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    <link>https://rfos.fon.bg.ac.rs/handle/123456789/3</link>
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    <pubDate>Sat, 29 Aug 2026 03:21:35 GMT</pubDate>
    <dc:date>2026-08-29T03:21:35Z</dc:date>
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      <title>THE USE OF GENERATIVE AI TOOLS BY LOGISTICS PROFESSIONALS IN GERMANY, CROATIA, AND SERBIA</title>
      <link>https://rfos.fon.bg.ac.rs/handle/123456789/3287</link>
      <description>Title: THE USE OF GENERATIVE AI TOOLS BY LOGISTICS PROFESSIONALS IN GERMANY, CROATIA, AND SERBIA
Authors: Cvetić, Biljana; Bernhard Axmann; Vanina Macowski Durski Silva; Maja Trstenjak
Abstract: Тhe aim of this study is to examine the use of general generative artificial intelligence (AI) tools and generative AI office tools among logistics professionals in Germany, Croatia, and Serbia. To that end, an exploratory analysis about available generative AI tools and their use in logistics is conducted. Then, an empirical study is performed to investigate generative AI tool utilization among German, Croatian, and Serbian logistics professionals. This study provides new insights into the profiles of logistics professionals from these three countries, as well as their utilization and satisfaction with general generative AI tools and generative AI office tools.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Beyond Profit Maximization: How Beekeeping Entrepreneurs Navigate Multiple Success Logics in Ecosystem-Dependent Ventures</title>
      <link>https://rfos.fon.bg.ac.rs/handle/123456789/3286</link>
      <description>Title: Beyond Profit Maximization: How Beekeeping Entrepreneurs Navigate Multiple Success Logics in Ecosystem-Dependent Ventures
Authors: Tihić, Mirza; Stanimirović, Petar; Šahinpašić, Asim
Abstract: Entrepreneurship research has traditionally emphasized profit maximization, yet ecosystem-dependent ventures challenge this assumption. This study investigates how beekeeping entrepreneurs define and pursue success through the lens of Self-Determination Theory (SDT). Using survey data from 383 active beekeepers across the United States and the Balkans, we examine the relationships between work motivation and four success dimensions: financial, environmental, civic, and personal. The findings reveal that autonomous motivation substantially exceeds controlled motivation and is strongly associated with environmental stewardship and personal fulfillment, whereas controlled motivation predicts financial success orientation. Even commercial beekeepers prioritize environmental outcomes over financial returns, demonstrating the dominance of non-economic institutional logics. These results extend SDT to entrepreneurial settings and challenge conventional assumptions that financial performance is the primary indicator of entrepreneurial success. The study introduces beekeeping as a critical case of ecosystem-dependent entrepreneurship and offers theoretical and practical implications for supporting sustainability-oriented entrepreneurial ventures.</description>
      <pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://rfos.fon.bg.ac.rs/handle/123456789/3286</guid>
      <dc:date>2026-06-01T00:00:00Z</dc:date>
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    <item>
      <title>DIPIM model: Comprehensive Process for Opening Public Data</title>
      <link>https://rfos.fon.bg.ac.rs/handle/123456789/3285</link>
      <description>Title: DIPIM model: Comprehensive Process for Opening Public Data
Authors: Borozan, Tea; Stanimirović, Petar; Krivokapić, Đorđe
Abstract: Research Question: This paper investigates which concrete steps are essential for opening data in public institutions to ensure comprehensiveness, adaptability and sustainability of the process. Motivation: The global movement toward open data is gaining momentum, but public institutions often lack clear, actionable guidance for effective implementation. Building on foundational works by Penteado, Maldonado and Isotani (2023), Charalabidis et al. (2018), and Zuiderwijk, Janssen, Choenni and Meijer (2014a), which highlight that existing frameworks are often overly technical, fragmented, and misaligned with institutional needs, this paper introduces the DIPIM model - a framework integrating international open data standards with Serbia’s legal and administrative context. The proposed model offers a practical roadmap for opening public data in a comprehensive, adaptable, and sustainable way—enhancing transparency, fostering innovation, and strengthening trust in public administration. Idea: This paper explores how public institutions can implement open data initiatives through a process-based model grounded in international practices and adapted to local contexts. It identifies key steps via thematic analysis of existing guidelines and validates them through expert insights to ensure relevance and practical applicability. Data: The research analysed ten international and national open data guidelines, and also included semi-structured interviews with five domain experts who possess both technical and procedural knowledge of open data processes. Tools: The research process followed Design Science Research principles. A qualitative thematic analysis was used to extract common patterns from existing guidelines, which were then consolidated into a new model, further expanded and aligned with the local legal context, and finally validated through expert interviews. Findings: The fivephase, 21-step DIPIM model offers a clear, actionable framework for opening public data across diverse institutional settings. Unlike existing models, it combines international best practices with local legal contexts, enhancing practical relevance. Expert evaluations confirmed its clarity and long-term applicability. This study offers a policy-aligned, practiceoriented approach, helping governments effectively plan and sustain open data initiatives, with significant implications for promoting transparency, trust, and innovation in public administration. Contribution: This paper contributes to the literature by developing and validating the DIPIM model, a comprehensive and actionable framework for opening data in public institutions, aligned with international practices and the Serbian legal context.</description>
      <pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://rfos.fon.bg.ac.rs/handle/123456789/3285</guid>
      <dc:date>2026-05-01T00:00:00Z</dc:date>
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    <item>
      <title>Roles, Responsibilities, and Value Flows: A Stakeholder Map of Micro-Credential Processes in Higher Education Ecosystem</title>
      <link>https://rfos.fon.bg.ac.rs/handle/123456789/3284</link>
      <description>Title: Roles, Responsibilities, and Value Flows: A Stakeholder Map of Micro-Credential Processes in Higher Education Ecosystem
Authors: Naumović, Tamara; Simić, Milica; Suvajdžić, Marko; Vulić, Marko; Bjelica, Artur
Abstract: Micro-credentials are transforming how learning achievements  are  recognized  across  formal  and  non-formal education. This paper   maps   the   stakeholder   landscape   of micro-credential   processes,   clarifying   roles,   responsibilities, and  value  flows  among  participants.  Drawing  on  stakeholder theory  and  ecosystem  mapping,  five  core  roles  are  identified:earner, course provider, issuer, verifier/viewer,andpolicy maker;and analyzed across four process groups:learning and earning, issuance,  verification  and  recognition,andmaintenance.The paper   contributes   by   systematizing   stakeholders   and   their interrelations,  offering  a  structuredview  of  value  exchanges that  supports  the  design  of  interoperable,  transparent,  and trustworthy micro-credential ecosystems in higher education.</description>
      <pubDate>Mon, 08 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://rfos.fon.bg.ac.rs/handle/123456789/3284</guid>
      <dc:date>2025-12-08T00:00:00Z</dc:date>
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