Transaction Characteristics Research Articles

Proposed Customer Knowledge Management (CKM) in the Truku Logistics Application Feature PT Biru Samudera Selatan

Logistics processes that only make one trip in the transportation of goods result in inefficient logistics costs. Truku is an integrated digital logistics solution that provides added value to the company. the current condition of the truck application is still unable to optimally support services to users, especially the automatic payment transaction feature. The method used in this study is a conceptual model of Customer Knowledge Management (CKM) based on the Customer Relationship Management (CRM) phase and the Knowledge Management (KM) process. The results of the comparison of the features that have been formulated with the features available in the Truku application then become a reference for determining the proposed features that are recommended to PT Biru Samudera Selatan to be implemented in the Truku logistics application. So that later it can facilitate the development of application features based on the needs of the users of the Truku logistics application.

Supplier transaction, TMT characteristics, and the persistence of earnings: do their relationship contribute towards sustainable performance of Chinese listed manufacturing sector firms?

The construction of supplier transaction is one of the strategic choices of many firms. However, the impact of business strategies on the persistence of earnings remains to be further investigated. The innovation of this paper lies in interpreting the impact of supplier transaction on earnings persistence from the perspective of characteristics of the top management team (TMT). We consider Chinese listed manufacturing firms from 2012 to 2019 to examine the relationship between the supplier transaction and the persistence of earnings. Statistical results show that supplier transaction characteristics of the TMT have a significant moderating effect on the relationship between the supplier transaction and the persistence of earnings. This implies that the behavior of TMT can be vital to the firm in maintaining sustainable performance. The higher age level or longer average tenure of TMT can significantly improve the positive effect of the supplier transaction tenure heterogeneity of TMT that will significantly improve the negative effect. This paper expands the literature on supplier relationship, and corporate earnings from a new perspective that improves the empirical evidence of the upper echelons theory, and also provides evidence support for the construction of supplier relationship and TMT.

Understanding the Relationship between Asset Specificity and Governance Choices in Construction Projects: Moderating Role of Uncertainty

In previous research, it has been debated whether uncertainty moderates the relationship between asset specificity and governance mechanisms. The relationship between the owner and contractor is a typical interorganizational collaborative relationship, with contractual and relational governance as key mechanisms. Based on transaction cost theory and relational exchange theory, this paper establishes a competitive conceptual model of construction project transaction characteristics on contractual and relational governance to test the moderating role of uncertainty in interorganizational relationships. The questionnaire data were analyzed with partial least-squares structural equation modeling (PLS-SEM) to verify the theoretical hypotheses. This paper finds that there is a significant positive correlation between asset specificity and both contractual governance and relationship governance, with uncertainty as a moderator significantly enhancing the correlation between asset specificity and relational governance. The conclusions of this paper support the predictions of relational exchange theory and transaction cost theory. The findings enhance the understanding of project governance mechanisms and interorganizational collaborative relationships. Faced with high uncertainty, the owner and contractor are advised to adopt relational norms such as trust rather than designing more formal contractual terms to resolve conflicts caused by asset specificity.

Application of Big Data Mining Technology in Blockchain Computing

Big data in the modern science and technology and social activities play an important role, on the one hand, a large number of new applications and technology into our lives, in the use of these new technologies to produce a large amount of data, on the other hand, big data as one of the most important digital assets, many of the development of new technologies also rely on large data as support. This paper focuses on the research and application of big data mining technology in blockchain computing. Firstly, this paper extracts the corresponding transaction data according to the Bitcoin address and constructs the transaction features to get the Bitcoin data set. Then, the data features are processed. Then, three algorithm models, SVM, Adaboost and Random Forest, are selected to model and analyze the preprocessed data combined with different sampling strategies. According to the comprehensive performance of the model and its shortcomings, the model is selected and improved.

Advancing the marketing‐operations interface in omnichannel retail

Advancing the marketing‐operations interface in omnichannel retail

Illegal activity detection on bitcoin transaction using deep learning

Forensic investigations increasingly leverage artificial intelligence (AI/ML) to identify illegal activities on bitcoin. bitcoin transactions have an original graph (network) structure, which is sophisticated and yet informative. However, machine learning applications on bitcoin have given limited attention to developing end-to-end deep learning frameworks that are modeled to exploit the bitcoin graph structure. To identify illegal transactions on bitcoin, the current paper extracts nineteen features from the bitcoin network and proposes a deep learning-based graph neural network model using spectral graph convolutions and transaction features. The proposed model is compared with two state-of-the-art techniques, viz., a graph attention network (GAT2) and an extreme gradient boosted decision tree (XGBOOST) trained on convoluted features for classification of illegal transactions on bitcoin. To understand the efficacy of the proposed model, a dataset is collected consisting of 13310125 transactions of 2059 entities having 3152202 bitcoin account addresses and belonging to 28 categories of users. Two sets of experiments are performed on the datasets: labeling transactions as legal or illegal (binary classification) and identifying the originator of the transaction to one of the twenty-eight types of entities (multi-class classification). For fast and accurate decisions, binary classification is appropriate, and for pinpointing the category of bitcoin users, a multi-class classifier is suitable. On both the tasks, the proposed models achieved a maximum of 92% accuracy, validating the methodology and suitability of the model for real-world deployment.

Strategi Meningkatkan Kualitas Pelayanan Melalui BSI Mobile pada Bank Syariah Indonesia

Providing quality services is one of the bank's efforts to improve services. Customer satisfaction is achieved when the bank provides high-quality services in accordance with what customers expect. The purpose of this study is to find out BSI Mobile services in an effort to improve service quality in the BSI Surabaya City area. The method used in writing this thesis is a qualitative descriptive method by collecting data through the author's observation. The results of this study show that BSI Mobile is a super application owned by BSI because it not only has transaction features but also provides sharia features that can make it easier for customers to transact. With BSI Mobile, customers can transact independently through BSI Mobile without having to come to a bank branch or ATM. In addition, the existence of BSI Mobile reduces customer queues in the banking hall, increases the number of transactions through BSI e-channels and makes the quality of service effective and efficient.
 Keywords: BSI Mobile, Digital Services, Banking

ACTIVITIES OF THE NOTARY AS A FORM OF PROTECTION OF THE FAMILY RIGHTS OF CITIZENS

The article discusses the features of certification by notaries of certain types of transactions concluded in the field of family relations. The author presents the specific features of such transactions, which determine the specifics of the procedure for their certification by notaries. The article concludes that there is a need for legislative changes aimed at improving the norms of the legislation of the Russian Federation, which will ensure effective protection of the rights and interests of participants in transactions subject to notarization.

СВІТОВИЙ ДОСВІД ФІНАНСОВОГО МОНІТОРИНГУ ОПЕРАЦІЙ З КРИПТОВАЛЮТОЮ (НА ПРИКЛАДІ ЯПОНІЇ, США ТА ЄС)

The article outlines the distinctive features of monitoring cryptocurrency transactions in Japan, the USA, and the EU countries. Its purpose is to analyse the worldwide practices of financial monitoring concerning cryptocurrency transactions. Techniques of theoretical generalisation, systematisation, comparative analysis and graphic methods were used in the research. The informational basis of the research was the works of domestic scientists devoted to the indicated problems, reports of international organisations. It is determined that under the influence of the accelerated development of cryptocurrency circulation, the financial monitoring systems of the leading countries of the world are changing in accordance with the recommendations of international standards. Such changes have already taken place in Japan, the USA and the EU. This allowed Japan to gain additional opportunities to track virtual currency transfers, which is a confirmation of the high requirements for financial monitoring in this country. As for the United States, the regulation of cryptocurrency transactions is complex, as cryptocurrencies may fall under the jurisdiction of different regulatory authorities depending on their nature. The adoption of the EU's MiCA makes Europe a well-regulated place for cryptocurrency trading, thereby helping to reduce the risks of its use for money laundering and terrorist financing. It is determined that cryptocurrency has a different legal status (as a means of payment, as a financial asset, as a digital asset, and so forth). In order to eliminate the possibility of its use in illegal activities, it is necessary to comply with international recommendations on combating money laundering and terrorist financing when building and improving national financial monitoring systems. Therefore, at the level of each country, the issues of proper legal regulation of cryptocurrencies, clear regulation of the activities of virtual currency intermediaries, and the procedure for controlling the risks of money laundering and terrorist financing using cryptocurrencies should be determined.

МИНИМИЗАЦИЯ РИСКОВ ОФСЕТНОГО ИНВЕСТИРОВАНИЯ

This article reveals the features of the offset transaction as a promising investment mechanism for the development of industrial production in Russia. A comparative description of the offset contract with widely used special investment contracts, agreements on the protection and promotion of investments, concession agreements, agreements on public-private/municipal-private partnership, life cycle contracts is considered. During the analysis of the offset contract model, the main four stages of procurement were identified: procurement planning; determining the supplier conclusion of the contract; performance of the contract. The risks of offsetting organizations during the offset transaction structuring, as well as the risks of inaccuracy and incompleteness of information about the project are described. Measures have been proposed to minimize risks when drawing up and fulfilling an offset agreement.

디지털 무역의 국제적 쟁점과 향후 과제

Purpose – The aim of this research is to analyze the international issues of digital trade and present future tasks. Design/methodology/approach – This research is used in analyzing the literature review and the domestic and foreign legislation for legal research related to digital trade. Findings – With the 4th Industrial Revolution, the global industrial structure and business paradigm are facing a new period of transformation different from the previous. However, laws and systems do not meet the rate of change in the overall structure of the industry, which shows the same pattern not only in Korea but also in the international community. Companies that supply digital goods, such as electronic transmissions using these gaps, are trying to avoid taxes, and international organizations have come to discuss new measures such as introducing digital taxes to prevent such tax avoidance. Therefore, this research confirmed the current status of digital trade and international issues, and presented opinions on Korea's preemptive tasks and countermeasures. Research implications – First, the E-commerce tariff moratorium perpetuation on electronic transmission should be reviewed. Second, a solution to the problem of personal information protection arising from data transactions between countries should be prepared. Third, measures should be prepared to protect intellectual property rights caused by the characteristics of digital transactions. Fourth, terms used in digital trade-related laws and regulations should be unified for consistent digital trade agreements and efficient policies. Fifth, a dedicated digital trade organization should be established to collect statistical data on digital trade and exchange opinions between government and companies.

Digitalization and legal regulation of public and private transactions in the digital environment: Concepts and development prospects

Digitalization of social life, which has recently gained significant momentum, leads to an acceleration of the pace of development of all related areas that meet the needs of such a society. Information technology and private and public transactions were touched upon in the article. At the same time, currently, neither Ukraine nor any other state can claim a perfect normatively established settlement of issues of public and private transactions in the digital environment, which can include the prospect of introducing future innovations, since the daily rapid development of information technologies makes any the existing legislation is partially outdated and irrelevant. In turn, the analysis of the essence and features of electronic transactions, and the comparison of the regulation of their use in different countries will allow to development of a basis for a quick response to digitalization changes taking place, in particular, in the field of financial services. The method of analysis and synthesis, the method of theoretical generalization, and systematization serve as the methodological foundation of this study. The result of this study is the identification of problematic issues of regulation of public and private transactions in the digital environment in the conditions of digitalization, as well as the determination of the vector for future research on this topic and the introduction of changes to the regulatory and legal framework of Ukraine. A conclusion was made about the need to take digitalization into account in order to build an effective competitive digital economy with the appropriate tools to protect the rights of subjects of economic legal relations.

SEGMENTASI PELANGGAN MENGGUNAKAN METODE K-MEANS CLUSTERING BERDASARKAN MODEL RFM (RECENCY, FREQUENCY, MONETARY)

Companies or entrepreneurs must better understanding customers data in all aspects, including detecting similarities and differences among customers, predicting their behavior, and offering better options and opportunities to customers. Customer segmentation is carried out to obtain this information, which is part of CRM (Customer Relationship Management). One of the general models in the application of customer segmentation is the RFM (Recency, Frequency, and Monetary) model. This research method uses a combination of the RFM model and clustering. RFM is used as a description of customer behavior in conducting transactions. Clustering is a process that is widely used and is designed to categorize data. Clustering uses the K-Means Algorithm to determine the number of clusters using the Elbow and Silhouette methods. The application of RFM analysis and the K-Means resulted in two customer segments, namely potential customers and non-potential customers. Potential customers have the characteristics of frequent transactions and also large expenses. Non-potential customers have the characteristics of infrequent transactions and also standard expensesKeywords: Customer Segmentation, RFM Model, K-Means Clustering

Analysis and Design of Information Systems for Make-Up Using the Waterfall Methodology

Make-Up that women need to maintain their appearance and self-confidence to look more attractive for themselves and when dealing with other people. The information system is an important resource that needs to be managed by a Make-Up service provider because it has a high level of accuracy in data processing. The design of this system aims to display information on available Make-Up and Make-Up service providers including prices and locations. This system uses the PHP and MySQL programming languages. The Make-Up and Make-Up service provider system is designed using the Waterfall methodology, which starts from the planning process, needs analysis, design, and implementation in the form of coding, testing/verification and maintenance. The results of this study are a Make-Up service website that is available to make it easier for customers to choose the makeup they want, in this website, Make-Up owners can visit their services on the website and are also supported by transaction features that make it easier for customers to can place an order.

Searching for ‘Deeper Magic’; A Comparative Exercise in Children’s Homes Using a System Analysis

Those responsible for placing highly vulnerable children in regulated Children’s Homes need to ensure the Home can meet the child’s needs. Assessing suitability to meet a child’s needs is often benchmarked against findings and judgements awarded by Ofsted and which are established on regulatory requirements and quality standards. For those Homes that may struggle to raise standards, this paper explores the use of an additional management instrument that can identify and target areas for change and improvement; through the use of a diagnostic model that identifies key factors in organisational change. By reviewing and comparing six Homes in England – three judged as ‘requiring improvement’ and three judged ‘outstanding’ by Ofsted, the review found that both qualitative transformational and transactional features can be critical in the successful performance in a Home. Features such as the consistency and ambitions of the leadership, the pace of staff changes, culture and attitudes being carried through by staff and children are all critical factors. Being alert to different ways of viewing quality and performance may allow placing authorities and Social Workers another tool to discuss effectiveness when making decisions about placing a child.

Explanation of the Phenomenon “Different Prices on the Same Land” in the Farmland Transfer Market—Evidence from China’s Farmland Transfer Market

The purpose of this study was to investigate the differences in farmland rent prices between land transferors and different transferees when considering the quality supervision cost of the transferred farmland. Moreover, the impact of the intervention of township governments, village committees, and other intermediary organizations on the rent price differences is also taken into consideration. The treatment effect model (TEM) and grouping regression model were used. The results showed that: (1) Owing to the different transaction costs, when leasing to village transferees, the land rent was significantly lower than when leasing to non-village transferees. (2) With the intervention of intermediary organizations, such as township governments and village committees, the constraints of the reputation mechanism between acquaintances were weakened, and the cost of information identification when land transferors searched for out-of-town transferees was reduced. As a result, the differences in land rent when transferring to the village and non-village transferees were narrowed. This study presents a different view to explain the transaction characteristics of the rural land transfer market in China. Further, it is of paramount importance to implement an effective public intervention, including strengthening the intermediary role of township governments and village committees, which is conducive to improving the rural land transfer market of most developing countries, including China.

The digital economy and the growth dynamics of sharing platforms: A transaction cost economics assessment

Despite their growing significance in the digital economy, some sharing platforms struggle to achieve sufficient scale, while others fail entirely. By extending the focus beyond network effects and trust-building mechanisms, this paper seeks to identify factors that impact platform growth and to analyze their implications for governance mechanisms and the strategic management of sharing platforms. We center our analysis on transaction costs economics (TCE) and its three key related variables: transaction frequency, transaction uncertainty, and transaction-dedicated investments. Our aim is to examine how these variables determine transaction costs at the platform level and how these costs shape member participation and hence platform growth. To explore our hypotheses, we surveyed a community of members of a digital, peer-to-peer (P2P) sharing platform. Our empirical findings confirm that a platform's growth is significantly affected by transaction features and that, alongside other theoretical approaches, TCE represents an appropriate and complementary lens with which to explore the growth dynamics of sharing platforms, as well as to consider appropriate actions platform owners can take at the organizational, governance, and strategic design levels.

Financialization and Sustainable Credit: Lessons from Non-Intermediated Transactions?

Does increasing access to finance promote human flourishing? And if so, are there pathways to sustainable credit and finance in the face of the perceived excesses of financialization? Can we reform or regulate the financial sector to promote sustainable credit and avoid over-indebtedness? These and similar questions have attracted considerable scholarly and public debate in the aftermath of the 2007 global financial crisis, with a growing focus on institutional alternatives to market exchange in finance and beyond. In this article, we study the persistence of non-intermediated credit, whereby lenders and borrowers engage in transactions directly and without financial intermediaries. Peer lending was a mainstay source of credit prior to the emergence of financial intermediaries and our benchmark case study outlines common features of credit relationships before modern banking in Europe. The other two case studies come from jurisdictions where non-intermediated credit persists on a broad scale, despite parties having formal access to modern finance. The aim of our contribution is threefold. First, we identify features of non-intermediated transactions that are consistent with a notion of sustainable credit, in the sense that they are not destabilising for the transacting parties (or the broader community). Secondly, we highlight the normative mechanisms that support non-intermediated credit across different settings to identify the scope conditions and limits for such transactions. Third, we evaluate such credit transactions along a set of normative benchmarks to draw out lessons for contemporary finance and financial regulation. We argue that even if non-intermediated credit cannot provide an alternative to modern finance, such transactions can help financial institutions tailor products to the needs of specific consumers or outsource credit assessment and repayment, while also allowing policymakers and regulators to identify and resolve concrete credit access problems for disadvantaged communities.

Bitcoin P2P Network Measurements: A Testbed Study of the Effect of Peer Selection on Transaction Propagation and Confirmation Times

Bitcoin is the first and the most extensive decentralized electronic cryptocurrency system that uses blockchain technology. It uses a peer-to-peer (P2P) network to operate without a central authority and propagate system information such as transactions or blockchain updates. The communication between participating nodes is highly relying on the underlying network infrastructure to facilitate a platform. Understanding the impact of peer formation strategies, peer list, and delay is vital in understanding node to node communication and the system performance. Therefore, we performed an extensive study on the transaction characteristics of Bitcoin through a testbed. The analysis shows that peer selection strategies affect the transaction propagation and confirmation times. In particular, better performance, in terms of smaller transaction confirmation time and lower number of temporary forks, may be achieved by adjusting the default nearby-based peer selection strategy.

Identification of Fraudulent Online Transactions and Protection: State-of-art Techniques

In this digital era, the trend of online transactions for E-commerce sites and banking services is increasing. By using different online transaction methods users can make payments directly from their bank accounts. But along with the increase of online transactions, there is an increase in fraudulent transactions. These fraudulent transitions have identical features and characteristics of online transactions, so there is a need for the development of frameworks or technologies to detect fraudulent transactions. In this context, this paper represents a survey of the latest frameworks and techniques proposed by the researchers for the identification of fraudulent transactions and securing online transactions.