Research Naval Postgraduate School, v. 2, no. 10, September 2010

NPS Research is published by the Research and Sponsored Programs, Office of the Vice President and Dean of Research, in accordance with NAVSOP-35. Views and opinions expressed are not necessarily those of the Department of the Navy.Approved for public release; distribution is unlimited

The Distinct Effects of Information Technology and Communication Technology on Firm Organization

Guided by theories of management by exception, we study the impact of Information and Communication Technology on worker and plant manager autonomy and on span of control. We find, using an original dataset of American and European manufacturing firms, that better information technologies (Enterprise Resource Planning for plant managers and CAD/CAM for production workers) are associated with more autonomy and a wider span, while technologies that improve communication (like data intranets) decrease autonomy for workers and plant managers, consistently with the theory. Using instrumental variables (distance from ERP's birthplace and heterogeneous telecommunication costs arising from regulation) strengthens our results.organization, delegation, information technology, communication technology, the theory of the firm

Leveraging Market Research Techniques in IS – A Review of Conjoint Analysis in IS Research

With the increasing importance of mass-market information systems (IS), understanding individual user preferences for IS design and adoption is essential. However, this has been a challenging task due to the complexity of balancing functional, non-functional, and economic requirements. Conjoint analysis (CA), a marketing research technique, estimates user preferences by measuring tradeoffs between products attributes. Although the number of studies applying CA in IS has increased in the past years, we still lack fundamental discussion on its use in our discipline. We review the existing CA studies in IS with regard to the application areas and methodological choices along the CA procedure. Based on this review, we develop a reference framework for application areas in IS that serves as foundation for future studies. We argue that CA can be leveraged in requirements management, business model design, and systems evaluation. As future research opportunities, we see domain-specific adaptations e.g., user preference models