EXPECTATION CONFIRMATION IN INFORMATION SYSTEMS RESEARCH: A TEST OF SIX COMPETING MODELS
EXPECTATION CONFIRMATION IN INFORMATION SYSTEMS RESEARCH: A TEST OF SIX COMPETING MODELS
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DOI：
10.25300/misq/2014/38.3.05
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发表时间：
2014-09-01
期刊：
影响因子：
7.3
通讯作者：
Goyal, Sandeep
中科院分区：
文献类型：
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作者：
Brown, Susan A.;Venkatesh, Viswanath;Goyal, Sandeep
一般而言，期望确认研究，特别是信息系统（IS）领域的研究，产生了相互矛盾的结果。在本文中，我们讨论了六种不同的期望确认模型：同化、对比、广义否定、同化对比、仅经验和仅期望。依靠技术接受模型 (TAM) 的关键构造，我们测试了这六个模型中的每一个，这些模型对关键预测因素的期望和体验（此处为感知有用性）及其对关键结果（此处为行为意图、使用和满意度）的影响提出了不同的角色。数据是在两个时间点对 1,113 名参与者进行的实地研究中收集的。使用多项式建模和响应面分析，我们为六个模型中的每一个提供了分析表示，并对它们进行了实证测试，以证明同化对比是最好的现有模型，因为它能够解释信息系统实施的个体层面研究中感知有用性的期望和体验以及重要的因变量（即行为意图、使用和满意度）之间的关系。
Expectation confirmation research in general, and in information systems (IS) in particular, has produced conflicting results. In this paper, we discuss six different models of expectation confirmation: assimilation, contrast, generalized negativity, assimilation-contrast, experiences only, and expectations only. Relying on key constructs from the technology acceptance model (TAM), we test each of these six models that suggests different roles for expectations and experiences of the key predictor-here, perceived usefulness-and their impacts on key outcomes-here, behavioral intention, use, and satisfaction. Data were collected in a field study from 1,113 participants at two points in time. Using polynomial modeling and response surface analysis, we provide the analytical representations for each of the six models and empirically test them to demonstrate that the assimilation-contrast is the best existing model in terms of its ability to explain the relationships between expectations and experiences of perceived usefulness and important dependent variables-namely, behavioral intention, use, and satisfaction-in individual-level research on IS implementations.