Journal articles on the topic 'Business enterprises Computer networks Malaysia'
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1
Hua, Sim Chia, Modapothala Jashua Rajesh, and Lau Bee Theng. "Determinants of E-Commerce Adoption Among Small and Medium-Sized Enterprises in Malaysia." International Journal of E-Adoption 1, no. 4 (October 2009): 1–18. http://dx.doi.org/10.4018/jea.2009100101.
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With a major proportion of research on Electronic Commerce (EC) undertaken on large corporations, and focused primarily on developed countries, little is known about the determinants of EC in Small and Mediumsized Enterprises (SMEs) of developing nations. This chapter explores the extent of EC use by SMEs, and provides some empirical evidence of how internal factors of firm and owner are influencing EC adoption among smaller businesses in Malaysia. The methodology and results of this study may be applicable to other developing countries. Findings confirm the low level of participation in EC by SMEs. The age of enterprise, as well as the owner’s gender and education were found to be significant in determining the level of EC adoption. Though some of the results contradict those of previous studies, they may have a greater implication for government authorities in drawing up guidelines, approaches, and formulating more effective frameworks to promote EC use among SMEs in developing countries.
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Asmahani Ibrahim, Nor, and Rosmimah Mohd Roslin. "Incorporating Social Networks in Business Relationships of Retail SMEs for Better Business Performance." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 1305. http://dx.doi.org/10.14419/ijet.v7i4.38.27811.
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The presence of hypermarkets with modern retail format has impacted the performance of retail small medium-enterprises (SMEs) in Malaysia. The challenges of remaining competitive and the ability to sustain the business have pushed many retail SMEs to cease operations within a short period after commencement. Despite these challenges, retail SMEs can still attain competitive advantage through the strategies of strengthening and maintaining business relationships with their social networks. This study postulates that fostering social networks, specifically on the notion of homophily or similarities among social network members, is able to lure valuable resources needed by retail SMEs in achieving superior business performance. Unfortunately, only few studies have focused on social networks from within the Asian context and many tend to overlook the importance of social networks specifically in retailing. This study also suggests the relationship between value and status similarities of retail SMEs and their ability to coordinate efforts in horizontal relationships. Therefore, this study extends the discussion on the role of social networks towards better business performance of retail SMEs in Malaysia by conceptualizing a framework indicating the importance of value and status homophily on coordination of activities leading to business performance of retail SMEs.
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Chelliah, Shankar, Lee Ming Huoy, and Mohamed Sulaiman. "Social Network and Adaptive Capabilities Among Malaysian Born Global Firms." Advanced Science Letters 21, no. 4 (April 1, 2015): 672–75. http://dx.doi.org/10.1166/asl.2015.5952.
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The purpose of the research is to understand the mediating factor of Social Network and Adaptive Capabilities to the Relationship between Malaysian Born Global Entrepreneur’s Behaviours on International Performance. In the global market’s environment, there is full of uncertainty impact that may affect the entrepreneur’s international performance. Social network, adaptive capabilities and the firm behaviour is affecting the outcome of firm’s performance. The dependent variable of this research is firm performance, the independent variable of this research is Born Global firm’s behaviour and the moderating variables of this research are social network and adaptive capabilities. Based on the collected data, the research concluded that there was a significant relationship for social network and adaptive capabilities on the relationship between born global entrepreneur’s behaviours that influence in firm’s international performance. The study is geographically localized and limited to testing a sample of small medium enterprise (SMEs), Malaysian service and manufacturing firms with a minimum of 5 employees and no more than 150 employees, and also have internationalize their business activity; example like import, export, franchise, direct investment and other international business activity.
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Chen, Tsung-Yi. "A Business Model Feasibility Evaluation Method for Enterprise Collaborative Business Innovation." International Journal of e-Collaboration 18, no. 1 (January 2022): 1–19. http://dx.doi.org/10.4018/ijec.290291.
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In innovative eras, business models (BMs) are the key factor driving business success. However, implementing innovative BMs is time-consuming and high-risk. Therefore, conducting BM feasibility evaluations after their initial design is important, but some unsolved problems remain in the assessment of the feasibility of BMs. Deciding whether to implement innovative BMs is difficult for all enterprises. The business model canvas (BMC) methodology has been widely adopted by enterprises that are designing innovative BMs. This study proposes a BMC-based feasibility evaluation method geared towards SMEs or new entrepreneurs. The study verifies the proposed method by designing BMs for a non-profit organization and an innovative coffee shop. The rationality of each dimension of the two BMs is calculated to generate a radar chart, and based on the results, advantages and disadvantages are discussed. The proposed method can be used to guide designers of innovative for-profit and non-profit BMs in evaluating feasibility and identifying strengths and weaknesses in each BM block.
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Wang, Lai-Wang, Fu-Lin Chu, and Chien-Hua Chang. "The Comprehensive Evaluation Model of Business Performance Based on Artificial Neural Network." Mobile Information Systems 2022 (September 24, 2022): 1–9. http://dx.doi.org/10.1155/2022/2573407.
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In recent years, domestic enterprises have shown a strong development trend with rapid growth and wide coverage. The construction and operation of enterprise management models are crucial to the development of enterprises, and a good enterprise management model helps enterprises stand firm in market competition and achieve long-term development. Under the background of the new economic normal, the market environment has seen tremendous changes, which have far-reaching effects on the operation and development of enterprises. In order to cope with the impact of the changing economic situation on enterprises, enterprises need to reasonably improve their management models and promote their sustainable and stable development. Through qualitative and quantitative research, scholars have expressed their views on this issue. Combining the existing studies and analyses by scholars at home and abroad, this paper discusses the necessity of the need for innovation in enterprise management in the context of the big data era, discusses the current situation of enterprise management, reveals the problems from both microaspects and macroaspects of enterprises, uses artificial neural networks to establish an enterprise performance assessment model and related policy recommendations, improves the efficiency of enterprises, and puts forward some constructive suggestions for the innovation of enterprise management models.
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Ibrahim, Nor Asmahani, Rosmimah Roslin, and Rozita Naina Mohamed. "The Role of Propinquity and Coordination in Influencing Competitive Advantage of Retail SMEs in Malaysia." International Journal of Business and Management 6, no. 1 (February 28, 2022): 7–12. http://dx.doi.org/10.26666/rmp.ijbm.2022.1.2.
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The existence of hypermarkets and supermarkets with modern retail format has affected the performance of many retailers in the category of small medium enterprises (SMEs) in Malaysia. In this era of disruptive marketing, the main challenges of retail SMEs are the ability to survive, to remain competitive and to sustain the business. With the challenges of finding the right strategies to compete effectively, there is now an inclination to look at social networks as means of establishing strong market presence. Engaging and maintaining social networks in their business relationships is essential for retail SMEs if they want to address strategic positions and subsequently build strong competitive advantage in the business. This study postulates that establishing social networks, specifically in terms of propinquity (related with network cluster, network centrality and geographic proximity) among social network members, will enable the gathering of important resources needed by retail SMEs to secure more sustainable competitive advantage. However, only few studies have focused on social networks especially from the Asian context and many have overlooked the importance of social networks in retailing. This study also suggests the need to focus on coordination in relation to propinquity of social networks which refers to the location of retail SMEs and their ability to coordinate efforts to gain competitive advantage. This study extends the literature on social networks by providing a conceptual framework describing the importance of propinquity on coordination of activities leading to the development of competitive advantage for retail SMEs.
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Chen, Huiya. "Development Countermeasures of Business Management Informatization Based on Machine Learning Algorithm." Mobile Information Systems 2022 (August 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/9108656.
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Business management is an important part of social service and governance. With the development of economy and technology, the pressure on enterprises to participate in the market competition is gradually increasing. Therefore, it is particularly important to establish an information-based business management system. However, there are still many problems in the process of informatization development of enterprise business management, which seriously restricts the comprehensive development of enterprises. On the one hand, the existing business management information system lacks effective security and supervision links. On the other hand, there is a lack of professional information technology personnel within the enterprise. Machine learning is a discipline that specializes in how to simulate human learning behavior, and it can continuously learn new knowledge structures to make itself progress and develop. The development of enterprise business management informatization is consistent with the development direction of machine learning itself. Therefore, this paper proposes a business management informatization construction method based on a machine learning algorithm, which aims to further promote the development of enterprises in the direction of informatization and modernization and improve the informatization level of enterprises. Experiments show that with the support of machine learning technology, the level of enterprise business management informatization can reach 82.31%, fully indicating that machine learning can help enterprises innovate management models and improve the level of information management of enterprises.
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Shang, Hongjiang, Weijia Li, Gengxin Li, Sheng Zhao, Lei Li, and Yongjian Li. "Analysis and Application of Enterprise Performance Evaluation of Cross-Border E-Commerce Enterprises Based on Deep Learning Model." Mobile Information Systems 2022 (September 20, 2022): 1–11. http://dx.doi.org/10.1155/2022/1058175.
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With the rise and gradual development of the Internet, today's era has been transformed into the information age. The network transaction mode has involved all levels. At the same time, a new business model is gradually emerging, that is, e-commerce enterprises. Compared with the traditional business model, e-commerce enterprises are more information technology, networking, and convenience. In the current cross-border e-commerce enterprise development model, e-commerce enterprise performance evaluation and application have always been a key concern. Based on the lag of performance calculation and analysis of cross-border e-commerce enterprises, this paper carries out experimental analysis by combining the in-depth learning model. The results of the experiment are as follows: (1) it analyzes the growth situation of overseas Internet sales enterprises, determines the research direction of the experiment, puts forward the construction principles of the performance index system of overseas Internet sales enterprises, and constructs the performance evaluation system of overseas Internet sales enterprises according to the principles, to ensure the reliability of data and effectiveness of performance accounting. (2) On the basis of retaining the traditional performance calculation and evaluation mode of cross-border e-commerce enterprises, the in-depth learning mode is integrated into the performance evaluation process of overseas Internet sales enterprises. Using the in-depth learning mathematical algorithm combined with the enterprise performance calculation algorithm of cross-border e-commerce enterprises can not only ensure the effectiveness of performance calculation but also classify more quickly, facilitate the later use, and reduce the pressure on business enterprise enterprises.
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Ooi, Shir May, and Christopher Richardson. "The internationalisation of service-sector SMEs in an emerging market." Review of International Business and Strategy 29, no. 1 (March 4, 2019): 44–60. http://dx.doi.org/10.1108/ribs-02-2018-0023.
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PurposeThis paper aims to explore the internationalisation of service-sector small- and medium-sized enterprises (SMEs) from an emerging market, focussing on the entry modes, psychic distance, business network, internationalisation challenges and capabilities of business training and consultancy firms from Malaysia.Design/methodology/approachA multiple-case study approach is adopted, and 31 in-depth interviews were conducted with the top management and executives from eight business training and consultation (BT&C) firms in Malaysia. The Uppsala model is used for theoretical guidance to analyse the internationalisation of the firms.FindingsThe results suggest that psychic distance, business network and business capabilities influence the internationalisation of BT&C firms from Malaysia. However, the discussion of entry modes in the framework of service internationalisation does not accurately explain the internationalisation of the studied firms.Research limitations/implicationsThis study is a qualitative research based on the experiences of eight firms. The basis of this study is inadequate for scientific generalisation. Quantitative research should be conducted in the future to provide a statistical test and empirical results. This study is concerned with the emerging-market context. The study could be expanded to include more industries and other emerging markets in the future.Practical implicationsThis study explored the application of internationalisation theories to the BT&C industry in an emerging market, with particular emphasis on firms’ entry modes, psychic distance, business networks, international challenges and capabilities. This study also highlighted some of the key internationalisation challenges facing emerging market small- and medium-sized enterprises (EMSMEs), underlining the importance of business networks and capabilities.Social implicationsNevertheless, this study shares useful and practical discoveries concerning the internationalisation process of BT&C firms from the emerging market, focussing on entry modes, psychic distance, business network, the challenges faced and the required capabilities.Originality/valueThe study provides new insights into service internationalisation in SMEs from an emerging market. The application of internationalisation theories to the BT&C industry in an emerging market is analysed.
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Li, Jing. "An Early Control Algorithm of Corporate Financial Risk Using Artificial Neural Networks." Mobile Information Systems 2022 (May 2, 2022): 1–12. http://dx.doi.org/10.1155/2022/4398602.
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Based on DL theory, this paper discusses and studies the early warning of enterprise financial risks in detail. And put forward a new enterprise financial risk early-warning model. The purpose is to enable enterprises to better analyze the changing trend of financial data, make correct decisions by managers and investors of enterprises, and promote the stable development of national economy and enterprises. This model is based on the early-warning theory of enterprises, based on the financial statements, business plans, and other relevant accounting information of enterprises, using accounting, finance, and marketing theories, adopting the methods of ratio analysis, comparative analysis, factor analysis, etc., to warn the financial risks of enterprises. This paper uses a lot of data to train the parameters of the DL financial early-warning model and then verifies the established financial early-warning model. In order to verify the reliability of this model, this model is compared with other two financial early-warning models. The results show that the prediction accuracy of this model is as high as 94%, which is 8~15% higher than that of other models. In this paper, the DL method has been applied to financial risk early warning and achieved good results. It has certain theoretical and practical significance in the field of enterprise financial early warning.
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Sivakumar, Eashwar, and Paras Chawla. "Decentralized Lean Business Model Canvas for Blockchain-Based Enterprises." Journal of Computer Science 18, no. 5 (May 1, 2022): 426–40. http://dx.doi.org/10.3844/jcssp.2022.426.440.
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Lin, Zeyu, and Shuai Li. "Prediction of Enterprise Economic Activity Behavior Based on Neural Network and ARIMA Hybrid Model." Mobile Information Systems 2021 (November 15, 2021): 1–12. http://dx.doi.org/10.1155/2021/4571840.
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Enterprise economy refers to the comprehensive situation reflected in the gross product, production scale, total production and efficiency, technological content, marketing means, and so on; under certain social conditions, enterprises use resources obtained by law to engage in economic activities. Under the guidance of consciousness or culture, enterprises use “legally obtained resources” to promote economic development. Enterprise economy is affected by manpower, capital, management, operation, policy, and other aspects. In the context of the rapid development of big data in the current era, this paper proposes a prediction model of enterprise economic activity behavior based on neural network and ARIMA by investigating a variety of artificial intelligence models and verifies its feasibility. Commodity circulation enterprises have a more urgent demand for the development of business audit due to their operation characteristics. Therefore, this paper takes commodity circulation enterprises as representatives and predicts business audit in the big data environment based on the model proposed in this paper.
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Gao, Suying, Xiaohui Ma, and Xue Zhao. "Entrepreneurship, Digital Capabilities, and Sustainable Business Model Innovation: A Case Study." Mobile Information Systems 2022 (September 22, 2022): 1–13. http://dx.doi.org/10.1155/2022/5822423.
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Sustainable business model innovation can effectively cope with the complex and changing external environment in the digital economy, which is the key for enterprises to gain sustainable competitive advantage, and entrepreneurship is closely related to sustainable business models. However, the process and mechanism of the role of entrepreneurship on sustainable business model innovation are not clear in existing studies. The purpose of this article is to illustrate how entrepreneurship leads to and influences sustainable business model innovation. Based on the perspective of digital capabilities, this article adopts an exploratory single-case study to explore the new connotation of entrepreneurship and its influence mechanism on sustainable business model innovation. The study found that innovation spirit, adventure spirit, and co-benefit entrepreneurship have emerged in the digital economy. Through the inherent role of digital sensing capabilities, digital seizing capabilities, and digital transformation capabilities, sustainable business model innovation is effectively designed and implemented to achieve multidimensional value creation and capture. This article adds to the latest literature on sustainable business model innovation for enterprises through case evidence.
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Sun, Lu, and Yanwen Wang. "Improving and Evaluating Business Management in the Digital Economy Based on Data Analysis." Security and Communication Networks 2022 (August 25, 2022): 1–7. http://dx.doi.org/10.1155/2022/5908877.
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In the new economic situation, enterprises formally enter the transition period of “think power differentiation and gap,” big data, artificial intelligence, digital empowerment, and other new digital economy has a positive effect on improving technical means and reducing operating costs, but the digital economy also forces enterprises to improve their strategies at a multiplier speed. The strategic decision of enterprises is to de-enterprise, from pursuing a single business operation benefit to winning competitive advantage by creating a platform ecosystem; the enterprise organization management mode is shifting from vertical management to horizontal collaborative management, and the organization structure is developing dynamically flat. This requires enterprises to pay attention to the role of data analysis in daily operations and management, promote the establishment of a data-driven corporate culture, make full use of digital technology, modularize production links or departments with similar functions or services, and promote the transformation of organizational structure. By unifying the output of products or services to the outside world; at the same time, improve the corporate performance model, shift from result-oriented to process-oriented assessment, and implement a personalized, authority, and accountability system. Shift from result-oriented to process-oriented assessment and implement a personalized incentive model that matches authority, responsibility, and benefits.
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Zhang, Wei, Chaodan Yang, Ying Cheng, Haiying Chen, and Wei Wang. "Research on the Mechanism of the Sustainable Development Model of Enterprises Based on Big Data Analysis Model." Mobile Information Systems 2021 (November 26, 2021): 1–12. http://dx.doi.org/10.1155/2021/4469255.
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This paper adopts the analysis method of big data to conduct an in-depth analysis and research on the sustainable development mechanism of enterprises, firstly, combing the content and methods of enterprise business performance evaluation, defining enterprise sustainable development, and exploring the integration of enterprise sustainable development and enterprise business performance evaluation by specifically analyzing from different perspectives. Then, we analyze the industry in which the enterprise is located, its business situation, and strategy, and after analyzing the current business performance evaluation system of the enterprise, we point out its problems. The current performance evaluation system is incomplete, focuses only on economic benefits, is not long term, and does not consider the company’s strategy and stakeholders’ needs, which affects its importance and feasibility. Then, the above analysis is integrated to build a performance evaluation system consisting of four dimensions, namely, economic dimension, scientific research and innovation dimension, social dimension, and ecological dimension, from the perspective of sustainable development, and a total of 29 indicators are selected. Then, the two research tools of first value method and fuzzy comprehensive evaluation method were combined, based on the panel data of enterprises from 2016 to 2020; the first value method was used to get the weights of each indicator in the business performance evaluation system. The fuzzy comprehensive evaluation method was used to get a comprehensive evaluation score of enterprise’s business performance in 2019, and then the evaluation results were analyzed in detail and suggestions were made, which confirms that enterprises are based on the sustainable development perspective. The evaluation of business performance is necessary and important. Finally, we propose supporting safeguards, such as establishing a performance evaluation team and a monitoring mechanism, dynamically improving the enterprise performance evaluation system, establishing a sustainable corporate culture, preparing and publishing a sustainable development report, and accelerating the information construction of performance evaluation.
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Memetov, Aiiar. "PRACTICE OF DIGITALIZATION OF DOMESTIC AGRICULTURAL ENTERPRISES." Economic Analysis, no. 32(1) (2022): 71–80. http://dx.doi.org/10.35774/econa2022.01.071.
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The main theoretical and practical aspects of the digital transformation of agro-industrial enterprises are considered in the article. In the course of the research the levels of digitalization of agro-industrial enterprises were determined, where the transformation of production relations of participants in the digital transformation of agricultural enterprises is carried out. The main modern digital technologies used in agrarian business are systematized. The specifics of digitalization of agro-industrial production depending on the segment of the digital economy, in particular, the sector of information and communication technologies and e-business infrastructure is determined; digital production and e-business, including industry, ie the processes of a business organization using computer networks; e-commerce, ie retail online sales of goods. The directions of digital transformation of agricultural enterprises are analyzed and the leading agricultural holdings of Ukraine that are leaders in digitalization are identified, in particular Kernel, Nibulon, Myronivsky Hliboproduct, UkrLandFarming, Astarta. The role of effective digital strategy in the digital transformations of agricultural enterprises is proved. An example of "Agroprodservice" business digitalization strategy formation is considered.
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Zhang, Xiaofeng. "New business management model of enterprises based on data-driven." International Journal of Information Technology and Management 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijitm.2022.10051929.
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Song, Lin, and Xin Li. "Enterprise E-Commerce Management Strategies Based on Light Weight Deep Learning Model in the Context of New Retail." Mobile Information Systems 2022 (May 11, 2022): 1–8. http://dx.doi.org/10.1155/2022/1946521.
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The advancement of information technology has changed traditional manufacturing and business methods, resulting in the emergence of a new business mode known as electronic commerce (E-Commerce). Owing to its obvious benefits, E-Commerce has been extensively employed in a short time, creating a group of E-Commerce enterprises. Establishing financial management strategies that are appropriate for E-Commerce enterprises is critical since it not only aids executors in formulating better financial policies but also benefits enterprises’ administration and market competitiveness. Most of the retail stores in the technological environment are taking different dimensions in their performance through this enterprise E-Commerce. In this study, an E-Commerce system is implemented for retail marketing using lightweight deep learning technology. The deep Lagrangian multiplier approach is used to promote the user’s purchase behavior and to determine whether the estimated optimal transaction quantity is achieved. The user can utilize the mobile application with the internetworking facility to place the order for required products. The proposed system showed the highest performance achieving 98.78% accuracy as compared to the existing system with 92.46% accuracy.
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Wei, Ran, and Sheng Yao. "Enterprise Financial Risk Identification and Information Security Management and Control in Big Data Environment." Mobile Information Systems 2021 (September 6, 2021): 1–6. http://dx.doi.org/10.1155/2021/7188327.
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With the deepening of business informatization, all kinds of business application data are rapidly gathering, which promotes enterprises to enter the era of big data. Enterprises begin to build the concept of big data, deepen the understanding of big data, extract potential data value, and improve the operation ability of enterprises and information systems. At the same time, big data brings internal control information to the system, which is becoming more and more challenging, so enterprises pay more and more attention to the security of the information system. This paper aims to introduce the enterprise financial risk identification and information security management and control under the big data environment and master the enterprise financial risk identification method so that the enterprise can adapt to the needs of the times competition faster and better. This paper introduces the method of identifying financial risk in the background of big data by classifying the methods of financial risk identification and designing the factor model. Through the experimental investigation of the company's financial asset rate, the enterprise financial risk situation is displayed, and the enterprise can improve the internal management to control the financial risk within a certain range. The experimental results show that from 2016 to 2020, the internal control and asset rate of the enterprise affect the financial risk of the enterprise, 82% of the operators only have a reasonable debt structure and sufficient solvency, the operator can operate in a safe state and then maintain a low financial risk, and the operator should also take measures to prevent the occurrence of risk in advance and realize the business goal of maximizing benefits.
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Li, Qingping, and Guoqiang Wu. "ERP System in the Logistics Information Management System of Supply Chain Enterprises." Mobile Information Systems 2021 (October 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/7423717.
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In the era of rapid development of information, with the popularization of computers, the development of science and technology, and the continuous growth of IT technology and business, the enterprise resource planning (ERP) system has become a platform and guarantee for the completion of business management processes after long-term operations. Establishing a logistics management information system is an important means for Chinese companies to improve their logistics efficiency. This is the prerequisite for modern companies to gain a competitive advantage in the management of logistics companies. Therefore, organizations must adapt to different needs, fierce competition, and rapid strategic changes. This is a powerful supplement to the nature of logistics companies. The logistics management information system has continuously experienced the processes of MRP, MRP II, and ERP. This article aims to study how to use computers in logistics management to create an ERP system-based enterprise logistics information management system. This article puts forward the development significance of logistics information management system, uses ERP system to analyze complex logistics business in detail, and designs the overall framework, specific functions, and data model of the system in detail. The experimental results of this paper show that the ERP system has important application value in the logistics information management system of supply chain enterprises, and it can effectively increase the value of customer satisfaction by 86.7%.
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Zhou, Da. "Application of Data Mining Technology in Enterprise Digital Human Resource Management." Security and Communication Networks 2022 (June 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/7611623.
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The purpose of this paper is to explore the practical application of big data comprehensive mining and analysis technology in the overall human resource management work of the entire enterprise under the gradual increase in the amount of enterprise data, so as to effectively improve the overall core strategic competitiveness of the entire enterprise and improve the overall human resource management level of the entire enterprise. This article adopts the risk management theory of quantifying the characteristics of business management data, analyzes various management models in modern human resource information system management, and analyzes the entire process of modern enterprise daily operation and various types of human resource system risk management and business data. Combined with quantitative management theory, it introduces the basic concepts of business data feature mining system theory and its most common six data analysis and calculation methods. The module design examples are organically combined, and the traditional data mining analysis theory and its application are extended to the enterprise human resource project management information system. Finally, the experimental results show that the use of big data mining and analysis technology can solve the problems of human resource quality management in small- and medium-sized enterprises. The independent quantitative data mining analysis model has achieved 25% improvement in the application effect of the analysis of the types of human resources in management enterprises, the prevention of internal talent loss in management enterprises, and the performance evaluation management system of enterprises.
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Hao, Guo. "Design of Enterprise Financial Management Cloud Platform Based on Neural Network Algorithm." Mobile Information Systems 2022 (August 8, 2022): 1–10. http://dx.doi.org/10.1155/2022/2479822.
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As the business environment is constantly changing with the ever-changing economic and competitive growth trends, enterprises are more sensitive to market demand. Information management is the first thing that enterprises need to do well in order to effectively and timely communicate with the market, and then determine success or failure. The development and use of enterprise financing system software conform to this trend, which is conducive to implementing information management, and improving management quality and management level. Based on this point, this study designs a set of financial management cloud platform system according to the financial situation of an enterprise in a certain place. According to its business situation and business financial management characteristics, by integrating the neural network principle and Bayesian regularization algorithm, this study puts forward the construction of the Bayesian regularization algorithm based on the neural network model, then analyzes the BP neural network algorithm, evaluates and analyzes the asset management in the process of financial management, and puts forward cloud platform design, system analysis, system framework, etc. The organizational structure and system functions of the platform are introduced in detail for enterprise financial management. Finally, the function and performance of the system are tested in a reasonable testing environment, and the results are empirically analyzed. The test shows that the system is effective in realizing the financial management system, which proves that the financial cloud platform management system developed in this study is suitable for enterprises.
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Zhang, Xin, and Haoyu Zhang. "Construction of Mathematical Model of Enterprise Marketing Economic Analysis Based on Neutral Analytic Hierarchy Process." Mobile Information Systems 2022 (June 24, 2022): 1–7. http://dx.doi.org/10.1155/2022/3230056.
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With the gradual opening of the market, the overall development of Chinese enterprises is “rapid development, gradual improvement of industry status, and promising prospects.” Not only the development of Chinese local enterprises is getting better and better, but also a large number of foreign-funded enterprises are pouring into the domestic market, and the competition pressure on domestic enterprises is increasing. The purpose of this study is to study the effect of neutral AHP on the establishment of the mathematical model of enterprise marketing economic analysis and to use the method of structural judgment matrix and hierarchical structural model to put forward a concrete practical analysis of enterprise marketing cost and business performance. The experimental results of this study show that the establishment of an enterprise marketing economic mathematical model based on AHP can help group companies maintain an annual revenue growth rate of more than 5.8%, while the annual revenue economic growth rate is less than 5% for companies that establish a mathematical model.
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CODREANU, Carmen Mariana. "The Benefits of Digitization for Small and Medium Enterprises." Anuarul Universitatii "Petre Andrei" din Iasi - Fascicula: Drept, Stiinte Economice, Stiinte Politice 28 (December 10, 2021): 100–106. http://dx.doi.org/10.18662/upalaw/70.
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Digital technologies are awaited to have an enormous influence on developing countries’ forecasts for economic growth. Digitization will remodel business activities in many directions. Many organizations and services have remained unlocked during COVID-19 by embracing new concrete distancing practices and technology to maintain their business running and their workers secure. The SME sector is essential to economies around the globe. With normality and revival from the pandemic in sight, it is more important than ever for SMEs to highlight from opponents, be as efficient and successful as possible and provide help to the country’s economic recovery. The devices and technology available now can assist to reduce costs, grow effectiveness and grow appearance. By projecting a digital transformation journey and using the first measures to develop a business by inserting in place simple but efficient digitalization devices, SMEs can help future-proof their offering and establish flexibility for years to arrive.
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Hoang, Thi Minh Nguyet, Thi Thai Thuy Nguyen, and Thi Thu Hien Phan. "Government environmental regulation, corporate social responsibility, ecosystem innovation strategy and sustainable development of Vietnamese seafood enterprises." International Journal of Data and Network Science 5, no. 4 (2021): 713–26. http://dx.doi.org/10.5267/j.ijdns.2021.7.010.
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The objective of the article is to assess the influence of corporate social responsibility and Government environmental regulation on sustainable growth and development of Vietnamese seafood enterprises. Data was collected for 3 months with valid votes for analysis of 658 enterprises. The results show that both social responsibility, government environmental regulation, and ecosystem innovation strategies have a statistically significant positive impact on Enterprise sustainable business growth of Vietnamese seafood enterprises. At the same time, the ecosystem innovation strategies are fully mediating in the relationship between Government environmental regulation and Enterprise sustainable business growth.
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Hou, Yunyun, and Xiaoyan Dong. "Construction of Competitive Advantage and Competitive Strategy Model of Sports Enterprises Based on Multicase Study and In-Depth Learning." Security and Communication Networks 2022 (July 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/4998467.
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Summary. With the support of national policies and the holding of the 2022 Beijing Winter Olympic Games, China’s sports market presents an unprecedented prosperity, but it also faces many challenges. The market environment in which the sports industry is located is full of uncertainty and complexity. Creative products, competitive sports enterprises, and clear business models are urgently needed. Research purpose. To explore the future development mode and the prospect of China’s sports undertakings and enterprises through the analysis and research on the competitive advantage of China’s sports industry. In this context, since 2016, this study has started with the micromarket players. Research methods. Using the case study method highly praised by the international economic management academic circles, combined with in-depth learning, this study has conducted a systematic and comprehensive study on a total of 50 Chinese sports enterprises by mining and analyzing the unstructured text, video, and other data obtained from public materials and interviews. This paper deeply analyzes the competitive strategy of China's sports enterprises, creates and maintains competitive advantages in the sports industry, and studies the model construction of case studies and analysis. Conclusion. The study found that the product and business model, the leadership of managers, the innovation ability of teams, and the external market environment are the core elements for sports enterprises to formulate competitive strategies and create and maintain competitive advantages. The organic combination of the four eventually forms a competitive advantage that is difficult to replicate and finally forms a value chain through the implementation of competitive strategies so as to realize the value promotion and sustainable development of enterprises.
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Scheller, Christian Vibe, and Pavel Hruby. "Business Process and Value Delivery Modeling Using Possession, Ownership, and Availability (POA) in Enterprises and Business Networks." Journal of Information Systems 30, no. 2 (September 1, 2014): 5–47. http://dx.doi.org/10.2308/isys-50923.
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ABSTRACT This paper describes a metamodel and notation for value delivery business process modeling, describing value delivery as flows of possession, ownership, and availability of economic resources between economic agents, value creation, and consumption, and a transfer of resources between agents' repositories. The motivation of the solution was to refine the REA ontology by replacing the generic concept of change in an economic resource with more specific concepts of change in ownership, change in possession, and change in the availability of an economic resource. The concepts of possession and ownership map directly to the same concepts in property law. The expressive power of the POA model covers traditional accounting, the REA ontology, and value networks. A POA model has the graphical notation and semantic precision that is required for model-driven design of ERP applications, supply chain applications, and enterprise information systems.
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Zhang Quan, and Zhang Yantao. "Research on relationship between IT and business efficiency: enterprises in Shaanxi Province." Journal of Convergence Information Technology 8, no. 9 (May 15, 2013): 760–69. http://dx.doi.org/10.4156/jcit.vol8.issue9.94.
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Zhang, Yi, Zhiyong Fang, Yanling Xu, and Zhao Bao. "Financial System Design for High-Tech Enterprise Based on Cloud Service and Task Scheduling Algorithm." Mobile Information Systems 2022 (August 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/6372258.
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So far, with the development of the network, a new era of cloud computing is gradually advancing. Cloud services based on cloud computing technology have long become a new business model with broad application prospects. This paper studies the design of a high-tech enterprise financial system based on cloud service and task scheduling algorithm. The project can fully meet the following requirements: the establishment of a financial management system can improve the degree of automation and computerization of financial management and reduce the labor intensity of financial personnel. It is an analysis and decision-making program for the financial management of high-tech enterprises that can be shared using financial management software. Using a financial management system in actual work can achieve rapid financial data entry and improve the accuracy of data accounting. The high-tech enterprise financial management system is a very suitable and convenient management system, which substantially meets the daily business needs of high-tech financial management of enterprises.
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Grant, Kevin, David Edgar, Arun Sukumar, and Martin Meyer. "‘Risky business’: Perceptions of e-business risk by UK small and medium sized enterprises (SMEs)." International Journal of Information Management 34, no. 2 (April 2014): 99–122. http://dx.doi.org/10.1016/j.ijinfomgt.2013.11.001.
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Ngui, Kwang Sing, Peter Songan, and Kian Sam Hong. "Organisational Learning Capability of Malaysia SMEs: Examining the Effects of Entrepreneurial Orientation and Human-Capital Development Practices." Journal of Information & Knowledge Management 07, no. 04 (December 2008): 219–30. http://dx.doi.org/10.1142/s0219649208002123.
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The current study built and empirically tested a model of the relationships between selected organisational variables, Organisational Learning (OL) capability and performance in the context of small- and medium-sized enterprises (SMEs) in Malaysia. Theoretical advances in the OL domain have been based on the experiences of large organisations in the western hemisphere. In response, the study focuses on analysing the OL capability of SMEs in a transitional economy, namely Malaysia. Structural equation modeling was applied to analyse the datasets from 256 manufacturing and services SMEs. Statistical results showed that entrepreneurial orientation and human-capital development practices have direct positive effects on SMEs' OL capability. It was further found that human-capital development practices mediated the relationship between entrepreneurial orientation and OL capability. This implied that while entrepreneurial orientation fosters the need for a strong OL capability, human-capital development practices serve as the mechanisms for developing such capability. Lastly, empirical evidence was provided to support the notion that OL capability enhances the performance of SMEs.
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Li, Xiutian, and Tan Meng. "Enterprise Precision Marketing Effectiveness Model Based on Data Mining Technology." Mobile Information Systems 2022 (July 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/2020038.
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Due to the explosive growth of massive consumption data, the traditional marketing model of enterprises has become stretched. The rapid advancement of data mining technology has given new impetus to the innovation of the marketing strategies of enterprises, promoting the progressive transformation of enterprises from traditional passive marketing to precise and refined marketing. Data mining technology’s basic task is to analyze data, acquire insight into cause and effect, and then predict the future. As a result, the technology is coupled with the enterprises’ marketing activities, and a precise marketing model is built using big data consumption. This will aid in the comprehensive and three-dimensional description of customers, as well as the analysis of potential customers’ attributes, to give a scientific basis for the formulation and implementation of precise data-driven decision-making for enterprises. As a result, our study enhances and optimizes the K-means algorithm in combination with the artificial bee colony algorithm aiming at fixing the issue that the K-means algorithm is sensitive to cluster center initialization and improving the enterprise precision marketing model’s clustering performance. In the precise marketing scenario of the telecom business, the improved K-means clustering model is utilized to realize the analysis and prediction of telecom customers, as well as to carry out precise marketing based on the predicted findings. Finally, the optimized K-means clustering algorithm can objectively and comprehensively reflect the characteristics of telecom customer value segmentation, efficiently mining future clients and preventing blind marketing by enterprises, based on the model's actual verification results. Simultaneously, it provides substantial data support for telecom enterprises’ resource planning, as well as pointing out the next step in increasing market share.
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Al Mamun, Abdullah, Syed Ali Fazal, and Wan Nurulasiah binti Wan Mustapa. "Entrepreneurial Traits, Competency, Performance, and Sustainability of Micro-Enterprises in Kelantan, Malaysia." International Journal of Asian Business and Information Management 12, no. 3 (July 2021): 381–404. http://dx.doi.org/10.4018/ijabim.20210701.oa23.
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This study examined the effects of locus of control, tolerance of ambiguity, vision, persistence, and resilience on entrepreneurial competency, performance, and sustainability among micro-enterprises in Kelantan, Malaysia. Adopting a cross-sectional design, the authors collected data from 403 micro-entrepreneurs. The findings revealed that locus of control and vision significantly influenced entrepreneurial competencies. In turn, entrepreneurial competencies, locus of control, and visionary traits significantly affected micro-enterprise performance. The findings also revealed a positive effect of entrepreneurial competencies and performance on micro-enterprise sustainability. The findings also confirmed a significant mediating effect of entrepreneurial competencies on the relationship between locus of control and vision and enterprise performance. The government and developmental organizations should collaborate to enhance locus of control, vision, and resilience traits in order to facilitate micro-enterprise sustainable performance.
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Xu, Ji, Hong Zhou, Yanjun Fang, and Lan Liu. "Data-Driven Approach for the Short-Term Business Climate Forecasting Based on Power Consumption." Wireless Communications and Mobile Computing 2022 (April 27, 2022): 1–11. http://dx.doi.org/10.1155/2022/4037053.
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With the fast development of intelligent data-mining technologies, some advanced artificial intelligence approaches are widely developed and employed to help the decision-making of enterprises and government. The application of advanced and intelligent approaches successfully helps the enterprises and government find out the valuable information hidden in the massive economic data. This study presents a novel data-driven approach to forecast the short-term business climate using the electric power consumption data of large enterprises. In addition, the climate conditions, interactions between different industries, the business cycle, and some other related variables are also considered and included in the developed forecasting model. To be specific, the business climate prediction model based on support vector machine (SVM) is proposed firstly, and the human-simulated particle swarm optimization algorithm (HSPSO) in our previous work is employed to optimize the parameters of the developed forecasting model. Secondly, a novel power-consumption-based business climate index (BCI) system is developed and comprehensively analyzed. The developed BCI system that contains the index for each separate industry (BCI-I), the index for tertiary industry (BCI-T), the index for secondary industry (BCI-S), and the index for the entire province (BCI-P) is proposed. In addition, the developed BCI system is employed to normalize the output of SVM-based forecasting model to directly indicate the business climate, which is very important to the decision-making of enterprises and government under the background of smart cities. Finally, the real data of Guangdong province in China, including the gross output values (GOV) and detailed power consumptions of more than 38000 enterprises, are employed to test the proposed approach. Experimental results show that the GOV of each industry and the whole society predicted by HSPSO-SVM matches the real data well. Moreover, the predicted BCI can directly indicate the business climate in advance, which is of great value for economic-decision and policy-making of both enterprises and government.
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Amalnik, Morteza Sadegh. "A Reference Model and a vision for manufacturing system for 2030." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 7 (April 30, 2015): 5861–68. http://dx.doi.org/10.24297/ijct.v14i7.1899.
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The manufacturing enterprises are now experiencing high pressure of competition. In addition, the advancement in computer software, hardware, networks, information technologies and integration has been gradually reshaping the manufacturing companies by shifting from the industrial age to the information and knowledge era. Due to these elevated competitiveness and advanced computer technology, a number of new manufacturing and management strategies (e.g., Lean production, Just in time, Kaizen, Concurrent Engineering (CE), Cellular Manufacturing (CM), Agile manufacturing, Business process re-engineering (BPR), Agent-based systems (ABS), Computer Integrated Manufacturing (CIM), virtual manufacturing system have emerged for the innovation of manufacturing industries. The developments in organizational concepts created new concepts such as Smart organizations, Centers of excellence, Intelligent enterprises, Integrated enterprises, Virtual enterprises, Virtual enterprises networks, Dynamic enterprises, Extended enterprises, Agile enterprises, Lean enterprises, Process-driven organizations, e-enterprises, Borderless enterprises, Complicated or complex manufacturing systems, Flat structures and others. These terms have been used by researchers to describe various aspects of enterprises and its operational aspects. Although they have different definitions and scopes, there are several common issues: integration of enterprise functions; integration of enterprise resources; and collaboration. In addition Various vendors produced software applications such as Materials Requirement Planning (MRP), Manufacturing Resource Planning (MRP II), Enterprise Resource Planning (ERP),CAD/CAM systems, Manufacturing Execution System (MES), Advanced Planning & Scheduling System (APS), Supply Chain Execution (SCE), Customer Relationship Management (CRM), Advanced Order Management (AOM), Warehouse Management Systems (WMS), Transport Management System (TMS) and others. This paper proposes a Reference Model and vision for Manufacturing System for 2030 and discussed various aspects of future manufacturing enterprise..It supports the inter-enterprise functions/resources integration and collaboration over the networked environment.
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Yang, Ning. "Financial Big Data Management and Control and Artificial Intelligence Analysis Method Based on Data Mining Technology." Wireless Communications and Mobile Computing 2022 (May 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/7596094.
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Driven by capital and Internet information (IT) technology, the operating scale and capital scale of modern industrial and commercial enterprises and various organizations have increased exponentially. At present, the manual-based financial work model has been unable to adapt to the changing speed of the modern business environment and the business rhythm of enterprises. All kinds of enterprises and organizations, especially large enterprises, urgently need to improve the operational efficiency of financial systems. By enhancing the integrity, timeliness, and synergy of financial information, it improves the comprehensiveness and ability of analyzing complex problems in financial analysis. It can cope with such rapid changes and help improve the financial management capabilities of enterprises. It provides more valuable decision-making guidance for business operations and reduces business risks. In recent years, the vigorous development of artificial intelligence technology has provided a feasible solution to meet the urgent needs of enterprises. Combining data mining, deep learning, image recognition, natural language processing, knowledge graph, human-computer interaction, intelligent decision-making, and other artificial intelligence technologies with IT technology to transform financial processes, it can significantly reduce the processing time of repetitive basic financial processes, reduce the dependence on manual accounting processing, and improve the work efficiency of the financial department. Through the autonomous analysis and decision-making of artificial intelligence, the intelligentization of financial management is realized, and more accurate and effective financial decision-making support is provided for enterprises. This paper studies the company’s intelligent financial reengineering process, so as to provide reference and reference for other enterprises to upgrade similar financial systems. The results of the analysis showed that at the level of α = 0.05 , there was a significant difference in the mean between the two populations. When the r value is in the range of -1 and 1, the linear relationship between the x and y variables is more obvious. This paper proposes decision-making suggestions and risk control early warning to the group decision-making body, or evaluates the financial impact of the group’s decision-making, and opens the road to financial intelligence.
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DiPasquale, Joanna, and Claire R. McInerney. "Knowledge Management in Small- and Medium-Sized Enterprises." Journal of Information & Knowledge Management 09, no. 04 (December 2010): 341–53. http://dx.doi.org/10.1142/s0219649210002723.
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KM principles often apply to large companies (more than 200 employees), where issues of general management and skill sets, as well as resources, often require comprehensive and multi-department solutions. However, many small businesses experience the same issues of knowledge sharing and management, but may find boundaries in the development and implementation of programs. How can small- to medium-sized enterprises (SMEs) benefit from KM principles? What areas in the traditional literature immediately apply, and what boundaries arise? Often encompassing multiple roles, managerial practices, and efforts in microcosm, how can these smaller companies provide the structure and impact needed to make KM principles work for them? This work analyses the problems that small businesses face in the collection, dissemination, and storage of company knowledge, including issues of technology, communities of practice, and "stickiness" for best-practice goals. The definitions of small business, as outlined by the European Commission and U.S. Small Business Administration (SBA), will serve as a useful tool for scope and discussion. This research will explore three key classifications of traits — structural or systemic, communication, and qualitative — through a review of the areas in which the challenges of small businesses, because of their size, imply somewhat different approaches to KM.
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BORRAJO, M. LOURDES, BRUNO BARUQUE, EMILIO CORCHADO, JAVIER BAJO, and JUAN M. CORCHADO. "HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES." International Journal of Neural Systems 21, no. 04 (August 2011): 277–96. http://dx.doi.org/10.1142/s0129065711002833.
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During the last years there has been a growing need of developing innovative tools that can help small to medium sized enterprises to predict business failure as well as financial crisis. In this study we present a novel hybrid intelligent system aimed at monitoring the modus operandi of the companies and predicting possible failures. This system is implemented by means of a neural-based multi-agent system that models the different actors of the companies as agents. The core of the multi-agent system is a type of agent that incorporates a case-based reasoning system and automates the business control process and failure prediction. The stages of the case-based reasoning system are implemented by means of web services: the retrieval stage uses an innovative weighted voting summarization of self-organizing maps ensembles-based method and the reuse stage is implemented by means of a radial basis function neural network. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.
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Karyotaki, Maria, Athanasios Drigas, and Charalabos Skianis. "The Role of Mobiles and Women in the Sustainable Local Economic Development." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 22 (November 29, 2022): 111–26. http://dx.doi.org/10.3991/ijim.v16i22.34855.
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Women’s access and training to use mobile technology can set the ground for creating trusted communities that provide valuable guidance on new partnerships as well as alternative business models. Such business models encompass innovative business plans adapted to the Agenda 2030 for sustainable development. Electronic commerce or small and medium-sized enterprises are pivotal to women’s entrepreneurship and they are both grounded on the adoption of mobile marketing technology and on the prolongment of the product life cycle by giving consumers’ control on its production, reuse and resale. In addition, mobile technology advancement as well as innovation, proactiveness and risk-taking initiatives can assist women to grow their business, enhance gender equality and provide long-term economic stability for a country.
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Wu, Zhaoyang, James Yong Liao, Shiyong Wang, Jiaoyao Ji, and Xiaokui Zhao. "Corporate Leadership Strategy Management Based on Entropy Coupling Algorithm." Mobile Information Systems 2021 (July 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/2884142.
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With the continued economic downturn, coupled with the slowdown of domestic economic development and fierce market competition, the development of small and medium-sized enterprises has become more and more difficult. Because the financial background and operating strength of small and medium-sized enterprises are far inferior to large-scale enterprises, coupled with the influence of global economic integration, many small and medium-sized enterprises have gradually closed down. Therefore, exploring the entropy coupling algorithm is of great significance to the role of corporate leadership strategy management. This paper studies the coupling conditions and coupling process of corporate strategy and business model, builds a new coupling model, and goes deep into the coupling model to study the cooperation mechanism between its internal modules and initially builds the company to break through the two major dilemmas at the same time. This paper uses entropy theory to evaluate corporate leadership strategy, constructs an evaluation index system based on entropy, determines the weight of each index, and calculates the entropy value. This paper uses the alpha coefficient to test the reliability of the questionnaire. The value range of α coefficient is [0, 1], and different values represent different reliability. Large enterprises as a whole are mostly in the highly coupled (41.80%) and moderately coupled (27.34%) stages; medium-sized enterprises as a whole are mostly in the highly coupled (39.50%) and moderately coupled (31.50%) stages; small enterprises as a whole are mostly in the moderately coupled (39.50%) and moderately coupled (40.72%), low coupling (33.20%), and high coupling (25.9%) stages; microenterprises as a whole are mostly in the low coupling (43.70%), moderate coupling (36.41%), and high coupling (30.51%) stages. The results show that the entropy coupling algorithm can improve the deficiencies in the leadership strategy and provide a practical and reliable path for carrying out leadership development projects.
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Jain, Vipul, and Lyes Benyoucef. "Managing long supply chain networks: some emerging issues and challenges." Journal of Manufacturing Technology Management 19, no. 4 (May 2, 2008): 469–96. http://dx.doi.org/10.1108/17410380810869923.
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PurposeThe emergence of new manufacturing technologies, spurred by intense competition, will lead to dramatically new products and processes. New management systems, organizational structures, and decision‐making methods will also emerge as complements to new products and processes. This paper attempts to investigate technologies, systems and paradigms for the effective management of networked enterprise (supply chain networks), especially long supply chains. In doing so, the paper presents not only an exhaustive literature review to identify the complexities, gaps and challenges associated with long supply chains but also the emerging enabling technologies to support these gaps and challenges.Design/methodology/approachThe approach takes the form of an interview of industrials, researchers and a literature review.Findings“Competition in the future will not be between individual enterprises but between competing supply chains.” Business opportunities are captured by groups of enterprises in the same enterprise network. This is due to the global competition that forces enterprises to focus on their core competences.Practical implicationsThe paper presents a vision of the future technical issues relating to long supply chains and an insight into the future scientific and industrial advances required to meet future market and public demands.Originality/valueThis research work highlights the research issues and discusses the key enabling features, which will need to evolve and be perfected in industry in the future manufacturing networked enterprises and especially long manufacturing supply chains.
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Li, Zilian, Qiumei Hu, and Jie Huo. "Method for Controlling Economic Management Cost in Enterprises Based on Coase Theorem." Security and Communication Networks 2022 (October 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/3913087.
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In today’s integrated economy, no country’s economic development can be outside the international economic environment. After continuous and rapid development, China’s economy has surpassed Japan’s overall economic level and has become the second largest economic power in the world. But with the advent of the new normal economy in China, the economy has entered a stage of medium- and high-speed development, and business management and cost management of enterprises are also facing the transformation of strategies and systems. Every enterprise and company is trying its best to improve its own cost management system, business model, and cost management strategy. The development of science and technology and the advent of the era of information technology have gradually brought China’s economic development into a green development track, which has put forward greater research topics for enterprise cost management. Therefore, the method for controlling economic management cost in enterprises based on the Coase theorem was proposed.
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Cai, Gang, and Chunmei Ni. "High-Reliability Business Management Strategy Analysis Based on GPRS Wireless Communication." Wireless Communications and Mobile Computing 2022 (March 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/2472988.
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Enterprise is an indispensable factor of production in the country’s economic and social development, and the operation of the enterprise is indispensable. The development of strategic operation of the enterprise is facing many problems, and the survival of the enterprise is facing serious threats. The purpose of this article is to study the method of establishing a reliable enterprise strategic management system based on GPRS wireless communication and neural network. Let the company continue to grow in a sustainable and healthy way. This article puts forward the importance of corporate strategic management under GPRS wireless communication. Strategic business management can improve the foresight and initiative of enterprises, overcome short-term behaviour, and provide a clear direction for the development of the enterprise. In the experimental data of this article, it can be seen from 2016 that the demand for talent management by enterprises is lower than that in 2019. By 2019, enterprises will have the demand is as high as 85.3%, so enterprise management development needs should be taken seriously. The error between the actual output of the network and the expected output is controlled within 5%, which shows that the established neural network has a good evaluation effect and can be used to evaluate the talents of business operators. This also shows that the established BP neural network can fully absorb the judgment experience of experts and the actual employment of enterprises. The results show that the evaluation results obtained according to the evaluation network model have certain guiding significance for the selection and assessment of employers and the self-evaluation of management talents.
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Tang, Yaojia, and Luna Wang. "An Empirical Study of Platform Enterprises’ Privacy Protection Behaviors Based on fsQCA." Security and Communication Networks 2022 (January 3, 2022): 1–12. http://dx.doi.org/10.1155/2022/9517769.
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Firms’ privacy protection strategies are affected by multiple factors. This study adopted a configurational perspective to examine how regulation policy environment, market structure, and the heterogeneity among enterprises affect their privacy protection policies. Using a fuzzy set qualitative comparative analysis of Chinese listed platform enterprises, we found that three configuration conditions were associated with enterprises formulating a privacy policy with a high level of protection and two configuration conditions were associated with enterprises formulating a privacy policy with a low level of protection. The results showed that privacy protection laws were a necessary condition to ensure that enterprises actively exercised privacy protection. Coordinated regulation systems based on the Personal Information Protection Law and industry standards are recommended as the best practice to safeguard privacy protection in China. As lack of competition can result in two polarized privacy protection strategies, regulatory policies should emphasize the balance between data protection and encouraging necessary data sharing. Furthermore, the conjunctive effect between market structure and business models affected privacy policy formulation, which suggests that the positive effects of users’ rational choices in a competitive market should be further reinforced.
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Huang, Zhecheng. "Intelligent Decision-Making Model of Enterprise Management Based on Random Forest Algorithm." Mobile Information Systems 2022 (May 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/6184106.
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With the sustained and rapid development of China’s economy, the business environment of enterprises is becoming more and more complicated. Coupled with the increasing international competitive pressure of enterprises, the management of enterprises needs more attention. The emergence of DSS provides an opportunity for enterprise management intelligent decision-making. Based on the in-depth study of RF algorithm, this paper proposes a new intelligent decision-making model for enterprise management, aiming at the shortcomings of traditional decision-making systems. In this paper, the decision-making process of the system for decision support is given. Through the quantification and evaluation of various data by subsystems, the best decision-making scheme with strong operability is provided for enterprises. And this model can effectively solve the problem of heterogeneity, duplication and clutter of data in traditional database, and avoid the loss of historical data. Through simulation, the accuracy of this system can reach 96%, which is about 17% higher than other systems. It has certain practicability and feasibility. It is hoped that the research in this paper will play an important role and service support for enterprise intelligent decision-making and further promote the development of intelligent enterprise management decision-making system in China.
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Hastuti, Theresia Dwi, Ridwan Sanjaya, and Freddy Koeswoyo. "The Readiness of Lasem Batik Small and Medium Enterprises to Join the Metaverse." Computers 12, no. 1 (December 26, 2022): 5. http://dx.doi.org/10.3390/computers12010005.
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Today’s business competitiveness necessitates the capacity of all company players, particularly small and medium enterprises (SMEs), to enter a broader market through information technology. However, the Lasem Batik SMEs have endured a great deal of turmoil during the COVID-19 pandemic. Marketing has been conducted through physical and internet channels, but the results have not been maximized. The purpose of this research was to consider the possibilities of Lasem Batik SMEs adopting metaverse technology as a marketing medium to enhance sales. The investigation was conducted on 40 Lasem Batik SMEs who met the requirements of using online media to sell their products, having a medium-sized firm, and displaying marketing that has reached the provincial level. The findings of this study are as follows: (1) The majority of participants stated that the metaverse is a virtual 3D space. This understanding is deepened by discussions about virtual 3D spaces that combine VR and AR, which today is often referred to as the metaverse. (2) Batik business owners hope that by using the metaverse, they will be able to obtain many benefits, especially related to market expansion. (3) Lasem Batik SMEs show great interest in expanding their marketing channels to a wider area; Lasem Batik entrepreneurs also accept the challenge of studying the metaverse with new knowledge and techniques they have never considered. (4) Overall, 75% of participants were ready to use the metaverse, and 25% still required guidance. (5) Local communities, universities, and large corporations provide great support for the use of the metaverse. (6) The commercial success of Lasem Batik SMEs is defined by product quality; ongoing online and offline advertising; originality and innovation; and the capacity to capitalize on possibilities, retain local wisdom, and preserve strong customer connections. The main conclusion is that the readiness of batik entrepreneurs to use the metaverse is highly dependent on the support of various parties. A strong desire to progress and develop one’s business is the main factor determining one’s intention to use the metaverse. As a result of the research, a prototype of a metaverse platform for Lasem Batik exhibitions has been developed. SMEs can use the room template provided by the platform and join other SMEs to hold a metaverse exhibition to attract global customers. These results can be connected to create a metaverse exhibition to attract global customers.
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Beckinsale, Martin. "E-Business Among Ethnic Minority Businesses." International Journal of E-Adoption 1, no. 4 (October 2009): 75–94. http://dx.doi.org/10.4018/jea.2009100104.
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A small but growing body of evidence (SBS, 2004; Beckinsale & Ram, 2006) has indicated that Ethnic Minority Businesses (EMBs) have not adopted Information Communication Technology (ICT) at comparable rates to their non-EMB counterparts predominantly Small and Medium Sized Enterprises (SMEs). With EMBs accounting for almost 10% of businesses in the UK the economic impact as ICT adoption continues to further develop across mainstream markets could be highly significant. Existing UK ICT policies have also failed to engage with EMBs until the NW ICT Adoption Pilot in 2004. The current, limited body of research is fragmented, provides limited understanding and coherence on reasons of low ICT adoption and lacks exemplars upon which policy considerations may be made. Firstly, the chapter will examine and review the existing body of literature. Secondly, EMB cases that have developed ICT to a degree where they are engaging in eBusiness activity are analysed and discussed. The findings provide a number of options and guidance for EMB owners. Finally, the recommendations point to the need for improved ICT awareness, better business support provision nationally and the importance of generation and education as key drivers.
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Janev, Valentina, and Sanja Vraneš. "Comparative Analysis of Commercial Knowledge Management Solutions and their Role in Enterprises." Journal of Information & Knowledge Management 04, no. 02 (June 2005): 71–81. http://dx.doi.org/10.1142/s0219649205001067.
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Knowledge technologies are a subject of permanent interest for software engineers at research organisations, as well as for market analysts in commercial organisations. In this paper, which aims to clarify the role of knowledge management solutions in an enterprise business, we survey the market of commercial knowledge management solutions and analyse their functionalities in domains such as document management, information retrieval, collaboration, decision support, e-learning, business automation and enterprise integration. The survey is based on a thorough study of web resources of knowledge management solution providers. Regarding the role of knowledge solutions in the business process, the present study will show that on an operational level they serve for better utilisation of the enterprise knowledge resources and, on a strategic level, they synthesise new knowledge needed for better management of customers, suppliers and partners. This paper gives an insight into the knowledge management market that can help strategic planners to easily begin a knowledge management initiative.
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Wang, Xiaozhi, and Jieqiong Huang. "Enterprise Decision-Making and Analysis Based on E-Commerce Data Mining." Wireless Communications and Mobile Computing 2022 (March 9, 2022): 1–11. http://dx.doi.org/10.1155/2022/9493775.
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Enterprises have established a number of business processing systems and business websites according to their own characteristics and business needs, such as e-commerce websites and shopping websites. Over time, a large number of sales transaction data and customer purchase information have been generated, but no useful information has been generated stored in the database. Therefore, the management and decision-making levels of enterprises try to get useful information from huge and complex data. With the development of network technology and database, data mining technology has emerged. Nowadays, data mining technology has become one of the most concerned technologies of e-commerce. It can select appropriate data mining methods according to the characteristics of commodities, carry out effective statistical analysis and decision support for data, predict and analyze future market trends, greatly improve the business intelligence analysis of e-commerce enterprises, and make enterprises have greater advantages in market competition. This paper explains some important methods related to data mining and designs a data mining system. One of the systems can help e-commerce decision-makers analyze and predict data. Through experiments, it is concluded that the average absolute percentage errors of prediction data are 8.6% and 5.3%, respectively, with small errors and high accuracy. Second, make better recommendations for users. After investigation and analysis, the highest satisfaction has increased by 25% after using the system.
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Zhang, Shizhuo. "Application of Computer-Aided Graphic Design in Enterprise Image." Security and Communication Networks 2022 (January 24, 2022): 1–7. http://dx.doi.org/10.1155/2022/6206434.
Full textAbstract:
In order to study the role of computer-aided graphic design on corporate image, improve the internal management efficiency and market management effect of enterprises, and improve the business process of corporate image design (visual identity, VI), according to the relationship between corporate image design investment and internal management, this paper studies and analyzes the factors that affect corporate market management, including employee exchange rate, unit labor value, market share, team ratio, and passive order rate. Finally, it was found that the amount of investment in VI related work was confidently and negatively correlated with the employee exchange rate.