皇帝的新衣:修正数字商业生态系统设计

C. Cheah
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引用次数: 2

摘要

虽然数字商业生态系统正在成为下一代系统开发和业务服务模型的典范,但其设计目标并没有改变。目标仍然是实现互操作性——将ICT集成、业务流程和人际互动融合到一个优化模型中,不仅可以实现企业业务服务的数字化,还可以实现竞争优势的最大化。商业研究人员,如Hill、Prahalad、Hamel、Miller、Eisenstat和Foote,正在认识到使用企业架构方法将人员、流程和ICT资源及其能力整合在一起的重要性,从而为战略优势创造核心竞争力。根据这种认识,在DBE开发中合并EA治理是有价值的。DBE开发的另一个附加价值是在定义DBE知识结构时使用新兴的本体方法。本体是基于形式化方法和产品框架协议的领域知识的研究和概念化。在DBE开发中,本体方法可用于在DBE项目管理和SDLC工作流中促进社会和技术语义知识共享,并通过在DBE数据建模中使用开放标准来促进DBE产品设计。满足这两个角色需求的一个这样的本体方法是MSPM本体方法,这是科廷大学即将完成的研究产品。MSPM本体方法可以在未来的DBE研究和开发中得到扩展和利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Emperor's New Clothes: Redressing Digital Business Ecosystem Design
While digital business ecosystem is emerging as a paradigm in next generation of system development and business servicing models, the design goal has not changed. The aim is still about achieving interoperability - the convergence of ICT integration, business processes and human interaction into an optimised model for not just digitalising enterprises' business servicing but maximising competitive advantage. Business researchers, such as Hill, Prahalad, Hamel, Miller, Eisenstat and Foote, are recognising the importance of using enterprise architecture methodologies in bringing together people, process and ICT resources and their capabilities to create core competencies for strategic advantage. In light of this recognition, there is value in incorporating EA governance in DBE development. Another value add to DBE development is using emerging ontology methodologies in defining DBE knowledge structures. Ontology is the study and conceptualisation of domain knowledge based on agreements of formal methods and product frameworks. In DBE development, ontology methodologies can be used to foster social and technology semantic knowledge sharing in DBE project management and SDLC workflows, and DBE product designs through using open standards in DBE data modelling. One such ontology methodology that fulfils these two role requirements is the MSPM ontology methodology, a Curtin University research product nearing completion. The MSPM ontology methodology can be potentially extended and exploited for future DBE research and development.
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