Factors that affect the acceptance of new technologies in the workplace: a cross case analysis between two universities.

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Bibliographic Details
Title: Factors that affect the acceptance of new technologies in the workplace: a cross case analysis between two universities.
Authors: Skoumpopoulou, Dimitra1, Wong, Adam2, Ng, Peggy2, Man Fung Lo2
Source: International Journal of Education & Development using Information & Communication Technology. 2018, Vol. 14 Issue 3, p209-222. 14p.
Subject Terms: *Information technology, *Employee attitudes, *University faculty
Abstract: The introduction of a new IT application within an organisation represents change, and the acceptance of such change starts with the individual end users since they are the ones that often resist the newly introduced IT. With the use of survey, this research identified the factors that affect the acceptance of new technologies in the workplace in order to understand better how end-users can influence the successful introduction of IT in academic institutions. We used one Higher Education Institution (HEI) in Hong Kong and one HEI in the UK in order to gather our data and cross analyse the differences between the two institutions. Our research showed that the staff at both universities have a high Behavioral Intention (BI) to use new technologies. However, there was no significant difference between the two universities, which meant these dimensions had no effect on the staff who worked at these universities. [ABSTRACT FROM AUTHOR]
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Database: Education Research Complete
Description
Abstract:The introduction of a new IT application within an organisation represents change, and the acceptance of such change starts with the individual end users since they are the ones that often resist the newly introduced IT. With the use of survey, this research identified the factors that affect the acceptance of new technologies in the workplace in order to understand better how end-users can influence the successful introduction of IT in academic institutions. We used one Higher Education Institution (HEI) in Hong Kong and one HEI in the UK in order to gather our data and cross analyse the differences between the two institutions. Our research showed that the staff at both universities have a high Behavioral Intention (BI) to use new technologies. However, there was no significant difference between the two universities, which meant these dimensions had no effect on the staff who worked at these universities. [ABSTRACT FROM AUTHOR]
ISSN:18140556