Volume 1 Issue 1

More and more airlines are trying to show their customers their ability to understand their needs, the market trends and the importance of technology in their lives. In response to the rapid development of the consumer electronics, the airline companies focus their attention on offering their customers the possibility to book a flight or check-in using a smartphone, spend time watching movies or be connected to the internet during the flight. Customers search for airlines who are more ”tech-geek” and opened to new technologies, which allows them to rate the airline companies through apps or connect more often with the airline through social-media. Technology has become an important part in developing and marketing the airline services for a better quality, more customer-focused and for better flight experience which ultimately makes the difference when choosing to fly an airline company.

The purpose of the paper is to define and measure the customer engagement as a forming element of the relationship marketing theory. In the first part of the paper, the authors review the marketing literature regarding the concept of customer engagement and summarize the main models for measuring it. One probability model (Pareto/NBD model) and one parametric model (RFM model) specific for the customer acquisition phase are theoretically detailed. The second part of the paper is an application of the RFM model; the authors demonstrate that there is no statistical significant variation within the clusters formed on two different data sets (training and test set) if the cluster centroids of the training set are used as initial cluster centroids for the second test set.

To fully understand the pattern of choice, it is important that any explanation of consumer behavior to be accompanied by a complete understanding of the interplay between a consumer's functional goals and experiential preferences within the decision context. Consumer researchers have increasingly begun to investigate consumer choice based on distinctions that involve the purchase and consumption of goods for pleasure versus for more utilitarian and instrumental purposes. Consumers are often faced with these types of choices between hedonic and utilitarian alternatives that are at least partly driven by emotional desires rather than cold cognitive deliberations. This research approaches factor analysis and multiple linear regression in the context of 150 international respondents and their perception of hedonic and utilitarian motivators on likelihood to buy a tourism package.

E-shopping has the potential to replace traditional in-store shopping. It is well perceived that information and communication technologies have great impacts on modern society – they are changing how and where we work, shop, and in general terms how we live our lives. In this study, we use a survey instrument to examine the association between experience level with Internet and e-shopping and consumers' frequency of online purchasing, while considering sex as a passive influencer. We study these relationships in a multinomial logistic regression model that is aimed at online retailers to help them improve their understanding of their consumers' characteristics and propensity to buy through Internet retailing. Tracking the online journey of consumers will help enhance the attractiveness of this new retailing medium to current and potential customers.

As Internet use continues to increase, companies have to emphasize the understanding of the implications of its use on long term purchase behavior, in terms of satisfaction and loyalty. Ultimately, companies should be interested in consumer perceptions and the factors that play a role in following a certain behavior over an extended period of time. Attaining a successful marketing program compels companies to fully connect with their targeted customers. Therefore, this paper aims to propose a new model that examines relationships between cognitive – affective – conative constructs in an e-shopping environment.