Value proposition discovery in big data enabled business model innovation

De-ning Teng, Peng-yu Lu
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引用次数: 2

Abstract

Business innovation is unavoidable in the intensely competitive marketplace. Under resources constrained condition, the option of innovation perspectives is particularly significant. Business model is the foundation of business goal and business innovation which directly facilitates the innovation of products and business processes. Meanwhile, value proposition is the most significant element in business model innovation. Under such background, an innovative approach to achieve reasonable value proposition from knowledge discovery of enterprise information system is proposed in this paper. The paper also defines major business data sources for information system and presents appropriate big data processing approaches of knowledge discovery. To effectively reveal business value of knowledge discovery, popular data interpretation techniques are presented. Furthermore, in order to facilitate firm leader to prompt value proposition on a better degree, the paper proposes a value proposition generation model based on customers, competitors and profit which called CCP to associate business value discovered from information system with value proposition creation. The pattern of value proposition generation this paper proposed will strengthen competitiveness, and provide a better approach to achieve business goal of enterprises.
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在大数据中发现价值主张,实现商业模式创新
在激烈的市场竞争中,企业创新是不可避免的。在资源约束条件下,创新视角的选择尤为重要。商业模式是企业目标和业务创新的基础,它直接促进了产品和业务流程的创新。同时,价值主张是商业模式创新中最重要的因素。在此背景下,本文提出了一种从企业信息系统的知识发现中实现合理价值主张的创新方法。定义了信息系统的主要业务数据源,提出了相应的知识发现大数据处理方法。为了有效地揭示知识发现的商业价值,介绍了常用的数据解释技术。此外,为了帮助企业领导者更好地提出价值主张,本文提出了一个基于客户、竞争对手和利润的价值主张生成模型,即CCP,将信息系统中发现的商业价值与价值主张的创造联系起来。本文提出的价值主张生成模式将增强企业的竞争力,为企业实现经营目标提供更好的途径。
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