Innovation Growth Research Articles

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to discover holistic, multi-perspective (e.g., local, cultural, national, and international), and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from the academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media and Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months from March 2021 to August 2022 to showcase the public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles. Discovering system parameters are required to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The work presented in this paper has significant theoretical and practical implications in that it improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, holistic, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies.

Innovative Technology Method Based on Evolutionary Game Model of Enterprise Sustainable Development and CNN–GRU

Realizing the sustainable innovation growth of enterprises is one of the important research directions of management science. Traditional enterprise growth innovation methods cannot effectively estimate the emotional tendency of online public opinion (PO), and they cannot guide the effective growth of enterprises. For this reason, This paper proposes an enterprise growth innovation technology based on the evolutionary game (EG) model of sustainable development and deep learning (DL). Firstly, by obtaining the game payment matrix between network users and enterprises, combined with the deep neural network model, the PO evolution model of the enterprise growth network was constructed and solved. Then, a convolutional neural network (CNN) model was used to extract sequence features from global information, and a gated recurrent unit (GRU) was used to consider the context. A DL network model based on CNN–GRU was proposed. Finally, by introducing the EG model, a stable strategy was generated through the dynamic adjustment of the whole system, which improved the accuracy of online PO judgment. Through simulation experiments, the enterprise growth innovation method proposed in this paper was compared with the other three methods. The results show that the accuracy, precision, recall, and f1 value of this method are 92.21%, 89.33%, 91.86%, and 91.64%, respectively, which are better than the other three methods. This method is of great significance for promoting enterprise innovation technology and sustainable development of enterprises.

Advances in Maternal–Fetal Imaging

Advances in Maternal–Fetal Imaging

Technology innovations impact on carbon emission in Chinese cities: exploring the mediating role of economic growth and industrial structure transformation.

China seems ambitious to achieve a "carbon emissions peak" before 2030 and "carbon neutrality" before 2060. To deal with this emissions mitigation plan, technology innovations are regarded as a crucial factor. However, considering its rebound effect (CO2 emissions driving effect) through economic growth, technology innovations might not prove a promising contributor to CO2 reduction. Therefore, there is a need to investigate further the nexus between technology innovations and CO2 emissions for conclusive debate. Based on the data of 215 cities in China, this paper uses mediating effects model to investigate the direct and indirect impacts (through economic growth and industrial structure transformation) of technology innovations on CO2 emissions from a microeconomic perspective. The main results suggest that technology innovations generally increase CO2 emissions in China both directly and indirectly. The impact of technology innovations and economic growth on CO2 emissions indicated the EKC characteristics. Furthermore, the contributions of technology innovations to CO2 emissions are distinguished in different regions. Thus, there is an urgent need for China to promote innovations in "clean technology" and to transform industrial structure to the tertiary industry to achieve the targets of carbon neutrality and emissions peaking.

Problems of ensuring effective Russian Federation industrial enterprises innovative activities management

The transformational processes taking place in the Russian economy over the past few years necessitate the development of new ways and methods to ensure the effective management of innovative activities of industrial structures. Before starting to solve this problem, it is necessary to identify the key problems that require prompt elimination in order to create a basic platform for improving domestic innovation management. The purpose of the scientific article is to study the innovative activity of Russian and foreign industrial enterprises and identify problems that hinder innovative growth. In the process of achieving this goal, methods of statistical, portfolio, structural analysis and synthesis, generalization, analogy, and system analysis were used. Based on the results of the analysis carried out by the author, recommendations were formed to ensure effective management of the innovation activity of domestic industrial enterprises. Scientific conclusions and proposals are of high importance for the development of theoretical and methodological provisions of innovation management and acceleration of economic and innovative growth of the Russian economy. Thus, the scientific recommendations and conclusions formed in the work can serve as an information base for the management of industrial structures in determining the vector of strategic development and increasing competitiveness. A strategic guideline for further research is the development of author's recommendations for ensuring effective management of innovation activities and improving the methodological tools of innovation management using modern digital technologies.

Impact of Pilot Zones for Green Finance Reform and Innovations on green technology innovations: evidence from Chinese manufacturing corporates.

Green technology innovation is a crucial factor in the global quest for sustainability. In 2017, China approved the establishment of Pilot Zones for Green Financial Reform and Innovations to build and improve the green financial system. Using a difference-in-difference (DID) model, this paper examines the impact of this pilot policy on corporate green technology innovation and its transmission mechanism based on the data of green patents of Chinese A-share listed manufacturing companies between 2014 and 2019. It is found that Pilot Zones for Green Financial Reform and Innovations have contributed to the growth of green technology innovations. This conclusion is confirmed after a series of robustness tests. The pilot policy's promotion of green technology innovations is mainly reflected in the application of corporate green invention patents. However, it is more significant for non-heavy polluting enterprises, high-tech certified enterprises, and large enterprises. The paper also finds that the pilot policy promotes corporate green technology innovation by promoting social financing, talent support, and government financial support.

Spatial disparity of urban performance from a scaling perspective: a study of industrial features associated with economy, infrastructure, and innovation

ABSTRACT The power-law scaling theory has been widely applied in urban studies. Industrial development is tied to cities. However, current research on scaling pace development of industrial features in cities, and industrial features’ association with urban indicators in cities are limited. This study develops power-law scaling regression and robust geographical detector-based spatial models to (i) identify spatial disparities of urban performance from a scaling perspective and (ii) explore the spatial association between industrial scaling features and other urban features. The developed models are implemented in three essential industries, including mining, manufacturing, and utility supply and waste services, in Australia. This study investigates urban scaling features in 101 Australian significant urban areas (SUAs) and assesses the spatial association between industrial features and indicators from the perspectives of the economy, infrastructure design, and innovation. This study has general results on Australian urban scaling development and specific spatial association results on industrial scaling features. In general, the study validates the consistency of the scaling development among Australian cities with the power-law theory and the similarity of scaling disparity features among top-populated cities. In specific, the urban innovation indicator and the income level are predominantly and positively associated factors with industrial companies and employees, indicating that the innovation growth and economic development in Australian cities would stimulate the performance of industrial companies and the employment scale. The synergy between urban innovation and industrial company performance is especially significant in major capital cities. The developed spatial models have a broad potential to address spatial and scaling characteristics of industrial features.

The state's contribution to the conception and growth of open innovation in Russia

The state's contribution to the conception and growth of open innovation in Russia

Digital Transformation, Top Management Team Heterogeneity, and Corporate Innovation: Evidence from A Quasi-Natural Experiment in China

Digitalization has brought great changes to economic and social development, and corporate digital transformation has gradually become the focus of academic attention. We explore the economic impacts of digital transformation from the perspective of corporate innovation utilizing a sample of China’s A-share listed manufacturing firms from 2008 to 2020, depending on the quasi-natural experiment of “Integration of Informatization & Industrialization”. Using the difference-in-differences (DID) model, we document that the growth of innovation considerably tends to rise via corporate digital transformation, and top management team (TMT) heterogeneity plays a positively moderating role in this process. The findings are still reliable after the parallel trend test, PSM-DID, placebo test, and the test of excluding alternative explanations. Extended analyses find that the innovation incentive effect of digital transformation will enhance corporate value in the later stage. Our findings not only contribute to the advancement of the study in digital transformation, but also offer theoretical support and useful advice for furthering corporate digitalization and upgrading the mechanism for creative growth.

Does Innovative City Pilot Policy Stimulate the Chinese Regional Innovation: An Application of DID Model.

Urban innovation has always been a research topic of scholars, but research focusing on the relationship between innovative city pilot policy and regional innovation is still relatively rare. The objective of this study is to examine the impact of the pilot policy on urban innovation convergence based on panel data in China from 2003 to 2016. The difference-in-differences (DID) method was used. First, we find that the pilot policy not only improves the innovation level of cities (basic effect) but also promotes innovation convergence among pilot cities (convergence effect). The convergence of scientific and technological personnel and financial technology investment are potential impact mechanisms. Second, compared with the basic effect, the convergence effect of the pilot policy has a time lag of three to five years. Regarding spatial spillover, the policy convergence effect is slightly smaller than the basic effect radius (although not robust). Finally, while the spillover effect caused by policy increases the innovation growth rate of surrounding cities more significantly, the basic and convergence effects are not significant in the western region. The results reveal the positive impact of the pilot policy on narrowing urban innovation gaps and highlight the risk of further marginalization of some cities. These findings contribute to accurately evaluating the regional innovation differences and provide an important policy implication for development strategy.

Innovative growth and development of a neurological surgery residency cadaveric skull base simulation training program: A single institution experience

ObjectiveNeurosurgical cadaveric and simulation training is a valuable opportunity for residents and fellows to develop as neurosurgeons, further neuroanatomy knowledge, and develop decision-making and technical expertise. The authors describe the growth and development of Oregon Health & Science University (OHSU) Department of Neurological Surgery (NSG) resident hands-on simulation skull base course and provide details of course layout and setup. MethodsA three-part surgical simulation series was created to provide training in cadaveric skull base procedures. Course objectives were outlined for participants. Residents participated in NSG hands-on simulation courses (years 2015–2020) and completed annual course curriculum and anonymous course evaluations, which included free text reviews. Courses were evaluated by Likert scale analysis within Python, and free text was quantified using Valence Aware Dictionary for sEntiment Reasoning (VADER). Descriptive statistics were calculated and plotted using Python’s Seaborn and Matplotlib library modules. ResultsAnalysis included 162 skull base (anterior fossa, middle fossa and lateral, and endoscopic endonasal-based) simulation course evaluations. Resident responses were overwhelmingly positive. Likert responses demonstrated high average responses for each question (4.62 ± 0.56 and above). A positive attitude about simulation courses is supported by an average compound sentiment value of 0.558 ± 0.285. ConclusionThis is the first time Likert responses and sentiment analysis have been used to demonstrate how neurosurgical residents view a comprehensive, multi-year hands-on simulation training program. We hope the information presented serves as a guide for other institutions to develop their own residency educational curriculum in cadaveric skull base procedures.

The influence of the number of patents on the economic growth of the country: Evidence from Serbia and Hungary

Background: One of the indicators of a country's innovation is the total number of registered patents. This paper analyzes the number of registered patents and the impact they can have on the country's economic growth and innovation.. Purpose: The paper aims to determine whether there is a positive impact of market verification of the results of research and development activities, measured by the number of patents per million inhabitants, on economic growth and the growth of innovation in the country. Study design/methodology/approach: Quantitative research design was applied in the analysis since the task was to investigate the influence of the number of patents on the economic growth of the country. The empirical research covered two countries-Serbia and Hungary. It used secondary data from the international databases of the World Bank and World Intellectual Property Organization, covering the period from 2008 to 2018. Finding/conclusions: The results of the empirical research showed that the increase in the number of patents per million inhabitants contributes only to the innovation index's growth in Hungary. On the other hand, in the case of Serbia, there is no statistically significant relationship between the number of patents per million inhabitants and the country's innovation index, or the number of patents per million inhabitants and GDP per capita. Limitations/future research: The limitations are: the small number of analyzed countries and the number of indicators analyzed. Therefore, in the framework of future research, it would be desirable to expand the analysis to more countries and establish the impact of patents on more indicators of innovation.

Research on the Construction of Online Open Courses in Higher Education Institutions under the Background of "Three Education" Reform

The creation of online open courses at higher education institutions, as a newly developing higher education teaching mode, has significant potential for development and broad application prospects due to the rapid development and widespread application of information technology. Online open courses have the potential to boost higher education's reputation and standard while also encouraging resource sharing and globalisation of the sector. Yet, there are still certain issues and difficulties with the design and execution of online open courses in higher education institutions, such as a lack of technical assistance and other issues. To address these issues and difficulties, it is essential to boost teaching design and implementation, resource development, platform development, teaching quality monitoring, and course improvement. This will help to further enhance the teaching quality and efficacy of online open courses. The promotion of these initiatives will aid in the digital transformation and innovative development of higher education institutions, enhance the comprehensive quality and efficacy of student learning, and promote the long-term sustainability of higher education as well as the growth of innovation and entrepreneurship.

Резільєнтність національної системи вищої освіти: оцінка, напрямки посилення.

A competitive national educational system is the key to the development of the national economy, innovative growth and ensuring a decent quality of life for the population in the country. The aim of the study is to assess the resilience of the higher education system and to develop directions for post-war reform of the national higher education system on the basis of resilience. The article presents the authors’ own vision of the conception of resilience of the national system of higher education. The authors have identified and substantiated the main factors that ensure the resilience of higher education. A comprehensive characterization of the factors of resilience formation is proposed and their quantitative and qualitative parameters are analyzed. Based on the analysis of statistical data, it is defined that the national education system is sustainable and maintains its structural integrity despite the influence of destructive external factors. An important sign of resilience during martial law is academic continuity. It is found that the educational system is determined by different types of educational institutions, a wide range of educational programs, a variety of approaches to building an individual educational trajectory. It is substantiated that the national educational system is characterized by sufficient stability and diversity, but this is not a sufficient condition to ensure its resilience. The resource provision of the national system of higher education is examined. The financial resources of the educational system are emphasized and their insufficiency to ensure the resilience of the system is proved. According to the results of the correlation analysis, it is determined that there is a close relationship between the level of financing and the choice of a country of study by potential students. Based on the results of the study, directions for strengthening the resilient national system of higher education are identified. The proposed measures are systematized according to three main factors of ensuring the resilience of the educational system

ENTREPRENEURIAL ECOSYSTEM FORMATION: THEORETICAL ASPECTS

Background. Modern trends, such as globalization, open markets, the development of knowledge-intensive industries, artificial intelligence, automation, and robotics, lead to a decrease in the need for labor since many tasks that humans previously performed can now be performed by machines. According to World Bank forecasts, about 600 million new jobs will be needed by 2030 to fill the growing global workforce. The international community recognizes that entrepreneurship can effectively perform the mentioned task, which makes its development and support a priority of the state policy of various countries. In developed countries the importance of creating entrepreneurial ecosystems as an environment and stimulus for the growth and support of entrepreneurship and innovation is recognized. However, there is no single definition of an entrepreneurial ecosystem, and the factors that contribute to an entrepreneurial ecosystem’s success are still being explored. Therefore, the purpose of the article is to summarize the existing theoretical approaches to the definition of the entrepreneurial ecosystem and its key elements. The object of research is the entrepreneurial ecosystem, which is considered a complex system consisting of various interconnected elements, including entrepreneurs, investors, mentors, educational institutions, and government bodies. Methods. General scientific and special research methods were used, including the system method, methods of analysis, synthesis, abstraction, and generalization. Results. The entrepreneurial ecosystem was defined as a set of legal entities and individuals from various sectors, different in nature of the activity, which functions for the development of innovation and entrepreneurial activity by combining the efforts of various groups of stakeholders. Key components of the entrepreneurial ecosystem include policy development, infrastructure, finance, innovation, markets, support, culture, and human resources. Entrepreneurial ecosystems can be developed through various activities such as creating an enabling environment for entrepreneurship, providing support to entrepreneurs, and raising awareness of entrepreneurship. Conclusions. The research demonstrated the high importance of entrepreneurial ecosystems for the development of business, described its major components, and identified the roles of the key stakeholders in the process of entrepreneurial ecosystem formation.

A Nexus Among Technology Input, Research Activity, Innovation, and Economic Growth: A vis-à-vis Analysis between Asia and Europe

This study attempts to analyze the influence of technological infrastructure development and the spill-over effect of dynamic growth of technological innovation on the Asian and European economies. Compared to European countries, the economic infrastructure of Asian countries has transformed significantly during the last three decades. Technological progress and higher growth of available engineers and researchers have become pivotal endogenous determinants in the aggregate production function and eventually became the key drivers of economic growth. Compared to European countries, rapid investment in technology import and a higher number of technologically competent available workforce galvanized uplifted and speedy productivity rates, causing positive economic growth in the Asian economy. The interrelation between technological progress and economic growth is summarized and analyzed by using quantitative methods. The paper stu­dies the nexus between technological progress, the availability of engineers and researchers, and economic growth by applying the dynamic Generalised Method of Moments (GMM) method to the available quantitative data (2013-2017) of chosen Asian and European countries. The econometric results show a significant effect of technological progress and innovation on economic growth. The empirical insight is of particular interest to policymakers as it helps to enhance internal and external technology and innovation development policies for sustainable economic growth in Asian and European countries.

ОСНОВНІ АСПЕКТИ ПЕРЕХІДНОГО ПЕРІОДУ МІЖ ПРОМИСЛОВИМИ РЕВОЛЮЦІЯМИ (НА ПРИКЛАДІ ЕЛЕКТРОЕНЕРГЕТИКИ)

The variability of the energy sector was studied in the periods between industrial revolutions, i.e. the restructuring of the system of production, consumption, transportation and supply of energy resources under the influence of a changing external environment. Specific trends were described in mineral extraction after 1900 and shown that the global increase in coal mining and hydrocarbon production from 1900 to 2019 increased the annual production of fossil carbon approximately 20 times, from 500 Mt in 1900 to 6 .7 Gt a century later and to 10.2 Gt in 2019. Because of the asymmetric distribution of minerals, this production led to global oil trade, but the analysis showed that there were significant limits and exceptions where global growth resulted in absorption and reduction of national production or a complete cessation of fuel production. Technical improvements were the most important factors in this cheap and productive extraction, transportation, and processing, as well as increased environmental friendliness. We have shown in the study that there has been a noticeable shift in the direction of higher-quality fuel, that is, from coal to oil and natural gas. The result of this process was the relative decarbonization of global fossil fuel production, while the absolute level of CO2 emissions in the atmosphere increased. In the article, we proposed promising directions and areas that require increased investment due to the needs of increasing the competitiveness of the economy, achieving overall sustainable development and the growth of energy innovations as a favorable factor that ensures the formation of Industry 4.0. We have determined that the development of leading technologies is a promising direction for ensuring the growing consumption of industry in the conditions of Industry 4.0. Technological changes are so powerful that they make our age both the most promising and at the same time full of threats in the history of mankind. The scientific provisions, conclusions and proposals formulated and substantiated by the authors can be applied for further scientific developments and at the legislative level to solve the problem of improving the energy sector in the conditions of the formation of Industry 4.0.

Preface

We are pleased to formally welcome each and every delegate to the 4th International Conference on Global Issues for Infrastructure, Environment, and Socio-Economic Development (4th GIESED) on behalf of the organizing committee and the conference chair. The conference is an annual event curated by the Graduate School, Hasanuddin University, and supported by the Hasanuddin University Makassar.The main goal of the conference is to facilitate scholarly communications and the sharing of information and concepts among experts and academics in the fields of infrastructure, environment, and socio-economic development, which include current topics like climate change, the use of renewable resources, and sustainable development. The opportunity for graduate students to present their research in front of professionals from academia and industry for scholarly feedback is the other major goal of the 4th GIESED. Additionally, it offers the chance for industry professionals and academics from universities to interact with the technical community, exchange experiences, and gain knowledge from the most recent technological advancements discussed at the conference. We sincerely hope that the 4th GIESED in 2021 offers an avenue for all delegates to engage in fruitful, useful, and useful discussions.This year’s theme is “Fostering Growth and Resilience in Science and Technology Innovation to Address Covid-19 Pandemic and Climate Change Crisis”. We would like to also express our gratitude to our invited speakers: Dr Peter Davey (Griffith University, Australia), Tim Hatch MPA (Alabama Disaster Agency, USA), Dr Michelle Peach (University of Rhode Island, USA), Thijs Sablerolle (Nexif Energy, Singapore), Prof Matsue Naoto (Ehime University, Japan), Prof Dadang Suriamiharja (Hasanuddin University, Indonesia), Dr Henri Bastaman (Ministry of Environment and Forestry, Indonesia), and Dr M V Reddy (Noveau Monde Graphite, Canada). Your attendance at our conference is truly an honor for us.We invited the participants to submit their manuscripts under the following major topics: infrastructure, environment, innovation, sustainable development, and renewable energy in order to further support this year’s theme. We are delighted to report that approximately 140 manuscript submissions were made through our submission system. We would like to congratulate 84 manuscripts that the board of reviewers determined to meet the scholarly standard after all manuscripts underwent a rigorous selection and peer-review process.List of Committees are available in this pdf.

Sustainable Data-Centric Project Curriculum for Industry-Ready Workforce

—The emergent technologies such as Artificial Intelligence, Deep Learning, Data Analytics, Blockchain, and Data Visualization have created an urge for the entry-level workforce to stay up to date with the industry’s analytics requirements. Since it is evident that the growth in technology and innovation rapidly changes the nature of data-centric jobs, organizations must put in a lot of effort to train their employees, especially in cloud-based sustainable work environments. Aligning academic curricula with industry requirements has been a necessity more than an option for providing sustainable solutions. Therefore, academia and companies should work together to address real-world challenges, saving a lot of money, time, and effort along with tremendous changes in the education sector. The main objective of this research paper is to explore pilot studies by designing projectbased courses specific to the data science disciplines for the students by examining current research innovations in technology and industry guidance and collaboration. To achieve this objective, we introduced courses in data science by proposing a Sustainable Data-Centric Project Curriculum. Industry-academia collaboration and offering courses relevant to current technologies play an essential role in cultivating a highly skilled workforce. Offering such courses will prepare students in computing disciplines (CSE, IT, and Data Science) to acquire the data analytics foundation to create an industry-ready workforce. Keywords— Project-Based Learning; Data Analytics; Industry Preparedness; Curriculum content innovation – Sustainable DataCentric Project (SDCP) Curriculum.

ГОСУДАРСТВЕННАЯ ПОДДЕРЖКА ИННОВАЦИОННОГО И ИНВЕСТИЦИОННОГО РАЗВИТИЯ РЕГИОНА

Innovation and investment potential is one of the basic conditions for achieving sustainable economic growth and development of the region. Innovation management requires state participation as a guarantee of the effective use of the generated resources in order to increase the welfare of the population during the transition to new economic realities, accompanied by a lack of financial opportunities and growing restrictions. The formation of an economy focused on sustainable development requires the development of priority areas of state support, enshrined in a set of regulations and targeted programs, while the importance of forming a regional management system that contributes to the growth of the region’s innovative and investment potential cannot be ignored. The regional policy for the development of innovation and investment potential makes it possible to create conditions for the successful building of a socially oriented society in Russia. However, the attention of the state to the support of territorial entities in the field of innovation development is limited. Regions and territories with a special status (ASED, science cities, etc.) are a priori in advantageous conditions, having more opportunities. In this situation, there is a disproportion in the distribution of state support between regions of different levels of investment and innovation activity. State support contributes to overcoming inequalities between regions, creating opportunities for equal access to resources and full-fledged innovative development. Russia’s transition to intensive development is impossible without the creation of a national innovation system that accumulates the investment potential of the regions and makes it possible to enhance the competitiveness of all types of industries. The transition to an innovative type of development requires a detailed study of the foundations of the formation of innovative and investment potential and factors affecting their level. It is necessary to develop methodological approaches to categorizing regions according to the level of necessary state support for the growth of innovation and investment activity.