Digital transformation strategies for existed firms: from the perspectives of data ownership and key value propositions

Abstract

The diffusion and embeddedness of cyber technology and big data technology is recognized as an opportunity and infrastructure for firms to innovate and transform. But which digital strategies existed firms in manufacturing and other traditional industries can make is still a question under research. The paper pursues to answer this question from the perspectives of data ownership and key value propositions. From the dimension of data ownership and key value propositions, this research proposes a research framework to guide the analyses of digital transformation strategy. The four firms are used to identify five types of digital strategies, namely new product strategy, new value-added service strategy, customized strategy, product embedded in the platform, and platform service / product strategy based on the framework of digital transformation strategy decision. This research suggests that a firm can select the suitable strategy considering his key value proposition and ownership of data which the firm could use. The research contributes to the research and practices on the digitalization strategy and the digital transformation of firms, especially those in emerging economies.

Industry 4.0 and business models: a bibliometric literature review

“…Just to give an example, Warner and Wager (2019) propose a process model made up of external triggers, core enablers and core barriers that all influence the building of dynamic capabilities for digital transformation. Industry 4.0 and business models: a review 4.2 Cluster 2: digital strategy and business models The second cluster, which contains only a limited number of articles, deals with the issue of connecting the general topic of strategy with BMs, adopting different perspectives: digital transformation strategy (Jin et al, 2020), management strategy (Kaltenecker et al, 2015), integration strategy (M€ uller, 2019) and business strategy (Sell et al, 2019). The perception is that scholars are questioning about the interdependence between BMs and strategy in the context of digitalization in quite a fragmented manner.…”

“…Strategic analysis should be tied up with BM and BMI and vice versa; in some ways, BM delimitates the actions of strategy constraining some actions and facilitates others and at the same time, strategy guides the business model design. Most of the articles in this cluster deal around cloud sourcing technology: Jin et al (2020), based on the two dimensions "data ownership" and "key value proposition," propose a research framework to guide the analysis of digital transformation strategy, whereas Kaltenecker et al (2015) investigate the successful strategies software companies can adopt to manage the change from On-premises to On-demand delivery.…”

Investment Risk Management under Conditions of Digitalization

“…Investment projects are implemented under the impact of risk and uncertainty factors typical of Industry 4.0, and it is not easy to predict their deliverables [1,2,3]. Digitalization leads to existing business models changed and production processes upgraded, thus modifying the system of risks arising from the inability to assess the prospects of the market situation [4][5][6][7].…”

A Survey on Services Provision and Distribution of Official and Commercial Intellectual Property Platforms

“…With the deepening of technology demand, edge computing also plays a huge role. Edge computing is an open framework, in which data source close to the edge of the network and integrates core functions, such as grid, storage, computing, application, and provides the nearest edge intelligent service according to the main needs of the current digital industry in data optimization, fast connection, privacy security protection, and so forth [1,2]. However, it cannot be ignored that there are still considerable opportunities and challenges in wireless communication security of edge-cloud computing [3].…”