This study aims to evaluate customer and employee satisfaction at Luna Park through sentiment analysis of online reviews and internal feedback. Utilizing advanced sentiment analysis tools, the research systematically categorizes and interprets the opinions expressed in both customer reviews available online and feedback provided by employees. This dual approach provides a comprehensive view of satisfaction levels from two critical perspectives. The findings reveal key areas of strength and opportunities for improvement in Luna Park's operations. The study concludes with actionable recommendations for enhancing both customer and employee experiences, underscoring the importance of integrating insights from diverse feedback sources for effective organizational management.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030201
Vol. 3 Issue. 2 PP. 08-15, (2023)
In today's competitive entrepreneurial landscape, effective marketing communication strategies play a pivotal role in success. Entrepreneurs are increasingly adopting cutting-edge technologies like artificial intelligence (AI) and big data analytics to optimize their marketing efforts. This research explores the synergistic impact of AI and big data analytics on marketing communication strategies within entrepreneurial ecosystems, presenting a data-driven approach. The study assesses the current marketing communication landscape in entrepreneurial ventures, identifying challenges faced by entrepreneurs in connecting with their audiences. By reviewing the latest trends in AI and big data applications, we investigate their integration into marketing communication strategies. Through case studies and empirical data analysis, the research uncovers the successful adoption of AI and big data analytics in entrepreneurial marketing communication. These technologies enable personalized and targeted campaigns by identifying customer preferences and behaviors. Big data analytics helps refine marketing strategies by extracting valuable insights from vast datasets. The research also addresses challenges and ethical considerations related to data privacy and bias. Additionally, it explores the necessary infrastructure and human capital for effective implementation. The findings highlight AI and big data's critical role in driving innovation and growth in marketing communication within entrepreneurial ecosystems. Adopting a data-driven approach empowers entrepreneurs to enhance marketing effectiveness and gain a competitive edge. In conclusion, this research showcases AI and big data analytics as transformative tools for shaping marketing communication in entrepreneurial ventures. Leveraging these technologies strategically can unlock novel opportunities and ensure long-term business success in the dynamic marketplace.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030202
Vol. 3 Issue. 2 PP. 16-22, (2023)
In the rapidly evolving digital landscape, businesses are increasingly turning to digital marketing strategies to engage their target audiences effectively. The abundance of data generated through online interactions presents both opportunities and challenges in leveraging it for marketing purposes. This research investigates the potential of integrating big data processing in computer networks to optimize digital marketing strategies and enhance customer targeting. By exploring the current state of digital marketing practices and the role of computer networks in data processing, this study aims to uncover the benefits and limitations of incorporating big data analytics. Drawing from successful case studies, innovative approaches are proposed to integrate big data into marketing platforms, enabling improved customer segmentation and personalized content delivery. Additionally, the impact of big data utilization on customer experience and brand loyalty is examined. Ethical considerations and privacy concerns are also addressed to ensure responsible data usage. Adopting a mixed-methods approach, qualitative and quantitative data are collected, enabling a comprehensive evaluation of the effectiveness and return on investment of marketing campaigns. This research contributes to the existing knowledge by providing valuable insights for businesses to make informed decisions in enhancing their digital marketing strategies while adhering to ethical data practices, fostering customer trust, and gaining a competitive edge in the digital era.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030203
Vol. 3 Issue. 2 PP. 23-29, (2023)
This research investigates the integration of big data processing in computer networks for digital marketing entrepreneurship to optimize marketing strategies and drive business growth. By analyzing current digital marketing practices, we identify key challenges faced by entrepreneurs. Through examining successful case studies, we showcase the effectiveness of big data processing in marketing campaigns. A practical framework is developed to guide startups and small businesses in integrating big data processing into their marketing strategies, considering factors like customer behavior analysis, segmentation, and personalized marketing. Additionally, we explore scalability and cost-effectiveness concerns, particularly relevant for entrepreneurs with limited resources. Ethical implications of data collection, processing, and utilization are thoroughly examined, and strategies to address challenges and limitations are proposed. Through comparative analysis, we assess the performance of big data-driven marketing campaigns in comparison to traditional approaches, revealing improved outcomes and return on investment. This research provides entrepreneurs with valuable insights and recommendations, empowering them to make data-driven decisions and succeed in the dynamic world of digital marketing. Moreover, it contributes to the discourse on big data in entrepreneurship, promoting responsible and innovative practices in the digital marketing landscape.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030204
Vol. 3 Issue. 2 PP. 30-36, (2023)
The aim of the study was to demonstrate the impact of analysis using financial ratios in improving the quality of financial reports. To achieve the purpose of the study, a questionnaire was prepared consisting of (36) questions, including (28) questions to measure the independent variable (financial ratios) and (8) questions to measure the dependent variable (improving the quality of financial reports). The questionnaire was distributed electronically, and (47) questionnaires were obtained of the respondents' responses, all of them were subjected to analysis, and a linear regression test was used to test the hypotheses. The study reached several results, including There is a statistically significant effect of the analysis using financial ratios as a whole in improving the quality of financial reports. There was also a significant effect of analyzing using financial ratios separately (capital structure ratios, profitability ratios, liquidity ratios, turnover ratios, and market ratios) in improving the quality of financial reports. The study also found a set of recommendations, including the need for responsible authorities: to explain the importance of using financial analysis methods through financial ratios to evaluate the performance of enterprises and identify their strengths and weaknesses. And the need to conduct appropriate training and courses for workers in using financial analysis methods in general and analysis using ratios in particular because It has a role in improving the quality of financial reports.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030205
Vol. 3 Issue. 2 PP. 37-47, (2023)
