Bishnoi, Rakesh (2023) Investigating the impact of feedback intervention and social facilitation on users’ satisfaction, productivity and mindfulness. Masters thesis, Concordia University.
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Abstract
Among many productions and lifestyle technological products, scheduling applications are emerging as a viable solution. Existing research has studied productivity with meagre attention to continuance intention to use the technology. The current study attempts to examine users’ continuance intention in the context of scheduling mobile application by integrating expectation confirmation theory with feedback intervention theory and social facilitation theory. Specifically, this study will extend the expectation confirmation model (ECM) by adding feedback interventions and social facilitation as antecedents to ECM to examine continuance intention based on variables of scheduling applications. A one week long longitudinal experiment with 55 participants was conducted assigning them different scheduling tasks of a mobile application followed by a post study questionnaire. Structural Equation Modeling (SEM) was employed to validate the proposed research model and test the hypotheses. We found a significant influence of perceived usefulness and satisfaction on users’ continuance intention leading to positive effect on productivity with use of application. However, no significant relationship was found between perceived usefulness and satisfaction. Furthermore, the study found a strong effect of confirmation on satisfaction and a positive influence of satisfaction on mindfulness. This study will contribute to expanding our understanding of the factors that influence users’ continuance intention of using scheduling mobile applications and their impact on productivity and mindfulness.
Divisions: | Concordia University > John Molson School of Business > Supply Chain and Business Technology Management |
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Item Type: | Thesis (Masters) |
Authors: | Bishnoi, Rakesh |
Institution: | Concordia University |
Degree Name: | M. Sc. |
Program: | Business Administration (Supply Chain and Business Technology Management specialization) |
Date: | 29 November 2023 |
Thesis Supervisor(s): | Mirhoseini, Mahdi |
ID Code: | 993412 |
Deposited By: | Rakesh Bishnoi |
Deposited On: | 13 Feb 2024 21:01 |
Last Modified: | 04 Jun 2024 14:24 |
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