Model Transformation Research Articles

Leading digital business model transformation in the K-pop industry: the case of SM Entertainment

ABSTRACT Despite the role of digital technologies in increasing the popularity of K-pop, little is known about how K-pop entertainment companies digitally transform their business models and the driving forces that shape this transformation. In this study, we present an in-depth case study of a pioneering K-pop entertainment company, SM Entertainment, whose founder’s charismatic leadership and organizational capabilities contribute to the digital transformation of its business model through market-pioneering strategies and strategic learning derived from continuous interactions with changing business environments. This transition to the digital business model ultimately leads to sustainable competitive advantages in the marketplace. The important theoretical and practical implications of the findings are discussed.

Preclinical study of diabetic foot ulcers: From pathogenesis to vivo/vitro models and clinical therapeutic transformation.

Diabetic foot ulcer (DFU), a common intractable chronic complication of diabetes mellitus (DM), has a prevalence of up to 25%, with more than 17% of the affected patients at risk of amputation or even death. Vascular risk factors, including vascular stenosis or occlusion, dyslipidemia, impaired neurosensory and motor function, and skin infection caused by trauma, all increase the risk of DFU in patients with diabetes. Therefore, diabetic foot is not a single pathogenesis. Preclinical studies have contributed greatly to the pathogenesis determination and efficacy evaluation of DFU. Many therapeutic tools are currently being investigated using DFU animal models for effective clinical translation. However, preclinical animal models that completely mimic the pathogenesis of DFU remain unexplored. Therefore, in this review, the preparation methods and evaluation criteria of DFU animal models with three major pathological mechanisms: neuropathy, angiopathy and DFU infection were discussed in detail. And the advantages and disadvantages of various DFU animal models for clinical sign simulation. Furthermore, the current status of vitro models of DFU and some preclinical studies have been transformed into clinical treatment programs, such as medical dressings, growth factor therapy, 3D bioprinting and pre-vascularization, Traditional Chinese Medicine treatment. However, because of the complexity of the pathological mechanism of DFU, the clinical transformation of DFU model still faces many challenges. We need to further optimize the existing preclinical studies of DFU to provide an effective animal platform for the future study of pathophysiology and clinical treatment of DFU.

Finite Element Analysis of Upper Limb Splint Designs and Materials for 3D Printing.

Three-dimensional (3D) printed splints must be lightweight and adequately ventilated to maximize the patient's convenience while maintaining requisite strength. The ensuing loss of strength has a substantial impact on the transformation of a solid splint model into a perforated or porous model. Thus, two methods for making perforations-standard approach and topological optimization-are investigated in this study. The objective of this research is to ascertain the impact of different perforation shapes and their distribution as well as topology optimization on the customized splint model. The solid splint models made of various materials have been transformed into porous designs to evaluate their strength by utilizing Finite Element (FE) simulation. This study will have a substantial effect on the designing concept for medical devices as well as other industries such as automobiles and aerospace. The novelty of the research refers to creating the perforations as well as applying topology optimization and 3D printing in practice. According to the comparison of the various materials, PLA had the least amount of deformation and the highest safety factor for all loading directions. Additionally, it was shown that all perforation shapes behave similarly, implying that the perforation shape's effect is not notably pronounced. However, square perforations seemed to perform the best out of all the perforation shape types. It was also obvious that the topology-optimized hand splint outperformed that with square perforations. The topology-optimized hand splint weighs 26% less than the solid splint, whereas the square-perforated hand splint weighs roughly 12% less. Nevertheless, the user must choose which strategy (standard perforations or topology optimization) to employ based on the available tools and prerequisites.

Transformation of Mathematical Model for Complex Object in Form of Interval Difference Equations to a Differential Equation

Mathematical models of complex objects in the form of interval difference equations are built on the basis of the obtained experimental interval data within the limits of the inductive approach. At the same time, interpretation of physical properties of the object on the base of such model is complex enough. A method of transformation of a mathematical model in the form of interval differential equations was proposed in the article. The proposed method is based on the formulas for representing the values of the function at the node of the difference grid in the Taylor series in the neighborhood of the base node, as well as the differential representation of the derivatives in the same neighborhood. The developed approach creates opportunities for the identification of interval models of complex objects based on the analysis of interval data with further interpretation of the physical properties of the modeled object according to the classical scheme.

The role of leadership in transforming the business model

The relevance of the study is determined by the role of the leadership and the management team as a whole in ensuring the success of the company. We live in an ever-changing world, and every day brings new challenges for organizations. Organizations are obliged to face these challenges, to demonstrate competitiveness, to adapt permanently to those changes that occur in the external environment. We argue in this study that there are no single recipes. The nature of the change must be adjusted to suit the situation. The last decade has required organizations to transform, in the short term, even their business model in order to survive. The purpose of this paper is to highlight the need to achieve business transformation under the pressure of the internal and external environmental factors in which the company operates. In this sense we set out to analyse what business transformation presents and what is the interdependence with "business improvement", what are the types of business transformations. We argue the important role of leadership in the success of business model transformation. The research is carried out based on the study of the relevant bibliographic sources in the field, as well as the experience in the field of business management of the doctoral student.

Business model transformation during the COVID-19 pandemic - example of the automotive industry

This article explores the impact of the COVID-19 epidemic on the business models of automotive-sector organizations, specifically authorized passenger car dealerships in Poland. The research aims to determine how business models were transformed during the pandemic. The research methods used include a literature review and opinion polls. The article begins by discussing the significance and evolution of business models and changes in the automotive sector. The results focus on how the pandemic brought about change in business models in the automotive sector, and the conclusion includes information as to limitations and further areas of study.

Mapping the Landscape of Psychological Contract Literature: A Scopus-Based Bibliometric Analysis

The employment relationship between employees and organizations has changed with the advent of the knowledge economy era in the 21st century and the transformation of economic models. Psychological contracts are significant in understanding the employment relationship between employees and organizations. More and more scholars began to focus on psychological contracts. Therefore, the systematic arrangement of psychological contract literature is meaningful. This study used bibliometrics to review 2,097 articles and conference papers from psychological contracts. The Scopus database is the source of literature collection in this study. This study used VOSviewer and Microsoft Excel for the bibliometric analysis of these documents. Firstly, this study summarized the temporal trends and primary sources of psychological contracts. This study found an exponential increase in publications and a Matthew effect in sources of psychological contracts. Secondly, eight major co-authorship groups were found and discussed the significant contributions made by these scholars to psychological contract theory. Thirdly, this study also analyzed the countries, affiliations, funding sponsors, and subject areas of the psychological contract. Finally, the hot topic of psychological contracts and suggested future research were discussed. This study systematically summarized the literature on the psychological contract and future research direction.

The role of digital companies in the transformation of the Russian economic model

Subject. The article deals with the transformation of the Russian economic model. Objectives. The purpose is to test the hypothesis about the impact of companies generating high added value (digital companies) on the economic model of the country. Methods. The study rests on general scientific principles and research methods, like abstraction, generalization of approaches of domestic and foreign authors to industrial policy, and the economic analysis. Results. I analyzed characteristic features of companies operating in industries with high and low generated added value, offered a five-stage methodology for assessing the key characteristics of companies. At the first stage, the production function of companies is investigated to determine the impact of the return on the resources involved and the presence of a multiplicative effect on the scale of the country's economy. At the second stage, the indicators of volatility, growth, marginality are analyzed to determine the impact of these characteristics on the dynamics of GDP. At the third stage, indicators of investment and innovation activity are calculated to assess their impact on the level of investment in the economy. The fourth stage is devoted to the analysis of the financial activities of companies, including their ability to attract external equity and debt capital, and to the evaluation of the distribution policy, which enables to conclude on company’s ability to attract resources for development. At the fifth stage, the capitalization rate and expected rate of profit growth of companies are evaluated to assess their investment attractiveness. Conclusions. The calculations performed on the basis of financial and non-financial statements of PAO MMC Norilsk Nickel and Yandex for 2022 lead to the conclusion that companies in industries generating high added value (digital companies) provide a multiplier effect, contribute to accelerating economic growth, increasing competitiveness, and improving the country's economic model. However, for the sustainable development of these companies, an industrial policy is needed to support and stimulate them.

Image detail enhancement of nanocomposites based on deep convolution neural networks

Research on the image detail enhancement algorithm of nanocomposites can better improve the image quality of nanocomposites and facilitate researchers to understand the structural characteristics of materials. Due to the problems of low image quality and difficulty to retain the details of traditional nanocomposite image details enhancement algorithms, a new nanocomposite image details enhancement algorithm based on deep convolution neural networks (DCNN) is designed. Through histogram equalization, linear gray-scale stretching and median filtering, the image of nanocomposite is preprocessed, and then FCM algorithm is used for edge detection and image segmentation. Using color model transformation algorithm and DCNN, an image detail enhancement model including feature extraction and nonlinear mapping is constructed. Finally, the idea of image detail reconstruction is introduced, and image detail reconstruction is realized through a convolution layer. The results show that compared with the experimental comparison algorithm, the image processed by the proposed algorithm contains more detailed information and has higher image quality. The PSNR value reaches 27.1 dB, which indicates that the nanocomposite image has a better detail enhancement effect and can be widely used in the field of nanocomposite analysis and research.

Metaverse meets digital entrepreneurship: a practitioner-based qualitative synthesis

PurposeConsidering the pervasiveness of technology, this article offers an understanding of how the metaverse can impact digital entrepreneurship. The objective will be to gather professional evidence on how the revival of this new technology can bring entrepreneurial development.Design/methodology/approachThrough a qualitative study approach based on applying the metaverse in digital business contexts and analysing 533 practitioner sources from the Nexis Uni database, it will be possible to identify the concepts and application techniques of this emerging technology. The research adopts a qualitative methodology based on a mixed thematic and content review using tools such as ATLAS.ti and Leximancer.FindingsThis study finds three relevant macro-topics for metaverse and digital entrepreneurship (technology, immersive and design) and eight concepts (private solutions, digital twins, gamification, public solutions, new business worlds, co-design, collaborative spaces and stakeholders' participation). The uncovered elements demonstrate professionals' interest in a new mode of digital entrepreneurship using the metaverse. This interest highlights the commitment of companies and entrepreneurs toward discovering new services delivered in virtual and parallel worlds that find the creation of digital twins as their essence. Therefore, the study explores ongoing relationships for developing increasingly technically complex metaverse platforms and customer service offerings.Research limitations/implicationsThe study has some limitations as the selection of the database and the way the cases are focused on, which may be a stimulus for future studies. The analysis has innumerable theoretical and practical implications. In the first case, this research will shed light on an empirical case concerning the conceptual difference between innovation or greater transformation of business models through the metaverse. This work will directly contribute to the global discussion by identifying a model for applying emerging technology to digital entrepreneurs. Finally, from a practical point of view, the authors will provide new insights to digital entrepreneurs by showing them applications, best practices, and platforms they can use for their businesses.Practical implicationsOn a practical level, the authors show practical opportunities coming from the metaverse for digital entrepreneurs. This study may inspire CEOs, managers, and future entrepreneurs to use the metaverse to expand their businesses by diversifying their services into numerous sectors.Originality/valueTo the best of the authors' knowledge, this study represents one of the first efforts to study the metaverse by framing it from theoretical and practical perspectives of digital entrepreneurship. Additionally, future research implications may guide researchers in this brilliant research field.

From open business model to ecosystem business model: A processes view

A central and underexamined phenomenon in the growing literature on business models is: how firms pursuing platformization transform their open business models to create an ecosystem-based business model and ecosystem business model. While an open business model focuses mainly on searching and integrating external knowledge to address key aspects of a firm's value proposition and offerings, an ecosystem-based business model refers to how a firm adjusts the critical components of its business model according to its position, role, and links in the ecosystem. However, an ecosystem business model involves activities and offerings from ecosystem actors that should be aligned to materialize a general value proposition. This platformization requires a profound yet little understood view on how firms transform business models through cognitive and managerial processes. To address this research gap, we employ a multiple-case study approach in four large firms. This study identifies a new business model transformation process consisting of three phases: 1) broadening view, 2) integrating, and 3) orchestrating. Our findings contribute to the literature by demonstrating the unique cognitive and managerial processes related to shaping the emergence of the ecosystem business model while simultaneously transforming the firm's business model to operate in ecosystems.

Semantics analysis model based on deep learning for vessel traffic service application

AbstractVessel Traffic Service (VTS) significantly improves the navigation efficiency of ports. This paper proposes a model called Joint Extraction of Triples from the VHF Speech (JER‐VHF) to ensure the efficiency of the VTS. Numerous texts are extracted from the Very High Frequency (VHF) speech communication contents and these texts are organized into a dataset named VHFDT. The proposed model's transforming task transforms the voice communication contents of this dataset into a triple representation. VHFDT has a large number of overlapping triples. Therefore, this paper proposes a combined model with three categories to model the entity relations in VHF sentences, including pre‐training Chinese language model for initializing embedding from VHFDT, BiLSTM for rich features, and Multi‐head Attention for focusing on triples. In experimental part, this study uses Precision(P), Recall(R), and F1 to evaluate the accuracy and effectiveness of the proposed method and baseline models. According to experimental results, the proposed model efficiently extracts the key information from complex language environment and achieves better work on relational triple extraction than other baseline models. The model achieved an F1‐score of 83.2% on the overlapping testing data, which is an improvement of 1.8% compared to the second‐best baseline model.

Assessing the value of ontologically unpacking a conceptual model for human genomics

Although the knowledge about human genomics is available to all scientists, information about this scientific breakthrough can often be difficult to fully comprehend and share. A Conceptual Schema of the Human Genome was previously developed to assist in describing human genome-related knowledge, by representing a holistic view of the relevant concepts regarding its biology and underlying mechanisms. This model should become helpful for any researcher who works with human genomics data. We, therefore, perform the process of ontological unpacking on a portion of the model, to facilitate domain understanding and data exchange among heterogeneous systems. The ontological unpacking is a transformation of an input conceptual model into an enriched model based on a foundational ontology. The preliminary analysis and enrichment process are supported by the ontological conceptual modeling language OntoUML, which has been applied previously to complex models to gain ontological clarity. The value of the used method is first assessed from a theoretical point of view: the transformation results in significant, diverse modeling implications regarding the characterization of biological entities, the representation of their changes over time, and, more specifically, the description of chemical compounds. Since the ontological unpacking process is costly, an empirical evaluation is conducted to study the practical implications of applying it in a real learning setting. A particularly complex domain such as metabolic pathways is either described by adopting a traditional conceptual model or explained through an ontologically unpacked model obtained from a traditional model. Our research is evidence that including a strong ontological foundation in traditional conceptual models is useful. It contributes to designing models that convey biological domains better than the original models.

Ballet in Virtual Reality: On the Problem of Synthesizing “End-to-End” Technologies and Theatrical Stage Art

The article is devoted to the study of the problem of synthesizing “end-to-end” technologies and theatrical (stage) art. The author proceeds from the fact that in the era of industrialization, a person’s perceptual practices are carried out through the prism of a new, generative reality, which, consequently, causes the transformation of the spatial-temporal model of aesthetic experience. However, the artist as the creator of a work of art, having a special sensitivity to reality, can see what may be inaccessible to his audience. The hypothesis is put forward that this ability is based on a simultaneous perception of time and space, the fundamentalization of which in the perceptual practice and aesthetic experience of the viewer is the main task of a modern artist. The verification of this hypothesis was carried out through the prism of the synthesis of virtual reality as an “end-to-end” digital technology and stage (choreographic) art, where time and space become the subject of artistic reflection. The methodological foundation of the research is based on a discursive analysis, which allows us to understand, firstly, how modern stage (choreographic) digital art offers the viewer to make a path on his own, with a “previously passed meaning” and with the help of his already existing perceptual experience; secondly, how the artist, as the creator of a work of digital art, builds and carries out a “conversation” with the viewer through the prism of the simultaneous communicative space initiated by him. The author emphasizes that a modern artist, regardless of his/her role in art, must have the skill of discursive analysis to be able to create a communicative space in which the viewer will be able to gain perceptual experience and independently “realize” the temporal-spatial mega-code, and understand the idea of the artist, regardless of how much it is hidden from the audience. In turn, the ability to discursive analysis of the viewer will allow you to collect and disperse meanings, transform them, return them to their original state and let them go back into the element of the game of signifiers, offering yourself to overcome the path in the semantic landscape of the work of theatrical (stage, choreographic) art.

Business Model Innovation in Manufacturing Firms: Exploring the Driving Forces of Digital Transformation

The adoption of digital technology has become a critical factor in the context of innovation management. The process of digital transformation leads to the realization of concrete business improvements that promote the innovation of entire business models. So far, it has remained unexplored what drives this business model innovation, especially when looking at digitally savvy firms from the manufacturing industry. This study aims to identify the key drivers of digital transformation of business models based on a systematic literature review. A four-step review approach draws on the findings from a core sample of 51 articles from two databases and results in the description of four key drivers for digital transformation of business models, namely ubiquitous connectivity, functional dematerialization, relational decentralization, and flexible scalability. Finally, a conceptual framework of four digital business model archetypes (lighthouse supplier, service enthusiast, data scientist, and platform owner) is proposed that considers a manufacturing firm’s business model exposure to the identified digital transformation drivers. While this study is limited to theoretical findings, it likewise provokes valuable follow-up thoughts for empirical academic work and practitioners from the manufacturing industries.

Business model transformation: what is known and what is to be further developed?

PurposeThe paper presents a systematic literature review on business model transformation (BMT). The aim of the study is to determine the main research streams in BMT literature, develop a conceptual model on BMT research, and identify potential directions for future research.Design/methodology/approachThe authors use systematic literature review approach and provide a detailed protocol to meet reliability requirements. The study is based on the multilayer in-depth analysis of 92 articles published in leading international journal in general management, international business, strategy, innovation, and organization studies.FindingsThe paper identifies a crucial importance of further research on BMT with regards to the context specificity of a company's country of origin, transformation of value delivery and value capture blocks of BMs, entrepreneurial techniques of BMT management, and international aspects of BMT.Originality/valueBy a means of systematic literature review, the paper envisages the current state of knowledge about BMT, traces the development of BMT research, classifies it, and identifies potential directions for future inquiries.

Modeling description of interface shear deformation: A theoretical study on damage statistical distributions

The shear constitutive model is important for the analysis of the interface shear deformation mechanism. In this study, five statistical distributions, including four that have never been applied in interface shear deformation, are introduced to describe the damage evolution of the interface. The corresponding statistical damage constitutive models are developed, and they have been validated using a series of experimental data (both laboratory and in-situ tests) at the rock-concrete interface. The comparison results with laboratory data show that the Mitscherlich model has the lowest prediction accuracy. By comparing with in-situ data, the Weibull model shows the best-predicted performance. Based on the Akaike information criterion metric, the Morgan-Mercer-Flodin (MMF) model performs much better than the other models in the laboratory tests, which indicates the MMF model can be introduced for a comprehensive analysis of interface shear deformation. In addition, the similarities between the MMF model and the Weibull model are found through the canonical transformation of the MMF model. And the analysis of the two unknown parameters of the MMF model shows that they are related to the yield characteristics and strength characteristics of the interface, respectively. Based on the damage variable evolution, the shear deformation of the interface can be divided into three phases, i.e., damage initiation phase, damage acceleration phase and damage slowing phase. And the parameters of the MMF model have an important influence on the damage variable curves.

The Upgrade Path Based on the Transformation of the New Retail Model of the Decentralized Data Center in the Mobile Internet Era

The Upgrade Path Based on the Transformation of the New Retail Model of the Decentralized Data Center in the Mobile Internet Era

Logistics business model evolution: digital platforms and connected and autonomous vehicles as disruptors

Business models are being transformed by increasing digitalization of the economy and the emergence of technological systems. In logistics, through innovation and the implementation of information processing systems using digital platforms and the integration of Connected and Autonomous Vehicles (CAV), the transformation of business models is being bolstered. However, the digitalization of the business fabric and the predisposition to integrate into logistics platforms will condition business evolution. This paper aims to reveal the evolutionary trends in the business models of companies in the road freight transport sector, and also to outline the benefits and main barriers faced by managers in creating, delivering, and capturing value in a business environment characterized by the emergence of new business models, digital logistics platforms and CAVs. Through qualitative research based on interviews with strategy managers and senior executives from mobility and technology companies, the findings reveal the importance of business integration on digital platforms to optimize resources and deliver better services. By managing aggregated data from CAVs, digital platforms will enable personalized and comprehensive services through omni-channel delivery. By creating single interfaces for contracting, customer care and customer service, platforms enable companies to specialize in specific services and increase profitability while covering complete needs through cross-company collaborations.

Milestones for changing the model of scientific-technological development of Russia and overcoming the crisis, by Academician D. S. Lvov

Objective: to determine the vector of changes for Russia’s recovery from the crisis and transformation of the innovation model in the context of trends of the 4th scientific and technological revolution. To this end, it is necessary to identify internal systemic problems that have worsened under the influence of sanctions and hinder the country’s scientific and technological development.Methods: the system analysis of phenomena and processes in the scientific, technological and socio-economic spheres is based on the methodological approach by Academician D. S. Lvov to the study of Russia under reforms as a precursor of the systemic economic paradigm developed under the guidance of G. B. Kleyner, a corresponding member of the Russian Academy of Sciences.Results: a decline in the economy, science and social sphere has been revealed, as was predicted by Academician D. S. Lvov, in case the problems of the transition period are not solved. The essential obstacles are revealed, which hinder both the country leaving the bifurcation point and economic growth based on intellectual factors and advanced technologies. Statistics are presented demonstrating the obsolescence of industrial equipment, the reduced investment in the knowledge economy, the stagnation of innovative activity of organizations, and the worsening social imbalances. Based on the analysis results, the conclusions of D. S. Lvov and other scientists and specialists, guidelines are proposed for changing the model of scientific and technological development; the leading directions for changing the state policy are given. Conclusions and recommendations refer to the fundamental factors not only of the model of scientific and technological development, but also of the economic model as a whole.Scientific novelty: consists in a new format of an approach to the formulation of the problem of scientific and technological development of the Russian Federation and its solution through the prism of D. S. Lvov’s scientific heritage. Provisions of his teaching are actualized and their relevance for contemporary еconomy is substantiated in relation to identifying a crisis situation similar to the current one in scale and influence, as well as to determining the ways out of the crisis.Practical significance: the results of the study can become the basis for expanding the system of knowledge within the problem of scientific and technological development, as well as be used in the practical activities of public authorities to develop solutions for crisis management of the economy.