Essays on The Significance of Involving DSS and GDSS in Reinforcing Effective Business Management Coursework

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The paper "The Significance of Involving DSS and GDSS in Reinforcing Effective Business Managementtitle" is an engrossing example of coursework on management. Business organizations have recognized the need for managing decision making in their operations in recent years. The decision-making process plays a critical in the planning and coordinating process that enables a business to achieve its goals and objectives. The adoption of the Decision Support Systems and the Group Decision Support Systems has brought a tremendous impact on the management of the decision-making process. The technological advancements have led to the integration of both the DSS and the GDSS into the management information system.

This measure has also enhanced the process of solving spreadsheets tasks. There are several types of DSS, for example, the document-driven, communication-driven, and knowledge-driven decision support systems. All these subdivisions of DSS create an enabling environment for the integration of technology in decision making. The major types of GDSS include the Delphi Approach and the Group Consensus Approach. Both approaches have enhanced the relationships among the teams. Moreover, GDSS has boosted the decision-making process and also ensured efficient management reporting.

The DSS has improved control of a business since it shapes the decisions that are made within the business. The end-user computing has also enhanced the decision-making process among business organizations. Introduction The advancement of Information Technological infrastructure has led to the development of the DSS and the GDSS. These vital decision-making support systems have shaped the operations of the business organization leading to effective business management. The adoption of the decision support systems has created an enabling environment for the making of insightful decisions in the firm.

The decision support systems boost teamwork within an organization and also make communication efficient. The application of technology has also enhanced the decision-making process since the creation of supportive systems within the business framework. The report examines the benefits of reinforcing the DSS and the GDSS in effective business management. Through creating a sustainable environment in the company, the development of the DSS and the GDSS has enhanced the process of managing modern business organizations.

References

Berenson, M Levine, D Szabat, KA & Krehbiel, TC 2012, Basic business statistics: Concepts and applications, Pearson higher education AU. England.

Courtney, JF 2001, ‘Decision making and knowledge management in inquiring organizations: toward a new decision-making paradigm for DSS’, Decision Support Systems, vol. 31, no.1, pp.17-38.

Doll, WJ Xia, W & Torkzadeh, G 1994, ‘A confirmatory factor analysis of the end-user computing satisfaction instrument’, MIS Quarterly, vol. 23, no.5, pp.453-461.

Freer, M Moore, AD & Donnelly, JR 1997, ‘Decision support systems for Australian Business Enterprises’, Journal of Business Management, vol. 54, no. 1, pp.77-126.

Frolick, MN & Ariyachandra, TR 2006, ‘Business performance management: One truth’, IS Management, vol. 23, No. 1, pp.41-48.

Gallupe, RB & McKeen, JD 1990, ‘Enhancing computer-mediated communication: An experimental investigation into the use of a group decision support system for face-to-face versus remote meetings’, Information & Management, vol. 18, no. 1, pp.1-13.

Harrison, AW & Rainer Jr, RK 1992, ‘The influence of individual differences on skill in end-user computing’, Journal of Management Information Systems, vol. 9, no. 1, pp.93-111.

Herrera-Viedma, E Martinez, L Mata, F & Chiclana, F 2005, ‘A consensus support system model for group decision-making problems with multi-granular linguistic preference relations’, IEEE Transactions on Fuzzy Systems, vol. 13, no.5, pp.644-658.

Hedgebeth, D 2007, ‘Data-driven decision making for the enterprise: an overview of business intelligence applications’, Vine, vol. 37 no.4, pp.414-420.

Igbaria, M 1990, ‘End-user computing effectiveness: A structural equation model’, Omega, vo.18, no. 6, pp.637-652.

Jessup, LM & Tansik, DA 1991, ‘Decision making in an automated environment: The effects of anonymity and proximity with a group decision support system’, Decision Sciences, vol. 22, no.2, pp.266-279.

Karmakar, S Laguë, C Agnew, J & Landry, H 2007, ‘Integrated decision support system (DSS) for manure management: A review and perspective’, Computers and Electronics in Business, vol.57, no. 2, pp.190-201.

Khodashahri, NG & Sarabi, M 2013, ‘Decision Support System (DSS)’, Singaporean Journal of Business Economics and Management Studies, vo.11, no. 6, pp. 23

Marakas, GM 2003, Decision support systems in the 21st century, Upper Saddle River, NJ: Prentice Hall.

Muhanna, WA 1993, ‘An object-oriented framework for model management and DSS development’, Decision Support Systems, vol. 9 no. 2, pp.217-229.

Nowduri, S 2011, ‘Management information systems and business decision making: review, analysis, and recommendations’, Journal of Management and Marketing Research, vol.7, no. 1 pp. 45

Premkumar, G Ramamurthy, Liu, H & Nilakanta, S 1994, ‘Implementation of electronic data interchange: an innovation diffusion perspective’, Journal of Management Information Systems, vol. 11, no. 2, pp.157-186.

Salewicz, KA & Nakayama, M 2008, ‘Development of a web-based decision support system (DSS) for managing large international rivers’, Global Environmental Change, vol.14, no.2 pp.25-37.

Sosik, JJ Avolio, BJ & Kahai, SS 1997, ‘Effects of leadership style and anonymity on group potency and effectiveness in a group decision support system environment’, Journal of applied psychology, vol. 82 no.1, pp.89.

Stoltzfus, J 2017, ‘Decision Support Systems (DSS) Applications and Uses’, Business.com, viewed 8 May 2017.

Teo, TS & Tan, M 1999, ‘Spreadsheet development and ‘what-if ‘analysis: Quantitative versus qualitative errors’, Accounting, Management and Information Technologies, vol. 9 no.3, pp.141-160.

Vogel, D & Nunamaker, J 1990, ‘Group decision support system impact: Multi-methodological exploration’, Information & Management, vol. 18, no. 1, pp.15-28.

Yam, RM & Tu, P 2001, ‘Intelligent predictive decision support system for condition-based maintenance’, The International Journal of Advanced Manufacturing Technology, vol.17, no.5, pp.383-391.

Winston, WL & Goldberg, JB 2004, Operations research: applications and algorithms, Boston: Duxbury Press.

Wolfe, J & Chanin, M 1993, ‘The integration of functional and strategic management skills in a business game learning environment’, Simulation & Gaming, vol.24, no.1, pp.34-46.

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