A Broader View of Relevance

The question of the relevance of MIS research to practitioners is part of the broader question of the match between academic research goals and the goals of constituents. We call for a broader conception of who those constituents might be, and the implications that has for the activities of MIS academics

Patterns of Change in Perceptions of Information Systems: A Longitudinal Case Study

When a firm makes a significant investment in an information system [IS], there will be pressure to measure user perceptions fairly quickly after the introduction of the system. Will perceptions be stable at that time? Galleta and Lederer (1989) showed that beliefs about an IS can be unstable, although they did so in an artificial environment in the context of instrument develop- ment. But how could we describe the change of user perceptions during the months following the introduction of a complex IS in a complex, functioning, real organization? This paper reports on a six month longitudinal study using four repeated measurements of user perceptions of an IS introduced throughout a comprehensive state University with approximately 14,000 students

A Decision Support System for Student Transfer Advising

Many students start their academic careers at community colleges. After a year or two, they transfer to a university to complete their undergraduate degrees. Students who make poor course selections at community colleges may find that some of their course credits do not transfer to the university programs of their choice. A decision support system was developed to help community college students (1) understand the structure of university undergraduate degree programs, and (2) identify community college courses that meet university requirements. The system is designed to be easy to use and attractive for the typical community college student. It was consiructed by a team of three undergraduate MIS students over the course of a single semester using a Windows-based hypermedia tool

Information Systems Research in the Nonprofit Context: Challenges and Opportunities

The nonprofit sector has become an important part of the U.S. economy, but Information Systems (IS) research in the sector has been limited. In this paper we attempt to motivate and organize IS research endeavors in the nonprofit context. We argue that the nonprofit sector presents not only new challenges but also numerous opportunities for IS research. We present a conceptual framework on the effectiveness of IS in nonprofits and illustrate how the framework can be used to identify the challenges and the opportunities. We also discuss how IS research in nonprofits can contribute to new understandings in IS in all organizations. Overall, we call for an increase in research efforts that will help better understand IS-related issues in the nonprofit sector

An Empirical Comparison of Consumer Innovation Adoption Models: Implications for Subsistence Marketplaces

So called “pro-poor” innovations may improve consumer wellbeing in subsistence marketplaces. However, there is little research that integrates the area with the vast literature on innovation adoption. Using a questionnaire where respondents were asked to provide their evaluations about a mobile banking innovation, this research fills this gap by providing empirical evidence of the applicability of existing innovation adoption models in subsistence marketplaces. The study was conducted in Bangladesh among a geographically dispersed sample. The data collected allowed an empirical comparison of models in a subsistence context. The research reveals the most useful models in this context to be the Value Based Adoption Model and the Consumer Acceptance of Technology model. In light of these findings and further examination of the model comparison results the research also shows that consumers in subsistence marketplaces are not just motivated by functionality and economic needs. If organizations cannot enhance the hedonic attributes of a pro-poor innovation, and reduce the internal/external constraints related to adoption of that pro-poor innovation, then adoption intention by consumers will be lower

The effect of information redundancy on sequence information extraction

No abstract availabl