Compared to consumers' focus, in the past, on the functional aspect of fashion products, consumers recently tend to place more importance on their impressive and memorable experiences in purchasing process. As consumer's interest changes from functional aspects to individual experience in purchasing process, fashion brands try to convey the identity of the brand through creating favourable consumers' experiences. Therefore, this study explores the effect of individuals' aesthetic experiences with fashion brands' SNS accounts on their attitudes. More specifically, the study evaluates whether consumers enjoy the flow of fashion brands' SNS accounts and form purchase intentions through their aesthetic experiences and product placement. Through a survey, empirical testing was done to investigate the effect of the aesthetic experience on of flow and purchase intentions. The current study tests the interaction effect among perceived aesthetic experience, narrative images, and product placement employing 2×2×2 MANOVA. The findings herein reveal that the aesthetic experience affects flow and purchase intention, and that there is a statistically significant interaction effect between aesthetic experience, narrative images, and product placement.

The detection of products with manipulated reviews has received widespread research attention, given that a truthful, informative, and useful review helps to significantly lower the search effort and cost for potential customers. This study proposes a method to recognize products with manipulated online customer reviews by examining the sequence of each review's sentiment, readability, and rating scores by product on randomness, considering the example of a Russian online retail site. Additionally, this study aims to examine the association between brand awareness and existing manipulation with products' reviews. Therefore, we investigated the difference between well-known and unknown brands' products online reviews with and without manipulated reviews based on the average star rating and the extremely positive sentiment scores. Consequently, machine learning techniques for predicting products are tested with manipulated reviews to determine a more useful one. It was found that about 20% of all product reviews are manipulated. Among the products with manipulated reviews, 44% are products of well-known brands, and 56% from unknown brands, with the highest prediction performance on deep neural network.

Airlines can employ a variety of quality monitoring procedures. In this study, we employ a content analysis of 8 years of online reviews for Korean airlines in contrast to other international airlines. Online airline reviews are infrequent, relative to the total number of passengers - the number of reviews is multiple orders of magnitude lower than passenger volumes - and online airline reviews are, therefore, not representative of passenger attitudes overall. Nevertheless, online reviews may be indicative of specific service issues, and draw attention to aspects that require further study by airline operators. Furthermore, significant words and phrases used in these airline reviews may help airline operators to rapidly automate filtering, partitioning, and analysis of incoming passenger comments via other channels, including email, social media posts, and call center transcripts. The current study provides insights into the contents of online reviews of Korean vs Other-International airlines, and opportunities for service enhancement. Further, we provide a set of marker words and phrases that may be helpful for management dashboards that require automated partitioning of passenger comments.

The government-driven open data policies are on the rise to protect consumers from misunderstandings and monitor the companies. However, in contract-based industries such as insurance, the contract-inherent characteristics make information asymmetry between consumers and companies. Our paper focuses on insurance contracts where the contingency has high uncertainty of occurrence, and the clauses may incur high costs of reading. Given those contracts, we hypothesized that the contract's clear statement decreases customer dissatisfaction and lowers the number of complaints. To empirically support the claim, we collected customers' complaint documents of insurance companies and insurance contracts from 2005 until 2017. Our econometric models showed that clearer statements and words significantly reduce the complaints after controlling for firm-specific heterogeneity and time-specific heterogeneity. We identify that insurance companies' complaint ratio significantly differ depending on the insurance contract, including specific clauses and words.

This study focuses on a better understanding of the importance of risk perception in adopting Mobile Payment Systems (MPS) by conducting a systematic literature review. From the social science field (using Scopus and Web of Science database) articles were selected. Overall, forty-four significant pieces were determined using a systematic methodology. In addition to providing a summary of the most used theories used to address perceived risk in MPS this paper also investigates the definition for the perceived risk in MPS literature. The study is performed through the identification of dominant theories used to explain perceived risk in the literature. The article gives a thematic analysis of theories and the relation of perceived risk with behavioural intention. As far as we know, this is the first effort of its kind to give a holistic, systematic literature review in light of perceived risk in MPS. Consequently, it is a crucial first step in establishing a solid theoretical framework involving the constructs of perceived risk and laying the groundwork for future research in this area.

In this opinion article, we review the current streams of the information systems (IS) literature on crowdfunding and discuss how the literature has contributed to expanding our understanding of crowdfunding. Reflecting on the review, we propose avenues for future research to expand the existing knowledge on this impactful topic for the benefit of researchers and practitioners.

The study aims to explore the nature, drivers of BAE. In particular, how and why consumers engage with branded mobile apps. Since consumer engagement is a multi-dimensional and complex phenomenon, the authors took an interpretivist paradigm and used a grounded theory approach by interviewing 24 participants. The findings reveal that branded app engagement (BAE) is triggered by mainly three aspects, i.e., media characteristics (Privacy and security, customization, and convenience), brand-related aspects (brand image and product/service quality), and benefits sought (inherent and derived). More importantly, we uncover the underlying mechanism for each factor. Furthermore, the study explains the BAE process in its entirety from an app-centric perspective rather the brand powering the app. Thus, the study offers a fresh perspective and novel insights into the BAE process.

With many consumers being exposed to news via social media platforms, news organizations are challenged to attract visitors and generate revenue during visits to their websites. They therefore need detailed information on how to write articles and headlines to increase visitors' engagement with the content to drive advertising revenues. For those news organizations whose business model depends mainly on advertisements, rather than subscriptions, it is particularly crucial to understand what makes the website attractive to their visitors, what drives users to stay on the website, and what factors affect a user's exit decision. The current research examines individual news consumers' choices to find patterns of increase or decrease in user engagement relative to a variety of topics, as well as to the mood or tone of the content. Using clickstream data from a major news organization, the authors develop a user-level dynamic model of clickstream behavior that takes into account the content of both headlines and stories that visitors read. The authors find that readers appear to exhibit state dependence in the tone of the articles that they read. They also show how the topics expressed in headlines can affect the amount of content readers consume when visiting the news organization to a much larger degree than the topics expressed in the content of the article. Online publishers can make use of such findings to present visitors with content that is likely to maintain and/or increase their engagement and consequently drive advertising revenue.

Due to the differences between and distinct consumer perceptions of domestic and cross-border e-commerce (CBEC), e-consumer misconduct, which we call "cunning behavior," has emerged. This study examines cunning behavior in CBEC and compares e-consumer perceptions about environmental factors and their own personal traits using a vignette experiment and survey. The vignettes of this study were developed for three situations: illegal, deviant, and unethical behavior. Drawing on vignettes, we collected survey data and then examined the research model using the analysis of moment structure statistical tool. The results show that perceived benefit and past experience with CBEC are strong triggers for cunning behavior, while the ability to exercise self-control restrains this behavior. This study provides an understanding of why cunning behavior occurs in the CBEC context and describes different cunning behavior types.