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The purpose of the research is to develop the algorithm of transition of modern socio-economic systems to “conflict-free” path of development, which would be universal and would take into account specifics of each separate system.

The methodology of the chapter includes a complex of general scientific methods – analysis, synthesis, induction, deduction, and formalization; and the method of structural programming, which is used for determining a preferable structure and sequence of stages of the process of transition of modern socio-economic systems to “conflict-free” path of development, with compilation of its block scheme.

The algorithm (in the form of block scheme) of transition of modern socio-economic systems to “conflict-free” path of development is offered. The first stage of this algorithm is adaptation of the principles of “conflict-free” development of socio-economic system to peculiarities of its development and adoption of these principles. At the second stage, monitoring and control over quality of institute of economic activities in socio-economic system are conducted (determination of problems). The third stage is improvement of institutes of economic activities in socio-economic system (solving the determined problems). The fourth stage is search and establishment of balance in socio-economic system. The fifth stage is determining the signs of “conflict-free” character and forecasting of scenarios of development of socio-economic system and evaluation of effectiveness of development of “conflict-free” socio-economic system.

The developed algorithm allows overcoming drawbacks of the existing algorithm of crisis management of economic systems and has such advantages as the possibility of application by systems of any level, application at all phases of economic cycle, consideration of specifics of socio-economic systems, and cyclic character.

The purpose of the research is to develop methodological approach to evaluation of effectiveness of development of “conflict-free” socio-economic system.

The fundamental platform of the research is the classic approach to evaluation of effectiveness of managerial practice in socio-economic system.

A methodological approach to evaluation of effectiveness of development of “conflict-free” socio-economic system is developed; it envisages calculating the ratio of aggregate results (including advantages) from “conflict-free” development of systems to aggregate expenditures for management of conflicts. Successful approbation of this approach by the example of modern “conflict-free” socio-economic systems – Turkey and Japan – showed its readiness for practical application. The obtained results show that in Turkey in 2018 the effectiveness of development of “conflict-free” socio-economic system is acceptable (normal), as the value of the calculated Erbs index is in the interval (1,5;2), that is the results of managing the conflicts exceed the expenditures. In Japan in 2018, effectiveness of development of “conflict-free” socio-economic system is very high, as the value of the calculated Erbs index is in the interval (2;3) – that is, expenditures for management of conflicts are minimum, and results are very high.

Advantages of the developed methodological approach to evaluation of effectiveness of development of “conflict-free” socio-economic system, which emphasize perspectives of its practical application, are the detailed structure, variability, and universal character.

Purpose: The purpose of this paper is to scientifically test the credibility (proof or refutation) of the existing argument for a technological leap in the COVID-19 pandemic and the post-pandemic period.

Design/Methodology/Approach: The conducted review of existing sources of research literature showed that they have formed an insufficient scientific background for a clear understanding of digital deprivation of services, social contradictions and conflict management as components of technological leap amid the COVID-19 pandemic and in the post-pandemic period. To fill the identified gap in the system of scientific knowledge, this work uses the method of comparative analysis of statistical data. Some countries of the world, the EU countries and the United States, which are characterized by the largest population and the largest contribution of investments to the digitalization of value chains and the development of innovations, were selected as objects for this study.

Findings: Research has shown that rapid digitalization is impacting all aspects of life, including not only how value is created and exchanged, but also how we interact, operate, purchase and receive services. In this process, data and its international flows are becoming increasingly important for development. The usual digital gap associated with connectivity, reflecting significant differences between and within countries in readiness to use the power of data, is exacerbated by what might be termed the data gap. Countries with limited opportunities to transform digital data into digital analytics and entrepreneurial opportunities, and to use them for economic and social development, are obviously at a disadvantage.

Originality/Value: Digital data have been proven to be one of the top strategic assets for creating both private and public value. Our ability to meet the Sustainable Development Goals (The 2030 Agenda for Sustainable Development, 2015) depends a lot on how these data are applied. The idea of sustainable development arose, as it is known, for overcoming significant fluctuations in the positive transformation of society, and for the alignment in the pace and results of the transition of various countries to the post-industrial scenario of progress. There are many obstacles on the path of sustainable development, which hinder the transition to this vector of transformation. First, the gap in economic and social development between the countries of the ‘golden billion’ and many other countries has not been reduced. Second, the digital gap continues to deepen. But a new and extremely threatening danger on the path to the transition to sustainable development has become the global crisis caused by the COVID-19 pandemic that emerged in early 2020 and is still ongoing.

Determining the right course for the future is a difficult task, but its solution cannot be postponed. Data are multidimensional, and their use has an impact not only on trade and economic development but also on human rights, peace and security. In addition, measures should be taken to reduce the risk of misuse and unauthorized use of digital data by states, non-states or the private sectors to avoid the possibility of global social conflict.

The purpose of the work is to determine conflicts that may appear in clusters.

The methodology of the research is based on combination of systemic, institutional, and evolutional approaches, including private general scientific methods of subject-object, factor, comparative, functional and structural and descriptive analysis, classification, and modeling.

Comparison of programs of development of territorial innovational clusters is conducted, as well as comparative analysis of methodological approaches to analysis of the institutional basis of regional clusters; a ranking of target directions of regional programs of development of innovational territorial clusters is compiled. The authors’ classification of conflicts of regional clusters is offered.

The performed analysis helped to determine presence of various defects, dysfunctions, and negative effects with clusters that emphasize their high susceptibility to conflicts that have to be taken into account during formation of regional cluster policy, aimed at their conflict-free functioning.

Public services can be modelled, analysed and implemented using notations and tools for the business process (BP) abstraction. Applying such an explicit approach public administrations (PAs) can better react to the undergoing transformation in service provisioning and they can continuously improve service quality in order to satisfy citizens and business requests, while coping with decreasing budgets. The purpose of this paper is to discuss these issues.

The proposed approach relies on using formal methods, in particular unfolding to analyse the correctness of BP. The paper also compares and selects mapping rules from semi-formal to formal modelling languages; these techniques are presented in the context of the BP Modelling Languages and Petri Net (PN).

Main aim of this paper is to raise the need for formal verification of BP governing the interactions among PAs, which more and more need to be supported by ICT mechanisms, and then are not so much tolerant to errors and imperfections in the process specification. The paper illustrates the main motivations of such a work and it introduces a verification technique of a BP using a mapping of a high-level notation (such as BPMN 2.0) to a formal notation (such as PNs) for which formal analysis techniques can be adopted. In particular the verification step is implemented using an unfolding-based technique.

The paper answers a call for further development of the body of knowledge on effective analysis of BPs, a rapidly emerging field of interest for large and ultra large scenarios, where a clear gap in literature exists. Than the paper shows that formal techniques are mature enough to be applied on real scenarios.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.

The fundamental idea that we seek to establish in this chapter is that the establishment of regional or local, peace calls forth global peace. In other words, our argument is that local and regional conflicts are partly driven by global factors, especially what is commonly known as international tension. In order to achieve meaningful and sustained peace, there is a reason to believe that it is mandatory to manage and contain international tensions. The main thesis of this chapter is to explain or posit, conflicts as a product of continuing international chasms, splits and differences of political and social ideologies in our modern world. Thus, we argue that conflicts are, to some extent, driven by international tension or global, ideological and geo-political factors. Notwithstanding the global influence, local factors – such as income inequality, income growth or lack of it, political institutions – can and do exacerbate conflicts and a peaceful resolution of conflicts becomes a difficult phenomenon.