Proceedings of 10th International Conference on Application of Information and Communication Technologies (AICT2016)
Abstract — This paper presents preliminary result of research project, which is aimed to combine ontology information retrieval technology and process mining tools. The ontologies describing both data domains and data sources are used to search news in the Internet and to extract facts. Process Mining tools allows finding regularities, relations between single events or event types to construct formal models of processes which can be used for the next ensuing analysis by experts. An applicability of the approach is studied with example of the environmental technogenic disasters caused with oil spills, and followed events. Ontologies allow adjustment to new domains.
The paper investigates the process of evolutionary transformation of cooperation and integration modes of industrial and construction enterprises in St.-Petersburg. The study has been performed at the period since 1998 to nowadays. The network form of integration was chosen as the main objet of this research. The paper is aimed at identifying the path of knowledge management development in different types of networks.
One of the peculiarities of the network form of integration is the high level of independence of the network participants that interact with each other. Key issues in this cooperation would be the following:
How to organize an effective transfer of knowledge and technologies within a network?
How to find a balance between open systems of innovation and the protection of the intellectual property of network participants?
How to evaluate the intellectual capital of a network? Is it necessary to make an assessment for each participant separately? Should one take into account synergies that increase the value of the intellectual capital because of the network participants’ interaction and knowledge sharing?
How to increase competitiveness of each company and of the whole network by the effective use of the intellectual capital?
How to measure the impact of open innovations on the intellectual capital of the companies interacting within a network?
Thus, it is important to reveal how knowledge management system is developing within a network of inter-related enterprises.
On the base of interviews of top-managers of companies in industrial and construction companies there were identified five different types of networks and knowledge management systems within these types. It is demonstrated how the knowledge management model is growing and becoming mature from the amorphous type of network cooperation to the integrated type. Factors, influencing this evolutionary development, have been revealed. Also, the paper proposes an approach to the evaluation of knowledge management systems based upon the value-based management indicators.
This chapter addresses major dimensions of Internet-related inequalities in contemporary Russia including relevant regional, urban/rural, income, gender, occupation and age-related predictive variables commonly used in order to operationalize differences in socioeconomic positions of individuals and families and, correspondingly, in their access to the Internet. The analysis is based on multiple data sources – from 2007-2010 Russian Federal State Statistics Service Household Budget Survey data to Public Opinion Research Foundation (FOM) Internet Use Survey (2002-2011) and other opinion and market research agencies’ data on Internet coverage among different population groups. In addition to examining causes of a gap in access to Internet using computers and mobile phones, current policies aimed at closing the digital divide as well as prospects and possibilities of convergence between different groups of population in patterns of information technologies usage will be briefly analyzed.
The concepts of social networks, social capital and trust play an increasingly central role in the social sciences. They have become indispensable conceptual tools for the analysis of post-industrial/late-modern societies, which are characterized by such features as the relative decline of formal hierarchies, the development of flexible social arrangements in the sphere of production and the extreme mobility of capital. This is the first book to study the interrelationships between these important concepts both theoretically and empirically. Drawing on empirical investigations from a range of diverse European social contexts, the contributors develop an economic sociology that builds on and extends established theoretical perspectives. The book opens with an introduction to the theoretical ideas: relating social capital to reciprocity, trust and social networks in line with current debates. The authors go on to discuss the concept of social embededdness, addressing the economic effects of social capital by examining the network and trust foundations of labour markets and investigating the structural limits of trusting networks. They conclude with an exploration of the impact of networking and the functioning of trust and social capital on the economic arrangements and performance of nascent capitalist economies in post-Communist Europe. This thematically unified collection by a team of distinguished contributors from across Europe provides an innovative and distinctive contribution to an expanding area of research.
In the last decade, the Internet of Things (IoT) has affected the approach of organizations to innovation and how they create and capture value in everyday business activities. This is compounded in the so-called Smart Cities, where the objective of the IoT is to exploit information and communication technologies (ICTs) to support added-value services for citizens, giving companies more opportunities to innovate through the use of the latest technologies. In this context, multinational enterprises (MNEs) are building alliances, starting several projects with public and private city stakeholders aimed at exploring new technologies for cities but also at exploiting new IoT-based devices and services in order to profit from them. This implies that companies need to manage and integrate different types of knowledge to efficiently and effectively support the simultaneous pressure of exploration and exploitation, at a project portfolio level. Using structural equations modeling with data collected from 43 IoT smart city project alliances in Italy, this paper tests and finds evidence that MNEs need to develop knowledge management (KM) capabilities combined with ICT capabilities if they want to obtain greater ambidexterity performance at the project portfolio level. More specifically, we highlight that KM capabilities enhance alliance ambidexterity indirectly through firms' ICT capabilities, suggesting that MNE managers should design KM tools and develop new ICT skills. Implications for academics, managers and future lines of research are proposed.
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.