[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track最新文献
{"title":"Expert systems and their impact on the firm: the effects of PlanPower use on the information-processing capacity of the Financial Collaborative","authors":"J.J. Sviokla","doi":"10.1109/HICSS.1989.49199","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49199","url":null,"abstract":"A discussion is presented of the Financial Collaborative (TFC), which is a small, expertise-intensive and relationship-orientated financial planning firm whose aim is to serve individuals with incomes of six figures or more who also have a net worth of over $1,000,000. In late 1985, TFC's immediate needs centered on increasing its ability to write financial plans and to service clients better. TFC implemented PlanPower, an expert system which is designed to help financial planners create more accurate and comprehensive financial plans in less time. A discussion is presented of PlanPower implementation, focusing on pre- and postimplementation capacity and plan design.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116917292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing the group decision making process: an intelligent systems architecture","authors":"R. Agarwal, K. Prasad","doi":"10.1109/HICSS.1989.49252","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49252","url":null,"abstract":"The authors present a preliminary specification for intelligent systems which can improve communication, actively guide the nature of the information-exchange process, and reduce the uncertainty that is typical in group-decision problems. They show that the overall design objective must be to provide a support mechanism sensitive to the context of group decision-making. In meeting this objective, an intelligent group decision support system should, when stimulating discussion, contain a mechanism which recognizes time constraints and searches for acceptable solutions efficiently. The other contribution of this study is to provide an architecture which incorporates all of these features and provides a basis for designing intelligent group-decision-support-systems. A generalizable blackboard-based architecture for such a system is described.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117019349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A theoretical framework for measuring the impact of information technology in the human resource function: untapped potential or unfulfilled promises?","authors":"P. Guinan","doi":"10.1109/HICSS.1989.49203","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49203","url":null,"abstract":"The corporate human resource function is an area that has undergone a great increase in computer support. Unfortunately, human resource information systems (HRIS) bring with them problems endemic to system design as well as issues to resolve. The author extends a theoretical rationale from which to examine these problems and a framework from which to examine the impact of HRIS on the human resource function. The theoretical approach is based in the strategic human resource concept of C. Lengnick-Hall (1988) and A.S. Tsui (1984). From it is derived the framework, called the human strategic resource matrix. This matrix plots both internal and external strategic components of an organization against a five-stage model of organizational development: the stages run from initiation of the component to its full integration into use. Each cell in the matrix contains the human resources needed in that area at that stage.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incidental learning of spatially organized DSS interfaces: a case analysis","authors":"L.J. Calloway","doi":"10.1109/HICSS.1989.49269","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49269","url":null,"abstract":"The author suggests ways that existing models of spatial learning might relate to spatial representations in highly interactive decision support systems (DSSs) that use spatial metaphors at the interface. The results of the experiment indicate that when spatial metaphors and artificial realities are used to organize human/computer interactions for decision-making, the users are subject to the same learning constraints and opportunities as they are with normal spatial realities. The findings indicate that it might be useful to examine the applicability of other experimental psychology results to problems in computing.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127085178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Building consensus for funds allocation decisions through implementation of a decision support system","authors":"M. C. Kettelhut","doi":"10.1109/HICSS.1989.49200","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49200","url":null,"abstract":"A discussion is presented of a DDS (decision support system) implemented in the highly political environment of a recently acquired division of a Fortune 50 corporation. The system was developed after an assessment of the fund's allocation decision process and was developed for the decision makers rather than with them or by them. The implementation of this DSS relied on at least two distinct benefits attributed to DSS. First, the DSS provided a basis for group discussion of the factors perceived to be important to a decision at hand. It provided numeric rankings for these factors which could be used for comparison. The use of quantitative models with numeric data, which can be aggregated for review, facilitates objective analysis and reduces cognitive bias which can affect the decision-making process. Second, the DSS added structure in R&D funding decisions.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125495114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge structures and categorization research in information systems","authors":"J. Dhaliwal","doi":"10.1109/HICSS.1989.49221","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49221","url":null,"abstract":"The author presents a review of memory studies relating to the management and IS (information system) domains. He describes the state of development of knowledge structures and categorization research in cognitive psychology. This is followed by a discussion of how these findings could usefully be applied to research into various aspects of information systems design and use. These include information requirements determination, information presentation and interface design issues, and knowledge acquisition (KA) for knowledge-based system development.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114219397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A consultant to assist students in solving statistics problems","authors":"S. Athey","doi":"10.1109/HICSS.1989.49274","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49274","url":null,"abstract":"The statistical consultant described in this paper incorporates a knowledge base in an educational tool for novices in statistical decision-making to use in choosing a statistical technique. The heart of the system is the rule base for differentiating between statistics. The rules are based on five questions which the data can answer, as well as the type of data, the number of variables, and any dependent/independent relationships which exist between the variables. Twenty-nine statistics and the rules for choosing them are in the rule sets. The consultant was tested against the usual textbook method with two different groups of users, 25 undergraduates and 19 doctoral students. The results were that the computer-assisted students in both samples correctly solved a larger proportion of problems despite a conservative test which favored the textbook users and also took longer to find an appropriate solution.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121107420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Group operating systems for decision factories of the future: an extended relational GDSS architecture","authors":"R. Eck, M. Goul, A. Philippakis, S. Richards","doi":"10.1109/HICSS.1989.49253","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49253","url":null,"abstract":"The authors focus on technological issues for a unifying GDSS (group-decision-support system architecture) architecture. A relational GDSS architecture using extended database concepts and an associated processing kernel or GDSS operating system (GOS) are set forth. The proposed architecture is sufficiently robust to represent existing and anticipated group decision support systems. Major benefits include: (1) system configuration, session control, group work products, and research variable settings are stored in and can be retrieved from a common database; (2) a GOS is recognised to be a query processor used to define, control, and coordinate group sessions; (3) the relational structure supports distributed implementations; and (4) the architecture is consistent with research proposing the integration of data, models, and solvers for decision applications.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121364171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward a symbiotic expert system for econometric modeling","authors":"D. Dolk, D. Kridel","doi":"10.1109/HICSS.1989.49217","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49217","url":null,"abstract":"An examination is made of the feasibility of developing an artificially intelligent econometrician as a symbiotic decision support system (SDSS). The authors review the system components of an SDSS and relate them to a DSS for econometric modeling that they have implemented. They present the query language of the PERM (program for econometric modeling) system and offer an extension to the language using process-oriented constructs for model integration. Schemas representing statistical strategies are stored as processes in the extended language and serve as the econometric knowledge base. The authors suggest building an inference processor for this expert system based on experiments to record user query protocols and relate them to the schemas in the knowledge base. Demon constructs in the extended language connect user processes with schemas.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125264211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"HELM: Hierarchical Environment for Linear Modeling. I. The schema","authors":"C. Brown, T. Lewis","doi":"10.1109/HICSS.1989.49275","DOIUrl":"https://doi.org/10.1109/HICSS.1989.49275","url":null,"abstract":"A description is given of the modeling language of the HELM (Hierarchical Environment for Linear Modeling) system for conceptualizing, organizing and specifying the model schema of large-scale linear programming problems. The authors show how to transform the standard linear programming form into the HELM model structure. A formal detailed description of HELM syntax is provided, and the HELM process of model integration is described. The use of the system is demonstrated with an example.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}