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Enterprise information technology adoption in government institutions| A quantitative study

<p> The purpose of this quantitative descriptive study was to describe the Washington, District of Columbia and metropolitan (DMV) area-based federal government employee perspectives on the adoption of enterprise information technologies. The sample size of this study consisted of 132 participants. The inability to accept or reject the hypothesis in this research was determined by descriptive statistics (means and standard deviation). Drawing from theoretical frameworks involving leadership, culture, human and organizational behavior, and decision-making, this study involves the introduction of an integrated model to describe the complexities of technology adoption in a single, comprehensive view. The comprehensive model attempted to emphasize interrelationships between key elements involved in organizational technology adoption, including how innovation spreads from various sources to influence organizational perceptions for both members and leaders. Additionally, this study also introduced a new survey tool (Employee Perceptions on Adoption of Enterprise Information Technology), and attempted to determine to what extent different factors affected enterprise information technology adoption. Data collected from this research effort suggested that government employees believe leadership represents the main factor influencing technology adoption in government organizations, with cost as the second leading factor. Government employees, however, did not believe that culture represented a key influence on technology adoption. Findings from this study may offer new insights on how to conduct technology adoption more effectively, and provide the foundation for recommending ways to create a successful enterprise system implementation. The main recommendation for future study is exploration of the Integrated Technology Adoption Model (ITAM) and the Employee Perceptions on Adoption of Enterprise Technology Survey. </p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3727498
Date22 October 2015
CreatorsJordan, Eric A.
PublisherUniversity of Phoenix
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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