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Articles 1 - 15 of 15
Full-Text Articles in Business
An Application Of Rule-Based Forecasting To A Situation Lacking Domain Knowledge, Monica Adya, J. Armstrong, Fred Collopy, Miles Kennedy
An Application Of Rule-Based Forecasting To A Situation Lacking Domain Knowledge, Monica Adya, J. Armstrong, Fred Collopy, Miles Kennedy
Monica Adya
Rule-based forecasting (RBF) uses rules to combine forecasts from simple extrapolation methods. Weights for combining the rules use statistical and domain-based features of time series. RBF was originally developed, tested, and validated only on annual data. For the M3-Competition, three major modifications were made to RBF. First, due to the absence of much in the way of domain knowledge, we prepared the forecasts under the assumption that no domain knowledge was available. This removes what we believe is one of RBF's primary advantages. We had to re-calibrate some of the rules relating to causal forces to allow for this lack …
An Intelligent Data Mining System To Detect Health Care Fraud, Guisseppi Forgionne, Aryya Gangopadhyay, Monica Adya
An Intelligent Data Mining System To Detect Health Care Fraud, Guisseppi Forgionne, Aryya Gangopadhyay, Monica Adya
Monica Adya
The chapter begins with an overview of the types of healthcare fraud. Next, there is a brief discussion of issues with the current fraud detection approaches. The chapter then develops information technology based approaches and illustrates how these technologies can improve current practice. Finally, there is a summary of the major findings and the implications for healthcare practice.
Improving And Leveraging Your Forecasting Practice, Monica Adya
Improving And Leveraging Your Forecasting Practice, Monica Adya
Monica Adya
This issue of Cutter Benchmark Review takes a departure from our typical interests. As you know if you closely follow CBR, we focus on technology issues with either a technical or managerial angle. A recent example of the first approach is our July 2007 issue on agile project development (Vol. 7, No. 7), while an example of the second approach is the February 2008 issue on making and using business cases (Vol. 8, No. 2). Given the nature of our interest in information systems and their management, we often produce an issue that is at the crossroads of the technical …
Review Of Managing It Professionals In The Information Age By Eds. Pak Yoong & Sid Huff, Monica Adya
Review Of Managing It Professionals In The Information Age By Eds. Pak Yoong & Sid Huff, Monica Adya
Monica Adya
No abstract provided.
Expert Systems Construction, Victoria Yoon, Monica Adya
Expert Systems Construction, Victoria Yoon, Monica Adya
Monica Adya
No abstract provided.
How Effective Are Neural Networks At Forecasting And Prediction? A Review And Evaluation, Monica Adya, Fred Collopy
How Effective Are Neural Networks At Forecasting And Prediction? A Review And Evaluation, Monica Adya, Fred Collopy
Monica Adya
Despite increasing applications of artificial neural networks (NNs) to fore- casting over the past decade, opinions regarding their contribution are mixed. Evaluating research in this area has been difficult, due to lack of clear criteria. We identified eleven guidelines that could be used in evaluating this literature. Using these, we examined applications of NNs to business forecasting and prediction. We located 48 studies done between 1988 and 1994. For each, we evaluated how effectively the proposed technique was compared with alternatives (effectiveness of validation) and how well the technique was implemented (effectiveness of implementation). We found that eleven of the …
Data Warehousing, Data Mining, And Integrated Health Decision Support Systems: A Comprehensive Cancer Surveillance System Architecture, Guisseppi Forgionne, Aryya Gangopadhyay, Monica Adya, Joseph Tan
Data Warehousing, Data Mining, And Integrated Health Decision Support Systems: A Comprehensive Cancer Surveillance System Architecture, Guisseppi Forgionne, Aryya Gangopadhyay, Monica Adya, Joseph Tan
Monica Adya
No abstract provided.
Pricing Sensitive Information In Electronic Commerce, Aryya Gangopadhyay, Monica Adya
Pricing Sensitive Information In Electronic Commerce, Aryya Gangopadhyay, Monica Adya
Monica Adya
No abstract provided.
Corrections To Rule-Based Forecasting: Findings From A Replication, Monica Adya
Corrections To Rule-Based Forecasting: Findings From A Replication, Monica Adya
Monica Adya
Rule-Based Forecasting (RBF) is an expert system that combines forecasts from simple extrapolation methods based on features of time series. In this study, we provide corrections to ten of the 99 rules contained in RBF. These corrections were identified during a replication of RBF. Empirical comparisons indicate that the corrections did not lead to a noticeable improvement in accuracy when tested against some of the original data. However, in light of the fact that several studies are extending the work on RBF, it is important to report on these corrections to RBF.
Managing The Psychological Contract For Improved Knowledge Sharing: The Role Of Human Resource Management, Monica Adya
Managing The Psychological Contract For Improved Knowledge Sharing: The Role Of Human Resource Management, Monica Adya
Monica Adya
No abstract provided.
Decomposition As A Complex-Skill Acquisition Strategy In Management Education: A Case Study In Business Forecasting, Monica Adya, Edward Lusk, Moncef Balhadjali
Decomposition As A Complex-Skill Acquisition Strategy In Management Education: A Case Study In Business Forecasting, Monica Adya, Edward Lusk, Moncef Balhadjali
Monica Adya
Graduate business education has been criticized for utilizing simplistic teaching strategies that compromise the presentation of real-world complex skills in the classroom. In this article, we propose that complex management functions can be effectively taught using decomposition strategies. We demonstrate the usefulness of this strategy in the domain of business forecasting by comparing the forecast accuracy of students instructed in decomposition (RBF-Instructed) with that of students not exposed to such instruction (Uninstructed), as well as with an expert system called Rule-Based Forecasting (RBF). RBF-Instructed students demonstrated significant improvements over Uninstructed students and were at least as …
Expert Systems For Forecasting, Fred Collopy, Monica Adya, J. Armstrong
Expert Systems For Forecasting, Fred Collopy, Monica Adya, J. Armstrong
Monica Adya
Expert systems use rules to represent experts’ reasoning in solving problems. The rules are based on knowledge about methods and the problem domain. To acquire knowledge for an expert system, one should rely on a variety of sources, such as textbooks, research papers, interviews, surveys, and protocol analysis. Protocol analysis is especially useful if the area to be modeled is complex or if experts lack an awareness of their processes. Expert systems should be easy to use, incorporate the best available knowledge, and reveal the reasoning behind the recommendations they make. In forecasting, the most promising applications of expert systems …
Rule-Based Forecasting: Using Domain Knowledge In Time Series Extrapolation, J. Armstrong, Monica Adya, Fred Collopy
Rule-Based Forecasting: Using Domain Knowledge In Time Series Extrapolation, J. Armstrong, Monica Adya, Fred Collopy
Monica Adya
Rule-Based Forecasting (RBF) is an expert system that uses judgment to develop and apply rules for combining extrapolations. The judgment comes from two sources, forecasting expertise and domain knowledge. Forecasting expertise is based on more than a half century of research. Domain knowledge is obtained in a structured way; one example of domain knowledge is managers= expectations about trends, which we call “causal forces.” Time series are described in terms of 28 conditions, which are used to assign weights to extrapolations. Empirical results on multiple sets of time series show that RBF produces more accurate forecasts than those from traditional …
Workforce Diversity In The It Profession: Recognizing And Resolving The Shortage Of Women And Minority Employees, Mike Gallivan, Monica Adya, Manju Ahuja, Peter Hoonakker, Amy Woszczynski
Workforce Diversity In The It Profession: Recognizing And Resolving The Shortage Of Women And Minority Employees, Mike Gallivan, Monica Adya, Manju Ahuja, Peter Hoonakker, Amy Woszczynski
Monica Adya
There is growing evidence of another impending skills shortage of IT professionals, with a significant contributor being the underrepresentation of women and minorities in the IT workforce (Office of Technology Policy, 1999; Freeman & Aspray, 1999). There are claims that if minorities and women were included in the IT workforce at rates close to their representation in the general population, this shortage could be ameliorated or resolved entirely. Moreover, achieving a greater representation of women and minority employees in the IT workforce may enhance creativity, performance and product markets (Panteli et al., 2001). Women and minorities are underrepresented in the …
Crisis In American Information Systems Education: Innovations To Address The Threat Of Offshoring, Kate Kaiser, Erran Carmel, Michael Gallivan, Monica Adya, Arkulgud Ramprasad, Amar Gupta
Crisis In American Information Systems Education: Innovations To Address The Threat Of Offshoring, Kate Kaiser, Erran Carmel, Michael Gallivan, Monica Adya, Arkulgud Ramprasad, Amar Gupta
Monica Adya
Our classrooms are nearly empty. The job prospects for our graduates are bleak. Offshoring is reconfiguring the American information technology industry. What are we to do? After years of unprecedented growth, demand, and skill shortages, IT faculty find themselves in a new environment. As a short- term solution, some faculty are scrambling to develop and redesign courses. This is not enough and will not sustain the fundamental shifts needed in a global economy. How can individual faculty, Information Systems departments, and schools respond to survive the rapidly changing landscape? The situation calls for innovations in academic delivery. Academics must serve …