A Structural Equation Model-Based Study of the Effect of Perceived Risk of Performance on the Consumption Behaviour of Soccer Spectators

Brand competitiveness of agricultural products has become an important source of agricultural production development. This paper proposes the source and generation mechanism of brand competitiveness through the analysis of brand equity differences, combined with enterprise and consumer levels. Based on the composition of brand competitiveness, brand cognition, quality perception, association and loyalty are selected as the influencing dimensions, and the initial hypothesis of competitiveness is initially constituted by applying relevant factors. Structural equation modeling was used to complete the measurement of the research data so that the model was revised, empirical research was conducted, and strategies for competitiveness enhancement were proposed through the discussion of the influence path coefficients. Brand awareness and brand quality perception have a direct positive effect on the competitiveness of regional brands of agricultural products, and the direct influence path coefficients of brand competitiveness are 0.294 and 0.195, respectively. The path coefficients of the influence of the regional natural environment on brand awareness reach 1.169, with an S.E. value of 0.725 and a C.R. value of 11.063, which are significant. The exploration of digitization shows a clear path for improving the competitiveness of agricultural product brands.

Section: Structural Equation Modelingmentioning

confidence: 99%

Exploration of Strategies for Improving Brand Competitiveness of Agricultural Products in the Context of Digitization

2023

“…Structural equation modeling still utilizes a system of simultaneous equations for solving problems, but it does not have very strict assumptions constraints. In contrast to traditional statistical analysis, structural equation modeling allows for measurement error in both independent and dependent variables [22][23]. Structural equation modeling has advantages over methods like multiple regression, path analysis, systems of simultaneous equations in econometrics, and factor analysis.…”

Section: Modelingmentioning

confidence: 99%

Research on Corporate Social Work Intervention through Integrated Media in the Age of Big Data

Han,

Ren

2023

In this paper, the structural equation model is constructed, the explicit and implicit structural relationships of the structural equation model are investigated, and the differences between the two structural relationships are compared. Then, the covariance array of the variables is obtained through the samples, and then the parameters of the established structural equation model are estimated from the sample data, and the fit of the model to the data is judged from the structural equation model as a whole. Then, the media perception and attitude situation of corporate employees towards media were analyzed, and the impact of melting media on corporate social work was analyzed based on the structural equation model. The path coefficients of the influence of melting media on the survivability, growth and regeneration of social work are 0.09, 0.186 and 0.081, respectively, with p<0.005, which indicates that melting media has a positive influence on the effect of corporate social work. The research in this paper provides a tool that can be utilized for the development and improvement of corporate social work and provides ideas that can be used for the integration and development of corporate social work and integrated media.

“… is an 1 morder vector of m observations of the endogenous latent variable, and Y is a 1 p  -order vector of p observations of the endogenous latent  variable. y  denotes the coefficients of the linking Y variables to the  variables, which is a mp  th-order matrix, and  is a 1 p  thorder vector consisting of the p measurement errors of the Y [31].…”

Section: Basic Form Of Structural Equation Modelingmentioning

confidence: 99%

The Rationale of Physical Education and Aesthetics in the Context of Big Data and the Value and Significance of its Implementation in Colleges and Universities

Chen,

Liu,

Chen

et al. 2023

This paper first takes the deep learning theory as the basis of the thesis of sports and aesthetic education, constructs the flipped classroom teaching model of sports and aesthetic education based on the theory, and introduces the Bayesian estimation theory and the structural equation model to apply it to sports and aesthetic education. Secondly, the research object and method are selected for the flipped classroom teaching model of physical education and aesthetic education, and the teaching process of the flipped classroom experiment and the assumptions related to students’ learning satisfaction are given. Finally, the application value of physical education and aesthetics in colleges and universities is analyzed through the convergence of path coefficients in Bayesian structural equation modeling and hypothesis testing. When the number of iterations reaches 100*103 times, the H6-H11 path coefficient convergence value interval is [-22.5, 14.2]. The convergence interval fluctuates a lot and shows a more unstable trend than the H1-H5 path coefficient. Students learning satisfaction will have a direct effect on their aesthetic ability and improve their aesthetic awareness, and the path coefficients are 0.629 and 0.524, respectively. Deep learning theory based on sports and aesthetics in colleges and universities under the background of big data can improve students’ learning satisfaction and then promote the enhancement of students’ aesthetic ability and aesthetic awareness.