Technology Innovation Management Research Articles

The contribution of economic development, renewable energy, technical advancements, and forestry to Uruguay's objective of becoming carbon neutral by 2030

Uruguay has set a target of becoming carbon neutral by the year 2030, and this study looks into the role that economic progress, renewable energy utilization, technological innovations, and forest extent could play in reaching the goal. The Dynamic Ordinary Least Squares (DOLS) technique was applied to examine time series data from 1990 to 2021. According to the outcomes of the DOLS estimation, a one-percentage-point boost in economic growth is associated with a 1.16% increase in CO2 emissions. However, increasing the use of renewable energy by 1% is related to a reduction in CO2 emissions of 0.73 percent over the long run, as indicated by the coefficient of renewable energy being negative and statistically significant. The calculated long-run coefficient of technological innovations is negative and statistically significant, suggesting that a 1% increase in technological innovation causes a 0.11% cut in CO2 emissions. The long-run coefficient of forest area is notably negative and significant, which means that expanding forest area by 1% lessens CO2 emissions by 0.56%. The empirical results show that as Uruguay's economy grows, so do its CO2 emissions, but the country may get closer to its goal of carbon neutrality through the growing use of renewable energy, technological innovation, and sustainable forest management. The robustness of the outcomes was verified by utilizing the fully modified least squares (FMOLS) and canonical cointegrating regression (CCR) techniques. In order for Uruguay to reach its goal of carbon neutrality by 2030, this article offers policy ideas centered on a low-carbon economy, promoting renewable energy utilization, financing of technological innovations, and sustainable forest management.Graphical

Research on Technology Innovation and Income-generating Efficiency of Enterprises from the Perspective of Science and Technology Management

Under the background of technological innovation, enterprises gradually attach importance to building an innovation ecosystem to improve innovation and income-generating efficiency. However, how to carry out technological innovation in order to improve the efficiency of scientific and technological income generation is the key problem of enterprise innovation ecosystem research. In view of the relationship between technological innovation and income-generating capacity of science and technology. Based on the analysis of the difficulties of science and technology management, system dynamics and Pearson correlation method were adopted. From the perspective of qualitative and quantitative, the influence degree and relationship between science and technology innovation and income generation were analyzed. The results show that R & D investment and innovation platform are significantly positively correlated with corporate technological income. This paper puts forward the idea and implementation path of scientific and technological innovation management, and provides reference for technological innovation and income generation of enterprises.

A Bibliometric Review of the Evolution of Blockchain Technologies.

Bitcoin was created in 2008 as the first decentralized cryptocurrency, providing an innovative data management technology, which was later named blockchain. It ensured data validation without intervention from intermediaries. During its early stages, it was conceived as a financial technology by most researchers. It was not until 2015, when the Ethereum cryptocurrency was officially launched worldwide, along with its revolutionary technology called smart contracts, that researchers began to change their perception of the technology and look for uses outside the financial world. This paper analyzes the literature since 2016, one year after Ethereum, analyzing the evolution of interest in the technology to date. For this purpose, a total of 56,864 documents created between 2016 and 2022 from four major publishers were analyzed, providing answers to the following questions. Q1: How has interest in blockchain technology increased? Q2: What have been the major blockchain research interests? Q3: What have been the most outstanding works of the scientific community? The paper clearly exposes the evolution of blockchain technology, making it clear that, as the years go by, it is becoming a complementary technology instead of the main focus of studies. Finally, we highlight the most popular and recurrent topics discussed in the literature over the analyzed period of time.

Knowledge Management, a Path to Technological Innovation: A Comparative International Case Study of Engineering Companies in Japan, Ghana, and Northwestern China

A civil engineering company in Northwestern China faces communication and innovation challenges, preventing it from moving forward as an organization. These issues stem from challenges of managing knowledge related to technological innovation within the organization. While the company is developing new practices generated in its civil engineering design service, knowledge management system development is insufficiently adopted. Knowledge management has been proven to be an efficient means to create, identify, and share knowledge and best practices in developed countries such as the UK, Japan, and the US. This comparative case study explores the successful applications of knowledge management in technological innovation for companies like the one in Northwest China -- by comparing it to two different organizations in different countries. These companies were chosen as part of this research as they provide insights through the lenses of the macro and micro issues relating to knowledge management. The findings from the study should provide practical guidance for civil engineering companies to practice knowledge management of technological innovation.

Коммуникативное измерение государственной миграционной политики

The complication of the migration situation in the world, observed in the 21st century, necessitates the search for optimal mechanisms for regulating population migration both at the global and national and regional levels. These mechanisms must, firstly, correspond to the current heterogeneous configuration of international migration flows, the continuous dynamics of the migration situation, secondly, take into account the network nature of the development of social relations, and, thirdly, comply with modern innovative management technologies. In this context, issues are significantly updated that are directly or indirectly related to the disclosure of the communicative aspect of migration policy, an aspect that allows in modern conditions to qualitatively assess the effectiveness of solving state problems in the migration sphere, identify problem areas in the process of regulating population migration, determine the most effective approaches and measures of state migration policy. The purpose of this article is to make a communicative dimension of the modern state migration policy and reveal its information and communicative infrastructure. The research methodology includes a structural and functional analysis and a modeling method. Migration policy is interpreted as a separate sphere of activity of a number of interrelated communicators to organize and control population migration in the interests of the state. The main attention is focused on the communicative space of the state migration policy, which is presented in the format of two models: “two-dimensional horizontal” and “three-dimensional vertical”. This made it possible to analyze the impact of communicative networks on the process of regulating migration of the population, to show the specifics of information interactions between state migration management bodies, migrants and their associations, and intermediary organizations. As a result of the study, the role of formal and informal communications in the process of state regulation of population migration was determined, and the determining factors of the communicative structure of the state migration policy were identified.

Towards net zero emissions by 2050: the role of renewable energy, technological innovations, and forests in New Zealand

New Zealand has set a target of net zero emissions by 2050, and this study looks into the role that economic growth, renewable energy use, technological innovation, and forests could play in getting them there. The Dynamic Ordinary Least Squares (DOLS) technique was used to analyze time series data from 1990 to 2021. According to the results of the DOLS estimation, a one-percentage-point increase in economic growth is associated with a 0.24% increase in CO2 emissions. Furthermore, increasing the use of renewable energy by 1% is related with a reduction in CO2 emissions of 0.81 percent over the long run, as indicated by the coefficient of renewable energy use being negative and statistically significant. The calculated long-run coefficient of technical innovation is negative and statistically significant, suggesting that a 1% increase in technological innovation results in a 0.02% reduction in CO2 emissions. The long-run coefficient of forest area is notably negative and significant, which means that increasing forest area by 1% reduces CO2 emissions by 4.78%. The empirical results show that as New Zealand's economy grows, so do its CO2 emissions, but that the country may get closer to its goal of carbon neutrality through the growing use of renewable energy, technological innovation, and sustainable forest management. Alternative estimators, such as fully modified least squares (FMOLS) and canonical cointegrating regression (CCR), do not significantly affect the estimated results. In order for New Zealand to reach its goal of net zero emissions by 2050, this article offers policy ideas centered on a low-carbon economy, the promotion of the use of renewable energy sources, the financing of technical progress, and sustainable forest management.

Coupling and Coordinated Development of Digital Economy and Rural Revitalisation and Analysis of Influencing Factors

Under the strategy of digital technology development and rural revitalisation, the digital economy has gradually become a powerful engine for rural revitalisation and development. Based on the coupling coordination mechanism of digital economy and rural revitalisation, this paper constructs the index evaluation system of digital economy and rural revitalisation and empirically studies the development characteristics of digital economy and rural revitalisation by using the coupling coordination degree and grey relation model. The results show that during 2016–2020, the overall development level of digital economy and rural revitalisation in China is high in the East and low in the West. The coupling coordination between digital economy and rural revitalisation has significant regional differences and a downward trend, and the coupling coordination degree is positively correlated. The empirical results of the grey correlation model show that the number of postal employees and per capital grain production are the most important potential factors affecting digital economy and rural revitalisation, respectively. Finally, it is suggested that the government should continue to increase investment in science, technology, and agriculture, accelerate the project of cultivating high-level scientific and technological innovation and rural management talents, and strengthen regional cooperation and collaboration.

Reconfiguration of Technological and Innovation Capabilities in Mexican SMEs: Effective Strategies for Corporate Performance in Emerging Economies

Latin American SMEs currently have serious financial and technological limitations. These problems have generated poor progress in technological digitization, innovation management, and corporate performance. The purpose of this research is to first analyze the direct effect that digitalization has on the management of innovation and corporate performance of Mexican SMEs. Secondly, the moderating effect that technological barriers have on the digitization, innovation, and results of the corporate performances of Mexican SMEs is examined. This study compiles information from a sample of 4121 managers of SMEs in the service trade and manufacturing sector. The information collection technique was through a personal interview (online questionnaire) addressed to the owner and/or manager of the SMEs through the LimeSurvey Professional platform. The fieldwork was carried out during the months of January to July of the year 2022. The structural equations model (SEM) was used for data analysis, specifically with the statistical technique of analysis of variance through the partial least square (PLS). The findings revealed that digitization has positive and significant effects on innovation management and corporate performance. In addition, the results indicate that the barriers to digitalization as a moderating variable have been impeding development and digital transformation and reducing the results of innovation and corporate performance of Mexican SMEs. This study contributes to the development of dynamic capabilities theory.

IMPACT OF INNOVATION ORGANIZATION NETWORK ON THE SYNERGY OF CROSS-ORGANIZATIONAL TECHNOLOGICAL INNOVATION: EVIDENCE FROM MEGAPROJECT PRACTICES IN CHINA

The construction industry has made an indispensable contribution to China’s environmental and economic development. With the advent of the volatile, uncertain, complex, and ambiguous (VUCA) era, cross-organizational collaboration has enabled megaproject participants to engage significantly in problem-solving and technological innovation. The impact of innovation organization network on the synergy of cross-organizational technological innovation (COTI synergy) in megaprojects is imperative for theoretical researchers and engineering practitioners. Therefore, this study aims to develop a hypothetical model of innovation organization network and COTI synergy, focusing on the mediating role of interorganizational relationships and the moderating effect of the technological innovation environment. The results of 211 questionnaires from the Chinese construction industry show that innovation organization network improves COTI synergy. Trust and communication play a vital mediating role between innovation organization network and COTI synergy. Moreover, innovative culture has a significant positive moderating effect on innovation organization network and interorganizational relationships. From the perspective of organization network, this study provides new insights into the development of technological innovation management research on megaprojects, theoretical references, and practical suggestions for project teams in developing countries to improve collaborative technological innovation efficiency.

Economic aspects of forming innovative cluster based on regional transport system

The paper studies the technologies for creating an innovative cluster being a modern form of managing the development of the economic potential of the regional transport system, considers the main factors determining the features of the cluster management arrangement, analyzes the domestic experience in the formation of an industrial and transport cluster. It studies the organizational structure of transport cluster management, which implies the presence of a system of goals and their distribution among various management links of this system; composition of subdivisions and organization of intrasystem communications; distribution of functions and tasks, those rights and obligations within the organization that determine the ratio of decentralization and centralization. Innovation management technology is a relatively new concept in the scientific, technical, industrial, technological, and administrative fields of activity. Innovation management is based on the following key points: the search for an idea fundamental for this innovation; organization of the innovation process, promoting and implementing innovation in the market. The essential parameters and characteristics of the territorial innovation cluster.

МЕТОДЫ УПРАВЛЕНИЯ ПРОЕКТАМИ В ОРГАНАХ ГОСУДАРСТВЕННОЙ ВЛАСТИ

The article provides a detailed analysis of the applied methods of project management in public administration. Evidence of the benefits of using flexible management methods is given, since innovative project management technologies offer new methods that save resources, as well as the project budget. A review of the experience of using flexible project management technologies in public authorities in a number of Western countries is proposed, the advantages and disadvantages of this experience are identified.

Reverse vending machines vs. other ways of selective waste collection – research results

Purpose: The paper presents outcomes of the qualitative research on the use of reverse vending machines (RVMs) as equipment to facilitate the segregation and disposal of beverage packaging in Poland, in comparison with other ways of selective waste collection. The topic of innovative tools to support waste management gains particular importance in the context of the introduction of the deposit system for packaging in Poland. Design/methodology/approach: Our qualitative research aimed at identifying consumer behaviour and preferences regarding the selective waste collection. Simultaneously we evaluated experiences with the RVMs and related incentive programs. The research technique was focus group interview, supported by perceptual mapping. 5 interviews were conducted with citizens of Malopolska & Silesia Provinces, in localities where recyclomats from the pilot program were installed. Findings: The results show positive attitudes towards the RVMs among participants of pilot testing of such devices. RVMs are perceived as easy-to-use and environmentally friendly. Compared to other methods of selective waste collection, the highest rated in terms of cost to the user and suitability for the user were the containers for segregated waste. When evaluating incentive systems, respondents accepted only financial benefits. It can be assumed that RVMs can support the newly introduced deposit system for beverage packaging in Poland. Research limitations: Most of the focus group participants had been familiar with RVMs from the pilot program, but the mobile app dedicated to the devices was inactive during the study. This affected the overall user experience. Practical implications: The outcomes suggest that the comprehensive waste collection and recycling system in Poland should be supported by RVMs, and that such devices should be popularized. Social implications: RVMs could play an important role in environmental education for children and young people. The dissemination of recyclomats by retail chains and local governments will increase their availability and influence the formation of pro-environmental behavior of other consumer groups. Originality/value: The originality of our study is based on identifying Polish individuals' views toward innovative waste management technologies and demonstrating their influence on sustainable consumption. Keywords: reverse vending machines, recyclomats, consumer behavior, selective waste collection, research, Poland. Category of the paper: research paper.

СУЧАСНІ ТЕХНОЛОГІЇ УПРАВЛІННЯ ПЕРСОНАЛОМ: СУТНІСТЬ ТА КЛАСИФІКАЦІЯ

The article is devoted to the problems of researching the essence of the currently relevant concept of personnel management technology, and its interrelationship with the concepts of personnel technology, innovative personnel management technology, as well as improving and updating the classification of modern types of personnel technologies. Thus, the article highlights the main principles on which effective personnel management technology should be built. The study of approaches to defining the essence of the concept of "personnel management technology" was carried out, and the features and distinguishing features of the opinions of domestic and foreign scientists regarding the features and understanding of this concept were determined. A proper definition of personnel technology as a modern type of socio-economic technology is proposed. The classification of modern personnel technologies has been improved, as a result of which the following classification groups have been identified: marketing personnel technologies, personnel technologies of labor organization and optimization, personnel technologies of labor adaptation of employees, personnel technologies of loan work, educational personnel technologies, personnel technologies, used in selection and hiring, personnel-technologies of increasing the efficiency of labor use, personnel-technologies of personnel labor control, informational personnel-technologies. It has been established that the potential of existing methods, methods and tools of personnel management is almost exhausted, therefore the search for ways to increase the efficiency of the use of human resources moves to the area of implementation of innovative personnel technologies. It was determined that, despite the diversity of scientific research in the field of personnel management, modern innovative personnel management technologies in domestic companies have implementation problems due to the frequent manifestation of the phenomenon of "resistance to change", the impossibility of accurately calculating the effectiveness of the implementation of innovative technologies in the field of HR, the need to introduce personnel adaptation tools to the specifics of innovations.

New rural cultural industry evaluation index system: the driving force of regional development in Wenzhou

This article constructs a new evaluation index system for the development of rural cultural industries, aiming to comprehensively assess the performance of cultural industries in terms of economic development, social impact, cultural heritage and innovation, environmental sustainability, technological innovation capability, policy support and management, market competitiveness, and cultural soft power. Through systematic analysis and scientific measurement, this system not only fills the gaps in the existing evaluation systems but also promotes the scientific and standardized development of cultural industries, providing an important reference for local governments and relevant departments for supervision and management. The article elaborates on the specific indicators and their significance in each dimension and proposes specific policy recommendations for Wenzhou City to promote the prosperity and development of cultural industries, achieving the goals of rural revitalization and common prosperity.

The Relationship between Organizational Learning, Technological Innovation, and Organizational Innovation Capability – A Case Study of High-tech Enterprises in the Guangdong Hong Kong Macao Bay Area

This quantitative research objective is to focus on the core advantages of high-tech enterprises’ organizational innovation capability, takes organizational learning and technological innovation as the driving factors, and focuses on the two dimensions of organizational innovation capability: organizational technological innovation and organizational management innovation, and takes organizational innovation capability as the dependent variable, the independent variables are organizational learning (commitment to learning , shared vision, shared knowledge) and technological innovation (technological innovation input, technological innovation intermediate output), and the intermediary variables are cross-boundary behaviors (ambassador activity, task coordinator activity, scout activity). The reliability and validity of the developed organizational innovation ability improvement scale were verified. According to the proposed assumptions, design and improve the measurement scale of organizational innovation capability improvement and related variables, and use correlation analysis, regression analysis, and structural equation as the main methods of data validation to detect and measure the measurement scale of each concept and test the research assumptions involved in the research model. Secondly, this study mainly studies the relationship between organizational learning, technological innovation, and organizational innovation capability of high-tech enterprises. The hypopaper of the relationship between organizational learning, technological innovation, cross-boundary behavior, and organizational innovation capability of high-tech enterprises is put forward. Build a scientific model of the influence mechanism of “organizational learning technological innovation – cross-boundary behavior – organizational innovation capability”, and empirically test and measure the theoretical model and hypopaper by constructing an equation model and theoretical research methods. The results of this study prove that organizational learning and technological innovation have a positive impact on organizational innovation capability, while cross-boundary behavior plays a mediating role in organizational learning and technological innovation on organizational innovation capability.

Model for Strategic Management of Technological Innovation in Science and Technology Institutions in the Brazilian Aerospace Sector: A Proposal

Model for Strategic Management of Technological Innovation in Science and Technology Institutions in the Brazilian Aerospace Sector: A Proposal

Impact of enterprise ambidexterity capability and experience learning on cross-border M&A performance: evidence from China

Research background: Through cross-border mergers and acquisitions (M&A), enterprises in China can improve their technological innovation and organizational management capabilities to make up for the disadvantages of outsiders and enhance their international competitiveness. However, due to the lack of experience, the success rate of cross-border M&A of China enterprises is low, and the performance changes after M&A differ. How to maximize the advantages of cross-border M&A in obtaining technical resources and how to improve the performance of cross-border M&A are important issues that China?s cross-border M&A enterprises and academic circles need to solve. Purpose of the research: The aim of this study is to analyze the mechanism and boundary conditions of firms? capability to exploit resources (RTC) and capability to explore resources (REC) with regard to cross-border M&A performance from the perspective of experience learning based on organizational learning theory and resource-based theory. Methods: With 173 China A-share listed companies with cross-border M&A events from 2010 to 2020 as samples, this study uses hierarchical regression analysis to test the impact of REC and RTC on cross-border M&A performance and its mechanism. In the robustness test, this study adopts the measures of changing dependent and independent variables lagged for one year for analysis. In the mechanism test, this study uses intermediary and mediation effect models. Findings & value added: The results show that RTC and REC have positive effects on the performance of cross-border M&A. Prior experience learning (PE) and vicarious experience learning (VE) increase the probability of companies making cross-border M&A decisions and have positive effects on cross-border M&A performance. Moreover, PE and VE play a partial mediating role in the positive impact of REC and RTC on cross-border M&A performance, respectively. Formal and informal institutional distance weaken the positive effects of REC and RTC on the performance of cross-border M&A. Enterprises in emerging economies should adapt to the institutional environment of the host country to reduce the negative impact of institutional distance while taking advantage of experience learning when carrying out cross-border M&A.

Socio-technical challenges towards data-driven and integrated urban water management: A socio-technical network approach

Data-driven and integrated urban water management have been proposed to reduce surface water pollution in light of climate change and urbanization impacts. Besides technological innovation, data-driven and integrated management require information exchange among many actors, e.g., operators, engineers, or authorities. With the aim of achieving a more profound understanding of socio-technical infrastructures, such as urban water systems, I draw on the approach of socio-technical networks to study actors and infrastructure elements as well as multiple relations in-between. In this article, I investigate whether underlying socio-technical dependencies influence social interactions such as information exchange. More specifically related to data-driven and integrated management, I analyze potential challenges, such as organizational fragmentation, data access, and diverging perceptions. Based on empirical data from three case studies in Switzerland, I provide inferential results obtained from fitting exponential random graph models. Findings showed that actors’ relatedness to infrastructure elements affects their information exchange. Among the cases, the presence of the three challenges varied and is potentially contingent upon system size, organizational form, or progress in terms of data-driven and integrated management. Thus, incorporating a socio-technical perspective on social actors and infrastructure elements could help to improve policy design and implementation aiming to achieve more sustainable cities.

An econometric analysis of the potential emission reduction components in Indonesia

Emissions reduction and increasing environmental quality have become a global concern to ensure sustainable development and mitigate the negative impacts of global warming and climate change. However, there is a scarcity of research exploring the potential of emission reduction components by using econometric approaches. Thus, the present study investigated the role of economic growth, fossil fuel energy use, renewable energy use, technological innovation, agricultural productivity, and forested area to achieve environmental sustainability by reducing carbon dioxide emissions in Indonesia. Time series data from 1990 to 2020 were utilized by applying the Dynamic Ordinary Least Squares method. The empirical findings revealed that a 1% increase in economic growth and fossil fuel energy use will increase carbon dioxide emissions by 0.36% and 0.67% in Indonesia. Conversely, a 1% increase in renewable energy use, technological innovation, agricultural productivity, and the forested area may lead to carbon dioxide emissions reduction by 0.11%, 0.07%, 0.24%, and 2.87%, respectively in the long run. This article put forward policy recommendations in the areas of low-carbon economy, promoting renewable energy use, financing technological innovation, climate-smart agriculture, and sustainable forest management which would ensure environmental sustainability by reducing emissions in Indonesia. • This study investigates the potential of emission reduction components in Indonesia. • Dynamic Ordinary Least Squares method has been applied by using time series data. • The findings shed new light on renewable energy, technological innovation, agriculture, and forests to reduce emissions. • This article provides policy recommendations for sustainable development by reducing emissions.

Industrial enterprise innovative design management technology map

The ongoing global economic changes necessitate the formation of new approaches to innovation management that will contribute to sustainable development, economic growth and competitiveness of domestic industrial enterprises in the domestic and foreign markets. Solving the problems of rationalization and unification of innovation management is becoming increasingly important. The key goal of the scientific research is to develop scientific and practical recommendations for building a map of innovative design management technology that ensures the rapid adaptation of the enterprise to the conditions of constant change. In the process of achieving this goal, methods of structural analysis and synthesis, generalization, analogy, system analysis, and optimization were used. Based on the results of the analysis carried out by the author, a map of innovative design management technologies is presented, which provides managers of an industrial enterprise with management tools that contribute to the formation of a sustainable architecture for the innovation management process and make it possible to improve the current organizational and management structure using modern digital platforms and management decision-making tools. Scientific conclusions and proposals are of high importance for adjusting the innovation policy, determining the prospects and the basic vector of economic growth of domestic enterprises in the current operating conditions. Thus, the scientific recommendations and conclusions formed in the work can act as methodological tools for the management of industrial enterprises in determining options for solving the problems of economic growth and increasing competitiveness. A strategic guideline for further research is the development of existing approaches to enterprise innovation management, the unification of methodological tools for innovation management using modern digital technologies.