital markets to accelerate innovation strategies.

To examine the relationship between online comments, merchant replies and online sales of tourism products and focus on the moderating role of tourist destination.

This article uses crawler technology and regression analysis methods.

The researchers found the following: (1) The number of pictures uploaded with online comments, the number of merchant replies and the length of merchant replies have a significant positive effect on sales of tourism products, while the length of comments and the similarity of merchant replies negatively affect sales of tourism products. The emotional scores of the reviews do not significantly affect sales of tourism products. (2) Tourist destination moderates the relationship between user comments and sales of tourism products. The length of comments has a greater negative effect on sales of domestic tourism products, while the number of comments has a greater positive effect on sales of overseas tourism products. (3) Tourist destination moderates the relationship between merchant replies and sales of tourism products. Consumers who choose domestic tourism products pay more attention to the interactivity reflected by merchant replies (e.g. number and length of merchant replies), while consumers who choose overseas tourism products hope to receive replies that are more useful, such as reply similarity.

The research conclusions enrich the relevant research in the field of online review research and has practical significance for how companies increase sales of tourism products.

With the rapid development of the service industry, service innovation has gradually become a hot topic in business today. How to further improve employees' service innovative behaviors has become critical to organizations' survival and success. Servant leadership, as a leadership style characterized by serving others, is closely related to employees' service innovative behaviors. Therefore, the purpose of this study is to develop a theoretical framework to examine the influence of servant leadership on employees' service innovative behavior, the mediating role of intrinsic motivation and the moderating role of identification with the leader.

To test the theoretical model, a multi-time survey method was used to collect data from 381employees from a large high-tech company in Mainland China.

The results confirm that servant leadership can promote employees' service innovative behavior and intrinsic motivation. Meanwhile, employees' intrinsic motivation partly mediates the influence of servant leadership on their service innovative behavior. Moreover, this mediating relationship is conditional on the moderating role of individual identification with the leader in the path from servant leadership to individual intrinsic motivation.

The key limitation of this study lies in the representativeness of sample data, which is the convenience of non-probability sampling and self-reported data only from a large high-tech company in China.

This study not only further verified a promotion factor of individual service innovative behavior from the perspective of leader influence, but also enriched the understanding of the positive influence of servant leadership on employees.

This study is the first to examine the relationships among servant leadership, employees' intrinsic motivation, identification with the leader and service innovative behavior. The results may help to open the “black box” of the relationship between servant leadership and employees' service innovative behavior by introducing their intrinsic motivation. The conclusions also indicate employees' identification with the leader is an important boundary condition among their relationships. Particularly, it not only moderates the relationship between servant leadership and intrinsic motivation, but also moderates the mediating role of intrinsic motivation.

This study aims to examine the motivating factors that influence intentions to book shared rooms through Airbnb as well as the moderating effects of past experience and gender.

This study analyzed data from 214 leisure travelers who had previously stayed in shared rooms through Airbnb and 207 participants who had not yet experienced Airbnb. A covariance-based structural equation modeling (CB-SEM) technique was performed to test the significance of attitude, subjective norms, extroverted personality, perceived risk and perceived price. Furthermore, the study explored past experience and gender as moderators.

The results suggest that attitude, subjective norms and perceived risk significantly impacted intentions to book shared rooms through Airbnb. However, perceived price was not a significant determinant. In addition, this study verified that past experience and gender moderated the relationship between important referents and attitude/booking intentions.

This study gives Airbnb hosts a better understanding of travelers who choose Airbnb’s shared rooms. In addition, hosts who offer shared rooms can implement marketing strategies and complementary activities to not only reduce the risk of booking shared rooms but also attract more travelers.

While previous studies examined Airbnb as one homogeneous type of accommodation, this study focused on Airbnb’s shared rooms. A clearer understanding of consumers who intend to book Airbnb’s shared rooms will enable hosts to develop effective marketing strategies.

The purpose of this paper is to determine differences in customers’ personal disposition to online shopping.

The research model was proposed based on two types of purchases (hedonic vs utilitarian) and on personal traits of individuals against technology throughout the Technology Readiness Index (TRI) 2.0. Generation and gender were considered to evaluate their impact on the type of purchases. Consumers’ data were collected in Chile through 788 face-to-face surveys. The partial least squares approach was used to test the research model.

The findings show that optimism and discomfort influence online shopping. Moreover, generation and gender moderate the relationship between the dimensions of the TRI and online purchases.

The contributions of this study are threefold. The analysis of personal traits and the type of purchases contribute to the existing literature on consumer behavior and e-commerce, and provide some insights for marketers to identify segmentation strategies by analyzing the gender and generation of individuals. Second, this study contributes to examining the stability and invariances of the TRI 2.0 instrument, which has not been fully revised in less developed countries. Third, this study adds to the existing body of research that argues that demographic variables are not sufficient to understand technology adoption by individuals by including psychological variables.

The purpose of this study was to test the mediating influence of workplace ostracism in the relationship between organizational cronyism and social capital. In addition, the authors posited that workplace incivility would interact with cronyism to directly influence social capital, and indirectly through its effect on workplace ostracism.

Using data collected in four waves, with a time interval of six weeks between each wave, from 358 university faculty members, the authors used the PROCESS macro to test the proposed moderated mediation model.

Results indicated that workplace ostracism mediates the influence of organizational cronyism on social capital, and that workplace incivility interacts with cronyism to influence social capital directly, and indirectly through its effect on workplace ostracism.

Most studies of social capital are theoretical. The few empirical studies have focused on factors that contribute to social capital and virtually no research exists on factors that undermine social capital. Based on the premise that negative interpersonal relationships are far more powerful in explaining outcomes relative to positive interpersonal relations and the notion that “bad is stronger than good,” the authors draw on social exchange theory and the norm of negative reciprocity to test a moderated mediation model and identify a mechanism and the condition under which social capital is undermined. The results have important implications for theory, research and practice.

The analysis of multimedia content is being applied in various real-time computer vision applications. In multimedia content, digital images constitute a significant part. The representation of digital images interpreted by humans is subjective in nature and complex. Hence, searching for relevant images from the archives is difficult. Thus, electronic image analysis strategies have become effective tools in the process of image interpretation.

The traditional approach used is text-based, i.e. searching images using textual annotations. It consumes time in the manual process of annotating images and is difficult to reduce the dependency in textual annotations if the archive consists of large number of samples. Therefore, content-based image retrieval (CBIR) is adopted in which the high-level visuals of images are represented in terms of feature vectors, which contain numerical values. It is a commonly used approach to understand the content of query images in retrieving relevant images. Still, the performance is less than optimal due to the presence of semantic gap among the image content representation and human visual understanding perspective because of the image content photometric, geometric variations and occlusions in search environments.

The authors proposed an image retrieval framework to generate semantic response through the feature extraction with convolution network and optimization of extracted features using adaptive moment estimation algorithm towards enhancing the retrieval performance.

The proposed framework is tested on Corel-1k and ImageNet datasets resulted in an accuracy of 98 and 96%, respectively, compared to the state-of-the-art approaches.

This study aims to propose a new methodology to develop bistable textile structures with two different states of heat and moisture transfer by taking inspiration from the animal kingdom. Bionic approaches controlling thermoregulation were analyzed, implemented at the textile level and evaluated. Therefore, 4D technology has been applied. This paper presents all the steps necessary for transferring bionic concepts on the textile level by using rapid prototyping and the 4D-textile approach.

Concepts for thermoregulation are derived from bionic approaches and are evaluated by the metrics of low cost and high adaptability to quickly changing needs. Subsequently, bionic approaches were implemented as prototypes by printing on a pre-stretched textile using an fused deposition modeling printer. The printed patterns and properties were investigated, and the effects of each parameter were evaluated. Finally, the prototypes were tested by comparing the data from the thermal imaging camera of the two bistable states.

This paper presents two printing pattern concepts for creating textiles with two different states of thermal and moisture transfer. The results show that bionic approaches for thermoregulation transferred to the textile level are possible and quickly put into practice through 3D-printing technology as a tool for rapid prototyping.

The presented methodology fills the technological gap for quickly transferring bionic approaches to the textile level using the 4D-Textile technology. In addition, the possibility of generating two bistable states with different thermophysiological properties in one textile and switching between them easily was shown.