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  • Author: Țichindelean Mihai x
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The Influence of Marketing Communication on the Consumer’s Buyer Behavior – A Relationship Marketing Approach

Abstract

The purpose of the paper is to identify the nature of the influence of a company’s marketing communication of the actual consumer behaviour. To achieve this purpose, the paper is structures in two parts; firstly, the recent literature regarding relationship marketing paradigm is reviewed and the value chain concept is presented. The second part contains a survey-based research which uses book-store customers as target unit. Sales promotion and advertising are used as input variables in identifying the variation in the client’s buying behaviour. Client behaviour was measured through three variables: monetary value spent by the clients within their last purchasing experience, buying frequency of the clients, and their buying intention.

Open access
Studying the User Experience in Online Banking Services: An Eye-Tracking Application

Abstract

Neuromarketing as research method contrbutes to understanding consumer behavior a step further than traditional marketing research. The aim of the current study is to explore the usability and cognitive understanding of banking services webpages. In this regard, the theoretical part of the article reviews the relevant literature related to neuromarketing as research method and the use of eye-tracker as research technique. Further on, a two-step research design was developed for studying the consumers’ attention and memory during and after viewing two Romanian banking services websites. The results showed that the way information is structured and presented on the webpages influence their usabiliy and cognitive understanding.

Open access
Forecasting Passenger Traffic for a Regional Airport

Abstract

The purpose of the present research is estimating the potential traffic for SIA (Sibiu International Airport, SBZ) for the year 2017. Predicting as accurate as possible the passenger traffic for a certain airport is an aspect of major importance for both the airport management and the airline companies. The theoretical quality of the forecasting models for air traffic of passengers is fundamental for obtaining the most accurate predictions. In this regard, a two-step process was used in developing the traffic forecasting model: (1) Identifying the proper regression model for traffic estimation based on the number of aircraft departures, and (2) Forecasting the number of aircraft departures for the current routes operated SIA. The predicted total passenger traffic overestimates the actual total traffic with only 2.4% and the actual total traffic without the transit traffic with only 1.42%.

Open access