New venture planning using advanced information systems support

2001 ◽  
Vol 4 (2) ◽  
pp. 43-56
Author(s):  
Dorothy G. Dologite ◽  
Robert J. Mockler ◽  
Marc E. Gartenfeld
Keyword(s):  
Information Systems ◽  
Business Strategy ◽  
Expert Knowledge ◽  
New Venture ◽  
Knowledge Based Systems ◽  
Strategy Formulation ◽  
Research Project ◽  
Knowledge Based

This article describes a research project answering the question "Can advanced information systems, such as expert knowledge-based systems help in business strategy formulation?"

Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering.

1986 ◽  
Author(s):  
Simon S. Kim ◽  
Mary Lou Maher ◽  
Raymond E. Levitt ◽  
Martin F. Rooney ◽  
Thomas J. Siller
Keyword(s):  
Civil Engineering ◽  
Expert Knowledge ◽  
State Of The Art ◽  
The State ◽  
Knowledge Based Systems ◽  
Knowledge Based

Involvement in Medical Informatics May Enable Pharmacists to Expand Their Consultation Potential and Improve the Quality of Healthcare

1992 ◽  
Vol 26 (1) ◽  
pp. 100-104 ◽  
Author(s):  
Alise E. Woodruff ◽  
C. Anthony Hunt
Keyword(s):  
Quality Assurance ◽  
Information Systems ◽  
Information Management ◽  
Medical Informatics ◽  
Quality Of Healthcare ◽  
Knowledge Based Systems ◽  
Related Services ◽  
Medical Computing ◽  
Knowledge Based

The outlook for pharmacy-related services foretells more involvement of both computers and information systems. Expert therapeutic systems and databases will enable pharmacists to expand their consultation potential through networks and improve the quality of healthcare that they provide. Therapeutic information management could be the largest pharmacy speciality of the future. As knowledge-based systems and networks become commonplace, there will be an increasing need for new components, system monitoring, and quality assurance. This is an opportunity for pharmacy to bring medical computing, as it relates to therapeutics, into the mainstream of the profession as a new discipline.

Decision-Making Support Systems

2005 ◽  
pp. 759-765 ◽  
Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Support Systems ◽  
Decision Makers ◽  
Knowledge Based Systems ◽  
Executive Information Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Decision Making Support

Decision-making support systems (DMSS) are specialized computer-based information systems designed to support some, several or all phases of the decision-making process (Forgionne et al., 2000). They have the stand-alone or integrated capabilities of decision support systems (DSS), executive information systems (EIS) and expert systems/knowledge based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits for decision makers in real applications.

Artificial Intelligence and Geometric Reasoning in Manufacturing Technology

1986 ◽  
Vol 39 (9) ◽  
pp. 1325-1330 ◽  
Author(s):  
John R. Dixon ◽  
Clive L. Dym
Keyword(s):  
Artificial Intelligence ◽  
Design Process ◽  
Expert Knowledge ◽  
Geometric Reasoning ◽  
Geometric Representation ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Planning And Design ◽  
Control Assembly ◽  
Applications Of Ai

This article presents a brief review of the current literature on the applications of artificial intelligence (AI) technologies, and especially expert (knowledge-based) systems, to manufacturing. Emphasis is placed on geometric representation and reasoning in design as an aid to manufacturing. Also discussed are applications of AI to process planning and design, process control, assembly, and other phases of manufacturing.

Impact of Knowledge Based Information Systems on Organisations

1989 ◽  
Vol 4 (3) ◽  
pp. 145-158 ◽  
Author(s):  
Rodger Jamieson ◽  
Richard Szeto
Keyword(s):  
Information Systems ◽  
Research And Development ◽  
New Venture ◽  
Future Directions ◽  
Additional Information ◽  
Competitive Edge ◽  
Knowledge Based ◽  
The Future ◽  
Interview Format ◽  
The Impact

This paper investigates the impact of knowledge based information systems (KBIS) on commercial organisations. A questionnaire and interview format was used to gather information from eleven commercial organisations developing KBIS. Three prime areas were considered, namely knowledge acquisition, knowledge representation, and KBIS development methodologies. For each of these areas, the normative position as expressed in the literature is presented and then compared to the survey findings. Problems involved in the development of KBIS are mentioned as well as developers’ perceptions of the future directions for KBIS within their organisations. Additional information on each organisation is presented in an Appendix in order to provide a richer picture and background to the study. The main preliminary findings are that KBIS have made an impact on organisations in Australia who are willing to make a considerable investment of resources in this new venture. While most organisations are treating this technology as research and development, they believe that the technology will be absorbed into their mainstream information systems in the future. These systems are seen as providing a competitive edge to those organisations willing to make the investment.

Rapid development of knowledge-based systems via integrated knowledge acquisition

2003 ◽  
Vol 17 (3) ◽  
pp. 221-234 ◽  
Author(s):  
HAO XING ◽  
SAMUEL H. HUANG ◽  
J. SHI
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Fuzzy Inference ◽  
Expert Knowledge ◽  
Traditional Approach ◽  
Rapid Development ◽  
Real Life ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Linguistic Rules

This paper presents a novel approach, which is based on integrated (automatic/interactive) knowledge acquisition, to rapidly develop knowledge-based systems. Linguistic rules compatible with heuristic expert knowledge are used to construct the knowledge base. A fuzzy inference mechanism is used to query the knowledge base for problem solving. Compared with the traditional interview-based knowledge acquisition, our approach is more flexible and requires a shorter development cycle. The traditional approach requires several rounds of interviews (both structured and unstructured). However, our method involves an optional initial interview, followed by data collection, automatic rule generation, and an optional final interview/rule verification process. The effectiveness of our approach is demonstrated through a benchmark case study and a real-life manufacturing application.

Information Systems and Business Strategy

2011 ◽  
pp. 30-50
Author(s):  
Antonio Torres-Perez ◽  
Isidre March-Chorda
Keyword(s):  
Information Systems ◽  
Strategic Planning ◽  
Business Strategy ◽  
Corporate Strategy ◽  
Planning Model ◽  
Strategy Formulation ◽  
Control Phase ◽  
Proper Formulation ◽  
The Empirical Analysis

The main purpose of this chapter is to deep into the importance attached to the Information Systems for the proper formulation of the corporate strategy. After introducing the basis of the strategic planning tradition model, which suggests the subordination of the Information Systems (IS) to the Business Strategy, we propose a new model that views the IS as an strategic instrument suited for the strategy formulation stage, rather than operational tools for the strategy control phase. Success in the application of this model we call “Concurrent Business/IS Strategic Planning Model” will closely depend on the consistency, coherence and soundness of the IS, both internal and external. In order to contrast the level of application of this model, an empirical case-study fieldwork was undertaken to rise up some empirical evidence on the degree of alignment between the entrepreneurial practice and the theoretical model proposed. This last section contains the main results arising from the empirical analysis.

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