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  • DIGITAL TRANSFORMATION OF ENTERPRISES: A TRANSITION USING PROCESS MODELLING ANTECEDENTS
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September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
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How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.

 

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DIGITAL TRANSFORMATION OF ENTERPRISES: A TRANSITION USING PROCESS MODELLING ANTECEDENTS

Ch. 51. P. 325–331.
Ochara N. M., Nawa E. T., Fiodorov I., Lebedev S., Sotnikov A., Kadyamatimba A., Telnov Y.

Process modeling as one of the critical Business Process Management (BPM) disciplines is recognized as a key  anchor to digital transformation (DT) efforts currently underway in most enterprises. While enterprises are  ransforming digitally, the practice of process modeling is also changing with little guidance on key considerations for realizing success process modeling. The focus of the paper was to determine key antecedents for realizing effective processing modeling during DT projects. A case study of a bank transforming its Customer Relationship Management (CRM) was used as a basis to 'tease out' key factors critical for successful DT. A number of inferences emanate from the findings of this paper. The first is linked to the increasingly knowledge-based orientation and digitalization of our society that requires a re-think of how current organizations are structured and modelled. The notion of 'Digitalization of Project Management' also emerged to undergird current transformations in project management, which affects how process modelling is currently practiced. Secondly, the implications of such digital transitions in process modeling is that the process of organizational modeling and structuring is encouraging more 'Knowledge-Enabled Participation', with its emphasis on expertise, team structure and competence of project participants. The last inference conflates the factors of 'DT Evaluation' and 'DT Modeling' that emerged from this study to make the following claim: that the process of organizational transformation will increasingly be 'machine-based', with process modeling and evaluation becoming predominantly digitalized. Therefore, process modeling and its foundational disciplines (such as project management and business process management) will transform, with an orientation elevating older terminologies such as automation and data-intensive processing; with organizational  strategy intricately linked to process modeling as its anchor.

Language: English
DOI
Text on another site
Keywords: управление бизнес-процессамимоделирование процессовцифровая трансформацияprocess modelling четвертая промышленная революцияFourth Industrial Revolutionbusiness process managementdigital transformation

In book

2018 OPEN INNOVATIONS CONFERENCE
Johannesburg: IEEE, 2018.
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