Innovative Paradigm Research Articles

Human Creativity in the AIGC Era

Recent advances in artificial intelligence raise profound questions for humanity. Is the artificial intelligence-generated content (AIGC) technology merely a tool? Or is AIGC developing a level of creativity comparable to that of human beings? This essay explores the challenges and opportunities that AIGC technology brings to creativity, industry, and the ways of living of people around the world. These questions involve scale, authenticity, choice, and wisdom. Further, this essay addresses the core capabilities of future creative workers in the era of AIGC. The author believes that the ability to create meaning—meaning making—is and will remain a distinctive strength of human creativity in the AIGC era. To build on this strength, human beings must focus on six key areas: human-centered values, paradigmatic innovation, holistic experiences, cultural awareness, situational connections, and narrative reasoning. The best outcome for the AIGC is to make machines more machine-like and humans more human. Achieving this goal requires a cultural renaissance. We must break through the limits of computational rationality with the brilliance of humanity.

OPEN INNOVATION AS A COMPLEX MECHANISM OF MODERN INNOVATIVE DEVELOPMENT

Purpose. The aim of the article is to study the regularities of open innovations in the process of modern innovative development and development of a complex model that explains the cause-and-effect mechanism of the development of open innovations in the multiplicity of their manifestation. Methodology of research. The following research methods were applied to achieve the goal: to identify the essence of the concept of “open innovation” – methods of analysis and synthesis; for the accumulation of disjointed, but causally connected facts, concepts – methods of induction and deduction in their dialectics; for the formulation of theoretical generalizations – the abstract and logical method; for visualization of research results – graphic method; for the definition and classification of approaches to the interpretation of the studied category – the method of systematization. Findings. The essence of the concept of "open innovation" was investigated. The available interpretations of “open innovations” in the economic literature are summarized and the key markers of the analysed concept are identified. The classification of the principles of open innovation was further developed. A matrix of comparison of the properties of related methods of the openness paradigm in the innovation process was obtained. A dynamic system model of the open innovation development mechanism was developed. Originality. The theoretical aspects of innovative development in the open innovation paradigm, which characterize the development of the principle of openness in a variety of related methods, have gained further development. Practical value. The results of the conducted research can be applied to ensure further systematic research of the modern innovation process in the paradigm of open innovation and the formation of effective programs and tools to ensure their development in Ukraine. Key words: open strategy, open innovation process, open innovation, innovative development, crowdsourcing, co-creation, socially responsible marketing.

A novel evolutionary analysis model for social collaborative design ecosystem based on information entropy

Social collaborative design rooted in online platforms has emerged as a new paradigm for product innovation, with open and dynamic design elements bringing about external design resources and internal fluctuations. To guarantee sustainable operation of the design system, assessing the impact of the uncertainty of the external environment and randomness of the internal organization on the efficiency and stability of the system’s operation is essential. To that end, this paper proposes a quantitative evolutionary analysis model based on information entropy theory to assess the benefits and drawbacks of system evolution by measuring the degree of development and harmony of the system, as well as to anticipate future evolutionary trajectories using a classical time-series prediction model. The accuracy and validity of the model were verified using 794,509 design data points accumulated over 10 years on the Zhubajie platform, the largest social collaborative design platform in China. In summary, our study provides a method for stakeholders to evaluate the evolutionary trend of the design ecosystem. Platform managers can utilize this model for controlling the operating state of the system to ensure safe and effective operation.

Data Stewards in Service of Artificial Intelligence: Reimagining Ai Futures Towards a Participatory Paradigm for Technological Innovation

Data Stewards in Service of Artificial Intelligence: Reimagining Ai Futures Towards a Participatory Paradigm for Technological Innovation

The adoption of Open Innovation in Manufacturing: a review

The Open innovation (OI) paradigm represents an organizational innovation that can enable manufacturing firms (including those operating in mature industries) and the industry itself to structure their innovation processes more effectively and efficiently, significantly reducing the cost, time, and thus the risk of innovation. Based on these considerations, this paper discusses the topic of OI in manufacturing. Through a systematic and bibliometric literature review, we retrieved from the Scopus database 331 articles published in the major academic journals referenced in the database. The article outlines the evolution of the topic based on publications by year, type of document, country, subject area, source, author, and through a keyword analysis. The results provide a clear picture of the existing literature to identify gaps in current scientific research and propose a future research agenda.

The Concept of Urban Mobility Innovation Environment for Data-Driven Service Development

Data-driven digital services have become an integral part of the optimization of transport as well as customer experience. When seeking fresh solutions and services for public transportation, the open innovation paradigm could be considered as a viable approach to apply. As an embodiment of this approach provider-driven living labs are arranged by public organizations as well as private companies to co-develop new products, services, and solutions. Tampere Urban Rail Mobility Services (TURMS) living lab combines a public transport vehicle as a physical platform and a cloud-based data space as a digital platform, for creating an authentic and secure innovation, development, and testing environment for novel mobility solutions and services. This paper describes system requirements and the architecture of the digital platform needed to support the TURMS living lab data ecosystem.

The competency-based approach in higher education: problematicity& perspectives

This research is aimed at analyzing modern problematicity of forming the competency-based approach’s essence and perspectives in higher educational institutions within Ukraine; considering it as the modern learning innovative paradigm aimed at the conceptual learning renewal in higher education, its reorientation towards achieving integral learning outcomes (competencies), characterized by personal and social significance, as well as personal socialization and professionalization. For this purpose, the new corporate culture formation at the university, in which all links as well as all education participants are interested in improving the higher education quality, has been examined. To achieve the stated objective theoretical (comparative analysis, synthesis, generalization, modeling) and empirical (questioning) research methods were used. It had outlined three broad approaches applied regarding competence and professional development: 1) competence and behavioristic functionalism; 2) competence as integrated occupationalism; 3) competence as situated professionalism. The research has proved that throughout life as well as professional career, a person is constantly updating, deepening, and improving his three groups of competencies: 1) general (key, basic): personal, social, instrumental, 2) professional and 3) occupational. In the terms of our research, it has been specified that the perspectives of the competency-based approach implementing are to contribute to form the graduate’s willingness to succeed in different areas, including foreign language proficiency.

A Reconfigurable Approximate Computing Architecture With Dual-VDD for Low-Power Binarized Weight Network Deployment

Approximate computing (AC) is an innovative paradigm for error-resilient signal processing applications. Addition is often a fundamental function for many of these applications. Particularly, binarized weight network (BWN) eliminates the multiplication by quantizing the weight to 1 bit, and the convolution can be achieved by simple accumulation. To further improve the energy efficiency of BWN, an approximate computing architecture based on the reconfigurable approximate adder with dual-VDD is proposed. The precision of the proposed approximate addition structure can be configured by setting approximate bit-width (ABW), and different voltage supplies can be configured for the approximate adder to reduce power consumption. A keywords-spotting (KWS) processor based on an optimized BWN is then used as a case study of the proposed approximate computing architecture. Implemented and evaluated under 22nm technology, the power consumption of the proposed BWN accelerator can be reduced by 54.3%, while the accuracy loss is only 0.4%.

Technology Transfer Process in the Context of Open Innovation Paradigm

The technology transfer process has been emphasized as an important driver in innovation and creating sustainable growth. Nevertheless, there is a major research gap in the field of identifying the model of the technology transfer process in the framework of the open innovation paradigm. Identifying this study gap is the aim of the present study. This research has been done using Sandelowski and Barso's metacomposite method and with a systematic review of 26 articles related to the purpose of the research out of 333 primary articles. The final articles were selected based on the inclusion criteria. The validity of the research was confirmed according to the criteria of entering the review, holding meetings with the members of the research team, using an expert and auditing the entire process for theoretical consensus. Reliability was also confirmed through the critical evaluation skills program. In this meta-combination study that was carried out in 1401, from library resources including scientific articles, books, case reports with keywords related to technology transfer and open innovation paradigm in Farsi and English languages in Springer MDPI, Taylor, Wiley databases. Science Direct, Emerald, Google Scholar, SID, Magiran and CIVILICA published in the years 2010 to 2022 were used. The results obtained through the categorization and coding of concepts using the metacomposite method for the three-component technology transfer variable and six sub-components of technology selection and acquisition, technology adaptation, application and absorption of technology (technology adaptation, technology efficiency and technology absorption) and technology development and diffusion. technology dissemination and technology development) with 21 codes and for the open innovation paradigm variable, 2 components with 12 sub-components (licensing purchase, joint venture, venture capital, outsourcing of research and development contracts, merger and acquisition, customer participation, external networking, grant sales, open source licensing and reproductive companies) along with 15 codes were extracted. The use of this model helps senior managers and industry policy makers to have a deeper understanding of the practical mechanisms that support the open innovation strategy while focusing on their organizational capabilities and policies based on technology transfer.

Research Compensation and Enhanced Contacts in Studies With Persons Who Use Drugs: Lessons From the COVID-19 Pandemic Demand a Reset.

Policy changes resulting from the coronavirus 2019 (COVID-19) pandemic have had a substantial and positive impact on the clinical care of persons with opioid use disorder. These innovative paradigm shifts created a ripe environment for re-evaluating traditional approaches to recruiting and retaining persons who use drugs into research studies. For example, changes to methadone prescribing requirements and authorization of buprenorphine prescriptions via telehealth have both increased access to medications. In this commentary, we contribute to ongoing conversations about the ethics of compensation for participants in addiction-related clinical research and share methods of payment that proved successful in research performed during the pandemic. We also discuss approaches to enrollment and follow-up that were implemented during the height of COVID restrictions. These approaches may mutually benefit both participants and researchers in a post-pandemic era.

Credit Card Fraud Detection Methods: A Review

In today’s context, the term “fraud” has become closely intertwined with credit card-related deceit. Recent years have witnessed a notable surge in both credit card utilization and fraudulent activities. Detecting and thwarting fraud necessitates a meticulous analysis of customers’ spending patterns. The ubiquity of credit card use for both online and in-store transactions has un-fortunately led to a parallel rise in recognition valentine scam occurrences. While the primary area of deception discovery is the documentation of sham incidents, the urgency of promptly flagging such events cannot be overstated. The con-temporary landscape heavily favors credit card usage, a trend that inadvert-ently contributes to the annual expansion of fraudulent gains. This unlawful practice exerts a pernicious influence on the global economy at large, exac-erbating its impact year after year. Numerous cutting-edge methods, including as data mining, machine learning, fuzzy logic, genetic programming, sequence alignment, artificial intelligence, and fuzzy logic, have become indispensable in the fight against this threat when it comes to identifying credit card fraud. This study delves into the intricate integration of data mining methodologies, showcas-ing their robust potential to provide comprehensive coverage against fraudu-lent activities while maintaining a controlled balance between false alarms and detection accuracy. Within the financial sector, the challenge of credit card fraud detection remains both persistent and pressing. This paper intro-duces an innovative paradigm aimed at fortifying credit card fraud detection. This is achieved by synergistically harnessing the capabilities of the Artificial Underground Over-sampling Practice (SMOTE), the potency of Adaptive Increasing (ADABoost), and the privacy-enhancing attributes of Federated Learning. The incorporation of federated learning serves a dual purpose: not only does it address prevailing data privacy concerns, but it also significantly augments the precision of fraud detection across a diverse array of geograph-ically distributed data sources

Emerging Life Sciences Series: Q&A with the Editor

Emerging Life Sciences Series: Q&A with the Editor

ИННОВАЦИОННАЯ ПАРАДИГМА ЭКОНОМИЧЕСКОГО РОСТА

This article provides a comprehensive overview of the innovative paradigm of economic growth, highlighting key concepts and factors that drive innovation-driven economic development. The study delves into the significance of innovations, technological progress, and innovation policies in fostering economic growth and competitiveness. It explores national innovation systems, strategies, and technological trends that shape modern economies. The role of investments in research and development and the consideration of sustainable development, including social and environmental aspects of innovations, are discussed. The article also examines innovation clusters and the nexus between education and innovation. Additionally, it touches upon global technological trends that influence the innovation landscape. This comprehensive analysis underscores the pivotal role of innovation in shaping contemporary economies and offers insights for future research and policy implementation.

Designing an Open Innovation Model for Human Resource Management in the Petrochemical Industry

Objective: The purpose of this study was to design an open innovation model for human resource management in the petrochemical industry. Method: The population consisted of 17 university professors specialized in human resources and experts and senior managers of the petrochemical industry, selected through purposive sampling. The main tool used in this study was semi-structured interviews, and open, axial, and selective coding methods were used for data analysis with the assistance of MAXQDA 2020 statistical software. Results: The results of open coding revealed that a total of 215 open codes were identified, forming 83 categories. Conclusion: Ultimately, the final examination of these categories determined that the most important factors affecting open innovation include human resource management, organizational leadership, knowledge management, organizational infrastructure, collaboration with universities and research institutions, and external participation. Furthermore, organizational structure, information technology capabilities, and social media were identified as intervening factors, while organizational relationships, organizational culture, and managers' emotional intelligence were recognized as contextual factors in the implementation of open innovation. Among the strategies for improving the open innovation paradigm are organizational learning, idea evaluation structures, micro and macro investments, business intelligence, organizational entrepreneurship, and growth centers, leading to organizational readiness, improved absorptive capacity, cultural infrastructure enhancement, knowledge resource updating, intellectual property, outsourcing approach, organizational performance improvement, and market change adaptability.

Innovative Paradigm of Accounting Development for Management

The article discusses current accounting and reporting methods. The author analyzes alternative digital means of payment, typology of cryptocurrencies, their use and volatility. A new paradigm of accounting has been introduced, which is aimed at fulfilling the tasks necessary for the development of the modern economy, based on the need to overcome the periodic crisis phenomena existing in it. Prospects for the development of accounting science to enhance the synergistic effect of information support of the management system are identified. The article proposes a modern paradigm for the development of accounting for management. The place and role of the innovation strategy is determined, and the possible elements of the innovation strategy and their alternatives are considered.

Инновационная парадигма бюджетно-налоговой системы

The paper explores the mechanism of revenue generation in the consolidated budget of the Russian Federation, which includes the federal budget of the Russian Federation and the consolidated budget of its constituent entities, as well as state extra-budgetary funds (medical and social insurance, Pension Fund of the Russian Federation). In contrast to the current fiscal tax system, the innovative paradigm of the budget and tax system generates necessary revenue using the socially necessary surplus value, minimum of initial information in the jurisdiction of the Russian Federation and its entities.

Considerations for the Effective National CDO Policy

Data is a strategic asset for digital transformation. National innovation based on data has become a matter of global competition and survival. For pursuing a national innovation, it is important that the governance clearly defines the role and responsibility to lead innovation at the national level. In this regard, a national chief data officer (CDO) system has emerged recently as a new paradigm for national data innovation, mainly in the United States, the United Kingdom, and South Korea. This study employs a comparative approach to explaining the trends and common features of the national CDO system. The focal point of analysis is the legal base of CDO system, organization and governance, the required capability and authority of CDO, and its hiring process. Summing up, the study shows that an organization-wide awareness of the benefits of data innovation, a powerful authority to lead and coordinate regarding agencies, and a competent supporting organization are crucial to the successful operation of a CDO system.

Success factors of digital technologies (DT) tools adoption for sustainable construction in a developing economy

PurposeAs the construction sector constantly seeks ways to address ever-growing societal demands, the need to embrace innovation and digital technologies (DTs) cannot be overstated. Therefore, the purpose of this study is to assess the success factors influencing the adoption of DTs to achieve sustainable construction in a developing economy such as Nigeria.Design/methodology/approachA quantitative research approach was conducted with close-ended questionnaires developed and administered to construction professionals based in Lagos State, Nigeria. Data obtained was analyzed using percentages, frequency, mean item score and exploratory factor analysis.FindingsThe findings from the mean scores revealed the leading influential success factors which were education and training, methodology of model constructions, organization development, customer satisfaction and profitability and new revenue. Factor analysis revealed three clusters of success factors which were management needs, construction methodology and effective communication.Practical implicationsTo adequately integrate DTs into construction industry activities and processes, awareness about the technologies must be created and enhanced if already in play. This study posits that the construction sector must accept and implement this new paradigm of innovation to benefit from this disruptive era.Originality/valueThis study serves as a foundation for other related studies that are aimed at advocating the efficacy of DTs in the effective and efficient execution of construction activities. The assessment of the success factors influencing the adoption of DTs would help construction organizations and stakeholders to understand the need to embrace and implement smart technologies into the activities, operations and processes of the construction industry.

Bionic Engineered Protein Coating Boosting Anti-Biofouling in Complex Biological Fluids.

Implantable medical devices have been widely applied in diagnostics, therapeutics, organ restoration, and other biomedical areas, but often suffer from dysfunction and infections due to irreversible biofouling. Inspired by the self-defensive "vine-thorn" structure of climbing thorny plants, a zwitterion-conjugated protein is engineered via grafting sulfobetaine methacrylate (SBMA) segments on native bovine serum albumin (BSA) protein molecules for surface coating and antifouling applications in complex biological fluids. Unlike traditional synthetic polymers of which the coating operation requires arduous surface pretreatments, the engineered protein BSA@PSBMA (PolySBMA conjugated BSA) can achieve facile and surface-independent coating on various substrates through a simple dipping/spraying method. Interfacial molecular force measurements and adsorption tests demonstrate that the substrate-foulant attraction is significantly suppressed due to strong interfacial hydration and steric repulsion of the bionic structure of BSA@PSBMA, enabling coating surfaces to exhibit superior resistance to biofouling for a broad spectrum of species including proteins, metabolites, cells, and biofluids under various biological conditions. This work provides an innovative paradigm of using native proteins to generate engineered proteins with extraordinary antifouling capability and desired surface properties for bioengineering applications.

Data stewards in service of Artificial Intelligence: Reimagining AI futures towards a participatory paradigm for technological innovation

Data stewards in service of Artificial Intelligence: Reimagining AI futures towards a participatory paradigm for technological innovation