Security Regulation and Enterprise Innovation in Communication Industry

Gao, Kai; Ma, Lijun

doi:10.1155/2021/3307493

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…For example, companies can rely on the company's procurement channels, distribution systems, and terminal network advantages and use digital technology to eliminate information between upstream and downstream enterprises in the supply chain. Asymmetric tangerine is innovating the supply chain service model and improving the circulation efficiency of the supply chain; on the other hand, it extensively collects and stores consumer group information and conducts in-depth analysis to form 8 Scientific Programming customer portraits and implement precise marketing, thereby improving labor production efficiency, reducing operating costs, management costs, and investment costs, and improving enterprise performance and sustainable competitiveness, based on long-term development [22][23][24][25][26][27][28]. Finally, strengthen government governance, and distribute government subsidies in a reasonable and targeted manner.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Big Data Model of Digital Employees of High-Tech Enterprises under the Background of Digital Transformation

2022

Scientific Programming

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This paper firstly conducts a theoretical analysis on the digital transformation of enterprises. Theories such as Marxism and new institutional economics related to the digital transformation of enterprises are sorted out. Secondly, it conducts an empirical analysis on the digital transformation of high-tech enterprises. This paper summarizes the three major transformation paths of the existing production service digitization, marketing model digitization, and industrial digitization. Based on the data analysis of the questionnaire, this paper summarizes the difficulties of digital transformation of high-tech enterprises, mainly due to the lack of transformation ability, resulting in “cannot transfer”; the lack of self-development conditions and digital transformation, resulting in “will not transfer”; digital transformation lacks full guarantee, resulting in “do not dare to turn.” And based on the analytic hierarchy process, the influencing factors of the digital transformation of high-tech enterprises are analyzed, and the relative importance of each factor is obtained.

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Section: Discussion Of Resultsmentioning

confidence: 99%

Big Data Model of Digital Employees of High-Tech Enterprises under the Background of Digital Transformation

2022

Scientific Programming

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“…Limited by the selection of parameters and the development level of emergency management, there are still the following shortcomings: (1) Tere is a lack of study of the overall strategy evolution process of game participants by analyzing the single decision process of game participants because it is focused on the infuence of a single factor on the subject's decision choice. However, in the process of repeated games, enterprises, third-party agencies, and governments will continuously adjust their own strategies according to the changes in each other's strategies and fnally reach dynamic equilibrium [51]. (2) Although the existing research has introduced more parameters into the model, the parameters introduced in the model are not comprehensive, and there are still defciencies in the current environment.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Construction of an Enterprise Emergency Management System under Government Supervision: The View of Evolutionary Game Theory

Wang

Zhou

Bai

et al. 2022

Mathematical Problems in Engineering

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The establishment of an emergency management system has obvious complexity, and the establishment of an enterprise’s emergency management system is influenced by external factors such as assessment agencies and regulatory departments as well as by the internal influence of various factors within the enterprise itself, such as profits and personnel quality. In order to study the impact of different factors on the construction of emergency management systems of enterprises under the current regulatory environment and under the existing reward-penalty mechanism, this study introduces factors such as rent-seeking behavior and economic level to build an evolutionary game model composed of enterprises, third-party safety assessment agencies, and government regulators. Based on the official statistics published in China and the field evidence of enterprises, third-party agencies, and emergency management departments in Nanjing, Jiangsu Province, China. The evolution path of the game system and the influence of the reward-penalty mechanism, rent-seeking behavior, and economic level on the strategy evolution process of the game model were analyzed by numerical simulation. The results show that there is a mechanism of mutual promotion in the strategy evolution of the game subjects, and the strategy choice of each subject shows the following characteristics: (1) reasonable subsidies and penalties play a positive role in promoting the construction of emergency management systems by enterprises. (2) Increasing the rent-seeking costs of enterprises and the reputational impact of regulators can promote the positive evolution of enterprises’ and regulators’ strategies. (3) Reducing the cost of the establishment can help enterprises establish emergency management systems, but it will reduce the probability of strict supervision by the regulators. Therefore, the government should develop a reasonable reward-penalty mechanism to replace fixed payments to enterprises and third-party agencies with tax reductions. In addition, local governments should establish an information and consultation mechanism and make the system construction and evaluation process public.

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Government Low-Carbon Policies Optimization for Smart Transportation Enterprises

Gao

Guo

Liu

et al. 2022

Discrete Dynamics in Nature and Society

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As an important part of energy saving and carbon reduction, the low-carbon development of the transportation industry is imperative. It is the responsibility of smart transportation enterprises to closely combine their own digital technology with the governments’ policies to achieve green innovation. In this study, we conducted an evolutionary game model of the interaction between the governments and smart transportation enterprises, which depended on innovation subsidies and punitive taxes. Besides, we derived the evolutionarily stable strategy of the governments and enterprises and used a simulation to analyze the impact of various policy tools on green innovation strategy. The results showed that the behavior of the governments relies on the benefits of supervision and the costs of supporting green technology innovation. The enterprises’ behavior depends on the benefits of green innovation and the loss of no green innovation. Moreover, different policy tools provided by the governments can accelerate the implementation of enterprises’ green innovation.

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Security Regulation and Enterprise Innovation in Communication Industry

Cited by 4 publications

References 26 publications

Big Data Model of Digital Employees of High-Tech Enterprises under the Background of Digital Transformation

Big Data Model of Digital Employees of High-Tech Enterprises under the Background of Digital Transformation

Analysis of the Construction of an Enterprise Emergency Management System under Government Supervision: The View of Evolutionary Game Theory

Government Low-Carbon Policies Optimization for Smart Transportation Enterprises

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