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Examining end users' ability to select business services: A conceptual framework and an empirical study

机译:审查最终用户选择业务服务的能力:概念框架和实证研究

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摘要

Software made from autonomous business services is gaining popularity. Now end users can build large applications by assembling a suite of services. Because some end users might have limited knowledge of their requirements and the functionality of available services, the key challenge is to find the services needed to build an application. The task of finding the services matching requirements requires specialized knowledge-knowledge of requirements and the functionality of available services-not just mere general competence. Moreover, the complexity of the requirements could also hinder the ability of end users to select services. However, there is little research into how the end users' sophistication and requirement complexity affect their ability to avoid duplication (i.e., select the most cost-effective set of services) and select a set of services that satisfy their requirements. We provide a conceptual framework for the choice problem faced by the decision maker and develop a set of hypotheses on end user's sophistication and requirement complexity, and the impact of these factors on outcome performance-the ability to avoid duplication and select the appropriate services. Then we conduct an empirical study to test the hypotheses. Empirical results offer support for all hypotheses. Our work has several implications. We demonstrate both conceptually and empirically that end users' naivety has a significant impact on service duplication. For a profit-maximizing service vendor, knowledge of the end user's sophisticationaivety allows there to be different pricing strategies: (1) a pure component strategy, (2) a pure bundling strategy, or (3) a mixed bundling strategy.
机译:自主商业服务制成的软件正在获得受欢迎程度。现在,最终用户可以通过组装一套服务来构建大型应用程序。由于某些最终用户可能会对其要求和可用服务的功能有限,因此关键挑战是找到构建应用程序所需的服务。找到服务匹配要求的任务需要专门的知识 - 知识 - 可用服务的功能和功能 - 不仅仅是一般的能力。此外,要求的复杂性也可能妨碍最终用户选择服务的能力。但是,几乎没有研究最终用户的复杂性和需求复杂性如何影响其避免重复的能力(即,选择最具成本效益的服务),并选择一组满足其要求的服务。我们为决策者面临的选择问题提供了一个概念框架,并开发了一组关于最终用户的复杂性和需求复杂性的假设,以及这些因素对结果表现的影响 - 避免重复并选择适当的服务。然后我们进行一个实证研究来测试假设。实证结果为所有假设提供支持。我们的工作有几种影响。我们在概念上和经验上展示最终用户的天真对服务重复产生重大影响。对于利润最大化的服务供应商,对最终用户的复杂性/天真的了解允许有不同的定价策略:(1)纯分量策略,(2)纯捆绑战略,或(3)混合捆绑策略。

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