Bucs Lorant

Dr. Bucs Lorant

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 December 2024 in Electronics
Verified
Journal Article
Open access
PDF file
CACarmen Elena Anton
Carmen Elena Anton
Eliza CIOBANUEliza CIOBANU
Eliza CIOBANU
GBGABRIEL BRATUCU
GABRIEL BRATUCU
BLBucs Lorant
Bucs Lorant
Integrated reporting is essential for businesses to communicate long-term value creation. Despite growing interest, little research has examined AI technologies like chatbots in sustainable reporting practices. This study addresses this gap, exploring chatbot adoption within 11,113 Romanian accounting and consultancy firms in Romania’s emerging digital landscape. Researchers used Python’s Seaborn library to analyze financial data from 2018 to 2022, finding that companies with higher revenue and liquidity were more likely to make their mark on how to achieve integrated reporting. Additionally, this study revealed the potential of chatbot technology adoption to enhance financial reporting and management, significantly improving financial reporting efficiency, accuracy, and accessibility. By automating data collection and analysis, generating real-time reports, and improving communication with stakeholders, chatbots can significantly improve efficiency and accuracy in financial processes. By addressing the challenges and capitalizing on the opportunities, firms can use chatbot technology to create more efficient, effective, and sustainable reporting practices. The findings contribute to this field of knowledge on sustainable reporting by examining the potential of technology and artificial intelligence (virtual assistants) to improve stakeholder communication. This study provides a case study from Romania, with implications for other regions.

18 November 2024 in Administrative Sciences
Verified
Journal Article
Open access
PDF file
ECEcaterina Coman
Ecaterina Coman
ISIONELA - ANDREEA STOICOV
IONELA - ANDREEA STOICOV
LTLaurentiu Gabriel Tiru
Laurentiu Gabriel Tiru
GBGABRIEL BRATUCU
GABRIEL BRATUCU
Eliza CIOBANUEliza CIOBANU
Eliza CIOBANU
Claudiu ComanClaudiu Coman
Claudiu Coman
The pandemic has led to significant changes in teaching environments, which may have affected teacher engagement and performance. The aim of the paper is to investigate the levels of work engagement (WE) and work performance (WP) during the pandemic among teachers in primary and lower secondary schools in Romania and to identify if the dimensions of these two concepts differ according to gender, age, residence, status, teaching degree, and course profile, filling a gap in the specialized literature regarding these variables in Romanian education. We conducted a survey between February and March 2022 on a sample of 1051 teachers using the Utrecht Work Engagement Scale (UWES) and the Individual Work Performance Questionnaire (IWPQ 0.3). Teachers reported a high level of engagement and work performance, higher levels of WE being identified among female teachers and those teaching in rural areas. Younger teachers showed the lowest work engagement, despite their familiarity with the digital tools used during the COVID-19 pandemic. Interestingly, while gender and employment status did not have a significant impact on job performance, contextual performance was higher among tenured teaching staff and women. In addition, the profile of subjects taught significantly affected engagement and performance. The results of this research can contribute to a more dynamic and supportive educational system, ultimately leading to improved outcomes for teachers and students.

28 April 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
Gherheș VasileGherheș Vasile
Gherheș Vasile
Claudiu ComanClaudiu Coman
Claudiu Coman
ABAnna Bucs
Anna Bucs
AOAdrian Otovescu
Adrian Otovescu
BLBucs Lorant
Bucs Lorant
This study presents a bibliometric analysis of scientific research on climate change awareness campaigns, using data from the Web of Science (WoS) database and the keywords “climate change” and “campaign”. Publications from 1994 to 2024 were examined to identify key trends, author networks, and institutional contributions. Following PRISMA guidelines, 1274 records were initially retrieved; after applying exclusion criteria, 1207 documents were included in the final dataset. The results reveal a steady growth in publication output, especially over the last decade, with dominant contributions from environmental sciences, meteorology and atmospheric research, and science and technology studies. While “campaign” is frequently mentioned, it often serves as a methodological or communicative element within broader climate-related research. The United States, the United Kingdom, and Germany lead in publication volume and influence, with increased contributions from countries in the Global South. The global collaboration map highlights strong international efforts and interdisciplinary integration. Based on these findings, future research should evaluate campaign effectiveness, leverage digital tools, foster cross-regional knowledge exchange, and strengthen the link between scientific evidence and public policy. This study offers a foundation for more inclusive, impactful, and evidence-driven climate change communication strategies.

23 July 2026 in Systems
Verified
Journal Article
Open access
PDF file
BLBucs Lorant
Bucs Lorant
ABAnna Bucs
Anna Bucs
Viorica-Mirela Stefan-DuicuViorica-Mirela Stefan-Duicu
Viorica-Mirela Stefan-Duicu
CNCristina Nicolau
Cristina Nicolau
Artificial intelligence (AI) is increasingly reshaping production management by enabling data-driven optimization, predictive decision-making, and more adaptive operational systems across manufacturing. With research activity in this area growing rapidly, the literature is fragmented; thus, understanding the current reconfigurations of production management driven by AI has become difficult, though necessary. This study offers a comprehensive analysis of scientific publications (n = 439) on AI in production management published between 2016 and 2026. Research was conducted through an adapted selection process guided by Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) to ensure transparency, while data were analyzed using VOSviewer and complementary statistics, combining keyword co-occurrence mapping, subject area classification, and country and author collaboration networks. Findings indicate an increase in research activity, with computer science, engineering and telecommunications emerging as the primary foundations of the field. The analysis identifies three interconnected thematic directions: AI-enabled smart manufacturing and operational optimization, including scheduling, production planning, predictive maintenance, and quality control; sustainability- and resilience-oriented production and supply chain transformation; and digital twin-based, human-centered, and knowledge-driven production systems. Moreover, international collaboration patterns show a highly globalized research landscape led by Germany, France, Italy, Sweden, Norway and South Korea. Overall, bibliometric patterns suggest an emerging framing of AI in production management research which needs more attention and further development.