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Investigating Critical Factors Affecting the Adoption of Technology for Overall Development of HEI

机译:调查影响HEI全面发展的技术采用的关键因素

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Information Technology is the combination of two words - “Information” and “Technology”. The above term is very easy to pronounce but having deep inside to elaborate and involutes about the insights of the given term is very vast and include an ocean of “information” when synthesizing with the “technology”. This is the reason that the people nowadays have named this ERA or generation as “The Era of Information Technology”. The Higher Education Institutes are not unaware of the requirement and importance of IT in the working area with respect to both the faculty and the students. As a result maximum amount of the money is being invested by these HEI's on the IT and the other allied resources to digitalize the entire routine working of the institute, from a small task to the bigger volumes of transactions, irrespective of its nature. The present paper basically focuses on the identification of crucial factors that led HEIs to adopt the technology. Further, the study has been carry forwarded to identify the significant difference between technology adoption factors and gender as demographic variables. To conduct the study online questionnaire was designed and 70 useful responses analysis was done. The analysis of the responses was done on IBM SPSS software using Exploratory Factor Analysis and Independent T-test. The study identified 5 factors that influence HEIs to adopt the technology. Furthermore, it is also revealed from the study that there is no significant difference between technology adoption factors and gender.
机译:信息技术是“信息”和“技术”这两个词的组合。上面的术语很容易发音,但是对于给定术语的洞察力很深,内心深处很复杂,并且在与“技术”进行综合时包含“信息”的海洋。这就是当今人们将这个ERA或这一代称为“信息技术时代”的原因。对于学院和学生而言,高等院校并没有意识到IT在工作区域中的要求和重要性。结果,这些HEI将最大的资金投​​入到IT和其他相关资源上,以数字化研究所的整个日常工作,从小任务到大笔交易,无论其性质如何。本文主要着眼于确定导致HEI采用该技术的关键因素。此外,该研究已经进行到确定技术采用因素和性别之间的显着差异作为人口统计变量。为了进行研究,设计了在线问卷,并进行了70次有用的响应分析。使用探索性因子分析和独立T检验,在IBM SPSS软件上对响应进行了分析。该研究确定了影响HEI采用该技术的5个因素。此外,该研究还表明,技术采用因素与性别之间没有显着差异。

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