Journal ArticleDOI
Expert systems for business
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It's important for you to start having that hobby that will lead you to join in better concept of life and reading will be a positive activity to do every time.Abstract:
expert systems for business What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our friends become fans of expert systems for business as the best book to read? Yeah, it's neither an obligation nor order. It is the referred book that will not make you feel disappointed.read more
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Journal ArticleDOI
Exploring the factors associated with expert systems success
TL;DR: This study identifies and empirically tests eight major variables proposed in the literature as determinants of ES success, in this case measured in terms of user satisfactions, and proposes several recommendations to enhance the likelihood of project success.
Journal ArticleDOI
Early expert systems: where are they now?
TL;DR: An investigation exploring how the first wave of commercial expert systems, built during the early and mid-1980s, fared over time, shows that most of these systems fell into disuse or were abandoned during a five-year period from 1987 to 1992, while about a third continued to thrive.
Journal Article
Toward intelligent decision support systems: An artificially intelligent statistician
William Remus,Jeffrey Kotteman +1 more
TL;DR: It appears that an expert DSS can provide support for both primary and secondary decision making and help ameliorate human cognitive limitations.
Journal ArticleDOI
Modeling global market entry decision by fuzzy logic with an application to country risk assessment
Joshua B. Levy,Eunsang Yoon +1 more
TL;DR: In this paper, a fuzzy logic framework is introduced to support global market entry decision and a fuzzy evaluation method is presented to handle recursive problematical issues arising from the imprecision conveyed by natural language, such as inaccurate measures, ambiguous facts, subjective analyses, and imperfect decision rules.
Journal ArticleDOI
Knowledge‐based systems leverage human resource management expertise
TL;DR: In this paper, the applicability of knowledge-based information technology to human resource management is examined and the potential of KBS to leverage expertise and promote organizational learning remains unrealized because of poor management and piecemeal adoption of the technology.