Innovative entrepreneurship has increasingly been acknowledged as one of the most vital drivers of economic development, job creation at high value, wealth creation, and business growth. This study analyzes the current status and evolution of research on innovative entrepreneurship and sustainability in the context of emerging economies, based on a bibliometric analysis of 132 articles indexed in the Web of Science database. The search was guided by relevant keywords, such as “innovative entrepreneurship*” and “sustainab*”. Systemic barriers limit the scalability of innovative ventures, especially in developing countries. Frugal and green innovations, digital technologies, and rural enterprises show promise but face challenges like resource constraints, ethical concerns, and policy gaps. Collaborative, equity-focused approaches are essential to ensure entrepreneurship drives sustainable and inclusive development. Further studies should expand the data source, increase the pool of articles, and develop cross-country comparisons to enhance global understanding. This may lead to a better understanding of innovative entrepreneurship and sustainability that can be used to create actionable strategies for development in various economic contexts.

Purpose: This paper aims to analyze the evolution and impact of artificial intelligence (AI) in the financial industry by examining the growth of scientific publications from 1991 to 2023.Design/methodology/approach: The study employs a bibliometric analysis to quantify and visualize the evolution of AI research in finance. We analyze publication trends, citation patterns, and collaboration networks. Thematic keyword analysis is conducted to track the emergence of dominant research themes over time, identifying key areas where AI is influencing financial services.Findings: The study confirms an exponential growth in research output on AI applications in finance, particularly in recent years. This growth is driven by increasing interest in machine learning algorithms, big data analytics and automation in financial decision-making. Leading academic journals and institutions have played a crucial role in shaping discourse around AI-driven financial transformation. Thematic networks reveal a dual influence: AI is not only enhancing technical aspects such as fraud detection, algorithmic trading and credit scoring but is also contributing to broader strategic shifts in financial regulation, customer experience and ethical considerations. However, the rapid expansion of research has led to fragmentation, with diverse subfields developing independently. This fragmentation, along with ethical and regulatory challenges, underscores the need for interdisciplinary collaboration and policy frameworks to guide responsible AI adoption.Originality/value: The findings contribute to academic and industry debates by offering a structured understanding of AI’s impact on finance and proposing pathways for future interdisciplinary research and ethical governance.

Purpose: This study systematically reviews the impact of open access (OA) on academic visibility, focusing on how different OA models affect citations, altmetrics, downloads and page views. It aims to clarify whether OA provides a consistent visibility advantage and under which disciplinary, geographic and methodological conditions it emerges. Design/methodology/approach: A systematic search of the Web of Science (WoS) Core Collection was conducted on March 15, 2025, identifying 157 records. After screening and eligibility assessment, 45 peer-reviewed articles published between 2006 and 2024 were included. Data analysis combined descriptive statistics with bibliometric methods using Microsoft Excel and R Bibliometrix (Biblioshiny). Trends in publications, journals and authors were examined alongside international collaboration networks, keyword co-occurrence maps and temporal keyword evolution. A structured synthesis table summarized study characteristics, methodologies and findings. Findings: The evidence shows that OA enhances academic visibility but in a heterogeneous manner. Green OA and preprints consistently increase citations and accelerate readership, while Gold OA produces mixed outcomes: positive in medicine and biology, but neutral or negative in economics, library science, and translation studies. Altmetrics highlight OA's broader societal impact, especially in the humanities and social sciences, where freely available works attract attention from social media, blogs and policy documents. International collaboration strengthens the OA advantage, while disparities remain across regions, particularly in Africa and Asia. Publication costs, repository infrastructure and editorial practices further influence outcomes. Originality/value: By integrating bibliometric and altmetric perspectives, this review reframes OA visibility as a multidimensional construct rather than a universal effect. The findings provide nuanced insights for researchers, publishers and policymakers seeking to maximize impact and equity in scholarly communication.

Accounting professionals play a pivotal role in reducing environmental impact through systems like activity-based costing (ABC). This study offers a thorough review of research on ABC and environmental impact, providing insights into the current literature and guiding future developments. It systematically reviews 58 articles published in the Web of Science from 1998 to 2023, using Excel and the R package Bibliometrix for data analysis. The findings indicate a steady increase in research on ABC and environmental impact. Key contributions highlight the advantages of ABC in minimizing environmental impact across industries such as sustainable construction, metallurgy, transportation, and manufacturing. Emerging research directions include developing costing systems to reduce environmental impact, optimizing supply chain cost management models, and applying new technologies to tackle environmental challenges in production processes. Two primary research themes, identified as “motor themes,” are crucial for advancing this field: life-cycle assessment management models, which integrate environmental factors throughout a product or service’s life cycle; and the performance and impact of environmental cost management systems, which evaluate the effectiveness of these systems in reducing ecological footprints while maintaining profitability. These areas are essential for driving future research and innovation at the intersection of cost management and environmental sustainability.