2692-2967ISSN (Online)
2770-0216ISSN (Print)
Blockchain technology has received more and more attention from all walks of life and has also been sought after by the market and financial institutions. More and more financial institutions and Internet companies have begun to participate in the research of blockchain technology. The application scenarios are also constantly expanding, and the landing in the financial field is the focus of all social concerns. This article takes Agricultural Bank as an example, analyzes its current advantages and disadvantages in using blockchain technology, and proposes policy recommendations based on this to provide a reference for joint-stock commercial banks to better use blockchain technology to improve business performance. Based on the theoretical analysis, this article studies the use of blockchain technology by joint-stock commercial banks, and selects Agricultural Bank, which has a well-developed financial technology in joint-stock commercial banks, as a case study. From the operating background of the agricultural bank and the cross-border payment and settlement business, the background begins with the agricultural bank's own business practices in blockchain technology and the traditional cross-border business and the innovative development of agricultural bank's blockchain technology, and then the application of event analysis to the application effects of agricultural bank's blockchain technology analysis. This paper analyzes the SWOT-PEST of the agricultural bank's use of blockchain technology, combined with the theoretical analysis of blockchain technology in this article, comprehensively analyzes the agricultural bank's use of blockchain technology in four aspects: policy, economy, society, and technology. Strengths, weaknesses, opportunities, and challenges. Through analysis, we can have a comprehensive view on the application of blockchain technology by Agricultural Bank, and based on this, we can summarize the problems that Agricultural Bank may have in applying blockchain technology. Through the analysis of the blockchain, we can see that the growth rate of agricultural bank's net profit was higher in 2013 and 2014. Finally, the article puts forward suggestions for the development of agricultural bank under the blockchain technology.
Read MoreDoi: https://doi.org/10.54216/AJBOR.030201
Vol. 3 Issue. 2 PP. 61-76, (2021)
The purpose of the present research was to introduce a blockchain-based voting system so that any state, including totalitarian states, can show interest in using it. In this method, a hybrid voting system with two centralized and distributed systems was used. Its centralized system is one of the most common voter identification and polling models, and its distributed system, which is designed with Ethereum public blockchain, is voting for voters. Totalitarian states are not interested in announcing the results online. Also, the lack of trust in E-voting systems by both states and voters has led to E-voting in important political elections in most states as support for manual or paper voting. Based on the results of field research with this voting system, it was possible to create a 7 min break between the end of the voting process and the announcement of the results for political considerations. This break can be increased by agreement. The results of the votes cannot be manipulated in any way. Survey results should also be communicated to voters before the voting process. This voting system can improve the level of democracy and maximum participation. It is hoped that the spread of distributed technologies, especially the blockchain, will pave the way for the spread of justice and democracy around the world.
Read MoreDoi: https://doi.org/10.54216/AJBOR.030202
Vol. 3 Issue. 2 PP. 77-93, (2021)
This research investigates factors that may affect the level of acceptance of mobile marketing and determines if there is a relationship between these factors and the level of acceptance of mobile marketing. It separately investigates the most influential factors affecting the level of acceptance. This research was to investigate as well if there were differences in the readiness of undergraduate students regarding acceptance and factors leading to acceptance in terms of gender, age, education, and place. The research depends upon a sample of undergraduate students studying in universities. The researcher employed statistical techniques such as descriptive, correlation analysis, linear multiple regression, one-way Anova, and the post hoc test. The main findings from this research are that factors affecting acceptance were related to the level of acceptance of mobile marketing in the research field of reality. There is a significant difference between undergraduate students regarding factors affecting acceptance of mobile marketing; also there is a significant difference between undergraduate students regarding their readiness of acceptance in terms of some demographic characteristics.
Read MoreDoi: https://doi.org/10.54216/AJBOR.030203
Vol. 3 Issue. 2 PP. 94-106, (2021)
This paper presents a case study on the implementation of business intelligence (BI) in a retail company with the main aim to analyze the benefits of BI implementation and the confronts encountered during the process. The case study involves a large retail company that operates in multiple countries and offers a wide range of products. The implementation of BI was driven by the need to improve decision-making processes, increase operational efficiency, and enhance customer satisfaction. We also cover the different phases of BI implementation, including planning, data integration, data modeling, and dashboard development. The results of the study indicate that the implementation of BI has led to significant improvements in the company's performance, such as increased revenue, improved inventory management, and better customer segmentation. We investigate how artificial intelligence can provide great support for improving and automating the implementation of BI in retail companies. However, we also highlight some challenges encountered during the implementation process, such as data quality issues and resistance to change. The paper concludes by emphasizing the importance of careful planning, stakeholder engagement, and ongoing evaluation in ensuring the success of BI implementation in retail companies.
Read MoreDoi: https://doi.org/10.54216/AJBOR.030204
Vol. 3 Issue. 2 PP. 107-115, (2021)
The advent of Industry 4.0 has propelled a transformative shift in business paradigms, prompting the strategic integration of business intelligence (BI) for sustainable portfolio management. This study addresses the need to discern optimal strategies in clustering investor portfolios within this dynamic landscape. Leveraging the Gap Statistic Algorithm and Silhouette Coefficient, a systematic methodology was employed to cluster investors based on diverse portfolio attributes, including asset allocation, risk profiles, and historical performance metrics. A feature correlation map elucidated attribute interdependencies, while summary statistics provided a comprehensive snapshot of the investor dataset. Results from the Gap Statistic Algorithm revealed an optimal cluster count, guiding the segmentation of investors into distinct clusters. Subsequent validation using the Silhouette Coefficient affirmed the coherence and quality of the clusters derived. The findings underscore the efficacy of BI-driven approaches in effectively clustering investors based on portfolio characteristics within Industry 4.0, facilitating nuanced insights into investor behaviors and preferences. Conclusively, this research illuminates pathways for informed decision-making in sustainable portfolio management, emphasizing the pivotal role of BI tools in optimizing investor segmentation strategies for contemporary industrial landscapes.
Read MoreDoi: https://doi.org/10.54216/AJBOR.030205
Vol. 3 Issue. 2 PP. 124, (2021)