This study proposes novel hybrid social network analysis and collaborative filtering approach to enhance the performance of recommender systems. The proposed model selects subgroups of users in Internet community through social network analysis (SNA), and then performs clustering analysis using the information about subgroups. Finally, it makes recommendations using cluster-indexing CF based on...

Demand amplification, or the bullwhip effect, has been identified as contributing to increased uncertainty in the supply chain and hence poor performance in terms of increased costs, protracted lead-times and poor customer service levels. This paper shows the application of a simulation based improvement activity focussing on the ordering decisions within a supply chain. An example of a prelimi...

Adaptation to individual preferences of user’s personalization is a prominent challenge for the expansion of business application. One important factor that determines the quality of web-based customer service is the ability of a firm’s website to provide individual caring and attention. The main objective of this research is to verify the impact of customer’s information privacy concerns on fi...

Vodafone, an International mobile telecommunications company, has accumulated vast amounts of data on consumer mobile phone behavior in a data warehouse. The magnitude of this data is so huge that manual analysis of data is not feasible. However, this data holds valuable information that can be applied for operational and strategical purposes. Therefore, in order to extract such information fro...

The number of customer reviews that a product receives is growing at very fast rate. Customer reviews posted on the websites vary greatly in quality. In this paper, we make an attempt to assess a review based on its quality, to help the customer make a proper buying decision. The quality of customer review is assessed as most significant, more significant, significant and insignificant. A novel...

Collecting and grouping customer needs and constraints by similarity are essential steps in market-driven product development. This paper introduces an overall procedure to collect and structure customer needs and constraints with the emphasis on grouping customer needs by similarity. In particular, this paper applies a statistical methodology (Subjective Clustering) to test for an indication t...