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• Krishan Ayyub

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Abstract

This study explores the phenomenon of resistance to change within the context of public appreciation. Specifically, it investigates how declined expectations can negatively impact public appreciation despite the implementation of an electric approach. A mixed-methods approach was used, consisting of a survey and interviews with members of the public who had experienced a change in a service or product. Results indicate that declined expectations were associated with a decrease in public appreciation, even when an electric approach was implemented. Furthermore, the study found that resistance to change was driven by a variety of factors, including fear of the unknown, perceived loss of control, and lack of trust in the change process. These findings have important implications for organizations seeking to implement change and highlights the need for effective communication and engagement strategies to mitigate resistance to change and maintain public appreciation.

Citation

Krishan Ayyub "Resistant to Change: How Declined Expectations Affect Public Appreciation Despite an Electric Approach".  IEEE Exploration in Machine Learning, 2022.

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This paper appears in:
Date of Release: 2022
Author(s): Krishan Ayyub.
IEEE Exploration in Machine Learning
Page(s): 8
Product Type: Conference/Journal Publications