Transformation Model Research Articles

How digital transformation enhances corporate innovation performance: The mediating roles of big data capabilities and organizational agility

Digital transformation has emerged as a key driver of high-quality enterprise development and an essential tool in forging an innovation-driven paradigm.Existing studies fail to delve into the specific mechanisms of their impact on firms' innovation performance, and views on their impact are divergent. Some studies suggest that digital transformation can enhance innovation performance, while others point out that it may have negative impacts, and cannot clearly answer how big data capabilities and organisational agility play a role in the digital transformation process. Therefore, based on dynamic capability theory and systems engineering theory, this study adopts the logical framework of "strategy-behaviour-performance" to systematically explore the process of digital transformation that enhances firms' innovation performance through the enhancement of big data capability and organisational agility. By empirically analysing the survey data of 476 manufacturing enterprises in China, the study reveals the chain-mediated effects of big data capability and organisational agility, and confirms the key roles of both in the transformation process. The findings suggest that digital transformation significantly improves firms' innovation performance, and that the dual mediating effects of big data capability and organisational agility are important links in its influencing mechanism. These findings not only provide empirical support for the theoretical model of digital transformation, but also provide practical guidance for enterprises to formulate strategies and optimise resource allocation in the digital era. We suggest that enterprises should strengthen the cultivation of big data capabilities and organisational agility while promoting digital transformation to better adapt to and lead market changes.

Generalized div-curl based regularization for physically constrained deformable image registration

Variational image registration methods commonly employ a similarity metric and a regularization term that renders the minimization problem well-posed. However, many frequently used regularizations such as smoothness or curvature do not necessarily reflect the underlying physics that apply to anatomical deformations. This, in turn, can make the accurate estimation of complex deformations particularly challenging. Here, we present a new highly flexible regularization inspired from the physics of fluid dynamics which allows applying independent penalties on the divergence and curl of the deformations and/or their nth order derivative. The complexity of the proposed generalized div-curl regularization renders the problem particularly challenging using conventional optimization techniques. To this end, we develop a transformation model and an optimization scheme that uses the divergence and curl components of the deformation as control parameters for the registration. We demonstrate that the original unconstrained minimization problem reduces to a constrained problem for which we propose the use of the augmented Lagrangian method. Doing this, the equations of motion greatly simplify and become managable. Our experiments indicate that the proposed framework can be applied on a variety of different registration problems and produce highly accurate deformations with the desired physical properties.

The missing link between digital transformation and business model innovation in energy SMEs: The role of digital organisational culture

Increasing levels of competitiveness and intensified efforts to source energy from renewable sources, as well as growing pressure to implement green solutions, are challenging the effectiveness of conventional business models in the energy sector. Previous research on the processes of change in the energy sector highlight the necessity to implement business model innovations supported by digital transformation solutions. It is also clear that the process of implementation, particularly for SMEs, is associated with a high risk of failure. Based on research linking organisational culture and digitalisation, this article aims to explain how digital culture mediates the relationship between digital transformation and business model innovation in energy companies in Central and Eastern Europe (CEE) countries. The results suggest that the limited direct impact of digital transformation on business model innovation in energy companies is realised indirectly through digital organisational culture, indicating the importance of digital organisational culture in successful business model transformation.

Enhancing Transformative Competencies through the Internalization of Religious Moderation: A Vision for Islamic Boarding School's Educational Framework in 2030

Extremism, radicalism, hate speech, and even the rupture of inter-religious ties, are problems facing the Indonesian nation today. Al-Hikam as one of the boarding schools able to survive in those problems, by encouraging religious moderation. This study aims to explore the process of internalizing the value of religious moderation in Al-Hikam Islamic boarding schools and analyze the realization of transformative competencies in the process. An instrumental case study design was chosen for this research. Observation and in-depth interviews were conducted to obtain data. The results showed that there were 3 models of value transformation, verbal, symbolic, and written. The methods of imparting values are carried out in two ways, namely providing standardized sources of accurate information and structured practices through pesantren programs and activities. The internalization process is formed through joint service activities involving various elements of the moderation agency. This study arrived at the theoretical finding that maximizing the function of co-agency in pesantren consisting of the Kyai board, teachers, peer colleagues, and santri guardians at the transaction stage, is effectively facilitates the internalization of values by the agents (santri) of religious moderation obtained at the transformation stage into an inherent identity, namely moderate humans. This achieved identity also brings students to achieve transformative competencies: creating new values, reconciling tensions and dilemmas, and taking responsibility.

Product Development and Design Framework Based on Interactive Innovation in the Metaverse Perspective

Based on the theory of user needs and the product development mode and framework of mobile Internet interactive innovation, a new “reality → virtual → reality” interactive innovation product development mode is constructed. It draws on the unique characteristics, systematic technical system, and comprehensive scientific and technological layout of the Metaverse. On this basis, a framework for product development and design based on interactive innovation from the Metaverse perspective is innovatively proposed. In the Metaverse scenario, interactive innovation knowledge can be easily and effectively transformed into design knowledge, and all groups of users truly participate in the whole process of product design. Moreover, the development of interactive innovative products in the Metaverse scenario can be combined with artificial intelligence (AI) technology to further automate the statistical analysis of user needs and preferences so as to meet the dynamic needs of users and accurately develop products that fit user needs and enterprise standards. In addition, users, designers, and enterprises can make joint decisions on product design solutions and development forms, and the Metaverse technology can also optimize the products with continuous iteration and obtain the optimal solutions. An automotive case study illustrates the feasibility and effectiveness of the model for product development innovation and enterprise digital transformation.

Strategic Development for a Sustainable Future: Kau Yi Chau Artificial Island Project

The Kau Yi Chau Artificial Island (KYCAI) project is a landmark initiative aimed at addressing Hong Kong's critical land shortage while enhancing its global competitiveness and fostering sustainable development. Situated between Hong Kong Island, Kowloon, and Lantau Island, the project incorporates innovative strategies to balance environmental, social, and economic considerations. Environmental concerns like biodiversity preservation and carbon footprint reduction are tackled through low-carbon building materials, renewable energy, and sustainable transportation. Social justice is promoted by equitable stakeholder engagement, employment opportunities, and fair access to resources. Leadership styles, including transformational and collaborative models, are key to achieving these sustainability goals through effective stakeholder mobilization. The project stands as a testament to strategic planning and collaborative efforts in sustainable urban development, offering valuable insights into balancing environmental, social, and economic goals.

SOCIAL TRANSFORMATION IN RUSSIA IN THE 1990S: PROBLEMS AND PERIODIZATION OF THE FORMATION OF SOCIAL POLICY

The article analyzes the problems and periodization of the formation of social policy in Russia in the 1990s. After the collapse of the USSR, the abandonment of the socialist path of development and a sharp turn towards the capitalist path, expressed in radical market reforms, the Russian state, which began to copy and transfer the experience of developed Western countries to Russian realities, faced a dual task - to form an economic policy based on market principles and, again based on the experience of Western countries, a new social policy. Western states are not unanimous on social issues, but social policies are formed and implemented by all. There are three basic models of it, in which the participation of the state in the implementation of social tasks is outlined in different ways. However, the Russian authorities are faced not so much with the problem of choosing an appropriate model, but with the problem of adapting the state’s social obligations to the consequences of market transformations. The term “transformational model of social policy” even appeared in the scientific literature, indicating a state of transition, but it was not possible to unambiguously describe this term, since approaches to social transformation in different countries did not repeat each other. Moreover, the practice of transition to a market in Russia and other countries with a socialist background has shown different reactions to universal market laws and mechanisms. The Russian scenario turned out to be painful for the economy and social sphere. It was established that the social sphere was transformed in three stages, but none of them had a systematic and complete form. On this basis, we concluded that in Russia in the 1990s, social transformation laid some of the foundations for social policy. But it did not lead to the formation of social policy itself, which is incorrect to interpret as a certain sum of social measures, because any policy, including social policy, is usually understood as a mechanism developed by the state for regulating social relations, aimed at their harmonization.

Examination of Urban Transformation Implementation Legislation: Elazığ Example

In this study, it was aimed to examine and reveal the general results of the models applied in urban transformation works in Elazığ province after the 6.8 Mw Sivrice earthquake on January 24, 2020. The population of the research, Elazığ province sample, is Karşıyaka, Cumhuriyet, Abdullahpaşa, Mustafapaşa, Rüstempaşa, Sürsürü, Kızılay and Sivrice Country Gölbaşı Neighborhoods. The study is qualitative research in the form of a field study in terms of revealing the results of urban transformation implementation at the sample points. In this context, observation technique, interview technique, and documentary scanning technique were used in the descriptive analysis. General physical-structural characteristics of buildings in the observation technique; in the interview technique, 100 building owners and users' opinions about the buildings; In the documentary scanning technique, the reflections of literature information in practice are interpreted as a whole. In comparing the literature information, project technical documents obtained from the Ministry of Environment, Urbanization and Climate Change and Elazığ Municipality were used. As a result, the model to be chosen in the urban transformation process is an important parameter in the success of the application and reaching the desired goal. More qualified urban transformation applications will be achieved by reducing the problems that arise in public transformation projects, especially in determining the legislation, and by choosing the appropriate model for comprehensive transformation.

Multiclass Text Classification of Indonesian Short Message Service (SMS) Spam using Deep Learning Method and Easy Data Augmentation

The ease of using Short Message Service (SMS) has brought the issue of SMS spam, characterized by unsolicited and unwanted. Many studies have been conducted utilizing machine learning methods to build models capable of classifying SMS Spam to overcome this problem. However, most of these studies still rely on traditional methods, with limited exploration of deep learning-based approaches. Whereas traditional methods have a limitation compared to deep learning, which performs manual feature extraction. Moreover, many of these studies only focus on binary classification rather than multiclass SMS classification which can provide more detailed classification results. The aim of this research is to analyze deep learning model for multiclass Indonesian SMS spam classification with six categories and to assess the effectiveness of the text augmentation method in addressing data imbalace issues arising from the increased number of SMS categories. The research method used were Indonesian version of Bidirectional Encoder Representations from Transformers (IndoBERT) model and exploratory data analysis (EDA) augmentation technique to address imbalance dataset issue. The evaluation is conducted by comparing the performance of the IndoBERT model on the dataset and applying EDA techniques to enhance the representation of minority classes. The result of this research shows that IndoBERT achieves 91% accuracy rate in classifying SMS spam. Furthermore, the use of EDA technique results in significant improvement in f1-score, with an average 12% increase in minority classes. Overall model accuracy also improves to 93% after EDA implementation. This research concludes that IndoBERT is effective for multiclass SMS spam classification, and the EDA is beneficial in handling imbalanced data, contributing to the enhancement of model performances.

Structure of the modern city: context of the urban transformation

The article highlights the urgent issue of changes in urban planning structures in the process of development on the example of Ukrainian cities. The transformation of the city structure is one of its most dynamic properties in the process of its growth in space and time. Generalisation of the characteristic features of the development of historical cities makes it possible to identify typical models of their development and changes. The problems that arise in the process of transforming the urban planning structure of a modern city are very relevant today, as this process continues and is gaining momentum. The question is: how can innovative responses to complex problems are developed to help further optimal development and stop negative trends? The purpose of the publication is to reveal the essence of the processes of transformation of the modern city, divided by method, on the example of typical models in relation to the characteristics of certain periods of development of urban planning structures of both Western European cities and Ukrainian cities. Analysis and generalisation provide an opportunity not only to draw conclusions, but also to form a universal model as a basis for solving problems and to enable the modern city to improve the quality and comfort of its residents. The two ways of transforming the urban planning structure, according to certain periods of its development, described in the text of the article, provide an opportunity to structure and generalise dynamic processes on the example of both Western European cities and Ukrainian cities. Three typical models of urban transformation are distinguished by their characteristic features, according to the main historical periods, which make it possible to form a universal model as a basis for solving the problems of the modern city. Therefore, in order to improve the quality of life and comfort of residents, which is one of the sustainable aspects, all possible resources should be used in the process of creating a global integrated modern urban structure by combining all elements into a whole, capable of developing both today and in the future.

Impact of the Elementary School Heads Leadership Behavior on the Teacher’s Morale in School Districts of Pilar

The study focused on elementary school heads' leadership behaviors and their impact on teacher morale in Pilar's school districts, aiming to provide valuable insights into educational leadership dynamics. It outlines the objectives of analyzing leadership behavior, assessing teacher morale, determining impacts, identifying challenges, describing measures, and proposing a leadership model to address these issues comprehensively. The mixed-methods study used surveys and document analysis to examine how leadership behavior influenced teacher morale. Quantitative methods measured the impact on commitment and assessed various attitudes and challenges. Qualitative methods analyzed leadership behaviors reflected in OPCRF and described measures to address challenges. Findings indicate proactive leadership practices, contributing to positive teacher morale, yet challenges such as workload and communication gaps persist, indicating areas for improvement. Measures to address these challenges include embracing technology, fostering collaboration, and enhancing communication channels to create a supportive and conducive work environment. The proposed Adaptive Transformational School Leadership Behavior and Change Model integrates adaptive and transformational leadership theories, offering a holistic framework to address challenges and drive positive change within educational contexts. In conclusion, the study underscores the crucial role of school leadership in shaping teacher morale and organizational dynamics, highlighting the importance of supportive environments, effective communication, and targeted interventions to enhance educational outcomes and foster a conducive learning environment within Pilar's elementary schools.

Investigation on construction characteristics and indoor environmental quality of Fangcang shelter hospitals during the COVID-19 pandemic in Shanghai, China

Since the rapid spread of COVID-19 in late 2019, Fangcang shelter hospitals have become crucial components of urban healthcare facilities. However, there remains a lack of systematic research on the performance assessment of Fangcang shelter hospitals. This study evaluated the construction efficiency, facility allocation, and indoor environmental quality (IEQ) of 115 Fangcang shelter hospitals in Shanghai. Based on the Bidirectional Encoder Representations from Transformers (BERT) model, 51,040 social media reviews were processed to evaluate the prevalence of IEQ complaints. The results show that Fangcang shelter hospitals renovated from exhibition halls have the fastest median construction speed (58.2 bed/h), closely followed by office buildings (41.7 bed/h), while containers were the slowest (9.1 bed/h). Notably, there is a power function relationship between the bed capacity and construction speed (R2 = 0.81), indicating a scale effect. As for the indoor environment, toilet comfort issues comprise 31.2 % of the total complaints, followed by complaints about acoustics (22.8 %), hygiene (12.0 %), and thermal (11.2 %). Container-built Fangcang shelter hospitals face significant challenges to the acoustic (40 %) and thermal (15 %) environment, while renovated facilities encounter more problems with toilet facilities and privacy. We also found that the proportion of indoor air quality (IAQ) issues increases as the average bed area decreases across facilities renovated from factories, exhibition halls, and office buildings. These findings offer valuable insights into Fangcang shelter hospitals, which can be considered in future planning and spatial optimization of emergency shelters.

Fault Line Selection Method for Power Distribution Network Based on Graph Transformation and ResNet50 Model

Fault Line Selection Method for Power Distribution Network Based on Graph Transformation and ResNet50 Model

Urban Transformation of the Dubrovnik Summer Villa Setting—From an Idyllic Landscape to an Overbuilt City

The landscape surrounding a summer villa is, in a morphological and experiential sense, an inseparable part of the villa and its garden. This research examines the level of preservation of the historic landscapes of eight summer villas in Dubrovnik and the level of their integration into the urban fabric of the contemporary city. The research methods used include the analysis of the relevant scientific literature as well as the analysis and interpretation of graphic materials, i.e., cadastral maps from the second half of the 19th century, orthophoto maps, and spatial planning documentation. In this paper, the immediate landscape in close vicinity to the summer villas is defined as the protective zone of a summer villa (PZSV). Although the original use and extent of the summer villa landscapes have rarely been preserved, it is possible to establish PZSVs in order to preserve, i.e., reinterpret, the setting of the summer villas, which is necessary to experience them in their totality. This research establishes the general principles that enable the identification of three general models of transformation of the summer villa landscape. Furthermore, this research develops possible scenarios for the enhancement of the summer villa landscape based on the identified models. These models and scenarios are generally applicable in the context of the protection and enhancement of the summer villa landscapes in of the south of Croatia.

A BERT-GNN Approach for Metastatic Breast Cancer Prediction Using Histopathology Reports.

Metastatic breast cancer (MBC) continues to be a leading cause of cancer-related deaths among women. This work introduces an innovative non-invasive breast cancer classification model designed to improve the identification of cancer metastases. While this study marks the initial exploration into predicting MBC, additional investigations are essential to validate the occurrence of MBC. Our approach combines the strengths of large language models (LLMs), specifically the bidirectional encoder representations from transformers (BERT) model, with the powerful capabilities of graph neural networks (GNNs) to predict MBC patients based on their histopathology reports. This paper introduces a BERT-GNN approach for metastatic breast cancer prediction (BG-MBC) that integrates graph information derived from the BERT model. In this model, nodes are constructed from patient medical records, while BERT embeddings are employed to vectorise representations of the words in histopathology reports, thereby capturing semantic information crucial for classification by employing three distinct approaches (namely univariate selection, extra trees classifier for feature importance, and Shapley values to identify the features that have the most significant impact). Identifying the most crucial 30 features out of 676 generated as embeddings during model training, our model further enhances its predictive capabilities. The BG-MBC model achieves outstanding accuracy, with a detection rate of 0.98 and an area under curve (AUC) of 0.98, in identifying MBC patients. This remarkable performance is credited to the model's utilisation of attention scores generated by the LLM from histopathology reports, effectively capturing pertinent features for classification.

Embedding sustainability in local welfare systems: bottom-up contributions from social workers and care professionals in public and third sector organisations

ABSTRACT Sustainability, and how it may be embedded in welfare systems and services, is a much-debated topic in social work studies, with implications for the role that social workers and other care professionals play in this process. Analysing a local welfare system, this paper investigates professionals’ experiences of the organisational dimension of social services, and potential factors supporting a service redesign informed to sustainability. Professionals’ perspectives on sustainability, and their views on structural factors, barriers and methodological tools influencing the establishment of sustainable service networks, are explored. Data is drawn from a study exploring views on sustainability in care professionals in Italy (Veneto region). Eight focus groups, involving n = 26 social workers and n = 12 care professionals in Public and Third Sector Organisations were conducted using a photo-elicitation technique. Interviews were thematically analysed and interpreted through Boetto’s ‘transformative eco-social model’ (2017). Results describe the structuring of the eco-social intervention network and the (un)sustainable system aspects. Participants highlighted the benefits of participatory planning approaches, community work, new economic models, and organisational cultures fostering meaningful work. We conclude that social care professionals have a key role in catalysing grassroots change, and local services are privileged settings for building a sustainable, generative welfare.

Digital Transformation and Its Relationship to the Job Performance of Employees at a Private University in Peru

Background Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. Methods The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. Results Descriptive results reveal that the university has regularly adopted tools related to digital transformation. In particular, it has efficiently employed agile technologies, Big Data, and various technological means, benefiting 90% (52% and 38%) of the staff. The study also showed a high positive correlation (0.92>0.7) between digital transformation and the job performance of staff at the Private University, confirming that there is a significant connection between the variables studied. Conclusions Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.

Improving the practical skills of STEM students at a historically black college and university (HBCU)

Improving the practical skills of Science, Technology, Engineering and Mathematics (STEM) students at a historically black college and university (HBCU) was done by implementing a transformative teaching model. The model was implemented on undergraduate students of different educational levels in the Electrical Engineering (EE) Department at HBCU. The model was also extended to carefully chosen high and middle schools. These middle and high school students serve as a pipeline to the university, with a particular emphasis on fostering growth within the EE Department. The model aligns well with the core mission of the EE Department, aiming to enhance the theoretical knowledge and practical skills of students, ensuring that they are qualified to work in industry or to pursue graduate studies. The implemented model prepares students for outstanding STEM careers. It also increases enrolment, student retention, and the number of underrepresented minority graduates in a technology-based workforce.

Developing a model of digital transformation of university libraries based on meta-synthesis

PurposeThe purpose of this study was to develop a model for the digital transformation of university libraries based on meta-synthesis.Design/methodology/approachThe approach of this research was qualitative and used the Sandelowski and Barroso’s (2007) seven-step meta-synthesis method to systematically review the literature. The statistical population of the research includes all the scientific publications related to the foundations and dimensions of the digital transformation of university libraries, counting the scientific publications retrieved from six scientific databases in the period from 2004 to 2022, and was based on the critical appraisal skills programme and a screening process.FindingsBased on the retrieved publications, 32 documents were selected for further review and analysis. First, a separate code was considered for all the factors extracted from the selected documents, and then, considering the concept of each of the codes, they were categorized into a similar concept. In this way, the research concepts were determined. Based on the analysis done with the help of the content analysis method, there are a total of seven main categories and 24 concepts, including digital culture (including: digital attitude, user-oriented, agility, participation and cooperation, creativity and innovation and learning digital skills of employees), digital librarian (containing: individual competence, knowledge competence, communication competence and skill competence), digital manager (comprising: individual competence, knowledge competence, skill competence), digital services and resources (including, optimally reorganizing library resources, providing digital services to users and providing digital services to the mother organization), digital technologies (containing: digital infrastructure, technological readiness and using digital technologies), support and cooperation of upstream institutions and the mother organization (dealing with: providing human resources, providing technological resources and equipment and making macro policies) and work process and development of digital strategies (comprising: digitalization of processes and development of library digital strategies).Originality/valueDigital transformation is a complex and multi-faceted process, yet it is an indispensable endeavour for university libraries, and managers and librarians cannot be expected to be familiar with these concepts without training or study and then be able to move in the right direction towards the digital transformation of libraries. To the best of the authors’ knowledge, this is the first study to develop a model for the digital transformation of university libraries. The results of this research indicate the effective factors and requirements needed for the digital transformation of university libraries and address the importance of understanding the concepts for managers and librarians.

Promotion of Student Self-Regulation from Transformational Evaluation Processes: Case Applied to the Innovation Program in University Teaching

Objective: To describe from a transformational model based on student empowerment, the implementation of active and collaborative evaluation procedures among students, with the purpose of promoting self-regulation of their learning. Theoretical Framework: The new conception of evaluation has involved the incorporation of new evaluative agents in the process, focused on an evaluation for learning and how learning, integrating students as active participants in their own learning and evaluation, developing self-regulation and metacognitive, promoting student empowerment, and the delegation of evaluative responsibilities from a dialogic and collaborative model. Method: The methodology adopted for this research arises from a qualitative approach and includes an intrinsic case study, for which the ALE–Q Questionnaire - Evaluation Climate as learning and empowerment in Higher Education by Ibarra-Sáiz, María Soledad, was applied. & Rodríguez-Gómez, Gregorio. Results and Discussion: It can be confirmed that greater student participation in learning evaluation processes promotes student autonomy and responsibility, which mobilizes more inclusive, empowered and democratic evaluation processes. The possibility that students can make value judgments and commit to their own learning, which mobilizes learning throughout life. Implications of the Research: The research involved delving into the learning evaluation procedures in higher education and promoting from here a change from the traditional evaluation paradigm towards a transformational evaluative approach based on student empowerment, this paradigmatic break highlights what is legitimized found among higher education teachers to implement traditional, unilateral evaluation models with little student participation. Originality/Value: The study stresses traditional learning evaluation models versus transformational evaluative models, where the active, collaborative and empowered participation of students is promoted, producing a break in the linearity of how the evaluation processes have been conceived.