Innovation Factors Research Articles

The Disruptive Innovation Impact of Supply and Demand Matching in Digital Platforms Using Fuzzy-Set Qualitative Comparative Analysis Methodology: Evidence from China

Practice shows that digital platforms could enhance disruptive innovation. Given that digital platforms have always encountered imbalance problems, this study intended to explore which factor configurations could promote disruptive innovation sustainably from the perspective of supply and demand matching. This study constructed a theoretical framework referring to the TOE framework. Based on 25 questionnaires from China, the fuzzy-set qualitative comparative analysis (fsQCA) method was used to explore the configurations of disruptive innovations. This study found the following: (1) None of the five factors in the dimensions of technology, organization, or environment could constitute a necessary condition for enabling disruptive innovation alone. (2) There were four supply and demand matching configurations that could lead to highly disruptive innovation. Based on the homogeneous characteristics of the results, the four paths were divided into “technology-organization driven transition” types and “organization-environment collaborative transition” types. (3) Non-highly disruptive innovation included three specific configurations, all of which lacked the core conditions in technical and organizational dimensions, suggesting the importance of technical and organizational factors for disruptive innovation. This study provides guidance on supply and demand matching for platform enterprises to continuously create disruptive innovation. However, the data from China may limit the results’ applicability to a more expansive setting.

Research on the Performance Path of Industrial Green Total Factor Productivity in the Context of High-Quality Development—Based on Fuzzy-Set Qualitative Comparative Analysis

Improving industrial green total factor productivity (GTFP) is essential for achieving high-quality industrial development in China. To explore this perspective, we examined 30 provinces as case samples and applied a fuzzy-set qualitative comparative analysis in order to analyze the factors of technological innovation, human capital, green consumption, environmental regulation, the Internet, and external openness in relation to industrial GTFP. The findings of this study show that the configuration path of industrial GTFP has multiple concurrencies. Specifically, three paths were identified as leading to high industrial GTFP, namely, the “total factor type”, “open-technology drive type”, and “technology-human drive type”. Meanwhile, the two configuration paths of non-high-industrial GTFP displayed an asymmetric relationship. Overall, these findings are crucial in revealing the path to improving industrial GTFP and achieving high-quality industrial development in China. The “total-factor-type” and “open-technology-drive-type” paths were the most prevalent in the eastern region, while the central area leaned more towards the “technology-human drive type”. This study offers valuable recommendations and insights for policymakers and scholars interested in promoting the development of industrial GTFP.

Industry 4.0 Analysis as Differentiating Factor in Innovation: The Case of an Automotive Industry Using Technology with Optical Sensors to Optimize the Visibility in Cars

Industry 4.0 Analysis as Differentiating Factor in Innovation: The Case of an Automotive Industry Using Technology with Optical Sensors to Optimize the Visibility in Cars

Model Exploration of Enhancing the Effectiveness of College Students’ Innovation and Entrepreneurship Based on Internet of Things Technology

Abstract How to use the Internet of Things (IoT) technology to enhance the effectiveness of innovation and entrepreneurship of college students has become a topic of focus in undergraduate colleges and universities. For this reason, this paper proposes to integrate innovation and entrepreneurship education with IoT technology. Due to the inconsistent application direction of IoT technology, it can be broken down into system integration technology, wireless communication technology, and intelligent sensing technology. These three are working together to create an innovative entrepreneurship teaching model that is based on IoT technology. The empirical analysis shows that the experimental group and the control group at the end of the period show large differences in the factor of innovation and entrepreneurship knowledge, with the mean values of 4.822, 5.163, and T=6.47, respectively, and P=0.0004. In addition, the linear regression equation of IoT technology and innovation and entrepreneurship ability (Y2) is Y2=71.863+0.128X1, which shows that IoT technology can effectively improve the students’ college students’ innovation and entrepreneurship knowledge, ability, and thinking. This study confirms that the development of IoT will bring unlimited possibilities to innovation and entrepreneurship education and will become an important driving force for developing students’ creative thinking.

Digital Transformation in Cambodian Higher Education and Its Impact on Teaching and Learning Outcomes

Innovation is the need of the hour for an organization to stay ahead of the competition. It’s a critical factor that can make or break an organization’s success. The factors influencing innovation, whether tangible or intangible, are complex and multifaceted. The factors that drive innovation need further research as proper tools are unavailable to determine the quantum of influence the factors have on innovation. Building on their previous research, the authors identified key factors that significantly influence innovation through a comprehensive literature review. This study, however, took a different approach, conducting an empirical investigation using a survey as a measuring tool. The study then performed statistical analysis on the data, identifying and shortlisting the factors that play a crucial role in driving innovation within an organizational context. The study employed a statistical analysis, including a large sample z-test for proportions and hypothesis testing for each of the 25 factors. This approach led to the shortlisting of 13 factors that significantly influence innovation. Furthermore, the study used Correlation analysis to understand the interdependency among the innovation factors, adding another layer to the research. Further research may be directed toward devising a mathematical model for the innovation index for use as a measuring tool to assess an organization’s innovation potential. Keywords: Innovation; Interdependency; Technology; Competition; Organizational Structure

Факторы возобновляемого роста фирмы: теоретические подходы и анализ новостного контента

The aim of this paper is to systematize factors that contribute to a company’s transition to restarting growth after long-term stagnating or falling sales. Based on the systematization of factors for the growth restart documented in the world economic literature and the analysis of the news content from Russian enterprises’ websites and open Internet resources, factors for the restart of growth of Russian enterprises are identified. The research methods include systematization, grouping, calculation of economic coefficients, probabilistic analysis, correlation analysis, comparison of frequencies using the Pearson chi-square test. During the research process, a database of news content was compiled for 139 Russian enterprises that demonstrated rapid, renewable growth in 2016–2021. Based on a literature review and an empirical analysis of news content, five main groups of factors for the restarting growth of a company were identified (organizational factors; technological innovation and improvement of production processes; marketing factors; implementation of large projects; participation in exhibitions/competitions and receiving of awards/medals). The analysis of the news content of Russian enterprises shows that enterprises that have restarted growth most often mention organizational changes in the news agenda, and less often marketing and innovation factors. The correlation and frequency analysis revealed non-trivial relationships between joint mentions of groups of growth factors in firm news. Patterns of frequency of combinations of factors in comparison with cases of their independent manifestation were also revealed. The results of the analysis, systematization and verification of the significance of factors for company’s restarting growth will help investors make decisions about investing in promising enterprises that are capable of transitioning to growth after a long stagnation or decline in sales. The specificity of the data on which the factors are identified (news content) will allow investors to use leading indicators of restarting growth without waiting for the company to publish financial statements. Firstly, a description and comprehensive study of a new concept is carried out – renewed growth of enterprises after long-term stagnation or falling sales. The phenomenon of renewable growth of enterprises has not been comprehensively studied before. In the world literature there are observations of individual examples of similar dynamics at the macro-level and in regional studies. However, at the enterprise level, there are only works that describe individual factors of renewable growth. Secondly, factors of renewable growth described in the world literature are systematized. Thirdly, based on the authors’ approach, a sample of Russian enterprises with renewable growth is formed, growth factors are identified based on the analysis of news content on these enterprises, and their research is carried out using economic and mathematical methods.

ASSESSMENT OF REGIONAL INNOVATION ACTIVITY

The purpose of the article is to assess innovation activity taking into account the role of innovation in the economic development of the region. As the object of the study, the authors took 10 economic regions, grouped according to their economic characteristics on the territory of Azerbaijan. This paper reviewed international experience in assessing innovation activities taking into account regional characteristics. In the article, as a result of the analysis of the factors determining innovative activity, factors suitable for Azerbaijan were selected. The region's innovative activity was assessed taking into account international criteria for calculating the innovation index. As a result, it can be used when calculating the innovation index of the Republic of Azerbaijan, when assessing regional economic development based on the innovation factor.

ФОРМИРОВАНИЕ И РЕАЛИЗАЦИЯ КОНЦЕПЦИИ УПРАВЛЕНИЯ ЦИФРОВОЙ ТРАНСФОРМАЦИЕЙ ПРЕДПРИЯТИЯ

The article presents the formation and implementation of enterprises digital transformation management concept as one of the important factors in the enterprises innovation. The need for digital transformation of an enterprise in the context of global digitalization makes this study relevant and necessary. Without following modern digital trends, an enterprise cannot be successful in technological, communication and market aspects. A high-quality concept for managing digital transformation can help the development of an enterprise. The study aims to substantiate the need to formalize the concept of managing digital transformation of an enterprise, to determine corporate goals and tasks that are solved by management in the process of managing digital transformation. The study used various general scientific and special methods of cognition: observation, synthesis, method of analogies, abstraction, generalization, construction of hypotheses, concretization, graphic-analytical presentation, formalization etc. This study sets the following tasks: substantiation of the scientific and applied relevance of the topic of digital transformation management; determination of the «concept» definition in the digital transformation context; attribution of goals and main objectives, as part of the formation and implementation of the digital transformation concept. Due to the analysis of theory and practice, the author determined the priority management goals of digital transformation and formed a set of tasks, the solution of which will allow the company's management to improve the digital transformation management.

Matrix of development of information literacy as a factor of social innovation in the justice system

Resumo O desenvolvimento de competência em informação é base da aprendizagem ao longo da vida e um direito humano fundamental. Considerando-se a relevância social da competência em informação para a emancipação social, o seu desenvolvimento é essencial para concretizar inovações sociais, como o alcance dos objetivos de desenvolvimento sustentável. O presente artigo se trata de pesquisa exploratória descritiva com abordagem qualitativa e consistiu em estudo de caso múltiplo realizado em instituições do sistema de justiça, com o objetivo de propor uma matriz generalizável de competência em informação como fator de inovação social no sistema de justiça, a partir da percepção de atores do sistema de justiça a respeito dos processos pelos quais a competência em informação se alinha à inovação social. A coleta de dados se deu por pesquisa documental e entrevistas semiestruturadas com magistrados, membros do Ministério Público, professores universitários (centros de atendimento jurídico gratuito) e servidores do Poder Judiciário e do Ministério Público. A análise de dados foi feita por análise de conteúdo temática, análise do discurso do sujeito coletivo e pela Teoria da Atividade. A partir dos dados que emergiram das entrevistas, a matriz proposta foi descrita e explicada. Espera-se que esta matriz possa subsidiar futuras pesquisas e ações pertinentes à atuação das instituições pertencentes ao sistema de justiça, mais notadamente na implementação dos objetivos de desenvolvimento sustentável da Agenda 2030.

Green transformational leadership and organizational culture on environmental performance

This study examines the influence of eco-conscious transformational leadership and organizational culture on environmental outcomes in the context of East Java’s small and medium-sized enterprise (SME) industry. It investigates the mediating factors of green human resource management (green HRM) and sustainable innovation. The research methodology employs an explanatory approach to understand the relationships among these variables. The study’s target population consists of all registered SMEs in East Java, as recorded by the Provincial Office of Cooperatives and SMEs. These entities include various legal statuses in terms of ownership (PT/CV/UD/Foundation), and there are a total of 862,450 business entities. To determine an appropriate sample size, the study utilizes Slovin’s formula, resulting in a sample size of 400 entities. The research adopts a stratified cluster random sampling method for data collection and employs structural equation modeling (SEM) for data analysis. The findings of the study suggest that eco-conscious transformative leadership has a positive impact on green HRM, green innovation, and environmental outcomes. Similarly, organizational culture was found to influence green HRM and green innovation. Additionally, both green HRM and green innovation were positively associated with environmental performance. However, the relationship between organizational culture and environmental performance was found to be insignificant.

Contributing factors of green innovation for environmental sustainability

Contributing factors of green innovation for environmental sustainability

Europium and calcium-co-doped TiO2 nanocrystals: tuning the biocompatibility and luminescence traceability of Drosophila melanogaster

Doping TiO2 with Eu and Ca improves structural stability, luminescence, and biocompatibility, enhancing efficiency and safety, essential factors for sustainable innovations in biomedical applications.

Концепційні домінанти аналізування модернізації системи внутрішньої торгівлі

The article emphasizes the lack of a unified methodology for analyzing the processes of modernization of internal trade in view of a number of its structural characteristics, such as: organizational, economic, institutional, financial, innovative, social, etc. It is proposed to adhere to a structural-step-by-step approach to the analysis of modernization of the internal trade system. Thus, at the first stage, it is recommended to analyze the state (determination of general and specific characteristics (per person, entity, unit of area, etc.), structure (identification of ratios of selected parameters), dynamics (substantiation of growth rates of indicators) and efficiency (calculation of turnover, profitability, financial stability, business activity, etc.) of the internal trade system. The main stage of the analysis involves checking for compliance with modern progressive trends, innovation and technological activity and efficiency in the proposed main directions and structural characteristics of the modernization of the internal trade system. At the final stage, managerial decisions are made to design the modernization of the internal trade system based on: the results of identifying weaknesses; identification of unrealized potential; modeling of vectors for accelerating modernization; determination of factors of innovation and technological development; assessment of the quality of management; identification of means to enhance competitiveness; identification of deficiencies in ensuring socioeconomic efficiency. It is concluded that the application of such an approach to the analysis of modernization of the internal trade system provides a comprehensive characterization, on the one hand, of the functioning and modernization of the industry, on the other hand, of the efficiency of the State regulation of the processes of its development.

Exploration of Optimisation Mechanism of Innovation and Entrepreneurship and Student Management for College Students Driven by Big Data

Abstract The current employment situation is getting tighter and tighter, and innovation and entrepreneurship of college students have gradually become the focus of attention of the government and colleges and universities. This paper preprocesses the student data, constructs the data matrix using the gray prediction algorithm, uses the least squares method, establishes the differential equation solution, and obtains employment prediction data. For the employment prediction can be known to the innovation and entrepreneurship situation of college students, this paper further introduces the Logistic regression analysis, establishes a multivariate regression analysis algorithm based on the influencing factors of innovation and entrepreneurship, and provides theoretical support for the study of the influencing factors and the optimization mechanism of the management of innovation and entrepreneurship student management. This paper takes University H in Zhejiang Province of China as the research site to explore the current situation of innovation and entrepreneurship of its college students in depth. The students who choose self-help entrepreneurship in 2022-2023 only accounted for 2.42% and 2.04%, and the predicted percentage in 2024 is 1.93%, so the current situation of innovation and entrepreneurship is dismal. In the analysis of college students’ innovation and entrepreneurship influencing factors, the factors of specialty, personal work experience, and buddy entrepreneurship experience all showed significant differences (P<0.05). In the regression analysis of entrepreneurship education and entrepreneurship policy on entrepreneurial intention, the regression coefficients of entrepreneurship education and entrepreneurship policy are 0.276 and 0.136, respectively, which both reach the level of significance, and all of them are in a significant positive proportional relationship.

Innovation Subjects Impacting Business Model Changes in Chinese Wooden Furniture Manufacturers: An Empirical Study

Abstract In the era of a digital economy, business model innovation takes on a critical significance to the transformation of conventional manufacturing enterprises. Factors for the innovation originate from both inside and outside the manufacturing enterprises. Previous studies focused on external factors, and few on the main factors of innovation. With Chinese wooden furniture manufacturing enterprises as an example, the paper focuses on the effect of innovation subject factors on the formation and practice of business model innovation planning. It was found that employees of all ages and levels have different ideas about business model innovation practice, and learning and absorptive abilities of employees, entrepreneurship, and factors at all dimensions of enterprise culture at the organizational level play an active promoting role at different stages of business model innovation, among which enterprise culture has a regulatory effect. This study enriches the research field about the effect of innovation subjects on business model innovation behaviors, and provides reference for wooden furniture manufacturing enterprises and even conventional manufacturing enterprises to facilitate the realization of business model innovation.

Information society: current trends and features of development

The article examines the essence of the information society and emphasizes that the information society in the context of development and transformational changes of the modern information and communication paradigm is at the stage of reformatting institutional relationships. It is emphasized that the development of information technologies and the strengthening of innovative factors directly affect the socio-economic processes in society. In modern economic conditions, information is an important key strategic resource, the competitive place and market value of any enterprise and organization, as well as the development of society, the state, and the individual, depend on its attraction, analysis, and effective use. Different views on the interpretation of the definition «information society» are considered. At the same time, it is noted that there is a lack of a single point of view regarding the definition of the essence of the information society and the key characteristics and features of development. It was concluded that when interpreting the definition of «information society» it is necessary to take into account its global nature and constant transformations in the field of formation of information networks and systems. The analysis of economic concepts and theories regarding the formation and development of new communication technologies was carried out. It is noted on the features of the information society from the point of view of sociology, humanitarian and technocratic concepts. The key factors influencing the functioning and development of the information society are analyzed. It is noted that the development of information and communication technologies has caused the multifaceted manifestations of the essence of the information society. The processes of globalization and digitalization contribute to a faster transition from a post-industrial society to an information society. The influence of digitalization on the format of business conduct, as well as the results of the economic activity of business organizations, was also investigated. It was concluded that information technologies change the values, views, priorities of all subjects of economic relations. Acute issues related to the protection of information and personal data on all subjects of economic relations at both the macro and micro levels are analyzed. It is noted that issues of data and information protection are primarily in the legal and law enforcement sphere. The impact of digital inequality on the economic development of various regions of the world and ways to reduce the digital divide in the information society are considered. It was determined that in countries with a high level of economic development, there are trends towards a wider use of information and communication technologies in the economic sphere of states and regions, as well as in the everyday lives of citizens. It is noted that in the conditions of digitization of all spheres of society, new transformational changes are taking place in the formation and development of the information society.

How to Build a Systematic Innovation Factor in Stocks

How to Build a Systematic Innovation Factor in Stocks

Economic and mathematical modeling of the influence of the integral indicator of the formation and use of an intelligent economic system on the generalizing factor of the development of construction enterprises

The relevance of the research topic regarding the economic-mathematical modeling of the influence of the integral indicator of the formation and use of the intelligent economic system (IES) on the generalizing factor of the development of construction enterprises is proven. It was determined that the economicmathematical toolkit is an important innovative factor that allows the forming of a quantitative basis for building an intellectual economic system. The goal of the study was achieved in relation to the establishment of cause-andeffect relationships between the integral indicators of the IES and the development of construction enterprises based on economic and mathematical modeling. As part of the research, the following tasks were solved: assessment of the development of construction enterprises; definition of an integral indicator; determination of directions and features of economic-mathematical modeling of the influence of an integral indicator on the generalizing factor of the development of construction enterprises. A theoretical and methodological platform for the formation and use of an intelligent economic system is proposed. Theoretical provisions are systematized and the definition of IES of construction enterprises is proposed. A theoretical-methodological approach to the assessment of the development of construction enterprises is proposed, which is based on the application of quantitative and qualitative methods, and is characterized by economic, innovation-investment, social, corporate management factors, the use of human capital, brand and indicators characterizing the potential of construction enterprises and provides opportunities to obtain integral assessment for forecasting changes in the directions of development of business entities in the construction sector. A scientific-methodical approach to establishing causeand-effect relationships between the integral indicator of the development of construction enterprises and the generalizing factor of the formation and use of the intellectual economic system was developed, which is based on the application of economic-mathematical modeling tools, which made it possible to form a quantitative basis for making informed management decisions.

Research on Digital Inclusive Finance, Innovative Factor Allocation and High Quality Economic Development Based on Artificial Intelligence

Abstract This paper firstly organizes and summarizes the random forest model algorithm in artificial intelligence and secondly uses the XGBoost algorithm with the classification regression tree as the base classifier to explore the relationship between digital financial inclusion, innovative factor allocation and high-quality economic development. Major databases and relevant websites are used to establish the evaluation index system, and the index homogenization is done. The economic high-quality development score is measured using the principal component analysis next. Finally, the principal component scores are weighted and summed according to the proportion of the variance contribution ratio of each principal component to the cumulative variance contribution ratio of the extracted principal components. After calculating the score, it was found that the innovation indicator, which had risen year after year between 2014 and 2018, decreased significantly from 2019 onwards, with the score falling from 2.21 to 1.48, a decrease of 33%. The growth rate of digital financial inclusion declined from 0.93 and finally maintained at 0.45 to 0.47. The economic development index first grew from -11.88 to 2.41, increasing by 3 to 5 each year, and then the growth rate was maintained at about 66%, growing to 6.58 in 2022.

A Machine Learning-Based Approach to Identifying Key Innovation Determinants for Industrial Firms: The Case of the Pharmaceutical Industry in China

With abundant resources consumed by innovation practices, it is of strategic importance for industrial firms to identify key determinants of innovation performance from both internal and external environments for better and effective innovation management. To this end, this article develops a new machine learning-based approach to examine a variety of factors influencing innovation performance. In particular, a two-process modeling approach is developed to build machine learning models efficiently for identifying key internal and external innovation factors. With extensive experiments using data collected from China's pharmaceutical industry, the approach identifies a set of key internal and external innovation factors and their best configurations in terms of two commonly used innovation performance measures. The findings enable pharmaceutical firms and local governments in China to manage innovation efforts and formulate management strategies for promoting industrial innovation. The article contributes to innovation management research by providing an objective and data-oriented approach for comprehensively exploring internal and external innovation factors and establishing their relationships with expected innovation performance. Although the approach is exemplified by China's pharmaceutical industry and the results cannot be generalized, it has general applicability to other industries or countries.