Types Of Enterprises Research Articles

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.

Multi-group symbiotic evolutionary mechanisms of a digital innovation ecosystem: Numerical simulation and case study.

In the digital innovation ecosystem, the symbiosis mode formed between ecosystem members not only relates to their survival and development but also affects the ecosystem's symbiosis evolution mechanism. Based on symbiosis theory, this study first explores the evolutionary equilibrium strategy and its stability for three types of populations-core enterprises, digital platforms, and university research institutes-and then uses numerical simulation and a case study to explore the symbiotic evolution mechanism of the digital innovation ecosystem. The results show that: First, the digital innovation ecosystem is a complex adaptive system in which the three types of populations form different symbiotic relationships under different symbiotic modes and conduct symbiotic activities, such as value co-creation, to characterize the unique symbiotic evolutionary structure. Second, in this ecosystem, the symbiotic relationship formed by the combined values of different symbiotic coefficients between populations determines the outcome of symbiotic evolution. Third, the ideal direction of the evolution of the digital innovation ecosystem is a mutually beneficial symbiotic relationship. Thus, the symbiotic relationship between populations should be transformed into a mutually beneficial symbiotic relationships as much as possible. This study makes theoretical contributions by shedding light on the symbiotic evolution mechanism of the digital innovation ecosystem. It also offers countermeasures for the digital innovation cooperation of various stakeholders in China's digital innovation ecosystem.

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.

Research on financing countermeasures of online game SMEs based on the identification of intangible assets information.

As an important part of the cultural industry, small and medium-sized online game enterprises undertake the functions of technological innovation, employment absorption and cultural cultivation. However, the lack of credit ability restricts the financial development of such enterprises. To solve the financing problem of online small and medium-sized game enterprises, this paper firstly uses the information of intangible assets to identify their credit ability, and considers that the information of intangible assets is a problem worthy of attention in evaluating credit risk. Secondly, the intangible assets information disclosure index, the revenue sharing contract of credit synergy and the dynamic game mechanism are constructed to study the importance of the intangible assets index and the evolution of the dynamic game. Finally, the empirical study shows that the intangible assets of delisting and special treated online game small and medium-sized enterprises still have value, this type of enterprise and credit suppliers have the behavior of seeking advantages and avoiding disadvantages. Therefore, credit synergy should be constructed and government regulation should be implemented.

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.

Poison or catalyst? How do energy saving targets matter for firm-level productivity in China

China’s Top-10000 Enterprises Energy Conservation and Low Carbon Program, enacted in 2011, sets binding energy saving targets for enterprises. However, whether energy saving target setting is a poison or a catalyst remains controversial, and no research has been conducted on how the targets affect enterprises’ total factor productivity. We construct 2012–2013 panel data models by mapping the enterprises subject to the energy saving targets onto the China Industrial Enterprise Database to systematically quantify the effects of the targets on enterprises’ total factor productivity. The study reveals an inverted-U-shaped curve between energy saving targets and manufacturers’ total factor productivity. We also find that the targets boost an enterprise’s total factor productivity by expanding the enterprise’s market share and their impacts vary according to region, type of enterprise, and industry. The study shows that setting appropriate energy saving targets can improve the environment and boost enterprise productivity.

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.

Improving the institutional environment of enterprises' innovative activity based on proactivity

Subject. The article addresses availability of resources, institutional environment, scientific and technical potential of enterprises in various industries. Objectives. The purpose is to classify enterprises by type of innovation strategy. Methods. We employ methods of horizontal and vertical comparative analysis of data series. Results. The study established that proactive enterprises showed a significant increase in revenue and profit for 2011–2022. For all types of enterprises, R&D and development is unprofitable. For proactive businesses, the risk of business liquidation is 36% lower than for other businesses. Conclusions. Multilateral institutional arrangements in the form of sectoral transactions are an effective tool for disseminating proactive behavior among enterprises.

Governance of Greenwashing Behaviors: A Perspective of Heterogeneous Firm Types

Corporate greenwashing in response to carbon neutrality strategies has received substantial academic attention. Distinct from previous studies, this paper establishes a differential game model incorporating both green and brown enterprise types. The model compares greenness and total profits under two government scenarios: subsidies for green enterprises and the regulation of brown enterprises. It further analyzes the mechanism behind brown enterprise greenwashing formation. The results show that subsidies alone encourage brown enterprises to engage in greenwashing. However, government regulation inhibits such behaviors, with the inhibition effect positively correlated to regulatory intensity. Consumers’ green perception of enterprises also significantly drives brown enterprise greenwashing degrees. Higher green enterprise perception coefficients reduce greenwashing, while higher brown enterprise perception coefficients increase it. Differential game and simulation analyses reveal that greenwashing governance should consider both direct policy effects on brown enterprises and indirect subsidy effects on green enterprises.

Development of LIME-NZ: a generic tool for prompt estimation of economic impacts of disease for New Zealand livestock

ABSTRACT Aims To develop a simple and robust generic tool to measure the impacts of livestock diseases on New Zealand dairy, beef and sheep farms using enterprise gross margin models. Methods The most recent (2018–2020) livestock production benchmarking data was extracted from industry-led economic surveys. Gross margin models were built for each enterprise type, accounting for 11 dairy farm types and 16 farm types for beef and sheep. Disease parameters, including changes in mortality, reproduction performance, milk yield, price of animals and culling rate, as well as additional expenses for veterinary intervention, were applied to the infected compartment of the herd/flock using the assumed annual within-herd disease incidence. Farm-level disease impacts were estimated as the difference in annual profit between the baseline and infected farm. The baseline gross margin models were validated against the industry data. The disease impact models were validated using a recently published study on bovine viral diarrhoea (BVD). The impact assessment tool, LIME-NZ, was developed using the statistical software R and implemented in the web-based R package Shiny. The input parameters can be varied interactively to obtain a range of disease impacts for uncertain disease parameters. Results The baseline gross margin models demonstrated reasonable accuracy with a mean percentage error of <14% when compared with the industry reports. The estimated annual impacts of BVD were comparable to those reported in the BVD study, NZ$38.5–140.4 thousand and $0.9–32.6 thousand per farm per year for dairy and beef enterprises, respectively. Conclusions LIME-NZ can be used to rapidly obtain the likely economic impacts of diseases that are endemic, recently introduced or at increased risk of introduction in the New Zealand context. This will aid communication and decision-making among government agencies and the livestock industry, including veterinarians and livestock producers, about the management of diseases, until refined information becomes available to improve decision-making.

34 A survey of the Oklahoma State University Cowculator user preferences

Abstract The Oklahoma State University Cowculator is a free, easy to use model designed to assist cattle producers in making informed decisions regarding the nutrition of their herd. The Cowculator operates as a spreadsheet-based model, which collects information from the 2016 National Academy of Science, Engineering, and Medicine’s Nutrient Requirements for Beef Cattle, previous editions of the book, and previous research data. Producers have the option to adjust animal characteristics, feed and forage values, and diet composition to fit certain production objectives. In 2022, a Qualtrics survey was developed to determine perception of users of the program and their likes and dislikes. When users download the program, they are required to enter their name, email address, and zip code. A link to the survey was emailed to each address registered within the Cowculator database, with an email reminder sent out 30 days later. The survey yielded 233 responses. According to user download data, in 2022 the Cowculator was downloaded 2,090 times from 41 states and 53 countries. Based on email addresses ending in “.edu” the program was downloaded by faculty or students from 135 different universities, colleges, or other technical institutions. Of the respondents, 60% identified as beef cattle producers, 16% as industry professionals (e.g., consultants, veterinarians), 11% as extension personnel, 7% as research or teaching faculty, and 6% as students. Regarding the type of enterprise which the program was used for, 52% responded with cow/calf, 33% growing or stocker cattle, and 15% finishing cattle. The survey indicated that 88% of respondents were able to utilize the program effectively to evaluate or modify their nutrition program, while 16% indicated they were not successful in using the program. The survey asked respondents to give their opinion on the accuracy of the program. 69% indicated that it yielded “mostly accurate” projections, 23% responded with “very accurate”, and 5% perceived the program to be inaccurate or marginally accurate. Users of the program estimated the average annual benefit of the program to be $1,500. The respondents were asked to select what they liked about the program and what they felt needed improvement. It was indicated that the most liked features were that the program was free and that it was easy to use. The features that were indicated as needing improvement where the limited pre-added list of feedstuffs and the lack of availability of a simplified app version of the program. The results of this survey provide valuable insights regarding user demographics, as well as what can further be adjusted within the Cowculator to best fit the needs of the users.

Nizhny Novgorod Provincial Peasant's House in the 1920s.

After the end of the Civil War, a new type of hotel enterprise appeared in Soviet Russia – the Peasant's House. The first Peasant's House was opened in 1922 in Moscow. The experience of its operation was recognized as successful and regional Peasant Houses began to open throughout the country. In Nizhny Novgorod, the Provincial Peasant's House began its work in 1925. His task was to serve the peasants coming to the city. They were provided with a hostel and meals. The peasants received legal assistance, various references and advice on various issues. Political and educational activities were also provided for peasant walkers: excursions, radio broadcasts, visits to the library. Lectures, reports, debates, question and answer evenings, as well as individual conversations were held in the Peasant's House. From the first years of the Peasant's Houses, the Soviet government sought their transition to full self-financing. The paper provides an analysis of the main directions of development of the Nizhny Novgorod Provincial Peasant House in the 1920s. The article is based on the materials of the Central Archive of the Nizhny Novgorod Region Regional Archive (TSANO), periodicals, scientific literature. The article uses historical-systemic and historical-comparative methods, as well as general scientific methods such as description and comparison. The conducted research showed that the Nizhny Novgorod Provincial Peasant's House was in a difficult situation in the 1920s. Like any new business, the organization and activity of the Peasant's House faced considerable difficulties. The normal activities of the Peasant's House were hampered by material problems. The residential premises provided by the government needed major repairs. The subsidies allocated for political and educational work were not enough. The situation changed only in the early 1930s, when the government decided to build new buildings for peasant Homes.

Unveiling IR 4.0 Competency: Assessing Creativity Through RIASEC Personality Typology in Low- Income Populations

The Revolution Industry 4.0 (IR4.0) has brought significant changes to the lives of individuals, particularly those from low-income populations even though with high academic qualifications. However, the advent of this revolution present opportunities for individuals who possess the appropriate competencies. In this era, creativity stands out as vital competency for individual staying relevant and thriving amidst rapid changes in world of work. Inspired by RIASEC model by Holland’s theory, this study motivated to examine its influence on creativity among low-income populations. The survey data was collected form 98 undergraduate students participating in the Work Based Learning Program at a Malaysian Polytechnic, specifically targeting those form low-income group. Utilizing a quantitative approach, the study employed purposive sampling techniques. Furthermore, Partial Least Squares Structural Equation Modelling (PLS-SEM) using SmartPLS 3.0 software was utilized to assess both measurement and structural models. The study’s findings reveal a positive correlation between Enterprising personality type and creativity competency. These findings could enrich the literature in competency, human resource and human psychology areas and also literature for the RIASEC model by Holland theory. Future research might consider expanding the sample to include students from other higher institutions beyond those from low-income backgrounds.

Analysis of the spatial influences on innovation efficiency of enterprises with different ownership in China: high‐tech industry as an example

AbstractEnterprises have different behavioral characteristics depending on their ownership structure and their nature and play different roles in promoting economic development. In order to explore the innovation behavior characteristics of private enterprises, state‐owned enterprises, Hong Kong‐, Macao‐, and Taiwan‐funded enterprises, and foreign‐funded enterprises in China's high‐tech industry, this paper constructs spatial lag models and varying coefficient spatial lag models within the framework of knowledge production functions. It not only evaluates the technological innovation performance of various types of enterprises in high‐tech industries but also comprehensively explores the differences in the impact of external environments such as spatial dependence and business environment on the innovation efficiency of various types of enterprises. The results of the study provide a reference for enterprise managers and investors to efficiently allocate the scarce resources for innovation investment.

R&amp;D team network configurations, knowledge diversity and breakthrough innovation: a combined effect framework

PurposeThis study aims to propose a combined effect framework to explore the relationship between research and development (R&amp;D) team networks, knowledge diversity and breakthrough technological innovation. In contrast to conventional linear net effects, the article explores three possible types of team configuration within enterprises and their breakthrough innovation-driving mechanisms based on machine learning methods.Design/methodology/approachBased on the patent application data of 2,337 Chinese companies in the biopharmaceutical manufacturing industry to construct the R&amp;D team network, the study uses the K-Means method to explore the configuration types of R&amp;D teams with the principle of greatest intergroup differences. Further, a decision tree model (DT) is utilized to excavate the conditional combined relationships between diverse team network configuration factors, knowledge diversity and breakthrough innovation. The network driving mechanism of corporate breakthrough innovation is analyzed from the perspective of team configurations.FindingsIt has been discerned that in the biopharmaceutical manufacturing industry, there exist three main types of enterprise R&amp;D team configurations: tight collaboration, knowledge expansion and scale orientation, which reflect the three resource investment preferences of enterprises in technological innovation, network relationships, knowledge resources and human capital. The results highlight both the crowding-out effects and complementary effects between knowledge diversity and team network characteristics in tight collaborative teams. Low knowledge diversity and high team structure holes (SHs) are found to be the optimal team configuration conditions for breakthrough innovation in knowledge-expanding and scale-oriented teams.Originality/valuePrevious studies have mainly focused on the relationship between the external collaboration network and corporate innovation. Moreover, traditional regression methods mainly describe the linear net effects between variables, neglecting that technological breakthroughs are a comprehensive concept that requires the combined action of multiple factors. To address the gap, this article proposes a combination effect framework between R&amp;D teams and enterprise breakthrough innovation, further improving social network theory and expanding the applicability of data mining methods in the field of innovation management.

Main issues and countermeasures for the development of small and medium-sized enterprises in China

This research delves into the primary challenges and strategies faced by Chinese small and medium-sized enterprises (SMEs) across various market contexts. Drawing from a synthesis of both domestic and international literature, the study highlights the prevalent difficulties encountered by SMEs, including funding constraints, market entry, talent acquisition, and technological advancement. Notably, the paper compares and contrasts Shenzhen Huake Technology Co., Ltd., a company in a developed urban setting, with a traditional textile firm in a less developed western county, examining their distinct challenges. The findings suggest that while both types of enterprises grapple with financial and technological hurdles, urban enterprises tend towards innovation-driven growth, whereas those in underdeveloped areas are often hindered by inadequate infrastructure and market limitations. To address these issues, the study proposes several approaches, such as bolstering technological innovation, creating adaptable supply chains, building brand identity, and proactively meeting diverse consumer demands. The research also emphasizes the critical role of green and sustainable practices in the future trajectory of SMEs. SMEs are encouraged to leverage digital tools and global opportunities while remaining attuned to local market needs and peculiarities.

Somatic cell count and an Animal Needs Index to evaluate animal welfare in dairy cattle on farms constructed to the standards of the Agriculture and Rural Development Support Institution

In this research, welfare measurements were made on 14 modern dairy cattle farms (Type 1) with similar enterprise scales and built without any support from any institution, and on eight modern dairy cattle farms (Type 2), which were built with the support of the Agriculture and Rural Development Support Institution (ARDSI), in the province of Konya, Turkey. Welfare levels of dairy cattle farms were measured using the Animal Needs Index (ANI) 35L/2000 method. Milk samples were taken from each of these enterprises and somatic cell counts were obtained. Collected data and calculated ANI scores were compared. While there was a substantial difference between the two enterprise types in terms of the scores obtained for stockmanship (welfare measurement) and the general ANI scores, there was no relationship between the enterprise types in terms of somatic cell count. According to the ANI 35L/2000 welfare measurement method, suitable welfare conditions were provided in these enterprises. However, when examining categories that determine the overall ANI welfare score, deficiencies in some welfare criteria such as flooring, stockmanship, and light–air conditions were noted.

The presence of sustainability pillars in social impact businesses

The present study addressed aspects of the three pillars of sustainability in Social Impact Businesses, with the purpose of evaluating the contributions of the economic, social, and environmental dimensions to this type of enterprise, and thus meeting the objective of consolidating them in the market. To this end, it resorted to the methodological support of the qualitative, descriptive, and bibliographic and documentary approach. The result obtained with the study suggests that the three dimensions of sustainability add value to Social Impact Businesses, since these enterprises, even though they operate according to market logic, contribute to improving the lives of the population and the environment. Additionally, through the products or services they offer, they fulfill their socio-environmental purpose, directly acting in compliance with the Sustainable Development Goals. From this perspective, the study aims to contribute to the solidification of Social Impact Businesses, serve as a basis for future research, and add knowledge to all those interested in the discussion of the topic.

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.

How Does the Government Guide Marine Resource Enterprises in China to Improve Their Business Performance? A Path Analysis Based on DEA-fsQCA

Policy guidance is a key driving force for improving the business performance of marine resource enterprises. This study establishes a DEA-fsQCA model, selects 42 listed marine resource enterprises as samples, analyzes the business performance improvement paths of marine resource enterprises, and proposes relevant policy recommendations for the government to guide marine resource enterprises to improve their business performance. The result shows that there are three different path models for the high business performance of marine resource enterprises based on their scale and property-right attributes: the “private green innovation” type, the “private green concentration” type, and the “state-owned incentive decentralized” type. According to the research results, this study suggests that, in the process of promoting the improvement of the business performance of marine resource enterprises, the Chinese government should promote the green development of enterprises, stimulate the technological innovation vitality of private marine resource enterprises, optimize enterprise executive incentive policies, and deepen the reform of mixed ownership in state-owned enterprises. Compared with previous studies, this article presents a fresh perspective on researching marine resource enterprises from a macro perspective and constructs a policy system for improving the business performance of different types of marine resource enterprises, providing valuable reference and guidance for the high-quality development of marine resource enterprises and the overall marine economy.