The authors argue that the rise of cloud computing will "ultimately serve to transform – in a big way – the information technology industry, as the shift from procuring IT “stuff” to buying IT services will be transformational across the landscape."
This presentation discusses cloud computing and related paradigms – definition and history of cloud computing, trends in cloud computing, benefits and challenges of cloud computing,
This presentation discusses data analytics in the context of internal audit – what is data analytics? how to create sustainable data analytics? what are some advanced data analytics techniques such as visualization? what are the principles of data analytics?
This research study on IT governance in higher education addresses a host of issues starting with a definition of IT governance.
This presentation guides you through a security audit from a different perspective – that of a hacker who focuses on "value" among other things.
This article discusses the imperative to change the prevalent enterprise architecture paradigm to a “dynamic enterprise architecture” – the authors argue that business value is contingent upon creating an enterprise architecture that in line with the rapidly evolving market conditions.
Tackle the pressing challenges of today’s IT landscape—from aligning technology with business goals to enhancing cybersecurity—using actionable insights from this comprehensive primer on SAP Enterprise Architecture Framework.
This paper presents a model of interrelationships between inhibitors and enablers of Strategic Information Systems Planning (SISP) and reports on a pilot case study that investigated enablers and inhibitors of SISP in a large Korean corporation. The study demonstrated close relationships between enablers and inhibitors and benefits of SISP.
This paper proposes a theoretical model for Enterprise Architecture (EA) benefit realization based upon the DeLone and McLean IS Success model.
The authors argue that unlocking business value from IT investments is a journey that must both be planned and managed. Further, organizations must adopt a two-stage approach to large-scale IT programs that distinguishes between "problem-based" and "innovation-based" implementations.