A Comparison of Implementation Resistance Factors for DMSS Versus Other Information Systems

2004 ◽  
pp. 315-332 ◽  
Author(s):  
Kristina Setzekorn ◽  
Vijayan Sugumaran ◽  
Naina Patnayakuni
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Business Processes ◽  
Support Systems ◽  
Business Environment ◽  
Executive Information Systems ◽  
Resistance Factors ◽  
Knowledge Based ◽  
Other Information ◽  
Effective Decision Making

Effective decision-making within and across organizations is of strategic importance as the global business environment becomes more complex. Business processes and their related computer based information systems (CBIS) must support integrated decision-making. While decision support systems (DSS), executive information systems (EIS), and knowledge-based systems (KBS) have been independently used to support problem solving and decision making activities, they are still not widely implemented and accepted by a broad spectrum of organizations. Identifying the reasons for the lack of widespread use, as well as integration of these technologies would enable organizations to better design and implement these support systems. Using 41 narratives, we have compared decision-making support systems (DMSS) resistance factors with those of other CBIS to better understand these factors and their impact on DMSS implementation.

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.

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.

An Architecture for the Integration of Decision Making Support Functionalities

2011 ◽  
pp. 1-19 ◽  
Author(s):  
Guisseppi A. Forgionne
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Intelligent Systems ◽  
Support Systems ◽  
Decision Making Process ◽  
Executive Information Systems ◽  
Robust Decision Making ◽  
Advantages And Disadvantages ◽  
The Individual ◽  
Decision Making Support

Various information systems have evolved to support the decision making process. There are decision support systems (DSS), executive information systems (EIS), artificially intelligent systems (AIS), and integrated combinations of these systems. Each of the individual systems supports particular phases and steps of the decision making process, but none of the individual systems supports the entire process in an integrated and complete manner. The integrated systems alleviate the support deficiencies, and each of the integration approaches has specific advantages and disadvantages. By studying these advantages and disadvantages, researchers and practitioners can better design, develop, and implement robust decision making support systems. This chapter facilitates such study by presenting and illustrating the underlying information system architectures for robust decision making support.

scholarly journals Challenges of Executive Information Systems in listed Johannesburg Stock Exchange companies

2011 ◽  
Vol 13 (1) ◽  
Author(s):  
Elmarie Papageorgiou ◽  
Herman De Bruyn
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Stock Exchange ◽  
Business Environment ◽  
Executive Information Systems ◽  
Management Information ◽  
Competitive Edge ◽  
Johannesburg Stock Exchange ◽  
Strategic Value ◽  
Business And Management

Background: The widespread use of Executive Information Systems (EISs) as a management information tool was noted in listed Johannesburg Stock Exchange (JSE) companies. The digital business environment exposed executives to so much data that data need to be converted into useful information that is organised and summarised.Objectives: The purpose of this study is to establish and to determine the existence, and to what extent EISs exist in all levels of management and to identify the challenges companies experienced in listed JSE companies. Therefore the problem exists that EIS-users at all levels of management are unaware of the challenges of EISs and that EISs can be used as a tool to analyse their businesses’ performance and competitiveness.Method: A mixed method was used; both quantitative and qualitative in nature. Questionnaires were sent to 334 listed JSE companies and 13 interviews were conducted with users of EISs in all levels of management.Results: The results of the study demonstrate that the majority of respondents of the questionnaire have an EIS or plan to implement an EIS. The results further revealed the respondents’ positive attitude towards EISs as it is an excellent management information tool that adds strategic value to their business, that is critical for real-time decision-making, solves problems and creates a competitive edge. From the results it is evident that there is a need for an EIS to be ‘everybody’s information system’. The results of the interviews demonstrate that an EIS is a seamless reliable system necessary for proper timeous decision-making. The respondents to the questionnaire and the interviewees indicated that they understood the value of EISs as a useful part of their company.Conclusion: The study adds value to the awareness and understanding of EISs that creates a business environment in which business and management can enhance sustainability and strategic competitiveness.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

«New» Executive Competencies in the Context of Digital Business Transformation

2021 ◽  
pp. 5-10
Author(s):  
Vasiliy Svistunov ◽  
Vitaliy Lobachyev
Keyword(s):  
Information Systems ◽  
Information Technologies ◽  
Business Processes ◽  
Business Environment ◽  
Priority List ◽  
Industrial Enterprises ◽  
Executive Competencies ◽  
A Priority ◽  
Corporate Information Systems ◽  
Corporate Information

Improving the competitiveness of domestic enterprises is based on the introduction of advanced business and management information technologies. The current business environment is increasingly causing an urgent need for managers to expand the horizon of digital vision not only for current, but also for future management of the company. Today, it is not enough for a Manager to simply have proper professional knowledge in certain functional areas of activity and have a broad managerial Outlook. A modern Manager should be able to initiate the introduction and use of advanced information systems and technologies in almost all implemented business processes of his company. When preparing the article, the materials of research conducted at a number of domestic industrial enterprises were used. Conclusions and main provisions are based on the results of analysis of real practice of implementation and operation of corporate information systems. The results obtained in the course of the research, including the opinions of experts, which were made by employees of industrial enterprises, were used in conducting targeted work to establish a priority list of the most relevant and significant professional areas of knowledge and professional qualities that can help a modern Manager achieve success in the implementation and practical use of corporate information systems. The main result of the research should be considered the formation of such a priority list.

Strategic Information Systems in Arab Organizations

2019 ◽  
pp. 197-210
Author(s):  
Ahmad Fayez Albadri
Keyword(s):  
Information Systems ◽  
Business Performance ◽  
Business Processes ◽  
Common Factor ◽  
Business Environment ◽  
Strategic Information ◽  
Strategic Information Systems ◽  
Lack Of Fit ◽  
Business Functions ◽  
The Impact

Organizations are increasingly dependent on information systems, and they invest dearly on systems to integrate disparate business functions, automate business processes, and support operations in order to sustain business and survive in a competition-intensive business environment. However, such systems have in many occasions failed fully or partially. The lack of “fit-to purpose” seems to be the common factor among most of the failed cases. This suggests that such systems are not selected, implemented, configured, or supported based on a proper analysis and understanding of the organization structure and hierarchy, business functions, business processes, and business environment. Evidently, the majority of organizations tend to emphasize system specifications that match their operational and tactical requirements, with little attention given to strategic requirements, culminating in issues with strategic planning and decision making. This chapter uses a survey and simple model based on the characteristics and competitiveness indicators of strategic information systems (SIS) to examine the impact of such systems on the business performance in 16 medium to large Arab organizations. The study concludes with an emphasis of the importance of SIS to help organizations achieve excellence and competitive advantage and realize business objectives and goals.

Outsourcing and Information Systems Development

2008 ◽  
pp. 1866-1876
Author(s):  
Julie E. Kendall ◽  
Kenneth E. Kendall
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Support Systems ◽  
Systems Development ◽  
Information Systems Development ◽  
Quality Systems ◽  
Executive Information Systems ◽  
Partner Relationship ◽  
Competitive Systems ◽  
Types Of Information

Many firms outsource creation of program code for management information systems, but not all experiences are successful. Although some researchers and practitioners are quick to blame failures on differing country cultures, this does not appear to be the reason. Rather it is the compatibility or differences in corporate cultures between the client company and the outsourcing partner that may help or hinder the development of quality systems. In this chapter we examine the metaphors found in the language of client corporations and outsourcing partners and explain how to look for compatibility when designing various types of information systems including traditional MIS, decision support systems, expert systems and AI, executive information systems, cooperative systems, and competitive systems. We explain how the development of certain types of systems can benefit from situations where more positive metaphors exist and offer some guidelines for the MIS practitioner, thereby minimizing risk and increasing the likelihood of a more successful client company-outsourcing partner relationship.

Understanding Based Managing Support Systems

2010 ◽  
pp. 91-102
Author(s):  
Lidia Ogiela ◽  
Ryszard Tadeusiewicz ◽  
Marek R. Ogiela
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Semantic Analysis ◽  
Support Systems ◽  
Expert Knowledge ◽  
Management Support ◽  
Economic Data ◽  
Economic Information ◽  
Management Support Systems ◽  
Intelligent Information

This publication presents cognitive systems designed for analysing economic data. Such systems have been created as the next step in the development of classical DSS systems (Decision Support Systems), which are currently the most widespread tools providing computer support for economic decision-making. The increasing complexity of decision-making processes in business combined with increasing demands that managers put on IT tools supporting management cause DSS systems to evolve into intelligent information systems. This publication defines a new category of systems - UBMSS (Understanding Based Management Support Systems) which conduct in-depth analyses of data using on an apparatus for linguistic and meaning-based interpretation and reasoning. This type of interpretation and reasoning is inherent in the human way of perceiving the world. This is why the authors of this publication have striven to perfect the scope and depth of computer interpretation of economic information based on human processes of cognitive data analysis. As a result, they have created UBMSS systems for the automatic analysis and interpretation of economic data. The essence of the proposed approach to the cognitive analysis of economic data is the use of the apparatus for the linguistic description of data and for semantic analysis. This type of analysis is based on expectations generated automatically by a system which collects resources of expert knowledge, taking into account the information which can significantly characterise the analysed data. In this publication, the processes of classical data description and analysis are extended to include cognitive processes as well as reasoning and forecasting mechanisms. As a result of the analyses shown, we will present a new class of UBMSS cognitive economic information systems which automatically perform a semantic analysis of business data.

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