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    170 research outputs found

    The Interrelation Between Responsible Research and Innovation Dimensions and Macro Indicators

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    Responsible Research and Innovation (RRI) concept has become an important topic in the academic community and in policy circles (van de Poel et al., 2017) and encompasses six main policy agendas (or dimensions): ethics; gender equality; governance; open access; public engagement; science education (RRI Tools, 2023). RRI concept, including gender (equality) as one of the dimensions, still lacks empirical explorations-based understanding. This paper aims to explore the peculiarities of interrelations between gender (equality) as one dimension of the Responsible Research and Innovation and societal progression in gender equality and innovativeness on macro level. Starting with generating original data-base of [n – 214] indicators quantitative secondary data analysis of descriptive characteristics of the selected variables and (Spearman) correlation (RS) analysis between the variables was accomplished. Descriptive and correlation analysis of interrelations between women’s involvement in four R&I (i.e. Business, Higher education, Governmental and Private Non-profit) sectors and Gender Equality Index and Global Innovation Index in 2013–2020 shows rather small changes of the indicators and fragmental interrelations between them during the period

    The Role of Artificial Intelligence, Financial and Non-Financial Data in Credit Risk Prediction: Literature Review

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    Small and medium-sized enterprises (SMEs) are of major importance in world economies and job creation. Financing is one of the key issues for SME development since SMEs are often considered riskier than large companies. It is argued in the literature that artificial intelligence (AI) and non-financial data could increase the financial inclusion of disadvantaged groups, such as SMEs. This article presents an overview of selected studies on credit risk prediction from the 1960s to 2022, covering topics of research work applying classical statistical methods, studies using AI methods on traditional financial data and studies applying AI methods on non-financial data. Literature overview results showed that the inclusion of non-financial data in credit risk prediction models could increase credit risk prediction performance, while AI methods can enable the inclusion of non-financial data. Since non-financial data potentially could be used as alternative data in credit prediction models, AI and non-financial data could help to increase access to finance for SME

    The Development of Sustainable Business Models: Concept, Elements and Importance

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    Advances in technology, falling trade barriers, economies of scale and domestic market saturation are considered some of the key drivers behind globalisation. Globalising businesses require the management of complex solutions to coordinate resources and processes across functions and geographies. The importance of strong business models is therefore vital in view of increasing global competition. Aided by the development of sustainable business models, entrepreneurs and small firms can confidently participate in networks and capture value from networking relationships, regionally and internationally, to enhance their global presence. The aim of this research is to investigate the importance of development of sustainable business models for international companies. Results showed the development of sustainable business models are important in motivating corporate innovative measures for sustainability, and this is a driving force behind competitivenes

    The Impact of Multi-Culture on International Business

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    Migration of populations from various backgrounds and cultures is an important feature of globalisation and the development of global society. Migration, free labour movement, and the cultural diversity they generate have all become significant components of current global economic theory and demographic growth. They stress the importance of coexistence and collaboration among different ethnicities, countries, and cultures. As many Western cultures experience declining working-age populations, the solution appears to be in the hiring of immigrants and foreigners. However, this results in a clash of cultures, beliefs, and fundamental societal ideals. It is consequently critical to recognise and grasp the nuances that exist in multicultural corporate environments, as well as to benefit from the managerial techniques that emerge in those environments. Multicultural and diversity management can thus become a useful instrument for boosting the efficacy of international business practices and, as a result, become more widely adopted

    Prof. Vladas Gronskas International Scientific Conference

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    The Conceptual Model of the BIM4NZEB-DS System for Selecting Technological Variants of Rational Passive Energy Efficiency Measures for a Sustainable Building

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    Implementing sustainable solutions in building design is one of the significant elements in achieving the transition to sustainability. The diversity of structural elements, construction materials, and the various preferences of interested parties complicate the decision-making process. Building Information Modeling (BIM) provides a wide range of available technological solutions and methods for automated decision support and can make decision-making more efficient. This study presents the conceptual model for BIM4NZEB-DS system for the automated selection of rational variants of passive energy efficiency measures. The algorithm of this system will integrate the solutions for data transfer from the BIM model and multi-criteria methods for the analysis of variants. The assessment of variants is based on economic and environmental criteria. The purpose of the system is to increase the reliability of the assessment, optimise the technological and human resources required, and minimise the time of decision-making. The developed system will be validated using the BIM model of real-case buildin

    The Importance of Information in Shaping Sustainable Human Behaviour

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    As the climate crisis has become a growing issue in recent decades, sustainable development has become a focus of attention for the international community. In 2015, the United Nations launched the Sustainable Development Goals (SDGs), which call on countries to grow their economies and meet their social needs with the least possible damage to the environment. The aim is to preserve natural resources for future generations. As a result, various policies have been introduced and integrated in different countries to address the problematic aspects of sustainable development. One of the most important catalysts for sustainable development is the promotion of sustainable consumer behaviour. Sustainability requires a fundamental change in individual behaviour. Achieving Sustainable Development Goals will help ensure that future generations can meet their needs. Research to date shows that individuals still do not behave sustainably. Understanding what factors influence sustainable individual behaviour and how to persuade people to behave sustainably is therefore of growing scientific interest. The external and internal factors influencing an individual’s behaviour are based on information sources. The aim is to explain how, in what way, and at what level, initial information data is perceived and used by the individual. As a result, a study was carried out to investigate the impact of information in shaping sustainable individual behaviour in Lithuani

    Foreword

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    The Abstract Book of the XX Conference for Junior Scientists in Psychology

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    Conference for Junior Scientists in Psychology is an annual event organized by Ph.D. students at Vilnius University, Institute of Psychology. The conference gives an opportunity for psychology students and junior researchers from various universities in Lithuania to present their scientific work and findings. In 2023, the conference focused on the importance of community and collaboration in research work

    66th International Open Readings Conference for students of Physics and Natural Sciences. Annual Abstract Book 2023

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    “Open Readings 2023” – is an international academic platform for students and young researchers from all over the world to present their ongoing research results and practices in the fields of physics and natural sciences. The 66th International Scientific Conference for Students of Physics and Natural Sciences gathers people to discuss, learn, exchange and share their scientific experience, meet key experts and enjoy an exciting programme. The conference includes lectures of well-known, leading and accomplished scientists and presentations of students’ research. “Open Readings 2023” gives an opportunity for BSc, MSc and PhD students, who are doing their scientific research, to present it to a larger audience, and get constructive criticism and helpful advice. This book gives an overview of all Open Readings 2023 conference presentations

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