Mobile digital games are dominantly released under the freemium business model, but only a small fraction of the players makes any purchases. The ability to predict who will make a purchase enables optimization of marketing efforts, and tailoring customer relationship management to the specific user’s profile. Here this challenge is addressed via two models for predicting purchasing players, us...

Recent research has demonstrated that merely measuring consumers’ purchase intentions changes their subsequent purchase behavior. Several different alternative explanations have been proposed to explain why this “mere-measurement effect” occurs. However, these explanations have not been tested to date. The purpose of this paper is to test several competing explanations for why measuring intenti...

Research on online shopping has taken three broad and divergent approaches viz, human-computer interaction, behavioral, and consumerist approaches to examine online consumer behavior. Assimilating these three approaches, this study proposes an integrated model of online shopping behavior, with four major antecedents influencing online purchase intent: Web site quality, customer concerns in onli...

Examining two different changes in retail format, we show that consumers alter their purchase behavior when the retail context changes. In both settings, the change in purchasing behavior is consistent with the effect being driven by an interpersonal interaction between the consumer and the retail clerk. We therefore model the change in format as a “social friction” in which consumers may not p...

The advertising has a foremost and vital impact on purchasing behavior of consumers. With the growth of mobile phones industry in Pakistan, the need for effective advertising has raised. Most of times, advertisements do not have an impact on purchase behavior on consumers due to ineffectiveness. The basic objective of this study is to examine how much emotional responses are generated after wat...

This research studied the user behavior on online group buying services. In the research model, users’ behavior is represented by three dimensions, satisfactory, trust, and group buying intention. Satisfaction is hypothesized to have positive relationship with trust that will have positive impact on the purchase intention. Each of the three dimensions is divided into two constructs, one for pro...

Scholars have acknowledged the influence of personality traits on individuals’ behavior. However, effect (repetitive) online purchase behavior remains under-explored. This is a considerable deficit in knowledge because marketing paradigm has shifted its interest to examine strategies for attracting new buyers as well retaining existing customers. To further understanding this issue, paper attem...

This paper examines online product search and purchase behaviors of Generation Y. A survey of 116 undergraduate college students with questions regarding the types of products researched and purchased over the Internet, the type of information they looked for when researching the products, reasons for not purchasing products online, and reasons for returning products purchased over the Internet...

Recommender systems based on latent factor models have been effectively used for understanding user interests and predicting future actions. Such models work by projecting the users and items into a smaller dimensional space, thereby clustering similar users and items together and subsequently compute similarity between unknown user-item pairs. When user-item interactions are sparse (sparsity p...