Business Model Construct Research Articles

A method for analyzing the irreparability of diverse electricity consumption data based on improved data generation technology

The quality of electricity consumption data significantly influences business model construction, affecting performance and accuracy. This paper proposes a method for analyzing the irreparability of diverse electricity consumption data based on improved data generation technology. Firstly, extracting comprehensive and accurate features from electricity consumption data is difficult due to challenges like low collection frequency and unstable quality. A method for feature extraction is introduced. Secondly, datasets with varying frequencies, time scales, and consumption levels are generated to study the impact of defects on clean data. A method based on the Time GAN model is proposed for reconstructing data while preserving original features and distributions. Finally, a framework for assessing and analyzing the irreparability of electricity consumption data is established. Results show that with an acquisition frequency of 5 min or above, the data can withstand at least 62.9% of defect strength. High-frequency acquisition improves data recoverability by about 10% compared to low-frequency acquisition under the same defect strength.

Computer security technology in E-commerce platform business model construction

The global e-commerce market is expanding rapidly as the big data era advances and the e-commerce industry thrives. This paper aims to discuss the application of computer security technology in constructing an e-commerce platform business model. The research aims to find effective security technology solutions to strengthen the security of e-commerce platforms, protect user information and rights, and enhance the sustainable development of business models. Big Data-assisted E-Commerce Business Model (BD-ECBM) construction is discussed to overcome the e-commerce platform issues and positively impact marketing strategy decision-makers by raising their level of awareness. The business decision-making process is a series of steps that help businesses overcome obstacles by collecting relevant data, analyzing all relevant alternatives, and settling on a course of action. Big data analytics can improve business management with data fusion technology in many ways. The system's framework of the information service layer, the application-level layer, and the client session layer was developed using the Business model paradigm for accounting for e-past, commerce's capabilities of the platform, and an analysis of supply and demand. It can monitor its rivals in near real-time, adjusting prices, offering more attractive deals, and analyzing negative customer comments to see if it can outperform its rivals. The trial results demonstrate the effectiveness of this method of making marketing decisions and formulating a strategy. Hence, the BD-ECBM technique improves customers' overall satisfaction and experience with the brand while raising the latter's profile.

Business Models and Lean Startup

We explore the intersection between the lean startup methodology and research on business models. We note that both perspectives are anchored on a systematic approach to needs discovery and highlight the importance of value creation (vs. value appropriation). However, while the lean startup is centered on creating value for customers through discovery of product-market fit, research on business models concerns value creation for all stakeholders through establishing product-market-business model fit. We also discuss how the lean startup method informs research on business models and vice versa. We observe that the promise of applying lean startup to business models lies in probing the viability of new business models with an efficient and effective process. We find that business model research, in turn, can contribute to the lean startup methodology by (a) suggesting extensions to the method that derive from the holistic, system-level nature of the business model construct and (b) highlighting a range of specific experimental subprocesses, refinements, and tools that could be applied to refine the customer needs discovery process.

A qualitative inquiry into sustainable transitions and business models in Icelandic energy-related companies

In the face of escalating environmental and social crises, the potential for a sustainable transition within the current sociotechnical system has emerged through innovation and alternative technologies. Despite offering diverse perspectives, sustainable transitions remain uncertain in terms of their nature and pathways. The research aims to bridge theory and reality through a case study to investigate the potential for sector-specific businesses to contribute to a sustainable transition within the current sociotechnical system. This study focuses on five Icelandic energy-related companies and two governing bodies within the energy value chain, and examines the sustainability of companies' business models and their contributions to different futures, and contextualizes the results within economic theory. The study identified two alternative economic paradigms, Green Growth (GG) and Post Growth (PG), as potential frameworks for achieving sustainable futures. The findings suggest Icelandic energy-related companies align with GG and predominantly prioritize energy efficiency, transparency enhancement, and environmental impact reduction, reflecting contributions to medium-term tactical level changes within the sociotechnical system. Challenges arise in fully implementing PG principles due to the complexities of reconciling energy production, consumption, and growth goals. The findings underscore the pivotal role of energy-related companies in sustainable transitions but emphasize the need for policy interventions to guide macroeconomic activities towards environmental and social wellbeing. The theoretical contribution of this study is the identification of alternative economic paradigms and construction of a sustainable business model for energy related companies. The practical contribution of this study is the framework used in evaluating the business model of companies in the energy sector which can provide practical understandings of the implementation of sustainable business models and a company's sustainability performance.

Construction of Business Model of Unmanned Economy Under Digital Technology

In the ever-evolving landscape of modern business, the integration of advanced technologies is paramount for optimizing operations, ensuring efficiency, and staying competitive. The business model for the unmanned economy comprises the challenges related to supply chain and logistics. This paper proposed an architecture of LM-LSTM (Linear Regression and Long Short-Term Memory) model within the context of the Unmanned business model. The proposed model uses the mandami based fuzzy rule for the computation of the unmanned economy. Within the mandami fuzzy linear regression model is adopted for the computation and estimation of the variables related to the unmanned economy. The objective is to provide a comprehensive analysis of the impact of this predictive modeling system on various dimensions of the business. Through the generated rules the LSTM model is utilized for the classification and computation of the features related to supply chain, forecast demand and other parameters in an unmanned economy. The examination of 10 unmanned products in Chinese products are evaluated. The findings of LM-LSTM stated that Sales forecasting, one of the critical aspects of any business, has seen a remarkable improvement in accuracy, with an average Mean Absolute Error (MAE) of 3.00%. This accuracy ensures that products are produced and stocked according to actual demand, preventing costly overstocking or stockouts. The inventory management process has been streamlined, with tailored strategies for each product category. This adaptation has resulted in reduced stockouts, efficient parts sourcing, and minimal overstock situations. Supply chain optimization has significantly reduced lead times, enhancing customer satisfaction through timely product deliveries. Customer behavior analysis, facilitated by LM-LSTM, has led to a notable increase in sales across the product range, with an average increase of 91%. This enhanced customer engagement is coupled with substantial cost savings, with an overall reduction of 118%. Downtime has been minimized, contributing to smoother operations and improved customer service.

Interconnected or Disconnected? A Review of Sustainability, Resilience, and Sustainable Business Model Constructs in the Academic Business Literature

AbstractThe global climate change and resource depletion crisis require rethinking business models that drive the production and consumption of goods and services. This requires transdisciplinary and systemic reconfiguration and a critical evaluation of traditional economic, business, and management constructs. This research provides a systematic literature review of how the constructs of sustainability, resilience, and sustainable business models have been defined and applied in the economic, business, and management academic literature from 1990 until 2022. The key contributions of this paper are (1) a review of how sustainability, resilience, and sustainable business models have been defined in the literature, (2) an identification of the interfaces and lack thereof between these constructs, and (3) an outline of the gaps and limitations and need for further research to address the knowledge gaps.

МОДЕЛИРОВАНИЕ СИСТЕМЫ СОЗДАНИЯ СТОИМОСТИ ОБЕЗУГЛЕРОЖИВАНИЯ ПРОИЗВОДСТВ НЕФТЕГАЗОВОГО СЕКТОРА ЭКОНОМИКИ

In modern conditions, the speed of changes taking place in the economy negatively affects the value created by the business for stakeholders. The architecture of business models of responsible consumption and transfer of responsibility developed by the author makes it possible to adapt familiar profit-making models to the existing conditions of transition to the principles of sustainable development and decarbonization of production in the oil and gas sector of the economy. In turn, the studied theoretical platform for value formation and the construction of business models by elements allows us to refine existing concepts of profit creation models, taking into account the new conditions for the transition to a low-carbon economy. The concept of value creation by transferring responsibility and changing the input level of value creation (resource provider) also provides for a system of indicators to assess the social, managerial and environmental effects of implementing the architecture of the proposed business models.

THE DEVELOPMENT OF INDUSTRY 4.0 AS THE BASIS FOR ADAPTIVE MANAGEMENT OF THE FORMATION OF THE FINANCIAL AND ECONOMIC POTENTIAL OF AN INDUSTRIAL ENTERPRISE IN UKRAINE

The processes of digital transformation today are driving forces of change in almost all spheres and industries, and also open up opportunities for the introduction of new technologies and the construction of digital business models. The aim of the article is to characterize the digital transformation of enterprise management and digital decision-making processes taking into account the development of Industry 4.0 in Ukraine. Digital transformation of business is a very necessary and relevant process, which serves as a driver for changes in the company, changing the needs of customers, the actions of competitors, and promotes the emergence of new technologies and services. The gap between Ukraine and most European states is significant, and, according to experts, it will take 3 to 5 years to overcome it, provided the economic situation is stable, as well as the inflow of investments. Instead, Ukraine has a fairly large potential and a developed IT sector, which is the driving force in the implementation of Industry 4.0 technologies. The synergistic digital transformation of domestic governance, business, and industry, that involves the transition to European business standards in the context of the development of the information economy, digitalization, industrialization, digital transformations, informatization of society, and globalization of the economy, should become a challenge for Ukraine. These processes require improvement of competitiveness, income and infrastructure of enterprises; acceleration of digitization of the most promising sectors; wider use of IT products and services by domestic companies; strengthening the country's defense sector. As a result of business adherence to the leading principles of digital transformation, there is a gradual change in business processes and the transition to digitization using Industry 4.0 tools and models. Based on the project of the national development strategy 4.0, the article presents a SWOT analysis of the digital transformation of enterprise management and digital decision-making processes, taking into account the development of Industry 4.0 in Ukraine.

Business Models as Complex Nonlinear Systems: Providing a Conceptual Framework for Growth and Innovation

For a long time, researchers and practitioners have implicitly drawn from the notion of complexity and complex systems to better explain business model dynamics. However, for analytical tractability, the nonlinear nature of the construct has never been explicitly acknowledged. To date, the business model construct is still investigated according to the classical method of enquiry of Newtonian legacy.
 This study conducts a comparative analysis between complex nonlinear systems and business models, providing a new and interesting perspective to understand the construct.
 The value of directly addressing the construct’s nonlinear dynamic is twofold.
 First, it will try to resolve the conceptual ambiguity that has traditionally surrounded the discipline of business model and business model innovation by providing a new method to study the construct.
 Also, by linking the business models’ qualities (emergent properties, feedback loops, interdependency of its components, sensitivity to initial conditions and notion of equilibrium) under the umbrella of complexity theory, this paper hopes to resolve the disconnect in the current research effort and to encourage further dialogue and studies on the subject of business model and complexity science.

PREREQUISITES OF ADAPTIVE MANAGEMENT OF BUSINESS PROCESSES IN THE CONDITIONS OF DIGITALIZATION: THE NATIONAL DIMENSION

The article defines the factors that form the environment of adaptive management of business processes in the conditions of digital transformation, and the nature of their influence. It was determined that the characteristic features of digital technologies are integration, intellectualization, and individualization. It is noted that the business process as a sequence of interrelated events that ensure the result of the activity of the subject of economic activity depends on many factors at each of the stages. It has been determined that the orientation of business processes on performance determines the objective necessity of classifying factors according to the nature of the impact – positive or negative. Among the favorable conditions, structural shifts in the labor market under the influence of digitalization, the formation of cyber-physical systems and platform technologies are highlighted. Structural shifts in the labor market under the influence of digitalization are associated with changes in labor relations, forms of employment, the quality of labor resources and their motivation, which will certainly contribute to changes in business models and their management. Cyber-physical systems, embodying material and virtual space, contribute to prompt response to problem situations, effective use of resources, and synchronization of work operations. Platform technologies help reduce transaction costs and save time. The threats of unfavorable factors are in the demographic and institutional planes and are related to deglobalization, resource failure. Unfortunately, it has been determined that the negative trends associated with the decrease in the number of labor resources and the deterioration of their quality characteristics will intensify. It is substantiated that in Ukraine at the current stage of development, the institutional environment does not have enough motivating motives for the effective use of the potential opportunities of business entities in the field of digitalization. It is noted that the resource failure is multi-layered and is a consequence of imperfect state regulation of the national economy, institutional environment, and low labor productivity. Prospects for further research are related to today’s challenges and substantiation of the possibilities of using digital technologies in the construction of business models during the post-war reconstruction of our state.

STARTUP: META-ANALYSIS, VIABILITY ASSESSMENT, FORMATION OF CONDITIONS FOR THE DEVELOPMENT OF IDEAS IN THE EDUCATIONAL SPHERE

The purpose of the article is the theoretical systematization of scientific approaches to the development of startup projects as a possibility of obtaining a commercialized effect based on combined implementation tools. The article presents a meta-analysis of evolutionary ideas about the development of startup projects in the global space from the standpoint of marketing, team-building, venture and innovative approaches. The directions of research on the formation of the startup environment are summarized: the construction of innovative business models, conditions for the creation of startup teams, the mechanism of venture investment of a startup, the implementation of startup solutions in the post-pandemic period of COVID-19. The author’s scheme for the implementation of projects in the startup format with the possibility of entering the stage of commercialization has been developed. The analysis of the forms of organization of startups in the form of small innovative enterprises in the educational environment is carried out, the dynamics of the development of startup ideas at the level of federal districts is presented. The key directions of support and development of startups in the educational environment are proposed – infrastructural, innovative, investment, partnership, economic, social. The results of the study can be used in updating strategic plans for the development of educational institutions as an additional source of investment profits and effective capital investments, as well as by executive authorities as an addition to the regional development strategy of the subject of the Russian Federation.

Alternative options for energy sector decarbonisation

The purpose of the work is to prove that the process of decarbonisation of energy industries has a different basis than the use of an alternative, “green” economy. It is shown that this feature is characteristic of countries endowed with resources, including Russia. For them, another option is possible to reduce the negative impact on the environment: reducing energy consumption in the economy. The article carried out an analysis, as a result of which the following ways to reduce energy costs in the economy were identified. Within the framework of the “circular economy”, lean production is considered as one of the ways to reduce energy consumption, and attention is also drawn to the construction of business models focused on the reuse of resources and waste recycling. In the direction of searching for new forms of management, new management models, diversification of production is highlighted, which is based on the rejection of narrow specialization and increased efficiency through the formation of new structures or functions of the enterprise. A significant role is assigned to the digital transformation of the electric power industry, since it provides ample opportunities to save resources by accelerating speed and improving the quality of information, new capabilities for production management, and the use of fundamentally new devices and tools.

Application of the data-driven concept in the management of medical organizations: Successful cases and steps for implementation in the Russian Federation

Aim. The presented study aims to create a business model of a medical institution where the data-driven decision-making concept is implemented.Tasks. The authors define the data-driven concept; analyze successful cases of implementation of the data-driven concept in various organizations, including medical organizations; identify the technical requirements of this concept; develop business models of budgetary and commercial medical institutions with the with the introduction of the data-driven concept.Methods. This study uses such research methods as description, theoretical and comparative analysis, construction of business models, and systematization.Results. The concept of the data-driven approach to managerial decision-making is explored. Excerpts from foreign analyses of this approach are presented. The authors provide examples of successful implementation of the data-driven concept in organizations operating in various fields, including marketing, management, and medicine. The cases of PJSC Sibur Holding, PJSC SberBank, Seoul National University Bundang Hospital, and Memorial Sloan Kettering Cancer Center are considered. Technical requirements for the implementation of the data-driven concept are indetified. The business models of budgetary and commercial medical institutions operating according to this concept are described and analyzed in detail.Conclusions. The scope of application of the data-driven approach in managerial decisionmaking is extensive: this concept can be successfully applied in marketing, management, and medicine. In most cases, the company’s field of activity does not limit the applicability of this management approach. However, the implementation of the data-driven concept in the organization’s management will inevitably lead to high financial and labor costs. The authors believe that this concept can be used to successfully manage budgetary and commercial medical institutions in Russia in view of the steps toward implementing the data-driven approach provided in this study. The introduction of data-driven management will allow medical institutions to develop a personalized approach to patients and increase the level of work efficiency.

EVOLUTION OF BUSINESS MODELS DURING THE COVID-19 PANDEMIC

Purpose - The purpose of this study is to propose a comprehensive definition for business models, reviews and summarizes the findings of a previous work by Guckenbiehl and Corral de Zubielqui (2022) about how business models have evolved by providing insights from reshaped businesses during the COVID-19 pandemic. Methodology - In this study, an extensive literature review is followed to learn about definition of business models and how business model have been adapted or even innovated during the times of the COVID-19 pandemic. Findings - Construction of a well-planned business model is a requirement for an organization to reach success. In the times of disruptive events, business models go through adaptive or innovative changes which is a necessity for survival and further success. It is observed that organizations generate different responses to crises (e.g., the COVID-19 pandemic) in means of business model changes. The understanding of these differences is facilitated by the aforementioned work through grouping organizations in six different clusters. Conclusion - The structure of a business model prior to the COVID-19 pandemic was also one of the determinants of a business’s response to the pandemic. Businesses either made no changes in their business models, or made notable innovations, or little adaptations in response to the disruptive environment. Keywords: Business models, adaptation, innovation, COVID-19, pandemic. JEL Codes: M10, M15, M20

New hybrid organizations creating bridges through innovative educational solutions: The case of Hilversum Media Campus, the Netherlands

Disruptive technologies and services created a new paradigm that changed the way media were created, threatening traditional media organizations. Many media companies have been challenged to respond to new types of media formats, productions and channels, for which they have needed new talents with the right skills and space to experiment. This paper presents the case of the Hilversum Media Campus (HMC) in the Netherlands, a hybrid organization created by a Triple Helix cooperation to develop the new talents necessary to maintain Het Media Park as an economic regional center and for the country’s media industry. This article reflects on the role of hybrid organizations as connection centers of actors, knowledge and interests; discusses the emergence of a new paradigm and its effects on the media sector; and reconstructs the history of the HMC, its conceptualization and structuring, its processes and the results achieved. In the case analysis, certain factors stood out with regard to the results achieved: the research into stakeholders’ ambitions and interests, which led to a defined strategy and targeted actions; the business model construction, with parties having to contribute financially; the allocation of means, bringing energy and focus to the supported deliverables; and the autonomy of the HMC.

Проблемы экономической устойчивости нефтесервисных компаний в условиях высокотурбулентной среды.

The article discusses specific features of oilfield services company functioning as a part of Russian oilfield services which are the driver of Russian oil-and-gas industry. The key features of the formation of the Russian oilfield services market are noted as follows: a short time of formation in comparison with evolution of the worldwide oilfield services market and high turbulence of the business environment together with characteristic sighs of the oilfield services companies such as high degree of innovation and advanced management. The purpose of study is justification of influence factors and key risks for sustainable economic development of oilfield services company under dynamically changing external conditions. The main theoretical ideas about the construction of business models of the company are analyzed and the definitions of such basic terms as sustainability and sustainable development are considered. The oilfield services company definition as an open complicated industrial and economic system with multilevel internal links was done. The possibility of applying classical concepts of the theory of stability of economic systems to oilfield services market objects is estimated. The key factors are identified and the effects of the external economic environment are generalized, the assessment of the possibility of using various types of well-known business models for the oilfield services company is given. The characteristic features of the oilfield services business are analyzed as follows: advanced technological level of production, innovation and unique competencies of staff from the view of ensuring competitive advantages between the oil-and-gas industry and identified risk-factors of the sustainable development. It’s identified that the economical efficiency of the oilfield services company business models is provided by its opportunities in the external environment and the internal unique production resources, ability to adapt for changes, flexibility of management systems, dynamic information integrity, contractual capacity and high level of management responsibility.

Two-Lenses Model to Unfold Sustainability Innovations: A Tool Proposal from Sustainable Business Model and Performance Constructs

This research combines corporate sustainability performance and sustainable business model concepts to improve the corporate sustainability of organizations. The main objective of this article is to propose and apply a tool to identify sustainable innovation opportunities through a structured brainstorming process while providing a systemic business perspective and a strong multi-stakeholder orientation. The present qualitative research was carried out in two phases. The first phase consisted of a critical analysis of literature that enabled the proposition of the Two-Lenses Model (2LM) for sustainability innovation. The corporate sustainability performance lens encompasses strategic drivers, business processes, capabilities, stakeholders’ satisfaction and contributions. The sustainable business models lens considers value proposition, value creation and delivery system and value capture and sharing. The second phase consists of applying the 2LM in two industrial cases. The results show that the proposed model has the potential to trigger the identification of opportunities through two mechanisms: misalignments between performance dimensions and gaps in stakeholder satisfaction. Further research opportunities lie on deepening into these findings and investigating the implementation process for the identified innovation opportunities.

IDENTIFICATION OF DIRECTIONS OF CHANGE IN BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES DURING THE COVID-19 PANDEMIC

A basic aim of the study is to discuss the change in the business models architecture of high-growth enterprises during the COVID-19 pandemic. In the stream of theoretical research, consideration was given to the interpretation of the essence of the business model and its features, which will allow to know the conceptual assumptions of business model construction and to describe the essential components of its architecture. Empirical research on the change in the structure of business models of high-growth enterprises was based on data obtained from a survey conducted on a group of 150 enterprises of this type in Poland. Identification of the direction of change was made by comparing the results obtained from a study on the construction of business models of high-growth enterprises conducted in 2019 to the results of a study identical in terms of scope and participants conducted in 2021 during the COVID-19 pandemic. On this basis, the research hypothesis assuming that changes in the business models of high-growth companies, occurring during the COVID-19 pandemic, did not affect the fundamental reconstruction of their architecture, was positively verified.

Business Model Construction from Dynamic Capabilities Perspective

The construction of the business model is to shape the structure of various activities in the plate according to the task attributes and task objectives of each section in the business model. The Dynamic Capabilities of the enterprise determine the result of the construction of the business model, and its strength also affects the adaptation and operation of the business model institutions to the new business model. Enterprises with strong Dynamic Capabilities have a good execution ability in the business model architecture, and can also quickly adapt to the structural framework of changing their business model, and improve the feasibility of the actual operation of the business model. This paper will be in the framework of the Dynamic Capabilities theory, the construction of business model, through the case from model construction, design innovation to the coordinated operation of the new model, concluded that the two have a strong interaction, including the enterprise higher-order Dynamic Capabilities has a strong positive influence on the choice of business model, construction and application.

Business Model Construction from Dynamic Capabilities Perspective

The construction of the business model is to shape the structure of various activities in the plate according to the task attributes and task objectives of each section in the business model. The Dynamic Capabilities of the enterprise determine the result of the construction of the business model, and its strength also affects the adaptation and operation of the business model institutions to the new business model. Enterprises with strong Dynamic Capabilities have a good execution ability in the business model architecture, and can also quickly adapt to the structural framework of changing their business model, and improve the feasibility of the actual operation of the business model. This paper will be in the framework of the Dynamic Capabilities theory, the construction of business model, through the case from model construction, design innovation to the coordinated operation of the new model, concluded that the two have a strong interaction, including the enterprise higher-order Dynamic Capabilities has a strong positive influence on the choice of business model, construction and application.