Innovative Organizations Research Articles

Hierarchical multi-label classification model for science and technology news based on heterogeneous graph semantic enhancement

In the context of high-quality economic development, technological innovation has emerged as a fundamental driver of socio-economic progress. The consequent proliferation of science and technology news, which acts as a vital medium for disseminating technological advancements and policy changes, has attracted considerable attention from technology management agencies and innovation organizations. Nevertheless, online science and technology news has historically exhibited characteristics such as limited scale, disorderliness, and multi-dimensionality, which is extremely inconvenient for users of deep application. While single-label classification techniques can effectively categorize textual information, they face challenges in leading science and technology news classification due to a lack of a hierarchical knowledge framework and insufficient capacity to reveal knowledge integration features. This study proposes a hierarchical multi-label classification model for science and technology news, enhanced by heterogeneous graph semantics. The model captures multi-dimensional themes and hierarchical structural features within science and technology news through a hierarchical transmission module. It integrates graph convolutional networks to extract node information and hierarchical relationships from heterogeneous graphs, while also incorporating prior knowledge from domain knowledge graphs to address data scarcity. This approach enhances the understanding and classification capabilities of the semantics of science and technology news. Experimental results demonstrate that the model achieves precision, recall, and F1 scores of 84.21%, 88.89%, and 86.49%, respectively, significantly surpassing baseline models. This research presents an innovative solution for hierarchical multi-label classification tasks, demonstrating significant application potential in addressing data scarcity and complex thematic classification challenges.

Research on the Impact Mechanism of Knowledge Spillover on the Growth of Small and Medium-sized Sports Enterprises

Background and Aim: In recent years, knowledge spillovers and enterprise innovation have become key drivers of the rapid development of small and medium-sized sports enterprises (SMEs) in China. This study conducted a questionnaire survey of 405 employees from SMEs using the snowball sampling method. The study focuses on how knowledge spillovers affect the development of SMEs in the sports industry and verifies the intrinsic links between knowledge spillovers, product innovation, model innovation, learning organizations, and firm growth variables. Materials and Methods: The study utilized SPSS 26.0 and AMOS 26.0 software for EFA and CFA. Additionally, the research hypotheses were tested using structural equation modeling with AMOS 26.0 software. Results: 1) Knowledge spillover, product innovation, model innovation, and learning organization all significantly enhance firm growth. 2)Learning organization, product innovation, and model innovation in SME sports enterprises mediate the effect of knowledge spillover on firm growth. 3)Learning organizations and product innovation, learning organizations, and model innovation in SMEs' sports enterprises jointly mediate the impact of knowledge spillovers on firm growth. 4)The study's results provide an in-depth analysis of how knowledge spillovers affect the development of SMEs through direct and indirect paths. This enriches the theory of sports enterprise development and helps promote enterprise growth. Conclusion: 1) Knowledge spillovers from SMEs directly boost enterprise growth. 2)Knowledge spillovers from SMEs can also indirectly enhance enterprise growth through factors like product innovation, model innovation, and learning organization. 3)Knowledge spillovers can further indirectly facilitate enterprise growth by influencing factors like enterprise learning organization, product innovation, and model innovation.

Innovative factors affecting performance of local government organizations in Thailand

This dissertation aimed (1) to study factors that have causal influences that affect the performance of municipalities. (2) to study the causal relationship model of innovative organizations, innovative capabilities, service innovation and performance management that influences the performance of municipalities. (3) to develop a linear structural equation model of the influence of service innovation, innovation organization, innovative capabilities and performance management that affects the performance of local government organizations in the category of municipalities in Thailand. The sample group were 320 executives of local government organizations in the category of municipalities in Thailand. Sampling was done in 2 steps: stratified and systematic sampling. This study is a quantitative study, and the research tool was a structured questionnaire and data were analyzed by percentage, mean, standard deviation, skewness, kurtosis, and confirmatory component analysis and structural equation model analysis. The findings of this study demonstrate significant direct effects of innovative capabilities, service innovation and performance management on performance of local government organizations in Thailand. Moreover, it was observed that innovative organizations and innovative capabilities also exerted indirect effects on performance of local government organizations through their influence on performance management, serving as mediator variables. Through the development of a structural equation model, it was determined that innovative capabilities had the greatest overall influence on the performance of local government organizations in the category of municipalities in Thailand, followed by performance management, service innovation and innovation organization, respectively. This research study made executives of local government organizations in category of municipalities in Thailand can be used as a guideline in determining strategies for managing their organization to be able to keep up with changes in the digital world and to ensure that the performance of the local government organization achieves the specified goals in terms of both efficiency and effectiveness.

Digital Transformation in Healthcare : Leveraging Technology to Enhance Patient Care

This article examines the successful implementation of Pega's Healthcare Customer Service and Care Management solutions at a major healthcare provider, demonstrating how digital transformation can revolutionize patient care delivery while optimizing operational efficiency. The implementation, which focused on integrated care coordination, patient case management, and compliance frameworks, resulted in significant improvements, including a 20% reduction in hospital readmissions, a 30% reduction in administrative costs, and a 25-35% reduction in operational costs. The organization achieved enhanced patient outcomes, streamlined operations, and improved regulatory compliance through comprehensive data integration, automated workflows, and user-centric design. The article highlights how strategic digital transformation initiatives, aligned with industry best practices and supported by robust change management, can successfully address healthcare's complex challenges while positioning organizations for future innovation in care delivery.

Designing the Internal Organization for Circular Economy Innovation: A Knowledge Governance and Microfoundations Approach

Firms implementing circular economy principles in their innovation processes necessitates the redesign of well-established processes and practices. This redesign leverages the various knowledge and practice domains within the firm, at different levels and scales. Despite the importance of knowledge to innovation management, there is a lack of research in innovation studies examining how firms could manage different knowledge flows within the circular economy context. In most research in this area, studies tend to assume that existence of governance mechanisms to manage these knowledge flows. However, given the need for redesigning or introducing entirely new business models to incorporate circularity principles, there is also a need to understand the internal organization that facilitates such changes. In this paper, we conceptualize how organizational mechanisms governing knowledge processes influence firms' adoption of circular-oriented innovation processes. We conclude that firms go through various stages and levels in the adoption process. These levels are linked through situational, action-formation, and transformational mechanisms that govern supportive knowledge processes. We contribute the innovation management literature by linking circular innovation process adoption to knowledge governance and the underlying knowledge processes. Specifically, we highlight the microfoundations nuances of circular-oriented innovation processes adoption that are pertinent to organizing innovation activities within the firm.

How intelligence organisations innovate

ABSTRACT Practitioners and academics recognize the importance of innovative intelligence organisations. However, we know little about how intelligence organisations innovate and what challenges they are being confronted with. Drawing upon intelligence studies as well as innovation and organisational studies this paper forwards a conceptual framework to answer the question: how do intelligence organisations innovate? To address this, we introduce the concept of innovation capability, an organisation’s potential to innovate. The paper identifies seven attributes of innovation capability and explores these attributes within intelligence organisations. The attributes are: (1) vision and strategy, (2) competence base, (3) organisational intelligence, (4) creativity and idea management, (5) organisational structure, (6) culture and climate and (7) management of technology. The paper concludes with an agenda for further research.

Legal and organizational problems of development and production of innovative medicines in Russia

The article outlines the range of problems facing the Russian pharmaceutical industry as a segment of the real sector of the economy that ensures the health of the population. The necessity of an integrated approach to the formation of a model for the organization of scientific research, innovation and production activities in the designated area is substantiated; an organizational model is proposed that ensures the development and production of innovative medicines; individual legal measures aimed at increasing the effectiveness of state support for the development and production of innovative medicines (normative consolidation of the concept of an innovative drug and a scientific and technological consortium, the inclusion of scientific and educational organizations of higher education among the subjects of industrial clusters). The results of the research can be used in law-making activities and public administration practice.

Integrating digitalization opportunities into innovative public organizations’ management process

The COVID-19 pandemic has had an impact on public institutions management system which imposed a digital transformation of all processes. This study explores how integrating digitalization improves management processes within Romanian public organizations. It is based on a survey approach and on “snowball” sampling technique for collecting answers from 377 employees. The analysis was developed with structural equation modeling (PLS-SEM), prediction-oriented segmentation (PLS-POS), and multigroup analysis (PLS-MGA). The obtained results show that the digitalization of public institutions has a positive effect on all five managerial functions, namely on planning, organizing, coordinating, motivating, and controlling. The findings revealed three distinct homogenous groups of respondents using a posteriori segmentation, presenting variations in tool usage and function execution. There are multi-faceted contributions of this study: (1) in terms of theory, as it contributes to the literature by reinforcing existing knowledge; (2) in terms of methodology as it employs triangulation, and (3) in terms of practical implications by offering insights for decision-makers aiming to enhance institutional dynamics in public administration, albeit within the limitations of its geographic focus. In the last part of the paper, future research directions for integrating digitalization within public institutions are presented.

Typology and Development of Value Chains in Science, Technology and Innovation Organizations: Efficiency of Operating Model

The structure and activities of science, technology and innovation organizations should be reviewed in planning for change in accordance with (a) a framework operating model, (b) principles of organizational structures and (c) value chains in order to identify (1) areas of inefficiency, (2) the existence and maturity of chain links as well as (3) gaps with best practice. The operating model of organizations, whose support, development and effectiveness are influenced by legislation, budget and external factors, includes many components, from management policy to culture. Changes in organizational charts together with renaming of departments sometimes look like promising reforms. However, in any case, values brought by organizations should be put on the agenda. Social effect of science, technology and innovation as a contribution to public good or a measure of the social good extend to groups in society or to the whole of society both directly and indirectly, for example, through other values and social mechanisms of influence. In this article, the following typology of values is used in the context of the innovation ecosystem and discussions on public good: internal, economic, social and humanitarian ones. The last three values are often generalized by the term “impact”. Internal values of science and technology express the essence of development that knowledge is built on knowledge, and thereby increase the level and readiness of organizations. We consider links in the value proposition chains produced by these organizations, from planning to legal support management. Current national macro factors that influence them are formulated. The contemporary generation of the innovation ecosystem in the Republic of Kazakhstan is characterized by a lack of a group of elements that determine national internal and external goals, ways to achieve them, as well as monitoring the results of activities and impact. This article aims to formulate and study the linking of management at the level of the principles of the organizational structure and the framework operating model to the values at the level of the introduced typology, which are created in a certain way by science, technology and innovation organizations. In terms of research and practical significance, this allows for a detailed review, identification of areas of inefficiency and gaps with best practice. And then, by formulating and implementing initiatives, this allows to increase their capabilities and effectiveness taking into account the ambiguity and delayed nature of results of scientific, technological and innovative activities, as well as specific external national and international factors that influence organizations. Comparing value chain links to the typology of values, we have identified a specific distribution of their influence of on the types of these values. In terms of academic and theoretical significance, this study also attempts to reveal contradictions between resulting and procedural values in science, technology and innovation organizations by examining the development of value chains and the context of public good.

The Role of the Inclusive Leader in Driving Innovation: An Example of a Teal Organisation

The role of the leader is to create change and indicate the direction in which the organisation should go. Leader is the one who inspires, creates the organisational culture and builds emotional relationships that result in a much more effective company. His or her activity also influences the level of innovation in the company - the more inspired a co-worker perceives a leader and the greater his or her capabilities and freedom of action, the greater the chance of creating newer or even revolutionary solutions. The author's research has shown that the role of a leader in an innovative organisation cannot consist only in creating and promoting a vision, and then inspiring others to make it a reality. It can be concluded that the period of feisty and charismatic visionary leaders is slowly passing into oblivion, and their place is being taken by leaders who are able to discover and unleash the creative potential of the entire team in their talented colleagues. Amidst the evolving landscape of businesses, there is a growing focus on identifying key traits of leadership essential for effective organizational change. It is advocated that every organization should draw on these traits to innovate its employee resources. The presented results show the results of four years of research within the framework of the project entitled Teal Organisations: developing self-management and entrepreneurial culture in the age of Economy 4.0. The research shows how the understanding of innovation, the role of leadership has changed over several years and what research gaps are emerging. The research targeted micro and small enterprises in the family business sector. Insights from the third stage conducted in 2023 shed light on the qualities and competencies of leaders. The study’s findings highlight that leadership fosters better team outcomes through enhanced decision-making and collaboration. Our research shows, that leaders are required to acquire, develop and refine the skills of facilitating the work of a team to effectively and continuously generate innovation. The leader must master several skills, i.e. knowing the tools of creative team work, allowing the free flow of information, the ability to integrate ideas in order to create a new, better idea, so that the valuable ones do not get diluted and are qualified for further innovative work through well-considered decisions.

The Genesis of the Crypto-economy: Application of the Institutional Theory

This study investigates the institutionalization of the crypto-economy from an institutional theory perspective and also examines the role of existing institutional pillars in its development. The path analysis using global institutional indicators reveals that the development of the crypto-economy is significantly affected by regulatory, cognitive, and normative factors of a country. Further, the regulative pillar fully mediates the relationship between the social pillar and the crypto-economy. While we find convincing evidence that a country’s social pillar endorses crypto-economy, its indirect effect is more prominent and significant than the direct effect.

Exploring Innovative Thinking Skills Among SME Owners in South Africa: Implications for Business Longevity

Aims: According to the SME South Africa study conducted in 2018, the survival rate of South African Small medium enterprises (SME) is low. The country’s policymakers have become increasingly aware of the need to support the cultivation and growth of resilient, innovative and agile entrepreneurs as can be seen in the National Integrated Small Enterprise Development (NISED) Masterplan. In addition, employees in innovative organizations are more likely to share knowledge to contribute to the improvement of organizational performance, as such environments require high levels of innovative activity. Therefore, the study aimed to assess the level of innovative thinking skills among SME owners in South Africa's construction and manufacturing industries and explore its impact on SME longevity. Study Design: The study employed a descriptive quantitative design, focusing on 204 SME owners from the construction and manufacturing industries in South Africa, selected via quota sampling. Data was collected through an anonymous online questionnaire, which assessed the participants' levels of innovative thinking. The analysis, conducted using Python software, aimed to determine the prevalence of these skills and their implications for the longevity of SMEs. Place and Duration of Study: The study was conducted in South Africa, focusing on the construction and manufacturing industries. The data collection and analysis took place over a period of two years June 2020 and July 2022. Methodology: The study employed a descriptive quantitative approach, using quota sampling to select 204 SME owners from the construction and manufacturing industries in South Africa. Data was gathered through an anonymous online questionnaire and analyzed using Python software to assess innovative thinking levels. Python was selected for descriptive statistics due to its robust and mature libraries like Pandas and NumPy, which facilitate efficient data manipulation and analysis. It ensures consistency and reproducibility in research workflows. Results: The results indicated that SME owners in both the construction and manufacturing sectors exhibited moderate levels of innovative thinking. This suggests that while innovative thinking is present, there is potential for further development to enhance SMEs' competitive edge and long-term viability. Conclusion: The study concludes that while SME owners in South Africa demonstrate moderate levels of innovative thinking, there is significant room for improvement. Enhancing these skills could play a crucial role in boosting the competitive advantage and sustainability of SMEs. It is recommended that SME owners integrate innovative thinking more deeply into their management practices to effectively navigate complex challenges.

The challenges and prospects of developing an innovation intermediary organization: a case study of Iran

This paper aims to design the optimal structure of an innovation intermediary organization and its open innovation platform to facilitate the process of commercialization of inventions as well as establish effective communications between industrialists and researchers and inventors. Even though the issue of creating an open innovation platform and its design was raised in other research, the optimal structure that was extracted from the experience of working in the field of commercialization of inventions in a long-term period has not been done. Using the case study research methodology for seven years (from 2012 to 2018) in seven phases, we studied the obstacles in the way of, and strategies for, the development of the innovation intermediary organization in Iran, and proposed a model for the open innovation platform belonging to this innovation intermediary organization at the end of the 7th phase. The tool for gathering information is the review of open innovation organization documents and semi-structured interviews with 15 experts and managers of this open innovation organization. By categorizing the obtained codes, the intended themes were extracted. Then, Cohen's Kappa coefficient was used to measure the reliability of the obtained codes, the value of which was equal to 0.85, indicating the high reliability of this research. Also, to strengthen the credibility of this qualitative research, environmental observations and analyzed data were used to provide respondents with their opinions. The obtained findings indicate an appropriate structure for the innovation intermediary organization and its open innovation platform to accelerate the identification of the needs of industries, creating solutions for these needs, as well as supporting patents and entrepreneurial plans. In this structure, various components of the innovation ecosystem interact with each other, including universities, research centers, experts, start-ups, investors, entrepreneurs, science and technology parks, and accelerators. The results of the study show that by collaborating with this platform, universities can provide job opportunities for students in various fields. By joining this platform, industries will be able to meet some of their technological needs. Furthermore, entrepreneurs can use this platform to finance their entrepreneurial projects using investors and acquire their required experts.

An Upside-Down Approach to Social Innovation at Institutions of Higher Education

Experts commonly assert that social innovation is best taught outside of higher education, given that higher education institutions are prone to rigidity traps. Opposing research suggests that social innovation can flourish within institutions of higher education when they embrace new ways of teaching and learning. Using a student-initiated and led Social Innovation Organization (SIO) at a university in South Asia as a case study, this article considers how social innovation education might emerge from and take root within institutions of higher education and what the consequences are for social relations, power structures, and institutional practices.

The cost to education development: A personal story

This personal narrative details the experiences of the founding director of the Institute of Education at the Higher School of Economics in Moscow, reflecting on the development of educational precedents in post-Soviet Russia. The text outlines the establishment and rise of a few new innovative educational organizations, marking their impact through innovative practices rather than conventional policy reforms. The author argues that creating educational precedents—specific, practical examples of successful education strategies—is more resilient and effective than broad policy reforms or regulatory innovations. These precedents, once established, tend to endure through their intrinsic merits and practical success, despite shifting political landscapes and regulatory environments. The personal story underscores the complex interplay between educational innovation and political reaction in Russia.

Green Innovation and Brown Organization: How to Bridge the Transition Gap?

Green Innovation and Brown Organization: How to Bridge the Transition Gap?

The Cluster: A Mechanism for Developing the Centralized Heating System

"Science and technology cluster - a grouping of legal entities and natural persons established on the basis of a contract of association, concluded between accredited science and innovation organizations and/or accredited higher education institutions, other non-commercial organizations, on the one hand, and economic agents, local public administration authorities employers' associations or professional associations, natural persons, financial institutions, international organizations, domestic or foreign investors, on the other hand, for the purpose of carrying out scientific research, education and technological transfer of scientific results and innovations, their exploitation through economic activities'.

Innovation policy responses to address vulnerabilities of national innovation systems: long-lasting impacts of COVID-19

Abstract This special issue explores the vulnerabilities of national innovation systems (NIS) which were exposed by the COVID-19 pandemic and the subsequent policy responses. New technologies and solutions were needed such as new drugs, medical equipment, and treatments, and new innovative institutions, organizations, and capabilities were needed to respond quickly, develop, and offset the acute demand. While some policy responses were effective, others fell short or were completely absent. The phenomenon provided a unique opportunity to uncover how governments and industry sought to mitigate the negative impacts and to prepare for future crises by building more resilient NIS. The five articles included in this special issue identify some of the vulnerabilities of NIS, suggesting that greater research on the resilience of NIS is needed if we were to weather future crises more effectively. Subsequent policy implications for innovation systems are drawn to address the vulnerabilities highlighted.

Development of Guidelines on How to Practice Innovative Organization Model for Secondary School Administrators

Development of Guidelines on How to Practice Innovative Organization Model for Secondary School Administrators

Research Paper on Artificial Intelligence

Artificial Intelligence (AI) has emerged as a transformative force across various sectors, revolutionizing processes, enhancing efficiency, and redefining innovation. This research paper delves into the multifaceted landscape of AI, focusing on its applications, knowledge representation, and implications for innovation. The paper begins by exploring the diverse applications of AI across healthcare, gaming, finance, data security, social media, robotics, and e-commerce. In healthcare, AI aids in diagnosis and patient care, while in gaming, it enables strategic game play and enhances user experience. The finance sector leverages AI for automation, analytics, and algorithmic trading, improving decision-making and customer service. AI also plays a vital role in ensuring data security through advanced detection systems, manages vast social media data for enhanced user engagement, and drives innovation in robotics and e-commerce. Moving forward, the paper delves into the realm of expert systems and knowledge representation, elucidating the role of AI in simulating human expertise and modeling complex information structures. It discusses various aspects of knowledge representation, such as propositional knowledge representation, image retrieval, functional relationships between objects, and class representation formalism, highlighting their significance in developing intelligent systems. Furthermore, the paper examines the integration of AI in maintenance practices, both for tangible systems like engineering workshops and intangible products like data extraction wrappers. It underscores the importance of AI in optimizing operational efficiency, reducing downtime, and ensuring continuous data extraction. Lastly, the paper explores the concept of deep learning as a general- purpose invention, discussing its potential implications for innovation, management, institutions, and policy. It addresses key issues such as the management and organization of innovation, intellectual property rights, competition policy, and the cumulative knowledge production facilitated by deep learning. In conclusion, this research paper provides a comprehensive overview of AI's transformative potential, emphasizing the need for further research and analysis to fully comprehend its impact on society, economy, and innovation.