Purpose: The paper refers to a current discussion on the effectiveness and efficiency of Bielefeld University Library and concentrates on requirements and conditions of implementing customer intelligence in academic libraries. Moreover, a conceptual framework for a library management information system based on a data warehouse that links external and internal data to support strategic planning...

Electronic customer interaction involves encouraging the customer to spend time electronically in order to obtain sufficient information regarding the customers needs, preferences and requirements. This information is analyzed using a process such as data mining to extract knowledge about customer values. Customer values are, in turn, used as the guiding principle in the market-planning phase t...

Online consumers are known to be impatient. It is therefore critical for merchant websites to offer relevant recommendations quickly and with minimal customer input to their online visitors. Recommending pertinent items to first-time visitors, however, is particularly challenging. In this paper, we show how conjoint analysis can be leveraged to design a recommender system that elicits customers...

The assortment of products carried by a store has a crucial impact on its success. However, finding the right mix of products to attract a large portion of the customers is a challenging task. Several mathematical models have been proposed to optimize assortments. In particular, rank-based choice models have been acknowledged for representing well high-dimensional product substitution effects, ...

In this paper we present a recommender system using an effective threshold-based neighbor selection in collaborative filtering. The proposed method uses the substitute neighbors of the test customer who may have an unusual preferences or who are the first rater. The experimental results show that the recommender systems using the proposed method find the proper neighbors and give a good predict...

Retail companies operating in Lithuania are very important for the national economy. Domestic consumption has remained one of most drivers Lithuania’s economic development. The objective this article is to investigate customer preferences and identify selected factors shopping centers Vilnius, Lithuania. study Vilnius based on a complex model that integrates following factors: center goods serv...

Many companies collect stated preference data (SP) like intentions and satisfaction as well as revealed preference data (RP) like actual purchasing behavior. It seems relevant to examine the predictive usefulness of this information for future revealed preferences, that is, customer behavior. In this paper we address this issue by considering three case studies.

Value added services have become an important aspect of telecom operator’s profitability. However, while selling value added services, operator’s need to match promotions to specific consumers based on their individual preferences. Pattern association has emerged as one of the powerful tool that can help in identifying consumer preferences based on their historical services usage data. Based on...

Denise Rousseau of the Tepper School of Business at Carnegie Mellon University defines evidence-based management as “a paradigm for making decisions that integrates the best available research evidence with decisionmaker expertise and client/customer preferences to guide practice toward more desirable results.”1 Incorporating research evidence in decision making helps managers avoid such well k...