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1.
This study focuses on customers' information-sharing behavior in the context of online brand advocacy behavior regarding hotel brands. We aim to explain hotel customers' online brand advocacy behavior through three-sided justice evaluations (i.e., justice for employees, justice for the self, and global belief in a just world), and their hotel satisfaction. Hypotheses are tested by using survey data acquired from 688 individuals on Amazon's Mechanical Turk (MTurk) through partial least squares structural equation modeling (PLS-SEM). The findings show that customers' perceptions of justice for the self positively affect their hotel satisfaction, perceptions of justice for employees and the global belief in a just world positively affect online brand advocacy behavior, and hotel satisfaction also positively affects online brand advocacy behavior. We expand current research efforts on online brand advocacy research and provide theoretical and managerial implications for the development of marketing and management research and practice.  相似文献   
2.
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.  相似文献   
3.
我国粮食产后损失情况概述   总被引:1,自引:0,他引:1  
本文系统分析了粮食产后各环节损失的原因及损失量,针对相关粮食损失原因及状况,提出了减少粮食产后损失的措施及建议,以期为我国实现节粮减损提供支持。  相似文献   
4.
In event studies, the now standard window of a few days may miss relevant price movements if the market’s reaction to the news announcement tends to be slow or if the initial reaction tends to be partially or wholly undone afterwards. We propose a parsimonious hybrid of splines and Almon lags to detect and classify various patterns of post-event reactions spread over many periods. The scheme can interact with one or more event characteristics (like deal size), and the resulting non-linear model can be estimated via maximum likelihood (ML).In our application, we study the returns pattern that follows takeover announcements by two leading serial acquirers, AB Inbev SA and Heineken. Our method confirms the presence of a drop-and-recovery pattern as reported in Doan and Sercu (2021), but the amplitude of the pattern shows no link with deal size. This last finding is not in line with the view that the pattern reflects a rise in uncertainty that is slowly resolved (Malatesta and Thomson, 1985).  相似文献   
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Automated content analysis of online travel reviews allows identification of topics of travelers' satisfaction, yet its domain is not well researched. We suggest that the Anna Karenina principle positing a greater variability of the factors leading to business failure as opposed to those leading to success can be applied to the domain of visitors’ reviews of historic and cultural attractions. The larger variability of issues in reviews of dissatisfied visitors is likely to result in limitations for automated topic modeling. We confirm our proposition using TripAdvisor reviews of the Terracotta Army museum in China, and validate the outcome with two additional sites. The study strongly suggests that application of unsupervised topic mining algorithms to negative reviews may be problematic and the results should be treated with caution. The main themes of dissatisfaction of visitors to all three sites are reported and practical implications for management of the attractions are discussed.  相似文献   
7.
新冠疫情的出现冲击了世界经济,从经济全球化和全球经济治理体系两个维度分析疫情对世界经济的影响以及世界经济未来走向,研究发现:(1)新冠疫情通过影响全球价值链、贸易投资和就业环境阻碍经济全球化进程,中美矛盾升级、原有治理体系规则未与时俱进和激进政策的不确定性对全球经济治理体系提出新的挑战;(2)新冠疫情强化了世界各国对人类命运共同体的认识,将人类命运共同体融入全球治理体系将是未来治理的重要趋势;(3)新冠疫情可能会使世界经济格局出现新的变化,而中国在此次疫情中高效率的抗疫举措将进一步提升自身在世界经济格局中的地位和参与度。  相似文献   
8.
构建以国内经济大循环为主的国内国际经济双循环的经济发展新格局,是党中央应对当前国际国内新形势提出的新的发展战略。供应链经济是实现经济双循环目标的重要抓手,而供应链金融则是供应链经济能否持续繁荣的重要保障。近年来,我国的供应链金融虽然有了较快的发展,但面对复杂多变的经济金融形势,特别是构建经济发展新格局的战略背景下,必须根据供应链经济变化新特点,扎紧供应链金融的风险敞口,设计好供应链金融的新布局,提升供应链金融在各项金融产品中的比重,加快供应链金融各项政策落地,以数字化为主要手段全面推动供应链金融生产能力的再释放,充分满足供应链经济发展的需求,发挥金融在供应链经济发展,特别是经济发展新格局构建中的重要作用。  相似文献   
9.
为实现大规模集成电路中的"自动布线问题",首先针对单层平面内通道自动布线问题使用A*算法,发现上下引脚连接线路发生路径冲突时,单通道自动布线问题无解.对多层数电路通道自动布线使用Floyd算法建模,分别对每层线路进行优化.构建基于遗传算法的A*目标函数最优化自动布线模型,来解决三维空间结构优化、系统整体布线距离优化以及金属线与通孔寄生电阻最小化问题.之后使用样本测例对建立的模型进行验证,提出新的解决路线.  相似文献   
10.
The role of social media in promoting sustainable attitudes is currently understudied. Underpinned by social learning theory, this study unveils the effect of social media usage and browsing on sustainable purchasing attitude, the underlying mechanism, and the boundary condition. Drawing on a sample of 693 experienced respondents analyzed using structural equation modeling, this study reveals that social media usage and browsing have a significant positive association. Both constructs significantly impact sustainable purchasing attitudes with complementary partial mediation of the drive for environmental responsibility. Further, trust in social media and perceived environmental effectiveness significantly moderate the relationships belongs to the browsing and drive for environmental responsibility. Contrary to the theorization, moderating constructs cannot substantially impact the proposed associations of social media usage. In this manner, the present research is innovative and provides valued knowledge to comprehend social media's role in encouraging sustainable attitudes.  相似文献   
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