Enterprise Model Research Articles

Financial warning for coal mining investments: Evidence from the fruit fly optimisation algorithm with backpropagation neural networks

Venture capital firms may be unable to withstand the high investments and risks associated with coal mining exploration due to limitations in the funding scale. Risk control capability is also a challenge for venture capital companies. Finding a balance between high-risk and high-return coal mining exploration projects is a problem that venture capital companies must face. We propose a financial risk-warning model for coal mining investment enterprises based on the fruit fly optimisation algorithm (FOA) with the backpropagation neural network (BPNN). The fusion of standardised and dimensionless sample data through factor analysis reduces the input dimension of the BPNN and improves its stability. The financial warning algorithm of the model has been effectively validated through experiments. The research results indicate that its accuracy has reached a high level of financial warning, reaching a level of 95%.

Decentralized and robust privacy-preserving model using blockchain-enabled Federated Deep Learning in intelligent enterprises

In Federated Deep Learning (FDL), multiple local enterprises are allowed to train a model jointly. Then, they submit their local updates to the central server, and the server aggregates the updates to create a global model. However, trained models usually perform worse than centralized models, especially when the training data distribution is non-independent and identically distributed (non-IID). Because non-IID data harms the accuracy and performance of the model. Second, due to the centrality of federated learning (FL) and the untrustworthiness of enterprises, traditional FL solutions are vulnerable to security and privacy attacks. Therefore, to tackle this issue, we propose FEDANIL, a secure blockchain-enabled Federated Deep LeArning Model that improves enterprise models’ decentralized, performance, and tamper-proof properties, including two main phases. The first phase is proposed to address the non-IID challenge (label and feature distribution skew). In this phase, local models with similar data distributions are grouped into homogeneous clusters using the cosine similarity (CS) and affinity propagation (AP) techniques. Then, for each homogeneous cluster, Wasserstein Generative Adversarial Networks (WGAN) are used to deal with label and feature distribution skew. The second phase was adopted to address security and privacy concerns against poisoning and inference attacks via three steps. In the first step, data poisoning attacks are prevented by using CS. Then, in the second step, collude attacks were prevented by randomly selecting enterprises in the consortium blockchain. Finally, in the third step, model poisoning, membership inference, and reconstruction attacks have been prevented using the CKKS Fully Homomorphic Encryption (CKKS-FHE) technique and consortium blockchain. Extensive experiments were conducted using the Sent140, Fashion-MNIST, FEMNIST, and CIFAR-10 new real-world datasets to evaluate FedAnil’s robustness and performance. The simulation results demonstrate that FEDANIL satisfies FDL privacy-preserving requirements. In terms of convergence analysis, the model parameter obtained with the FEDANIL converges to the optimum of the model parameter. In addition, it performs better in terms of accuracy (more than 11, 15, and 24%) and computation overhead (less than 8, 10, and 15%) compared with baseline approaches, namely SHIELDFL, RVPFL, and RFA, respectively. The FEDANIL source code can be found on GitHub.11Code available on GitHub Repository: https://github.com/rezafotohi/FedAnil. For any questions about the code, please contact Fotohi.reza@gmail.com.

Tác động của Thông tư 200 đến mô hình xếp hạng tín dụng sử dụng phương pháp trí tuệ nhân tạo

The study investigates the impact of Circular 200 on the credit rating model for small, medium, and large enterprises in Vietnam during the period 2008-2018, using Artificial Neural Network (ANN) methodology. The research compares credit rating models before and after the implementation of Circular 200 between 2008-2014 and 2015-2018, using data from 39,162 businesses in Vietnam obtained from the Orbis database. Results indicate that NITA, ROE, liquidity, and current payment ratio are important independent variables with significant differences in credit rating models before and after Circular 200. The research method proves useful for investors in analyzing investment risks for informed investment decisions. Vietnamese financial institutions can apply the model to identify specific credit rating issues for borrowers, enabling them to formulate appropriate credit policies and set different interest rates for varying risk levels. Future research directions include (1) enhancing data and variables, (2) improving data analysis methods, and (3) enhancing performance metrics.

The role of economics and management in the development of sustainable business models of agricultural enterprises

The relevance of this topic lies in the need to use economic and management strategies that can help agricultural enterprises adapt to a changing environment and ensure sustainable and resilient growth in the future. The purpose of the study was to examine the impact of economic and managerial factors on the development of agricultural enterprises, with a focus on creating sustainable business models. The methods used were analytical, statistical, and comparative. The paper examines the role of economics in the formation of sustainable business models of agricultural enterprises, focusing on optimizing the use of resources and adapting to market conditions. It is found that economic aspects include optimization of production processes, cost management and analysis of market trends. Efficient use of resources is a key aspect of sustainable business models of modern agricultural enterprises. The use of advanced technologies, such as precision farming and process mechanization, helps to increase productivity and reduce costs. Management of such market factors includes strategic planning, risk analysis and search for new development opportunities. An example of successful use of innovative technologies in agriculture is given on the sample of the American company John Deere. The article describes the strategy for developing sustainable business models for the Ukrainian company Myronivsky Hliboproduct, which includes the introduction of advanced agricultural technologies, diversification of production, optimization of resource use, development of local markets, improvement of risk management and promotion of social development of local communities. It is noted that the unfavourable conditions of war and economic instability pose serious challenges to the agricultural sector, but such conditions can also stimulate the search for new, more sustainable, and efficient business approaches. As a result, the development of sustainable business models for agricultural enterprises requires a comprehensive approach and systematic measures aimed at optimizing production, managing risks, and promoting the social development of local communities. The practical significance of the study lies in the possibility of increasing competitiveness, resource efficiency and sustainability in a changing market environment, which contributes to the sustainable development of the agricultural sector

Assessment of clean production level in phosphate mining enterprises: Based on the fusion group decision weight and limited interval cloud model

To develop a robust cleaner production level assessment model for phosphate mining enterprises, this study investigated the key factors influencing their cleaner production levels. The model incorporates integrated group decision weights and a limited interval cloud model. Based on the comprehensive life cycle of phosphate mining production, we constructed a detailed evaluation index system to assess the cleaner production level of these enterprises. This system defined the quantitative ranges for each level and revealed the interrelationships among the indicators. To ensure comprehensive weight determination, we proposed a method that integrates the expertise of multiple stakeholders. This method leveraged group decision-making principles to effectively resolve conflicts in expert judgments during the weight determination process. In addressing the characteristics of evaluation indicators for the cleaner production level of phosphate mining enterprises, we proposed employing a finite interval cloud model to accurately characterize the distribution of the indicators. Leveraging the finite interval cloud model, we obtained numerical characteristics for various indicators and incorporated the weights of the integrated group decision-making attributes. This approach enabled us to determine the cleaner production level of phosphate mining using a finite interval cloud generator. Validation using five phosphate mining enterprises in Hubei Province, China, confirmed the model's high accuracy. This model demonstrated its applicability in evaluating cleaner production levels for phosphate mining enterprises, offering a theoretical foundation for developing targeted environmental management policies.

Revenue Models of Academic Enterprises – An Empirical Study in Vietnam

Academic publishing is the publishing field associated with scientific works, scientific articles, or scientific documents. Under the impact of the Internet, digital transformation, and open access, academic publishing is also affected. Academic publishers around the world have changed their revenue models to grow but this creates controversial views. In Vietnam, academic publishing is developing in response to internal needs and international integration. Academic publishers and scientific journals in Vietnam are also influenced by digital transformation and open access. Besides the opportunities, the challenges facing the academic publishing sector in Vietnam are research quality and revenue model. Based on the content research method, this writing presented some basic theories about academic publishing, academic publishing revenue models, and some discussions about academic publishing in Vietnam.

Pengembangan Usaha Susu Sapi Perah (Studi Kasus UPT Pembibitan Ternak dan Hijauan Pakan Ternak Rembangan Jember)

This study aims to identify the business model of the dairy cow milk enterprise at UPT Pembibitan Ternak dan Hijauan Pakan Ternak Rembangan and to determine the development strategies for the dairy cow milk enterprise at the same center. The research area was deliberately chosen (purposive method) at UPT Pembibitan Ternak dan Hijauan Pakan Ternak Rembangan. The respondent selection method was purposive sampling. The study employed a descriptive method with Business Model Canvas and SWOT analysis tools. The research findings include a business model map, and it was determined that the UPT Pembibitan Ternak dan Hijauan Pakan Ternak Rembangan is located in quadrant I, indicating that the Strength-Opportunities (S-O) strategy can be applied. This strategy consists of maintaining the quality of milk sold at affordable prices, expanding partnerships to reach a broader consumer base, and providing training and education to workers on the use of advanced technology in dairy cow milk production activities.

Enterprise Credit Risk Decision: Application Based on Improved AHP

The credit risk of Shouguang vegetable enterprises in China is the biggest obstacle to corporate loans. Building a credit risk assessment model for Shouguang vegetable enterprises and accurately rating the risk of loan enterprises is the key to successful loans. This article aims to construct an AHP evaluation model for the credit risk of Shouguang vegetable enterprises. The data is sourced from managers, bank credit personnel, university researchers, and enterprise related customers who are familiar with the enterprise, while considering four risk levels: impact degree(I), occurrence probability(P), risk manageability(M), and government support(S). This article uses AHP and risk index scores to evaluate the credit risk of Shouguang vegetable enterprises. This model calculates the risk index score based on survey data from 41 corporate credit risk professionals, constructs a pairwise comparison judgment matrix, and conducts consistency testing. It calculates the risk level membership vectors of impact degree, occurrence probability, risk manageability, and government support level at four risk levels, and then calculates the comprehensive evaluation membership vector of credit risk for Shouguang vegetable enterprise. The calculation results show that the comprehensive credit risk assessment level of Shouguang vegetable enterprise belongs to the general risk level, with a membership value of 0.5836. The results still show that the credit rating of Shouguang vegetable enterprises in the four risk levels of impact degree, occurrence probability, risk manageability, and government support are all average risk levels, but there are differences in membership values. The maximum membership value under the impact degree level is 0.6163, and the minimum membership value under the risk manageability level is 0.5572. This study provides a feasible and practical model for enterprise credit risk assessment and conducts a detailed evaluation of the credit risk of Shouguang vegetable enterprise, providing valuable reference for enterprise managers, bank credit personnel, and related researchers.

The Law of Social Enterprises: Surveying a New Field of Research

Social enterprises are becoming increasingly popular across the globe. They are seen, particularly by younger generations, as an exceptionally promising organizational model. More recently, the idea to tackle social challenges with entrepreneurial means has also been met warmly by policymakers. However, the legal framework for social enterprises remains poorly developed and legal analysis of the subject matter in academia is only slowly gaining momentum. Against this background, this article outlines the multifaceted, real-world phenomenon of social enterprises in business practice and management research, whereby different patterns of thought in Europe on the one hand and in the United States on the other can be identified. It then introduces the (corporate) law of social enterprises, especially the development of new organizational forms, and takes stock of this gradually emerging field of research in Germany, Europe, and the United States. Furthermore, it addresses research perspectives and open questions in the new field of social enterprise law, highlighting, inter alia, that one should distinguish more strongly than before between different models of social enterprises and organizational forms when considering a new legislative creation.

Analysis of Social Business Strategy (Case Study in Rumah Harapan Kita Foundation)

This research aims to create an overview of business strategies, identify business strategies using the social enterprise model canvas and SWOT models, and formulate appropriate business social business strategies. The object of this research is the Rumah Harapan Kita Foundation, which is one of the social businesses in Tasikmalaya City. The method used is qualitative with a case study approach. The types of data used are primary and secondary with data collection techniques using observation techniques and unstructured interviews. Primary data was obtained from an in-depth interview process with the Rumah Harapan Kita Foundation, while secondary data was obtained from documents, websites, and foundation archives. The informant for this research is the CEO and Director of Entrepreneur of Rumah Harapan Kita Foundation. Data analysis uses the model analysis method from Miles and Hubermen (1992), namely: reducing data as a form of data sorting; processing data as data presentation; and verifying the conclusions of the data that has been analyzed. The research results show that the Rumah Harapan Kita Foundation's business strategy has not been structured systematically. Then, based on the results of the analysis using SWOT and SEMC, 8 SEMC elements need to be developed. So the formulation of Rumah Harapan Kita Foundation's business strategy is focused on the elements of customer segments, value propositions, channels, customer relationships, revenue streams, key activities, key partners, and impact & measurement.

Exploration and Practice of Personnel Allocation Model for County-Level Power Supply Enterprises' Rural Electric Personnel

Exploration and Practice of Personnel Allocation Model for County-Level Power Supply Enterprises' Rural Electric Personnel

Managing Restaurant’s Food Loss and Waste at The Aburi Sushi Bali: A Sustainable Culinary Tourism Enterprise Model in Bali

Managing Restaurant’s Food Loss and Waste at The Aburi Sushi Bali: A Sustainable Culinary Tourism Enterprise Model in Bali

Research on the Construction of a Higher Education Knowledge Management Model Based on the Integration of Shadow Teams

With the advancement of technology and the development of globalization, higher education institutions are facing increasingly complex knowledge management challenges. Shadow team usually refers to an informal and flexible team, where different departments or fields work together to promote knowledge exchange and integration, and stimulate innovative thinking. In order to enhance the knowledge management capabilities and competitiveness of higher education knowledge management institutions, this study will integrate shadow teams, construct a knowledge management model for higher education training enterprises, and use Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation Method to construct an evaluation model for knowledge management capabilities of higher education training enterprises. The research results indicate that compared with traditional knowledge management models, the knowledge management model of higher education training enterprises integrating shadow teams collects 253 and 164 pieces of intelligence information at the 60th second, respectively; When the intelligence information is 300 pieces, the effectiveness of the analysis of the two models is 87.2\% and 39.5\%, respectively. An empirical analysis was conducted on a certain postgraduate entrance examination institution, and it was found that compared to students who reviewed independently, most of the students who participated in the training had significantly higher grades than those who did not receive training. The higher education knowledge management model that integrates shadow teams has stronger knowledge management capabilities and higher competitiveness.

The Potential of New Retail Models: Financial Analysis of JD and Suning Supply Chain Management Capabilities

With the popularity of e-commerce and online consumption, offline sales stores have encountered a bottleneck period, and the competition in China’s retail market is becoming increasingly fierce. Many retail industries are moving towards the new “online + offline” retail model. This trend represents the retail industry catching up with the digital age, merging the traditional brick-and-mortar economy with online sales channels to meet better changing consumer needs. This study combines several research results, and this paper analyzes the level of the enterprise supply chain from the five indicators of revenue growth rate, inventory turnover rate, return on assets, sales expense ratio and management cost ratio. This paper will take Jingdong and Suning as examples to analyze the characteristics of the new retail model based on the overview of the new retail model, deeply study and discuss the impact of the new retail model on the development of enterprises, and analyze the opportunities and challenges they face. Finally, targeted suggestions are put forward to promote the development of the new retail model for enterprises.

From enterprise models to low-code applications: mapping DEMO to Mendix; illustrated in the social housing domain

Due to hyper-competition, technological advancements, regulatory changes, etc, the conditions under which enterprises need to thrive become increasingly turbulent. Consequently, enterprise agility increasingly determines an enterprise’s chances for success. As software development often is a limiting factor in achieving enterprise agility, enterprise agility and software adaptability become increasingly intertwined. As a consequence, decisions that regard flexibility should not be left to software developers alone. By taking a Model-driven Software Development (MDSD) approach, starting from DEMO ontological enterprise models and explicit (enterprise) implementation design decisions, the aim of this research is to bridge the gap from enterprise agility to software adaptability, in such a way that software development is no longer a limiting factor in achieving enterprise agility. Low-code technology is a growing market trend that builds on MDSD concepts and claims to offer a high degree of software adaptability. Therefore, as a first step to show the potential benefits to use DEMO ontological enterprise models as a base for MDSD, this research shows the design of a mapping from DEMO models to Mendix for the (automated) creation of a low-code application that also intrinsically accommodates run-time implementation design decisions.

Features level sentiment mining in enterprise systems from informal text corpus using machine learning techniques

ABSTRACT This study explores feature-level sentiment analysis of Hindi blog reviews in enterprise systems, a significant area in the Indian context yet understudied. By applying machine learning techniques like SVM across unigram, bigram, trigram, and n-gram models, and combining Lexicon-based methods with machine learning algorithms, we aim to enhance sentiment classification for better customer relationship management and product development. Contrasting with document-level approaches, our method focusing on bigrams achieves a test accuracy of 75%, offering a scalable model for enterprises to extract detailed customer insights from informal text, thereby aiding informed decision-making in a multicultural environment.

N.A. Blatov and his ideas of balance analysis: history and modernity

This article is devoted to the contribution to the analysis of the balance sheet of one of the famous scientists in the accounting – Nikolai Alexandrovich Blatov. Being a model of flows of three types values, «Blatov’s Square» illustrates the boundaries of balance sheet as an enterprise model. Half of the requirements, noted by Blatov for checking the correctness of the balance, are subjective and cast doubt on the possibility of drawing up the correct balance sheet. Blatov is one of the first authors who presented algorithms for balance analysis techniques and formalized analytical procedures, calling it «economic analysis». These methods remain relevant. The calculation of turnover and liquidity indicators proposed by the author may complement the methods of modern practice. An assumption was made about the relevance of using knowledge of the balance studies in modern conditions. Based on the study of Blatov’s works, it can be concluded that to a greater extent it is advisable to internal rather than external users to apply his ideas for the enterprise analysis.

Assessment of the impact of external factors on the business model of public catering enterprises

The transformation of traditional business models of public catering enterprises into their innovative version occurs under the influence of a certain set of external factors. The assessment, both negative and positive, of the influence of external factors should be carried out according to adapted methods suitable for the situation and the chosen industry. At the moment, a set of external factors that have a significant impact on the formation of successful business models remains insufficiently studied. The need for research is also due to the lack of a system of factors that must be taken into account when forming an adaptive business model for public catering enterprises. The purpose of the study is to form a system of factors that have a significant impact on the public catering sector, and to assess the nature of the influence of each factor on the activities of public catering enterprises. The research methods are: comparative analysis, statistical analysis, benchmarking, classification and ranking, Churchman – Akoff method, PEST-analysis. The result of the study is a developed system of factors that have a significant impact on the catering industry, and an assessment of the nature of the influence of each factor, as well as identified industry risks and identified strategies for responding to them. The authors conclude that the most significant factors influencing the formation of a successful business model in the field of public catering are: the sanctions imposed against Russia by some countries; increased investment in catering projects; increasing the importance of higher education; technological improvements, the introduction of modern technologies in the catering infrastructure.

Stakeholders self‐organization and adaptive governance in social enterprises: Membership representation, worker control and client orientation

AbstractThe article uses elements of complexity theory, social systems theory, and new institutionalism to analyse stakeholder self‐organization in Italian non‐profit social enterprises. Organizational development goes through an evolutionary process of trial and error, in which stakeholder self‐organization produces governance rules and routines to achieve adaptation and resilience in a changing socioeconomic environment. Survey data regarding social cooperatives, which are prevalent in Italy as a form of social enterprise, display how diverse stakeholders engage in self‐organization and self‐positioning within key governance bodies of membership and board of directors. The results demonstrate that in the absence of investor ownership, producers, especially paid staff but also volunteer workers, assume the main responsibility for decision‐making and control. Client orientation, the production of economic and social value in favour of customers and users, is achieved in a context of high relational intensity through participation in the co‐production and co‐creation of services, as well as the pooling of non‐commercial resources and favourable price discrimination, less through participation in decision‐making and control. This emerging evolutionary pattern can support the development of new organizational and business models for social enterprises.

Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts

ABSTRACT Building information modeling (BIM) is a disruptive information technology tool in the construction sector. Although this technology had a significant impact on the manufacturing industries, it, like any other technology, encountered several challenges when applied to the construction sector. Conversely, small and medium-sized enterprises (SMEs) in developing economies often face significant impediments when using innovative technologies. Thus, this paper seeks to determine and investigate the perceived barriers to applying BIM in construction SMEs based in Iran. Three rounds of Delphi surveys were carried out with 15 BIM experts engaged in construction SMEs to identify the key barriers to BIM implementation in SMEs. An empirical survey questionnaire comprising these identified barriers was subsequently designed and disseminated to the invited experts. Altogether, 56 valid survey responses were received and analyzed. The study’s findings revealed SMEs management’s hesitancy to adopt BIM, stakeholders’ reluctance to change their established methods, and a lack of technical understanding as the critical impediments to BIM adoption in construction SMEs. Also, the study identified four barrier dimensions – technology, legal, management, and financial. These BIM implementation barrier dimensions can be employed to better allocate resources and financing for BIM deployment and construction innovation in SMEs. The study will assist major project stakeholders and SMEs make better-informed BIM adoption decisions, particularly in developing nations like Iran.