scholarly journals Management of digital transformation of industrial enterprises based on maturity models

2021 ◽  
Vol 116 ◽  
pp. 00074
Author(s):  
L. A. Malysheva ◽  
O. G. Kharlamova
Keyword(s):  
Life Cycle ◽  
Dynamic Model ◽  
Business Models ◽  
Corporate Strategy ◽  
Digital Transformation ◽  
Transformation Model ◽  
Life Cycle Approach ◽  
Maturity Models ◽  
Industrial Enterprises

This paper considers the issues of the implementation of the digital transformation of industrial enterprises: the analysis of the existing model (AS IS) and planning the desired model (TO BE), depending on different conditions. The authors present the existing business models of digital transformation, reveal different approaches to classification, as well as their drawbacks from the point of view of practical application. In general, the models can be applied to diagnostics, but not to planning the desired state. The principle of classification of transformation models based on the life cycle of the market is proposed: monopoly, oligopoly, competition and monopsony. Firstly, the life-cycle approach allowed applying the author’s Dynamic Model of Changes in Corporate Strategies (Dynamics) to digital transformation. This model was proposed earlier for the classification of traditional business models. Secondly, the life-cycle approach allowed using the maturity models of the industry, strategies, product, processes, data etc. in order to build a planning algorithm for the desired business model. As a result of the lifecycle approach to the classification of business models, it was possible to develop an algorithm for diagnosing and planning the desired digital transformation model, taking into account the limitations of maturity levels and present it in the form of a Digital Dynamic Model of Corporate Strategy Changes (Dynamics).

scholarly journals Assessing Digital Transformation in Universities

2021 ◽  
Vol 13 (2) ◽  
pp. 52
Author(s):  
Guillermo Rodríguez-Abitia ◽  
Graciela Bribiesca-Correa
Keyword(s):  
Business Models ◽  
Digital Transformation ◽  
Transformation Model ◽  
Educational Institutions ◽  
Maturity Level ◽  
Network Applications ◽  
Innovative Products ◽  
Education Market ◽  
Transformation Processes ◽  
Degree Of Innovation

Industry 4.0 and Society 5.0 are reshaping the way organizations function and interact with the communities they serve. The massive penetration of computer and network applications forces organizations to digitalize their processes and provide innovative products, services, and business models. The education market is suffering changes as well, but universities seem slow to react. This paper proposes the application of an integrated digital transformation model to assess the maturity level that educational institutions have in their digital transformation processes and compares them to other industries. Particular considerations to address when using the model for higher-education institutions are discussed. Our results show that universities fall behind other sectors, probably due to a lack of effective leadership and changes in culture. This is complemented negatively by an insufficient degree of innovation and financial support.

scholarly journals ESTIMATION OF BUSINESS VALUE AS AN ELEMENT OF FORMATION OF BUSINESS MODELS OF INDUSTRIAL ENTERPRISES AND AGRICULTURAL COMPLEX IN THE CONDITIONS OF DIGITALIZATION OF THE ECONOMY

2020 ◽  
Author(s):  
Maksym Odnorog ◽  
◽  
Mykhailo Pivtorak ◽  
Oksana Zagorodniuk ◽  
◽  
...  
Keyword(s):  
Best Practices ◽  
Business Models ◽  
Business Processes ◽  
New Technologies ◽  
Digital Technologies ◽  
Economic Security ◽  
Digital Transformation ◽  
Enterprise Management ◽  
Industrial Enterprises ◽  
Digital Management

To date, digital technologies and their widespread practice have formed the potential for completely new business models. However, most organizations are either in the early stages of the digital transformation process, or do not yet dare to form a digital business model that will provide real benefits from digital technologies. In any case, taking into account the enormous pace of global digitalization, it is extremely important to adapt the best practices of digital transformation to the improvement of the Ukrainian economy as soon as possible. Based on this, consider the process of researching new and adapting existing management models. Digital transformation – the introduction of modern technologies to radically change the business models of enterprise management today is considered the most important topic for organizations around the world. The requirements of the new digital economy represent the digital transformation as a conscious strategic process of business modification through adaptive management and implementation of digital technologies, ie the restructuring of existing business models. The same happens at industrial and agro-industrial enterprises, the analog period of which is coming to an end. Industries are entering the digital age, thanks to which enterprises are developing in accordance with the new focus. For this reason, it is very important for the formation of digital models of enterprise management to strategically understand the possibilities of digital technology development in their connection with business processes and business models. The analysis of the main traditional models of effective management of enterprises was carried out and their fundamental differences from the Ukrainian approach to management were revealed, the possibilities of implementation of the principles of existing business models by Ukrainian enterprises were considered. In addition, a roadmap for the transition from a traditional to a digital enterprise was proposed for consideration. The process of modeling the digital management system of the enterprise is revealed. Currently, a prerequisite for the prosperity of the economy of industry and agriculture and, consequently, the economy of Ukraine, is adaptive digital management as a basis for economic security of the enterprise. It was found that the relentless introduction of digital technologies, «copying best practices» can later be in reality as dangerous as the refusal to master new technologies. Therefore, choosing the direction of your own digitization, you must first study everything thoroughly, so as not to miss the moment and not to remain in the ranks of the latter or in the past.

How green are supported ‘green’ business models? Time for the life cycle approach to enter public support programmes

2020 ◽  
Vol 25 (10) ◽  
pp. 2086-2092
Author(s):  
Søren Løkke ◽  
Jannick H. Schmidt ◽  
Ivar Lyhne ◽  
Lone Kørnøv ◽  
Rasmus Revsbeck
Keyword(s):  
Life Cycle ◽  
Business Models ◽  
Public Support ◽  
Life Cycle Approach ◽  
Green Business ◽  
Support Programmes

scholarly journals Classification of parameters of innovative projects in the framework of digital transformation programs for sustainable development of industrial enterprises

2021 ◽  
Vol 258 ◽  
pp. 02021
Author(s):  
Aleksandr Kozlov ◽  
Elizaveta Pavlova ◽  
Pawel Królas
Keyword(s):  
Time Allocation ◽  
Manufacturing Sector ◽  
Basic Structure ◽  
Digital Transformation ◽  
Evaluation Standard ◽  
Innovative Project ◽  
Industrial Enterprises ◽  
Road Map ◽  
Limiting Parameters

The task of determining the parameters of an innovative project, their composition and structure is a crucial stage in the design and development of an innovative project within the framework of digital transformation. A refined classification of the parameters of an innovative project, considering the specifics of projects aimed at digital transformation of the enterprises, operating in the manufacturing sector, is proposed. The classification separates the parameters of innovative projects into 2 key categories: target parameters and controlled or limiting parameters. When applied to innovative project parameters in digital transformation, target parameters are further divided into gradual and optional types; controlled or limiting parameters constitute basic structure of innovative projects and include road-map and time allocation, costs, market parameters, human resources, technological readiness, regulatory norms. The presented approach leaves room for further research based on additional real case data and risk evaluation, standard and accepted deviations of the project results analysis.

scholarly journals Conceptual Scheme of Digital Transformation of Business Model of Industrial Enterprises

2019 ◽  
Vol 8 (3C) ◽  
pp. 107-113
Keyword(s):  
Business Model ◽  
National Economy ◽  
Global Economy ◽  
Business Models ◽  
Digital Transformation ◽  
Conceptual Scheme ◽  
Society Business ◽  
State Institutions ◽  
Government Organizations ◽  
Industrial Enterprises

Article describes features of digital transformations that affect global economy as a whole and national economy of Ukraine, changing business models of industrial enterprises and quality of life societies. Stages of transition Ukrainian society, business and state institutions to digital technologies have been determined. Selected Agenda and Concept of Digital Economy as the main directions in way of digitalization national economy of Ukraine. It is stated that digital transformation influences business models and national economy by initiating synergistic and emergent effects. Stages of integration innovative technologies and their influence on development country are outlined. Central to digital transformation is process of automation in lives of everyone, society, businesses, organizations, government organizations and government agencies. Key elements of conceptual scheme of digital transformation business model of industrial enterprises, which allow focusing on social and industrial block, which gives opportunity to adapt the activity of industrial enterprises as effectively as possible and provides flexibility of response management decisions in transformation environment. Predicted results of digital transformation of the country and industrial enterprises are highlighted.

Evaluating the impact of digital technologies on the performance of an industrial enterprise

2020 ◽  
Vol 8 (8) ◽  
pp. 1545-1565
Author(s):  
M.B. Rybakov ◽  
G.V. Kolesnik
Keyword(s):  
Systems Analysis ◽  
Business Models ◽  
New Technologies ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Digital Culture ◽  
Industrial Enterprises ◽  
Digital Competencies ◽  
The Impact ◽  
Comprehensive Indicator

Subject. Considering the use of traditional business models, the digital transformation becomes a cornerstone for industrial enterprises to remain competitive and survive in the market. Therefore, it is important to identify factors making the integration of digital technologies into operations more effective. Objectives. We analyze how digital technologies influence the performance of industrial enterprises. We also identify what improves corporate operations, and choose digital transformation metrics. Methods. The study relies upon methods of the logic and systems analysis, multivariate optimization. Results. The article sorts contemporary challenges to the corporate competitiveness due to the emergence of digital technologies. We discover factors that spur the performance of industrial enterprises in the digital economy. We suggest using a comprehensive metric to gauge the efficiency of digital technologies integrated into the enterprise's operations. Conclusions and Relevance. Digital technologies are not supposed to penetrate every sector. Furthermore, to effectively integrate them, the company should at least have the digital culture and employees who have basic digital competencies. If enterprises have low capabilities for perceiving new technologies, the priority development may turn to be hard for them in those sectors where digital technologies and knowledge are most important. The single indicator is not enough to gauge whether digital technologies have been effectively implemented. The comprehensive indicator seems more promising, since it accounts for indirect effects, rather than direct effects on the performance.

scholarly journals Selecting the path of the digital transformation of business-models for industrial enterprises

2019 ◽  
Vol 497 ◽  
pp. 012071 ◽  
Author(s):  
Margarita Galimova ◽  
Tatiana Gileva ◽  
Nataliya Mukhanova ◽  
Ludmila Krasnuk
Keyword(s):  
Business Models ◽  
Digital Transformation ◽  
Industrial Enterprises

scholarly journals Nutritional disorders in the proposed 11th revision of the International Classification of Diseases: feedback from a survey of stakeholders

2016 ◽  
Vol 19 (17) ◽  
pp. 3135-3141 ◽  
Author(s):  
Mercedes de Onis ◽  
Julia Zeitlhuber ◽  
Cecilia Martínez-Costa
Keyword(s):  
Life Cycle ◽  
Health Care Professionals ◽  
Full Range ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Life Cycle Approach ◽  
Survey Tool ◽  
Classification Of Diseases ◽  
Icd 10

AbstractObjectiveTo receive stakeholders’ feedback on the new structure of the Nutritional Disorders section of the International Classification of Diseases, 11th Revision (ICD-11).DesignA twenty-five-item survey questionnaire on the ICD-11 Nutritional Disorders section was developed and sent out via email. The international online survey investigated participants’ current use of the ICD and their opinion of the new structure being proposed for ICD-11. The LimeSurvey® software was used to conduct the survey. Summary statistical analyses were performed using the survey tool.SettingWorldwide.SubjectsIndividuals subscribed to the mailing list of the WHO Department of Nutrition for Health and Development.ResultsSeventy-two participants currently using the ICD, mainly nutritionists, public health professionals and medical doctors, completed the questionnaire (response rate 16 %). Most participants (n 69) reported the proposed new structure will be a useful improvement over ICD-10 and 78 % (n 56) considered that all nutritional disorders encountered in their work were represented. Overall, participants expressed satisfaction with the comprehensiveness, clarity and life cycle approach. Areas identified for improvement before ICD-11 is finalized included adding some missing disorders, more clarity on the transition to new terminology, links to other classifications and actions to address the disorders.ConclusionsThe Nutritional Disorders section being proposed for ICD-11 offers significant improvements compared with ICD-10. The new taxonomy and inclusion of currently missing entities is expected to enhance the classification and health-care professionals’ accurate coding of the full range of nutritional disorders throughout the life cycle.

scholarly journals Assessment of the Readiness of Industrial Enterprises for Automation and Digitalization of Business Processes

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2722
Author(s):  
Irina Krakovskaya ◽  
Julia Korokoshko
Keyword(s):  
Information And Communication Technologies ◽  
Business Models ◽  
Business Processes ◽  
Digital Transformation ◽  
Negative Effects ◽  
Industrial Enterprises ◽  
Degree Of Satisfaction ◽  
Industry Automation ◽  
The Republic ◽  
The Impact

The purpose of this article is to identify the promising areas of digitalization in the work of industrial enterprises at the national and regional level. The study was conducted on the basis of industrial enterprises of the Republic of Mordovia using the methods of a systematic approach, comparative and strategic analysis, mathematical statistics, etc. As a result, we assessed the impact of the digital transformation of the economy on the development of industrial enterprises in Russia and the Republic of Mordovia, changes in the efficiency of enterprises associated with the expansion of the use IT, the degree of satisfaction of enterprises with the use of specific tools of information and communication technologies, etc. Spearman’s rank linear correlation demonstrates positive and negative effects of ICT using the industrial enterprises. The novelty and practical value of the obtained results consists in the fact that confirmed research hypotheses reflect both specific regional factors and systemic nationwide problems of digitalization of the Russian industry, automation of business process, allow us to outline the priority areas of digital transformation of business models not only of the studied enterprises industry of the region, but also the non-resource sector of the industry in general.

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