Impact of Organisational Intranets on Profitability in Organisations

2008 ◽  
pp. 2817-2844
Author(s):  
Udo Richard Averweg
Keyword(s):  
South Africa ◽  
Information Systems ◽  
Information Needs ◽  
Mobile Technologies ◽  
Executive Information Systems ◽  
Managerial Decision ◽  
Web Based ◽  
Knowledge Based ◽  
Kwazulu Natal ◽  
Implementation Models

Organisations are being forced to invest heavily in the deployment of information systems (IS) to obtain value and benefit in the new knowledge-based environment. Organisational intranets are being used as the platform for developing and deploying critical business applications to support business operations and managerial decision-making across the Internet-worked enterprise. Executive Information Systems (EIS) grew out of the information needs of executives. Web-based technologies are causing a revisit to existing information technology (IT) implementation models, including those for EIS. Some technologies include intranet, Internet, extranet, e-commerce business-to-business (B2B), e-commerce business-to-consumer (B2C), wireless application protocol (WAP), including other mobile technologies. The author conducted a survey of 31 well-established organisations in KwaZulu-Natal, South Africa, which successfully implemented EIS. A validated survey instrument was administered to an EIS stakeholder in each organisation surveyed to rank Web-based technologies in order of their perceived impact on EIS implementation in organisations surveyed. The author reports that an organisational intranet has the highest level of impact on EIS implementation in organisations surveyed in KwaZulu-Natal, South Africa. Given this impact, justifying investment in such IS and IT should be carefully evaluated and quantified.

Impact of Organisational Intranets on Profitability in Organisations

2011 ◽  
pp. 44-78 ◽  
Author(s):  
Udo R. Averweg
Keyword(s):  
South Africa ◽  
Information Systems ◽  
Information Needs ◽  
Mobile Technologies ◽  
Executive Information Systems ◽  
Managerial Decision ◽  
Web Based ◽  
Knowledge Based ◽  
Kwazulu Natal ◽  
Implementation Models

Organisations are being forced to invest heavily in the deployment of information systems (IS) to obtain value and benefit in the new knowledge-based environment. Organisational intranets are being used as the platform for developing and deploying critical business applications to support business operations and managerial decision-making across the Internet-worked enterprise. Executive Information Systems (EIS) grew out of the information needs of executives. Web-based technologies are causing a revisit to existing information technology (IT) implementation models, including those for EIS. Some technologies include intranet, Internet, extranet, e-commerce business-to-business (B2B), e-commerce business-to-consumer (B2C), wireless application protocol (WAP), including other mobile technologies. The author conducted a survey of 31 well-established organisations in KwaZulu-Natal, South Africa, which successfully implemented EIS. A validated survey instrument was administered to an EIS stakeholder in each organisation surveyed to rank Web-based technologies in order of their perceived impact on EIS implementation in organisations surveyed. The author reports that an organisational intranet has the highest level of impact on EIS implementation in organisations surveyed in KwaZulu-Natal, South Africa. Given this impact, justifying investment in such IS and IT should be carefully evaluated and quantified.

Management Information Systems Needs for Public Service Delivery in the Digital Era

2019 ◽  
pp. 166-226
Keyword(s):  
Information Systems ◽  
Value Chain ◽  
Information Needs ◽  
Management Information Systems ◽  
Value Chain Analysis ◽  
Executive Information Systems ◽  
Management Information ◽  
Digital Era ◽  
Application Systems ◽  
Information Engineering

Chapter 8 continues the path through the ISSP framework described in Chapter 5 by considering the information systems (IS) application needs of government entities to support the identified information requirements. The basic principle is that the organisation needs to identify the information that it requires to run its business and then to determine the application systems that support the information needs. Hence, this approach provides a business-driven model rather than a technology-driven method. The chapter discusses various concepts related to the information resource management, information engineering, database management systems, data warehousing concepts, data mining concepts, business process reengineering, management information systems, decision support systems, executive information systems, and value chain analysis. These concepts link information management with application systems management, thus providing an integrated holistic view of the IS process.

Decision-Making Support Systems

2011 ◽  
pp. 978-984
Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Support Systems ◽  
Original Version ◽  
Executive Information Systems ◽  
Intelligent Decision Making ◽  
Knowledge Based ◽  
Challenges And Opportunities ◽  
Research Findings ◽  
Decision Making Support

Decision-making support systems (DMSS) are computerbased information systems designed to support some or all phases of the decision-making process (Forgionne, Mora, Cervantes, & Kohli, 2000). There are 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 in practice. DMSS evolution has presented unique challenges and opportunities for information system professionals. To gain further insights about the DMSS field, the original version of this article presented expert views regarding achievements, challenges, and opportunities, and examined the implications for research and practice (Forgionne, Mora, Gupta, & Gelman, 2005). This article updates the original version by offering recent research findings on the emerging area of intelligent decision-making support systems (IDMSS). The title has been changed to reflect the new content.

scholarly journals Models and methods of reinforcement learning in the structure of adaptive web-based information systems

2021 ◽  
Vol 16 (93) ◽  
pp. 79-92
Author(s):  
Irina Yu. Shpolianskaya ◽  
Keyword(s):  
Reinforcement Learning ◽  
Information Systems ◽  
Information Needs ◽  
User Behavior ◽  
Learning Algorithms ◽  
User Profile ◽  
Information Resources ◽  
Web Based ◽  
Subsequent Formation ◽  
Effective System

Widespread use of web-based systems in business, marketing, e-learning, etc. makes it necessary to take into account and analyze the information needs of the user in order to optimize interaction with him. One of the main problems of creating adaptive web-based systems is the task of classifying information resources (pages) of the portal describing the offered product or service, for the subsequent formation of the user profile and personalized recommendations of services. Data mining and machine learning methods can be used to solve this problem. The article presents a new approach to creating adaptive web-based information systems using the reinforcement learning algorithms to classify information resources and to form personalized recommendations to users based on their preferences. An adaptive approach is proposed and justified, based on the use of Reinforcement Learning procedures, which allows you to automatically find the most effective strategies for the correct classification of the site's resources and the formation of user groups with the same type of requests and preferences. The proposed scheme allows you to create procedures for evaluating and ranking information resources of the system based on the analysis of user behavior on the site online. The reinforcement learning algorithms used make it possible to evaluate the relevance of each page of the site to the requests and preferences of the users from different categories in order to optimize the structure and content of the site, as well as to build an effective system of recommendations in accordance with the user's interests to be able to choose the most suitable products or services.

An Overview of Executive Information Systems (EIS) Research in South Africa

2011 ◽  
pp. 2964-2970
Author(s):  
Udo Richard Averweg
Keyword(s):  
South Africa ◽  
Decision Making ◽  
Information Systems ◽  
Success Factors ◽  
Easy Access ◽  
External Information ◽  
Executive Information Systems ◽  
Critical Success ◽  
Executive Support Systems ◽  
Computerized System

Executive information systems (EIS) are designed to serve the needs of executive users in strategic planning and decision- making. Sometimes the terms “executive information systems” and “executive support systems” are used interchangeably (Turban, McLean, & Wetherber, 1999). Definitions of EIS are varied but all identify the need for information that support decisions about the organization. EIS can be defined as “a computerized system that provides executives with easy access to internal and external information that is relevant to their critical success factors” (Watson, Houdeshel, & Rainer, 1997). This article is organized as follows: The background to EIS implementation is given. EIS research studies undertaken in South Africa are then described. Some future EIS trends are then suggested.

Supporting Executive Intelligence Activities with Agent-Based Executive Information Systems

2007 ◽  
pp. 69-86
Author(s):  
V. Ong
Keyword(s):  
Information Processing ◽  
Information Systems ◽  
Empirical Studies ◽  
Design Model ◽  
The Internet ◽  
Executive Information Systems ◽  
Distributed Environment ◽  
Theoretical Underpinning ◽  
Web Based ◽  
Agent Based

This chapter examines the theoretical underpinning for supporting executive intelligence activities and reviews conventional studies of executive information systems (EIS) over the last two decades in responding to the current executives’ information processing needs and the current Internet era. The reviews suggest the need for designing advanced EIS that are capable of responding and adapting to executive information. This chapter recognizes the necessity of revitalizing EIS with advances in intelligent technologies and Web-based technologies. Empirical studies were conducted to elucidate executives’ desires and perceptions of the prospect of agent-based technologies for supporting executive intelligence activities in the more integrated and distributed environment of the Internet. Based on the insights gained from empirical studies, this chapter concludes by presenting a three-level agent-based EIS design model that comprises a “usability-adaptability-intelligence” trichotomy for supporting executive intelligence activities.

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.

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