THE APPLICABILITY of HYBRID SYSTEMS in SUPPORT of the CORPORATE MANAGEMENT PROCESS a REVIEW of SELECTED PRACTICAL EXAMPLES - Polish Journal of Management Studies

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THE APPLICABILITY of HYBRID SYSTEMS in SUPPORT of the CORPORATE MANAGEMENT PROCESS a REVIEW of SELECTED PRACTICAL EXAMPLES

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THE APPLICABILITY OF HYBRID SYSTEMS IN SUPPORT OF THE CORPORATE MANAGEMENT PROCESS: A REVIEW OF SELECTED PRACTICAL EXAMPLES
Ziora L., Nowicki A., Stanek S.

Abstract: The aim of the paper is presentation of hybrid systems application in the support of decision processes including its practical application in such areas of business activity as marketing, production planning, retail banking. The considerations were directed at dynamically growing research area concerning hybrid cognitive architecture.

Key words: hybrid systems, management process support, cognitive architecture, decision support, corporate management

Introduction

In S. Zieliński
s definition, “management is a continuous decision-making process which involves the use of adequate, pre-processed information, and of which performance depends on the presence of an efficient, well-suited information system that meets all of the key requirements” [28, p.13]. The management process, as well as the decision-making process itself, can be supported by a variety of information systems, such as decision support systems, management information systems, business intelligence systems, expert systems, alongside a number of methods and techniques based on artificial intelligence. A combination of several techniques, methods and/or systems that make up a hybrid solution can be deployed to the decision-making process in a specific enterprise in an effort to accelerate it and improve its quality and efficiency. Z. Klonowski argues that “within an information system, all the processes of message transformation viz. recording, gathering, storage, processing as well as the decision-making act itself, composed of the stages of definition (of a set of decision variants), evaluation (of each decision variant), selection (of a single variant), decision-making, and decision implementation, constitute integral parts of decision-making processes.” Hybrid approaches, where algorithmic and heuristic methods work in unison, are intrinsic to the way decisions are made in poorly structured, ill-structured and unstructured environments [8]. Hybrid systems are characterized by an emergent (synergetic) property of adaptiveness which enables them to operate under conditions that were not anticipated or even present at the time the system was designed. These observations have inspired a rapidly growing body of research on hybrid cognitive architectures (the term “cognitive architecture” does not have a commonly agreed and unambiguous designation, although it can be found in Wikipedia: “It proposes (artificial) computational) [cf. e.g. Year Sun 2012, Deutch 2011, Lang 2010, Becker-Asana 2008]. In an attempt to further enhance the adaptive effect by exploiting the patterns inherent in social systems, research has also been undertaken on e.g. perception, deliberation, communication, and interaction with the environment.
The paper aims to present the applicability of hybrid systems in decision support and their practical exemplifications in such areas of business activity as marketing, production planning, and retail banking. Attention is centered on the robustly growing strand of research focused on hybrid cognitive architectures.


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Summary

Hybrid systems have found applications in a number of areas, e.g. in retail banking, where a combination of an expert system with neural networks and case-based reasoning accounts for better decision-making in the sector, corresponding to better lending decisions and policies and an ability to offer services that are better tailored to specific customers’ needs. Expert systems can not only function alongside neural networks, but they can also be instrumental in training the latter. Accelerated decision-making and efficient enterprise management support can be achieved by deploying the right methods and techniques of data mining, which is part of business intelligence systems [cf. 14]. The proliferation of studies on hybrid cognitive architectures marks the advancement of research toward these emergent properties: autonomy, adaptiveness, and recognition of the human user’s cognitive context. This research strand continues to grow rapidly.

References

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ZASTOSOWANIE SYSTEMÓW HYBRYDOWYCH DO WSPARCIA KORPORACYJNYCH PROCESÓW ZARZĄDZANIA: PRZEGLĄD WYBRANYCH PRZYKŁADÓW PRAKTYCZNYCH


Streszczenie: Celem artykułu jest prezentacja zastosowań systemów hybrydowych we wspomaganiu procesów decyzyjnych w tym praktyczna egzemplifikacja ich wykorzystania w takich obszarach działalności biznesowej jak m.in. marketing, planowanie produkcji, bankowość detaliczna. Rozważania zostały ukierunkowane na dynamicznie rozwijający się aspekt badawczy dotyczący architektury hybrydowo poznawczej.

Słowa kluczowe: systemy hybrydowe, wspomaganie procesu zarządzania, architektura poznawcza, wspomaganie decyzji, zarządzanie korporacyjne.


混合動力系統在支持企業管理程序的適用性:選定現實的例子綜述

摘要:本文的目的是在決策過程中,包括在商業活動等方面的實際應用,市場營,生產計劃,零售銀行的支持下呈現混合動力系統的應用。代價乃直指關於混合動力的認知結構動態增長的研究領域。
關鍵詞:混合動力系統,管理流程的支持,認知結構,決策支持,企業管理

 
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