Business Links Research Articles

Fraud detection under the unbalanced class based on gradient boosting

Credit fraud modeling is an important topic covered by researchers. Overdue risk management is a critical business link in providing credit loan services. It directly impacts the rate of return and the bad debt percentage of lending organizations in this sector. Credit financial services have benefited the general public as a result of the development of the mobile Internet, and overdue risk control has evolved from the manual judgment that relied on rules in the past to a credit model built using a large amount of customer data to predict the likelihood of customers becoming delinquent. When creating a credit rating model, the emerging nature of the credit samples makes the minority class sample score very few; that is, when a large number of actual samples are obtained, this causes machine learning models to be biased towards the majority class when training. Traditional data balancing methods can reduce the bias of models to the majority category when the data is relatively unbalanced rather than excessive. Gradient boosting algorithms (XGBoost and CatBoost) are proposed in this paper to model highly unbalanced data to detect credit fraud. To find hyperparameters and determine the accuracy of the minority class as an optimization function of the model, Bayesian optimization is used to increase the model's accuracy for the minority class. The paper was tested with real European credit card fraud data. The results were compared to traditional machine learning (decision trees and logistic regression) and the performance of the bagging algorithm (random forest). For comparison, the traditional data balancing method (Oversample) is used

Assessing the Likelihood of High Pathogenicity Avian Influenza Incursion Into the Gamebird Sector in Great Britain via Designated Hatcheries.

The outbreaks of High Pathogenicity Avian Influenza (HPAI) in the United Kingdom in 2017 and 2021 had a substantial impact on the gamebird industry and highlighted to policymakers the importance of existing knowledge gaps for effective disease control. Despite the size of the industry, the impact of HPAI on the gamebird industry is not well-understood. To improve future disease preparedness, a veterinary risk assessment to explore the risk of HPAI incursion into the gamebird sector in Great Britain via a designated hatchery was commissioned by Scottish Government Animal Health and Welfare Division. Hatchery designation is a legal requirement for hatcheries located within disease control zones or that have business links to premises located in disease control zones to continue operating during an HPAI outbreak. Several risk pathways were identified, which involved various management procedures associated with egg production through to the delivery of day-old chicks. The overall likelihood of the HPAI virus introduction into a designated hatchery through hatching egg movement is considered to be low (high uncertainty). The overall likelihood of onward transmission of the HPAI virus into gamebird rearing sites from a designated hatchery through day-old chick movement is also considered to be low (medium uncertainty). These risk levels are based on the assumption that relevant control measures are observed, as enhanced biosecurity is one of the requirements for hatchery designation. However, high uncertainties and variabilities were identified in the level of compliance with these biosecurity measures. Factors increasing the likelihood level include management practices typical to this sector, such as having multiple egg production sites, raising birds at outdoor sites, catching birds from the wild for egg production, having various scale of satellite farms in various locations, importing eggs and day-old chicks from overseas, as well as the proximity of the game farm to the infected premise or to higher risk areas. This study offers evidence for policymakers to help develop criteria for hatchery designation and proposes important mitigation strategies for future disease outbreaks specific for the gamebird sector.

Construction of power IoT platform under digital transformation

Digital transformation is the only way for the development of modern enterprises. As an important carrier and means for the digital transformation of power enterprises, the Internet of Things (IoT) plays a vital role as a bridge between the physical power grid and the digital power grid. It is responsible for functions such as perception, communication, data syncretism, and resource share. As a pivotal link in the IoT, the IoT platform serves a vital juncture. Therefore, studying several key technologies of power IoT platforms for the construction and application in power business links and security, which is an important topic for promoting the digitalization of physical power grids and the digital transformation of the company.

A Blockchain-Based Privacy Protection Application for Logistics Big Data

Logistics business is generally managed by logistics orders in plain text, and there is a risk of disclosure of customer privacy information in every business link. In order to solve the problem of privacy protection in logistics big data system, a new kind of logistics user privacy data protection scheme is proposed. First of all, an access rights management mechanism is designed by combining block chain and anonymous authentication to realize the control and management of users' access rights to private data. Then, the privacy and confidentiality protection between different services is realized by dividing and storing the data of different services. Finally, the participants of the intra-chain private data are specified by embedding fields in the logistics information. The blockchain node receiving the transaction is used as the transit node to synchronize the intra-chain privacy data, so as to improve the intra-chain privacy protection within the business. Experimental results show that the proposed method can satisfy the privacy requirements and ensure considerable performance.

Volunteering opportunities in higher education

In this paper, I present the results of empirical research and practical pilot programmes carried out in the frame of an international project. The project was about the promotion of pro bono activities among university students, involving corporate experts and non-profit companies. The conclusions of the research and the pilot programmes implemented over two years, several of which were digitally implemented during the covid period, show that young people are open to volunteering and willing to participate in well-organised and prepared pro bono activities. For higher education institutions, integrating pro bono into the curricular portfolio is an excellent way to increase the practicality of education, strengthen business links and, last but not least, increase young people’s social awareness. The particular value of the pro bono activities carried out digitally during the covid period is how the volunteer programme was able to adapt to the challenges of the virus situation and how it was able to successfully implement pro bono programmes in the online space, involving corporate professionals, non-profit grantees, and academic experts. The conclusions could be useful for professionals in higher education as well as for non-profit organizations on how to make knowledge-sharing pro bono activities work to the benefit of all stakeholders on how to make knowledge-sharing pro bono activities work to the benefit of all stakeholders.

Characterizing financial markets from the event driven perspective

In this work we study how company co-occurrence in news events can be used to discover business links between them. We develop a methodology that is able to process raw textual data, embed it into a numerical form, and extract a meaningful network of connections. Each news event is considered as a node on the graph and we define the similarity between the two events as the cosine similarity between their vectors in the embedded space. Using this procedure, we contribute to the literature by successfully reconstructing business links between companies, which is usually a difficult task since the data on this topic is either outdated, incomplete or not widely available. We then demonstrate possible uses of this network in two forecasting applications. First, we show how the network can be used as an exogenous feature vector, which improves the prediction of the correlation between companies in the network. This correlation is determined from their realized variance as well as using a wide set of machine learning models for prediction. Second, we demonstrate the use of network for predicting future events with point processes. Our methodology can be applied on any series of events, where we have demonstrated and evaluated its applicability on news events and large market moves. For most of the tested algorithms the experimental results show an improvement in performance when including information from our graphs. More specifically, in certain sectors using Neural Networks shows improved performance by up to 50%.

Pendampingan Digital Marketing Sebagai Strategi Pemasaran Usaha Budidaya Lele

Since 2018, the Indonesian government through the Ministry of Maritime Affairs and Fisheries has encouraged people to increase fish consumption through the Fish Eating Community Movement (GEMARIKAN) program. One of the popular fisheries commodities and has high nutritional value is catfish. Unfortunately, the catfish farming business is not widely known and uses technology and good marketing strategies. For this reason, assistance is needed regarding digital marketing in the catfish cultivation business in Mulyoagung Village, Dau District, Malang Regency. The implementation of this activity is carried out in a combination of online and offline, creating Google My Business, as well as using digital marketing in the catfish cultivation business. The results of this activity are brands, Google My Business links, and several social media platforms that are used as marketing strategies whose development will continue to be monitored regularly

Evaluation of Low-Carbon Benefits of Smart Grid Based on Random Forest Algorithm

The eventual exhaustion of non-renewable fossil energy and the damage to the environment during its mining, processing, and consumption process have caused countries around the world to pay attention to how to improve energy efficiency, how to better develop clean energy, and how to optimize the energy structure. Electric energy is an indispensable secondary energy source of both industrial development and home life. How to convert clean energy into electric energy and improve the efficiency of electric energy used provides new ideas about solving energy shortages and environmental pressures. Smart grid is the application of advanced communication and information technology to all business links involved in the power grid. It is of great significance of the realization of information, automation and interaction of the power grid. It has become the development trend of the modern power grid. It can be seen that the construction of smart grids is an important way for countries around the world to alleviate the pressure on energy and environmental protection. This paper summarizes the current research status of smart grids at home and abroad, and combines the characteristics of smart grids with the problems existing on the research on low-carbon benefits of smart grids at home and abroad, and constructs a comprehensive evaluation index system suitable for low-carbon benefits evaluation of smart grids and low-carbon benefits of smart grids. Evaluate the model, use the analytic hierarchy process to preprocess the data, confirm the weight of each indicator system, and get the evaluation score; divide the processed data into a training set and a test set, and use the random forest algorithm to train the model; The evaluation model is used to evaluate the low-carbon benefits of smart grids. The evaluation results show that the model has high evaluation accuracy and certain practicability. Finally, based on the evaluation results and the status quo of smart grids in my country, corresponding suggestions are put forward to promote the further development of low-carbon smart grids.

How frugal innovation and inclusive business are linked to tackle low-income markets

ABSTRACT Frugal innovations purportedly address unmet consumer needs. Inclusive business includes consumers as employees and business owners in the value chain, especially to address challenges in base of the pyramid contexts. Recent literature has described increasing numbers of cases in which frugal innovations have been implemented based on inclusive business structures. This paper explores how frugal innovation affects the design of inclusive business by analyzing 11 frugal cases implemented in the African context. We derive an inclusive business link model for frugal innovations (IBLMFI) and propose that frugal innovations with modular features support a deep level of inclusive business integration.

The application of S-series ILS specifications data model in civil aircraft customer service system

Civil aircraft customer service is the full support of the main manufacturer from the perspective of customer needs, aircraft performance, and the interests of related parties during the product life cycle. Its data model can coordinate business and data between stakeholders, and provide a framework for business information representation and operation for customer data integration. In order to enable civil aircraft customer service to improve customer satisfaction and meet the development needs of the civil aircraft industry, it is necessary to establish a complete customer service system and form a common customer service business data model. Firstly, the S-series of integrated logistic support(ILS) specifications and ISO 10303-239 PLCS are interpreted to explore the ILS business interface relevance between international specifications. Then, the tools used to establish the customer service business model and data interaction of civil aircraft are sorted out, and how to use them is explained. Finally, the system is constructed from the three levels of civil aircraft customer service requirements, indicators and activities, combined with model tools to build a civil aircraft customer service business data model based on the S-series ILS specifications. This paper provides guidance for realizing the data circulation of various business links of customer service, and provides a basis and method for ensuring the safe operation of aircraft, reducing user operating costs and promoting customer service levels.

Syndicate at Bray: Hammer, Seven Arts, and The Big Fat Money Machine

This article investigates an alleged link between US organized crime and the UK’s Hammer Film Productions Ltd that is said to have operated via Meyer Lansky (the notorious Syndicate casino lynchpin) and Eliot Hyman, the latter being head of Seven Arts Productions Ltd, a US film production company. It does so by first examining the significant business link between Hammer and Seven Arts, which encompassed many Hammer film productions in the late 1950s and early 1960s. It then traces aspects of the business history of Seven Arts and its various corporate investments such as in The Grand Bahama Development Company, the latter being engineered primarily by Seven Arts board member Lou Chesler, whose nickname was ‘The Big Fat Money Machine’. It concludes that the link between Seven Arts and the organized crime Syndicate was certainly real for a specific period of time, but it was limited primarily to some of the business operations of Chesler, the removal of whom from the company was engineered by Hyman after the controversial link to Lansky became apparent in the early 1960s.

The case for developing a cohesive systems approach to research across unhealthy commodity industries

ObjectivesMost non-communicable diseases are preventable and largely driven by the consumption of harmful products, such as tobacco, alcohol, gambling and ultra-processed food and drink products, collectively termed unhealthy commodities. This...

Challenges of Credit Reference Based on Big Data Technology in China

Big data-based credit reference system gradually attracts wide attention due to its ad-vantages in remedying the shortages of traditional credit reference and dealing with new challenges arising from financial credit management. Nevertheless, this new method is also adapted through different studies and experiments to be problematic with island of credit information and information security. Some researchers begin exploring the possibility of applying blockchain technology to the individual credit reference field. The business links in the individual credit reference can be innovated through the blockchain mechanism so that credit data from different industries get collected through peering points, secure communication and anonymous protection on the basis of such techniques as distributed storage, point-to-point transmission, consensus mechanism and encryption algorithm. In this way, it is feasible to solve island of information and enhance the protection of user information security. A promising future can be expected about the big data-based credit reference, but there are also many problems with blockchain-based credit reference in China.

Demand-supply matching through auctioning for the circular economy

The circular economy aims to reduce the consumption of resources and energy by exploiting multiple use-cycles of components and materials. The creation of new circular businesses hinges on efficient alignment between market demands of circular products with the supply of End-of-life components and materials. In this paper, we address the digitization of a matchmaking tool for the circular economy by defining demand-supply matching (DSM) in context of business link identification and cross-sectorial matchmaking. We further specify a DSM process and p resent our DSM tool, which facilitates publication and search for supplier offerings and demander needs, selection of auctioning candidates, and digitized auctioning and contract definition. By that, this tool supports the alignment of market demands with matching supply offerings. In particular, it combines the steps of publishing, searching, selecting, auctioning and contract definition into one tool, which we argue can make matchmaking more efficient compared to addressing these steps separately. Finally, we present the design of the tool and discuss its merits in light of the needed acceptance for automating business link identification and contractual interactions.

On the Emergence of Russian-South African Business Links. Allan Bowe, Faberge’s Business Partner

Allan Bowe, a Cape-born entrepreneur in the Russian Empire, has not been mentioned in literature on the history of Russian-South African contacts. However, his long business partnership with Carl Fabergé should be considered in this context, primarily because it took place when Russia and the territories that are now part of South Africa, apparently, had no trade relations yet. Henry Allan Talbot Bowe, known in Russia as “Allan Andreyevich Bo”, can be rightfully regarded as a South African. He spent his childhood and youth in the Cape Colony, mostly in Namaqualand, a region dominated by native speakers of languages that had originated in Africa. Contrary to the established notion that “the exquisite artistic taste and amazing energy of Carl Fabergé” were the main reason for the international success of this business, it owed much to the work of his companion, A. Bowe. The latter contributed to the development of the largest jewellery company in the Russian Empire and its international reputation in the 1880s–1890s. As a founder and co-owner of the Fabergé Moscow branch, he organised and managed the largest jewellery factory in the country. Bowe also expanded the company’s presence abroad by establishing the London branch (as a joint owner with Fabergé) and building up clientele securing orders for bespoke jewellery pieces in Europe, Southeast Asia and North America. The first arrival of Bowe in Russia was almost accidental, but he became deeply involved in the business life of Moscow – so much so that he returned to that city after he had dissolved his partnership with Fabergé. Being possibly the first successful South African-born entrepreneur in Russia, he deserves a prominent place in the history of relations between our countries. It implies that the emergence of Russian-South African business links can be traced to the 1880s, when Bowe started his business in Moscow.

Empowering the Youths through the Skilled Youth Program III as Citi Indonesia's Corporate Social Responsibility Activity

Decent Work and Economic Growth represent one of the goals of Sustainable Development Goals. The Government of Indonesia through the National Secretariat for Sustainable Development Goals has continued to launch national actions by building multi-stakeholder partnerships to encourage the achievement of these goals. Citi Indonesia, together with Indonesia Business Links, initiated a youth development and empowerment program in the area of Bekasi City, Bekasi Regency, Karawang Regency, Purwakarta Regency, and Bandung Regency. The collaboration was a Citi Indonesia Corporate Social Responsibility activity focusing on capacity building, opening job opportunities, encouraging entrepreneurship, and creating a conducive environment. Increased competence in human resources is needed especially in the current 4.0 industrial revolution era. The shift of human labour into machines with automation and the digital economy requires workers who have the intermediate ability. This happens because much low-skilled human labour has been replaced by machines. The program aimed to prepare young people to be ready to work and ready for entrepreneurship. This program was designed as a series of activities with implementation methods in the form of focus group discussions, outreach, in-class training, seminars, counselling, and field practice. The results showed an increase in the knowledge and skills of the training participants so that it is hoped they will have a greater opportunity to be employed or to become entrepreneurs.

On the Mediation Price War of 5G Providers

Virtualization guarantees that, moving toward 5G, online services will be versatile and the creation of those will be quick, satisfying the interest of end-clients to a higher degree than what is plausible today. Telcos, cloud administrators, and online application suppliers will unite for conveying those services to clients around the world. Thus, in order to help their portability, or the simple geographic range of the offered application, the business arrangements among the actors must scale over numerous domains and a guaranteed nature of joint effort among different stakeholders is important. Therefore, the vision of the 5G environment is majorly established on the federation of these partners in which they can consistently strive towards the objective of making reliable resource slices and deploying applications within for a maximal geographic reach of clients. In this environment, business perspectives will significantly impact the technical capacity of the system: the business arrangements of the providers will innately decide the accessibility and the end-client costs of certain services. In this work, we model the business relations of infrastructure providers as a variation of network formation games. We infer conditions under which the current transit-peering structure of network providers stays unblemished, and we also draw the specifics of an envisioned setup in which providers create business links among each other starting with a clean slate.

Research on Supply Chain Collaborative Manufacturing Mode

In this paper, through the study of supply chain collaborative manufacturing business process and resource interaction mode, around the core production enterprises, from collaborative planning, collaborative procurement, collaborative production, collaborative logistics and collaborative service five supply chain business links. With the support of supply chain collaborative manufacturing platform, the overall competitiveness of supply chain collaborative manufacturing is improved, and the real-time interaction and information sharing of material flow, information flow and capital flow among suppliers, manufacturers and customers are realized.

How Does Board Structure Affect Customer Concentration?

This paper studies the interactions between corporate boards and major customers. Using the Sarbanes-Oxley Act of 2002 (SOX) and consequent governance reforms as a quasi-natural experiment, we find that SOX-affected firms diversify their customer bases by removing directors with business links to them. A one standard deviation decrease in the proportion of linked directors is associated with an 11.80% proportional decrease in the percentage of sales to all the major customers. SOX-affected firms enjoy lower overall and idiosyncratic risk post-SOX, possibly due to reduced hold-up risk. Our work provides novel evidence on how corporate boards affect firms' risk-taking behavior.

Comparing small business owner and voter beliefs regarding constraints on business growth

PurposeThis research note compares voter opinions regarding small business entrepreneurial activity to opinions of small business owners and links any divergence in perceptions to realized suboptimal entrepreneurial growth policy.Design/methodology/approachPrimary data collection via best–worst scaling and estimation of linear regression models.FindingsResults suggest that small business owners are less concerned about issues such as foreign competition, estate/death taxes, oil prices and labor union demands but are more concerned with domestic competition, income taxes, regulatory burdens and availability of credit from lenders.Social implicationsThe authors find major discrepancies in opinions about trade policy and business financing, which may lead to policy design that hinders entrepreneurship given evidence that politicians do respond to voters' opinions (Autor et al., 2016).Originality/valueIt represents the first empirical assessment of differences between voter and small business owner perspectives on entrepreneurial policy. An immediate policy implication includes the need to provide additional avenues of communication of entrepreneurs' concerns.