Chasing the Next Fad: The Changing Nature of the IS Discipline

This research explores the changing nature of the IS discipline by focusing on academic job ads over the last 18 years to, in turn, show how we are preparing our students for jobs in the IS field. Three time periods are examined to see what topics were in need for IS departments. As expected, the skills requested have changed over time, but even with a current focus on “analytics”, skills such as Data Warehousing and Systems Analysis and Design are still in demand

Invited Paper: The Transition from MIS Departments to Analytics Departments

This paper takes a look backward while simultaneously looking to the future for MIS departments that are making the transition to Analytics departments. MIS has a long past of providing a base of skills supporting organizations. We examine this history as well as how the blending of MIS with business translator and modeling skills has led to the development of analytics programs and concentrations. While the transition to analytics has taken place in many MIS departments at least partially, the question is how long analytics will remain a focus and when will the next major shift occur

Information Quality of Commercial Web Site Home Pages: An Explorative Analysis

In the search for substantive relationships in the use of emerging technology, information quality is often difficult to assess. This research explores user perceptions of presentation, navigation, and quality of Web home pages for approximately 200 selected Fortune 500 companies across 10 industries. An instrument is developed to measure these constructs and is assessed for convergent and discriminant validity as well as reliability. Company Web home pages are clustered using 24 Web site features. Interpretations of the type of Web home page within a cluster are based on their characteristics. An explorative analysis is performed between types of Web home pages and user perceptions of these sites. This study provides empirical evidence of relationships between companies at different positions in the supply chain and the information quality of their Web home pages

Redesigning a sustainable English capstone course through a virtual student-faculty partnership

This collaborative essay between undergraduate students and a faculty member illustrates the importance of partnerships between students and faculty when redesigning courses. We ground this partnering in Students as Partner (SaP) praxis. SaP reinvigorates the faculty and student relationship as one in which both students and faculty serve as active agents in curriculum development, redesign, and assessment. In this essay, we introduce our partnership, locally ground our partnership, and highlight how we redesigned a sustainable English Department capstone course to include a cumulative, integrative assignment. Our partnership was not designed to lead to a quantifiable direct output (i.e., a publication or even a redesigned class); instead, our goal was to build community, to support each other, to learn, to write for ourselves and each other. We conclude by offering brief qualitative data on the effectiveness of our redesign efforts and how our approach may work as a model for redesigning courses in different contexts/institutions

Developing Criteria for Extracting Principal Components and Assessing Multiple Significance Tests in Knowledge Discovery Applications

With advances in computer technology, organizations are able to store large amounts of data in data warehouses. There are two fundamental issues researchers must address: the dimensionality of data and the interpretation of multiple statistical tests. The first issue addressed by this research is the determination of the number of components to retain in principal components analysis. This research establishes regression, asymptotic theory, and neural network approaches for estimating mean and 95th percentile eigenvalues for implementing Horn's parallel analysis procedure for retaining components. Certain methods perform better for specific combinations of sample size and numbers of variables. The adjusted normal order statistic estimator (ANOSE), an asymptotic procedure, performs the best overall. Future research is warranted on combining methods to increase accuracy. The second issue involves interpreting multiple statistical tests. This study uses simulation to show that Parker and Rothenberg's technique using a density function with a mixture of betas to model p-values is viable for p-values from central and non-central t distributions. The simulation study shows that final estimates obtained in the proposed mixture approach reliably estimate the true proportion of the distributions associated with the null and nonnull hypotheses. Modeling the density of p-values allows for better control of the true experimentwise error rate and is used to provide insight into grouping hypothesis tests for clustering purposes. Future research will expand the simulation to include p-values generated from additional distributions. The techniques presented are applied to data from Lake Texoma where the size of the database and the number of hypotheses of interest call for nontraditional data mining techniques. The issue is to determine if information technology can be used to monitor the chlorophyll levels in the lake as chloride is removed upstream. A relationship established between chlorophyll and the energy reflectance, which can be measured by satellites, enables more comprehensive and frequent monitoring. The results have both economic and political ramifications

Marketing fresh and specialty produce through cooperatives and collectives in Colorado with implications for cooperative education programming

June 2011.Includes bibliographical references

Rural Cooperatives Magazine, November/December 2011

Features - Why do members participate in ag co-ops?; Upward spiral; Shine a light; Crash course in cooperation; How co-ops do it; Co-ops saluted as ‘vital economic force’ at USDA event; Mission-driven marketing; Is ‘local’ enough?; Making the connectio