The Potential of Digitalisation and Social Dialogue in Ensuring Post-Pandemic Labour Market Sustainability: Priorities for Ukraine

The article substantiates promising areas of resource mobilisation to counter the negative effects of the COVID-19 pandemic оn the labour market, namely, through the involvement of the potential of digital, information and communication technologies and the introduction of innovative mechanisms into the system of social dialogue in the labour field at the national level. The conceptual basis of the research is the four-pillar policy framework for tackling the socio-economic impact of the COVID-19 crisis, developed by the International Labour Organization as a basic tool to address the risks and threats of the COVID-19 pandemic for global and national labour markets. This framework was used as a cross-cutting analytical scheme to analyse Ukrainian realities and further to structure the potential of digitalisation and social dialogue for overcoming the negative impact of the COVID-19 pandemic on the Ukrainian labour market and for further post-pandemic recovery.Based on the modern platform approach, the authors propose a social innovation – a 3-element model of socially responsible partnership (SRP Platform), which allows significantly updating (or even rebooting) the system of communication and interaction between the social dialogue participants in Ukraine using the potential of modern network, information and communication technologies. Implementating such a model will contribute to the renewal of the social dialogue system in Ukraine and, thus, further effective counteraction against the impact of the COVID-19 pandemic, ensuring the sustainable functioning of the Ukrainian labour market, and to the formation of an effective anti-pandemic state policy. Both the conceptual basis and general mechanism for implementing the SRP platform are (to a large extent) universal and can be adapted to renew social dialogue systems not only in Ukraine but also in other post-Soviet countries with a tripartite system

Characteristics of redistributed manufacturing systems: a comparative study of emerging industry supply networks

This paper explores the characteristics of redistributed manufacturing systems within the context of emerging industry supply networks (EI SNs), with a particular focus on their structure, operations and reconfiguration dynamics. A number of factors have resulted in the redistribution of manufacturing. Within Emerging Industries, advances in process and information technologies, have changed the physical and information characteristics of components and products, and the viable production economies of scale. Further, the emergence of new specialised companies fulfilling key research, production or service roles have changed industry structure and operations, and the conventional model of value creation. Six industrial systems are examined using an Industrial System mapping methodology providing a basis for cross-case analysis, selected on the basis of representing alternative and novel evolution paths that may provide insights into the characteristics of EI SNs within a redistributed manufacturing context. Cross-case analysis suggests several generic aspects to EI SNs, including the blurring of traditional industry boundaries and the critical requirement to manage uncertainty. Alternative forms of EI SNs are observed supporting particular EI evolution paths. Further, more adaptive SNs support increased product variety, with lower inventory models enabled by enhanced production and distribution flexibility, often located closer to demand.The authors would like to acknowledge UK Research Council EPSRC, the industrial collaborators who provided access to their organisations, and their supply network, industrial and institutional partners.This is the author accepted manuscript. The final version is available from Taylor & Francis via http://dx.doi.org/10.1080/00207543.2016.121476

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Agents for educational games and simulations

This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications

The experience of delivering case award research in a public sector setting

The CASE Award PhD is a relatively new approach to completing academic research degrees, aligning the ideals of comprehensive research training and cross-collaboration between academics and organisations. As the initial wave of CASE funded PhD research begins to near completion, and indeed become evident through the publication of results, now is an appropriate time to begin the evaluation process of how to successfully deliver a CASE PhD, and to analyse the best practice approaches of completing a CASE Award with an organisation. This article intends to offer a picture into the CASE PhD process, with a focus on methods of communication to successfully implement this kind of research in collaboration with an organisation