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Team learning is critical to interdisciplinary research teams (IDR teams) to use heterogeneous knowledge effectively. Nevertheless, team learning is rarely addressed in the IDR team literature. Also, few studies investigate the antecedents and consequences of team learning in IDR teams, leading to a lack of guidance for management practices. This study aims to investigate how team learning can be developed and how team learning influences team outcomes in IDR teams.

A questionnaire survey on 304 members of 37 IDR teams in a research university in China is conducted. Data are analyzed using a partial least square structural equation modeling.

The results support most hypotheses in general. For the antecedent variables, task interdependence, trust and constructive conflict positively affect team learning. For the outcome variables, team learning improves shared mental models, coordination quality and team performance significantly. Additionally, task uncertainty positively moderates the team learning-coordination quality relation and team learning-team performance relation. However, this paper does not find support for the moderating role of task uncertainty on the team learning-shared mental models relation.

To the best of the knowledge, this is the first study investigating the antecedents and consequences of team learning in IDR teams. A multidimensional measurement of team learning for the IDR team context is developed. This study investigates how team behavioral factors influence team learning and the effect of team learning on shared mental models, coordination quality and team performance. This study also explores the contingency role of task uncertainty in the effects of team learning.

Based on social influence theory, this paper aims to explore the influence of academic entrepreneurs on team innovation activities. The innovation behavior of academic team members is the key behavior in academic entrepreneurial activities. As a special entrepreneurial group, academic entrepreneurs' political skills play an important role in stimulating team innovative behaviors.

This paper adopts a multi-level study design and takes as samples the paired data of 91 academic entrepreneurial teams (n = 475). Based on team cognition, it constructs a model of the influence mechanism of academic entrepreneurs' political skills on team innovation behavior and explores the mechanism of transactive memory system in this influence effect. The authors use HLM and PROCESS macro to test our multilevel model.

The results show that academic entrepreneurs' political skills positively impact team innovation behavior, and a transactive memory system plays a mediating role between them. Team psychological safety significantly enhances the positive relationship of both academic entrepreneurs' political skills and a transactive memory system with team innovation behavior. Moreover, with enhanced perceptions of team psychological safety, academic entrepreneurs' political skills are more likely to improve team innovation behavior through the transactive memory system.

The study explores the influence of transactive memory system on the relationship between academic entrepreneurs' political skills and team innovation behavior, with the team cognitive perspective derived from social influence theory. This provides authors with new insights on the complex dynamics at place in the team innovation process and offers implications for how we can fruitfully manage this process.

Based on social influence theory (SIT) and social capital theory, this paper aims to explore the mediating role of entrepreneurial networks between technological entrepreneurs' political skills and entrepreneurial performance and whether market dynamics positively moderates this relationship.

This study collected data from 454 technological entrepreneurs in Beijing, Shanghai, Hangzhou, Guangzhou, Zhengzhou in China and examined four hypotheses by hierarchical regression analysis and bootstrapping analysis in an empirical design.

Results reveal that technological entrepreneurs' political skills not only have a direct positive impact on entrepreneurial performance (β = 0.544, t = 12.632, p < 0.001), but also have an indirect positive impact on entrepreneurial performance through entrepreneurial networks (β = 0.473, t = 10.636, p < 0.001). Entrepreneurial networks play a mediating role between entrepreneurs' political skills and entrepreneurial performance with 95% bias-corrected confidence intervals [0.034, 0.015]. Market dynamics plays a moderating role in the relationship among technological entrepreneurs' political skills, entrepreneurial networks and entrepreneurial performance (entrepreneurial performance: β = 0.190, t = 4.275, p < 0.001; entrepreneurial networks: β = 0.135, t = 4.455, p < 0.001). When market dynamics is high, technological entrepreneurs' political skills have a significant positive effect on entrepreneurial networks (simple slope = 0.309, t = 7.656, p < 0.001); but when market dynamics is low, there is no significant correlation between political skills and entrepreneurial networks (simple slope = 0.039, t = 0.966, p > 0.05).

The study relies on self-reported data from single informants. Although the severity of common method bias is tested through two methods, future research designs should avoid the influence of common method bias. Future research should adopt a vertical tracking design, collect data from multiple sources and use subjective assessment and objective indicators to measure variables. In addition, the applicability of the results outside China is worth further empirical exploration. Therefore, the authors hope that future studies can replicate the research to different countries, different cultural backgrounds and different organizational sections to explore the generalizability of the results.

The findings provide useful suggestions for entrepreneurs, who can use political skills to build a strong entrepreneurial network to improve their entrepreneurial performance. The results also suggest that entrepreneurs should pay more attention to cultivating and developing their political skills through methods such as training and practice. In addition, the conclusion is of great implications to enrich the content of entrepreneurship education and guide entrepreneurship practice.

These findings enrich SIT and social capital theory by providing the empirical evidence of the effect of entrepreneurs' political skills on entrepreneurial performance through entrepreneurial network. They also provide deeper insights into market dynamics research by uncovering the moderating role of market dynamics in the relationship between entrepreneurs' political skills, entrepreneurial networks and entrepreneurial performance.

Effective knowledge integration is vital for decision making in interdisciplinary research (IDR) teams. However, there is a lack of knowledge about the antecedents of knowledge integration. This study aims to examine how social capital at different levels and their interaction influences knowledge integration in IDR teams. Specifically, this study explores the moderating role of team social capital in the relationship between individual social capital and knowledge integration.

A survey on 346 individuals from 46 IDR teams in a research university in China is conducted. A multilevel analysis of the hierarchical linear model is used to process the sociometric data.

Results reveal that team social capital interacts with individual social capital by influencing knowledge integration. At the individual level, tie strength and structural equivalence have a positive influence on knowledge integration. There is an inverted U-shaped relationship between betweenness centrality and knowledge integration. Furthermore, team cohesion negatively moderates the positive effect of tie strength and structural equivalence on knowledge integration. No support is found for the moderating role of team cohesion on the effect of betweenness centrality.

First, different from previous research on social capital at single levels, this study links the individual-level and the team-level views to explore the effects of social capital on knowledge integration. Second, this study enriches research on inducing factors of knowledge integration. Third, this study extends social capital research and knowledge integration research to the IDR team context.

The purpose of this paper is to understand e-loyalty in the travel industry. Specifically, this paper aims to examine the curvilinear relationship between predictors and e-loyalty.

An empirical study was conducted using an online survey with one of the largest travel companies in China. Structural equation modeling was used to test the models, and pair-wise nested F-tests were used to compare the models.

Results show that the curvilinear model has greater explanatory power of loyalty than traditional linear models. The results of pair-wise nested F-tests show that the loyalty model exhibits statistically significant R2 improvement compared to the linear model. However, the R2 improvement in the integrated model is not statistically different from that in the linear model. Confirmation and satisfaction are found to be salient factors influencing loyalty.

This study makes important contributions to the online community literature by understanding the drivers of loyalty in the travel industry. However, there are limitations. First, this study addressed member loyalty of an online travel community with data collected from one company. Thus, generalizability is limited. Online communities and firms may have different characteristics, resulting in different factors influencing consumer loyalty. The authors plan in the future to collect data from other online travel companies and examine their model with different samples so as to check the generalizability of the current findings. Second, the authors collected a snapshot view on loyalty. Both researchers and managers note that small changes in loyalty and retention can yield disproportionately large changes in profitability (Reichheld et al., 2000). Consumer loyalty may change over time, so to maintain and increase profits, it is important to monitor such change. In the future, the authors plan to conduct a longitudinal study of community members to evaluate their loyalty over time.

As China seeks to gain additional market share in the global tourism market, travel companies should make use of websites as a marketing tool to attract and retain customers. These actions enable a travel company to enhance its competitiveness. More and more people use the internet for tour deals, bookings and finding tour-related information. Effective use of websites can affect the competitiveness of ecommerce companies. E-vendors could assess and adopt the dimensions recommended in this paper to help better understand areas for improvement. It is common today for consumers to buy travel products online instead of going through a travel agent. Considering the importance of reciprocity in formulating consumer satisfaction and loyalty in the virtual environment, companies should monitor reciprocal behavior on the virtual community. With advancement in technologies, consumer behaviors have changed and more consumers prefer social interactions in the virtual world. Companies can analyze posts in the virtual environment to assess reciprocity and may design a mechanism to foster reciprocal behaviors. By leveraging reciprocity, firms can better connect satisfaction with loyalty. More than 70 per cent of executives surveyed by McKinsey (2012) said that they regularly generate value through their Web communities. In addition, to pay attention to consumer to consumer reciprocity in the virtual world, companies should listen to what customers say in their online community, as this attention is an indication of reciprocity between consumers and companies. The ideas and opinions expressed in the online community tell the company customers’ perception of the value of its products and customers’ needs. Such attention to the voices in the online community will help companies to better tailor products/services to meet customers’ needs. Furthermore, the voices expressed in the virtual community are also effective in developing and maintaining new internet marketing opportunities such as email marketing, giveaways, search engine optimization, pay per click and shopping comparison marketing. Companies interested in retaining and attracting customers should leverage their established virtual communities and pay close attention to online posts and evaluate members’ satisfaction. Such effort will provide tangible benefits. As shown in Ye et al.’s study, traveler reviews produce a significant impact on online sales (Ye et al., 2011), with a 10 per cent increase in traveler review ratings, boosting online bookings by more than 5 per cent. This finding suggests that businesses should link online user-generated reviews to business performance in tourism. Finding incentives for users to share might be one way to improve interactivity and further create stickiness on the part of the website.

This paper is one of the first studies to address the need to move beyond linear models of e-loyalty and to additionally examine potential curvilinear and interactive effects. This study also identifies key variables such as reciprocity and satisfaction as determinants of e-loyalty in the Chinese online travel and tourism industry.

Consumer adoption of shared products is a prerequisite for successful commercialization. The purpose of this paper is to explore what innovative characteristics of entity shared products can accommodate consumers' concerns and are likely to motivate adoption of consumers.

This paper used a conceptual model that combined the innovation diffusion theory and technology acceptance model to explore shared products adoption. It identified the direct and indirect effects of perceived app ease of use/online, perceived convenience of access/offline, perceived utility advantages and personal innovativeness on shared products adoption intention. Structural equation modeling was used for analyzing the questionnaire data from a sample of 479 users who used entity shared products such as shared cars, shared bicycles and shared power banks for mobile phones.

The empirical tests indicate that perceived utility advantages based on market innovation, perceived accessibility of usage rights based on technology innovation (including perceived app ease of use/online and perceived convenience of access/offline) and consumer personal innovativeness are the key factors affecting consumer adoption.

This paper constructs an innovation-adoption coupling model of entity shared products to understand shared products usage. The findings provide useful practical guidance for the design and development of shared products and “usage rights economy” business applications.

Singles’ Day Online Shopping Festival was originated in China and is characterized by gathering promotions to create consumer shopping atmosphere. Its rapid rise has affected Asia and the world, becoming the world’s largest shopping festival beyond Black Friday. The success of Singles’ Day Online Shopping Festival demonstrates Chinese experience of online shopping festive atmosphere marketing. The purpose of this paper is to explore the influence of Singles’ Day Online Shopping Festival atmosphere and Chinese cultural background, especially Confucian values, on Chinese consumers’ purchase intention in Singles’ Day Online Shopping Festival.

This paper conceptualized consumers’ most perceptive atmosphere characteristics as the three dimensions of perceived economic temptation, perceived festival entertainment and perceived mass participation. Taking Confucian values as moderators, based on the stimulus-response theory, this study constructed an influencing factor model of consumer purchase intention in online shopping festival, collected data of 398 Chinese consumers by questionnaire, and used structural equation modeling for hypotheses testing.

The results showed that online shopping festival atmosphere and Confucian values affect purchase intention; the two factors of “keeping face” and “listening to others” of Confucian values play moderating roles in the effect of online shopping festival atmosphere on purchase intention.

The sample of this study was biased toward the young and well-educated consumers; besides, this study focused on young consumers’ purchase intention of online shopping festival, rather than their actual consumption behaviors.

Confucian values have deeply influenced China and other Asian countries, especially East and Southeast Asian countries. Meanwhile they are the fastest growing regions of e-commerce in the world, the paper provides theoretical basis and reference for the e-commerce enterprises in the Confucian cultural societies to improve the atmosphere marketing of online shopping festivals, and attracts consumers to shop online, having particular significance in shedding light on the Asian “e-commerce Miracle.”

This study found that Singles’ Day purchase intention is dependent on online shopping festival atmosphere stimuli, Confucian values and their interaction. Marketing researchers should consider both online shopping festival atmosphere as a marketing tool and the influence of consumer cultural values, so as to help e-commerce platforms and e-commerce merchants establish shopping festival marketing strategies that suit consumers’ cultural values.

This paper addressed an interesting practical issue related to the effects of online shopping festival atmosphere stimuli and cultural values on consumer online purchase intention.

Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion effectiveness in social commerce.

The authors define a local social network as one formed by a focal seller, her directly connected users and all links among these users. Using data from a large social commerce website in China, the authors build econometric models to investigate how the density, grouping and centralization of local social networks affect the number of likes received by products posted by sellers.

Local social networks with low density, grouping and centralization are associated with more likes on sellers’ posted products. The negative effects of grouping and centralization are reduced when density is high.

The paper deepens the understanding of the determinants of social commerce success from a network structure perspective. In particular, it draws attention to the role of sellers’ local social networks, forming a foundation for future research on social commerce.

The purpose of this paper is to separate and purify flavonoids from glycyrrhiza by macroporous adsorption resin (MAR) mixed-bed technology.

The adsorption performance of MAR and MAR mixed bed for flavonoids was studied using ultraviolet-visible spectrophotometry.

The research shows that the MAR mixed bed of LZ-50+LZ-59 with a mass ratio of LZ-50:LZ-59(m:m) = 1:1 was the optimized combination with the optimal conditions of adsorption (pH = 6, T = 45°C) and desorption (liquid ratio R = 70%, T = 50°C, pH = 8) obtained, relatively.

This paper provides a novel way to separate flavonoids from glycyrrhiza. Under the optimal conditions, the adsorption rate (F) of MAR mixed-bed LZ-50+LZ-59 to the flavonoids was 62.5 per cent/g, the desorption rate (D) was 89.23 per cent and the purity was achieved at 80 per cent.