Innovation Growth Research Articles

The state of regional economic security and the directions of its provision

Today, in an unstable international political situation, the urgent issue of ensuring national and regional economic security is more urgent than ever. Ensuring the stability of indicators of economic processes is to develop and improve a flexible system of protection measures against adverse external and internal factors and threats. It is the minimization of the impact of threats, as well as ensuring the stability and security of the economy in critical conditions that constitutes the essence of economic security. Based on objective and subjective factors, the subjects of the Russian Federation differ significantly in the level of socio-economic development and, as a result, in the level of economic security. Such a spread cannot but affect the level of security of the entire state. Regional specifics must necessarily be applied when assessing threats to economic security at the country level. In 2019–2020, the COVID pandemic significantly affected the state of not only regional, but also national economic security. The measures taken by the Government of the Russian Federation to stabilize the economic situation had a positive effect, but cost significant additional costs to both federal and regional budgets. Despite government support for business, there was a decline in the quality of life in the country, an increase in unemployment due to the reduction of staff by many enterprises, a reduction in workers' wages and other socio-economic phenomena that we consider as sources of risks and threats to economic security. As part of the study, an analysis of the state of economic security of the Voronezh region was carried out, threats to its economic security were identified and assessed. The state of economic security of the region in the period under study was negatively affected by: a significant increase in inflation against the background of the global crisis in 2020, a decrease in the share of investments in fixed assets, a drop in the index of industrial production, a drop in innovation activity, an increase in social tension. At the same time, the retail trade turnover per capita was marked by positive dynamics, the share of citizens with incomes below the subsistence minimum decreased, and the gross regional product grew. Among the threats to the economic security of the region, the most dangerous are: the increase in prices for goods and services, the slowdown in the growth of innovation and investment activity, the deterioration of the social sphere.

Attributes Influencing Effectiveness of Employees’ Innovation in Telecommunication Industry in Tanzania

This study aimed at examining attributes influencing the effectiveness of employees’ innovation in telecommunication industry in Tanzania using Tigo as a reference. Specifically, the study focused on the assessment of the influence of personal competence, leadership styles, technology and financial resources on employees’ innovation in terms of the number of employees’ creative ideas and projects turned into innovation. The study employed a cross-sectional survey strategy to collect data from a sample of 78 employees and openended questionnaires to collect additional information from 5 key informants who were senior members of Tigo, Tanzania. Descriptive statistics and Multiple Linear Regression were used to analyse data and test formulated hypotheses respectively. The findings show that leadership styles and technology strongly influence employees’ innovation in Telecommunication Companies. The study findings imply that it is very crucial for human resource directors to motivate staff to make them innovative. Also, ICT, research and development departments should be given more budgets and intensive trainings in order to build employees’ innovative capacity. Therefore, it is recommended that technology and leadership style should be seriously considered by company’s management when making strategies and plans for innovative growth in an organization particularly Telecommunication Industry.

Digital Health Care Industry Ecosystem: Network Analysis.

As the need for digital health care based on mobile devices is increasing, with the rapid development of digital technologies, especially in the face of the COVID-19 pandemic, gaining a better understanding of the industrial structure is needed to activate the use of digital health care. The aim of this study was to suggest measures to revitalize the digital health care industry by deriving the stakeholders and major issues with respect to the ecosystem of the industry. A total of 1822 newspaper articles were collected using Big Kings, a big data system for news, for a limited period from 2016 to August 2021, when the mobile health care project was promoted in Korea centered on public health centers. The R and NetMiner programs were used for network analysis. The Korean government and the Ministry of Health and Welfare showed the highest centrality and appeared as major stakeholders, and their common major issues were "reviewing the introduction of telemedicine," "concerns about bankruptcy of local clinics," and "building an integrated platform for precision medicine." In addition, the major stakeholders of medical institutions and companies were Seoul National University Hospital, Kangbuk Samsung Hospital, Ajou University Hospital, Samsung, and Vuno Inc. This analysis confirmed that the issues related to digital health care are largely composed of telemedicine, data, and health care business. For digital health care to develop as a national innovative growth engine and to be institutionalized, the development of a digital health care fee model that can improve the regulatory system and the cost-effectiveness of patient care, centering on the Ministry of Health and Welfare as a key stakeholder, is essential.

How does self-service technologies involuntary use affect customers’ intention to reuse?

In response to rising labor costs and the rapid growth of technological innovation, many companies are adopting new technologies in their service processes. The adoption of Self-Service Technologies (SST) has brought many benefits, such as faster transaction speed and lower processing fees. Although previous studies show a positive relationship between the level of perceived benefits and involuntary use of SSTs and customer convenience, it is uncertain whether the level of innovation and benefits can influence the relationship between involuntary use of SSTs and customer convenience. In this study, we set up a noble research model and investigated the relationship between customer convenience and involuntary use, which was influenced by two moderators based on a sample of 345 customers in Korea. The results suggest that involuntary use is negatively related to customers’ comfort in using SSTs. Moreover, the perceived usefulness and innovativeness of SSTs may moderate the effect of involuntary use on customers’ comfort. Furthermore, managerial recommendations are proposed for managers to develop strategies for applying SSTs in their services.

The Role of Community Colleges in Developing Creativity and Innovation Skills of Vocational Students ( The University College of Applied Science as a Case Study)

This study aims to identify the role of community colleges in developing innovation and creativity skills among the students who are enrolled in its vocational programs from their point of view according to the study variables of gender, age and province in the second semester of the academic year 2018/2019. Furthermore, it sheds lights upon the efforts paid by community colleges in order to develop the skills of innovation and creativity in their various vocational programs. In order to achieve the study purposes, the quantitative method is used and a questionnaire as a study tool has been developed, distributed among the study sample and analysed by (SPSS). The results indicate that the arithmetic average of all the questionnaire’s items reaches (3.98) and thus the relative weight is (79.65). This means that there is a great deal of agreement on the questionnaire in general. The study also showed that there are no statistically significant differences between the averages of the study sample responses in all areas of the questionnaire for the role of the University College of Applied Sciences in developing innovation and creativity skills for vocational students according to their views, which are attributed to the variables of the study with the exception of age and province .The study recommends the need to provide a range of physical and moral facilities in the vocational institution’s environment, which support the enhancement of the creativity and innovation growth of technical and academic staff, vocational curriculum and the management practices and policies

When is a DAO Decentralized?

While previously a nascent theoretical construct, decentralized autonomous organizations (DAO) have grown rapidly in recent years. DAOs typically emerge around the management of decentralized financial applications (DeFi) and thus benefit from the rapid growth of innovation in this sector. In response, global regulators increasingly voice the intent to regulate these activities. This may impose an excessive compliance burden on DAOs, unless they are deemed sufficiently decentralized to be regulated. Yet, decentralization is an abstract concept with scarce legal precedence. We investigate dimensions of decentralization through thematic analysis, combining extant literature with a series of expert interviews. We propose a definition of “sufficient decentralization” and present a general framework for the assessment of decentralization. We derive five dimensions for the assessment of decentralization in DAOs: Token-weighted voting, Infrastructure, Governance, Escalation and Reputation (TIGER). We present a discretionary sample application of the framework and five propositions on the future regulation and supervision of DAOs. We contribute new practical insights on the topic of compliance and decentralized organizations to the growing discourse on the application of blockchain technology in information systems (IS) and management disciplines.

Influence of innovative plant growth regulators on physiological and biochemical parameters and yield of Solanum tuberosum

Relevance. Solanum tuberosum L. – it is one of the main food crops, therefore, the study of the influence of innovative growth regulators on physiological and biochemical parameters and plant yield is very important for the agro-industrial complex.Material and methods. The research was carried out on the gray forest soil of the Orel region in the conditions of a vegetation house on the basis of the farm Stebakov V.I. in the period 2020-2021. Potato of the Nevsky variety was used as the object of the study. Treatment with growth regulators was carried out by soaking Solanum tuberosum tubers in aqueous solutions of melafene (10-6%), Energy-M (10-3%) for 8 hours. When laying the experiments, the optimal amount of nitrogen (2.3 g), phosphorus (0.7 g) and potassium (3.1 g) was introduced into the soil for potato. Was determined catalase, peroxidase activity. The amount of hydroperoxides, an intermediate product of POL, was estimated by reaction with ammonium rhodanide, the content of malonic dialdehyde by reaction with thiobarbituric acid. The experiment was carried out three times. Statistical processing of the results was carried out by the method of one-factor analysis of variance using the computer program "MS Exel".Results. Studies have shown that there is an increase in the activity of catalase and peroxidase in all variants of the experiment compared with the control in leaves, in tubers – the activity of enzymes decreases. There was a decrease in the content of malondialdehyde in all variants of the experiment compared with the control. The analysis of the final productivity revealed that the total number of tubers on one bush of the potato in the variants with growth regulators changes slightly, while the mass of tubers increases, so the variant with the growth regulator melafen increased this indicator by 37% compared to the control.

The dark side of business model innovation

AbstractExisting literature has tended to focus on the positive benefits and outcomes of business model innovation (BMI), despite emerging evidence that BMI can also have a dark side, with negative consequences. We systematically review the existing BMI literature, articulating it around three clusters of negative consequences: those affecting the firm as an entity; those affecting the firm's stakeholders; and those that are specific or context‐dependent. In a similar fashion, we identify the driving factors and circumstances leading to these negative consequences and group them into four clusters: (1) managerial choices and processes, and three underpinning circumstances that influence such choices or processes; (2) trade‐offs between the new and current business models; (3) managers’ ability to manage BMI; and (4) context within which BMI is situated. The paper provides the first attempt to gather prior research on the phenomenon and thereby develop a conceptual understanding of the dark side of BMI. Furthermore, by proposing a model that explains how the dark side of BMI may occur, we inform ongoing debates on the theorization of the consequences that may derive from BMI and how these can be managed to support firms’ innovative growth, arguing how the disruptive innovation literature can only partially explain the phenomenon. Second, our model provides important foundations to further distil the complex link between BMI and performance. Finally, we suggest a number of future research avenues, accounting for different dimensions of the phenomenon.

Cycles of regional innovative growth

Abstract For academics and policymakers invested in regional economic development, two pertinent questions are how innovative city-regions rise and whether it is inevitable that innovative city-regions will fall. Using data from 8 million patents granted to U.S.-based inventors between 1850 and 1999, this study describes a general process that city-regions undergo as innovation begins, expands, declines and (sometimes) resurges in regions. The results of the study show that inventors experiment with a small number of promising, diverse and non-local ideas in the years before innovation in their home regions begins to grow, that inventors build on early locally introduced ideas as innovation in their home regions expands, and that inventors experiment with relatively homogeneous sets of ideas shortly before innovation in their home regions declines. The results also show that declining U.S. city-regions rarely experience second waves of local innovative growth. However, when they do experience second waves, those waves are anticipated by changes in the knowledge sourcing strategies of local inventors. In particular, the years leading up to second cycles of regional innovative growth, local inventors experiment with promising, diverse and non-local ideas.

Cluster commercial credit, financing constraint, and firm innovation

ABSTRACT This paper attempts to explain the continuous growth of firm innovation of Chinese enterprises from a new perspective of cluster commercial credit. Using data from the China Industrial Enterprise Database, this paper finds that cluster commercial credit can promote firm innovation by relaxing financing constraints, and this result is very robust and does not vary with the estimated model. The mechanism is further validated by the analysis after dividing the subsample according to ownership structure. This paper shows that although the capital market is not yet developed in China, firms can use cluster commercial credit to obtain financing for innovation.

Understanding Technological Input and Low-Carbon Innovation from Multiple Perspectives: Focusing on Sustainable Building Energy in China

Low-carbon technological innovation has been attached importance to realize cleaner future in buildings, transportations and industries. As a major carbon emitter country, it is important to evaluate China’s indigenous low-carbon technological innovation capacity. By analyzing the impact of economic and technological input indicators on the growth of low-carbon technology innovation, this paper conducts general regression and quantile regression analysis through the statistics of enterprise investment and patent statistics of low-carbon technology innovation in cities from 1990 to 2019. The empirical results show that when the economic and technological input increases, it has a positive impact on low-carbon technological innovation. Secondly, when the scale of low-carbon technological innovation in a region is still at a low level, the impact of technological input brings a strong marginal effect, but with the growth of the scale of low-carbon technological innovation, the marginal effect gradually decreases. In order to further observe the micro-level specific technology development, by taking China’s subdivided patents related to building energy efficiency (BEE) as an example, the dynamic changes of low-carbon innovation are explained and demonstrated with the green productivity factors. In case of Yangtze River Delta, the Moran Index increased from 0.031048 to 0.055296 from 2005 to 2020, and the influencing factors in each time period gradually increase, which reflects that the interpretation of BEE low-carbon innovation becomes more and more complex over time. Future research needs more combination of macro and micro to achieve more effective judgment and decision-making.

Interaction of Internal and External Organizations in Encouraging Community Innovation.

An area generally has a different character from other regions, including the limited resources that exist in the area. Therefore, it is necessary to strive to encourage human resources through various interactions, and one of the efforts made is the interaction of organizational capacity in the field of innovation. The purpose of this study is to analyze and evaluate the process of organizational interaction in the field of community innovation in Magelang City, Central Java Province, Indonesia. Secondary data sources from the Magelang City Research and Development Agency were 322 innovations from 2004 to 2019, while the primary data came from structured interviews with ten innovators. The findings of the analysis are presented with a qualitative description to evaluate the interaction of innovations in the context of local government organizations. The sampling technique in the study uses accidental sampling. The analysis tool uses participatory exploration that focuses on the government's efforts as an internal organization in encouraging the community as an external organization through the interaction of innovation. The findings of this study are the formation of informal organizations in the community through the interaction of innovations carried out through internal organizational mechanisms. The finding in this study is that the organization's internal interactions in innovation are proven to be beneficial for the community which encourages the growth of community innovation, increases people's income, and contributes to increasing Magelang City's Regional Original Income.

The Role of Small Manufacturing Enterprises in Innovation Development of the Real Sector of Economy: Economic and Statistical Study

The aim of the economic and statistical study presented by the authors is the evaluation of the role of small manufacturing enterprises in innovation development of real sector of Russian economy. Compared to developed countries, Russia is characterized by a relatively low innovative activity of small industrial enterprises, as well as by their smaller contribution to employment and to the increase of living standards of the population. At the same time, small industrial enterprises have the highest potential for innovation growth, especially in high-tech economic activities. The similarity of small enterprises’ definition in Russia and in the European Union, the magnitude of innovative activity of small enterprises in Europe, and the development of instruments to support innovative companies make studying the European experience in stimulating the innovative activity of small enterprises in the real sector of the economy in order to adapt it to domestic practice relevant.The authors reveal the potential areas of innovative activity growth for small manufacturing enterprises on the basis of foreign experience as well as develop recommendations on support for small entrepreneurship in industrial sector. The research is based on Community Innovation Survey (CIS), national reports of European countries on the topic, the federal statistical surveys № 4 and № 2-MP provided by the Federal State Statistics Service.The study revealed key drivers of European small enterprises’ innovative activity: well-developed cooperation with other organizations, substantial investment in R&D, broad coverage of small business enterprises with support measures. Best European practices of small enterprises’ innovative activity and the analysis of the main barriers of Russian small enterprises’ innovative activity allowed to define the promising directions for supporting small business the real sector of economy of Russia: developing modernization programmes for enterprises, extending the access to borrowed financial sources, developing cooperation ties between small business enterprises. The authors highlighted growth points of innovative activity of small manufacturing enterprises that can be taken into account while developing support measures in order to increase small business’ innovative activity, create new jobs and provide population employment.

University Innovation and Local Economic Growth

Abstract This paper identifies the extent to which knowledge from U.S. universities drives industry agglomeration. Establishment-level data indicate faster growth in employment, wages, and corporate innovation after the 1980 Bayh-Dole Act's shock to the spread of innovation from universities in industries more closely related to the nearby university's innovative strengths. Federal research funding amplified the effect. University knowledge spillovers strengthen with geographic proximity, density, and local skills. Consistent with spatial equilibrium models, the growth effect is driven by nearby entry in university-linked industries, especially of multiunit expansions; these firms disproportionately partner with universities in R&D, transfer IP, and innovate.

Cyber Harassment Detection on Social Network Using Deep Convolutional Neural Network

Abstract: Rate of innovation is increasing apace. This growth in innovation provides another dimension of communication. However, in spite of the very fact that innovation conjures up U.S. in numerous elements of life, it goes with completely different effects that influence folks during a hardly or the opposite means. Cyber Harassment is one in every of them. Social media provides a platform to speak with plenty, however it additionally becomes an area for negative comments and cyber harassment. Cyber Harassment is bullying dead through digital equipment’s like laptop computer and mobile devices. Cyber Harassment happens on social media, chat rooms and play platform wherever folks will read and share their own content. Cyber Harassment embrace causing hurtful messages posting sensitive photos or video on social media, and increasing mean rumors on-line. Cyber Harassment is large drawback. Thus, on forestall such drawback Cyber Harassment detection technique supported deep neural network is developed referred to as Convolution Neural Network (CNN). CNN is employed for the higher outcomes once contrasted with the present systems.

The Shariah Compliance of Islamic Peer-to-Peer (P2P) Lending Practices in Indonesia: Identification of Issues and the Way Forward

Shariah compliance is an important aspect of all Islamic financial instruments and transactions. With the growth of innovation in the finance industry, Islamic fintech's presence has added players, such as digital platforms, which need to comply with shariah. Therefore, this study aims to examine Islamic Peer-to-Peer (P2P) financing activity implementation as part of the fintech business model. Through a descriptive qualitative approach, a thorough analysis was conducted of digital contract papers, prospectuses, and the positions of parties involved in six Indonesian Islamic fintech companies. This involved analysing the shariah compliant quantitative characteristics of a company's prospectus, with financial reports related to interest, debt, and non-permissible income screening. The shariah compliance implementation is not only the duty of Shariah Supervisory Boards, but also involved all interested parties, namely investors, providers, partners, and business owners/borrowers. The results of the study show that shariah compliance in Islamic P2P platforms has been well enforced, therefore avoiding usury (riba), uncertainty (gharar), and gambling (maysir), while ensuring that businesses are offering halal products. Also, the results are expected to provide insight into shariah compliant fintech and how it can continue to develop in terms of Islamic financial products and services. In addition, this study can become a benchmark in the implementation of shariah compliant fintech products.

Monetary Policy and Innovation During Recession in Indonesia

The COVID-19 pandemic affected global economic growth, including Indonesia's economic recession for four quarters from Q2 2020 to Q1 2021. This study uses Schumpeter's growth theory to analyze the interest rate policies and innovations that encourage economic growth in Indonesia in the long term. This study uses a quantitative approach with the Auto Regressive Distributed Lag (ARDL) model with the variables of GDP, BI interest rates, consumption, innovation, and investment credit. The study results show that Bank Indonesia's accommodative interest rate policy with low-interest rates during the recession due to the Covid-19 pandemic positively influences economic growth. However, in the long-term, interest rates must compete with interest rates from other countries to encourage investment capital flows to Indonesia. The findings show that innovation has not yet affected economic growth in Indonesia, but economic growth fosters innovation to accelerate technology transfer from developed countries through foreign investment. Therefore, the support of the Government and Bank of Indonesia to provide incentives through tax breaks and low-interest rates to business actors developing R&D and innovation will encourage accelerating technology and innovation growth in Indonesia.

A study on the exploring the Obstacles that Prevent the Growth of Social Entrepreneurship and Innovation in Sri Lanka

As society looks for solutions promoting sustainable development, the relationship between innovation, entrepreneurship, and sustainable development is a topic of great importance today. In the context of sustainable development, social innovations also significantly contribute to the growth of sustainopreneurship. In light of the background, this study looks into the challenges Sri Lanka faces in fostering social innovation and sustainopreneurship. Data for the study were gathered through in-depth interviews with fifteen sustainopreneurs in Sri Lanka using the multiple case study technique. The study's findings point to a number of obstacles to the growth of social innovations and sustainopreneurship, including: a) competition from unsustainable firms; b) a lack of government backing; c) expensive costs; and d) people's attitudes about these types of ventures. This study adds to the literature on social innovations and sustainopreneurship due to the paucity of studies in this field. Practitioners and politicians can use the recommendations as important knowledge for future strategic changes.

Developing the tools to forecast the level of innovative growth of regions in the Russian Federation

Subject. Effective development of regions in the innovation sphere is impossible without a detailed analysis of the current state, identification of interrelations between various factors, and assessment of problem areas. Mathematical modeling in relation to the specifics of regional economy is insufficiently studied from a theoretical point of view and requires further improvement. The article addresses innovative processes and phenomena in the economy of regions. Objectives. The purpose is to develop tools to forecast the level of innovation-driven growth of the economy of regions of the Russian Federation. The goal is achieved through methods for constructing models to assess the level of innovation in regions and forecast their development. Methods. The study employs general scientific methods of the systems theory, deduction, induction, abstraction, formalization, as well as special methods of regression analysis of time series, and asynchronous harmonic analysis. Results. I developed scientific and methodological tools for assessing the level of innovative development. For practical implementation, I used algorithms for constructing models with lag variables, building an asynchronous harmonic forecast, and factor analysis. Conclusions. The developed tools can be used as a theoretical basis to support managerial decision-making in the field of strategic management of the regional economy.

Technology transfer efficiency of universities in China: A three-stage framework based on the dynamic network slacks-based measurement model

Despite being considered as the key provider of industry technology, universities still have a prominent issue of low efficiency in technology transfer. Understanding university technology transfer (UTT) efficiency from a decomposed perspective is essential because it traces the specific difficulties and UTT's improvement path. This study quantifies UTT efficiency from a sequential process encompassing research innovation, experimental development, and value creation stages in 31 Chinese universities. Based on the Dynamic Network Slacks-based Measurement (DNSBM) model, the stage efficiencies, inter-stage linkage efficiencies, and inter-period carry-over efficiencies can be evaluated. A Malmquist decomposition is further carried out to infer the paths and restrictions of efficiency enhancement. The results reveal that: 1) performance varies greatly across the three stages of UTT in China and the detachment of R&D and value creation efficiencies is prominent; 2) inter-stage linking efficiency losses manifest themselves in R&D output redundancy and trial contract inadequacy, while carry-over efficiency losses are primarily reflected in insufficient dynamic accumulation of funds; and 3) technical efficiency improvement plays a dominant role in total factor productivity (TFP) growth, particularly in the value creation stage. Breaking the barriers of TFP growth in the research innovation and experimental development stages hinges on technology progress, implying more resources should be allocated to improving R&D quality and trial success.