Scale Enterprises Research Articles

Research on the Influencing Factors of High-quality Development of Export Enterprises

The Internet and big data have a profound impact on export enterprises, and their high-quality development is also facing unprecedented opportunities and challenges. This paper takes small and medium-sized enterprises of sales oriented export trade as the research sample, and uses the BP neural network model to conduct empirical research on the factors affecting the high-quality development of enterprises. Research conclusions: (1) A influencing factor system for high-quality development of export enterprises has been constructed, which includes 26 specific factors; (2) The factors in order of impacts: convenience of shopping operations, website content, comprehensive quality of employees, product awareness, consumer penetration rate, internationalization level, enterprise scale and reputation; (3) Factors such as overall employee quality, internationalization level, employee training system and effectiveness, network security, internationalization style of website design, convenience of shopping operations, sales growth rate of the enterprise, and profit growth rate do not have a direct, absolute positive relationship with the high-quality development of the enterprise.

Analysis of Scale of Business in mediating Financial Technology and Knowledge Management on Digital-Based Accounting of Micro, Small and Medium Enterprises in Medan City

Micro, small and medium enterprises are businesses that can help neraga in improving the community's economy, reducing unemployment so that the government is now very enthusiastic in supporting the development of MSMEs. It is inseparable from the local government of Medan City which motivates business actors in using digitalisation in every sector in running a business so that it can develop not only at the national level but even at the international level. This research was conducted in Medan City with the variables used were Scale of Business, Finalcial Technology with Knowledge Management as the mediating variable on digital-based accounting of MSMEs. The population in this study were MSMEs under the guidance of the Medan City UKM cooperative office which already had a Business Identification Number of 488 businesses with a sampling method using the Slovin formula with an error rate of 5%. The analysis model used to test the hypothesis in this study is multiple regression analysis using the Smart PLS application. multiple regression analysis is a statistical method used to determine the magnitude of the influence between independent variables. Indirectly Scale of Business Mediates Financial Technology, on Digital-Based Accounting, Indirectly Scale of Business does not Mediate Knowledge Management, on Digital-Based Accounting, Directly Scale of Business, Financial Technology, Knowledge Management, have a significant effect on Digital-Based Accounting, Directly, Financial Technology has a significant effect on Scale of Business, Directly, Knowledge Management does not have a significant effect on Scale of Business micro small and medium enterprises in Medan City.

Building Scalable MLOps: Optimizing Machine Learning Deployment and Operations

As machine learning (ML) models become increasingly integrated into mission-critical applications and production systems, the need for robust and scalable MLOps (Machine Learning Operations) practices has grown significantly. This paper explores key strategies and best practices for building scalable MLOps pipelines to optimize the deployment and operation of machine learning models at an enterprise scale. It delves into the importance of automating the end-to-end lifecycle of ML models, from data ingestion and model training to testing, deployment, and monitoring. Approaches for implementing continuous integration and continuous deployment (CI/CD) pipelines tailored for ML workflows are discussed, enabling efficient and repeatable model updates and deployments. The paper emphasizes the criticality of implementing comprehensive monitoring and observability mechanisms to track model performance, detect drift, and ensure the reliability and trustworthiness of deployed models. The paper also addresses the challenges of managing model versioning and governance at scale, including techniques for maintaining a centralized model registry, enforcing access controls, and ensuring compliance with regulatory requirements. The paper aims to provide a comprehensive guide for organizations seeking to establish scalable and robust MLOps practices, enabling them to unlock the full potential of machine learning while mitigating risks and ensuring responsible AI deployment. Keywords—Machine Learning Operations (MLOps), Scalable AI Deployment, Continuous Integration and Continuous Deployment (CI/CD) for ML, ML Monitoring and Observability, Model Reproducibility, Model Versioning and Governance, Centralized Model Registry, Responsible AI Deployment, Ethical AI Practices, Enterprise MLOps

ESG performance and green innovation of Chinese enterprises: Based on the perspective of financing constraints

Sustainable development needs to rely on green innovation. Enterprise ESG performance rating to alleviate the information asymmetry between enterprises and investors, for the green innovation provides development opportunities. However, there is a lack of research on the mechanism of the two based on the perspective of financing constraints. Therefore, considering the theories of sustainable development, green innovation, financing constraints and stakeholders, the basic mechanism and non-linear mechanism of ESG and green innovation are explored, aiming to provide reference for playing the role of ESG performance in promoting green innovation. The results show that better ESG performance can significantly promote the output of green innovation, and this promoting effect exists for both high-end green innovation and low-end green innovation, and its main channel is to alleviate financing constraints. In addition, this incentive exists a double threshold of digital finance and a single threshold of enterprise scale. Perfect digital finance and larger enterprise scale will strengthen the incentive effect of enterprise ESG performance on green innovation output. Considering financing constraints, this study further clarifies the relationship between enterprises ESG performance and green innovation, enriching the theoretical framework of green innovation and offering a new pathway for advancing green innovation among Chinese enterprises.

Measuring the Social Impact of Social Enterprises–Scale Development and Validation

Social impact measurement has remained a challenge for both social enterprises (SEs) and scholars in the SE field. Despite increased scholarly attention given to SE social impact and its measurement in recent years, scholars continue to call for more research to advance the approaches for measuring social impact in SEs. This study aims to provide a reliable and valid social impact scale for SEs, which can be used as an alternative or a complementary scale to existing quantitative social impact tools. Through a systematic scale development process, it develops a 31-item multidimensional social impact scale based on the triple bottom line sustainability framework and using perception-based or constituency-based feedback. Data analysis confirms the reliability and validity of the scale across two studies involving different SE samples and country contexts. The study also discusses implications for theory and practice and recommendations for future research.

Local officials' hometown preference and enterprises' environmental investment behavior

AbstractBased on annual observations of heavily polluting enterprises of A‐share listed companies from 2012 to 2019, this paper analyzes the impact of officials' preference for enterprises' investment in environmental protection in the officials' hometowns. It is found that when the Secretary of the municipal Party Committee takes office in his or her hometown, environmental protection investment by enterprises is higher, indicating that the preference of the municipal Party Secretary for their hometown has a positive promoting effect on enterprises' environmental governance behavior. At the same time, officials' hometown preferences promote environmental investment by strengthening environmental supervision. It is further found that the longer the municipal Party Secretary works in his or her hometown, the higher his or her education level, and the older he or she is, the greater the impact of his or her hometown preference on enterprises' environmental protection investment. Compared with female Party Secretaries, male Party Secretaries have more significant influence on corporate behavior. At the same time, corporate characteristics such as enterprise scale and regional characteristics such as economic development have a certain regulatory effect on this promoting effect.

Financial structure, development of small and medium banks, enterprise exports

The development of small and medium-sized banks has a profound impact on enterprise export trade. This study Based on a sample of 645 listed enterprises in China, to study the relationship between small and medium-sized banks and the export level of enterprises. Against the backdrop of the continuous development and growth of small and medium-sized banks, new ideas have been provided for seeking ways for Chinese enterprises to expand financing channels and improve export levels. The research results indicate that the development of small and medium-sized banks has significantly improved the export tendency and scale of enterprises. The heterogeneity test results show that the export expansion effect of the development of small and medium-sized banks is more significant for private enterprises, eastern enterprises, non-agricultural enterprises, and enterprises with high dependence on external financing. Based on these empirical research results and the actual situation in China, this article proposes policy recommendations such as building a long-term mechanism for the development of small and medium-sized banks, expanding their financial service coverage, and enhancing their financial service capabilities.

Research on Energy-Saving Efficiency and Influencing Factors of Green and Low-Carbon Enterprises Based on Three-Stage DEA and Tobit Models

Implementing the “dual-carbon” objective has profoundly affected China’s businesses, prompting a continuous process of transformation and innovation. Green, low-carbon transformation, upgrading, and sustainable development have emerged as the means to achieve high-quality company growth, with firms playing a crucial role in achieving the “dual-carbon” target. By prioritizing firms’ green, low-carbon, and sustainable growth, not only can their economic efficiency be improved, but it also serves as a vital measure to advance high-quality development. To achieve this objective, it is crucial to analyze the elements that impact the energy-saving effectiveness of businesses to develop optimization tactics that can enhance their competitiveness. This study combines the three-stage Data Envelopment Analysis (DEA) and the Tobit model to assess the energy-saving efficiency of green and low-carbon firms from 2018 to 2022. The analysis focuses on selected samples from various areas and industries. The study investigates the relationship between energy-saving effectiveness and different regional and industrial parameters, considering the distinct attributes of each firm and the key elements that influence its energy-saving performance. The findings indicate that green, low-carbon firms typically demonstrate suboptimal energy-saving efficiency but have considerable room for improvement. Upon considering environmental concerns, it becomes clear that the primary limitation on energy-saving performance is the lower efficiency of the enterprise scale. The energy-saving efficiency of green, low-carbon firms varies significantly across different regions and industries. On average, northern firms in the energy-saving and carbon reduction industry, as well as the resource recycling industry, have higher energy-saving efficiency compared to southern enterprises. In contrast, the environmental protection industry in southern firms demonstrates a better average energy-saving efficiency compared to their northern counterparts. Employee quality, policy support, and automation are key factors that greatly enhance the energy-saving efficiency of firms in both regions. Enterprise size has a beneficial impact on the energy-saving efficiency of southern firms but a negative impact on northern enterprises. Moreover, the industry and financial structures exert a detrimental influence on enhancing the energy-saving efficiency of green and low-carbon firms. Thus, in order to improve the energy-saving effectiveness of businesses, it is essential to utilize the elements that have a positive influence on energy-saving performance and reduce the impact of those that have negative impacts. This strategy will enhance the energy-saving efficiency of businesses and promote the development of an environmentally friendly and low-carbon society.

Environmental, Social, and Governance Performance, Platform Governance, and Value Creation of Platform Enterprises

Under the concepts of sustainable development and a sharing economy, the ESG performance of platform enterprises has played a significant role in measuring the operating status and responsible investment of platform enterprises. Platform enterprises have different typical characteristics from traditional enterprises. The mechanisms of ESG and financial performance needs to be further explored. The empirical analysis finds that: (1) the ESG performance of platform enterprises and its S index and G index has a positive impact on corporate financial performance. (2) Media attention plays a positive moderating role between the ESG and ROA. (3) Platform data governance and platform reputation governance are two internal and external paths for platform enterprises’ ESG performance to improve financial performance. (4)There is heterogeneity in the relationship between ESG and ROA in terms of platform enterprise scale and platform type. Based on the above conclusions, this paper provides reference experience for the ESG governance and value creation of platform enterprises.

Adherence to national guidelines for colorectal, breast, and cervical cancer screenings in Japanese workplaces: a survey-based classification of enterprises’ practices into “overscreening,” “underscreening,” and “guideline-adherence screening”

BackgroundWorkplace cancer screening programs are determined as part of an employee’s benefits package and health checkups are perceived positively. However, the current status of workplace cancer screening programs in Japan is unavailable. This study aimed to assess the adherence to national guidelines for colorectal, breast, and cervical cancer screenings in the workplace among Japanese enterprises and identify factors associated with excessive or inadequate screenings.MethodsA cross-sectional study design was employed. Data were obtained from a survey conducted by the “Corporate Action to Promote Cancer Control” between November and December 2022 among registered partner enterprises in Japan. The survey included questions on background characteristics, cancer screening practices, and intervention approaches. The analysis included 432 enterprises that provided complete responses regarding colorectal, breast, and cervical cancer screenings.ResultsThe guideline-adherence rates for colorectal, breast, and cervical cancer screenings in the workplace were 12.7%, 3.0%, and 8.8%, respectively. Enterprises had lower adherence to screening guidelines than local governments. Colorectal (70.8%) and breast (67.1%) cancer screenings were predominantly categorized as “overscreening” and cervical (60.6%) cancer screening, as “underscreening.” Factors such as enterprise scale, health insurance associations, and the number of interventional approaches were significantly associated with increased “overscreening” (101–1000: β = 0.13, p = 0.01; ≥ 1000: β = 0.17, p < 0.01; health insurance association: β = 0.23, p < 0.01; and approaches: β = 0.42, p < 0.01) and reduced “underscreening” (101–1000: β = -0.13, p = 0.01; ≥ 1000: β = -0.17, p < 0.01; health insurance association: β = -0.18, p < 0.01; and approaches: β = -0.48, p < 0.01).ConclusionAdherence to national guidelines for colorectal, breast, and cervical cancer screenings in the workplace was suboptimal among Japanese enterprises. Therefore, appropriate cancer screening measures and interventions to ensure guideline adherence and optimization of screening benefits while minimizing potential harms should be expeditiously implemented.

Use and Abuse of Personal Information, Part I: Design of a Scalable OSINT Collection Engine

In most open-source intelligence (OSINT) research efforts, the collection of information is performed in an entirely passive manner as an observer to third-party communication streams. This paper describes ongoing work that seeks to insert itself into that communication loop, fusing openly available data with requested content that is representative of what is sent to second parties. The mechanism for performing this is based on the sharing of falsified personal information through one-time online transactions that facilitate signup for newsletters, establish online accounts, or otherwise interact with resources on the Internet. The work has resulted in the real-time Use and Abuse of Personal Information OSINT collection engine that can ingest email, SMS text, and voicemail content at an enterprise scale. Foundations of this OSINT collection infrastructure are also laid to incorporate an artificial intelligence (AI)-driven interaction engine that shifts collection from a passive process to one that can effectively engage with different classes of content for improved real-world privacy experimentation and quantitative social science research.

Does environmental regulation promote enterprise environmental protection investments? A quasi-natural experiment from river chief system in the Yangtze river delta of China

The investment decisions of enterprises are affected by environmental regulations designed to protect the environment, so environmental regulations may change companies' investment behavior in environmental protection. This study focuses on the River Chief System (RCS)1, an innovative environmental regulation related to river governance which officially launched in China in 2014. Based on data collected from heavy-polluting companies in the Yangtze River Delta, we use the difference-in-differences model (DID Model)2 and focus on RCS's impacts on micro-environmental protection investments. Our findings reveal that the RCS is conducive to expanding the scale of enterprises' environmental protection investments. Industrial structural upgrades appear to have a masking effect wherein the one-sided pursuit of industrial structural upgrades may slow economic growth and cause enterprises to reduce the scale of environmental investments. We recommend that the allocation of environmental investment should be based on the characteristics of local markets and public participation, and maintain a balance between secondary and tertiary industries, government and business incentives.

Digital Inclusive Finance and the Shadow Banking of Non-Financial Enterprises

In consideration of the macro background of guarding against diverting out of the real economy and the rapid development of digital inclusive finance, this study selects the A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2011 to 2019 as samples to empirically investigate the impact of digital finance on the shadow banking of non-financial enterprises. The research finds that digital finance suppresses the expansion of shadow banking business scale in non-financial enterprises. Further examination reveals that the impact of digital finance development on the shadow banking of non-financial enterprises is mainly achieved through alleviating financing constraints and reducing financing costs. Heterogeneity tests indicate that the inhibitory effect of digital finance on non-financial enterprise shadow banking is more pronounced in companies with smaller scales, poorer information disclosure quality, and higher management expense ratios. Additionally, this inhibitory effect is primarily generated by the depth of digital finance development. This study provides empirical evidence and decision-making references to clarify the inhibition of shadow banking by digital finance and guide the development of digital finance.

Comparative Analysis of Chemical and Phase Compositions of Rolling Scale of Metallurgical Enterprises

Comparative Analysis of Chemical and Phase Compositions of Rolling Scale of Metallurgical Enterprises

Ethanol distillation performance test of porang flour processing residue in SME scale distillator

Abstract One of the porang processing steps involves the production of porang flour with glucomannan concentrations that meet market requirements. To increase glucomannan levels, impurities are separated. The common solvent used is ethanol. In the extraction procedure, ethanol is not only used once but reused in another extraction procedure by redistilled to increase the concentration of ethanol. This study’s objective is to determine and analyze the effect of input volume variations (5,7.5 and 10 liters) at heating temperatures (85°C, 90°C, and 95°C) on ethanol product volume and concentration. In the distillation process 5; 7.5 and 10 L, ethanol levels respectively in the range of 58.41-71.87%, 61.81-65.87, and 63.76-65.93%. Based on the analysis, the constant value (k) in the change of ethanol distillation level during the distillation process predicted at 5L volume were 0.0149, 0.0160, and 0.0182, for 7.5L volume were 0.0098, 0.0134, and 0.0153, 0.0071, 0.0083, and 0.0102 minutes−1 at 10 L sample volume for each distillation temperature. The optimal values for a distillation device evaluated on a Small Medium Enterprises (SME) scale by varying the volume and temperature of the substance in the distillation vessel were determined to be 5 liters of volume and 95°C, respectively.

Reducing the environmental footprint of glass manufacturing

AbstractThe glass industry is a significant source of greenhouse gas emissions due to its energy consumption profile and the use of fossil fuels in the manufacturing process. Most of the energy to produce glass is consumed in the process of treating raw materials to elevated temperatures, usually above 1500°C. Glass manufacturing also generates significant environmental impacts, such as greenhouse gas emissions, air pollution, water consumption, and waste generation. Therefore, improving the sustainability of glass manufacturing is a significant challenge for the industry and society. There are ways to reduce the energy consumption and emissions of glass melting, such as recycling glass, using oxy‐fuel burners, improving furnace insulation and design, and adopting electric melting technologies. These methods can help save energy, lower costs, and enhance the sustainability and environmental footprint of the glass industry. However, the industry faces challenges and barriers, such as technical feasibility, economic viability, capital investment, and market acceptance. More research and development must be invested to improve the energy efficiency and environmental performance of glass melting. The objective of this paper is to provide an overview of the growth glass industry has made over the past 30 years and the remaining challenges for sustainable glass manufacturing with a focus on the fiberglass segment. Sharing of procedural methods, technical approaches, and results can help enable the global glass industry in our future sustainability challenges. The fiberglass segment included a broad technical view including glass chemistry development, product development, new industry codes and standards, melting development, computational fluid dynamic modeling, life cycle assessments, and sustainability goals linked to capital planning. The net result delivered a significant reduction in environmental emissions at the global enterprise scale. The implemented changes have taken decades, significant investments, and resources to plan and develop. Practices reviewed and implemented can help drive collaboration and commonality within the glass industry to achieve sustainability goals. Action is needed now if the glass industry is to meet global government demands of reducing carbon emissions by 55% by 2030 and zero carbon emissions by 2050 in alignment with the Paris Agreement on decarbonization.

Spatio-Temporal Evolution and Drivers of Carbon Emission Efficiency in China’s Iron and Steel Industry

Improving the carbon emission efficiency (CEE) of the iron and steel industry (ISI) is crucial for China to achieve the goal of carbon peak and carbon neutrality. This study employed the undesirable SBM and Dagum Gini coefficient to measure the ISI’s CEE and analyzed the spatial heterogeneity among three regions of China. This study also used the Tobit model to clarify the influencing factors. The conclusions show that (1) the CEE in eastern provinces is the highest, the central ones rank second, while the western ones rank the worst; the promoting effect of Technical Change is greater than that of Efficiency Change. (2) ISI’s CEE shows a positive spatial correlation and an apparent spatial heterogeneity. The CEE gap between the regions contributes most to the CEE difference among provinces. The regional CEE gap within the western region is the largest, with a maximum difference of 0.520 in the Dagum Gini coefficient. Furthermore, the total CEE gap shows a narrowing trend from 2009 to 2020, with the Dagum Gini coefficient decreasing from 0.414 in 2009 to 0.357 in 2020. (3) Industrial structure, enterprise scale, foreign direct investment, and technology level positively correlate with ISI’s CEE; the marginal impacts are 0.6711, 0.1203, 0.0572, and 3.5191, respectively. While energy intensity, environmental regulation, and product structure negatively correlate with it, the marginal impacts are 0.0178, 1.4673, and 0.2452, respectively.

Evolutionary game analysis of data sharing among large and medium-sized enterprises in the perspective of platform empowerment

With the swift advancement of the global digital economy, data has emerged as a critical component in fostering the integration of large enterprises with small and medium-sized enterprises (SMEs). Nevertheless, due to disparities in resources and capabilities between these entities, there is a deficiency in the willingness to share data, hindering the full actualization of data’s potential value. Hence, it is imperative to facilitate a novel cooperative development paradigm wherein platforms enable data sharing among large enterprises and SMEs. In this paper, we construct a tripartite evolutionary game model encompassing large enterprises, SMEs, and digital platforms, examine the evolutionary stable strategies adopted by these entities in the data sharing, and use numerical simulation to explore the system’s evolutionary stability under various influencing factors. Contrasting with prior research, this study considers the heterogeneity of enterprise scale and delves into the data sharing dynamics between large enterprises and SMEs. Simultaneously, it positions the digital platform as a player in the game, examining its impact on data sharing among the enterprises. Findings indicate that: (1) SMEs exhibit greater eagerness for data sharing compared to large enterprises, which display a U-shaped influence during the process; (2) Digital platforms are particularly sensitive to costs, with the platform’s initiative and the service quality will affect enterprises strategic choices; (3) Government subsidies positively encourage tripartite cooperation, and robust data security governance framework is crucial for enterprises. Finally, based on the results of the study and combining with the current situation of digital economy development, it puts forward the suggestions for promoting platforms to empower large enterprises and SMEs to realize data sharing and the prospects for future research.

Rancang Bangun Sistem Aplikasi Kasir Pintar Enterprise Resource Planning (ERP) Berbasis Odoo pada UMKM Rumah Makan Tradisional Uni Mita Lintau

The application of information technology on a Micro, Small, and Medium Enterprises (MSME) scale is crucial in increasing competitiveness and operational efficiency in various industrial sectors. In the food and beverage industry, the implementation of a smart cashier application system based on Enterprise Resource Planning (ERP) using the Odoo platform has become a significant concern. This research aims to design and build an ERP-based smart cashier application system using Odoo at the MSME Uni Mita Lintau Traditional Restaurant. By combining Odoo technology with MSME business practices, this research provides a solution to improve operational efficiency and customer experience in traditional restaurants. Through implementation analysis and evaluation, this research offers practical guidance and insight for other MSMEs interested in adopting similar technology to improve their business performance. Thus, this research not only contributes to the practical understanding of the application of technology to MSMEs but also contributes to further developments in the literature on the application of information technology in the food and beverage industry.

Green credit, financing constraints, and corporate investment: From the perspectives of scale and efficiency

Green credit plays a crucial role in resource allocation as it serves as a link between financial systems and environmental protection. This study utilizes the “Green Credit Guidelines” issued by the China Banking Regulatory Commission in 2012 as an exogenous shock, employing the Difference-in-Differences (DID) approach to examine the impact of green credit policies on corporate investment levels. The findings reveal that green credit enhances investment efficiency by reducing the investment scale of high-pollution enterprises. Furthermore, considering the temporal nature of policy impact and strategic responses from enterprises, these effects become evident and increasingly strengthened two years after policy implementation. The financing constraint intermediary mechanism suggests that financing constraints only serve as an intermediary factor between green credit policies and investment efficiency, exerting relatively weak control over short-term investment scales. Additionally, internal and external regulatory mechanisms along with enterprise heterogeneity indicate asymmetric effects resulting from green credit policies. Policy implications derived from this research emphasize the necessity for a rational combination of command-and-control environmental regulations with green credit policies while also improving upon existing green credit measures to prevent strategic corporate behavior.