Self-Aware Contextual Behavior Analysis for Service Quality Assurance Over Social Networks

Social media allows people to share their ideologue through an efficient channel of communication. The social dialogues carry sentiment in expression regarding a particular social profile, trend, or topic. In our research, we have collected real-time user comments and feedbacks from Twitter portals of two food delivery services. This is followed by the extraction of the most prevalent contexts using natural language analytics. Further, our proposed algorithmic framework is used to generate a signed social network to analyze the product-centric behavioral sentiment. Analysis of sentiment with the fine-grained level about contexts gave a broader view to evaluate and perform contextual predictions. Customer behavior is analyzed, and the outcome is received in terms of positive and negative contexts. The results from our social behavioral model predicted the positive and negative contextual sentiments of customers, which can be further used to help in deciding future strategies and assuring service quality for better customer satisfaction.

Self-Aware Contextual Behavior Analysis for Service Quality Assurance over Social Networks

Social media allows people to share their ideologue through an efficient channel of communication. The social dialogues carry sentiment in expression regarding a particular social profile, trend, or topic. In our research, we have collected real-time user comments and feedbacks from Twitter portals of two food delivery services. This is followed by the extraction of the most prevalent contexts using natural language analytics. Further, our proposed algorithmic framework is used to generate a signed social network to analyze the product-centric behavioral sentiment. Analysis of sentiment with the fine-grained level about contexts gave a broader view to evaluate and perform contextual predictions. Customer behavior is analyzed, and the outcome is received in terms of positive and negative contexts. The results from our social behavioral model predicted the positive and negative contextual sentiments of customers, which can be further used to help in deciding future strategies and assuring service quality for better customer satisfaction.

Profil Literasi Keuangan Islam Karyawan dan Nasabah Baitul Maal Wa Tamwil Daarut Tauhid Bandung

This study aims to determine the profile of Islamic financial literacy in employees and customers of Baitu-l-maal wa Tamwil Darut Tauhid Bandung. This research uses descriptive quantitative method with interval formula to determine the literacy level of the respondents. The data collection technique used a questionnaire to 121 respondents. The results of this study indicate that the profile of Islamic financial literacy among BMT employees and customers is moderate. The employee profile has an Islamic financial level of 0.76. The profile of the level of Islamic financial literacy shows that the level of behavior towards Islamic finance among employees is not in accordance with the knowledge and attitudes of employees in managing finances. The customer profile has an Islamic financial literacy level of 0.50. The level of customer Islamic financial literacy shows that the level of customer behavior towards Islamic finance is not in accordance with the level of customer knowledge and attitudes in managing finances.

An Exploratory Study of the Purchase and Consumption of Beef: Geographical and Cultural Differences between Spain and Brazil

Beef consumption and production in Spain and Brazil are different with the consumption of beef in Brazil being three times higher than in Spain. In addition, there are variations in the economic value of production and in the traceability system. Therefore, the aim of this research was to understand the purchasing and consumption patterns using the customer behavior analysis technique of focus groups, which analyzed motivations for the consumption of beef, classifying their preferences by the intrinsic and extrinsic attributes at the time of purchase. The key aspect of the consumption of beef, both for Spanish and Brazilian consumers, was personal satisfaction/flavor. Spanish consumers were more conscious than Brazilians of the beneficial and harmful qualities that meat provides. The presence of fat was the factor that most restricted intake in both countries. The most important intrinsic attributes for Spanish and Brazilian consumers were the visual aspects of the meat: color, freshness, and the quantity and disposition of fat. The most important extrinsic characteristics were the price and expiration date. Spanish consumers see packaged meat as convenient and safe, although it is considered by Brazilians to be over-manipulated. The traceability certification on the label provides credibility to the product for the Spanish but only partially for Brazilians.

Assessing the Pricing Persceptives of Motorcycle Product Attributes on Customer Behavior

In Indonesia, motorbikes dominated public transit, making motorcycle sales extremely competitive for a number of brands, particularly Honda and Yamaha. The goal of this research is to identify and assess the effects of pricing perspective qualities, brand advantages, media branding, promotions, after-sales guarantee, products, colors, and designs, as well as fuel consumption as motor product items on consumer behavior. Purposive sampling was used in this investigation, with a total sample size of 194 participants. Using SPSS software, descriptive analysis and multiple linear regression analysis were used to analyze the data. The findings show that Honda's products play a larger role in the execution of its marketing plans, accounting for 87.75 percent of the total, with Yamaha's quality accounting for the remaining 79.40 percent influenced by other factors. This shows that respondents choose motorcycles with the following criteria: Engine, Media Branding, Price, Advertising and Fuel Consumption affect consumer behavior to buy both Honda and Yamaha products.

Ways to Measure Loyalty of Service Users

The focus of this study was set on the empirical determination of the differences between the methods of measuring the loyalty of users of services. The research reviewed approaches to evaluating the loyalty of taxi service users in Ho Chi Minh (Vietnam), Moscow (Russia), and Novosibirsk (Russia). The goal implied the segmentation of service users depending on the patterns of conduct and giving advice on the development of loyalty programs. The novelty lies in grouping respondents by age and gender and determining the ways to measure their loyalty. The research findings imply that people under 30 tend to make a choice based on reviews of others. The study developed possible customer behavior models and options for actions depending on their satisfaction and loyalty. This matrix can be used for building a comprehensive strategy to increase the loyalty of their clients. Practical value of the study lies in the possibility of using the data obtained to model the behavior of consumers of different service types based on the proposed loyalty matrix.

Model of predicting customer behavior based on big data analysis technologies

The analysis of the available methods and models of formation of recommendations for the potential buyer in network information systems for the purpose of development of effective modules of selection of advertising is executed. The effectiveness of the use of machine learning technologies for the analysis of user preferences based on the processing of data on purchases made by users with a similar profile is substantiated. A model of recommendation formation based on machine learning technology is proposed, its work on test data sets is tested and the adequacy of the RMSE model is assessed. Keywords: behavior prediction; advertising based on similarity; collaborative filtering; matrix factorization; big data; machine learning