Enterprise Model Research Articles

Toward an ontology for EA modeling and EA model quality

Models have long since been used, in different shapes and forms, to understand, communicate about, and (re)shape, the world around us; including many different social, economic, biological, chemical, physical, and digital aspects. This is also the case in the context of enterprise architecture (EA), where we see a wide range of models in many different shapes and forms being used as well. Researchers in EA modeling usually introduce their own lexicon, and perspective of what a model actually is, while accepting (often implicitly) the accompanying ontological commitments. Similarly, practitioners of EA modeling implicitly also commit to (different) ontologies, resulting in models that have an uncertain ontological standing. This is because, for the subject domain of enterprise architecture models (as opposed to the content of such models), no single ontology has gained major traction. As a result, studies into aspects of enterprise architecture models, such as “model quality” and “return on modeling effort”, are fragmented, and cannot readily be compared or combined. This paper proposes a comprehensive applied ontology, specifically geared to enterprise architecture modeling. Ontologies represent structured knowledge about a particular subject domain. It allows for study into, and reasoning about, that subject domain. Our ontology is derived from a theory of modeling, while clarifying concepts such as “enterprise architecture model”, and introduces novel concepts such as “model audience” and “model objective”. Furthermore, the relevant interrelations between these different concepts are identified and defined. The resulting ontology for enterprise architecture models is represented in OntoUML, and shown to be consistent with the foundational ontology for modeling, Unified Foundational Ontology.

Crowdsourcing approach in the model of digital transformation of a tourism enterprise

Increased economic uncertainty and public concern about the new degree of risks to safe living give rise to changes in the structure of supply and demand in the travel industry. The share of cultural and ecological recreation in domestic tourism is growing, with a focus on the consumption of goods from local producers. The universal digitalization of public life increases the importance of cultural self-identification and creative self-expression, which also affects consumer behavior. All this forces tourism enterprises to look for new solutions to adapt their production processes and increase digital maturity. However, the complex of internal and external factors that have a decisive influence on management decision-making makes it difficult to apply existing models of digital transformation of organizations engaged in the field of tourism services. The expert literature on these issues is limited to examples of large companies and entire resorts. The author conducted an approbation of the methodology for drawing up a digital transformation strategy, proposed by a team of authors in the work "Digital Transformation Strategy: write to execute". The study is presented in the form of a case study of an Internet service development project Biggeo.ru the Sochi travel company. The article presents the experience of developing and implementing a digital transformation strategy for a travel agency, which can be useful both to representatives of the scientific community and creative industries involved in the development of innovative products and services, as well as to the heads of companies of alternative types of tourism. The digital transformation model was based on a crowdsourcing approach in the field of cultural and creative tourism, thanks to which an innovative tourist information resource was developed. The work carried out made it possible to confirm the hypothesis about the possibility of using this model in small enterprises of the tourism sector, to carry out a detailed description of the process of drawing up a strategy and to fill a gap in the scientific and expert literature devoted to this area. New in-demand activities and an innovative digital product, which appeared due to the implementation of the strategy for increasing digital maturity, allow us to characterize the first results of the project as successful, and the developing project is able to meet the needs of stakeholders in tools for promoting cultural and creative tourism.

A social enterprise model for TB detection and treatment through the private sector in Pakistan.

Existing models to increase TB case notifications from the private sector in Pakistan are financially unsustainable and have achieved modest success due to limited coverage. To evaluate the impact of a social enterprise model (SEM) intervention on TB case detection in Karachi, Pakistan, and to assess its financial sustainability. Purpose-built centres were established within the private sector that integrated TB screening, diagnostics and treatment and operated 12 hours per day with convenient locations to improve access. TB services were offered free of cost, and revenue generation took place through user fees from other diagnostics. Private providers with a focus on the informal sector were engaged through community workers to generate screening referrals. Overall 171,488 people were screened and 18,683 cases were notified, including 197 individuals with drug-resistant TB. Annual TB notifications in Karachi increased from 18,105 in 2014 to a maximum of 25,840 (40% increase). The proportion of cases in Karachi notified by the centres grew to 27% in 2020. Commercial revenue reached USD288,065 and enabled operating cost recovery of 15%. Average cost per TB case notified was USD203. The SEM intervention contributed a large proportion of notifications in Karachi and achieved modest cost recovery.

Towards an Approach to Co‐Execute System Models at the Enterprise Level

ABSTRACTIndustry 4.0, the Internet of Things, and large‐scale system‐to‐system interactions are driving digital transformation in the industry. Model‐based systems engineering (MBSE) is one of the core paradigms behind this transformation. MBSE practices are widely applied to enterprise (including system of systems and mission) architectures, which become a crucial part of successful digital transformation. The core challenge today is not only how digital continuity can be maintained by connecting different layers of models (such as system models to system‐of‐systems models), but also how to perform detailed analysis and simulation at the enterprise level model. This paper studies Systems Modeling Language (SysML®) as the standard language to model systems, Unified Architecture Framework (UAF) as the framework, Unified Architecture Framework Modeling Language (UAFML) as the language to model enterprise architectures and proposes an approach for end‐to‐end co‐execution of the integrated enterprise model.

Customer churn prediction model in enterprises using machine learning

Customer churn prediction model in enterprises using machine learning

Distribution and Delivery Model on E-Commerce Service for MSMEs

This research aims to develop an e-commerce service application model for Micro, Small, and Medium Enterprises (MSMEs) that facilitates the sale of MSME products online. The application model allows MSMEs to expand market reach and sell products more efficiently through the internet. In this application, data about customer locations, product locations, and information about available road networks are collected and entered into the system. Furthermore, using Dijkstra's method, the shortest route from the initial location or distribution point to the customer can be calculated automatically by considering factors such as distance, time, and transportation that may affect the speed of delivery. The MSMEs e-commerce service application model can optimize distribution and delivery with the aim of increasing the competitiveness and growth of MSMEs in the digital era. The results obtained in this study provide guidance and contributions in the development of a sustainable e-commerce system for MSMEs.

PRAGMATICS OF THEORETICAL RESEARCH IN THE SPHERE OF FINANCIAL SECURITY OF ENTERPRISES OF NETWORK STRUCTURES: SAFE MEASUREMENT

The work substantiates the necessity of forming an effective model of enterprises of network structures, which ensures their financing based on the principles of innovative development. It has been proven that countries with an unbalanced economic structure as a whole also suffer from the inadequacy of economic security management mechanisms. It is argued that in order to ensure the effective development of the market of national enterprises of network structures, it is necessary to determine its global goal and main purpose. Determining its purpose will ensure the unity of the system and internal incentives for development, speed up the integration into the global system of enterprises of network structures and synchronize the internal interests of the market agents of such enterprises with the interests of the economy as a whole. It is substantiated that the market of enterprises of network structures in Ukraine, being a complete socio-economic system, does not have a clear structural organization of its segments in comparison with corporate enterprises. It is proposed that the solution to the problems of the development of enterprises of network structures in Ukraine must be considered in close connection with the issues of their economic security.

Comprehensive economic analysis of innovation activity of the enterprise

Subject. The article deals with scientific and methodological approach to the complex economic analysis of innovation activity of enterprises. Objectives. The aim is to determine the vector of management decisions regarding the increase in the level of enterprise’s innovation activity. Methods. The study employs methods of scientific abstraction, analysis, synthesis, systematization and generalization, complex integrated assessment, statistical analysis, and matrix methods. Results. To perform the comprehensive economic analysis of innovation activity, we developed a system of indicators and a structural and logical scheme. The results of the analysis of innovation activity of enterprises operating in the food industry of the Donetsk People's Republic show positive trend in the introduction of different kinds of innovations in different aspects of activity. At the same time, the level of innovation activity of most enterprises (60%) is assessed as average, and of 40% - as satisfactory. This requires to develop directions for innovative renewal of existing business models of food industry enterprises, and actively introduce innovations. Conclusions. The practical value of our structural and logical scheme of integrated economic analysis of enterprises’ innovation activity consists in the possibility of integrating into a single cyclical process of a sequence of actions to determine the actual level of innovation activity. The scientific and methodological approach, presented in the study, rests on a multi-criteria system of evaluation indicators, takes into account innovation performance criteria, and enables to reasonably determine management responses to innovation renewal of the current business model of the enterprise.

Dynamics of labor and capital in AI vs. non-AI industries: A two-industry model analysis.

There is an imbalance in the development of artificial intelligence between industries. Compared to non-AI enterprise, AI- enterprise will save labor, enhance innovation capabilities, and improve production efficiency. By constructing a two-industry model of AI and non-AI enterprise, this paper finds that with the development of artificial intelligence in the same industry, the AI enterprise will occupy a dominant position, attracting labor and capital from the non-AI enterprise into the AI enterprise. In different industries, the development of artificial intelligence improves the production efficiency of the enterprise. However, due to the price effect, non-AI enterprise benefits more. Labor and capital flow from AI enterprise to non-AI enterprise. In order to promote the improvement of production efficiency in the whole society, the government can tax non-AI enterprise and subsidize them to AI enterprise. Taxation promotes the degree of automation and the improvement of production efficiency, but it has only a short-term effect on the development of AI. At the same time, taxation inhibits the development of non-AI enterprise, and there is a high risk of unemployment. When both industries use artificial intelligence for production, the labor share and the capital share of the two industries will tend to the same value. The convergence of technology measures is conducive to increasing labor income share and reducing income inequality, but it is not conducive to innovation.

The Influence of College Employment Guidance on the Employment Ability of College Students in Conghua District, Guangzhou

The main purpose of this study is to understand the current situation and problems of college students' employability, analyze their influencing factors, and propose corresponding strategies to enhance their employability from the perspective of college students, in order to achieve the ultimate goal of helping college students improve their employability. This study adopts quantitative research methods such as literature review, questionnaire survey, and statistical analysis to study the content of the article. The research subjects are students and graduates from nine major universities in Conghua District, Guangzhou. This article mainly collects data through SoJump's online distribution of survey questionnaires. Through statistical analysis of the survey data, we understand the current situation of college students' employability, compare it with their training goals, and identify gaps and problems. Based on the research results of the employment ability model in the industry, combined with the training goals of professional talents, and referring to the employment standards and competency model of a large group enterprise for fresh graduates, a college student employment ability evaluation scale was constructed. The sample data was analyzed and processed using SPSS and structural equation modeling. As a supplementary study, this study has made significant contributions to the study of the impact of college students' employability, and has pioneered the use of structural equation models to verify the above hypotheses, filling the gap in many such studies that have not been validated using structural equation models.

Evolutionary game analysis of factors influencing green innovation in Enterprises under environmental governance constraints

The key to controlling environmental pollution is to promote green innovation in relevant enterprises and achieve a healthy development of the environmental governance system. This paper constructs a tripartite evolutionary game model of environmental protection enterprises, polluting enterprises, and governments, and conducts in-depth research on the influencing factors that promote green innovation in two types of enterprises. MATLAB software is used to analyze the impact of different degrees of influencing variables on system evolution. It has found that (1) increasing the intensity of environmental governance and the level of innovation subsidies by the government can effectively promote green innovation in both types of enterprises. (2) The varying degrees of innovation compensation from polluting enterprises to environmental protection enterprises have a significant impact on system evolution. (3) The initial intention and population size of two types of enterprise entities will have a significant impact on system evolution. In the initial state, subjects with more green innovation are less willing to change their strategies during the evolution process, while the willingness of the other party to green innovation will be suppressed.

RECONSTRUCTION OF EMPOWERMENT-BASED MARKETING PERFORMANCE RECOVERY FOR MICRO AND SMALL BUSINESSES IN INDONESIA

The Covid-19 pandemic has made most economic sectors, especially micro and small enterprises, stagnant and even bankrupt. This situation is what makes micro and small business enterprises change their sales strategy through digitalization schemes. The Covid-19 pandemic has indirectly prompted new changes in Indonesia's business style. Social media and marketplaces can become a new concept to make it easier for micro and small business actors to get more comprehensive marketing access. This study aims to initiate an ideal digital marketing adoption model for micro and small enterprise to restore economic conditions to their original state. The research method is an exploratory qualitative approach using primary data obtained from observations and interviews. The sampling technique used purposive sampling with the criteria of the sources being micro and small business actors assisted by the Department of Cooperatives and SMEs of Semarang, Surakarta, Grobogan, Pemalang, Purworejo. The flow of research analysis is data collection, data reduction, data presentation, and concluding. The results of this study indicate two alternative solution models, including training and startup development and training and scaleup development. The urgency of this research allows the government to carry out single submission online program management to minimize errors and monitor program progress. This solution model is expected to be a role model based on ta'awun (mutual relations) for other provincial governments in empowering micro and small business actors to become more optimal based on appropriate technology.

A.P. Rudanovsky and his ideas of balance sheet analysis as an enterprise model.

This article is devoted to the contribution to the development of Russian accounting by one of the outstanding scientists of the XX century Alexander Pavlovich Rudanovsky. Particular attention is paid to balance sheet as a central category in the researcher’s works. In Rudanovsky’s works the balance sheet can be considered as a model in the modern sense of economic relations. Despite the fact that Rudanovsky’s ideas were not subsequently developed by Soviet economists, they were highly appreciated and inspired post-Soviet researchers to updated concepts. Thus, the study of its theoretical provisions remains relevant.

Technological Innovation Investment Channels of Industry–University–Research Alliance Enterprises and Non-Alliance Enterprises Based on Evolutionary Game

According to their resource ownership and resource acquisition channels, this paper constructs an evolutionary game model of enterprises’ technological innovation investment channels considering managers’ expectations. This results in the strategy of non-alliance firms along the first channel having a significant impact on the evolutionary equilibrium. For non-alliance enterprises, the difference in the amount of investment in the R&D stage has the same impact on the probability of such enterprises following the first channel. The number of active managers, group capacity, the difference in managers’ expectations, and the difference in the amount of technological innovation investment in the R&D stage have significant differences in the possibility of choosing the first channel between the two types of enterprises. The research conclusions can provide valuable references for enterprises to make technological innovation decisions.

Construction and validation of a financial risk prediction model for e-commerce enterprises oriented to financial sharing

Abstract Relying on advanced technology, the financial shared management model realizes a breakthrough for the enhancement of enterprise financial management capability, and provides effective support for enterprise decision makers while mining financial risks. In this paper, the support vector machine algorithm (SVM) is used to construct a financial risk prediction model for e-commerce enterprises, and the radial basis kernel function (RBF) is selected among various kernel functions to enhance the discriminative ability of SVM. At the same time, the particle swarm algorithm (PSO) is introduced to optimize parameter γ and penalty factor C of the RBF kernel function, and the PSO-SVM fusion model is constructed, so as to improve the prediction accuracy of the e-commerce enterprise financial risk prediction model. After the experimental analysis of this paper on the various capabilities of enterprise financial management, it is found that the operating cash flow ratio of the e-commerce enterprise is less than 40% in 2017-2021, and reaches a minimum of 3% in 2020, which indicates that the Z e-commerce enterprise has insufficient ability to raise debt to operate, which may cause problems such as a decrease in the rate of return on assets. In addition, the cash flow of the e-commerce enterprise is highly variable, and the cash outflow from operating activities is significantly higher than the cash inflow in 2020, resulting in a negative net inflow of −111,451,575,000 yuan. It indicates that the Z e-commerce enterprise has a low degree of control over cash flow, and there is a financial risk of a sudden break in the capital chain. Therefore, the risk prediction model constructed in this paper can uncover potential hidden financial dangers and risks by analyzing the financial data of e-commerce enterprises.

Designing an Agile Marketing Model for Small and Medium-sized Enterprises in Iran (Case Study: SMEs in the Northwest Regions of Iran)

Objective: The aim of this research was to design and propose an agile marketing model for small and medium-sized enterprises (SMEs) in Iran using a grounded theory approach. The study investigated the factors influencing the implementation of agile marketing, its enablers, barriers, and outcomes in SMEs located in the northwest regions of Iran. Methodology: This study employed a mixed-method approach (qualitative and quantitative). In the qualitative phase, theoretical sampling was conducted until theoretical saturation was reached through 21 semi-structured interviews, and the data were analyzed using the grounded theory method. In the quantitative phase, field data were collected via questionnaires from 406 SMEs in the provinces of East Azerbaijan, West Azerbaijan, Ardabil, and Zanjan, and the data were analyzed using statistical methods. Findings: The findings revealed that agile marketing improves the skills of specialized employees, enhances customer-centricity, and increases the competitiveness of SMEs. Furthermore, the role of digital technologies and data analytics as facilitators in the successful implementation of this approach was confirmed. Barriers such as organizational resistance and the complexity of the business environment were also identified as factors hindering agile marketing implementation. Conclusion: The study demonstrated that agile marketing can significantly enhance the performance and competitiveness of SMEs in turbulent markets. However, successful implementation requires appropriate infrastructure, digital technologies, and cultural changes within the organization. Agile marketing is proposed as an effective strategy for improving marketing and market management capabilities in SMEs.

Optimization analysis of blockchain technology in enterprise digital financial management

Abstract The rise of mobile Internet has not only changed the business model of many enterprises, but also had a profound impact on the financial management model of enterprises. Based on this, this paper applies blockchain technology to enterprise financial management, using decision trees and information entropy alignment to optimize and promote its digital transformation. Regarding optimizing financial management processes, blockchain technology converts the enterprise’s financial management data into a distributed ledger. It integrates it with information entropy to create a digital financial data decision tree. This paper takes enterprise A as the research object, after optimizing the financial management process with blockchain technology, enterprise A’s financing ability is enhanced, and the current ratio as a whole maintains an upward state, reaching a maximum value of 0.86 in 2021, and then it has been maintained at about 0.8, indicating that the optimized short-term solvency capacity has been significantly improved. The total debt amount of enterprises is decreasing yearly, falling to 35.26 billion yuan in 2023. The amount of owners’ equity has shown an upward trend and has remained at a high level of 25 billion yuan since 2021. Therefore, blockchain technology strengthens the financial management capabilities of enterprises and explores a feasible path to reduce investment risks.

Interaction model of forestry enterprises with society and environment

The article presents the results of a study on the interaction between timber enterprises, society, and the environment. Currently, a business's effectiveness is determined by its ability to resolve conflicts between social, environmental, and economic spheres. The purpose of this work was to obtain and substantiate an adequate model of enterprise interaction with society and the environment. The main method used was analysis. Several models were developed to describe the interaction of the studied objects. The text provides a justification for existing conflicts in the work of timber enterprises. The development of technological aspects is proposed as a direction to transition the forest industry to a qualitatively new level of functioning. Several proposed key transformations can contribute to the transition to a balanced interaction model between the enterprise and the environment. The model of interaction between timber enterprises, society, and the environment is developed, highlighting areas for both increase and decrease. The study concludes that a balanced policy, oriented towards achieving sustainable results over time, is necessary for timber enterprises to achieve long-term success. It is important to consider the interests of future generations and the surrounding society, as this approach will only become more important in the future.

A Case For Decision Enterprise Modelling

With emergence of data driven decision making, data analytics and data science, regular as well as ad-hoc decision making has become important. We argue that this requires to model the decisional behaviour of an enterprise as different from its functional behaviour. We propose Decision Enterprise Modelling as a multi-model activity consisting of three models, the Decision Structure Model for modelling business decisions, a Decision logic Model for representing decision logic and a Decision Information Model for the data needed for decision making. We present an example of Decisional Enterprise Modelling for a micro-organization.

The strategy of revitalizing the business model of herbal medicine small enterprises in the post-pandemic era

The jamu (herbal medicine) industry in Indonesia experienced significant expansion during the COVID-19 pandemic. However, subsequent to the abatement of the pandemic, a substantial number of enterprises engaged in jamu production faced insolvency precipitated by a pronounced downturn in demand for herbal remedies. This study aims to identify how a small enterprise responds the market changes in the post-pandemic market and how to build new strategies based on the changes. Focusing on an Indonesian jamu small enterprise, namely AIG Bunda Nisa, this study implemented a qualitative longitudinal case study design based on nine aspects of the business model canvas (BMC) including customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partners, and cost structure (Toro-Jarrín et al., 2016). The SWOT analysis was conducted to formulate the most suitable strategy to be applied to each aspect of BMC. The results showed that most aspects have attack and improve strategy. Concentration on the proficient management of extant organizational assets and the optimization of the role of social media are the suggested actions for AIG Bunda Nisa to survive in the post-pandemic era. The strategies proffered may serve as viable alternatives and sources of inspiration for similar enterprises with commensurate circumstances.