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Archives of Business Review – Vol. 8, No.10

Publication Date: October 25, 2020

DOI: 10.14738/abr.810.9251.

Shi, Z., Wen, Z., & Xia, J. (2020). Towards the Development of an Intelligent Management System. Archives of Business Research, 8(10).

144-149.

Towards the Development of an Intelligent Management System

Zheng Shi

Dalian Nationalities University, School of Economics and Management,

Liaoning Province, Dalian Development Zone, China

Zheng Wen

Northeastern University in Qinhuangdao,

Hebei Province, Qinhuangdao, China.

Jin Xia

Dalian Nationalities University, School of Economics and Management,

Liaoning Province, Dalian Development Zone, China

ABSTRACT

This paper presents a architecture and several technical issues of an

intelligent management system, which can bridging the substantial gap

between the theory and practical of an intelligent management. The

particular system, throughout its interactions with executives,

automatically generated modules that lead to the accomplishments of

executives’ changing tasks. The generated modules have new friendly

interface. They adapted to executives’ role, computer skill, and special

task. The adaptive behaviours of the system show that the system is

superior to the prevailing systems.

Keywords: Intelligent redesign; Intelligent Management System; artificial

intelligent

INTRODUCTION

Over the last decade, there has been significant development in IMS. Artificial intelligence

techniques play important role in this process. The artificial intelligence techniques were advances

in 1980 have led to systems that display surprising capabilities and in some cases perform better

than experts in the field. Mark S. Fox has ever proposed an overview of the Intelligent Management

System [1]

. He believed that IMS was an ownership based application, which does not have hassles

of paying after regular intervals. It can help users customize the modules as per their requirements

and mix and match for the perfect combination. To date, IMS’s Examples can be found in many

application fields [2-6]

.

The broad functional goals of the Intelligent Management System include: 1) Providing expert

assistance in the accomplishment of professional and managerial tasks, and 2) Integrating and

coordinating the management of the organization. Integrating AI (e.g. the experts’ knowledge or

system) with the experiences of the executives might have more importance than the function for

acquiring external information in an intelligent system. Therefore, unlike the prevailing researches

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Shi, Z., Wen, Z., & Xia, J. (2020). Towards the Development of an Intelligent Management System. Archives of Business Research, 8(10). 144-149.

URL: http://dx.doi.org/10.14738/abr.810.9251 146

company, if the company is not willing to pay extra costs. They are not intelligent system but

programming soft packages needed no programming skills.

A FRAMEWORK OF INTELLIGENT REDESIGN

Intelligent redesign is a scheme which allows the system can be redesigned without the aid of the

computer specialists or developed by staff members in company. The framework is illustrated in

Fig.1,

Fig. 1. key Structure of IMS

Executives’ feedback

Executives’ feedback can be classified into two categories, explicit one and implicit one. Explicit

feedback can be collected by the interactive interface which can gather the information about the

executives’ situation such as, the role in a company, the computer operation skill, how busy he is,

etc.. Implicit feedback can be reflected by the log file embedded in the MIS, which can gather the

information executives interested.Implicit feedback techniques are often used for query expansion

and user profiling in information retrieval tasks. Implicit feedback techniques take advantage of

user behaviour to understand user interests and preferences. Oard and Kim[18]

classified

observable feedback behaviours according to two axes, Behaviour Category and Minimum Scope.

The observable feedback behaviours in our system are illustrated by the frequency for each unit in

the executive database. Table 1 - 3 shows the detail.

Requirements

Menu mapping

Executives

‘database

MIS ‘database

Interface of

Executives’

feedback

Executives

Participatory

Training set

Requirements

representation

Testing set

Fuzzy neural

networks

Requirements set

New interface

and module

Generation

MIS Interfaces

And module set

Management

task

Executives