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Full-Text Articles in Business
Modeling Information Technology Impacts In Clerical Work Environments, Brian D. Lynch, Robert P. Cerveny, G. Lawrence Sanders, Frank J. Krzystofiak, Fred E. Dansereau
Modeling Information Technology Impacts In Clerical Work Environments, Brian D. Lynch, Robert P. Cerveny, G. Lawrence Sanders, Frank J. Krzystofiak, Fred E. Dansereau
Journal of International Information Management
The industrialization of white collar work via information technology (IT) is a key indicator of the emerging post-industrial economy (Hirschhorn, 1988). A conceptual model linking clerical work environments to effective IT impacts such as IT utilization, IT's perceived ease of use and performance impact was developed and empirically tested. Underlying the model is the premise that clerical job structure is a facilitator of IT impacts (Weber, 1988). The results indicate that clerical job structure factors such as typing, composing or editing, and bookkeeping were significantly related to IT impacts in clerical work settings. A job holder's IT competence and top …
A Multidimensional Framework For Group Decision Support System Research And Design, Santosh S. Venkatraman
A Multidimensional Framework For Group Decision Support System Research And Design, Santosh S. Venkatraman
Journal of International Information Management
Groups are a fundamental and essential part of organizational decision making. A group decision support system (GDSS) attempts to use computer and communications technology to help a group make better decisions. In this paper, previous GDSS research is extended to develop a better framework for future GDSS research and design. Six situational factors are identified; group size, member proximity, task type, group environment, and group development stage; so that a given group decision making situation can be accurately described. To standardize the features across different GDSS, six different levels of GDSS features are also identified. The paper then presents a …
A Neural Network To Predict Civilian Unemployment Rates, Milam Aiken
A Neural Network To Predict Civilian Unemployment Rates, Milam Aiken
Journal of International Information Management
Forecasting national unemployment is one of the most important problems of modern economies, and most researchers have relied upon statistical techniques with their stringent data assumptions and low accuracy rates to predict changes in this macroeconomic data. This paper describes how a neural network using leading economic indicator data can help to predict civilian unemployment rates. Results show that the neural network provides superior estimates of rates one month into the future compared to multi-linear regression and two naive forecasting techniques.
An Empirical Evidence Of Determinant Attributes On Expert Systems Success, Ephrem Eyob
An Empirical Evidence Of Determinant Attributes On Expert Systems Success, Ephrem Eyob
Journal of International Information Management
Expert Systems, in the last decade, have become the target of tremendous positive interest as well as consternation by the information systems professionals and end-users. This study surveyed twenty organizations to examine empirically the level of expert systems user satisfaction and success of these systems as perceived by the respondents of the survey.