Performance Of Companies Research Articles

The analysis of a causal model of learning organization on sustainable organizational performance of public IT companies in China: Knowledge management practices and innovation capability as multiple mediators

This research aims to empirically examine the role of learning organization practices in enhancing sustainable organizational performance, utilizing knowledge management and innovation capability as mediating variables. The study was conducted in public IT companies across China, which is a vital sector for driving innovation and economic growth. A mixed-methods approach was employed, with quantitative methods accounting for 70% and qualitative methods for 30% of the research. Purposive sampling was utilized to distribute questionnaires to 546 employees from 10 public IT companies. Statistical analysis was conducted using Structural Equation Modeling (SEM). The findings indicate that learning organization practices significantly influence knowledge management practices (β = 0.785, p < 0.001) and innovation capability (β = 0.405, p < 0.001). Furthermore, knowledge management practices positively contribute to sustainable organizational performance (β = 0.541, p < 0.001), while innovation capability also has a positive effect (β = 0.143, p < 0.001). Moreover, knowledge management practices partially mediate the relationship between learning organization practices and sustainable performance, with a total effect of 0.788 (p < 0.001). The mediating role of innovation capability is also significant, with a total effect of 0.422 (p = 0.045). The study further includes qualitative in-depth interviews with 20 managers from 10 IT companies across five regions in China: East, South, West, North, and Central. Senior managers were selected through a stratified sampling method to ensure comprehensive representation by including both the largest and smallest companies in each region. These findings underscore the critical role of learning organizations in promoting sustainability through effective knowledge management and innovation capabilities within the IT sector.

The Influence of TAM, Perceived Risk, and Trust on the Financial Performance of Multi-finance Companies Utilizing GPS Tracker Applications

This study investigates the influence of the Technology Acceptance Model (TAM), perceived risk, and trust on the financial performance of multi-finance companies utilizing GPS tracker applications. As technology adoption in the multi-finance sector grows, understanding these factors becomes crucial for optimizing financial outcomes. A quantitative research design involved a cross-sectional survey of multi-finance companies using GPS tracker applications. Data were collected from 150 managers and financial officers through structured questionnaires. Structural Equation Modelling (SEM) was used to analyze the relationships between TAM constructs (perceived ease of use and perceived usefulness), perceived risk, trust, and financial performance. The results indicate that perceived ease of use and usefulness significantly enhance trust in GPS tracker applications, positively impacting financial performance. Conversely, perceived risk negatively moderates the relationship between trust and financial performance.

Enhancing Consumer Loyalty and Market Competitiveness: Approaching IPA-QFD in Product Development

This paper provides an overview of AA.co.Store, is a fashion business founded in 2021. Despite being in the development stage, AA.co.Store can compete with other local brands in Sidoarjo. To maintain and attract more consumers, the company focuses on improving product quality. The success of a business is measured by the number of products produced and their competitiveness in the market. Product development is crucial to increase competitiveness and attract future consumers. The quality of the product and promotional activities significantly impact customer satisfaction. Pricing and distribution also influence purchasing decisions. To compete with competitors, AA.co.Store needs a comprehensive strategy. Research suggests that product quality, price, customer satisfaction, and brand image affect consumer loyalty and satisfaction. The purpose of this research is to improve AA.co.Store's product development using an IPA-QFD-based marketing mix aligned that very important for Development Goals (SDGs) of the store to compete with other local brands in Sidoarjo. The results of this study were AA.co.Store service quality, it can be concluded that Customer satisfaction with AA.co.Store services is fulfilled, which is indicated by the results of the questionnaire using the SERVQUAL method which does not show a negative value for the AA.co.Store brand when compared to other brands. There are three service quality attributes that need to be prioritised for improvement at AA.co.Store, namely the price of t-shirts that are more competitive than other brands, the condition of the parking lot, and cleanliness. There are several steps that can be taken to improve service quality based on technical needs, including: a.) changing the organisational strategy on company performance, especially in the operational section, b.) increasing the stock of materials to meet the number of orders, c.) providing training and development on existing SOPs, and d.) repairing and maintaining existing equipment in the company.

Procedural Fairness in Budgeting and Employee Performance in The Context of Information Sharing

Information sharing and procedural fairness are crucial for achieving business objectives through employee performance. The results of this research will help firm management make decisions about how to improve employee and company performance by upholding procedural fairness and increasing information sharing between superiors and subordinates. This research aims to examine the effect of procedural fairness on information sharing, the effect of information sharing on employee performance, and the mediating role of information sharing on the effect of procedural justice on employee performance. This study uses primary data collected through questionnaires. The sample consisted of 108 sub-manager level employees (services, trade, and manufacturing) selected based on a purposive sampling technique. Data analysis was conducted using the regression method. Data analysis findings indicate that procedural fairness affects employee performance, which is mediated by information sharing. If procedural justice is applied, communication will be better, especially regarding relevant information; this can improve employee . As demonstrated by empirical studies of Indonesian companies, there is currently no research that reveals the relationship between procedural fairness, information sharing, and employee performance. performance. However, cross-sectional studies have flaws because they frequently lack evidence of causal links between the variables they study. According to empirical studies on Indonesian organizations, no research has demonstrated a connection between procedural fairness, information sharing, and employee performance. Based on the results of the data analysis, it can be concluded that procedural fairness and information sharing positively related to employee performance.

ESG SCORES, EARNINGS MANAGEMENT AND FINANCIAL PERFORMANCE: EVIDENCE FROM POLAND

The paper's main aim is to investigate the relationship between the ESG activities scores and profitability metrics of 33 public companies listed on the Warsaw Stock Exchange. By utilizing the Refinitiv methodology, we answer whether a company's environmental, social and governance performance perspectives positively affect the ROA, ROE and ROC ratios or whether there is a negative relationship. A secondary objective of the research is to investigate the relationship between profitability and the magnitude of aggregate-based earnings management in the tested sample. The moderating effect of earnings manipulation on the links between ESG performance and a company's profitability metrics is a research gap that has not been well-studied to date.This research demonstrates contradictory results: a positive relationship between the social dimension of ESG activities and the financial performance of companies was observed regarding ROE and ROC ratios. The negative impact of the environmental pillar rank on the ROA ratio was captured only in selected regression analyses. The governance pillar score did not statistically affect the tested profitability metrics. On the other hand, we gathered evidence that public companies with a high range of non-financial disclosures tend to alter earnings via accruals, and discretionary accruals statistically affect the ROA, ROE and ROC ratios. This finding contrasts previous research claiming that the earnings management phenomenon is a typical agency problem and that the policy of non-mandatory disclosures following the ESG assumptions could constrain the asymmetry of information and managerial information advantages.

IMPACTS OF DIGITAL TRANSFORMATION ON FINANCIAL PERFORMANCE: EVIDENCE FROM VIETNAM

Today, with the Industrial Revolution 4.0, digital transformation is taking place strongly in many different fields. Digital transformation can bring a competitive advantage to enterprises. However, enterprises also spend a lot of money to implement digital transformation. Therefore, whether or not digital transformation increases company performance is always of concern to company leaders. This paper aims to analyse the impact of Digital Transformation on Financial Performance, including Revenue, Profit and ROA in Vietnam. Digital Transformation is represented by the variables Cloud Computing, Big Data Analytics, Artificial Intelligence, and the Internet of Things. We used Google Forms to survey 314 leaders of enterprises in Vietnam. Then, we used descriptive statistics, correlation and regression analysis to analyse the data. Research results show that Cloud Computing, Big Data Analytics, and Artificial Intelligence positively impact financial performance. Enterprises that apply digital transformation have better financial performance than other enterprises. In contrast, there is no connection between the Internet of Things and financial performance. In addition, Firm type and Firm size also affect financial performance. FDI enterprises have higher performance than others, and more giant-sized enterprises have higher performance than others.

Enhancing work efficiency and the performance of export companies through competency development

This study aims to examine the influence of employee and entrepreneur competencies on work efficiency and performance of export companies at the Nong Khai border checkpoint. The research conducted is a quantitative survey. The population for this study includes employees and entrepreneurs from the cross-border export service industry, exporters, and freight forwarder agents operating at the Nong Khai border checkpoint. A non-probability sampling method was employed to select participants. The sample size was Cochran estimated using Cochran’s formula. A structured questionnaire was used to collect data from 385 logistics employees and entrepreneurs selected through purposive sampling. The questionnaires were distributed to employees and entrepreneurs from the export entrepreneurial industry, cross-border export service providers, exporters, and freight forwarder agents at the Nong Khai border checkpoint. The findings revealed that employee and entrepreneur competencies have a direct influence on the work efficiency and performance of export companies. The study concludes that enhancing the competencies of employees and entrepreneurs positively impacts work efficiency and the overall export performance of the company. The research suggests that entrepreneurs should prioritize training and competency development for employees to further improve work efficiency.

The Influence Of Career Development, Work Environment And Workload On Job Satisfaction And Its Impact On Employee Performance

Objectives – Company performance is highly dependent on public administration personnel, including individual resources to work in all organizations. Management performance can be improved by ensuring that each level of the organization has adequate business requirements and clear plans to support management objectives. This research uses a quantitative approach with a type of causal research. This research focuses on PT. SSP contact center employees. as a population of 100 individuals. The saturated sampling method was used to select the research sample, which means the entire population was included. The questionnaire uses a Likert scale which is one of the questionnaire measuring tools. SmartPLS version 3. is software used to analyze data related to various variables. Innovation/Value - Learning organizations and employee empowerment drive continuous improvement, innovation and adaptability, enabling employees to make informed decisions and contribute to organizational goals. This helps organizations align and maintain competitive advantage by improving careers, environments and jobs.

Effect of Environmental Performance and Company Size on Financial Performance

This research aims to analyze the influence of environmental performance and company size on financial performance in consumer goods sub-sector companies listed on the IDX for 2018-2022. The research sample consisted of 24 companies with a total of 120 observations. The analysis method uses panel data regression. The findings of the study show that partially environmental performance has a significant positive influence on financial performance, while the size of the company does not have a significant effect. Simultaneously, environmental performance and company size significantly influence financial performance with the ability to explain variations in financial performance by 7%. The study concluded that companies with good environmental performance tended to have better financial performance, while company size was not the main factor affecting financial performance. This study advises management to pay attention to environmental factors in financial performance policies and investors to consider environmental performance in investment decisions.

Service center in electricity distribution sector with variable peak electricity time: A two-stage queuing model approach with nested simulation

Customer service is essential for any business, significantly impacting customer satisfaction, brand reputation, and reducing associated costs. In the electricity industry, this importance is heightened due to the critical nature of electricity in daily life and growing usage rate of new technologies. Effective customer service in electric distribution companies involves handling a wide range of inquiries, from billing issues to technical support, requiring both remote and on-site assistance. The variability in customer calls, influenced by factors such as peak electricity hours, and different service and customer types, presents unique challenges in designing efficient service centers. This research develops a tailored model for the service center operations of a power distribution company, focusing on optimal staffing levels within budget constraints. A two-stage queuing model is proposed to address the needs of residential and non-residential customers. The study employs nested simulation techniques to account for variability in customer arrival times and peak hours. Key performance indicators (KPIs) are used to evaluate the effectiveness of staffing policies, considering both quantitative and qualitative costs. The study integrates stochastic optimization and ranking and selection methods to identify the best staffing configurations. The findings offer actionable insights for improving customer service efficiency and operational effectiveness in electricity customer service centers.

Cracking the Book Value Mystery: Understanding Earning Per Share, Price Earning Ratio, and Operational Efficiency in IDX80 Enterprises Indonesia

Research Aims: This study aims to elucidate the determinants of book value by investigating the effects of earnings per share (EPS), price-to-earnings (PER) ratios, and operational efficiency among companies listed in the IDX80 index from 2021 to 2023. Design/methodology/approach: The research utilizes a quantitative approach with an explanatory design, analyzing secondary data from the financial reports of 80 companies. Variables like EPS, PER, BV, and NPM are assessed using the Partial Least Squares (PLS) method via SmartPLS to uncover their relationships in the Indonesian capital market. Research Findings: Key findings highlight the significant impact of EPS on share valuation reflected in book value (BV) and the mediating role of NPM in this relationship. The study underscores the complexity of using PER alone to evaluate company worth within the IDX80 index, emphasizing the need for further exploration to enhance investment strategies and financial decision-making. Theoretical Contribution/Originality: This study enhances understanding of equity valuation in Indonesia's capital market by analyzing how EPS, PER ratios, and operational efficiency influence companies in the IDX80 index from 2021 to 2023. It integrates theoretical frameworks like signalling theory and mediation via NPM, showing that EPS significantly impacts share valuation through NPM. The research underscores limitations of using PER exclusively to evaluate company worth, emphasizing the intricate nature of stock valuation in the IDX80 index. Future studies should delve deeper into these factors to improve investment strategies and financial decision-making.

Financial Performance Analysis of Energy Companies Using Multi-Criteria Decision-Making Techniques: An Application in the BIST Electricity, Gas and Water Sector

Energy plays a vital role in the macroeconomic development of countries. The increase in energy consumption and the increase in the number of energy companies are among the basic dynamics of country development and growth. Enhancing the financial performance of companies operating in the energy sector strengthens the competitive power of countries at both national and international levels. In this context, this study aims to determine the financial performance rankings of companies operating in the energy sector in Turkey over a 10-year period, identifying the most successful and least successful periods over the years. Using data from energy sector companies listed on Borsa Istanbul (BIST) between 2013 and 2022, after determining the research criteria, the weights of these criteria were calculated using the Entropy method. Subsequently, considering the criteria weights, the performance rankings of energy companies were determined year by year using the MAIRCA method. According to the results of the Entropy analysis, when the importance level is evaluated, the most significant criterion in 2013 was the Liquidity Ratio (LR), in 2014, 2017, 2018, and 2019 it was the Gross Profit Growth (GPG) criterion, in 2015 it was the Current Ratio (CR) criterion, in 2016 and 2022 it was the Net Profit Growth (NPG) criterion, and in 2020 it was the Net Profit Growth (NPG) criterion. Finally, in 2021, the most important criterion was determined to be EBITDA Growth (EBG). Furthermore, based on the MAIRCA analysis, the reasons behind the most successful and least successful years of the companies were explained using financial and activity reports, as well as special situation disclosure notifications obtained from the Public Disclosure Platform (PDP).

Analysis of mathematical methods for describing financial flows: dynamic modeling of an innovative company

Purpose. Development of a dynamic mathematical model of an innovative company operating in accordance with Ukrainian legislation, allowing for the analysis and adjustment of its financial activities. Methodology. When developing a model and description of financial flows, a factor analysis of the necessary indicators of the financial condition of the enterprise in question was carried out, which were used in the calculations of the presented mathematical modeling. A mathematical apparatus has been developed for calculating financial indicators depending on time. Using inductive, deductive and logical methods, an analysis of the financial situation for the year was carried out. Findings. The main methods and tools for describing financial flows have been analyzed. Mathematical modeling of the innovative company is carried out, which allows analyzing the costs of the enterprise and determining the size of its free funds. The calculation of financial indicators of the enterprise, which are demonstrated in the form of tables, is performed and the dynamics is shown in charts and graphs. All calculations were made on the basis of existing Ukrainian legislation using modern information technologies. Originality. A mathematical dynamic model of changes in financial flows at the enterprise has been developed and implemented. The proposed model takes into account various items of expenses and profits in accordance with the state legislation. Calculations allow for dynamic analysis and determination of the impact of various indicators on the financial condition of the enterprise, which allows for faster adoption and implementation of decisions in managing financial flows. This dynamic model is a convenient tool for any enterprise in Ukraine. Practical value. The results that were obtained during the study can become the basis for creating the necessary digital tools for researching, analyzing and adjusting the financial flows of a particular enterprise. Now methods are available that allow analyzing and describing financial flows more accurately and forecasting their changes in the future. The methodology presented allows the creation of dynamic models that can account for complex dependencies between different indicators and forecast the behavior of financial flows in real time. The financial model allows the simulation of cash flows of planned activities and the evaluation of financial planning in advance, taking into account the conducted research. It is straightforward to use and allows the analysis of different scenarios of business development, significantly reducing the time required.

Measurement model of the influence of strategic management accounting on the growth of drinking water companies in South Kalimantan

This study discusses strategic human resource management in Regional Drinking Water Companies (PDAM) in South Kalimantan, focusing on operational challenges and dynamics of clean water management. This study uses quantitative methods with SEM PLS analysis to evaluate company efficiency, performance, and growth. Data were collected from four PDAMs representing various districts, covering 153 respondents. The results of the analysis show that company efficiency has a significant effect on growth, with T-Statistics 4.414 and P-Value 0.000. In addition, company performance is proven to affect efficiency (T-Statistics 8.820, P-Value 0.000) and growth (T-Statistics 2.696, P-Value 0.007). The application of strategic management accounting also contributes positively to efficiency (T-Statistics 2.670, P-Value 0.008) and growth (T-Statistics 2.605, P-Value 0.009). Mediation analysis shows that company performance and efficiency play a role in linking strategic management accounting to growth. This study provides important insights for PDAM management to implement strategic management accounting practices to improve efficiency, performance, and sustainable growth in facing challenges in the public service sector.

Do Green Bonds Issue Statistically Significant Effect on the Indebteness’ European Companies’ Performance?

Objectives: The objective of this paper is to analyze the impact of issuing Green Bonds on the financial performance of European energy companies. This paper analyses the indebtedness of 30 European companies in the energy sector and verifies if there is any relationship between the Green Bonds issue and companies’ value between 2015 and 2022. Theoretical Framework: Green Bonds have been increasing their visibility in the financing market, representing an innovative debt instrument, becoming a way of reducing the pressure of bank loans and the associated financial costs. Green Bonds present themselves as an important choice for economic agents, with a positive impact on the financial performance of financed projects expected. We therefore thought it would be interesting to analyze whether green bonds have a statistically significant effect on the debt performance of European energy companies. Method: For this purpose, the Bloomberg database was used, and a sample of bonds from Euronext ESG Bonds. A Pooled OLS and Random model were applied. The software chosen for analyzing the empirical model was R Studio. The Chi-Square independence test and Cramer's V were also applied. Results and Discussion: Results indicate that in the years in which energy companies issued Green Bonds they had a better performance, measured by the ROE indicator. The internal variables TTA, LTA, STA, EAF and GAF are statistically significant in the performance (ROE) of the Energy European Companies. The Chi-Square independence test and Cramer's V degree of association between the debt and DUMMY variable were also applied. The conclusion is that when Green Bonds are issued, indebtedness decreases. Issuing Green Bonds is a more sustainable alternative to traditional sources of finance. There is a lot of research in this area, and it is quite diverse. There are researchers interested in this topic on all continents. In this sense, given the difference in Green Bonds legislation and cultural aspects, it is not always straightforward to carry out a comparative analysis of the results obtained. Research Implications: Green finance has become an important subject for researchers and promotes sustainable economic development. The goal is financing green projects, contributing to mitigation and adaptation to climate changes. Represent a resent an innovative debt instrument. In other words, it is an important choice for economic agents. Originality/Value: It's the first study of the European Union's energy companies that emit Green Bonds. It should be noted that issuing Green Bonds is not only important for environmental and sustainability issues, but also means reducing bank loans, which have high financial costs. More sustainable forms of financing are important for growth and keeping up with the changes the world is going through. Companies must be aware of these new forms of financing as routine bank loans are not always the best way to meet companies' financial needs.

Influence of Supply Chain Diversification on the Performance of Large Food and Beverage Processing Companies in Nairobi City County, Kenya

The performance of food and beverage manufacturing companies has become a pressing concern due to the rising incidence of supply chain disruptions, which pose significant threats to achieving operational goals. This study investigates the influence of supply chain diversification on the performance of large food and beverage processing companies in Nairobi City County. Supply chain disruptions have been linked to severe financial repercussions, including lower stock returns and increased failure rates, necessitating innovative management strategies. Utilizing a quantitative correlational research design, the study surveyed all 46 major food and beverage companies in the region, targeting procurement, financial, operations, and supply chain managers. Data collection was conducted via questionnaires, achieving an impressive response rate of 81%, underscoring the representativeness of the findings. Statistical analysis revealed a strong positive correlation between supply chain diversification and organizational performance, with an R-squared value of 0.650, indicating that approximately 65% of performance variability could be attributed to diversification practices. Regression analysis confirmed that each unit increase in diversification significantly enhanced performance metrics. These results align with existing literature, emphasizing the need for proactive diversification strategies to mitigate risks and enhance operational efficiency. Recommendations include continuous investment in diversifying supplier bases, adopting advanced technologies such as artificial intelligence, and implementing regular training programs for staff. Furthermore, strategic partnerships with suppliers and routine assessments of risk management policies are vital for maintaining competitive advantages. This research highlights the critical role of supply chain diversification in enhancing performance in the food and beverage sector, providing insights that are essential for navigating the complexities of modern supply chains. Future research should explore comparative studies across different sectors, longitudinal impacts of diversification, and qualitative insights from industry leaders to further enrich understanding in this area. By addressing these recommendations and research avenues, food and beverage manufacturing companies can enhance their resilience and ensure sustained performance in an ever-evolving market landscape..

The Impact of Free Trade Zones on Corporate Sustainability Performance: An Empirical Examination from the Dual Perspectives of Financial and Environmental Performance

As a “testing ground” for a new round of institutional innovation, China’s pilot free trade zones (FTZs) have created favorable development conditions for listed companies and significantly influenced their sustainability performance. Utilizing data from Shanghai and Shenzhen A-share listed companies from 2010 to 2022, this study uses the establishment of FTZs as a “quasi-natural experiment” and measures corporate sustainability performance by combining financial and environmental performance. A PSM-DID model is constructed to explore the impact of FTZ construction on corporate sustainability performance. The findings are as follows: (1) The establishment of FTZs significantly enhances both the financial and environmental performance of companies. (2) FTZs promote corporate sustainability performance by reducing transaction costs and improving corporate innovation levels. (3) The establishment of FTZs has a significantly positive impact on the sustainability performance of companies in highly competitive industries, non-labor-intensive industries, high-tech enterprises, and large-scale companies. This study reveals the impact and transmission mechanisms of FTZs on corporate sustainability performance, providing new empirical evidence for the future direction of corporate sustainable development in China.

The influence of emotional intelligence and employee motivation on employee performance in telecommunication companies in the sultanate of Oman

This study examines the impact of emotional intelligence (EI) and employee motivation on employee performance within the telecommunication industry in the Sultanate of Oman. The target population consisted of 4344 non-managerial employees across nine telecommunication companies, including Omantel, Ooredoo, Vodafone, Oman Broadband Company, Awasr Oman & Co, TEO, Oman Tower Company L.L.C, Helios Tower, and Connect Arabia International. Employing a deductive research approach, finally data were collected via an online survey from 354 respondents. The hypotheses were tested using multiple regression analysis. The results indicate that all dimensions of EI self-awareness, self-regulation, empathy, and social skills positively and significantly influence employee performance, with social skills having the strongest effect. Furthermore, both intrinsic motivation factors, such as work itself and career development, and extrinsic motivation factors, including wages, rewards, working environment, and co-worker relationships, significantly enhance employee performance. The interaction between EI and employee motivation was found to amplify these positive effects. Among control variables, age and education level showed significant impacts, while gender did not. These findings underscore the critical role of both emotional intelligence and motivation in driving employee performance. The study suggests that managers and policymakers should adopt integrated strategies that develop EI competencies and enhance motivational factors to optimize employee performance, thereby contributing to the success of organizations in the telecommunication sector.

Bio-mimetic deconstruction of the digital business ecosystem

The advent of the Internet Plus era, digital technologies, and the digital economy has instigated profound transformations in the commercial landscape, particularly evident in the systematic reshaping of the Digital Business Ecosystem (DBE), encompassing innovations in business models, norms of commercial conduct, and the exploration of business value. This paper delves into the panoramic view of digital business operations of typical companies to uncover the fundamental structural framework of digital commerce. Through deductive reasoning and drawing upon the theoretical framework of natural niche, we construct a niche model for the digital business ecosystem, thereby achieving a bionic deconstruction of the digital business ecosystem. The significance of this research lies in offering a novel research perspective for enterprises, economic regulatory bodies, and scholars in the field of business management, proposing a systemic approach rooted in niche theory models to competition. This approach provides a fresh theoretical framework for enterprises to devise their own ecological and sustainable development strategies. The key findings are as follows: (1) Most business firms establish competitive advantages by constructing commercial cloud platforms that facilitate internal digital transformation and enable digital synergy with external economic entities; (2) Within the digital business ecosystem, enterprises extend their digital capabilities externally through four modalities: data development, data application, data services, and data manufacturing. Externally, six primary forces and roles shape the ecosystem: suppliers, governments, social institutions, consumers, as well as external and internal industry players; (3) The digital business niche is a multidimensional and hyper volumetric relationship positioning between enterprises and the digital business environment. The niche factors include six dimensions: market, personnel, resources, social relationships, technology, and institutions; (4) Given limited ecological factors, the non-exclusivity between static resource allocation and dynamic technological investments in digital enablement leads to the generalization of property rights boundaries and industrial values within the digital business ecosystem. Consequently, this fosters extensive business applications and diversified business models, thereby resulting in less competition and more cooperation, symbiosis, and complementarity within the digital business niche.

Analysis of the Digital Transformation Path of Chinese E-commerce Companies

Digital technology has revolutionized China’s e-commerce sector, changing company operations and client relationships. This article analyzes the impact of digital transformation on online purchasing patterns. This article concentrated on the important of cloud computing, AI, and big data have become essential to online retail tactics. Digitalization is fueling economic development and innovation in China as its digital economy grows and impacts GDP. Digital technologies enable e-commerce and other industrial sectors to interact easily, improving operational efficiency and market reach. Moving from isolated firm models to connected platforms is a sign of a more responsive and integrated economy. This integration fosters a value model of co-creation in which stakeholders (including companies) collaborate to develop product and service offerings, improving customer experience and operational productivity. The route to digital maturity is not without challenges. E-commerce companies struggle with inefficient logistics, costly digital transformation, and a dearth of competent digital workers, as this study shows. Companies must make dramatic organizational and technological adjustments to overcome these constraints and maximize digital technologies. The analysis concludes that China’s e-commerce market will depend on enterprises’ digital adoption. E-commerce enterprises must embrace ongoing learning and development and remove digital integration barriers to compete in today’s dynamic online industry. The study illuminates digital transformation and how it will impact e-commerce.