Tourists’ characteristics in relation to expectations, satisfaction and loyalty in hotel industry

Objective: This paper makes an effort in combining the hotel subsector with a specific geographic location and with three determined constructs. Methods: This article uses a unique individual level dataset collected in Spain hotels and attempts to shed more light on three phases of consumer evaluation: expectations, satisfaction and loyalty. In order to relate the evaluation scores in these areas to sociodemographic characteristics of the consumers, we employ regression analysis. Results: The results show that all dependent variables in hand are related to explanatory variables; often in directions assumed by theory or previous empirical studies. Specifically, we find that age, economic status and country of origin are statistically significantly related to consumer evaluation. One of the novelties of our study is inclusion of “exceeded expectations” variable that intends to measure positive or negative surprise with the service. Conclusion: The knowledge of the existence of incidences of demographic variables on satisfaction, loyalty and expectations could not only, but should, lead to the formulation and implementation of differentiated strategies, segmented according to groups of individuals, focused on improving these indicators, adapting services to the demographic characteristics of the clients.

I think I like this: assessing conscious versus subconscious wine taste responses using neuroscientific techniques

Purpose This methodological paper aims to demonstrate the potential benefits of using consumer neuroscientific methodologies to measure consumers’ subconscious responses when consuming wine during a taste experiment. By comparing conscious and subconscious evaluations during a tasting experience this study illustrates how this methodology offers a more nuanced understanding of the consumer evaluation of wine during a consumption experience. Design/methodology/approach The research made use of a single-case taste test experiment whereby a wine expert blind-tasted 20 white wine varietals. Throughout each tasting, subconscious responses were measured using electroencephalography (EEG), combined with conscious measures of stated preferences using a questionnaire. Findings Stark differences were observed between the results of the conscious and subconscious wine evaluation measures, underscoring the complex nature of consumer decision-making and preference development. This study practically demonstrates the use and value of EEG as a consumer neuroscientific methodology in a wine marketing context. Originality/value This paper demonstrates the value of neuroscience techniques in identifying differences in the conscious and subconscious wine evaluation measures. This study practically demonstrates the use and value of EEG as a consumer neuroscientific methodology in a wine marketing context.

Statistics Analysis and Visualization for Big Data of E-commerce Platform Sales Evaluation

With the rapid increase in the sales scale of e-commerce platforms is accompanied by the rapid growth of consumer evaluation data on commodities at the same time. How to use big data analysis and visualization technology to mine the valuable information in the massive consumers evaluation data is an urgent issue in promoting the development of e-commerce platforms. However, the amount of e-commerce evaluation data is huge, growing fast, and mostly unstructured data, which is typical big data. In order to efficiently realize the visualization of e-commerce evaluation big data, this paper proposes an end-to-end four-layer framework for data visualization system. The data acquisition layer uses the Webcollector crawler to crawl a total of 420,000 mobile sales evaluation data on the JD website and stores them in the MySQL database; The data import layer uses the Sqoop tool to import MySQL data into the Hadoop platform; The data processing layer uses HDFS and MapReduce to process and analyze big data; The visualization implementation layer uses Jsp+Servelet+JavaScript+echart integrated technology to visualize the big data of distribution of mobile phone sales, user purchase impressions, and user mobile phone portraits. Which helps consumers choose their favorite mobile phones conveniently, and provide decision-making support for e-commerce companies to more accurately launch products, benefiting both parties