Online brand community within the integrated marketing communication system: When chocolate becomes seductive like a person

This study proposes brand communities as an effective tool within the integrated marketing communication (IMC) system. The paper utilizes the Brand Concept Map quali-quantitative technique in order to represent and compare mental association texture within one group of non-members of a brand community versus one group of people engaged in the same community. Brand stimulus is Nutella (chocolate cream) which boasts a crowded and lively online brand community: Nutellaville. Results show that brand community is effective in terms of contribution, commonality, and complementarity within the IMC system. In particular, Nutella brand image within the online community participants is composed of some mental associations overlapping other communication tools (commonality), and by new mental associations (complementarity) referred to the brand image dimension named ‘brand as person’ (seductive, popular, reassuring); second, this anthropomorphism effect solves the issue of sense of guilt excited by chocolate (contribution).     

The impact of four CSR dimensions on a gaming company’s image and customers’ revisit intentions

The purpose of this study is to investigate whether perceptions of corporate social responsibility (CSR) initiatives affect casino customers’ corporate image as well as the customers’ behavioral intentions (i.e., revisit intentions), through the lens of Carroll’s corporate social performance model, stakeholder theory, and legitimacy theory. This study also examines the mediating effect of corporate image on the relationship between perceived CSR and behavioral intentions. An onsite survey was conducted with 596 casino customers in South Korea. The results revealed that ethical CSR had the strongest impact on corporate image, followed by economic and philanthropic CSR. Only philanthropic CSR had a significant and direct effect on behavioral intentions. Corporate image mediated the relationship between three types of CSR (ethical, economic, and philanthropic) and behavioral intentions. Companies can benefit from these findings by understanding how specific CSR initiatives can enhance corporate image and increase customer retention. This study advances the emerging field of CSR in the gaming industry.     

Perceived hygiene attributes in the hotel industry: customer retention amid the COVID-19 crisis

The COVID-19 pandemic has caused a crisis in the hotel industry worldwide, but few studies have suggested methods to retain customers. This study proposes hygiene management as a means to minimize the indirect damage from COVID-19 to the hotel industry. It identifies perceived hygiene attributes and explores their influence on hotel image, word of mouth, and revisit intentions. This study identifies and validates three types of perceived hygiene attributes through qualitative and quantitative methods. It uses structural equation modeling to validate hypotheses and concludes that there are significant relationships of influence between the proposed variables. This study provides important and meaningful insights into hotel image and customer behavior through perceived hygiene attributes.     

论鲁迅笔下封建社会的女性悲剧——以《祝福》中的祥林嫂为例

鲁迅《祝福》中塑造的祥林嫂这一形象,代表了旧式中国劳动妇女的共性,她们被封建礼教束缚、压迫,但不失反抗精神;同时也反映了当时中国社会对妇女的蔑视和欺压。像祥林嫂这样的下层女性,即便勤劳、善良、坚韧,但以她的身体从暴烈到干枯的经历实际上是对封建权力暴行的控诉。她在旧式中国不能争取到一丝尊严,不能得到作为一个人的起码的权利,取而代之的却是被践踏、被奴役、遭压迫、受欺凌。     

基于Aptina ASX340的倒车影像系统设计与实现

为了避免倒车过程中因视觉盲区可能出现的安全隐患问题[1][2],文章采用飞思卡尔单片机做主机,Aptina图像传感器ASX340[3]做从机,利用ASX340内部的OVERLAY位图叠加系统,设计了一种能够将倒车过程中实时的车辆尾部的影像,距离障碍物的安全距离,倒车轨迹路径等信息提供驾驶员倒车影像系统[9][10]。使用HYRes3_1、Imatest软件[4]测量了影像图像质量的主要因素。测量结果表明成像质量能够满足目前车厂的要求。     

一种SAR与可见光图像压缩感知融合增强方法

针对机载多传感器成像战场态势感知的问题，提出了一种合成孔径雷达(Synthetic Aperture Radar，SAR)与可见光图像压缩感知融合增强方法。该方法首先对SAR与可见光图像分别进行压缩感知测量，得到压缩测量值，然后通过基于局部权值的融合方法实现对压缩测量值的融合，再利用有序度最优分割法提取SAR图像的强散射目标，最后对融合测量值重建得到初步融合图像，初步融合图像通过目标对比度增强得到最终融合图像。对多组图像进行了仿真分析，视觉及数值结果表明该方法能显著增强融合图像的目标对比度，提升了图像纹理清晰度，较大程度降低了图像融合过程中的数据计算量。     

Exploring the green image of airlines: Passenger perceptions and airline choice

During the last few years there has been an increasing trend for companies to market their products or services as green or environmentally friendly as part of their corporate social responsibility. Few studies have analyzed the effects of this recent focus on the environment and its impact on airline passengers. Therefore, we examine passengers' general attitudes towards the green image of different airlines, perceived differences in eco-friendliness among these airlines, and effects on airline choice during booking. We also investigate how passengers' recent experiences with an airline affect perceived eco-friendliness of that airline. In addition we compare passenger ratings of airline eco-friendliness to those published by independent 3rd parties. Our findings show that the green image of airlines does influence airline choice during booking. We observed a passenger willingness to pay extra for a green image, however, not as much as their willingness to pay extra for amenities, such as additional legroom.     

Eco-positioning of airlines: Perception versus actual performance

To date there has been little research in air transport into the eco-positioning of airlines, that is, their environmental image relative to other airlines and how actual environmental performance relates to this eco-positioning. This paper identifies the environmental perceptions that passengers hold of twelve airlines and relates these perceptions to airlines' actual environmental performance, using load factors, aircraft age and the atmosfair Airline index as proxies for environmental performance. Based on a survey of over 600 passengers at Liverpool John Lennon Airport, the research analyses air travellers' perception of airlines from an environmental perspective. The results show that while there are significant differences in people's environmental perception of airlines, the eco-positioning of the airlines is not correlated to their actual environmental performance. The results support previous research findings in other industries that in many cases actual performance is less important than communicating environmental messages to the public in creating a superior eco-positioning.     

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。     

Social media bots and stock markets

This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.