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.     

Unraveling the dynamic and contingency mechanism between service experience and customer engagement with luxury hotel brands

This study unravels the dynamic and contingency mechanism between service experience and customer engagement with luxury hotel brands by investigating a multi-step model linking these two variables, in which emotional attachment and relational quality constructs (i.e., brand satisfaction, brand trust, and brand commitment) act as a bridge, while customer involvement acts as a moderator. Based on a self-administered survey dataset of 249 international tourists who are customers of luxury hotel brands, partial least square structural equation modeling (PLS-SEM) is used to test the hypotheses. The results indicate that all proposed hypotheses are supported. As such, this study discovers and clarifies the nature and dynamic mechanism underpinning the co-creation and reciprocation process of customer engagement with luxury hotels. In particular, the positive service experience is found to contribute to customer engagement via emotional attachment and relational marketing. Furthermore, the moderating role of customer involvement in the luxury hotel setting is confirmed.     

国家级新区绿色增长能力建设影响因素分析

基于利益相关者理论，通过文献研究与实地调研，梳理了影响国家级新区绿色增长能力建设的主要因素，并应用Grey DEMATEL方法进行影响因素因果关系分析，在此基础上进一步剖析国家级新区绿色增长能力建设内在机理。研究结果表明：法律法规完善性是影响国家级新区绿色增长能力建设的根本性动力因素，同时，也是新区绿色增长能力建设内在机理的重要外在驱动力。此外，当地居民环境意识也是影响国家级新区绿色增长能力建设的重要结果性因素，而企业绿色管理实践、绿色技术进步与创新能力作为重要的关键性因素，对国家级新区绿色增长能力作用显著，是国家级新区绿色增长能力建设的重要内在驱动力。     

Dynamic DEA models with network structure: An application for Iranian airlines

Efficiency estimation of interdependent divisions within a company or assessing the interrelated processes in a production system provides insights for improving the operational performance. Recent developments in network data envelopment analysis (NDEA) models enable decision making units (DMUs) to be informed of inefficient processes within the system. The NDEA model assesses the processes of the system in a specific moment and ignores the dynamic effects within the production processes. Thus, without considering the temporal dimension of production processes, biased efficiency measurement will be obtained that provides misleading information to DMUs. For evaluating the performance of a DMU with interrelated processes during specified multiple periods, this paper proposes a relational dynamic NDEA (DNDEA) model which measures the efficiencies of the system and its internal processes over the time, simultaneously. To illustrate the capability of the proposed model, this study for the first time measures the efficiency of eight Iranian airlines in several periods connected to each other by carry over flows. The actual data is gathered in three periods from 2010 to 2012 and the results are compared with the dynamic DEA and network DEA models in the same time span.     

Trust and the tendency towards multi-unit franchising: A relational governance view

Previous research mainly focused on the agency-theoretical explanation of multi-unit franchising (MUF). The aim of this study is to develop a relational governance perspective of MUF by investigating the role of knowledge-based trust and general trust in franchisor's choice between multi-unit and single-unit franchising. Our data from the German franchise sector indicate that knowledge-based trust positively influences and general trust negatively influences the franchisor's tendency towards multi-unit franchising.     

基于灰关联分析的高校体育场馆利用评价研究

从社会效益和经济效益两方面出发,选取了影响高校体育场馆利用的主要指标,构建了体育场馆利用效益评价指标体系,并根据实际情况对所选指标进行了合理的量化。此外,利用AHP法确定了指标体系中各指标的权重。最后,提出了基于灰关联分析的体育场馆利用评价方法,为体育场馆量化评价提供了理论与数据依据。     

A grey decision and prediction model for investment in the core competitiveness of product development

Because enterprises do not disclose their internal specific cost information to the public and, moreover, every firm has its own product character and financial constitutions, it is difficult to offer fixed guidelines for investment decisions. Thus, an enterprise may be uncertain when required to choose the most promising set of possible investments.The goal of this research is to use a grey relation analysis and analytic hierarchy process (AHP) to probe the core product development and competitiveness of an enterprise from limited data and, furthermore, by constructing the grey model, GM(1,1), to validate the feasibility of this assessment of the core competitiveness and investment strategy. In this study, a precision mechanical manufacturer is taken as an example, and the forecast estimate from this method is compared to those of a linear regression and the actual values to demonstrate the feasibility of applying this methodology to investment decision making, hence, demonstrating the value of this research.     

美中贸易逆差与人民币汇率的灰色关联度分析

运用灰色关联度分析方法研究美中经常性贸易逆差与人民币汇率以及美国对华限制出口的相关关系,研究表明:人民币汇率与美中贸易逆差灰色关联度较小,显著小于与美国对华高科技出口限制因素的关联性.因此,不存在我国操纵汇率补贴出口企业保持对美国的贸易高顺差,美中贸易逆差主要是结构性逆差以及美国对华限制性出口政策的结果,人民币升值无益于美中贸易逆差的缩小.     

基于灰关联分析与D-S证据理论的多传感器雷达辐射源识别方法

本文涉及中国公司针对美国商务部裁决产自中国的罐装蘑菇构成倾销的司法审查的案件,文章对该案的基本案情、推理理由、法院判决进行了归纳,并就我国企业如何利用美国反倾销的司法审查的程序进行了简要评述。