Document Type
Dissertation
Degree
Doctor of Business Administration
Major/Program
<--Please Select Department-->
First Advisor's Name
Manjul Gupta
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Mark Thibodeau
Second Advisor's Committee Title
Committee member
Third Advisor's Name
Frederick Perry
Third Advisor's Committee Title
Committee member
Fourth Advisor's Name
Mido Chang
Fourth Advisor's Committee Title
Committee member
Keywords
intelligent systems, artificial intelligent, machine learning, resource-based view, dynamic capabilities framework, competitive advantage, firm performance
Date of Defense
6-2-2022
Abstract
This research was conducted to examine the relationship between investment in intelligent systems resources and capabilities (based on artificial intelligence and machine learning algorithms) and the effect on company performance. Despite existing research on the benefits of adopting intelligent systems, companies have been slow to adopt as there is lack of research on intelligent systems use cases that will increase firm performance. This research study used resource-based view (RBV) and dynamic capabilities (DCF) theory to investigate firms’ investment in intelligent systems resources that build intelligent systems capabilities and the association to organization performance dimensions, revenue and profits. To answer this question, an online survey was administered and received responses from 165 participants from companies in Canada and USA. The study findings provide empirical evidence that intelligent systems infrastructure resources and intelligent systems IT human resources increase firm performance, but intelligent systems business resources constructs selected for the study do not contribute to firm performance.
Identifier
FIDC010723
ORCID
https://orcid.org/0000-0002-1126-092X
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended Citation
Wijesinha, Noel Romesh, "Studying the Executive Perception of Investment in Intelligent Systems and the Effect on Firm Performance" (2022). FIU Electronic Theses and Dissertations. 5074.
https://digitalcommons.fiu.edu/etd/5074
Included in
Business Administration, Management, and Operations Commons, Business Analytics Commons, Business Intelligence Commons, Management Information Systems Commons, Technology and Innovation Commons
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