The Role of Cognitive Fit in the Relationship between Software Comprehension and Modification

Shaft,; Vessey,

doi:10.2307/25148716

Cited by 148 publications

(128 citation statements)

References 45 publications

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“…Consequently, the cognitive effort that can be allocated to the evaluation itself is limited, thus increasing the risk of cognitive overload. Higher levels of perceived ease of use should result in higher decision quality (Shaft andVessey 2006, Vessey andDennis 1991). Thus, we purport:…”

Section: Perceived Ease Of Usementioning

confidence: 99%

“…Decision Quality Cognitive theory considers tasks at different levels of abstraction (Shaft and Vessey 2006). The task of evaluating ideas is represented by the mechanism that is provided to the user.…”

Section: Idea Evaluation Mechanism Accuracy Andmentioning

confidence: 99%

“…Cognitive fit reflects an interaction between both mental representations. In the case of good fit between a task and its representation, mental representations can be used straightaway to solve a given task; however, in the case of a poor fit, users must invest cognitive effort for sense-making and adapting mental models to solve the task, thus resulting in higher cognitive load (Shaft and Vessey 2006).…”

Section: Perceived Ease Of Usementioning

confidence: 99%

“…Extending this argument, cognitive load theory suggests an interaction between cognitive capacity and task complexity. For instance, the results of Shaft and Vessey (2006) and Speier (2006) indicate that the cognitive load imposed by a task representation has a stronger negative effect on decision quality for complex tasks than it has for easy tasks. Their research suggests that the effect of perceived ease of use on decision quality might be moderated by perceived task variability.…”

Section: Perceived Task Variabilitymentioning

confidence: 99%

“…Users need invest little cognitive effort in handling unexpected stimuli and maintaining a sense of control while they use the mechanisms (Haerem and Rau 2007). Thus, there is small risk of cognitive overload hampering decision quality, as users perceiving the task to be less variable can operate the idea evaluation within the boundaries of their cognitive system (Shaft andVessey 2006, Speier 2006). Consequently, the effect of perceived ease of use on decision quality should become weaker for users perceiving the task to be of low variability.…”

Section: Perceived Task Variabilitymentioning

confidence: 99%

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Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Blohm

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et al. 2016

Information Systems Research

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I nformation technology (IT) has created new patterns of digitally-mediated collaboration that allow opensourcing of ideas for new products and services. These novel sociotechnical arrangements afford finely-grained manipulation of how tasks can be represented and have changed the way organizations ideate. In this paper, we investigate differences in behavioral decision-making resulting from IT-based support of open idea evaluation. We report results from a randomized experiment of 120 participants comparing IT-based decision-making support using a rating scale (representing a judgment task) and a preference market (representing a choice task). We find that the rating scale-based task invokes significantly higher perceived ease of use than the preference market-based task and that perceived ease of use mediates the effect of the task representation treatment on the users' decision quality. Furthermore, we find that the understandability of ideas being evaluated, which we assess through the ideas' readability, and the perception of the task's variability moderate the strength of this mediation effect, which becomes stronger with increasing perceived task variability and decreasing understandability of the ideas. We contribute to the literature by explaining how perceptual differences of task representations for open idea evaluation affect the decision quality of users and translate into differences in mechanism accuracy. These results enhance our understanding of how crowdsourcing as a novel mode of value creation may effectively complement traditional work structures.

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Section: Perceived Ease Of Usementioning

confidence: 99%

Section: Idea Evaluation Mechanism Accuracy Andmentioning

confidence: 99%

Section: Perceived Ease Of Usementioning

confidence: 99%

Section: Perceived Task Variabilitymentioning

confidence: 99%

Section: Perceived Task Variabilitymentioning

confidence: 99%

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Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Blohm

Riedl

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Information Systems Research

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Underestimation of Jingle Fallacy Influences on Systems Acquisitions

Robinson

2020

Syst Res Behav Sci

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This research paper analyzes the experiences of participants on projects at various stages of systems acquisition where jingle fallacy miscommunications impacted their projects' execution and outcomes. The participant's experiences, collected as part of a larger phenomenological study, represent both government and commercial project executions, primarily related to information technology solutions along with some hardware-centric projects. This analysis focuses particularly on establishing a sharedness of participants' experiences and similarity of influences through disparate jingle fallacies across diverse acquisitions. The research findings regarding the participant's experiences reflect a common evolution of their jingle fallacy's lifecycles and their acquisition project impacts.

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Information Systems Implementation for Asset Management: A Theoretical Perspective

Haider

2012

Asset Condition, Information Systems and Decision Models

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The Role of Cognitive Fit in the Relationship between Software Comprehension and Modification

Abstract: Abstract

Cited by 148 publications

References 45 publications

Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Underestimation of Jingle Fallacy Influences on Systems Acquisitions

Information Systems Implementation for Asset Management: A Theoretical Perspective

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