Out-of-stock,sold out,or unavailable? Framing a product outage in online retailing

Terms, such as “out-of-stock,” “sold out,” and “unavailable” are commonly used by retailers to communicate a product or brand outage. Although these terms are technically equivalent, prior research on product outage and product scarcity suggest that they may be interpreted and processed differently by consumers. The present research investigated whether the manner in which a product outage was framed elicited different consumer behavioral intentions, attributions, and perceptions in the context of online retailing. Data were collected by means of an online experiment. The experiment incorporated a hypothetical scenario approach in which research participants were asked to react to a particular combination of treatment and blocking factors. Results demonstrated that ceteris paribus, framing a product or brand outage as “sold out” produces fewer negative product and website reactions than does framing it as “out-of-stock” or “unavailable.”     

Loyalty toward online food delivery service: the role of e-service quality and food quality

This study assesses the direct influence of food quality and e-service quality on customer loyalty toward online food delivery (OFD) service and its indirect influence through the mediation of customer satisfaction and perceived value. This study uses a survey of 405 OFD service customers from Bandung, Indonesia. By applying variance-based partial least squares to evaluate the proposed model, this study confirms the direct effect of food quality on online loyalty, but not e-service quality. Further, this study discloses the partial mediation role of customer satisfaction and perceived value on the relationship between both food quality and e-service quality on online loyalty toward OFD services.     

基于多维频谱地图的干扰规避

针对复杂电磁环境下卫星移动通信系统可靠通信需求，利用频谱地图多维数据呈现优势，提出了基于多维频谱地图的干扰规避方法。通过建立卫星移动通信系统波束、时隙、子频带、干扰强度等多维信息关联的频谱地图，利用数据挖掘方法对频谱可用情况进行预测，基于预测结果及用户QoS(Quality of Service)需求生成干扰规避策略，通过星地联合频谱资源调配实现系统干扰规避。该方法为卫星移动通信系统干扰规避提供了一种全新的思路，可提升卫星移动通信系统干扰防护能力。     

Do consumers care about CSR in their online reviews? An empirical analysis

This research investigates how consumers assess hotels’ corporate social responsibility (CSR) practices when writing online reviews. The study explores the CSR discourse in online reviews over a 10-year period, highlighting how CSR’s social and environmental dimensions relate to the main hospitality topics (experience, amenities, location, transactions, value). Based on a longitudinal automated text analysis covering 480,000 reviews across six European cities, the findings reveal that hotel customers have gradually begun paying more attention to CSR factors, particularly to social and environmental ones. However, the aggregate results suggest that the overall CSR consumer discourse is still very limited, although it does have important implications in terms of consumer emotions and hospitality dimensions.     

Cultural Differences in Online Community Motivations: Exploring Korean Automobile Online Brand Communities (KAOBCs) and American Automobile Online Brand Communities (AAOBCs)

To gain a better understanding of online brand communities, this study has examined why people joined in online brand communities and whether there were some differences in the motivations of Internet users based on different cultures. Open-ended questions were asked to the community members from both South Korean Automobile Online Brand Communities (KAOBC) and American Automobile Online Brand Communities (AAOBC) in the first stage and then generated and utilized an online survey for the study. The study found that KAOBC members tended to have a stronger social network, business, and communication motivations than AAOBC members. As a primary motivation, information seeking is the strongest motivation for members of both KAOBC and AAOBC. They had a similar level of information motivation.     

An intelligent and secure system for predicting and preventing Zika virus outbreak using Fog computing

Zika virus is a mosquito-borne disease that spreads very quickly in different parts of the world. In this article, we proposed a system to prevent and control the spread of Zika virus disease using integration of Fog computing, cloud computing, mobile phones and the Internet of things (IoT)-based sensor devices. Fog computing is used as an intermediary layer between the cloud and end users to reduce the latency time and extra communication cost that is usually found high in cloud-based systems. A fuzzy k-nearest neighbour is used to diagnose the possibly infected users, and Google map web service is used to provide the geographic positioning system (GPS)-based risk assessment to prevent the outbreak. It is used to represent each Zika virus (ZikaV)-infected user, mosquito-dense sites and breeding sites on the Google map that help the government healthcare authorities to control such risk-prone areas effectively and efficiently. The proposed system is deployed on Amazon EC2 cloud to evaluate its performance and accuracy using data set for 2 million users. Our system provides high accuracy of 94.5% for initial diagnosis of different users according to their symptoms and appropriate GPS-based risk assessment.     

Online Group-Buying of Tourism Products: Effects of Value and Trust on Site Attachment,Altruism, and Loyalty

Although online group-buying is increasing rapidly, little theoretically based research has been conducted on behaviors of online group-buyers of tourism products. Thus, the purpose of this study is to develop and test a theoretical model examining the relationships among value, trust, site attachment, altruism, and loyalty in the context of online group-buying of tourism products. The results indicate that the six hypothesized relationships among value, trust, site attachment, altruism, and loyalty are significant and thus validate the theoretical model. The findings of this study provide theoretical and practical implications for academics and managers of online group-buying sites.     

Trends and Future Directions in Online Marketing Research

Over the last decade, the increased adoption of the Internet in public life as well as in developing businesses has led to a phenomenal rise in academic research on online marketing. This article is set to extensively review scholarly articles appearing from 2000 to 2014 on the topic from 10 top-tier academic journals to understand the research trends in the domain. A literature review has reported eight major subjective categories with an analysis of online marketing effectiveness framework. This review found three most significant subject categories: (1) online marketing issues; (2) Internet usage, perception, and attitude; and (3) online shopping and e-commerce. Additionally, some new online marketing research topics such as word-of-mouth, user-generated content, and social network are also highlighted. Finally, a selection of research topics that got the maximum attention of researchers is presented along with discussion of the future research directions in the online marketing space.     

E-Shopping Patterns of Chinese and US Millennials

A conceptually based taxonomy of 22 distinct forms of e-shopping vehicles is proposed. A modification of the UTAUT and UTAUT2 models is introduced to explain how vehicles are interrelated in regard to consumer reliance upon them for their e-purchasing. A survey of over 1,000 millennial university students, 697 Chinese and 306 US, revealed strong support in both samples for the hypothesized six dimensional pattern underlying consumer vehicular reliance. Further, differences between Chinese and US samples lay not in the nature of the dimensions, but rather in the strength of reliance upon each dimension. Thus, the study demonstrates the utility of the concept/measure of shopper vehicular reliance, VPR (Vehicle Purchasing Reliance) for both practitioners and scientists. In cross-national comparisons, observed differences between samples in strength of reliance supported four of five hypotheses predicated on previously established national distinctions a) in trust and b) in the cultural value of individualism-collectivism.     

Identification of Web User Segments Based on Beliefs about Online Ads

Online advertising has been one of the fastest growing industries worldwide, due to the increased number of Internet users. From the perspective of marketing management, identifying the profile of web users who click online ads will enable designers to create better online advertising campaigns. Hence, the main objectives of this article are (1) to segment web users based on their beliefs about online ads, (2) to identify personality traits of each segment, and (3) to investigate attitudinal and behavioral differences across segments about online ads. Data were collected through an online survey and by using cluster analysis, web users were segmented into three groups based on their beliefs about online ads: “Supporters,” “Neutrals,” and “Opponents.” Personality trait differences as well as attitudinal and behavioral differences among three segments were examined and significant differences were found in terms of their personality traits, such as variety seeking, market mavenism, and innovativeness.