基于SWOT-AHP模型的西塘古镇旅游产业发展策略研究

西塘古镇素有"生活着的千年古镇"之名,其旅游产业的发展存在众多优势的同时也面临严峻内外部挑战。对影响西塘古镇发展的各因素进行SWOT定性分析,并在此基础上采用AHP定量模型分析限制和促进古镇旅游业发展因素,按照AHP分析结果,从域内景点布局升级优化、区位优势挖潜、过度商业开发控制以及文化与产业融合等角度提出了对应的改进策略建议。     

Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data

Online tourism has received increasing attention from scholars and practitioners due to its growing contribution to the economy. While related issues have been studied, research on forecasting customer purchases and the influence of forecasting variables, online tourism is still in its infancy. Therefore, this paper aims to develop a data-driven method to achieve two objectives: (1) provide an accurate purchase forecasting model for online tourism and (2) analyze the influence of behavior variables as predictors of online tourism purchases. Based on the real-world multiplex behavior data, the proposed method can predict online tourism purchases accurately by machine learning algorithms. As for the practical implications, the influence of behavior variables is ranked according to the predictive marginal value, and how these important variables affect the final purchase is discussed with the help of partial dependence plots. This research contributes to the purchase forecasting literature and has significant practical implications.     

疫情期间国际工程投标报价风险分析及费用计算方法研究

随着我国经济的快速发展和“走出去”、“一带一路”倡议的实施,越来越多的企业在政府的带动下开始进军国际市场,但是国际工程往往施工周期长、金额较大、技术复杂、政府干预较多、不确定性因素多,风险与机遇并存,针对2020年全球新冠病毒蔓延这一特殊的时期,企业更应在投标阶段做好风险分析、测算、管控工作,合理规避风险,总结经验教训,保证企业履约能力和竞争性。     

Comparing Compliance Behaviour of Students and Farmers. An Extra-laboratory Experiment in the Context of Agri-environmental Nudges in Germany

Increasing popularity of economic experiments for policy impact analysis has led to an on-going debate about the suitability of students to substitute professionals as experimental subjects. To date, subject pool effects in agricultural and resource economics experiments have not been sufficiently studied. In order to identify differences and similarities between students and non-students, we carry out an experiment in the form of a multi-period business management game that is adapted to an agri-environmental context. We compare the compliance behaviour of German agricultural students and German farmers with regard to water protection rules and analyse their responses to two different green nudge interventions. The experimental results reveal that the direction of the response to the policy treatments is similar. Even unexpected behaviour could be reproduced by the student sample. Nevertheless, the magnitude of the treatment effects differed between the two samples. This implies that experimenters in the field of agricultural and resource economics could use the subject pool of students to analyse the direction of nudge policies. If predictions should be made about the magnitude effects, we suggest using a professional subject pool.     

贫困山区农户茶叶生产技术效率及影响因素研究

基于湖北省382份茶叶种植户调研数据,采用随机前沿生产函数模型“一步估计”法分析贫困山区农户茶叶生产技术效率和影响因素。研究结果表明:样本户茶叶种植存在较大改进空间;样本户资本和劳动力投入剩余;茶园的海拔、树龄、茶农是否加入合作社、种植面积、户主是否受过种茶培训等因素对农户茶叶生产技术效率有重要影响。因此,提出紧抓乡村振兴战略机遇,推动贫困山区茶产业高质量发展;建立茶产业“三项补贴”,改善茶园基础设施条件;优化茶叶种植布局,提高合作社服务水平;成立茶产业发展基金,加快培育职业茶农,以提高贫困山区农户茶叶生产技术效率。     

Factors influencing consumers' purchase decision-making in O2O business model: Evidence from consumers' overall evaluation

Online-to-offline (O2O) has become a rapidly growing e-commerce model worldwide, but the factors influencing consumers' purchase decision-making have not been examined well. After exploring the working mechanism of the O2O model, we extract eleven indexes of consumers' overall evaluation in the O2O model with Crawlzilla and R techniques. Social network analysis (SNA) is adopted to build social networks reflecting consumers' overall evaluation in the O2O model. Based on the modified social network and the extracted subgraph, this study (N = 768) reveals consumers' overall evaluation behavior patterns in the O2O model by calculating network density, central potential, edge betweenness. The results show that shoppers overall evaluate the eleven indexes, especially perceived product quality, online product price, promotion intensity, business reputation, and product brand, which reflects the significant associations between the indexes. Among all the eleven evaluation indexes, perceived product quality, online product price, and business reputation dominate consumers’ decision-making behavior. When making purchase decisions, consumers not only overall consider online product price, perceived product quality, and business reputation but also balance perceived product quality, business reputation, and promotion intensity. Finally, we make some suggestions on marketing strategy for e-commerce companies.     

基于社会网络视角的科研合作网络结构及特性分析——以战略性新兴产业领域为例

战略性新兴产业是近几年新出现的研究热点,对其科研合作网络的研究,有助于探究该领域的科研合作现状与发展趋势。基于社会网络分析方法,以中国知网(CNKI)作为数据来源,构建了战略性新兴产业领域作者合作网络、关键词共现网络、作者-关键词耦合网络及机构合作网络,对合作网络的结构及特性等进行了分析。结果表明:战略性新兴产业领域论文合著率基本呈上升趋势,但该领域整体合作仍较为松散,存在较多的小团体;合作网络具有小世界和无标度特性,具有较大影响力的节点作为合作网络的中心,影响着网络内的学术交流和科研工作的开展。     

Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic

Online reviews remain important during the COVID-19 pandemic as they help customers make safe dining decisions. To help restaurants better understand customers’ needs and sustain their business under current circumstance, this study extracts restaurant features that are cared for by customers in current circumstance. This study also introduces deep learning methods to examine customers’ opinions about restaurant features and to detect reviews with mismatched ratings. By analyzing 112,412 restaurant reviews posted during January-June 2020 on Yelp.com, four frequently mentioned restaurant features (e.g., service, food, place, and experience) along with their associated sentiment scores were identified. Findings also show that deep learning algorithms (i.e., Bidirectional LSTM and Simple Embedding + Average Pooling) outperform traditional machine learning algorithms in sentiment classification and review rating prediction. This study strengthens the extant literature by empirically analyzing restaurant reviews posted during the COVID-19 pandemic and discovering suitable deep learning algorithms for different text mining tasks.     

Microfinance and social capital formation- a social network analysis approach

The microcredit program has emerged as an important poverty alleviation strategy over the last three decades, and several studies have examined its economic impacts on the community well-being. However, far too little attention has been paid to the effects of micro credits on community social connection and solidarity. This paper aims to examine the application of Social Network Analysis (SNA) to explore the impact of the rural microcredit fund on community social capitals. In doing so, the data on interactions of four rural development groups' members before and after the microcredit project implementation were collected using participatory workshops in Neyzar village of Qom province in Iran. The data were analyzed by Ucinet software, and the socio-graphs were produced by the NetDraw application. The results show that, more people have been involved in the social interactions after the project implementation and there was statistically significant increase in density and decrease in centralization of cooperation network. Furthermore, there were no important distinctions in centrality of people with various educational levels before and after the project implementation. Overall, it can be concluded that, the microfinance initiative considerably promotes the community social capital and participation in the rural development activities. Moreover, the SNA techniques are applicable as an impact assessment tool to investigate changes in community social capital.     

归因偏差视角下旅游行为失范成因研究

游客旅游行为失范时有发生,威胁着旅游资源与环境安全。心理归因影响个体行为逻辑,归因偏差是解释心理归因的经典理论。本文引入归因偏差理论,采用实证方法探究旅游行为失范背后的归因偏差因素,为减少旅游行为失范提供心理学依据。研究发现,归因偏差能够引致旅游者心理认知偏差,后者直接引发和助推旅游行为失范。心理环境和群体心理对引致旅游者的心理认知偏差和行为失范具有显著作用,归因偏差成为旅游者弱化旅游行为失范结果的心理屏障,可激发或促进旅游行为失范的发生或持续。研究认为旅游地可从完善硬件监控、控制游客流量、强化失范行为负面教育、发挥在场监督作用等方式削弱归因偏差效应。