MANAGEMENT INFORMATION SYSTEMS CURRICULA: STATE-OF-THE-ART*

Business and business/management schools were surveyed to determine the characteristics of management information systems (MIS) curricula. All academic degree levels–Bachelors, Masters, and Doctorate–were investigated. An encouraging 82% response from 260 academic institutions queried lends credibility to findings reported. These survey results should provide insights for the development of new and/or revised MIS curricula. They also indicate opportunities for expanding enrollments. The MIS field, still in its infancy, has not yet stabilized. This is causing difficulties in planning curricula for this newly-evolving discipline. The MIS area within both the academic and business communities is undergoing constant and rapid change due to environmental and technological advancements. In order to insure curriculum relevance and properly trained personnel in this field, these areas must respond to these changes. Suggestions as to where and how this discipline should proceed must be based upon the currently existing situation.     

On the validity of MAPE as a measure of population forecast accuracy

The mean absolute percent error (MAPE) is the summary measure most often used for evaluating the accuracy of population forecasts. While MAPE has many desirable criteria, we argue from both normative and relative standpoints that the widespread practice of exclusively using it for evaluating population forecasts should be changed. Normatively, we argue that MAPE does not meet the criterion of validity because as a summary measure it overstates the error found in a population forecast. We base this argument on logical grounds and support it empirically, using a sample of population forecasts for counties. From a relative standpoint, we examine two alternatives to MAPE, both sharing with it, the important conceptual feature of using most of the information about error. These alternatives are symmetrical MAPE (SMAPE) and a class of measures known as M-estimators. The empirical evaluation suggests M-estimators do not overstate forecast error as much as either MAPE or SMAPE and are, therefore, more valid measures of accuracy. We consequently recommend incorporating M-estimators into the evaluation toolkit. Because M-estimators do not meet the desired criterion of interpretative ease as well as MAPE, we also suggest another approach that focuses on nonlinear transformations of the error distribution.     

Index

Abstract

A subject like “failure” seems an unusual focus for a journal. An e-journal by that name has made a niche for itself by examining some of the modern world's less successful ventures; its value comes from making the unsuccessful, interesting. Serials Review 2002; 28:53–56.     

Identification,Estimation, and Control of Uncertain Dynamic Systems: A Nonparametric Approach

This article is devoted to a presentation of the author' practice of the non-parametric estimation theory for the estimation, filtering, and control of uncertain dynamic systems. The fundamental advantage of this approach is a weak dependency on prior modeling assumptions about uncertain dynamic components. This approach appears to be of great interest for the control of general discrete-time processes, and in particular, biotechnological processes, which are emblematic of nonlinear uncertain and partially observed systems.     

Before,Now, and After: Assessing Hurricane Katrina Relief

We assess governmental and non-governmental responses to disasters using primary data of Hurricane Katrina survivors along the Mississippi Gulf Coast. Non-governmental sources include nonprofit relief groups, faith-based organizations, and survivors’ self-identified social networks. We assess the impact of these governmental and non-governmental relief efforts on survivors’ economic, psychological, physical, and social effects from the disaster. Our results show that social isolation significantly increases perceptions of disaster disturbance and decreases perceived rates of disaster relief. Additionally, survivors perceive that social networks provide greater sources of psychological, financial and social disaster relief than government sources. However, survivors’ social networks decay sharply in the immediate aftermath of a disaster, and they do not appear to fully recover a year from the disaster. These social networks themselves are not fully resilient to a disaster.

INFORMATION CHANNEL DISPOSITION AND USE*

The use of information channels by individuals in organizations is substantially discretionary. Although much studied, variation in patterns of discretionary use has yet to be explained adequately in terms of an accepted integrative theory validated across varieties of channel types and organizational settings. In a step toward the development of such a theory, the present paper proposes a basic channel-disposition model that relates an individual's attitude or disposition toward a channel to his/her actual use of the channel in the context of information and channel supply-and-demand structures in the organization. An exploratory study of the dispositions of 186 users of ten management information system (MIS) reports in four organizational settings provides limited evidence in support of the model proposed.     

Utility Subsidies as Social Transfers: An Empirical Evaluation of Targeting Performance

Subsidies to residential utility customers are important in‐kind transfer mechanisms in developing countries. Do these subsidies reach the poor? This article finds the average targeting performance of water and electricity subsidies to be similar to that of other social‐transfer mechanisms using the same targeting method. The most common form — a quantity‐based consumption subsidy aiming to subsidise low‐volume customers — is highly regressive. Many geographically‐targeted and most means‐tested utility subsidies are progressive, but still exclude many poor households. Connection subsidies are an attractive alternative in low coverage areas, but they will only reach the poor if utilities extend network access to poor households and if households choose to connect.     

The dynamics of specific and diffuse support for the U.S. Supreme Court: A panel study

Prior inconsistencies in studies regarding specific and diffuse support for the U.S. Supreme Court have largely resulted from confusing two related yet distinct concepts: the level of diffuse support at a given moment, and change in the level of diffuse support over time. The results of a panel study show that specific support is related to both concepts but in different ways. Overall approval of the Supreme Court positively influences the level of diffuse support at a given moment. However, an individual's reaction to a particular Court decision is mediated by pre-existing ideological tension between the individual and the Court, and can cause a sudden change in that individual's diffuse support level. Post-stimulus diffuse support regeneration within an individual is related to support for democratic norms, awareness of the Court, and satisfaction with other governmental institutions.     

An evaluation of the American Community Survey: results from the Oregon test site

The American Community Survey (ACS) is a Census Bureau product designed to provide accurate and timely demographic and economic indicators on an annual basis for both large and small geographic areas within the United States. Operational plans for Census 2010 call for ACS to replace the decennial census long form (Census LF), pending the results of evaluation studies. This plan represents a major change in that variables that traditionally have been collected on a “snapshot” basis once every 10 years would be collected on a “rolling” annual basis. Using a loss function analysis and other tools, this paper reports preliminary findings from a comparison of ACS and Census 2000 results in Multnomah County, Oregon, one of five national “local expert” test sites set up to compare ACS data collected at the time of Census 2000. The preliminary findings suggest that there are notable differences between some of the corresponding variables found in the ACS and Census LF that require more detailed examination. For example, the loss function analysis reveals notable differences for race and disability variables. In other comparisons of corresponding variables between ACS and Census 2000, differences are found within each of the four major areas of interest: (1) demographic characteristics, (2) social characteristics, (3) economic characteristics, and (4) housing characteristics, with housing characteristics showing the least similarity overall. These results also suggest that more detailed examinations are needed to understand differences between corresponding variables collected by ACS and the Census LF.