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Articles 31 - 39 of 39
Full-Text Articles in Business
Cancer Surveillance Using Data Warehousing, Data Mining, And Decision Support Systems, Guisseppi A. Forgionne, Aryya Gangopadhyay, Monica Adya
Cancer Surveillance Using Data Warehousing, Data Mining, And Decision Support Systems, Guisseppi A. Forgionne, Aryya Gangopadhyay, Monica Adya
Monica Adya
This article discusses how data warehousing, data mining, and decision support systems can reduce the national cancer burden or the oral complications of cancer therapies, especially as related to oral and pharyngeal cancers. An information system is presented that will deliver the necessary information technology to clinical, administrative, and policy researchers and analysts in an effective and efficient manner. The system will deliver the technology and knowledge that users need to readily: (1) organize relevant claims data, (2) detect cancer patterns in general and special populations, (3) formulate models that explain the patterns, and (4) evaluate the efficacy of specified …
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 …
Risky Decisions And Decision Support: Does Stress Make A Difference?, Gloria Phillips-Wren, Monica Adya
Risky Decisions And Decision Support: Does Stress Make A Difference?, Gloria Phillips-Wren, Monica Adya
Monica Adya
Studies of human decision making have demonstrated that stress exacerbates risk taking. Since all decisions involve some element of risk, stress has critical impact on decision quality. Decisions are found to improve with stress up to an optimal threshold beyond which deterioration is observed. However, few studies have examined the psychological experiences underlying risk-taking behavior in conjunction with stress creators. In this paper we propose a research framework that integrates pre-conditions of stress (perceptions of high gain/loss, risk, complexity, and organizational pressure) with observed psychological experiences (time pressure, uncertainty, information overload, and dynamism) that potentially result in risky decision making. …
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 …
The Distributed User Modeling Shell System (Dumss): A Conceptual Framework For Eliciting User Models, Thawatchai Piyawat, Monica Adya, Anthony F. Norico
The Distributed User Modeling Shell System (Dumss): A Conceptual Framework For Eliciting User Models, Thawatchai Piyawat, Monica Adya, Anthony F. Norico
Monica Adya
With the advances in communication technology, large volumes of information can transfer across continents within a fraction of a second. Nevertheless, computer users still suffer from unpleasant situations when they interact with systems and are required to adapt to systems rather than the other way round. User modeling aims to overcome this problem by enabling computer systems to interact with users according to the users’ models, i.e., goals, knowledge, and preferences of users. Although, user modeling has shown invaluable benefits, methods of capturing user information to build precise and useful user models are still in their early states. This paper …
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 …
Women At Work: Individual And Cultural Differences In It Career Experiences And Perceptions Between South Asian And American Women, Monica Adya
Monica Adya
No abstract provided.