1. Fostering ethical business practices : a bibliometric review of the linkages of organizational culture, environment, and business ethicsArif Rahman Hakim, Nurul Asfiah, 2024, original scientific article Abstract: Business ethics is becoming an important concern in the era of increasing sustainability issues, and a strong organizational culture can be the foundation for implementing business ethics. This research analyzes publication trends related to organizational culture, environment, and business ethics, as well as how to build an ethical business environment. The study used bibliometric analysis with Scopus data sources with 134 documents from 1994-2024 with the keywords "organizational culture”, “organizational environment”, and “business ethics", VOSViewer and NVIVO software were utilized to analyze data. It was discovered that ethical and integrity leadership, a strong organizational culture, and ethical communication are key pillars in creating an ethical and sustainable business environment. This research highlights the importance of integrating ethical values in organizational policies and governance, as well as the active role of leaders in upholding ethical standards. Open and honest communication and a sustainable CSR program reinforce organizational ethical practices. These findings highlight the importance of strengthening ethics policies, implementing regular ethics training, and building an organizational culture that supports ethical values to improve long-term performance. The research also offers theoretical insights into the strategic role of leadership and culture in sustainable business ethics.
Keywords: organizational culture, organizational environment, business ethics, sustainability, bibliometric
Published in DKUM: 17.12.2024; Views: 0; Downloads: 7
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2. Using generative artificial intelligence in bibliometric analysis : 10 years of research trends from the European Resuscitation congressesNino Fijačko, Ruth Masterson Creber, Benjamin S. Abella, Primož Kocbek, Špela Metličar, Robert Greif, Gregor Štiglic, 2024, other scientific articles Abstract: Aims: The aim of this study is to use generative artificial intelligence to perform bibliometric analysis on abstracts published at European Resuscitation
Council (ERC) annual scientific congress and define trends in ERC guidelines topics over the last decade.
Methods: In this bibliometric analysis, the WebHarvy software (SysNucleus, India) was used to download data from the Resuscitation journal’s
website through the technique of web scraping. Next, the Chat Generative Pre-trained Transformer 4 (ChatGPT-4) application programming interface
(Open AI, USA) was used to implement the multinomial classification of abstract titles following the ERC 2021 guidelines topics.
Results: From 2012 to 2022 a total of 2491 abstracts have been published at ERC congresses. Published abstracts ranged from 88 (in 2020) to 368
(in 2015). On average, the most common ERC guidelines topics were Adult basic life support (50.1%), followed by Adult advanced life support
(41.5%), while Newborn resuscitation and support of transition of infants at birth (2.1%) was the least common topic. The findings also highlight that
the Basic Life Support and Adult Advanced Life Support ERC guidelines topics have the strongest co-occurrence to all ERC guidelines topics, where
the Newborn resuscitation and support of transition of infants at birth (2.1%; 52/2491) ERC guidelines topic has the weakest co-occurrence.
Conclusion: This study demonstrates the capabilities of generative artificial intelligence in the bibliometric analysis of abstract titles using the example
of resuscitation medicine research over the last decade at ERC conferences using large language models.
Keywords: generative artificial intelligence, bibliometric analysis, congress, emergency medicine, European Resuscitation Council
Published in DKUM: 27.11.2024; Views: 0; Downloads: 1
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4. Big data in sports : a bibliometric and topic studyAna Šuštaršič, Mateja Videmšek, Damir Karpljuk, Ivan Miloloža, Maja Meško, 2022, review article Abstract: Background: The development of the sports industry was impacted by the era of Big Data due to the rapid growth of information technology. Unfortunately, that has become an increasingly challenging Issue.
Objectives: The purpose of the research was to analyze the scientific production of Big Data in sports and sports-related activities in two databases, Web of Science and Scopus.
Methods/Approach: Bibliometric analysis and topic mining were done on 51 articles selected after four exclusion criteria (written in English, journal articles, the final stage of publication, and a detailed review of all full texts). The software tool used was Statistica Data Miner.
Results: We found that the first articles appeared in Scopus in 2013 and WoS in 2014. USA and China are countries which produced the most articles. The most common research areas in WoS and Scopus are Public environmental and occupational health, Medicine, Environmental science ecology, and Engineering.
Conclusions: We conducted that further research and literature review will be required as this is a broad and new topic.
Keywords: big data, sport, bibliometric study, topic study, health care management, services, decision making
Published in DKUM: 05.07.2024; Views: 154; Downloads: 11
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5. The complexity and interconnectedness of circular cities and the circular economy for sustainabilityKristijan Brglez, Matjaž Perc, Rebeka Kovačič Lukman, 2023, original scientific article Abstract: In our study, we are evaluating the dynamic interplay between circular cities and the circular economy, revealing connections shaped by new research insights, using Web of Science database. We have in depth analysed 671 publications from 1990 to mid- 2023, employing Leximancer and VOSviewer tools. Our analysis uncovered key themes, including buildings, waste management, value chains, and sustainable development, linking the circular cities concept and circular economy framework. Emerging research trends, such as urban metabolism, urban mining, governance models, the built environment, sustainability benchmarks, and value chain management, signify deliberate shifts towards higher circular development and implementation. These trajectories harmonise with overarching sustainable development goals. Contemporary research emphasises urban mining, circular indicators, adaptive resource reuse, and urban structure regeneration. This focus facilitates transitioning from linear models to heightened circularity within urban contexts. Research inclination is shifting from traditional economic and environmental concerns towards holistic urban configurations that prioritise social integration, communal well-being, and the dynamics of the social economy. Through this analytical expedition, we offer novel insights that enhance our understanding of the intricate symbiosis between circular cities and the circular economy. Our findings provide a scientific foundation for formulating targeted strategies by decision-makers and guiding urban landscapes towards transformative trajectories aligned with sustainable development objectives and sustainable cities.
Keywords: bibliometric analysis, circular city, circular economy, content analysis, Leximancer, sustainability, sustainable development goals
Published in DKUM: 29.03.2024; Views: 268; Downloads: 27
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6. Bibliometric patterns of research funding : a case of sports medicineJernej Završnik, Peter Kokol, Rado Pišot, Helena Blažun Vošner, 2015, original scientific article Keywords: bibliometric analysis, bibliographic databases, Scopus, sports medicine, text minig, benchmarking, reputational yardsticks
Published in DKUM: 14.10.2015; Views: 1989; Downloads: 47
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