Analysis of Acceptance and Success Implementation of Academic Information System (SIAk) Based on Technology

Abstract

The research objective is to predict and explain the acceptance and success of the implementation Academic Information System (SIAk) based on technology by Undiksha academic society. Data collection methods used pick up survey for sixth and seventh semester students undergraduate program, academic staff and lecturers at Undiksha where data are processed using Partial Least Squares (PLS). The results showed, all constructs had a positive effect on the construct of behavioral intentions except the construct of system quality and construct of perceived usefulness became the main determinant. All constructs also influence the construct of use behavior where the construct of information quality becomes the main determinant. All of constructs in the acceptance and success models can predict and explain the implementation of it used by Undiksha academic community. Finally, it is need to be improvement and development to adapt user needed, especially the user responses for implementation of it.

Determinants of Implementation SIAPIK for Small Medium Enterprise

“…The results of this study are consistent with research [9], [23], [24] and [26] However, the results of this study do not support the results of the study [27] because they believe that there are benefits to be gained from the use of the information system. For example, trying to enter transactions according to real SMEs transactions, then being able to view ledgers and financial reports automatically, of course, making SMEs more interested.…”

“…The instrument is an instrument from previous research where the statement sentence is modified so that SMEs have no difficulty in providing answers to the statements submitted by the researcher. Researchers use instruments from research's [21], [22], [23], [24] Researchers use Partial Least Square (PLS) as a data analysis tool because the purpose of this study is to predict and explain [25]. This study had a strong hypothesis effect because it was designed to test the validity of the TAM constructs and the constructs added to predict and explain the behavioral intention or desire of SMEs in using SIAPIK.…”