An Empirical Investigation of the Relationship between DSS Usage and System Performance: A Case Study of a Navigation Support System

Blanc, Louis A. Le; Kozar, Kenneth A.

doi:10.2307/248889

Cited by 38 publications

(18 citation statements)

References 21 publications

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“…As a voluntary vessel movement reporting system, NOLA-VTS provides ocean-going ships, large barge tows, and other river traffic with pertinent information to aid in making decisions as to the proper navigation strategy for the lower Mississippi river (Le Blanc and Kozar, 1990). In addition, the NOLA-VTS audits vessel accidents and records them on a daily log.…”

Section: Formal Concept Analysis and Marine Policy Decisionsmentioning

confidence: 99%

Formal concept analysis for investigation of normal accidents

Hashemi

Blanc

Kobayashi

2004

International Journal of General Systems

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Formal concept analysis (FCA) is a theory of data analysis that identifies conceptual structures among datasets. A strong feature of FCA is its capability of producing graphical visualizations of the inherent structures among data. High-risk systems have some special characteristics that result in inevitable accidents. This research utilizes FCA to investigate vessel accidents on the lower Mississippi river. FCA identifies the concepts that are vital indicators of a special type of accident, a collision.It is possible to analyze navigation environments and thereby gain a better understanding of these accidents. Such accidents may not be completely eliminated, though it is beneficial to identify when they were most likely to occur and take appropriate control measures. Furthermore, identification of the most dangerous environments might suggest specific safety regimens and regulatory control designs.The FCA suggests three groups of policy decisions, representing a series of increasingly dangerous situations for vessel traffic in a treacherous inland waterway. The three groups are made of: two sets of "cautionary" conditions, three sets of "serious" conditions, and one set for "prohibitive" action, respectively. The FCA does not make decisions; it clearly identifies distinct environments that require guidelines (i.e. regimens) for safe navigation to lessen or eliminate normal or system accidents.

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Section: Formal Concept Analysis and Marine Policy Decisionsmentioning

confidence: 99%

Formal concept analysis for investigation of normal accidents

Hashemi

Blanc

Kobayashi

2004

International Journal of General Systems

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“…A review of the literature indicated that many excellent studies have been reported on the use of particular types of systems, such as MIS (Cheney & Dickson, 1982), Decision Support Systems (DSS) (Le Blanc & Kozar, 1990;Sharda et al, 1988), Group DSS (GDSS) (Dennis et al, 1990), e-mail and Executive Information Systems (EIS) (Leidner & Elam, 1993). in decision making.…”

Section: From Specific Systems To Organizational Computingmentioning

confidence: 99%

“…The concept of intensity of use has been employed in prior IS research (Le Blanc & Kozar, 1990;Leidner & Elam, 1993;Sanders & Courtney, 1985;Srinivasan, 1985;Thompson et al, 1991). In this study, we intend to capture the full meaning of the notion of "intensity" by attempting to measure both the quality and quantity of computing and communication usage.…”

Section: Measurement Of Independent Variablesmentioning

confidence: 99%

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Organizational Computing as a Facilitator of Operational and Managerial Decision Making: An Exploratory Study of Managers' Perceptions*

Teng

Calhoun

1996

Decision Sciences

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Much of the current knowledge pertaining to information technology (IT) and decision making is based on decades old technologies that revolved around a central computing function and application-specific systems. The purpose of this research is to examine the IT decision-making relationship within the emerging organizational computing (OC) environment permeated by spontaneous utilization of both applicationand nonapplication-specific computing and communication technologies. Specifically, this study seeks to explore managers' perceptions of the emerging OC environment as a facilitator of their decision-making activities. To achieve a higher level of clarity than previous works, a two-dimensional research framework is developed with the IT dimension consisting of computing and communication, and the decisionmaking dimension differentiated between operational and managerial decisions. A survey instrument was constructed that measured the computing and communication dimensions of information technology use and their perceived effects upon operational and managerial decisions. The major findings of the study confirmed that managers recognize the value of general, nonapplication-specific information technologies in decision making, and that this recognition is highly associated with how intensively these information technologies are used. Additionally, it was found that the two dimensions of IT differ in their relationships to decision making, and that IT usage relates to managerial decisions differently than operational decisions. These study findings have significant implication for practice and research, especially in the context of information resource management in which the primary purpose of the IS function is the delivery of general information service to users rather than the development of specific IS applications. *The authors wish to thank the anonymous reviewers and the associate editor for their constructive comments. 61 3

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“…Task-Technology Fit (TTF) theory [5][6][7][8]4] and the Technology Acceptance Model [9][10][11] state that perceived usefulness informs engagement with and utilization of decision support technologies [10,5,12]. As such, system utilization constitutes an important observation by which to evaluate the performance of a decision support system for a given user base and task.…”

Section: Introductionmentioning

confidence: 99%

Evaluating user interaction with a web-based group decision support system: A comparison between two clustering methods

Swobodzinski

Jankowski

2015

Decision Support Systems

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Keywords:Web-based group decision support systems Human-computer interaction Server log analysis Use pattern evaluation Cluster analysis Task-Technology Fit theory and the Technology Acceptance Model identify system utilization as an important indicator for the performance of complex software systems. Yet, empirical evaluations of user interaction with group decision support systems are scarce and often methodologically underdeveloped. For this study we employed an exploratory evaluation of user interaction in the context of web-based group decision support systems. Specifically, we used information-rich server logs captured through a web-based platform for participatory transportation planning to identify groups of users with similar use patterns. The groups were derived through multiple sequence alignment and hierarchical cluster analysis based on varying user activity measures. Subsequently, we assessed the reliability of the classifications obtained from the two clustering methods. Our results indicate limited reliability of classifications of activity sequences through multiple sequence alignment analysis and robust groupings from hierarchical cluster analysis for user activity initiations and durations. The presented work contributes a novel methodological framework for the evaluation of complex software systems that extends beyond the common approach of soliciting user satisfaction.

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An Empirical Investigation of the Relationship between DSS Usage and System Performance: A Case Study of a Navigation Support System

Cited by 38 publications

References 21 publications

Formal concept analysis for investigation of normal accidents

Formal concept analysis for investigation of normal accidents

Organizational Computing as a Facilitator of Operational and Managerial Decision Making: An Exploratory Study of Managers' Perceptions*

Evaluating user interaction with a web-based group decision support system: A comparison between two clustering methods

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