Showing posts with label structural equation modeling. Show all posts
Showing posts with label structural equation modeling. Show all posts

Thursday, 20 February 2025

Behavioral Intention to Adopt Renewable Energy Technologies: Insights from Taiwan Using TRA, TAM and DOI Models | Chapter 2 | Science and Technology: Developments and Applications Vol. 2

Aims: The globe warming erodes constantly, the huge harm caused by the greenhouse effect has made governments, businesses and people around the world concerned about environmental sustainability. In order to achieve the goal of "Net Zero Emissions" and reduce the use of fossil fuel, it is importance to adopt renewable energy technology (RET). How to make good use of RET is an urgent issue. The purpose of this research is to analyze the key factors that affect users’ intentions of adopting renewable energy technologies.

Study Design:  The research was based on TRA, TAM and Roger’s Diffusion of Innovation. It helps us to figure out acceptance model and influencing factors.

Place and Duration of Study: This study interviews 273 persons in Kaohsiung and Pingtung area of Taiwan to comprehend their attitude and behavior about RET.

Methodology: This study adopted questionnaire interview method, and adults aged 18-55 were interviewed. There were 172 males accounted for 63%, and 101 females accounted for 37% in the sample. The measurement model is estimated using confirmatory factor analysis (CFA) to test whether the constructs possess sufficient validation and reliability. The structural model is used to investigate the strength and direction of the relationship between the theoretical constructs.

Results: The result showed that in the behavior pattern of accepting the application of the RET, the person who is perceived usefulness to RET has the most significant influence on behavioral intention to use (β=0.276). Next importance factor will be the compatibility of system (β= 0.201), and the last factor is the acceptance of innovation (β= 0.106).

Conclusion: These results reinforce some of the past findings of technology diffusion, renewable energy implementation, and partner relationship literatures. Therefore, to ensure effective renewable energy technology diffusion, technology promoter and policy maker need to ensure not only that appropriate technology is considered and adopted, but also that the person’s attitude and new environmental changes.

 

Author (s) Details

 

Hsiang-Yung Feng
National United University, No.2, Lien-Da Rd., Miaoli, 36063, Taiwan, R.O.C.

 

Please see the book here:- https://doi.org/10.9734/bpi/stda/v2/3861

Monday, 10 February 2025

Financial Vulnerability, Customer Engagement and Satisfaction in South African Banks: A Structural Equation Model | Chapter 4 | Economics and Entrepreneurship: The Proceedings of the 10th International Conference on Business and Management Dynamics (ICBMD), Edition 1

This study investigates the impact of financial vulnerability on customer engagement and satisfaction within the South African banking sector under a persistent inflation and prolonged contractionary monetary policy environment.

The relationships examined were hypothesized based on the SABI model, which underpins the functional analysis of interactions provided by the interdependence theory. Utilizing a structural equation modeling approach, data were collected from 314 bank customers through the questionnaire method. The analysis reveals a significant and positive relationship between financial vulnerability and customer engagement (p < 0.05), indicating that customers with lower financial resilience engage more with their banks. Furthermore, a direct and significant link (p < 0.05) between financial vulnerability and customer satisfaction suggests that current financial hardships do not diminish overall satisfaction levels. However, a positive relationship between customer engagement and customer satisfaction is not statistically significant, suggesting that customer interactions were not a determining factor of their satisfaction level. These findings imply that monetary policymakers and banks should adapt their strategies to support financially vulnerable customers, promote customer engagement, and thus enhance bank-customer long-term relationships. However, the study is limited by the demographic scope of the sample, necessitating further research to validate these insights across diverse customer segments.

 

Author (s) Details

 

Sophie Kasse-Kengne
Cape Peninsula University of Technology, South Africa.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49238-53-4/CH4