基于区块链技术的建筑材料供应链质量数据安全共享方法

传统方法在建筑材料供应链质量数据安全共享中应用效果不佳，不仅数据误码率比较高，而且数据共享时延比较长，无法达到预期的数据安全共享效果。为此提出基于区块链技术的建筑材料供应链质量数据安全共享方法。利用区块链技术对建筑材料供应链质量数据属性加密，建立建筑材料供应链质量数据安全共享链，整合建筑材料供应链质量数据加密、解密程序，通过对用户身份验证实现对质量数据安全共享，以此完成基于区块链技术的建筑材料供应链质量数据安全共享。实验证明，设计方法的数据误码率在1%以内，数据共享时延在1s以内，具有良好的数据安全共享效果。     

基于模糊多属性群决策的维护方式选择研究

维护方式选择是维护管理中的重要工作之一,合理的维护方式既能达到保障设备的稳定运行,又能同时兼顾其它各个方面的要求。由于对维护方式的评价涉及多个部门、人员和属性,有些指标只是一个模糊的概念,因而采用模糊多属性群决策的方法对维护方式进行优先抉择。本文结合A公司的设备维护方式选择问题,尝试使用模糊多属性群决策折衷算法求解最佳的维护方式。     

经济开放与货币需求:国际金融风险及持币成本的测度

在中国开放经济体制下的基准货币需求模型中,本文将源于国际金融市场的持币成本设为遗漏潜变量,并构建特定的国际金融综合指数(CIFI)作为该潜变量的测度。借鉴机器学习与测度理论,本文利用对数误差修正模型提出了分步降维的CIFI构造算法,构造了长期CIFI和短期CIFI。结果表明,CIFI构造中的无监督降维步骤有助于减少高维金融数据中的冗余信息。实证分析发现,国际机会成本对中国货币需求具有规律性的前导影响,而在2007至2008年国际金融危机期间,央行的应急措施对长期CIFI所代表的非均衡冲击起到明显的阻截效果,对短期CIFI的影响基本是持续不变的。通过综合指数构造与宏观货币需求模型的算法连接,可以利用CIFI的构成结构从前导时间与影响强度两方面追踪冲击货币需求的国际金融风险的具体来源,这为宏观决策者监测国际金融市场提供了颇有规律的信息。在方法论上,本研究为如何利用模型监测国际金融市场影响宏观经济开辟了一条新路。     

Why Do They Keep Coming Back? The Effect of Push Motives vs. Pull Motives,and Attribute Satisfaction on Repeat Visitation of Tourist Destinations

We conjecture that attribute satisfaction, push motives and pull motives will be positively related to return visitation of tourist destinations. We also hypothesize that push factors will be stronger related to return visitation of tourist destinations than pull factors, both directly and indirectly as mediators of the relationship between attribute satisfaction and return visitation. In addition, we predict that age and gender will moderate the effect of push and pull factors on repeat visitation. Finally, we argue that push factors and pull factors will be mutually reinforcing. To test these hypotheses, we conducted an online survey of repeat tourists’ motives, and received 986 complete responses. Survey participants were randomly chosen from a group that met a series or qualifying questions. PLS-SEM analysis of the data showed that, as we hypothesized, attribute satisfaction and push motives were positively related to repeat visitation. In contrast, pull motives were not related to repeat visitation, either directly or indirectly, but did reinforce the effect of push motives; gender did not moderate either push or pull motives and age moderated only pull motives. We discuss the theoretical and practical implications of these findings.     

Exploring the male Chinese tourists’ motivation for commercial sex when travelling overseas: Scale construction and validation

Sex and tourism has long been understudied. Little is known about tourists' motivations for consuming commercial sex while travelling, and even less, if indeed anything, is known about that of Chinese outbound tourists in particular. Based on twenty interviews and two surveys with a sample of 534 male Chinese tourists who had engaged in commercial sex when travelling overseas in the previous 12 months, this study aimed first to explore why male Chinese tourists travelled overseas and purchased commercial sex, and second to construct a comprehensive scale for measuring male tourists’ motivations for overseas commercial sex. With acceptable reliability and validity, the measurement scale yielded in this study consisted of eight motivation dimensions labelled as socialisation, relaxation and escape, travel-related novelty, sexual desire fulfillment/excitement seeking, sex-related learning, sexual mastery, social prestige, and business/pragmatic purpose. Both the theoretical and methodological implications related to the developed scale are also discussed.     

Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri-environmental schemes

Attribute nonattendance (ANA) has received very little attention in the context of willingness to accept (WTA), although an increasing number of studies analyze the preferences of ecosystem service providers toward incentive-based schemes. We add to the understanding of ANA behavior by analyzing stated and inferred ANA in a choice experiment investigating farmers’ WTA for participating in agri-environmental schemes (AES) in southern Spain. We use mixed logit models, following Hess and Hensher for the inferred ANA approach. Evidence is found of ANA behavior for both stated and inferred approaches, with models accounting for ANA clearly outperforming those that do not account for it; however, we produce no conclusive results as to which ANA approach is best. WTA estimates are only moderately affected, which to some extent is consistent with the low level of non-attendance found for the monetary attribute. Stated and inferred approaches show very similar WTA estimates. Additionally, we investigate sources of observed heterogeneity related to ANA behavior by using a sequence of bivariate probit models for each attribute. Overall, our results hint at a positive relationship between ease of scheme adoption and nonattendance to attributes. However, further research is still needed in this field.     

Development and validation of a firm-level vertical and horizontal internationalization metric

The lack of valid and reliable measures of firm-level vertical and horizontal internationalization is impeding the development and testing of hypothesized relationships between these respective dimensions of internationalization and a range of important MNE characteristics, actions, and effects. Through a series of qualitative and quantitative studies using data collected from senior MNE executives (total N?=?3,146), we develop and validate a scale to measure both vertical and horizontal firm-level internationalization. Subscales for each type of internationalization prove to be unidimensional, reliable, temporally stable, and to have predictive, cross-cultural, cross-sectoral, and discriminant validity.     

Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model

Industrial heritage tourism has become increasingly popular in recent years. However, strategies for improving the industrial heritage tourism development-related performances are still an underdeveloped research topic academically. Therefore, this study’s purpose is to explore the feasibility performance-improving strategies using a hybrid-modified multiple attribute decision-making (MADM) based on the DEMATEL technique in constructing the influential network relation map (INRM) and in determining the influential weights of DANP. Then, the modified VIKOR method is combined with the influential weights of DANP, performance gaps were identified, and then the most effective strategies for improving tourism development-related performance at industrial heritage sites can be generated using INRM. Finally, an empirical real case study of a rehabilitated gold-mining site of Taiwan is used to demonstrate the effectiveness of the hybrid-modified MADM model. According to the results, the decision-makers should highly prioritize improving high-priority criteria such as ‘social usefulness’, ‘resource integration’, ‘destination policy and development’, ‘economic development’, ‘cultural links’, ‘cultural learning’, and ‘natural landscape resources’ in advance to successfully achieving the aspired performance levels. Additionally, this study suggests meaningful industrial heritage tourism performance improvement strategies that have been rehabilitated throughout the world.     

科技服务业产出测算：指标确立、数据收集与未来预测

科技服务业产出测算是对科技服务业产出数据的统计与分析，加强科技服务业产出数据的规范统计和应用分析可为我国政府调整产业政策提供重要数据支撑。以科技服务业产出测算为研究对象，结合学者观点、国家标准及各级政府相关产业政策，提出将分支产业作为初始指标的横向统计思路，构建科技服务业产出测算指标体系。在数据收集方面，强调要做好“收”与“填”两个基本工作；在指标确立和数据收集基础上，进一步提出未来预测的两种方法，以此作为科技服务业产出数据预测的初步探索；提出应从统一数据统计标准、完善数据调查与公开制度、加强数据资源开发3个方面建立健全我国科技服务业产出数据测量与管理体制机制。     

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.