Abstract
Information technologies (IT) architecture and infrastructure is a significant cost item, especially for enterprises with complex production infrastructure and equipment that require automated and digital devices to collect and process primary data on technological and production processes. Most investment models for enterprise-wide development projects usually do not take into account the automation’s costs, including the design and implementation of information systems. The Enterprise Architecture (EA) paradigm has been proposed to bridge the gap between the business and the IT sector. The study aims to develop investment models for projects for the implementation and development of EA solutions, including IT architectures that eliminate the shortcomings of existing approaches. The research methodology is based on the analysis of published approaches to investment models for projects creating and developing EA, IT architectures with the identification of their advantages and limitations, and on the analysis of IT investment assessment practices in Russian infrastructure-intensive companies. As a result, investment and appraisal models are proposed that have advantages associated with the ability to calculate the effect of an integrated approach to the implementation of IT solutions, a more accurate calculation of an investment project cost by taking into account the IT system’s cost, a reduction in the investment cycle of development and implementation of architectural solutions, including physical and IT component.
Highlights
It is hard to imagine a modern organization doing without information technologies (IT) and digital technologies
The approach proposed for forecasting the effect on projects adopting IT architecture and its components relies on integrated business automation, especially in the initial phase of enterprise creation
The benefits are achieved through the integration of the created architectural model, where all the components are designed as parts of a single system compatible with each other in advance
Summary
It is hard to imagine a modern organization doing without information technologies (IT) and digital technologies. The conditions for running a business are exceptionally dynamic with the rapid advancement of technologies, digital environments, and related marketing and logistics technologies causing significant concurrent changes in the patterns of supply and demand, pricing, and market trends [1] These dynamically evolving conditions in external environments require greater business agility. One of the important features of the digital transformation (in particular in manufacturing—with the Industry 4.0 concepts) is the integration of information technologies (IT) and operations technologies [2]. This is a topical issue for organizations with automated equipment for collecting and processing data. Utility providers, transportation and urban infrastructure organizations, the defense
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