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    <link>https://hdl.handle.net/10419/224669</link>
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        <rdf:li rdf:resource="https://hdl.handle.net/10419/224718" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/224720" />
        <rdf:li rdf:resource="https://hdl.handle.net/10419/224709" />
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    <dc:date>2026-04-29T22:04:12Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/224718">
    <title>Small-scale LNG Market Optimization – Intelligent Distribution Network</title>
    <link>https://hdl.handle.net/10419/224718</link>
    <description>Title: Small-scale LNG Market Optimization – Intelligent Distribution Network
Authors: Kuk, Edyta; Małkus, Bartłomiej; Kuk, Michał
Abstract: Intelligent Systems, thanks to their effectiveness and robustness, find many applications in various industries. One of such applications is optimization of distribution network of small-scale LNG market, which was highly dynamic throughout last years. LNG (Liquified Natural Gas) is a fuel produced from natural gas, but its volume is approx. 600 times smaller than in the gas (natural) state, which makes it more economically effective to transport and store. Distribution network consists of several pickup points (varying in LNG specification) and a number of destination points (varying in tanks capacities). From economic point of view, optimization of LNG truck tanks paths is an important factor in whole market development. The optimization process involves selecting a pickup point and a sequence of destination points with amount of LNG unloaded in each of them. Solution proposed in this paper is based on graph theory and advanced machine learning methods, such as reinforcement learning, recurrent neural networks and online learning. Optimization of distribution network translates directly into a number of economic benefits: reduction of LNG transport cost, shortening the delivery time, reduction of distribution costs and increase in the effectiveness of tank truck usage.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/224720">
    <title>Business Spending on Research and Development and its Relationship to Invention and Innovation</title>
    <link>https://hdl.handle.net/10419/224720</link>
    <description>Title: Business Spending on Research and Development and its Relationship to Invention and Innovation
Authors: Hunady, Jan; Pisar, Peter
Abstract: The paper deals with the problem of business spending on research and development and their relation to innovation activities. It is focused on R&amp;D in the business sector as a crucial part of the innovation system. R&amp;D expenditure can be seen as the main precondition of successful innovation. However, the successful transformation of R&amp;D investment into invention or innovation cannot be guaranteed. Our main aim is to examine the relationship between business R&amp;D expenditure, invention and innovation in the long-run. We also examine the level of business R&amp;D expenditure in EU countries. The long-run causalities have been tested by using panel cointegration approach on the macro-level panel data for EU countries. The scope of inventions is proxied by the share of firms introducing product or service innovation as well as the number of patents registered. Based on our results, there appears to be a positive causal effect of business R&amp;D expenditure on patenting in the long-run.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/224709">
    <title>City and Town Branding – A Case Study of the Slovenj Gradec Brand</title>
    <link>https://hdl.handle.net/10419/224709</link>
    <description>Title: City and Town Branding – A Case Study of the Slovenj Gradec Brand
Authors: Fink, Lucija
Abstract: The research deals with a relatively young and complex area of branding, i.e. the branding of cities and towns, on the example of Slovenj Gradec brand. The empirical part consists of two approaches to the town's brand recognisability. First, an analysis of in-depth interviews of professional representatives of the six areas or shareholder groups (economy, health care, tourism, culture, education and sport) is presented. Second, an analysis of the survey research is presented with the results in the following areas: the key qualitative elements of the professional public, noticeable characteristics and values (noticeable profile) of the town of Slovenj Gradec, the core of the town's brand (focus), the criteria of urbanism that influence the perception of the town.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://hdl.handle.net/10419/224721">
    <title>"Group-it": An Innovative Program for Scaling up Dissemination of Photovoltaic Panels</title>
    <link>https://hdl.handle.net/10419/224721</link>
    <description>Title: "Group-it": An Innovative Program for Scaling up Dissemination of Photovoltaic Panels
Authors: Bürki, Florian; Mastelic, Joëlle
Abstract: With 3% of the electricity produced by solar panels according to the Swiss Federal Office for Energy, Switzerland is behind the plan regarding the use of solar energy. Acceptance and dissemination of existing technology are key. This paper describes a co-designed program supporting citizens in the process of installing photovoltaic panels. The method used is based on the Living Lab Integrative Process, a mixed-method combining surveys, qualitative interviews and focus groups. We first explore the main motivations and barriers of the citizen with and without the co-designed program. We collected more than 350 observations to describe the main barriers to actions. We then developed a focus group to co-design the program with the main stakeholders including professionals, researchers and citizen. The principal barriers are linked to a lack of transparency in information and economic reasons. The main motivational drivers are energy independence and desire for greening their lifestyle. Support for decision making and the profitability of the panels are identified drivers which help citizens to be involved in the process and increase their motivation and acceptance regarding the program.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
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