Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.     

Effects of augmented reality technology characteristics on customer citizenship behavior

In recent years, augmented reality (AR) technology has received considerable attention from academics and practitioners. Although AR technology has a bright side, its dark side has been relatively overlooked. Therefore, this study aimed to investigate the effects of AR technology characteristics on customer citizenship behavior via two conflicting mechanisms: customer immersion and customer fatigue. The study also explored the boundary conditions of customer experience. A total of 247 questionnaires were collected from customers who had prior experience of using IKEA's AR mobile shopping application. A structured model was analyzed using SmartPLS 3 and PROCESS Macro for mediation and moderated mediation effects. The study enriches the current knowledge on AR technology by demonstrating that AR technology can lead to customer citizenship behavior in relation to a brand's AR technology. Interestingly, customer immersion was found to positively mediate the relationship, but customer fatigue was found to negatively mediate it. Furthermore, customer experience was found to strengthen the positive mediation effect of customer immersion and weaken the negative mediation effect of customer fatigue.     

Are social media bad for your employees? Effects of at-work break activities on recovery experiences

Since social media has become a fundamental part of the daily activities of people, the purpose of this study was to explore social media use by focusing on job demands that may explain why employees perceive social media are vital for them at work. Further, this study seeks to understand how employees use social media at work to experience recovery. Questionnaires were collected from current frontline hospitality non-managerial and managerial employees in the United States. Structural equation modeling was employed to analyze data. Results of the study confirm that at-work break activities including social and non-media break activities can be a channel for employees to experience recovery and deal with job demands. Moreover, the results suggest that at-work break activities are an important mediator between job demands and recovery experiences. Social media break activities also moderated the mediation effect of non-social media break activities between job demands and recovery experiences.     

深化学科认知与构建中国特色社会主义政治经济学理论体系

对学科的认知包括认识学科内涵、学科性质与任务、学科发展进路等核心问题,关系到如何构建学科体系,是学科建设的重要内容。从深化学科认知的视角,中国特色社会主义政治经济学的学科发展与理论体系构建,要坚持几个重大原则,包括把中国特色社会主义政治经济学建立在历史唯物主义的基础之上;要以生产关系分析为核心来构建中国特色社会主义政治经济学的理论范式;坚持以人民为中心是中国特色社会主义政治经济学的本质属性;把共同富裕作为中国特色社会主义政治经济学的逻辑主线;以问题为导向研究新时代中国特色社会主义建设的重大理论与实践问题;《中国特色社会主义政治经济学》教材要体现学科的创新发展。     

基于主客视角的苏南传统村落旅游地乡愁的时间特征

“记得住乡愁”是乡村旅游和乡村振兴的重要内容。本文基于居民和游客视角,以苏南传统村落为案例地,探讨乡愁的时间特征。结果表明：（1）乡愁主体方面：相对暂居村落的外来人口,三代以上的世代居民对家乡乡愁情感更加强烈;出生在1950—1959和1960—1978年间的这两代游客较多成长在乡村,乡愁文化感知相对更高;离开家乡在外工作生活时间越长的游客在传统村落旅游时,其乡愁情感和乡愁记忆比起未离开家乡或离开家乡较短的人更加强烈。（2）乡愁触点方面：触发居民和游客乡愁的季节集中在秋天和冬天,天气集中在下雨和落雪时,时辰集中在深夜和傍晚时,节庆集中在春节、中秋节、清明节和家乡特有节日,假日主要集中在周末、寒假和“十一”国庆假期。（3）乡愁记忆方面：主客乡愁记忆都主要集中在童年,其次是青少年,最后是成年和老年;游客产生乡愁的频率比居民频率相对高。（4）乡愁载体回忆顺序：主客乡愁载体都会提到“家”和“乡”相关场所和空间,其回忆的顺序是家人、家、家乡和国家。文章最后总结了乡愁旅游开发的启示。     

Time preference and international trade

We first consider a closed model, where households' time discount depends on externality in consumption. We can prove that there is a unique steady state, which is a saddle point. Then we extend the model to a two‐country world, and derive the condition on the effects of consumption externality under which there is a unique free trade steady state with saddle‐point stability.     

东南亚国家社交商务与非本土节日消费行为分析——以中国春节为例

在世界范围内,中国春节越来越受消费者欢迎,特别是东南亚消费者会在社交商务中参加中国春节活动。然而,现实中却存在一个矛盾的现象,即一些东南亚消费者春节期间热衷于购买中国商品,而春节过后却抵制中国商品。实证研究发现,东南亚消费者并未完全从态度上偏好中国春节和中国商品,只是出于社交商务的需要才参与中国春节和购买中国商品。东南亚消费者可区分为文化杂食型和节日身份型两个细分市场。其中,文化杂食型消费者包容并喜欢多元文化,会长期偏好中国节日和中国商品;节日身份型消费者仅在中国节日期间会参与中国节日和购买中国商品。这样的结论对指导中国企业实践具有重要价值,首先,为更好地响应“一带一路”倡议,应树立中国品牌意识,在“一带一路”沿线国家培育偏好中国文化和产品的朋友圈,转变消费者态度;其次,为更好地实施“走出去”战略,应在国际市场进行文化杂食和节日身份的细分,对文化杂食型消费者以文化为纽带培育其长期稳定的消费习惯,对节日身份型消费者通过营销策划刺激其消费;其三,为成功进入东南亚市场,对在东南亚运营的社交商务,应侧重培育消费者亲中国文化与产品的态度,并增加其使用社交商务平台的愉悦感。     

城市基础设施与居民消费水平——基于线上线下协同的促进机制

优化城市基础设施对于提升居民消费水平具有积极意义。交通与通讯两类基础设施对居民线上、线下消费的影响存在差异。在普及网购的同时改善城市居民出行条件，使实体店在展示产品、现场体验等方面与电商形成互补，将有助于实现线上、线下渠道的积极互动。以2011—2016年全国近300个地级市构建的面板数据进行计量分析，验证了基础设施对居民消费的促进作用，并发现当前交通、通讯两类设施的交互作用主要体现为协同效应。进一步的研究表明，以完善基础设施支持线上、线下渠道共同发展，还能够适应居民家庭年龄结构变化的新特点。上述结论说明,以完善基础设施促成渠道协同，将对全面优化消费者体验、提升居民消费水平产生重要作用。     

COVID-19: The effects of job insecurity on the job engagement and turnover intent of deluxe hotel employees and the moderating role of generational characteristics

COVID-19 has caused an unprecedented crisis in all industries around the world. This study sought to verify that job insecurity, as perceived by deluxe hotel employees, significantly affects their job engagement and turnover intent and to determine the moderating effect of generational characteristics. The finding showed that perceptions of job insecurity had negative effects on the engagement of deluxe hotel employees. Also, employees’ job engagement can decrease turnover intent. The engagement of employees fully mediated the relationship between perceptions of job insecurity and turnover intent, and job insecurity caused by COVID-19 had a greater influence on Generation Y than Generation X in reducing job engagement, indicating that the negative impact of job insecurity is higher in Generation Y.     

大学生消费行为调查与分析

大学生是社会消费群体的重要组成部分,他们的消费行为特征受到越来越多人的关注。为了更好地了解大学生的具体消费行为,本文采取问卷调查的方式,以合肥师范学院在校大学生作为调查对象,进一步了解大学生的消费理念、方式以及水平、结构等。最后根据调查结果的数据分析,对大学生理性消费提出具体建议,以引导大学生树立正确的消费观念。