Industry Cluster Research Articles

Entrepreneurial orientation and SME export performance: Unveiling the mediating roles of innovation capability and international networking accessibility in the brass industry

PURPOSE: This paper answered the research gap on entrepreneurial orientation with a sample of small and medium-sized enterprises’ (SMEs) export performance and the mediating role of innovation capability and international networking accessibility that has not been tested in previous research. This study also tested the effect of entrepreneurial orientation on SMEs’ export performance in the global market. The mediating role of international networking accessibility and innovation capability on SMEs’ export performance also became another focus of this study. METHODOLOGY: This paper implemented a quantitative approach with 282 owners or managers of the SMEs brass industry cluster in Boyolali, Indonesia, who were examined using purposive sampling. FINDINGS: The findings of this study revealed that entrepreneurial orientation did not significantly affect SMEs’ export performance but did significantly affect innovation capability and international networking accessibility. Another empirical test found that innovation capability had significantly affected SMEs’ export performance and the international networking accessibility. International networking accessibility also significantly affected the performance of export SMEs. This study also found an important mediating role of international network accessibility and innovation capability in the relationship between entrepreneurial orientation and SMEs’ export performance. IMPLICATIONS: This study contributes to research investigating the effect of entrepreneurial orientation on performance by conducting in-depth studies on innovation capabilities and international networking accessibility. Many studies have tested the mediating role of innovation capability and international networking accessibility. The practical implication of this study is that it can help managers or owners of SMEs better understand and find optimal solutions through enhancing innovation capability and international networking accessibility, which can be instilled in the characteristics of SME owners or managers to improve performance. ORIGINALITY AND VALUE: The results of this study indicate the mediating role of innovation capability and accessibility of international networking on SMEs’ export performance. Therefore, the main contribution of the study is to determine the mediating role of innovation capability and international network accessibility in the relationship between entrepreneurial orientation and performance by integrating the theoretical perspective of the resource-based view (RBV).

A model for understanding industry cluster development among New World wineries

A model for understanding industry cluster development among New World wineries

The High-Quality Development of the Esports Industry in the Yangtze River Delta Region

eSports, as an active branch of the digital economy, has generated widespread influence globally and is exhibiting rapid development momentum in the Yangtze River Delta region. Based on an in-depth study of the eSports industry in this region, this paper analyzes the macro trends and micro mechanisms of the industry's development. Through empirical data and case studies, a systematic exploration of the development of the eSports industry in the Yangtze River Delta region is conducted. The research first clarifies the support policies for the eSports industry development by the governments of the three provinces and one city in the Yangtze River Delta and examines their effects. It reveals the positive role these policies play in promoting the formation and expansion of the regional game industry clusters. Secondly, it provides a detailed analysis of the evolution of internal enterprise cooperation and innovation models within the industry and uses models to predict main future trends of industry ecological changes. The paper also offers a rigorous assessment of the challenges, potential risks, and the impacts on the economic and cultural aspects faced by the industry's sustainable development, proposing strategies and recommendations to achieve ongoing advantages in global competition. Specifically, the research delves into how the eSports industry can leverage new information technologies, such as 5G networks, artificial intelligence, and big data analytics, as well as explores the potential for cross-integration with other industries, including education, tourism, and retail. The research also analyzes the region's global strategic layout of the eSports industry from an international perspective, focusing on the positive impact of international competitions on local economic development and brand image enhancement. In addition, through detailed studies of the eSports user group, it analyses how users' needs, consumer behavior, and market dynamics can promote the industry's healthy development. The paper also critically reflects on the social responsibility and ethical issues of quality development in the eSports industry, examining its potential effects on promoting social harmony and cultural dissemination, as well as its impact on the healthy growth of adolescents. By employing comprehensive research methods, this paper not only explores beneficial growth paths and models for the eSports industry in the Yangtze River Delta region but also provides strategic decision-making support for local businesses and government departments. It contributes to the mutual development and cooperation within and beyond the region's eSports industry chain. Towards the end of the study, the paper forecasts new opportunities and challenges for the Yangtze River Delta region in the global eSports industry due to the introduction of new technologies and changes in the international competitive landscape. It emphasizes the need to develop long-term plans and enhance the regional industrial support system. In conclusion, this research defines the position and role of the Yangtze River Delta region in the global eSports industry, analyzes key points for high-quality development strategies, and offers profound theoretical insights and practical guidance for promoting innovation, collaboration, and sustainable growth within the regional eSports industry.

Internal Logic, Path System and Practical Strategies of “Meteorology + Tourism” Integration and Empowerment

Abstract Meteorological resources are not only fundamental but also strategic tourism resources, which are the important foundation for the integrated development of meteorology and tourism. With the intensification of global climate change, the urgent need for healthy tourism in China’s mass tourism market after the epidemic, and the rapid development of meteorological science and technology, the natural and inseparable relationship between meteorology and tourism activities and tourism economy has become more and more prominent, and “meteorology+tourism” has become a new field that is the most active and most directly perceivable by the people in the utilization of meteorological resources and innovation of meteorological services. Meteorology + Tourism” is becoming the most active and directly perceivable new field in the utilization of meteorological resources and innovation of meteorological services, and the fastest-growing and most energetic new development direction of the tourism economy in various places. Research shows that promoting “meteorology + tourism” can drive the positive coupling of the two; the deep integration and two-way empowerment of meteorology and tourism in “all-round, all-time, all-process, all-factor, all-field” is not only related to the high-quality development of tourism and meteorology but also related to the quality of tourism experience and life safety of tourists. Tourism experience quality and life safety, opportunities, and crises are surging; through seven major integration paths, “meteorology + tourism” can give rise to trillion yuan scale emerging industry clusters and should become the new focus of China’s meteorological services and tourism industry and economy synergistic and breakthroughs.

Trends and Challenges in Reducing Supply Chain Emissions in the Automotive Industry Cluster: A Case Study of Toyota City, etc.

Trends and Challenges in Reducing Supply Chain Emissions in the Automotive Industry Cluster: A Case Study of Toyota City, etc.

Study on the Development Path of Guiyang Exhibition Industry Cluster

Study on the Development Path of Guiyang Exhibition Industry Cluster

СУЧАСНІ ТЕХНОЛОГІЇ ЗАЛУЧЕННЯ ФІНАНСУВАННЯ СОЦІАЛЬНИХ ІНІЦІАТИВ

The article discusses the development and establishment of crowdfunding as a modern technology for raising funds for the implementation of social projects and initiatives. The term "Crowdfunding" should be understood as a model of collective financing or collective cooperation of a large number of people who voluntarily pool their financial and other resources, mainly via the Internet, to support projects, organizations, other people, etc. The results of the study confirmed the conclusion that funding for social initiatives is decreasing not only in Ukraine but also abroad; the main reasons for this decrease are changing priorities in activities, financial problems of donors, etc. In the context of war, the main advantages of the crowdfunding model of fundraising, compared to traditional ones, include the following: the ability to accumulate a significant amount of resources from a large number of investors, the ability to determine the areas of expenditure more broadly, the speed of receiving funds, greater transparency of information about investment objects, accountability and responsibility of companies to the community of investors or donors, the presence of social impact, and the possibility of wider use of digital tools. Therefore, one of the current challenges is the formation and development of networks of crowdfunding platforms in Ukraine, based on the principles inherent in international platforms. The study reveals the dependence of the development of civic engagement and crowdfunding, in particular, it shows that the public manifests social initiatives through charitable and volunteer actions (targeted actions), as well as through the development of industry clusters (social enterprises), advocacy coalitions, etc. It is noted that financing through crowdfunding platforms allows accumulating not only financial assets, but also human capital in the form of a combination of skills and knowledge, developing the cultural capital of the local community; promotes social cohesion. It is emphasized that the implementation of social initiatives is more effective if the level of public trust in these projects and their actors increases.

Identification of Economies of Scale in Regional-Industrial Production Complexes of Russia: Theoretical Foundations and Econometric Estimates

International economic sanctions against Russia are aimed at blocking such a vital phenomenon as the scale effect. In this regard, it is necessary to search for internal reserves for the manifestation of this effect and use it to simultaneously stimulate economic growth and technological progress. The aim of the article is to develop a simple toolkit to identify the scale effect for any industries and regions of the Russian Federation in order to identify the most promising territorial-industry clusters, investments in which can give the maximum return in terms of production efficiency growth. The proposed method was tested by constructing universal econometric dependencies for the agricultural sector in 82 regions of Russia. The obtained quantitative results of the elasticity of labor productivity by production volume made it possible to map the country's agriculture into more and less promising regions. In addition to the effect of scale, the use of an additional factor - the achieved technological level of the region relative to the national average - allowed us to assess the possible structural effect of investment injections into the regional cluster of enterprises, to refine the applied calculations and to select 22 most promising subjects of the Russian Federation, of which 7 regions are capable of becoming the technological driver of the Russian agricultural sector of the economy. These calculations made it possible to draw a map of the most promising industry clusters in Russia. The issue of organizing the borrowing of advanced agrarian technologies within the country - from the advanced regions and enterprises to the lagging ones - is discussed. The inverse relationship between the achieved technological level of enterprises and the value of the scale effect has been established, which indicates the gradual exhaustion of this effect in the process of technological progress.

Research on the motivation, mode and performance of green transformation of textile companies

The characteristics of high pollution and high energy consumption of the traditional textile industry make it urgent for a comprehensive optimization and upgrading after the goal of “carbon peak and carbon neutral” in China. Based on the research background of “double carbon” target, this paper studies the transformation of the textile enterprises, choose has the country’s largest textile industry cluster of Zhejiang Shaoxing KeQiao for research object, through the questionnaire survey, field research, case study method found that: industry transformation effect overall positive momentum, but there are still competitiveness, power, the target. Furthermore, this paper selects typical enterprises and divides different forms of green transformation into substantive green transformation, arbitrage green transformation and stress green transformation. Moreover, it summarizes the main characteristics of transformation mode to create precise “5G”, innovate low energy consumption technology and promote green finance. Finally, the performance results of the three transformation modes are analyzed, which expands the research direction of the transformation mode for the green goal of energy conservation and emission reduction in the textile industry, points out a new road and provides new enlightenment for the exploration of the green transformation mode of enterprises. Green manufacturing is the decisive factor and the only way to realize the social sustainable development strategy, and is the inevitable trend of the development of manufacturing industry.

Mediating Factor of Strategy Business in the Relationship between Environmental and Business Performance

The purpose of this study is to examine the impact of the internal and external business environment on the formulation of business strategy, the impact of business strategy on business performance, and the impact of the internal and external business environment on the performance of the Service and Creative Industry Cluster MSMEs in DKI Jakarta. This study employs a quantitative approach to research, collecting data through observation and interviews and processing primary data derived from respondents' questionnaire responses. Using SEM-PLS 3 Version, the validity test, the reliability test, outer loading, the inner model fit (R-Square), the significance test (hypothesis test), and the F-Square Test are then utilized to assess the study data. F-square of 0.409 > f-square of 0.35, the External Environment has a moderate influence on Business Strategy. The moderate influence of the Internal Environment on the Outcome of Small and Medium-Sized Enterprises, as indicated by the F-Square value of 0.29, is accompanied by a modest effect. The finding from this research indicates that the service and creative industry cluster MSME actors in DKI Jakarta formulate business strategies to become Prospector, Analysts, Low-Cost Defender, and Different Defender based on or have different external environmental backgrounds in terms of demography, politics/law, economic conditions, and the technology used to run their respective businesses.

Impact of Financial Literacy on Access to Finance and Firm Performance: An Analysis of Growing Industry Cluster in Pakistan

The purpose of the study is to examine the significance of financial literacy on the relationship between access to finance and firm performance. In this study, the mediating role of financial literacy is investigated through a questionnaire distributed in the electric fitting sector in Sargodha. Electric fitting sector is a growing industry cluster in Sargodha, Pakistan which has experienced exponential growth during the past few years. However, limited access to finance has become a big hurdle in its growth. This study sheds light on the importance of financial literacy for owners and managers to increase their access to financial products and services to enhance business performance and growth. The study provides a solid foundation for academicians and policymakers to take essential measures that can promote the financial literacy especially in those sectors that are in the growth phase and require the attention from the national government to compete in the global economy.

Impact of marine industrial agglomeration on the high-quality development of the marine economy——A case study of China's coastal areas

Although the high-quality development of the marine economy has become a new paradigm to explore sustainable development in China, the path to its realization remains unclear. One path being explored in China is industrial agglomeration, but whether industry clustering leads to high-quality development of the marine economy has not been fully explored. Thus, the impact of industrial agglomeration on the marine economy deserves further investigation. This study first establishes a five-dimensional index system (innovation, coordination, greenness, openness, and inclusivity) to gauge the quality of marine economic development and then applies a hybrid method to evaluate each dimension. Furthermore, from an industry perspective, this study explores the influence mechanism of marine industry agglomeration on the high-quality development of China’s marine economy from several dimensions. The results show that (1) different regions have significantly different development levels, and the growth rates vary across each dimension. (2) From a broad standpoint, marine industry clustering has greatly promoted high-quality economic development in four sectors: innovation, coordination, openness, and inclusivity. However, its impact on green development has a time lag. (3) From the perspective of geographical heterogeneity, the impact of industry clustering is insignificant in the Bohai Rim region, positive in the South China Sea region, and negative in the Yellow Sea and East China Sea. Our study can enrich the research in this field and provide reference for the development of marine industry and marine economy in coastal areas.

Risk Analysis of Fresh Lemuru Fish Supply Chain at Banyuwangi Port

The abundance of lemuru fishery products around Coastal Fisheries Port in Muncar has led to the growth of a processing industry cluster made from lemuru fish which produces canned fish (sardines, tuna), fish flour and oil as well as frozen fish around Muncar port. Factories or industries whose raw materials require a large amount of money to move materials that are easily damaged will tend to choose their industrial locations around sources of raw materials. This shows that Indonesian people are aware of the nutritional contribution of consuming fish. The amount of production and consumption of this fish is also influenced by the season and weather so that the supply of caught fish is uncertain but the demand for fish is always increasing. Apart from that, other risks are inaccurate knowledge of fish handling, the distribution of caught fish that takes too long affects the decrease in the quality of fresh caught fish and the selling price of caught fish. Flying fish at Muncar Fishery Port is very dependent on the fishing season, so the availability of supplies fluctuates. The purpose of this study was to identify the supply chain structure and supply chain risks for lemuru at Muncar Fishery Port, analyze the highest risk factors in the lemuru supply chain at Muncar Fishery Port at each tier of fishermen, collectors and traders and recommends supply chain risk mitigation for lemuru fish for each tier at the Muncar Fishery Port based on risk identification.

Innovation for sustainability: Harnessing the power of efficient natural resource markets for a greener economic recovery

Amidst China's wealth of resources, not all are harnessed effectively. With a surging economy and population, enhancing ecological capacity through more efficient resource use is imperative. This study examines panel data from 2012 to 2020 to probe how wealth inequality influences 30 Chinese regions' resource efficiency. Rigorous analysis yielded strong explanatory power. Notably, disparities in green innovation capabilities and natural resource abundance emerge as primary drivers of differentiation. Findings indicate that a nation's wealth gap directly impacts its ecological innovation capacity and sustainable resource provision. Significant income disparities correlate with reduced resource efficiency, underscoring the role of economic inequality. Addressing this issue, strategies like industry clustering and eco-friendly tax policies can mitigate economic disparities' negative influence on resource efficiency. Furthermore, this study spotlights disruptive technological advancements, challenging the traditional inverse link between economic inequality and resource efficiency, and offering promising avenues for a greener future.

License recommendation for open source projects in the power industry

Context:Establishing secure and appropriate licensing procedures for open-source software is essential in the development of a decentralized renewable energy system within the smart grid industry. Nonetheless, software developers in the power industry encounter obstacles in comprehending and electing licenses on account of factors such as resemblances in terms, intricacies of the law, compatibility of licenses, and the slow development of the open source movement in the power industry. Objective:This paper aims to comprehensively examine the licenses of open source projects in the power industry, which is essential for the completion and popularity of projects. A novel framework consisting of two stages (i.e. data processing and recommendation) is proposed to analyze the current situation of open source license selection in the power industry. Method:By analyzing 274,442 open source repositories related to 40 electricity-related keywords from GitHub, we developed a machine learning-powered license recommendation methodology. We first employed the K-means method to cluster the selected repositories and identified 6 major clusters. Next, we utilized the random forest method to predict licenses for new repositories based on the clustering results. We evaluated the accuracy of the model by testing it on training and testing datasets and achieved 96% accuracy. Results:We found that open source repository clusters in the power industry have distinct licensing preferences reflecting their unique objectives, with MIT being the most popular due to its permissiveness, and GPL-3.0, Apache-2.0, and BSD-3-Clause being favored by clusters valuing copyleft principles, closed-source derivatives protection, and control over software use, respectively. In addition, the study recognizes the content of open source projects as a meaningful indicator for license recommendation. Conclusion:These insights substantially enhance comprehension of the distribution and the selection of open source licenses in the power industry, potentially aiding future research on license recommendation in this field.

THE IMPACT OF CLUSTERING ON COMPETITIVENESS AND BUSINESS PERFORMANCE OF SMEs: EVIDENCE FROM THE SERBIAN AUTOMOTIVE INDUSTRY

Clusters are widely regarded by scientific researchers and policymakers as effective tools for addressing the size constraints faced by SMEs. The increased involvement of local SME suppliers in supply chain restructuring has led to the extensive adoption of clusters in the automotive industry. Despite a wealth of literature supporting the economic advantages of clustering, the absence of quantitative evidence has constrained policy support for cluster development in numerous developing countries. This research aims to empirically compare the performance of clustered and non-clustered SMEs within the same industry. The primary objective is to quantify the impact of the Serbian Automotive Cluster on the competitiveness and business performance of Serbian automotive SMEs. Utilizing Stochastic Frontier Analysis and statistic tests, the methodology examines a balanced panel of 29 SMEs in Serbia’s automotive industry spanning from 2016 to 2018. The impact of clustering is analysed in terms of efficiency and effectiveness, crucial dimensions of business success. Total revenue is used to measure efficiency, reflecting an integral competitive indicator. Effectiveness is assessed using profitability indicators such as profit margin, asset turnover ratio, and return on assets. The research reveals that clustered SMEs in the automotive industry exhibit higher efficiency (competitiveness) and effectiveness (profitability) compared to non-clustered SMEs. The proposed methodology holds significance for evidence-based policymaking, providing empirical support for cluster policy. The paper introduces a novel quantitative assessment methodology for gauging the impact of clusters on SME members’ competitiveness and business performance. The unique approach adds value to the paper, as similar methodologies have not been previously applied in assessing the impact of clustering on efficiency and effectiveness, fundamental dimensions of business success. The suggested methodology holds importance due to its potential applicability in evaluating how clusters influence the performance and competitiveness of SMEs across diverse industry sectors in developing nations. Acknowledging the limitations of our research, notably the small sample size that focused solely on SMEs with publicly available financial statements, excluding numerous enterprises from the analysis, we underscore the significance of clustering in enhancing the business performance of SMEs in the automotive industry. This emphasizes the need for additional research in quantitatively measuring the impact of clusters, paving the way for further exploration in this direction.

Северный Кавказ: экономическая динамика первой четверти XXI в. (общероссийские тренды и региональная специфика)

The article examines the main trends in the economic dynamics of the North Caucasus macroregion of the Russian Federation in the first quarter of the 21st century. It is concluded that all the strategies for its socio-economic development implemented at this time had low effectiveness (most of the goals and key parameters recorded in them were not achieved), which, however, did not prevent the North Caucasus from demonstrating gg. fairly high rates of economic growth, mainly focusing on the development of a number of agricultural production sectors and associated light and food industry clusters. Since the mid-2010s. The recreational and tourism complex is becoming a noticeable driver of growth in all North Caucasian regions. Developing in line with all-Russian socio-economic trends (the process of metropolisation; the accelerated growth of the service economy and the service sector, the construction sector), the republics of the North Caucasus refracted them to their own demographic, settlement, economic, cultural, ethnosocial specifics, which was expressed in the sustainable preservation of a vast shadow sector , widespread small-scale commodity production in republican societies, high employment of the population in personal plots and in informal segments of the economy, and orientation of producers towards public investment. In 2022–2023 (the period of a special military operation), industry, agriculture, and the construction sector of most regions of the North Caucasus demonstrate growth rates that exceed all-Russian indicators - evidence of a fairly successful adaptation of the economy of the macroregion to new operating conditions.

Does Supply Chain Finance Improve the Corporate Investment Efficiency of New Energy Firms? Evidence from China

ABSTRACT This research investigates how supply chain finance (SCF) affects the investment efficiency of new energy firms by adopting a sample of Chinese listed new energy enterprises from 2011 to 2019. With the help of data envelopment analysis (DEA) combined with the Banker-Charnes-Cooper (BCC) model, we calculate efficiency values and analyze the regression results of the Tobit model, and find that SCF significantly boosts the investment efficiency of new energy corporations by improving their cash-holding position. The results of mechanism analysis also suggest that both supply chain concentration and digital finance positively magnify the relation between SCF and corporate efficiency. After comparing the impact in the new energy firms with different characteristics, we conclude that the SCF effect in promoting corporate investment efficiency is more prominent for non-state-owned new energy enterprises located in the western region that have low equity concentration. The conclusions of this paper shed new light on the fusion of the SCF business into building a new energy industry cluster.

Exploring the impact of partner match on business model innovation: the mediating role of interfirm dynamic capabilities-based on ecosystem orchestration perspective

PurposeWithin the context of an open innovation business environment, the frequent interaction and coordination activities among heterogeneous partners have a significant impact on enterprises' business model. Nevertheless, fewer empirical research has been made to explore how to match external partners and update organizational dynamic capabilities at an ecosystem level. Therefore, this paper attempts not only to investigate the direct impact of partner match on different business model innovation (BMI) themes (efficiency-centered BMI and novelty-centered BMI) but only to shed light on the pivotal mediating role of interfirm dynamic capabilities.Design/methodology/approachThis paper utilized the methodology of Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the impact of diverse partner selection criteria and interfirm dynamic capabilities on two distinctive themes of BMI. More than 20 industry clusters with multiple industries were selected as representatives of the creative ecosystem, predominantly from the Yangtze River Delta region. Valid data were collected from 254 managers by both online questionnaires and offline interviews.FindingsThe findings of the study show that different partner match criteria have distinct direct impacts on BMI themes. Partner complementary and partner synergy, deriving from the “task-related criteria”, are significantly correlated with both EBMI and NBMI. Conversely, partner compatibility, deriving from “Partnering-related Criteria”, shows a positive correlation with EBMI but not NBMI. Furthermore, compare the indirect effect on EBMI, the paper’ results demonstrate interfirm dynamic capabilities as mediator can more maximize external benefits to promote NBMI.Practical implicationsThe study findings effectively help enterprises implement different BMI themes. From a management perspective, whether pursuing EBMI or NBMI, enterprises should consciously seek partners who can provide complementary support or share mutual goals across diverse industries. This strategic approach can significantly enhance the opportunities for sustainable and innovative business development. Furthermore, to successfully accomplish NBMI, enterprises must cultivate interfirm dynamic capabilities encompassing a comprehensive range of cross-organizational innovation capacities, such as bolstering organizational learning capability, establishing interactive network platforms to enhance coordination capabilities and engaging in integrative activities to foster a collective mindset.Originality/valueThis paper contributes to the match theory by introducing three critical matching criteria, enabling enterprises to discern partners based on diverse organizational characteristics. Additionally, this paper broadens the scope of the dynamic capability literature by adopting a network perspective to strengthen interaction and relationship mechanisms. The authors primarily elucidate the concept of interfirm dynamic capabilities as a formative higher-order model formed by three sub-capabilities (absorptive capacity, coordination capability and collective mind). Finally, this paper combines matching theory with dynamic capacity theory to the field of BMI, which adds depth and complexity to the existing ecosystem innovation research.

An Empirical Study of Logistics Industry Clustering on Regional Economic Growth in Liaoning Province

Using the relevant data of Liaoning Province from 2010 to 2021, an econometric model is established with the C-D production function as the theory combined with the new economic theory, and dummy variables are introduced according to the three degrees of logistics industry agglomeration and the division of the three major economic zones in Liaoning Province, to explore the effect of logistics industry agglomeration on the promotion of regional economic growth under different degrees of agglomeration and economic zones. It is found that the clustering of logistics industry has a significant effect on the regional economic growth of Liaoning Province, and the effect of clustering varies with the degree of clustering, and as the degree of clustering grows, the degree of contribution changes with an inverted U trend; the effect of clustering varies with different economic zones, and the effect of clustering varies with the more economically developed regions. The more economically developed the region, the more obvious the promotion effect.