Government Background Customers and Private Enterprise Innovation from the Perspective of Supply Chain Risk Transmission

Chen, Zhanguang; Qiaowan, Wang; Dou, Chao; Liang, Tian

doi:10.3390/su12083193

Cited by 6 publications

(3 citation statements)

References 50 publications

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“…About the literacy scientific, forms of innovation have been presented in some perspective, for example, the efficiency of the creep and shadow innovation: influence the ambidextrous it governance in the public sector are analysed [14], [15] government Intervention, financial support, and the efficiency of independent innovation enterprise, [16] the Merger of the degree of government support, financial support and innovation and its Impact In Economic Development. The public sector in the perspective of the bidding chain from the risk of transmission of innovation [17], and Stages and determinants of the development of e-government [18]. The results of the Identification Form innovation Area in the Province of Papua in 2021 can be seen in Table 2 below.…”

Section: Resultsmentioning

confidence: 99%

Strategy for Developing Institutional Service Models for Regional Innovation in Indonesia

Prasetyo¹,

Wahyudianto²,

Hartopo³

2023

Proceedings of the 3rd Borobudur International Symposium on Humanities and Social Science 2021 (BIS-HSS 2021)

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One of the efforts to accelerate regional development can be done through regional innovation. These efforts in Indonesia have been implemented in recent years, but in the Province of Papua, there is still no real form of regional innovation that can be utilized. Therefore, the effort it takes is outlined in the monitoring and evaluation model of regional innovation in the Province of Papua. The purpose of this study is to determine the readiness of the service agencies in the implementation of regional innovation and to analyze the model service agency through the monitoring and evaluation of regional innovation in the Province of Papua. The parameters of the monitoring and evaluation consist of the annual work plan; monitoring and supervision framework; monitoring and surveillance tool as well as the system of collection of data; analysis, dissemination, and Use of Monitoring and data; and contributing to learning. Exploration methods were used in the research to discover the problem of the readiness of the service institutional innovation regional and reinforce the concept of regional innovation in the scope of the monitoring and evaluation model qualitatively. The study locations are in the Province of Papua, with a study period of February until August 2021. Secondary Data derived from the regional location of the study in the form of a Data Work Plan of the apparatus of the regional innovation proposals regional, and regional readiness in the regional innovation. Institutional value is very high and evaluating internal and external. This evaluation is carried out by way of participating with the involvement of the recipient. The findings of the evaluation are discussed internally and are divided in proper format with the testator, and other stakeholders. Decisions and adjustments always follow from the evaluation. The institution has been able to draw lessons from the evaluation. The monitoring and evaluation model in this study can be an alternative reference for the implementation of the regional innovation with the limitation on the annual work plan supported by the supervision of regular and supervision of the use of surveillance and the tools and data collection systems are analyzed that can be used for learning the constitution.

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Section: Resultsmentioning

confidence: 99%

Strategy for Developing Institutional Service Models for Regional Innovation in Indonesia

Prasetyo¹,

Wahyudianto²,

Hartopo³

2023

Proceedings of the 3rd Borobudur International Symposium on Humanities and Social Science 2021 (BIS-HSS 2021)

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“…It is also necessary to establish an integrated network for collecting and utilizing all possible data. Although some pioneering studies have explored whether the awareness level of SCRM is associated with its development and corporate performance in the specific industry or country [31][32][33][34], to our best knowledge there have been no studies investigating the impact of SCRM in the shipbuilding and marine equipment market. Thus, the findings in this study offer a valuable implication for future research on developing SCRM in the shipbuilding and marine equipment industry.…”

Section: Concept Of Scrm and Empirical Evidencementioning

confidence: 99%

SCRM Awareness in the Shipbuilding and Marine Equipment Market: Empirical Evidence from South Korea, China, and Singapore

Jeong¹,

Cha

Yulseong

2020

Sustainability

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This study analyzes the relationships between the awareness levels of supply chain risk management (SCRM) importance, the level of development, and their influence on business performance in the shipbuilding and marine equipment industry. In addition, this study highlights the differences in awareness levels according to country-specific characteristics by comparing South Korea, China, and Singapore, leading suppliers of shipbuilding and marine equipment. Based on a questionnaire survey of 165 respondents, this study conducted a factor analysis and ANOVA. The results indicate that the surveyed companies highly value the importance of risk management overall, with the information and forecast risk factor being highest rated. However, the high levels of awareness of importance does not lead to satisfactory levels of SCRM development. In addition, the comparative analysis between countries indicates statistically significant differences in the awareness of importance and the development level. Finally, the results show that awareness of environmental risk and destructive risk factors, which are vital for long-term survival and sustained competitive advantages, are low. The findings in this study offers a useful baseline for future studies on developing SCRM in the shipbuilding and marine equipment market and establishing relevant policies and systems.

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“…The status of financial management in the process of enterprise operation and management is selfevident. Scientific and practical financial management is an essential guarantee for the enterprise to obtain stable and sustainable development [4]. Financial risk, if not controlled in a reliable range, will put the enterprise in a financial crisis or affect the survival of the enterprise [5].…”

Section: Introductionmentioning

confidence: 99%

Construction and validation of a financial risk prediction model for e-commerce enterprises oriented to financial sharing

Wang

2024

Applied Mathematics and Nonlinear Sciences

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Relying on advanced technology, the financial shared management model realizes a breakthrough for the enhancement of enterprise financial management capability, and provides effective support for enterprise decision makers while mining financial risks. In this paper, the support vector machine algorithm (SVM) is used to construct a financial risk prediction model for e-commerce enterprises, and the radial basis kernel function (RBF) is selected among various kernel functions to enhance the discriminative ability of SVM. At the same time, the particle swarm algorithm (PSO) is introduced to optimize parameter γ and penalty factor C of the RBF kernel function, and the PSO-SVM fusion model is constructed, so as to improve the prediction accuracy of the e-commerce enterprise financial risk prediction model. After the experimental analysis of this paper on the various capabilities of enterprise financial management, it is found that the operating cash flow ratio of the e-commerce enterprise is less than 40% in 2017-2021, and reaches a minimum of 3% in 2020, which indicates that the Z e-commerce enterprise has insufficient ability to raise debt to operate, which may cause problems such as a decrease in the rate of return on assets. In addition, the cash flow of the e-commerce enterprise is highly variable, and the cash outflow from operating activities is significantly higher than the cash inflow in 2020, resulting in a negative net inflow of −111,451,575,000 yuan. It indicates that the Z e-commerce enterprise has a low degree of control over cash flow, and there is a financial risk of a sudden break in the capital chain. Therefore, the risk prediction model constructed in this paper can uncover potential hidden financial dangers and risks by analyzing the financial data of e-commerce enterprises.

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Government Background Customers and Private Enterprise Innovation from the Perspective of Supply Chain Risk Transmission

Cited by 6 publications

References 50 publications

Strategy for Developing Institutional Service Models for Regional Innovation in Indonesia

Strategy for Developing Institutional Service Models for Regional Innovation in Indonesia

SCRM Awareness in the Shipbuilding and Marine Equipment Market: Empirical Evidence from South Korea, China, and Singapore

Construction and validation of a financial risk prediction model for e-commerce enterprises oriented to financial sharing

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