Exploring the Influences of the Technology Acceptance Model and Information System Success Model on the Cloud-based Call Service System: A Case Study.

碩士 === 國立宜蘭大學 === 多媒體網路通訊數位學習碩士在職專班 === 104 === With the rapid development of information technology and Internet, there is a widespread trend that industries will adopt information technology to deal with works. Several of official institutes also take advantage of information technology so as...

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Bibliographic Details
Main Authors: LIAO,TE-CHANG, 廖德昌
Other Authors: HUANG,CHAO-HSI
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/xb8r74
Description
Summary:碩士 === 國立宜蘭大學 === 多媒體網路通訊數位學習碩士在職專班 === 104 === With the rapid development of information technology and Internet, there is a widespread trend that industries will adopt information technology to deal with works. Several of official institutes also take advantage of information technology so as to achieve the goal of Electronic administration and cyber-management. The research, by combining Technology Acceptance Model (TAM) with Information Systems Success Model, aims at examining the factors in affecting users’ acceptance and usage inclination after the implementation of Cloud-based Call Service System in a bureau in Taipei City Government. The research’s result will help system provider to improve the Cloud-based Call Service System. On the basis of Technology Acceptance Model (TAM) by Davis’ (1989) and Information Systems Success Model by DeLone and McLean (2003) along with personal background as outer variables, the research will design a questionnaire according to the original questionnaires of Technology Acceptance Model (TAM) and to the measure items of the Information Systems Success Model. After conducting a questionnaire for those who’ve used Cloud-based Call Service System in a bureau in Taipei City Government and then analyzing the research’s theoretical framework and path’s cause and effect by SPSS22, we come to series of conclusions listed in the following, (1)Users’ Gender causes significant difference for Perceived Usefulness & Perceived Ease of Use. (2)Users’ using experience causes significant difference for Perceived Usefulness & Perceived Ease of Use. (3)Users’ education background causes significant difference for Perceived Usefulness & Perceived Ease of Use. (4)System Quality will have a positive impact on Perceived Usefulness & Perceived Ease of Use. (5)Information Quality will have a positive impact on Perceived Ease of Use. (6)Perceived Ease of Use will have a positive impact on Perceived Usefulness. (7)Perceived Usefulness & Perceived Ease of Use will have a positive on users’ using attitude. (8)Using attitude will have a positive impact on system’s using inclination. The research’s outcome points out that System Quality and Information Quality have an impact on users’ inclination to adopt Cloud-based Call Service System. Given this condition, the construction of the system shall focus on System Quality and Information Quality in order to increase the usage inclination for the system. Meanwhile, the research in discussion is to establish a system of usage inclination which can measure Cloud-based Call Service System. Accordingly, the model can be applied for future planning, executing, and evaluating and improving systems to increase usage inclination in certain institutes and corporations.