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Dissertation/Thesis Abstract

The Impact of Technology Acceptance and Openness to Innovation on Software Implementation
by Bertini, Michael M., D.I.T., Walden University, 2016, 147; 10159891
Abstract (Summary)

Senior management decisions to foster innovation and adopt new technology solutions have serious implications for the success of their organization change initiatives. This project examined the issue of senior management decision or reasons of their decision to adopt new Enterprise Resource Planning (ERP) systems as a solution to solve their business problems. This project investigated the degree that perceived ease of use and usefulness of the ERP system influenced decisions made by senior managers to innovate. Roger’s diffusion of innovations theory and Davis technology acceptance model theory were used to predict when senior managers were open to innovation, and whether senior managers made decisions to adopt new technological innovations. Out of the 3,000 randomly selected senior managers of small to medium sized organizations in the United States who were invited via emails to participate, 154 completed the online survey. Binary logistic regression analysis on the collected data failed to produce statistically significant support for the claim that perceived ease of use, perceived usefulness, and openness to innovation should impact the senior manager’s decision to innovate. The conclusions of this study suggest further research may include a qualitative design to gain a deeper understanding of the underlying reasons, opinions and motivations on the emotive aspects of the decision-making process in the adoption of ERP software innovations. It also offers a positive social change to stakeholders who are potentially affected by technology innovation and adoption by providing empirically validated evidence for causes of senior management technology decisions.

Indexing (document details)
Advisor: Lee, Lee
Commitee: Igein, Godwin
School: Walden University
Department: Information Systems and Technology
School Location: United States -- Minnesota
Source: DAI-B 78/02(E), Dissertation Abstracts International
Subjects: Accounting, Information Technology, Information science
Keywords: Decision theory, Diffusion of innovation, Enterprise resource planning, Innovation, Management, Technology acceptance
Publication Number: 10159891
ISBN: 978-1-369-14819-0
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