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BRM: A methodology for improving the practical relevance of belief-based information technology usage theories
Information & Management ( IF 9.9 ) Pub Date : 2021-05-20 , DOI: 10.1016/j.im.2021.103488
Sameh Al-Natour , Camille Grange , Ron Cenfetelli , Izak Benbasat

There has been extensive research in Information Systems (IS) regarding the individual-level beliefs that are germane to technology usage. Theories like the technology acceptance model, user satisfaction, service quality, the diffusion of innovations theory, and others identify a wide variety of influential beliefs, such as those that target properties of the system itself (e.g., its features), the use of it (e.g., its ease of use), or other contextual aspects (e.g., the pressure from peers to use it). These theories have been invaluable for understanding one of the most fundamental phenomena of interest to IS researchers and practitioners: individuals’ adoption and use of information technology (IT). However, as valuable as these theories are, there has been growing criticism about the fact that several of their constituting belief constructs (e.g., usefulness or quality) do not lend themselves to prescriptions for actionable interventions, in particular those geared toward IT design. This is especially problematic when it comes to applying or extending them to the contexts of emerging technologies, where best design practices are still to be discovered and tested. We address this concern by developing a Broadness Reduction Methodology (BRM) that relies on Fishbein and Ajzen's (1975) foundational work on the nature and formation of beliefs to help researchers develop belief-based theoretical models that are more relevant to IT practitioners. In order to illustrate the application of our methodology and demonstrate its validity, we apply it to the context of e-business. In doing so, we decompose the broad construct of supporting-service functionality, which has been shown to be a strong predictor of satisfaction and continued usage, into more specific constructs that are more amenable to actionable design recommendations.



中文翻译:

BRM:一种提高基于信念的信息技术使用理论的实际相关性的方法

在信息系统 (IS) 中,已经对与技术使用密切相关的个人层面的信念进行了广泛的研究。技术接受模型、用户满意度、服务质量、创新扩散理论等理论确定了各种有影响力的信念,例如那些针对系统本身的属性(例如,其特征)、系统的使用(例如,它的易用性),或其他上下文方面(例如,来自同龄人使用它的压力)。这些理论对于理解信息系统研究人员和从业者感兴趣的最基本现象之一是非常宝贵的:个人对信息技术 (IT) 的采用和使用。然而,尽管这些理论很有价值,但人们越来越多地批评它们的几个构成信念结构(例如。例如,有用性或质量)并不适用于可操作干预措施的处方,尤其是那些面向 IT 设计的干预措施。在将它们应用或扩展到新兴技术的环境中时,这尤其成问题,在这些技术中,最佳设计实践仍有待发现和测试。我们通过开发一种广度缩减方法 (BRM) 来解决这个问题,该方法依赖于 Fishbein 和 Ajzen (1975) 关于信念的性质和形成的基础工作,以帮助研究人员开发与 IT 从业者更相关的基于信念的理论模型。为了说明我们方法论的应用并证明其有效性,我们将其应用到电子商务环境中。在这样做时,我们分解了支持服务功能的广泛构造,

更新日期:2021-06-02
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