Decision Support Systems Application Development Trends (2002 – 2012)

Decision Support Systems Application Development Trends (2002 – 2012)

Eyong B. Kim (Department of Management, University of Hartford, West Hartford, CT, USA) and Sean B. Eom (Department of Accounting, Southeast Missouri State University, Cape Girardeau, USA)
DOI: 10.4018/IJISSS.2016040101
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Abstract

This survey provides newly reported approaches to the design and development of DSSs published in peer reviewed journals. DSS applications were searched using the online database ABI/INFORM complete, which is available on the web through ProQuest. The collected 80 specific DSS applications, where were published in 41 journals, are analyzed to examine the development pattern of DSS in the time period of 2002-2012. This paper summarizes the survey results according to (1) the area of application, (2) the year of publication in each area of application, (3) the distribution of underlying decision support tools in DSSs, (4) a classification based on Alter's taxonomy, and (5) the management level (operational, tactical, or strategic) for which the DSS was designed.
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Selection Criteria

DSS applications were searched using the online database ABI/INFORM complete, which is available on the web through ProQuest, a premier information access and retrieval system. ABI/INFORM includes thousands of leading English language business and management journals. ProQuest is a key partner for content holders of all types, preserving and enabling access to their rich and varied information. These partnerships have built a growing content collection that now encompasses 90,000 authoritative sources, 6 billion digital pages, and spans six centuries.

As a continuation of previous research (H. B. Eom & Lee, 1990; S. B. Eom, Lee, Kim, & Somarajan, 1998), the same selection criteria used in the previous surveys are used here to compile DSS applications. A “DSS is defined as a computer-based interactive system that supports decision-makers rather than replaces them; utilizes data and models; solves problems with varying degrees of structure: non-structured (unstructured or ill-structured) (Bonczek, Holsapple, & Whinston, 1981), semi-structured (Bennett, 1983; Keen & Scott Morton, 1978), semi-structured and unstructured tasks (Sprague & Carlson, 1982), and structured, semi- structured, and unstructured (Thierauf, 1982)] and focuses on the effectiveness rather than the efficiency of decision processes (facilitating decision processes).”

Using the descriptor, “decision support systems”, a large number of articles (approximately a 7740) were retrieved. Of these, only 80 specific DSS applications are selected for further analysis. The selected DSS applications satisfy the following criteria. They should include the following:

  • A description of a semi- or unstructured decision

  • A description of the human-computer interface and the nature of the computer-based support for human decision-makers’ intuitions and judgments

  • A description of a data-dialogue-model system.

Analysis

The collected 80 specific DSS applications, which were published in 41 journals, are analyzed to examine the development pattern of DSS in the time period of 2002-2012. This paper summarizes the survey results according to the following:

  • Area of application

  • The year of publication in each area of application

  • The distribution of underlying decision support tools in DSSs

  • A classification based on Alter’s taxonomy

  • The management level (operational, tactical, or strategic) for which the DSS is designed

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