Examining enterprise architecture for digital transformation

The Digital Transformation era has unlocked unique opportunities for organizations to disrupt and innovate with digital products and services by leveraging novel emerging technologies such as mobile computing, big data analytics, cloud computing, and the internet of things. Consequently, the emergence of this new digital generation has increased the awareness of disruptive innovations, posing multiple challenges to organizations that had adopted traditional Enterprise Architecture approaches, such as materializing digital business strategies with regard to federated applications. These business strategies must address the dynamic changes of the involved services and their data interfaces; and, therefore, require higher interoperability for seamless integration. This paper introduces preliminary results from conducting a systematic literature review focused on identifying the constituents of Digital Transformations reflected as new opportunities to improve conventional Enterprise Architecture practices. The findings are classified into four categories: (1) Customer Journey, Customer Experience and Value Creations Streams; (2) Architecture Agility &amp; Evolution; (3) Architecture Modularity (Interoperability); and (4) Social and Cultural Alignment of the Enterprise.</p

What about Data-Driven Business Models? Mapping the Literature and Scoping Future Avenues

The paper aims to perform an assessment of the literature at the intersection of data and business models, examining the extent to which the data-driven business model (DDBM) is considered in the current literature and how it is characterised in terms of approaches, benefits and barriers. A systematic literature review (SRL) of the available body of knowledge on these topics was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. The SRL reveals limited but rapidly growing coverage of the cutting-edge phenomenon on the part of scientific studies. In problematising the extant literature, competitive, cultural and strategic approaches are proposed together with the relative enablers fostering the adoption of each approach. Benefits and barriers to the implementation of a DDBM are also discussed across technical, organisational and financial dimensions. The insights derived from a critical review of the DDBM literature point out gaps, which may itself inform future research and theory development in this area, as well as support practitioners&rsquo; decision-making on the datatisation of business models