THE ROLE OF COMPLEXITY WITHIN INTELLIGENT DECISION AIDS ON USER RELIANCE: AN EXTENSION OF THE THEORY OF TECHNOLOGY DOMINANCE

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Williams, B. (2020). THE ROLE OF COMPLEXITY WITHIN INTELLIGENT DECISION AIDS ON USER RELIANCE: AN EXTENSION OF THE THEORY OF TECHNOLOGY DOMINANCE. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

A decision aid only works if used within the decision-making process. As computational power and data storage become more accessible across industries, reliance on intelligent decision aids, those with embedded decision-making technologies, will become more necessary to address the increase in volume, velocity, and variety of data that is now available for use to make decisions. We analyzed over 4900 transactions provided by an organization utilizing an intelligent decision aid as part of their business processes. Using multilevel regression analysis, this dissertation evaluates whether or not differences in the complexity of embedded agents used within intelligent decision aids influence Decision Aid Reliance and whether Decision Aid Complexity moderates the relationships proposed in the Theory of Technology Dominance; Task Experience, Cognitive Fit or User Familiarity. We found that the complexity of a decision aid’s embedded agent is negatively associated with Decision Aid Reliance and negatively moderates the relationship between Decision Aid Complexity and Task Experience. Our results provide additional empirical evidence to support and extend Arnold & Sutton’s (1998) Theory of Technology Dominance.

Details
Author

Williams, Bradley

Title

THE ROLE OF COMPLEXITY WITHIN INTELLIGENT DECISION AIDS ON USER RELIANCE: AN EXTENSION OF THE THEORY OF TECHNOLOGY DOMINANCE

Physical Description

1 online resource (105 pages) : PDF

Date

2020

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

A decision aid only works if used within the decision-making process. As computational power and data storage become more accessible across industries, reliance on intelligent decision aids, those with embedded decision-making technologies, will become more necessary to address the increase in volume, velocity, and variety of data that is now available for use to make decisions. We analyzed over 4900 transactions provided by an organization utilizing an intelligent decision aid as part of their business processes. Using multilevel regression analysis, this dissertation evaluates whether or not differences in the complexity of embedded agents used within intelligent decision aids influence Decision Aid Reliance and whether Decision Aid Complexity moderates the relationships proposed in the Theory of Technology Dominance; Task Experience, Cognitive Fit or User Familiarity. We found that the complexity of a decision aid’s embedded agent is negatively associated with Decision Aid Reliance and negatively moderates the relationship between Decision Aid Complexity and Task Experience. Our results provide additional empirical evidence to support and extend Arnold & Sutton’s (1998) Theory of Technology Dominance.

Genre

doctoral dissertations

Subjects--Topics

Operations research
Information science

Degree

D.B.A.

Keywords

Complexity
Decision Aid
Embedded Agent

Subject Area

Business Administration

Advisor(s)

Silver, Reginald

Degree Note

Thesis (D.B.A.)--University of North Carolina at Charlotte, 2020.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Williams_uncc_0694D_12353

Permalink

http://hdl.handle.net/20.500.13093/etd:2638