Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach

Customers post online product reviews based on their own experience. They may share their thoughts and comments on items on online shopping websites. The sentiment analysis comprises of opinion or idea process and process of sorting high rating reviews according to how well the product satisfies. Opinion mining is a technique for extracting useful data from large amounts of texts in order to use those to enhance or expand a company's operations. According to consumer evaluations, many of the goods aren't as good as they seem. It's common that buyers submit their thoughts on a product but then forget to rate it. The prior data preprocessing is more efficient to extract the features by CNN approach. This proposed methodology breaks down each user's rating prediction model into two parts: one based on the review text and other based on the user rating matrix with the help of CNN feature engineering. The goal of this study is to classify all reviews into ratings by SVM model. This proposed classification model provides good accuracy to predict the online reviews efficiently. For reviews without ratings, a further prediction of feelings is generated using multiple classifiers. The benefits of this proposed model are honed using helpfulness ratings from a small number of evaluations such as accuracy, F1 score, sensitivity, and precision. According to studies using the standard benchmark dataset, the accuracy of customized recommendation services, user happiness, and corporate trust may all be enhanced by including review helpfulness information in the recommender system.

The Effects of Unfulfilled Preferential Treatment and Review Dispersion on Airbnb Guests’ Attitudes and Behavior

In sharing accommodation business such as Airbnb, while the provision of personalized amenities and services may seem like good business, hosts should be aware of the potential unintended consequences when they are not able to deliver what they promise. The present research examines how expectation gaps created by guest reviews interact with different types of preferential services to subsequently affect consumer behavior in the peer-to-peer accommodation economy. Grounded in attribution theory, this study offers new insights on customer responses to unfulfilled preferential treatment. The results suggest that in the condition of utilitarian services (e.g., airport transportation), participants in the low dispersion condition exhibited more negative attitudes, a lower level of repurchase intention, and a decreased willingness to write an online review. Conversely, in the condition of hedonic services (e.g., perform a talent show), expectation discrepancy did not result in different consumer evaluations across the dispersion conditions.

Emotional Cues’ Effects on Grotesque Advertising

A growing literature is examining the potential of grotesque advertising. The aim of this study is to examine whether curiosity or boredom cues in a grotesque advertisement are more effective at enhancing brand attitude and how this effect is moderated by consumers’ construal level. Across three experimental studies, this research shows that a curiosity cue will be more effective among consumers with a high construal level, whereas a boredom cue will be more effective among consumers with a low construal level (Study 1 and an ancillary study, Study 2). Further, perceived fit (based on construal level) mediates these effects (Study 2). This study thus offers a fresh theoretical viewpoint on the efficacy of emotional advertising cues in enhancing consumer evaluations of grotesque advertising by investigating the moderating role of consumers’ construal level. These findings benefit marketers in developing effective advertising strategies featuring grotesque imagery.

How to decode the value-consequence-attribute relationship: the application of TISM and ANP techniques

Purpose This paper aims to facilitate positioning strategy formation by decoding the relationship between consumers’ desired values, service attributes and expected consequences. Design/methodology/approach Key informant depth interviews are followed by a questionnaire of self-cause-and-effect assessments. Total interpretive structural modeling (TISM) is used to identify hierarchical structures via pair-wise preference comparisons. The analytic network process (ANP) is used to compute relative weights to evaluate the overall image of identified alternatives. The feedback feature in the ANP is enabled to obtain objective assessments. Findings With the help of both TISM and ANP techniques, the hierarchical and interactive relationships among consumers’ desired values, expected consequences and service attributes are revealed in the context of international airline services. Research limitations/implications The approach presented can help organizations to identify which attributes influence consumer evaluations of a company/brand; obtain the hierarchical and interactive relationships among service attributes, expected consequences and desired values; assess consumer preferences toward identified service attributes; and obtain an objective assessment of the competitive landscape, which can facilitate the development of effective positioning strategies and associated tactics. Practical implications Organizations adopting the methods presented in this study can have a better understanding of the consumer value chain and deliver better customer experiences. Originality/value The current study provides an innovative application of the TISM in conjunction with a feedback-enabled ANP technique to address brand positioning challenges. Future studies may consider adopting the TISM-ANP method as a foundation whenever one attempts to explore the values-consequences-attributes hierarchy.

EXPRESS: Befriending the Enemy: The Effects of Observing Brand-to-Brand Praise on Consumer Evaluations and Choices

Consumers have grown increasingly skeptical of brands, leaving managers in a dire search for novel ways to connect. The authors suggest that focusing on one’s relationships with competitors is a valuable, albeit unexpected, way for brands to do so. More specifically, the present research demonstrates that praising one’s competitor—via “brand-to-brand praise”— often heightens preference for the praiser more so than other common forms of communication, such as self-promotion or benevolent information. This is because brand-to-brand praise increases perceptions of brand warmth, which leads to enhanced brand evaluations and choice. The authors support this theory with seven studies conducted in the lab, online, and in the field that feature multiple managerially-relevant outcomes, including brand attitudes, social media and advertising engagement, brand choice, and purchase behavior, in a variety of product and service contexts. The authors also identify key boundary conditions and rule alternative explanations, further elucidating the underlying mechanism and important implementation insights. This work contributes to our understanding of brand perception and warmth, providing a novel way for brands to connect to consumers by connecting with each other.

Feeling Connected to the Cause: The Role of Perceived Social Distance on Cause Involvement and Consumer Response to CSR Communication

Despite the importance of companies’ corporate social responsibility (CSR) efforts to support the issue of empowering women, little is known about which communication strategies are effective for a successful CSR initiative. This research investigated how CSR messages influences consumer evaluations of a CSR activity supporting women’s empowerment via consumers’ cause involvement by conducting two experimental studies. In Study 1, a 2 (CSR message type: in-group vs. out-group) × 2 (gender: female vs. male) online factorial experiment ( n = 140) was employed. The results indicate that consumers evaluated the CSR activity more positively when they were exposed to an in-group message than an out-group message. To increase the validity and explain the process by which CSR message types influence consumer evaluations of a CSR activity, Study 2 was conducted. Psychological distance manipulated by CSR campaign messages increased an individual’s level of cause involvement, which in turn influenced the individuals’ response to the CSR activities. Implications are discussed.