Dataset Information

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.

ABSTRACT: The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. Through a questionnaire survey, the construction of the knowledge management model of construction-related enterprises and engineering cost consulting enterprises is discussed. First, through the analysis and discussion of ontology-based data mining (OBDM) algorithm and association analysis (Apriori) algorithm, a data mining algorithm (ML-AR algorithm) on account of ontology-based multilayer association and machine learning is proposed. The performance of the various algorithms is compared and analyzed. Second, based on the knowledge management level, analysis and statistics are conducted on the levels of knowledge acquisition, sharing, storage, and innovation. Finally, according to the foregoing, the knowledge management model based on engineering cost consulting enterprises is built and analyzed. The results show that the reliability coefficient of this questionnaire is above 0.8, and the average extracted value is above 0.7, verifying excellent reliability and validity. The efficiency of the ML-AR algorithm at both the number of transactions and the support level is better than the other two algorithms, which is expected to be applied to the enterprise knowledge management model. There is a positive correlation between each level of knowledge management; among them, the positive correlation between knowledge acquisition and knowledge sharing is the strongest. The enterprise knowledge management model has a positive impact on promoting organizational innovation capability and industrial development. The research work provides a direction for the development of enterprise knowledge management and the improvement of innovation ability.

SUBMITTER: Zhou Z

PROVIDER: S-EPMC7707476 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.

Zhou Zhigang Z Liu Yanyan Y Yu Hao H Ren Lihua L

PloS one 20201201 12

The aims are to explore the construction of the knowledge management model for engineering cost consulting enterprises, and to expand the application of data mining techniques and machine learning methods in constructing knowledge management model. Through a questionnaire survey, the construction of the knowledge management model of construction-related enterprises and engineering cost consulting enterprises is discussed. First, through the analysis and discussion of ontology-based data mining ( ...[more]

PMID: 33259475

Similar Datasets

Project description:In order to study the influence of different entrepreneurial psychological leadership styles on organizational learning ability and organizational performance and to provide theoretical basis for the improvement of organizational benefits of entrepreneurial enterprises in the future, 421 general managers, middle managers, and grassroots managers of 350 small- and medium-sized private enterprises in Beijing were surveyed by questionnaire in two forms: online and on-site. Then, a hypothesis model of the relationship between different entrepreneurial psychological leadership styles and organizational learning ability and organizational performance was constructed. The correlation between transformational, transactional, and laissez-faire psychological leadership styles and organizational performance and organizational learning ability was analyzed using multiple regression models. AMOS 7.0 software was used to simulate and verify the model. The results show that transformational psychological leadership style is positively correlated with organizational learning ability, financial performance, and growth performance; transactional psychological leadership style is positively correlated with organizational financial performance, growth performance, and organizational learning ability; there is no correlation between laissez-faire psychological leadership style and organizational financial performance and growth performance, but there is a significant positive correlation between laissez-faire psychological leadership style and organizational learning ability. The covariance between the error terms of the internal and external potential variables of the model is positive, and the factor load value of each potential variable and the observed variable is between 0.5 and 1, which shows that transformational and transactional psychological leadership styles have a more positive influence on organizational financial performance and learning ability than a laissez-faire psychological leadership style. The hypothesis model of the relationship between entrepreneurial psychological leadership styles and organizational learning ability and organizational performance conforms to the adaptation criteria and is feasible.

Project description:In order to analyze the relationship between entrepreneur psychological capital, creative innovation behavior, and enterprise performance based on the actual situation of Chinese enterprises and provide a theoretical basis for the application of entrepreneur psychological capital in enterprise innovation and performance development, in this study, 536 entrepreneurs from 517 enterprises in different fields in Anhui region were selected, and a questionnaire survey on the psychological capital of entrepreneurs, creative innovation behaviors, and corporate performance was conducted. A hypothesis model of the relationship between entrepreneur's psychological capital, creative innovation behavior, and enterprise performance was constructed. The correlation between entrepreneur's psychological capital, creative innovation behavior, and enterprise performance and the intermediation of creative innovation behavior were analyzed using multiple-regression model and structural equation model. The results show that there is a significant positive correlation between dimensions of self-efficacy (regression coefficient = 0.682, p = 0.000), toughness (regression coefficient = 0.526, p = 0.000), and enterprise performance; there is a significant positive correlation between the dimensions of optimism (regression coefficient = 0.471, p = 0.003), hope (regression coefficient = 0.590, p = 0.006), and enterprise performance; there is a significant positive correlation between entrepreneurs' technological innovation behavior (regression coefficient = 0.506, p = 0.000), business innovation behavior (regression coefficient = 0.562, p = 0.000), and enterprise performance; there is a significant positive correlation between entrepreneurial relationship acquisition behavior (regression coefficient = 0.632, p = 0.004) and enterprise performance. Taking entrepreneurs' creative innovation behavior as the intermediary variable, the authors conclude that the dimensions of entrepreneurs' self-efficacy, hope, optimism, toughness, and the standardized path coefficient of enterprise performance are significantly reduced; through the analysis of structural equation model, it is found that the fitting index of the model of entrepreneur's psychological capital, creative innovation behavior, and enterprise performance meets the fitting standard, which shows that both the psychological capital and the creative innovation behavior of entrepreneurs can promote the improvement of enterprise performance. Entrepreneur's creative innovation behavior plays an intermediary effect in the positive influence of entrepreneur's psychological capital on enterprise performance.

Dataset Information

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.

Publications

The influence of machine learning-based knowledge management model on enterprise organizational capability innovation and industrial development.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets