摘要
[目的／意义]建立在期望确认理论上的信息系统持续使用模型自提出后，被广泛用于预测用户持续使用意愿的研究中，但所得结论存在着不一致甚至彼此矛盾的情况。因此，需要对模型变量关系的稳定性给出客观评价，为后续研究提供指导和参考。[方法／过程]选择茶萃分析作为研究方法，提取108篇文献中的样本量、相关系数等数据信息，进行描述性分析，计算效应值、失效安全系数等。[结果／结论]研究表明，模型中五组变量关系的效应值和失效安全系数均通过稳定性检验，但其中“感知有用性-持续使用意愿”“感知有用性-满意度”两组变量关系的效应值和失效安全系数偏低，对此进行了原因剖析并给出建议。
[ Purpose/significance] Since the expectation confirmation model of IS continuance was put forward, it is widely used in the prediction of continuance intention, but the conclusion is inconsistent or contradictory. Therefore, the evaluation is very important. [ Method/process ] In this paper, the meta-analysis was used as the method to extract the data of sample size and correlation coefficient in 108 articles. This paper analyzed the descriptive statistics, the calculation effect size, the failure-safety number of the extracted data. [ Result/conclusion ] The results show that the effect size and the failure-safety number of the five groups of variables in the model are stable, but the effect size and the failure-safety number of the ＂perceived usefulness-continuance intention＂ and the ＂perceived usefulness- satisfaction＂ are low, whose reasons are analyzed in this paper. At last, this paper gives recommendations.
出处
《图书情报工作》
CSSCI
北大核心
2018年第1期54-60,共7页
Library and Information Service
基金
国家社会科学基金项目“大数据驱动的公共服务跨层级联动创新研究”(项目编号:17BGL263)研究成果之一
关键词
信息系统持续使用模型
期望确认理论采纳
荟萃分析
效应值相关系数
IS continuance model expectation confirmation theory adoption meta-analysis effect size pearson correlation coefficient
