Facilitating Digital Transformation: Success Factors and Multi-Aspect Ontologies

Q2 Business, Management and Accounting
K. Sandkuhl, N. Shilov, A. Smirnov
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引用次数: 2

Abstract

Today, companies feel a need to invest in digital transformation due to changing customer demands and increasing market pressure, but at the same time also experience many challenges in planning and implementing digital transformation processes. The aim of the paper is to support digital transformation in the following two areas: 1) identification of dimensions and factors on digital transformation projects to be observed in enterprises; 2) multi-aspect digital transformation ontology formalising the elements and inter-relationships of these factors. As most of the factors are of qualitative nature and difficult to measure, the multi-aspect ontology serves as means for operationalising them. To this end, an illustrative example and application steps are presented.
促进数字化转型:成功因素和多方面本体论
如今,由于不断变化的客户需求和不断增加的市场压力,企业感到有必要投资于数字化转型,但与此同时,在规划和实施数字化转型过程中也遇到了许多挑战。本文的目的是在以下两个方面为数字化转型提供支持:1)识别企业数字化转型项目的维度和因素;2)多维数字化转型本体形式化了这些因素的构成要素和相互关系。由于大多数因素都是定性的,难以测量,多向本体可以作为对它们进行操作的手段。为此,给出了一个示例和应用步骤。
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来源期刊
International Journal of Integrated Supply Management
International Journal of Integrated Supply Management Business, Management and Accounting-Strategy and Management
CiteScore
6.00
自引率
0.00%
发文量
24
期刊介绍: IJISM''s thematic focus is on research that investigates and improves integration along supply chains. IJISM seeks high-impact scholarly analytical and empirical research in integrated supply management from academics and professionals. It is discipline-agnostic. Supply chain integration can be a complex and challenging imperative involving industry 4.0 ecosystems, alignment of supply markets and consumers, associated organisational changes, and the creation and management of integrative relationships in the supply chain. Substantive research that addresses such issues is solicited. Topics covered include: -Industry 4.0 and smart manufacturing/service eco-systems including blockchains, robotics, wearables, sensors, AI, data mining, additive technologies, etc. in integrated supply chains -Global integrated supply chain design -Purchasing and supplier coordination and relationships -New modelling, optimisation and empirical methodologies in integrated supply chain design and management -Risk management and resilience -Sustainable operations and sharing and circular economies -Lean supply managenent -Quality management in supply chains -Transportation and logistics -Customer relationship, service response, demand management in supply chains -E-commerce supply management -Performance measurement in supply chains
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