AIMC Topic: Consumer Behavior

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Development of interval-valued fuzzy GRA with SERVPERF based on subjective and objective weights for evaluation of airline service quality: A case study of Korea low-cost carriers.

PloS one
As the airline industry has become ever-more competitive and profitability more tenuous, airline service quality management has grown more important to airlines. Although many studies have focused on the evaluation of airline service quality, some co...

A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis.

Computational intelligence and neuroscience
Customer retention is invariably the top priority of all consumer businesses, and certainly it is one of the most critical challenges as well. Identifying and gaining insights into the most probable cause of churn can save from five to ten times in t...

Optimization of goose breast meat tenderness by rapid ultrasound treatment using response surface methodology and artificial neural network.

Animal science journal = Nihon chikusan Gakkaiho
The aim of this study was to develop a prediction model on tenderization of goose breast meat by response surface methodology (RSM) and artificial neural network (ANN). The experiments were operated on the basis of a three-level, three-variable (ultr...

Development of a partial least squares-artificial neural network (PLS-ANN) hybrid model for the prediction of consumer liking scores of ready-to-drink green tea beverages.

Food research international (Ottawa, Ont.)
In order to develop products that would be preferred by consumers, the effects of the chemical compositions of ready-to-drink green tea beverages on consumer liking were studied through regression analyses. Green tea model systems were prepared by do...

HRI usability evaluation of interaction modes for a teleoperated agricultural robotic sprayer.

Applied ergonomics
Teleoperation of an agricultural robotic system requires effective and efficient human-robot interaction. This paper investigates the usability of different interaction modes for agricultural robot teleoperation. Specifically, we examined the overall...

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students.

Journal of medical systems
This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an aud...

Robotic Telepresence in a Medical Intensive Care Unit--Clinicians' Perceptions.

Perspectives in health information management
BACKGROUND: Robotic telepresence has been used for outsourcing of healthcare services for more than a decade; however, its use within an academic medical department is not yet widespread. Intensive care unit (ICU) robots can be used to increase acces...

An assessment of the barriers to the consumers' uptake of genetically modified foods: a neural network analysis.

Journal of the science of food and agriculture
BACKGROUND: This paper studies which of the attitudinal, cognitive and socio-economic factors determine the willingness to purchase genetically modified (GM) food, enabling the forecasting of consumers' behaviour in Andalusia, southern Spain. This cl...

Assessment of surveys for the management of hospital clinical pharmacy services.

Artificial intelligence in medicine
OBJECTIVE: Survey data sets are important sources of data, and their successful exploitation is of key importance for informed policy decision-making. We present how a survey analysis approach initially developed for customer satisfaction research in...

Defining functional groups based on running kinematics using Self-Organizing Maps and Support Vector Machines.

Journal of biomechanics
A functional group is a collection of individuals who react in a similar way to a specific intervention/product such as a sport shoe. Matching footwear features to a functional group can possibly enhance footwear-related comfort, improve running perf...