Alireza Nili

A Framework and Approach for Analysis of Focus Group Data in Information Systems Research

A significant part of information systems research studies people as a part of a system, organization, network, or community. Since this research focuses on data related to the interaction of individuals, focus groups can provide data that cannot be obtained through any other method. However, compared with the abundance of handbooks and guidelines on how to plan and conduct focus groups, little methodological literature is available on how to analyze focus group data. In this tutorial paper, we provide a systematic and integrative approach for qualitatively analyzing different types of focus group data (e.g., group level content and interaction data) for information systems (IS) researchers. While we focus on IS research, our framework is also relevant to other applied business fields.

Investigating the correlation between customer retention programs of CRM and customer retention in e-banking context

In this study, considering different perspectives and concepts about customer relationship management (CRM), we try to investigate the significance of the correlation between each of the customer retention programs of CRM (loyalty programs, customer service, customization, and community) and customer retention. Data from 286 top bank managers of two governmental and two private Iranian bank branches were gathered in a field survey. The results of data analysis show the positive and significant correlation between each of the customer retention programs of CRM and customer retention. The study also finds the most significant correlation between customer service and customer retention.

The Intervening Role of Infrastructures in E-Learning Performance

Although many researchers have studied different factors which affect E-Learning performance, there is little research on assessment of the intervening role of infrastructures in E-Learning performance. This study proposes a conceptual model to determine the role of infrastructures in the relationship between E-Learning factors and performance. A questionnaire was completed by 96 respondents. This sample consists of teachers at Tehran high schools who are utilizing a technology-based educating method. Hierarchical regression analysis is done and its results strongly support the appropriateness of the proposed model and prove that infrastructure plays a moderating role in the relationship between E-Learning factors and performance. Also latent moderated structuring (LMS) technique and MPLUS3 software are used to determine each variable’s ranking. Results show that organizational infrastructure has the most important effect on E-Learning performance and teacher is the most important factor in E-Learning.