Different Types Of Enterprises Research Articles

Research on time-value-oriented business model innovation path in life services enterprises and its impact on customer perceived value

In the era of the digital economy, the acceleration of life pace has induced to a continuous increase in people’s sense of time scarcity. In order to satisfy consumers’ lifestyle changes and immediate needs, life service enterprises have carried out lots of business model innovation activities guided by value of time. However, it is still unclear what the time-value-oriented business model innovation path is and whether it can improve the perceived value of customers. Under such background, this paper aims to construct a time-value-oriented business model innovation path in life services enterprises and to discuss its relationship with customer perceived value. The study indicates that: Firstly, specific innovation paths of enterprises include putting forward the purpose of value of time proposition, designing standardized process based on time-oriented, constantly forming unique core resources such as big data, brand and supply chain, and updating the transaction method combining online and offline, and so on. Secondly, the questionnaire results indicate that time-value oriented business model innovation in four aspects – value proposition, key processes, core resources, and transaction methods – can effectively enhance customer perceived value. Thirdly, there are differences in the matching degree between time-value-oriented business model innovation and customer value perception among different types of enterprises in the life services industry. Among them, the express delivery industry has the highest enhancing degree and customer satisfaction. This is related to the heterogeneous characteristics of industries such as express delivery, transportation, catering, and retail. Overall, this study offers a comprehensive and practical perspective for enterprises to meet customer perceived value demands by presenting business model innovation paths and solutions.

Governance for Azure and AWS Cloud Services

Abstract: These days, cloud computing services are utilized in all business, academic, and governmental domains to build IT infrastructure. Cloud computing services are one IT solution that is becoming more and more popular among different types of enterprises. Cloud computing services face many challenges, like how to protect and raise user knowledge. These problems and difficulties also pertain to cloud computing services, which could result in a number of important risk areas. One of the problems is not being aware of the hazards associated with cloud computing services and the controls that are required to reduce these risks. Because governance is difficult to execute in the cloud computing environment and has the responsibility of assessing performance and adherence to predetermined goals and objectives, it hinders the adoption of cloud computing services. This study aims to develop a model that ensures that the required controls are applied in cloud services offered by Microsoft Azure and Amazon Web Services (AWS) and assesses the risk if the controls are not applied.

Enterprise innovation, internal income gap and common wealth

This paper utilizes the data of China's A-share listed companies from 2008 to 2022 to explore the impact of innovation on the common wealth in depth from the micro-enterprise level. The study results show that improving enterprise innovation level has a positive promotion effect on the common wealth. However, this promotion effect varies across different types of enterprises and is particularly significant in reducing the income gap within state-owned enterprises. In addition, corporate innovation further contributes to common wealth by raising the level of employee compensation and lowering the level of executive compensation. This finding provides useful insights for policymakers.

Exploring critical success factors for digital transformation in construction industry–based on TOE framework

PurposeThis study aims to investigate the critical success factors of digital transformation in the construction industry and identify whether the respondents' profiles influence their perceptions of critical success factors for digital transformation.Design/methodology/approachTo achieve the objectives, a literature review was first conducted based on technology-organization-environment (TOE) framework. Then a questionnaire survey was carried out. A total of 86 people were surveyed in this study, mainly from the construction industry. At the level of data processing, SPSS was used for analysis. Among the main tests used were the Shapiro–Wilk test, reliability analysis, mean rank analysis, Kruskal–Wallis test and Mann–Whitney U test.FindingsThe study identified 15 critical success factors of digital transformation and found the three most important factors of digital transformation. Furthermore, respondents with different years of experience, enterprises with different sizes and different years made no difference in the perception of factors. Respondents' different occupations and types of enterprises created a bias in the perception of factors for digital transformation.Research limitations/implicationsFirstly, the small sample size of the questionnaire limits the reference value of data analysis for certain groups. In addition, this study focuses broadly on construction enterprises without specifically examining different types of enterprises, thus lacking depth in its findings.Practical implicationsThis study establishes a connection between TOE theory and the construction industry through an extensive literature review, identifying relevant factors and providing a reference for future research.Originality/valueThe study's results would enrich the research on digital transformation in the construction industry and provide a reference for the digital transformation of construction enterprises.

Performance study of knowledge integration in marketing-oriented small and medium enterprises

Purpose: This study aims to examine the impact of the knowledge fermentation field on the knowledge integration performance of marketing-oriented SMEs. This research will help develop more useful market policies for company management. Design/Methodology/Approach: This research focuses on marketing-oriented SMEs, conducting a survey among 700 employees from 421 such enterprises. The collected data were analyzed to understand the influence of the knowledge fermentation field on the knowledge integration performance of these enterprises.
 Findings: Knowledge management plays a crucial role in marketing-oriented SMEs especially in terms of knowledge integration. Effective knowledge management strategies significantly enhance the market adaptability and innovation capabilities of these enterprises.
 Conclusion: The knowledge fermentation field in marketing-oriented SMEs positively impacts the enterprise's knowledge integration performance. The relationship between the field of knowledge fermentation and the performance of knowledge integration in marketing-oriented SMEs is moderated by the knowledge spiral fermentation system.
 Research Limitations and Implications: The study primarily targets marketing-oriented SMEs in a specific region and may not be entirely applicable to other regions or different types of enterprises. The influence of temporal variations on business knowledge integration performance may not have been properly taken into account during data collection.
 Practical Implications: This study provides businesses with an effective tool for developing and comprehending knowledge creation and innovation in the spiral fermentation system model of the knowledge ecosystem in small and medium-sized marketing companies.  It fosters a healthier development path for the knowledge ecosystem in these enterprises.
 Contribution to the Literature: This study proposes a new theoretical framework in the field of knowledge management for marketing-oriented SMEs. It offers new perspectives and theoretical support for understanding and enhancing knowledge management practices in SMEs by integrating the concepts of the knowledge ecosystem and knowledge integration performance.

Integrating three theories of 21st-century capitalism

Purpose This study aims to help develop “business principles for stakeholder capitalism” in two steps. First, the study defines internal logic of three theories of capitalism and two variants within each theory. Second, it examines approaches to integration into modern democratic capitalism. Treating the three theories as substitutes identifies relative strengths and weaknesses; complementarity and partial overlap approaches to integration study the institutional settings within which stakeholder capitalism operates. Empirical outcomes reflect competition between market and stakeholder businesses for participants, with institutional conditions determining the scope of collective action. Design/methodology/approach The approach aligns three typologies in a unique conceptual arrangement defining the three theories of capitalism: forms of capitalism, potential failures of each form and associated types of goods. The first method examines the internal logic of each theory of capitalism. The second draws on traditional narrative review of references documenting each theory of capitalism and variants together with modern Marxist anti-capitalism. Findings Three typologies align uniquely with the theories of capitalism, each having two variants. Both variants of stakeholder capitalism are compatible with compassionate capitalism, constitutional government or polycentric governance but not with self-interest capitalism, dictatorship or Marxism. A theory of modern democratic capitalism allocates roles for private, club and social goods with empirically variable mixes occurring across countries. Competition among different types of enterprises provides an empirical test for comparative advantages of stakeholder capitalism. Future research should consider approaches for testing the proposed conceptual scheme in practice concerning capacity to deal with grand challenges, wicked problems and black swan events. Research limitations/implications Research approach is limited to logical examination of theories and literature documentation without direct empirical confirmation. The study does not address practical implications for managers and public officials or social implications concerning private incentives, stakeholder cooperation or collective action. Originality/value Originality lies in shifting terms of debate about stakeholder capitalism from advocacy of substitute theories to understanding of its relationship to market capitalism and collective action capitalism. Value lies in explaining desirability of theoretical integration of three types of capitalism into a comprehensive framework for modern democratic capitalism.

Study on the impact of digital transformation on the innovation potential based on evidence from Chinese listed companies

Digital transformation has emerged as a powerful force in reshaping the business landscape and enabling organizations to enhance their capabilities. One critical aspect of this change is how it impacts an enterprise’s innovation ability. To explore this question, we select data regarding China’s A-share listed enterprises from 2007 to 2021 as the research sample. We employ crawler technology to gather keywords related to “digital transformation” from annual reports, portraying detailed journeys of enterprises’ digital transformation. Through descriptive statistics and multiple covariance tests, a linear relationship is established between digital transformation and innovation ability. Benchmark regression is conducted and a robustness test is utilized to determine the robustness of the benchmark regression. The mechanism, heterogeneity, and moderating effects of this study are also tested. The results reveal that digital transformation makes a significant positive contribution to the innovation capability of enterprises. Meanwhile, among different types of enterprises, the impact of digital transformation on enterprise innovation capability shows heterogeneity. In terms of the impact mechanism, digital transformation can enhance the innovation output of enterprises by reducing the agency cost and improving the risk-taking level of enterprises, so as to further improve the innovation capability of enterprises. The research results of this paper provide essential theoretical support for the digital transformation of enterprises and the government’s formulation of enterprises’ digitalization strategies. More profoundly, it provides significant reference for how to further promote the digital transformation of Chinese enterprises.

A Performance Evaluation Method for Employees in Small and Medium-Sized IT Enterprises Based on Multiple Indicators

In recent years, research on performance evaluation of IT enterprises has become a hot topic worthy of attention. In some countries, IT enterprises have become essential in driving economic development. However, there are significant differences in personnel management, performance evaluation, and other aspects among listed IT enterprises, large IT enterprises, and small and medium-sized IT enterprises, making it difficult to standardize performance evaluation for different types of enterprises. Especially for small and medium-sized IT enterprises, there are still specific problems in performance evaluation due to the unique characteristics of the enterprise. The primary manifestation is that standardized evaluation indicators cannot be fully applicable to small and medium-sized IT enterprises, making it challenging to conduct dynamic evaluations based on the characteristics of the enterprise. This article is based on the research and analysis data of performance evaluation management for small and medium-sized IT enterprises in a particular region of China. It proposes a multi-indicator-oriented performance evaluation system for small and medium-sized IT enterprises and offers corresponding guarantee measures.

Novel enterprises digital transformation influence empirical study.

With the rapid development of technologies such as cloud computing and big data, various levels of government departments in the country have successively introduced digital subsidy policies to promote enterprises' digital transformation. However, the effectiveness of these policies and their ability to truly achieve policy objectives have become pressing concerns across society. Against this backdrop, this paper employs a moderated mediation effects model to empirically analyze the incentive effects of financial subsidies on the digital transformation of A-share listed manufacturing companies in the Shanghai and Shenzhen stock markets from 2013 to 2022. The research findings indicate a significant promotion effect of financial subsidies on the digital transformation of manufacturing enterprises, especially demonstrating a notable incentive impact on the digital transformation of large enterprises, non-asset-intensive enterprises, technology-intensive enterprises, and non-labor-intensive enterprises. However, the incentive effect on the digital transformation of small and medium-sized enterprises (SMEs), asset-intensive enterprises, non-technology-intensive enterprises, and labor-intensive enterprises is not significant. Notably, the expansion of financial subsidies positively influences the augmentation of R&D investment within manufacturing enterprises, subsequently providing indirect encouragement for their digital transformation. Additionally, the incorporation of the degree of marketization implies its potential to moderate both the direct and indirect impacts of financial subsidies on enterprise digital transformation. This study enriches the research on the mechanism of the role of financial subsidies in digital transformation and provides empirical evidence on how market participation influences the effects of financial subsidies, thereby assisting policymakers in comprehensively understanding the impact of financial subsidy policies on different types of enterprises.

Private Equity Investment and Corporate Technological Innovation: An Empirical Examination Based on Chinese Mainboard-listed High-Tech

Technological innovation is very important to the growth and success of an enterprise, which greatly affects its market competitiveness. There are many known factors that affect the technological innovation of enterprises, and private equity investment is one of the important but often neglected factors. As a country with relatively developed finance, China's laws and systems related to private equity investment are relatively sound. Based on a large number of sample data of high-tech enterprises listed on the main board of China in 2012-2022, this paper studies the influence of private equity investment on technological innovation of enterprises. This paper finds that private equity investment has an obvious positive effect on enterprise technological innovation, and the effect of private equity investment on innovation shows certain differences due to different types of enterprises, which is embodied in the fact that state-owned enterprises or smaller enterprises are more sensitive to private equity investment. The research has both theoretical and practical significance, and can provide some help and suggestions for enterprises and the government in making decisions related to private placement.

UNVEILING INVESTOR SATISFACTION: A COMPREHENSIVE ANALYSIS OF INFLUENCING FACTORS IN THAI NGUYEN PROVINCE

This article analyzes the factors that affect businesses' satisfaction with the investment environment in Thai Nguyen province. The survey involved 470 managers from three different types of enterprises: state-owned, private, and those with foreign investment. The results reveal several key factors influencing the satisfaction businesses have with the investment environment in Thai Nguyen province. Specifically, these factors include: 1) Management and support from local governments; 2) Living and working conditions; 3) Competitive input costs; 4) Infrastructure and services; 5) Human Resources; and 6) Investment policy. Furthermore, the study has made significant progress in constructing a regression function to describe the influence of survey elements on businesses' satisfaction with the investment environment in Thai Nguyen province. These findings serve as the foundation for proposing solutions to enhance the investment climate in Thai Nguyen province.

Comparative study on brand marketing strategies of different types of enterprises

Comparative study on brand marketing strategies of different types of enterprises

Modernization of methodological approaches to the organizational-technological and economic-management support of development projects

The article focuses on key aspects of inventory management within the context of the construction industry. It addresses issues related to the implementation of an inventory management system, particularly considering various types of risks that can impact supply chains and developing strategies to minimize them. The article emphasizes the importance of effective management of relationships with suppliers, as they play a crucial role in ensuring the stability and reliability of supplies. A comprehensive approach is proposed, which includes the development and implementation of a mathematical model for optimizing the cost parameters of material flow. The model is based on generalized nomenclature cases and allows enterprises to conduct more efficient planning and control of expenses during the stages of product movement and storage. The importance of a strategic approach to supply chain management is demonstrated, taking into account the specificity and dynamics of the construction industry. Particular attention is given to adapting the model to different market conditions and the needs of specific enterprises, which allows for achieving high flexibility and efficiency in managing material flows. The article highlights the analysis of multi-nomenclature supply, which is an important aspect for the construction industry where the need for a variety of materials and components is high. It also includes a parametric base, encompassing the analysis of storage area, restrictions on the minimum size and cost of delivered products, storage costs, potential order volumes, and the assessment of lost benefits. This analysis enables the identification of key points for optimization and implementation of changes in supply chains. The main contribution of the article lies in the development of a model that can be adapted for different types of enterprises in the construction industry. The presented model allows for effective inventory management, reducing associated costs while simultaneously increasing overall productivity and the quality of supply chain management. The article separately considers methods of analysis and forecasting of material resource needs, which are important for ensuring continuity and efficiency of construction processes. The importance of flexibility in supply chains in response to changes in demand and market conditions is highlighted, as well as the necessity of integrating modern information technologies for more effective data and process management. Specific recommendations and methodologies are proposed, which can be useful for managers involved in planning and optimizing supply chains. These recommendations include strategies for balancing between costs and efficiency, methods for risk assessment and management, and approaches for integrating new technological solutions.

The Relationship between Social Responsibility and Brand Value of Chinese Food and Beverage Enterprises in the Context of High-Quality Development

This article constructs a corporate social responsibility indicator system and conducts regression analysis on the relationship between food and beverage enterprises fulfilling social responsibility and enhancing brand value. Research has found that food and beverage companies have a significant positive impact on brand value enhancement when fulfilling social responsibilities to shareholders, suppliers, and governments; The fulfillment of social responsibility towards employees, creditors, and consumers does not have a significant impact on brand value enhancement; The overall completion of social responsibility by food and beverage enterprises has a significant positive impact on enhancing brand value. Among them, the feedback of employees, creditors, and consumers on the fulfillment of corporate social responsibility is not easy to fully measure, and they belong to anonymous beneficiaries, whose impact on brand value also shows a hidden nature. The social responsibilities undertaken by different types of enterprises vary greatly. Therefore, this article introduces the moderating variable of enterprise type to conduct heterogeneity analysis and verify that enterprise type plays a positive promoting role in the relationship between food and beverage enterprises fulfilling social responsibility and enhancing brand value.

The effects of environmental policy uncertainty on productivity growth- Data from Chinese micro enterprise level.

China's economy has made remarkable achievements in the past 40 years. However, the economic development is accompanied by serious environmental pollution. Chinese government has promulgated many policies to reduce environment pollution. However, it is doubtable whether the increased uncertainty in environmental policies inhibits enterprise development. Therefore in this study we use Mathematical Derivation, Stepwise Regression Method and Regulated Effect to investigate the impact of environmental policy uncertainty on enterprise productivity. The results show that (1) environmental policy uncertainty significantly inhibits the improvement of enterprise productivity. (2) environmental policy uncertainty inhibits enterprise productivity by enterprise innovation, human capital and foreign direct investment; (3) environmental policy uncertainty has heterogeneous impact on enterprise productivity. According to this study we also provide some beneficial environmental policy suggestions for the Chinese government. Such as the government should build a stable economic environment, maintain the sustainability of local environmental regulation policies and formulate more detailed measures to adapt different types of enterprises.

Evaluation of technology innovation efficiency for the listed NEV enterprises in China

China’s New Energy Vehicle (NEV) industry has entered an accelerated development stage, with the technology innovation efficiency becoming an essential factor affecting the speed of its development. Therefore, to explore ways to improve the efficiency of technology innovation, this paper divides the technology innovation process into two stages: the research and development (R&D) stage and the commercialization stage. This paper introduces a framework for evaluating the technology innovation efficiency of NEV enterprises based on data envelopment analysis (DEA), meta-frontier, and tobit regression. Then, the technology innovation efficiencies of 45 vehicle, battery, and motor & electronic control NEV enterprises are analyzed. The results show that: (i) During the survey period, the overall technology innovation capability of Chinese new energy vehicle enterprises is not strong, especially regarding economic transformation. However, the general development trend is on the rise. (ii) Different types of enterprises have different technology gap ratios in the two stages. The technology innovation efficiency level of motor and electronic control enterprises is relatively weak in the new energy vehicle industry. (iii) Many measures can be implemented to help improve technology innovation efficiency: encouraging the large-scale development of enterprises, reasonably increasing the shareholding ratio of significant shareholders, improving the ratio of capital investment, stimulating the vitality of innovation within the enterprise, and optimizing the number of employees.

Effectiveness of Digital Payments in the Performance of Nepalese Micro, Small and Medium Enterprises (MSME)

This study aims to examine the effectiveness of digital payments on the performance of Micro, Small, and Medium Enterprises (MSMEs) in Nepal. The research is based on a survey of 118 MSMEs within the Kathmandu Valley. Correlation, regression analysis, and ANOVA were used to analyze the data and draw conclusions. The findings indicate that the frequency of use of digital payments, perceived usefulness, perceived security, and ease in making payments to suppliers/creditors have a significant impact on the firm's performance. However, digital literacy and ease in accepting payments from customers/debtors do not have a significant influence on firm performance. This finding contradicts previous research conducted in different contexts and suggests that being digitally literate does not necessarily translate into the use of digital payments for business transactions. The study highlights the importance of understanding the usage of digital payments across different types of enterprises, such as MSMEs, and calls for further research to explore this topic using secondary data. Additionally, the study suggests that future research should expand beyond the Kathmandu Valley to gain a more comprehensive understanding of the topic.

Research on the Impact of ESG Rating on Enterprise Growth

ESG transformation is profoundly changing corporate goals and business logic, improving the growth potential of enterprises. This article selects data from Chinese A-share listed companies from 2011 to 2021 as research samples to empirically test the impact of ESG rating on enterprise growth and its impact mechanism. Research has found that ESG rating can significantly enhance the growth of enterprises. Meanwhile, the impact of ESG rating on enterprise growth exhibits heterogeneity in different types of enterprises and regions with different degrees of marketization. From the perspective of impact mechanism, ESG rating can promote high-quality development of enterprises and improve enterprise growth by improving financial flexibility and alleviating financing constraints. This article provides relevant theoretical evidence for the practice of implementing the ESG rating in enterprises and it has important practical guiding significance for the government to formulate enterprise information disclosure and ESG evaluation systems, as well as for China to further promote high-quality transformation and growth of the macro economy.

Environmental Regulation and Employment Changes in Chinese Manufacturing Enterprises: Micro Evidence from the Top 10,000 Energy-Consuming Enterprises Program

This study investigates the impact of the Top 10,000 Energy-Consuming Enterprises Program (hereafter referred to as the carbon reduction policy) implemented by the Chinese government in 2011 on the employment of manufacturing enterprises. The study indicates that the implementation of the carbon reduction policy has two ways of impacting the employment scale, namely ‘employment creation’ and ‘employment destruction’. The actual effect of the policy on the employment scale depends on the superposition of these two effects. Based on a sample data set of Chinese manufacturing enterprises, the generalized propensity score-matching method (GPSM) is used to identify the causal relationship and its mechanism between the carbon reduction policy and the employment scale. The study reveals several findings. First, the carbon reduction policy positively affects the employment of Chinese manufacturing enterprises, and the employment scale demonstrates an inverted U-shaped relationship as the policy intensity gradually increases. Second, the carbon reduction policy affects the employment scale of Chinese manufacturing enterprises through two pathways of employment creation and employment destruction. Third, the promotion effect of the carbon reduction policy on the employment scale of different types of enterprises is heterogeneous and is influenced by factors such as institutional environment, ownership type, and industry pollution characteristics. These findings remain robust under different samples and empirical methods. The results of this study demonstrate that China’s top 10,000 Energy-Consuming Enterprises Program can achieve a ‘win-win’ situation by ensuring environmental protection and stable employment.

VOCs hyperspectral imaging: A new insight into evaluate emissions and the corresponding health risk from industries

The harm of VOCs emitted from industries to surrounding atmospheric environment and human health was well known and had received continuous attention. In order to improve the quality of urban atmospheric environment and the living environment of urban residents, a large number of original urban industries had been relocated to economically underdeveloped suburbs, which has significantly deteriorated the atmospheric environment in these areas and brought potential health risks to local vulnerable residents, which is actually an unfair manifestation under the background of economic development and ecological civilization construction. There were many residents near industrial parks, but there was a significant lack of VOCs monitoring equipment and data. At present, the time resolution of the most commonly used in situ method was seriously insufficient, and it was unable to quantify the diffusion/transport process of VOCs. It was urgent to have effective detection methods for industrial VOCs plume concentration and diffusion/transport process. In this study, we proposed a hyperspectral imaging technology, which can realize long-term continuous imaging monitoring on plume concentrations of formaldehyde (HCHO), glyoxal (CHOCHO) and benzaldehyde (C6H5CHO) and their corresponding diffusion processes. The deviation between the imaging and in situ sampling concentrations in the outlet was 4–19 %. The spatial resolution of this technique reached meter level, and the temporal resolution of one pixel was better than 20 s. In this study, we carried out hyperspectral imaging of aldehyde VOCs for a chemical facility, a petrochemical facility and an industrial park containing various types of enterprises in the Yangtze River Delta. The maximum observed concentration of HCHO was 120.44 ± 12.14 ug/m3 with the emission flux of 39.27 ± 3.97 g/h, which was emitted from a petrochemical facility in Shanghai. A diffusion/transport model was established, and we found that the spatial distribution of HCHO, CHOCHO and C6H5CHO for the chemical facility case in Shanghai were all mainly along the southeast-northwest direction during one year. The health risk assessment emphasized that residents within 10 km north of the outlet of the chemical facility in Shanghai should pay more attention to the health risks caused by industrial HCHO emissions. More systematically and comprehensively hyperspectral imaging of VOCs emissions for different types of enterprises and different processes were expected to performed to greatly promote the establishment of a dynamic emission inventory and an effective health risk evaluation system in the future.