Network,knowledge and relationship impacts on innovation in tourism destinations

We combine network structure and firm-level relationship measures to explore the association between innovative behavior, firm position within the network of a destination, and the knowledge and relational trust characteristics of a firm's innovation-oriented relationships. We find current collaboration, shared knowledge and trust are associated with innovative behavior with partner firms, but that betweenness centrality indicates which partners are the most prominent innovators in a population. That is, relationship-level characteristics facilitate innovation partnerships, but network structure characteristics identify the most successful innovative partners. To theory, our findings contribute to efforts in the tourism, innovation and network literature to evaluate the differential effects of knowledge stocks and flows on innovation. For practice, our results suggest that promoters of innovation within a destination should leverage brokerage positions to improve the in-flow of ideas while encouraging the firms that share knowledge and trust to collaborate to apply those ideas.     

Residents’ support for red tourism in China: The moderating effect of central government

This study proposes and tests a model that incorporates two competing theories of political trust, institutional trust and cultural trust, to examine community support for “red tourism” development. Using data gathered from residents living in close proximity to Jinggangshan Scenic Area in China, this study examines the influence of authoritarian values, particularly as they relate to level of residents’ power, their level of trust in government, and their effects on support for “red tourism.” Findings suggest that trust in central government moderates the relationship between trust in local government and support. Future studies should utilize the institutional trust framework to assess residents’ trust in the local government and the cultural trust framework to assess trust in the central government.     

Efficiency,total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level

For global sustainability it is imperative to find a balance across the three main components of sustainable development which are the economic, social and environmental aspects. However, it is not a simple task to make these contexts compatible, usually because of economic pressures which transform them into opposed objectives. This framework occurs across several dimensions within society and the economy, where the agricultural sector is not an exception. The objective of this study is to analyse the efficiency, total factor productivity and returns to scale in an economic, social and environmental perspective in farms of the European Union (EU) regions through Data Envelopment Analysis (DEA) approaches. The research concerning the returns to scale will be complemented by the Keynesian models. Data obtained from the European Union Farm Accountancy Data Network (FADN) was considered. The results show that in maintaining or improving the levels of production in farms, it is often possible to greatly reduce, in some cases, the consumption of fertilizers and crop protection products. On the other hand, from a social perspective, some European Union regions are more generous in the salaries paid to farming workers and absorb more labour, which in a European context of unemployment, may be an interesting way to realistically look at and be engaged in the agricultural planning in a sustainable way, founding a balanced trade-off among the economic, social and environmental dimensions.     

Evolution of the international air transportation country network from 2002 to 2013

In this research, we analyze the evolution of the international air transportation country network from 2002 to 2013 with two perspectives: The network’s physical topology and the functional network with traffic information. Our analysis shows that the network is scale-free and has the small-world property. The evolution of triadic properties suggests that the network gears towards symmetric, transitive closure. We find that United States, Great Britain, and France are critical from both perspectives; Surprisingly, South Africa is particularly critical from topological point of view. Furthermore, topological and functional criticality are highly correlated to the GDP of a country.     

Hotel customers’ environmentally responsible behavioral intention: Impact of key constructs on decision in green consumerism

Since rapidly growing numbers of customers prefer environmentally responsible products, efforts to “green” hotel operations are becoming increasingly important. The study reported here was designed to investigate guests’ intention formation when selecting an environmentally responsible hotel. The intention was to extend the Model of Goal-directed Behavior (MGB) by integrating several essential variables (environmental awareness, perceived effectiveness, and eco-friendly behavior and reputation) in explicating customers’ eco-friendly behavior. Findings from the measurement model indicated that study variables included a satisfactory level of reliability and validity. Results from the structural modeling revealed that the proposed theoretical framework had a strong ability to anticipate intention; incorporated constructs that played a vital role in hotel guests’ decision formation; and identified attitudes and desires that acted as mediators. The role of established variables in the original MGB was redefined. Our model had superior prediction power over the MGB, accounting for guests’ environmentally friendly buying behavior accurately.     

Drivers of customer decision to visit an environmentally responsible museum: merging the theory of planned behavior and norm activation theory

The main goal of this research was to merge the theory of planned behavior and the norm activation theory into one model and test its applicability in an environmentally responsible museum context. A filed survey was conducted at museums. Structural equation modeling was used to test research hypotheses. Results of the structural model comparisons revealed that the prediction power of our integrated model was superior to that of the theory of planned behavior and the norm activation theory. The proposed relationships among research constructs were generally supported. The mediating role of study variables was established. Additionally, the salient role of personal norm and attitude in generating museum travelers’ pro-environmental intention was identified. Overall, there was a strong support for the proposed theoretical model.     

平台企业主导的创新生态系统稳定性研究：基于企业间网络关系视角

平台企业主导的创新生态系统作为一种特殊类型生态系统，是由平台主导企业提供基本创新架构并与其它相关企业及关联机构组成的网络组织，企业间网络关系是创新生态系统的本质特征。基于企业间网络关系分析平台企业主导的创新生态系统网络的成员、联系、结构及功能特征,讨论网络结构变量对平台企业主导的创新生态系统稳定性的影响，以山东省30个平台企业主导的创新生态系统为调研样本，通过问卷调查方式，对所提出的假设进行检验。数据相关分析和回归分析结果表明：强有力的创新生态系统主导企业、系统内伙伴企业密度、企业本地化以及企业异质性4个因素对创新生态系统稳定性具有显著正向影响；系统内伙伴企业互惠性和居间性与创新生态系统稳定性之间关系不显著。最后，基于研究结论，提出保持平台企业主导的创新生态系统网络稳定性的政策建议。     

军民融合社会关系网络对军民融合新创企业成长的影响

军民融合新创企业是推动我国国防建设和社会经济融合发展的重要力量，军民融合社会关系网络具有丰富的异质性资源，可以有效促进军民融合新创企业成长。借鉴社会网络理论，构建以关系深度、关系广度、关系高度为代表的军民融合社会关系网络、耦合共生与军民融合新创企业成长理论模型，通过对收集的304份军民融合新创企业问卷数据进行实证分析，结果发现：军民融合社会关系网络对军民融合新创企业成长具有正向影响；耦合共生在军民融合社会关系网络与军民融合新创企业成长间发挥中介作用；创业导向显著调节耦合共生与军民融合新创企业成长的关系。     

基于重大科技基础设施建设迈向一流大学的路径分析——复杂产品系统动态能力演化视角

科技强国和创新型国家建设越来越依赖于重大科技基础设施的支撑能力。当前我国高校承担重大科技基础设施任务大多处于在建阶段，符合高校特点的能力建设模式尚在探索中。通过对2007-2020年脉冲强磁场重大科技基础设施发展的纵向案例研究，建立复杂产品系统（CoPS）的动态能力演化分析框架，从技术能力和组织能力分析高校承担重大科技基础设施动态能力搜索—获取—转型的演化过程。研究发现，高校通过建立新型“举校”体制，发展自组织网络调动校内外组织和技术互补性资源，能够有效构建高校的复杂组织和技术能力，统筹提升科研成效、学生质量和教师质量，实现面向服务国家战略目标的转型，从而获得一流大学的持续竞争优势。