The effect of system feedback and decision context on value-based decision-making behavior

Hosack, Bryan

doi:10.1016/j.dss.2006.03.005

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…For instance, organisational decision are typically derived from a vast amounts of data, information and/or knowledge that is related to the problem space prior to selecting an appropriate course of action. The appropriate mix of information depends on the characteristics of the decision making context [27], and particularly environmental aspects that influence value-based decisions [28]. The current approach of developing DSS to support a specific organisational decisions requires experts to tailor it corporate related information streams.…”

Section: Lispmentioning

confidence: 99%

Decision-Making in a Distributed and Dynamically Scalable Environments

Tweedale

2015

Intelligent Decision Technology Support in Practice

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Experiments conducted by the Knowledge-Based Intelligent Information and Engineering Systems (KES) Centre use Java to gain its many advantages, especially in a distributed and dynamically scalable environment. Interoperability within and across ubiquitous computing operations has evolved to a level where plug 'n' play protocols can be used to invoke common interfaces. Designers are able to create dynamic interfaces using reflectance to effectively and efficiently conduct distributed decision-making. Many applications now use mobile agents to support web-centric activities. One example includes: dynamic agent functionality within simulations that automatically adapt to incoming data and/or languages via scripts or messaging. This has been shown using demonstrations described herein. Many are web centric and involve data mining or the use of other types of Intelligent Decision Support System (IDSS).

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Section: Lispmentioning

confidence: 99%

Decision-Making in a Distributed and Dynamically Scalable Environments

Tweedale

2015

Intelligent Decision Technology Support in Practice

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“…Decision maker behavior is expected to respond to feedback following either operant and/or reactance theory because both theories have been shown to have validity in previous research [53]. The study is designed to contribute to the literature by illustrating how operant and reactance theory can be used to explain how a decision maker's behavior changes in response to the system.…”

Section: Operant and Reactance Theorymentioning

confidence: 99%

“…The use of rank ordering means for determining the importance of a value has been used in psychology and IS research [26,29,35,53,54,56]. The distribution of values among the ten value constructs, indicate that only 38 out of the 170 subjects had two or more values tied and only eleven out of the 38 had three tied values.…”

Section: Participantsmentioning

confidence: 99%

Increasing Personal Value Congruence in Computerized Decision Support Using System Feedback

Hosack

Paradice

2014

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Abstract:The Theory of Universals in Values (TUV), a reliable and validated conceptualization of personal values used in psychology, is used to examine the effect of system feedback delivered by a Decision Support System (DSS) on personal values. The results indicate that value-based decision-making behavior can be influenced by DSS feedback to address value congruence in decision-making. User behavior was shown to follow the outcomes expected by operant theory when feedback was supportive and to follow the outcomes of reactance theory when feedback was challenging. This result suggests that practitioners and Information System (IS) researchers should consider user values when designing computerized decision feedback to adjust a system's design such that the potential user backlash is avoided or congruence between organizational and personal values is achieved.

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Bibliography

2015

Decision‐Making and the Information System

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The effect of system feedback and decision context on value-based decision-making behavior

Cited by 14 publications

References 24 publications

Decision-Making in a Distributed and Dynamically Scalable Environments

Decision-Making in a Distributed and Dynamically Scalable Environments

Increasing Personal Value Congruence in Computerized Decision Support Using System Feedback

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