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This article reveals the research issues related to the implementation of technology-driven change, distinguishes differences in techno-change, information technology projects and organisational change programmes, and names the stages in the implementation of technology-induced change, and comparative technological models of research of acceptance of change. The scientific literature points out that techno-changes differ from the usual information technology and organisational change programmes, because not only do they focus on the improvement of technological activities, but they also have a huge impact on users (people, processes, organisational activities). Technochange differs from organisational change, in that in this type of change, information technologies, information technology specialists and technical methodologies are very clearly involved in the change, and technochange is distinguished by its complexity. Three or four stages are usually distinguished for the implementation of technology-induced changes in organisations by the most commonly used phases in the life cycle of technological change proposed by Markus (2004). In models of the acceptance of technological change, an organisation is treated as a combination of two interconnected systems, technical and social. The implementation of technological change is aimed at harmonising the structure of technical and social organisation, and improving the activities of the organisation. The success of technological change is linked to the balance of technology, consumers and tasks, and the political, technological and social consequences. In this way, structural, strategic and intellectual, as well as social and cultural dimensions are included at organisational and individual levels of change. An analysis of concepts of the implementation of technological change is useful in understanding not only the implementation of technological change itself, and the analysis of its technical characteristics and the management of their acceptance. It is also useful for understanding the social side of the organisational structure, its capacity and infrastructure levels, the personal reasons why individual employees tend to resist technological change, what interventions can be made, and how to influence workers' behaviour to help reduce their resistance to technological change.

This article reveals the research issues related to the implementation of technology-driven change, distinguishes differences in techno-change, information technology projects and organisational change programmes, and names the stages in the implementation of technology-induced change, and comparative technological models of research of acceptance of change. The scientific literature points out that techno-changes differ from the usual information technology and organisational change programmes, because not only do they focus on the improvement of technological activities, but they also have a huge impact on users (people, processes, organisational activities). Technochange differs from organisational change, in that in this type of change, information technologies, information technology specialists and technical methodologies are very clearly involved in the change, and technochange is distinguished by its complexity. Three or four stages are usually distinguished for the implementation of technology-induced changes in organisations by the most commonly used phases in the life cycle of technological change proposed by Markus (2004). In models of the acceptance of technological change, an organisation is treated as a combination of two interconnected systems, technical and social. The implementation of technological change is aimed at harmonising the structure of technical and social organisation, and improving the activities of the organisation. The success of technological change is linked to the balance of technology, consumers and tasks, and the political, technological and social consequences. In this way, structural, strategic and intellectual, as well as social and cultural dimensions are included at organisational and individual levels of change. An analysis of concepts of the implementation of technological change is useful in understanding not only the implementation of technological change itself, and the analysis of its technical characteristics and the management of their acceptance. It is also useful for understanding the social side of the organisational structure, its capacity and infrastructure levels, the personal reasons why individual employees tend to resist technological change, what interventions can be made, and how to influence workers' behaviour to help reduce their resistance to technological change.

This article reveals the research issues related to the implementation of technology-driven change, distinguishes differences in techno-change, information technology projects and organisational change programmes, and names the stages in the implementation of technology-induced change, and comparative technological models of research of acceptance of change. The scientific literature points out that techno-changes differ from the usual information technology and organisational change programmes, because not only do they focus on the improvement of technological activities, but they also have a huge impact on users (people, processes, organisational activities). Technochange differs from organisational change, in that in this type of change, information technologies, information technology specialists and technical methodologies are very clearly involved in the change, and technochange is distinguished by its complexity. Three or four stages are usually distinguished for the implementation of technology-induced changes in organisations by the most commonly used phases in the life cycle of technological change proposed by Markus (2004). In models of the acceptance of technological change, an organisation is treated as a combination of two interconnected systems, technical and social. The implementation of technological change is aimed at harmonising the structure of technical and social organisation, and improving the activities of the organisation. The success of technological change is linked to the balance of technology, consumers and tasks, and the political, technological and social consequences. In this way, structural, strategic and intellectual, as well as social and cultural dimensions are included at organisational and individual levels of change. An analysis of concepts of the implementation of technological change is useful in understanding not only the implementation of technological change itself, and the analysis of its technical characteristics and the management of their acceptance. It is also useful for understanding the social side of the organisational structure, its capacity and infrastructure levels, the personal reasons why individual employees tend to resist technological change, what interventions can be made, and how to influence workers' behaviour to help reduce their resistance to technological change.

The article analyses the relationship between democracy and technocracy invoking Lithuanian philosopher Vydūnas' view on the role of moral values playing in the state. Investigating projects directed to the welfare state creation the author asks how much these projects are technocratic in the narrow sense – performing with the help of knowledge of nature sciences, engineering, economics and other, and what role in these pro-jects moral values play. The author distinguishes two types of projects – technocracy in the narrow and in the wide sense. The latter is defined as social engineering based on the interdisciplinary discussion of experts on the questions linked with moral values. The main theses defended are the following: democracy ant technocracy as the methods of governance should not be contrasted; technocracy could not replace democracy which is the system defending freedom of the individual person; moral ideals (freedom, equality, justice, seeking of common good) are the basic guide in the sphere of values for the social engineering directed to the creation of welfare state.

The article analyses the relationship between democracy and technocracy invoking Lithuanian philosopher Vydūnas' view on the role of moral values playing in the state. Investigating projects directed to the welfare state creation the author asks how much these projects are technocratic in the narrow sense – performing with the help of knowledge of nature sciences, engineering, economics and other, and what role in these pro-jects moral values play. The author distinguishes two types of projects – technocracy in the narrow and in the wide sense. The latter is defined as social engineering based on the interdisciplinary discussion of experts on the questions linked with moral values. The main theses defended are the following: democracy ant technocracy as the methods of governance should not be contrasted; technocracy could not replace democracy which is the system defending freedom of the individual person; moral ideals (freedom, equality, justice, seeking of common good) are the basic guide in the sphere of values for the social engineering directed to the creation of welfare state.

Social research about online crime is a multi-disciplinary field addressing a wide array of topics since its inception in the 1980s. Based on a broad review of state-of-the-art literature and gaps identified in review publications (Holt, Bossler 2014; Stratton, Powell, Cameron 2017; Maimon, Louderback 2019, and others), in this paper I outline 41 key topic in social research about online crime, classified into four broad categories: 1) research focusing on specific types of online crime, 2) research about perpetrators, victims, and law enforcement, 3) research about online crime discourses and public perceptions, 4) research putting the local and global specifics of online crime into perspective. Based on the topic map, I undertook a systematic review of literature on research about online crime published in Lithuania from the empirical social scientific perspective. The results show that very few such studies are carried out in Lithuania. From 2004 to 2020, 26 publications have been found in total. 10 of them were theoretical briefs, while 16 were based on empirical data. Out of the 41 key topic, 14 were covered in the publications, while 29 or roughly two thirds remained unaddressed. The dominant contributors were legal scholars writing about the social aspects of online crime across a variety of topics, and mostly focusing on specific crime types. The most developed topic was cyberbullying, with contributions by scholars mostly from the fields of psychology and education. To fill in these glaring gaps, it is vital to develop this field of research with an emphasis on both wider and deeper research agendas, complex, valid and reliable research data and critical theoretical approaches, inviting systematic contributions from criminology, sociology, communication and media studies, and political science.

Social research about online crime is a multi-disciplinary field addressing a wide array of topics since its inception in the 1980s. Based on a broad review of state-of-the-art literature and gaps identified in review publications (Holt, Bossler 2014; Stratton, Powell, Cameron 2017; Maimon, Louderback 2019, and others), in this paper I outline 41 key topic in social research about online crime, classified into four broad categories: 1) research focusing on specific types of online crime, 2) research about perpetrators, victims, and law enforcement, 3) research about online crime discourses and public perceptions, 4) research putting the local and global specifics of online crime into perspective. Based on the topic map, I undertook a systematic review of literature on research about online crime published in Lithuania from the empirical social scientific perspective. The results show that very few such studies are carried out in Lithuania. From 2004 to 2020, 26 publications have been found in total. 10 of them were theoretical briefs, while 16 were based on empirical data. Out of the 41 key topic, 14 were covered in the publications, while 29 or roughly two thirds remained unaddressed. The dominant contributors were legal scholars writing about the social aspects of online crime across a variety of topics, and mostly focusing on specific crime types. The most developed topic was cyberbullying, with contributions by scholars mostly from the fields of psychology and education. To fill in these glaring gaps, it is vital to develop this field of research with an emphasis on both wider and deeper research agendas, complex, valid and reliable research data and critical theoretical approaches, inviting systematic contributions from criminology, sociology, communication and media studies, and political science.

Social research about online crime is a multi-disciplinary field addressing a wide array of topics since its inception in the 1980s. Based on a broad review of state-of-the-art literature and gaps identified in review publications (Holt, Bossler 2014; Stratton, Powell, Cameron 2017; Maimon, Louderback 2019, and others), in this paper I outline 41 key topic in social research about online crime, classified into four broad categories: 1) research focusing on specific types of online crime, 2) research about perpetrators, victims, and law enforcement, 3) research about online crime discourses and public perceptions, 4) research putting the local and global specifics of online crime into perspective. Based on the topic map, I undertook a systematic review of literature on research about online crime published in Lithuania from the empirical social scientific perspective. The results show that very few such studies are carried out in Lithuania. From 2004 to 2020, 26 publications have been found in total. 10 of them were theoretical briefs, while 16 were based on empirical data. Out of the 41 key topic, 14 were covered in the publications, while 29 or roughly two thirds remained unaddressed. The dominant contributors were legal scholars writing about the social aspects of online crime across a variety of topics, and mostly focusing on specific crime types. The most developed topic was cyberbullying, with contributions by scholars mostly from the fields of psychology and education. To fill in these glaring gaps, it is vital to develop this field of research with an emphasis on both wider and deeper research agendas, complex, valid and reliable research data and critical theoretical approaches, inviting systematic contributions from criminology, sociology, communication and media studies, and political science.

Social research about online crime is a multi-disciplinary field addressing a wide array of topics since its inception in the 1980s. Based on a broad review of state-of-the-art literature and gaps identified in review publications (Holt, Bossler 2014; Stratton, Powell, Cameron 2017; Maimon, Louderback 2019, and others), in this paper I outline 41 key topic in social research about online crime, classified into four broad categories: 1) research focusing on specific types of online crime, 2) research about perpetrators, victims, and law enforcement, 3) research about online crime discourses and public perceptions, 4) research putting the local and global specifics of online crime into perspective. Based on the topic map, I undertook a systematic review of literature on research about online crime published in Lithuania from the empirical social scientific perspective. The results show that very few such studies are carried out in Lithuania. From 2004 to 2020, 26 publications have been found in total. 10 of them were theoretical briefs, while 16 were based on empirical data. Out of the 41 key topic, 14 were covered in the publications, while 29 or roughly two thirds remained unaddressed. The dominant contributors were legal scholars writing about the social aspects of online crime across a variety of topics, and mostly focusing on specific crime types. The most developed topic was cyberbullying, with contributions by scholars mostly from the fields of psychology and education. To fill in these glaring gaps, it is vital to develop this field of research with an emphasis on both wider and deeper research agendas, complex, valid and reliable research data and critical theoretical approaches, inviting systematic contributions from criminology, sociology, communication and media studies, and political science.

The article gives a review of the scientific conference 'Culture, Consumption and Economics of Creativity: Philosophical, Sociological and Communicative Aspects' held at the Lithuanian Academy of Sciences. The text represents the course of the conference, the main thoughts of speakers, and some moments of discussion. Main topics analysed by the speakers of the conference were the following: consumption and creative society, consumer culture, creative industries and economics of creativity, social partnership in creative clusters, relationship between politics and culture, dialectics of culture and con-sumption, relationship between culture and economy, contradictions between creativity and economic sustainability; relations between capitalism, rationality and secularization; quarantgressions of frontiers of public and private, culture of consumption under conditions of pandemic coronavirus, the consumption of virtual culture and other.

The article gives a review of the scientific conference 'Culture, Consumption and Economics of Creativity: Philosophical, Sociological and Communicative Aspects' held at the Lithuanian Academy of Sciences. The text represents the course of the conference, the main thoughts of speakers, and some moments of discussion. Main topics analysed by the speakers of the conference were the following: consumption and creative society, consumer culture, creative industries and economics of creativity, social partnership in creative clusters, relationship between politics and culture, dialectics of culture and con-sumption, relationship between culture and economy, contradictions between creativity and economic sustainability; relations between capitalism, rationality and secularization; quarantgressions of frontiers of public and private, culture of consumption under conditions of pandemic coronavirus, the consumption of virtual culture and other.

Authors of this article analyze the process of innovation policy structure selection and prioritization from the perspective of national knowledge intensive industries. Innovation policy is analyzed in the context of the National Innovation System (NIS) development procedure. The systematic approach to innovation gives a realistic view of innovation processes and can hence serve as a ratable framework to derive innovation and technology policy measures. In order to utilize the systematic approach for the formulation and implementation of the innovation policy there is a need to analyze the relations between the system and the national innovation processes in high technology sector. [].

Authors of this article analyze the process of innovation policy structure selection and prioritization from the perspective of national knowledge intensive industries. Innovation policy is analyzed in the context of the National Innovation System (NIS) development procedure. The systematic approach to innovation gives a realistic view of innovation processes and can hence serve as a ratable framework to derive innovation and technology policy measures. In order to utilize the systematic approach for the formulation and implementation of the innovation policy there is a need to analyze the relations between the system and the national innovation processes in high technology sector. [].

Many of today's enterprise computing systems are powered by distributed object middleware. Such systems, which are common in industries such as telecommunications, finance, manufacturing, and government, often support applications that are critical to particular business operations. Because of this, distributed object middleware is often held to stringent performance, reliability, and availability requirements. Fortunately, modern approaches have no problem meeting or exceeding these requirements. The goal of this research was to familiarize with middleware technology especially with CORBA, Microsoft .NET Remoting and Microsoft .NET Web Services. In experimental part was proved that the most efficient technology is Microsoft .NET Remoting with TCP protocol. That means our choice was correct during development of our project "Cool Test Tool".

Many of today's enterprise computing systems are powered by distributed object middleware. Such systems, which are common in industries such as telecommunications, finance, manufacturing, and government, often support applications that are critical to particular business operations. Because of this, distributed object middleware is often held to stringent performance, reliability, and availability requirements. Fortunately, modern approaches have no problem meeting or exceeding these requirements. The goal of this research was to familiarize with middleware technology especially with CORBA, Microsoft .NET Remoting and Microsoft .NET Web Services. In experimental part was proved that the most efficient technology is Microsoft .NET Remoting with TCP protocol. That means our choice was correct during development of our project "Cool Test Tool".