An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability

With the expansion of urbanization caused by the growth of population and industrial activities, the urban/city and suburban areas are facing a variety of environmental threats. Although more research and urban policy has advocated and practiced the development of green infrastructure (GI) to support urban sustainable environment, the evaluation framework for the development of GI for promoting environmental sustainability is still insufficient. Moreover, the Analytic Hierarchy Process (AHP) commonly applied in published literature, makes an unrealistic assumption of independent relationships among dimensions/criteria in decision making for satisfying the real-world problem. Therefore, the purpose of this study is to construct the evaluation framework, including four dimensions and related ten criteria, using a new hybrid-modified multiple attribute decision-making (MADM) model for developing and improving the GI for promoting environmental sustainability. This MADM model is combined with three different methodologies of MADM, including the Decision-Making Trial and Evaluation Laboratory (DEMATEL) for constructing the influential network relation map (INRM) to explore the complex influential inter-relationships and DEMATEL based on Analytic Network Process (DANP) for determining the influential weights with the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) for evaluating and presenting improvement strategies for six different GIs. The empirical study indicates that DEMATEL and DANP Results suggest that decision-makers should pay more attention to the improvement of Design (D₄) and Materials (D₂) in terms of dimensions when utilizing the GI to promote environmental sustainability. Because these dimensions are enhanced, Species (D₁) and Energy (D₃) will be improved in synchronization. From the perspective of criteria, five are key core criteria and need to be focused on first: increasing the green coverage rate (B₉), utilizing sustainable materials (B₄), using ecological engineering (B₈), shaping species biodiversity (B₁), and reducing energy consumption (B₅). Modified VIKOR reveals that “grass swales” are a comparatively better choice among six GIs for promoting environmental sustainability toward achieving the aspiration level. Therefore, this MADM model is beneficial to provide a more convincing assessment framework and improvement strategies for the development of GI for promoting environmental sustainability. As a result, these modified MADM models can be shown more conveniently and reasonably than traditional methods such as traditional AHP or ANP method.     

Price and RevPAR determinants of Airbnb listings: Convergent and divergent evidence

This paper explores the performance determinants of Airbnb listings, analyzing three research questions. First, the study investigates the different effects generated by the antecedents on price and revenue; second, it ranks different groups of variables; third, it distinguishes between private rooms and entire homes or apartments. These research questions are addressed by analyzing Airbnb listings in Milan, a business city where the sharing economy is growing fast. In particular, the study will use the monthly data of all Airbnb listings in Milan recorded by AirDNA during the period from November 2014 to June 2019, which consists of 323,184 total observations. Some hedonic price models are calculated, adding the Shapley value approach. Empirical findings show some important differences between price and revenue determinants. Furthermore, listing type and size, along with location and seasonality, are by far the most important factors that explain performance differentials among Airbnb properties.     

装配式房建PC建筑的发展价值与发展方式

本文针对装配式房建PC建筑的发展价值与发展方式,采用理论结合实践的方法,先分析了目前我国装配式房建PC建筑的发展现状,接着探讨了发展装配式房建PC建筑的价值,最后探究了发展装配式房建PC建筑的方式。分析结果表明,装配式房建PC建筑是我国建筑史上的一次大变革,契合绿色、低碳、环保等新时代理念的要求,具有良好的发展价值。     

Perception value of product-service systems: Neural effects of service experience and customer knowledge

Digital trends in product-service system (PSS) development focus on developing win-win solutions for both companies and customers, particularly when considering human behavior issues. It is useful for the PSS provider to know the PSS value creation mechanism when customers are buying and utilizing a PSS, particularly in the service-dominant logic (SDL) and cognitive neuroscience perspective. This study solved the PSS implementation that satisfied the demands of both customers and manufacturers and the value cocreation mechanism during product and service configuration with the impacts of consumer learning and the service experience. The proposed neuroscience methodology is based on an ERP (event-related potential) experiment using PSS stimuli, representing the perception value creation process during customer decision making and the PSS configuration process. The effectiveness of the service experience is more important than customer knowledge during PSS value perception due to positive emotions with pleasant memories for the service experience and the conflicting cognition process of customer learning. The combination of service science and neurology may measure and observe human behavior and psychology through the brain science method and effectively solve the human factors in service science. The findings suggest a more objective and personalized understanding of PSS value perception, particularly the practical requirements of a resulted-oriented PSS and an application-oriented PSS.     

杭州湾都市圈利用FDI的地域差异分析及其对策研究

近年来外商直接投资(FDI)已经成为带动杭州湾都市圈出口增长,推动区域经济发展的重要因素。但由于各个地方利用外资的市场基础和投资环境的差异,杭州湾各个城市利用FDI很不平衡。本文通过运用因子分析的方法,对杭州湾都市圈利用FDI的水平进行综合评价,并提出了相对的对策建议,对促进杭州湾经济的平衡发展具有一定的现实意义。     

Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics,consumer readiness,and health consciousness

Drawing on the notion of parasocial interaction (PSI) and the social comparison theory, this experimental research examines how nutritionist video bloggers (vloggers) influence consumer compliance intentions toward healthy, weight-loss diets. Drawing on two samples (Mexican Americans and White Caucasians) and using structural equation modeling and mediation analysis, this research highlights vloggers’ credibility and physical attractiveness, but not homophily, as salient source characteristics that influence PSI, which in turn reinforces compliance intention. Moreover, consumer readiness, consisting of role clarity, ability, and motivation, serves as a partial mediator of the PSI–compliance intention relationship. Lastly, consumer health consciousness emerged as a significant moderator of the PSI–compliance intention relationship among White Caucasians, but not among Mexican Americans. The findings and their implications are discussed.     

Between a rock and a hard place: Seizing the opportunity of demanding customers by means of frontline service behaviors

Service businesses are increasingly facing more demanding customers as a result of a shift in power from the service providers' side to the customers' side. Related literature predominantly examines the negative side of this ongoing trend, while overlooking the positive side. The major aim of this paper is to examine how frontline employees — investment account managers — deal with the ongoing increase in customer demandingness. To address this, we draw on adaptability performance theory to test the facilitating effect of frontline employees' post-transaction service behaviors (SBs) — diligence, inducements, information communication, sportsmanship, and empathy — as a means of adaptation to higher levels of customer demand. Findings indicate that frontline employees adapt most of their SBs' intensities to match customers' demands. The results show that some SBs actually increase the effectiveness and efficiency of frontline employees' service performance, leading to an increase in customer value and satisfaction. Customer value is found as a mediator in some of the relationships between SBs and customer satisfaction. Contrary to the conception of the negative outcomes of customer demandingness, service firms need to consider taking advantage of customer demandingness by stressing the role of frontline employees in adapting to customers’ demands.     

Exploring the role of extrovert-introvert customers’ personality prototype as a driver of customer engagement: Does relationship duration matter?

Drawing on social exchange theory, the current study examines new drivers and their associated processes of customer engagement. In spirit, the study tests the direct and indirect impacts of the extraversion–introversion personality trait on customer engagement. The study takes into consideration the contingency role of time by testing the moderating role of relationship duration. Results demonstrate that the more extraverted customers are, the more they are likely to engage with service firms. Further, extraversion is positively related to customer–employee interaction, which in turn leads to more utilitarian and hedonic values perceived by customers. Both types of value, then, induce higher customer engagement behaviors in terms of customer referrals, knowledge sharing, and social-influence. Findings demonstrate that relationship duration moderates some of the examined relationships. The current study contributes to the literature by extending the knowledge on customer engagement's predisposition and social causes.     

利用改进特征金字塔模型的SAR图像多目标船舶检测

深度学习模型中的特征金字塔网络（Feature Pyramid Network，FPN）常被用作合成孔径雷达（Synthetic Aperture Radar，SAR）图像中多目标船舶的检测。针对复杂场景下多目标船舶检测问题，提出了一种基于改进锚点框的FPN模型。首先将特征金字塔模型嵌入传统的RPN（Region Proposal Network）并映射成新的特征空间用于目标检测，然后利用基于形状相似度距离（Shape Similar Distance,SSD）度量的Kmeans聚类算法优化FPN的初始锚点框，并使用SAR船舶数据集测试。实验结果表明，所提算法目标检测精确率达到98.62%，在复杂场景下与YOLO、Faster RCNN、FPN based on VGG/ResNet等模型进行对比，模型准确率提高，整体性能更好。     

河南省高铁经济发展研究及对策

高铁经济是加快中原经济区建设、实现中原崛起、河南振兴的重要保障。论文针对2014-2019年河南省高速铁路的发展状况进行调研分析,选取2014-2019年高速铁路营业里程与河南省国民生产总值统计数据,用回归分析法构建高铁营业里程和河南省GDP总量的回归方程。通过回归分析法,对比高速铁路带来的各指标的变化,分析高速铁路开通后对河南省经济的具体影响。