User Acceptance of Agile Information Systems: A Model and Empirical Test
User Acceptance of Agile Information Systems: A Model and Empirical Test
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DOI：
10.2753/mis0742-1222280108
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发表时间：
2011-06-01
影响因子：
7.7
通讯作者：
Dhillon, Gurpreet
中科院分区：
文献类型：
--
作者：
Hong, Weiyin;Thong, James Y. L.;Dhillon, Gurpreet
为了应对用户需求的快速变化，新一代信息系统（IS）——敏捷IS应运而生。敏捷IS，是指采用敏捷方法开发的信息系统，其特点是升级频繁，定期发布少量新功能。现有的敏捷IS研究主要集中在开发者的角度，很少研究最终用户对敏捷IS的反应。借鉴态度、现状和遗漏偏差理论以及可用性启发式的三方模型，我们提出了一个模型，利用技术接受和使用的统一理论、IS持续模型、习惯和个体差异的结构来检验用户接受敏捷IS的驱动因素。此外，我们不仅调查用户继续使用敏捷IS的意图，还调查他们在发布新功能时使用的意图，这是敏捷IS最终成功的替代品。来自敏捷 IS 的 477 个用户的数据表明，用户对不断变化的舒适度、提供的便利条件以及用户的习惯是两种意图的预测因素，其中用户对不断变化的舒适度是最强的预测因素。用户继续使用敏捷IS的意图还取决于用户对过去升级的满意度和感知的有用性。最后，具有创新精神的用户更有可能使用未来版本的新功能。目前的工作填补了软件工程文献中的空白，并提供了针对敏捷 IS 的技术接受模型，敏捷 IS 正在成为快速变化的业务环境中公司 IT 组合的支柱。
In response to the rapid changes in users' requirements, a new generation of information systems (IS), namely, agile IS, has emerged. Agile IS, defined as information systems developed using agile methods, are characterized by frequent upgrades with a small number of new features released periodically. The existing research on agile IS has mainly focused on the developers' perspective with little research into end users' responses to these agile IS. Drawing upon the tripartite model of attitude, the status quo and the omission bias theories, and the availability heuristic, we propose a model that utilizes constructs from the unified theory of acceptance and use of technology, the IS continuance model, habit, and individual differences to examine the drivers of user acceptance of agile IS. Further, we investigate not only users' intentions to continue using the agile IS but also their intentions to use new features when they are released, which is a surrogate for the ultimate success of agile IS. Data from 477 users of an agile IS showed that users' level of comfort with constant changes, the facilitating conditions provided, and users' habit are predictors of both types of intentions, with users' level of comfort with constant changes being the strongest predictor. Users' intentions to continue using agile IS are also determined by users' satisfaction with and perceived usefulness of the past upgrades. Finally, users who are innovative are more likely to use future releases of new features. The present work fills a gap in the software engineering literature and contributes a technology acceptance model specific to agile IS, which are becoming a mainstay of companies' IT portfolio in a fast-changing business environment.