1,720,984 research outputs found
The revolutionary role of digital transformation in financing Small and Medium Enterprises (SMEs)
Get PDFSmall and Medium Enterprises (SMEs) are pivotal to economic growth and innovation but often face significant challenges in accessing finance. This review paper explores the revolutionary role of digital transformation in SME financing, highlighting how technological advancements address traditional barriers. The paper begins with an overview of the economic significance of SMEs and the persistent financing gap they face. It then delves into the financial sector's digital transformation, focusing on key innovations such as fintech, blockchain, and AI and their impact on traditional banking models. The challenges SMEs encounter in securing finance, including historical barriers, market inefficiencies, and regulatory constraints, are examined in detail. The paper discusses digital solutions reshaping SME financing, including fintech platforms, blockchain applications, AI, and big data analytics for enhanced credit assessments. Finally, it identifies future trends and opportunities in digital SME financing, offering policy recommendations to support this transformative shift. The findings underscore the potential of digital technologies to democratize access to finance for SMEs, lower costs, and increase efficiency, ultimately fostering economic development.
Keywords: SME Financing, Digital Transformation, Fintech, Blockchain, Artificial Intelligence, Financial Inclusion
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Protecting digital assets in Fintech: Essential cybersecurity measures and best practices
No full textCybersecurity is paramount for protecting digital assets and maintaining consumer trust in the rapidly evolving fintech sector. This review paper explores essential cybersecurity measures and best practices, focusing on encryption, multi-factor authentication, security audits, secure software development, and network security. The paper also examines the threat landscape, highlighting common cyber threats such as phishing, malware, insider threats, and data breaches and their impact on fintech operations. Future trends in fintech cybersecurity, including the role of emerging technologies like artificial intelligence (AI) and blockchain, are discussed, along with predictions for future challenges. Strategic recommendations for fintech companies emphasize the importance of employee training, incident response planning, collaboration with cybersecurity experts, regulatory compliance, and continuous monitoring. The paper concludes by underscoring the necessity of proactive cybersecurity measures to safeguard financial data and ensure the integrity of fintech services.
Keywords: Fintech cybersecurity, Encryption, Multi-factor Authentication, Artificial Intelligence, Blockchain, Threat Intelligence
Fintech integration in Small and Medium Enterprises: Enhancing economic resilience and operational efficiency
Get PDFThe integration of financial technology (Fintech) in small and medium-sized enterprises (SMEs) offers substantial benefits in enhancing economic resilience and operational efficiency. This paper explores the multifaceted role of Fintech in providing financial inclusion, improving cash flow management, facilitating access to credit, and reducing operational costs for SMEs. Additionally, it examines how Fintech tools aid in risk management, business continuity, market adaptability, and financial stability. The paper also highlights the operational efficiencies gained through automation, data analytics, supply chain optimization, and customer relationship management. Despite these benefits, SMEs face significant challenges, including regulatory and compliance issues, barriers to technology adoption, and cybersecurity concerns. The paper concludes with practical recommendations for SMEs to integrate Fintech solutions effectively and suggests areas for future research to understand further the long-term impact and potential of Fintech in enhancing SME performance.
Keywords: Fintech, SMEs, Economic Resilience, Operational Efficiency, Financial Inclusion
Building resilience in small businesses through effective relationship management and stakeholder engagement
Get PDFIn an increasingly volatile and competitive business environment, building resilience is essential for the survival and growth of small businesses. This paper explores how effective relationship management and stakeholder engagement can strengthen resilience in small enterprises. The focus is on developing strong relationships with customers, employees, suppliers, and the broader community, alongside fostering transparent communication and trust. Effective relationship management begins with understanding and addressing the needs and expectations of key stakeholders. For small businesses, maintaining strong customer relationships is paramount. This involves delivering exceptional customer service, personalized experiences, and consistent value. By actively listening to customer feedback and adapting to their evolving preferences, businesses can enhance customer loyalty and reduce churn rates. Employee engagement is another critical aspect of building resilience. Engaged employees are more productive, innovative, and committed to the company's success. Small businesses should prioritize creating a positive work environment, offering opportunities for professional growth, and recognizing employee contributions. Open communication channels and inclusive decision-making processes can further boost employee morale and retention. Supplier relationships also play a vital role in business resilience. Establishing reliable and mutually beneficial partnerships with suppliers ensures a steady flow of essential goods and services. Small businesses should negotiate favorable terms, maintain transparent communication, and diversify their supplier base to mitigate risks associated with supply chain disruptions. Community engagement and corporate social responsibility (CSR) initiatives enhance the reputation and credibility of small businesses. By actively participating in community development and environmental sustainability efforts, businesses can build strong local networks and garner support from the community. These initiatives not only improve brand image but also create a sense of purpose and belonging among stakeholders. Effective stakeholder engagement requires transparent communication and trust-building. Small businesses should regularly update stakeholders on business developments, challenges, and successes. Utilizing digital platforms, social media, and newsletters can facilitate timely and effective communication. Building trust involves demonstrating consistency, integrity, and accountability in all business dealings. In conclusion, building resilience in small businesses through effective relationship management and stakeholder engagement involves nurturing strong connections with customers, employees, suppliers, and the community. By fostering transparent communication, trust, and mutual support, small businesses can enhance their adaptability, sustain growth, and navigate the complexities of the modern business landscape.
Keywords: Resilience, Small Businesses, Management, Stakeholder, Effective Relationship
Leveraging artificial intelligence to enhance customer service analytics and improve service delivery
Get PDFThis paper explores the transformative potential of Artificial Intelligence (AI) in enhancing customer service analytics and improving service delivery. It delves into the significant advancements in AI technologies, such as Natural Language Processing (NLP), Machine Learning (ML), chatbots, virtual assistants, and sentiment analysis, highlighting their role in creating more responsive, personalized, and efficient customer service experiences. The paper discusses how AI enables comprehensive data collection and integration from multiple sources, facilitates real-time analytics, and leverages predictive capabilities to forecast customer needs. It also addresses the ethical considerations of privacy, transparency, and fairness in AI applications and examines the technical and organizational challenges businesses face when adopting AI. Recommendations for future research are provided, focusing on integrating emerging technologies and exploring advanced emotion recognition to enhance AI-driven customer service analytics further. The findings underscore the immense potential of AI to revolutionize customer service, offering actionable insights for businesses to implement AI effectively and sustainably.
Keywords: Artificial Intelligence, Customer Service Analytics, Machine Learning, Predictive Analytics, Sentiment Analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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