scholarly journals Pathways to Implementation: Evidence on How Participation in Environmental Governance Impacts on Environmental Outcomes

2019 ◽  
Vol 30 (3) ◽  
pp. 383-399 ◽  
Author(s):  
Nicolas W Jager ◽  
Jens Newig ◽  
Edward Challies ◽  
Elisa Kochskämper
Keyword(s):  
Decision Making ◽  
Latent Variables ◽  
Structural Equation ◽  
Environmental Governance ◽  
Social Outcomes ◽  
Equation Modeling ◽  
Environmental Standard ◽  
Stakeholder Perspectives ◽  
Decision Making Processes ◽  
Modes Of Governance

Abstract There is much enthusiasm among scholars and public administrators for participatory and collaborative modes of governance as a means to tackle contemporary environmental problems. Participatory and collaborative approaches are expected to both enhance the environmental standard of the outputs of decision-making processes and improve the implementation of these outputs. In this article, we draw on a database of 307 coded published cases of public environmental decision-making to identify key pathways via which participation fosters effective environmental governance. We develop a conceptual model of the hypothesized relationship between participation, environmental outputs, and implementation, mediated by intermediate (social) outcomes such as social learning or trust building. Testing these assumptions through structural equation modeling and exploratory factor analysis, we find a generally positive effect of participation on the environmental standard of governance outputs, in particular where communication intensity is high and where participants are delegated decision-making power. Moreover, we identify two latent variables—convergence of stakeholder perspectives and stakeholder capacity building—to mediate this relationship. Our findings point to a need for treating complex and multifaceted phenomena such as participation in a nuanced manner, and to pay attention to how particular mechanisms work to foster a range of social outcomes and to secure more environmentally effective outputs and their implementation.

scholarly journals Understanding Key Antecedents of Consumer Loyalty toward Sharing-Economy Platforms: The Case of Airbnb

2019 ◽  
Vol 11 (19) ◽  
pp. 5195 ◽  
Author(s):  
Kim
Keyword(s):  
Decision Making ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Sustainable Consumption ◽  
Sharing Economy ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Loyalty ◽  
Collaborative Consumption ◽  
Decision Making Processes

Amidst collaborative consumption and developments in information and communication technology, the sharing economy has attracted worldwide attention, being considered sustainable consumption as it shares time, resources, and materials with others. However, because sharing-economy platforms offer nearly homogeneous assets to traditional business firms, enhancing consumer loyalty presents a huge challenge. This study provides a theoretical view for understanding the mechanisms behind user loyalty in the sharing economy. It identifies consumer satisfaction and trust in Airbnb as the key antecedents of consumer loyalty. Moreover, this study investigates the different effects of economic, hedonic, and symbolic benefits on consumers’ decision-making processes. A structural equation modeling method was used to check the research hypotheses based on a sample of 317 Airbnb consumers in South Korea. The analysis results reveal that in the case of Airbnb, consumer loyalty is jointly shaped by consumer satisfaction and trust, with entertainment and recognition significantly influencing both consumer satisfaction and trust. Moreover, money savings and exploration are not significantly related to consumers’ decision-making processes. Although social benefits significantly influence trust in Airbnb, these have no significant effect on consumer satisfaction. The findings provide theoretical and practical implications and future research direction.

scholarly journals Good School Governance: An Approach to Principal’s Decision-Making Quality in Indonesian Vocational School

2021 ◽  
Vol 6 (4) ◽  
pp. 796-831
Author(s):  
Didi Supriadi ◽  
◽  
Husaini Usman ◽  
Abdul Jabar ◽  
Ima Widyastuti
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Latent Variables ◽  
Structural Equation ◽  
School Governance ◽  
Vocational School ◽  
Equation Modeling ◽  
Vice Principals ◽  
Delegation Of Authority ◽  
Good School

The purpose of this research is to examine the model of good school governance and to establish the correlation between good school governance and the principal’s decision making in Indonesian vocational school contexts. The samples of the present quantitative descriptive study are the vocational school principals, vice-principals, and teachers by considering the representation of all provinces in Indonesia. The data were gathered from a structured questionnaire survey of 838 respondents. The factor analysis was applied to bring out the latent variables representing the attributes, and later, the causality between these variables was established using structural equation modeling (SEM). The result of confirmatory factor analysis shown that good school governance was constructed by six principles, namely; transparency, accountability, responsibility, autonomy, fairness, and participation. Supported by empirical evidence, good school governance has have impacted positively on the quality of the principal’s decision making. The research has affirmed that good school governance facilitates the participation of teachers and educational staff in the decision-making process. Moreover, good school governance improves a decision-making quality through the empowerment of teachers, the delegation of authority, and encouragement of shared decision-making.

scholarly journals The Effect of Smog-Related Factors on Korean Domestic Tourists’ Decision-Making Process

2020 ◽  
Vol 17 (10) ◽  
pp. 3706
Author(s):  
JunHui Wang ◽  
JooHyang Kim ◽  
JiHyo Moon ◽  
HakJun Song
Keyword(s):  
Decision Making ◽  
Latent Variables ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Protection Motivation ◽  
Extended Model ◽  
Related Factors ◽  
Goal Directed Behavior

The present study aims to explore Korean domestic tourists’ decision-making processes by utilizing an extended model of goal-directed behavior (EMGB) as a theoretical framework. Integrating government policy (PLY) and protection motivation for smog (PMS) with the original model of goal-directed behavior (MGB) makes it easier to better understand the formation process of tourists’ behavioral intentions for domestic travel. Structural equation modeling (SEM) is employed to identify the structural relationships among the latent variables. The results of the EMGB indicated that desire had the strongest effect on the behavioral intention of tourists to travel domestically; positive anticipated emotion is the main source of desire, followed by negative anticipated emotion. Government PLY on smog has a significant, positive and indirect effect on behavioral intentions of domestic or potential tourists through the protection motive theory. We found that desires are verified as a determinant of the behavioral intention’s formation, more significant than that of perceived behavioral control, frequency of past behavior and protection motivation. In addition, this study offers theoretical and practical suggestions.

Factors Related to Data-Based Decision-Making: Examining Experience, Professional Development, and the Mediating Effect of Confidence on Teacher Graph Literacy

2020 ◽  
pp. 002221942097218
Author(s):  
Eric L. Oslund ◽  
Amy M. Elleman ◽  
Kelli Wallace
Keyword(s):  
Professional Development ◽  
Decision Making ◽  
Latent Variables ◽  
Structural Equation ◽  
Mediating Effect ◽  
Student Response ◽  
Equation Modeling ◽  
Training Experience ◽  
The Impact ◽  
Data Based Decision Making

In tiered instructional systems (Response to Intervention [RTI]/Multitier System of Supports [MTSS]) that rely on ongoing assessment of students at risk of experiencing academic difficulties, the ability to make informed decisions using student data is critical for student learning. Prior research has demonstrated that, on average, teachers have difficulty analyzing and interpreting student progress-monitoring (PM) data presented graphically (i.e., graph literacy). This study examines the impact that teacher training, experience, and confidence have on teacher graph literacy, using structural equation modeling. Data were gathered from a nationally representative sample of 309 teachers and included latent variables related to their experience (e.g., years teaching, years working with RTI), training (e.g., hours of data-based decision-making [DBDM] professional development), and confidence (e.g., confidence in interpreting data, confidence in determining student response) as well as data-based decision-making skills on a graph literacy assessment. Findings indicate that latent experience and confidence factors predicted graph literacy but training did not. Furthermore, training increased teacher confidence but experience did not. Finally, confidence did not mediate the effect of experience or training on graph literacy.

scholarly journals Compensatory Health Beliefs Relate to Decision-Making Coherence and Health Patterns

2019 ◽  
Vol 119 (2) ◽  
pp. 79
Author(s):  
Bethany D. Merillat ◽  
Claudia González-Vallejo
Keyword(s):  
Decision Making ◽  
Risk Perception ◽  
Health Beliefs ◽  
Latent Variables ◽  
Structural Equation ◽  
Decision Rules ◽  
Self Control ◽  
Equation Modeling ◽  
Health Consequences ◽  
Cognitive Decision

This study tested hypotheses that link cognitive decision-making coherence and health behavioral patterns to the endorsement of compensatory health beliefs (CHBs). Structural equation modeling was used to investigate relationships among the latent variables Compensatory Health Beliefs and 2 other constructs: Decision-Making Coherence (measured by resistance to framing, under/overconfidence, applying decision rules, consistency in risk perception, and resistance to sunk cost bias), and Risk Tendencies with Health Consequences (measured by self-control, the Health Behavior Checklist, and risk perception scales). An online, adult, United States sample—recruited through Amazon.com®’s Mechanical Turk (MTurk)—was assessed. The model described key relationships for the MTurk sample. Low levels of Decision-Making Coherence and Risk Tendencies with Health Consequences were associated with increased endorsement of Compensatory Health Beliefs. Results can help clarify the relationship between health-related cognitions and actions, and impact the design of interventions that rely on the use of the CHB scale.

A Structural Model of Image-Based and Utilitarian Decision-Making Processes for Participant Sport Consumption

2002 ◽  
Vol 16 (3) ◽  
pp. 173-189 ◽  
Author(s):  
Joon-Ho Hang
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Process Model ◽  
Structural Model ◽  
Equation Modeling ◽  
Ideal Self ◽  
Exercise Participation ◽  
Sport Consumption ◽  
Decision Making Processes ◽  
Participant Sport

This study develops a decision-making process model for participant sport consumption that integrates self-participant image congruency (SIC), attitude, and intentions. SIC is the degree of congruency between one's self-concept and her/his participant's stereotypical image in a given context of sport or exercise involvement. Attitudes toward participation refer to an overall utilitarian evaluation of the behavior whereas intentions reflect decisions (Fishbein, 1980). A structural model is developed that incorporates SIC (as image-based evaluations) and attitudes (as utilitarian evaluations) as antecedents of intentions (as decisions) using LISREL8. Structural equation modeling analyses revealed that (a) both SIC and attitudes influence one's decision to initiate sport or exercise participation in the consumption context but attitudes have greater impact than SIC, and (b) both actual and ideal self-concepts are relevant in image-based decision-making processes.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

scholarly journals Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 657
Author(s):  
Rezzy Eko Caraka ◽  
Maengseok Noh ◽  
Rung-Ching Chen ◽  
Youngjo Lee ◽  
Prana Ugiana Gio ◽  
...  
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Communicable Disease ◽  
Well Being ◽  
Equation Modeling ◽  
Human Beings ◽  
The Sustainable Development ◽  
Healthcare Facilities ◽  
Hierarchical Likelihood

Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%.

scholarly journals A Study on Supply–Demand Satisfaction of Community-Based Senior Care Combined with the Psychological Perception of the Elderly

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 643
Author(s):  
Jiangang Shi ◽  
Wenwen Hua ◽  
Daizhong Tang ◽  
Ke Xu ◽  
Quanwei Xu
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Care Service ◽  
Elderly Care ◽  
The Elderly ◽  
Living Environment ◽  
Equation Modeling ◽  
Strategic Decisions ◽  
Community Based ◽  
The Government

Based on Maslow’s hierarchy of needs theory and customer satisfaction theory, we constructed a satisfaction model for supply–demand satisfaction for community-based senior care (SSCSC) combined with the psychological perspective of the elderly, and four dimensions of basic living needs (BLNs), living environment (LE), personal traits (PTs), and livability for the aged (LA) were selected to construct the model. The data were obtained from 296 questionnaires from seniors over 50 years old (or completed by relatives on their behalf, according to their actual situation). Twenty-two observed variables were selected for the five latent variables, and their interactions were explored using structural equation modeling. The results showed that LA was the most significant factor influencing SSCSC, and it was followed by BLNs and LE. PTs did not show a direct effect on LA, but they could have an indirect effect on SSCSC through influencing BLNs and LE. Based on the current state of community aging satisfaction, we propose to establish a community elderly care service system based on the basic needs of the elderly population, providing differentiated and refined elderly care services and improving the level of aging-friendly communities. This study provides references for the government to formulate relevant policies and other supply entities to make strategic decisions and has important implications for further enhancing community elderly services to become an important part of the social security system for the elderly.

scholarly journals A referral aid for smoking cessation interventions in primary care: study protocol for a randomized controlled trial

2021 ◽  
Vol 22 ◽  
Author(s):  
Daniëlle N. Zijlstra ◽  
Jean W.M. Muris ◽  
Catherine Bolman ◽  
J. Mathis Elling ◽  
Vera E.R.A. Knapen ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Making ◽  
Smoking Cessation ◽  
Cost Effectiveness ◽  
Structural Equation ◽  
Controlled Trial ◽  
Linear Regression Analysis ◽  
Informed Decision ◽  
Equation Modeling ◽  
Informed Decision Making

Abstract Background: To expedite the use of evidence-based smoking cessation interventions (EBSCIs) in primary care and to thereby increase the number of successful quit attempts, a referral aid was developed. This aid aims to optimize the referral to and use of EBSCIs in primary care and to increase adherence to Dutch guidelines for smoking cessation. Methods: Practice nurses (PNs) will be randomly allocated to an experimental condition or control condition, and will then recruit smoking patients who show a willingness to quit smoking within six months. PNs allocated to the experimental condition will provide smoking cessation guidance in accordance with the referral aid. Patients from both conditions will receive questionnaires at baseline and after six months. Cessation effectiveness will be tested via multilevel logistic regression analyses. Multiple imputations as well as intention to treat analysis will be performed. Intervention appreciation and level of informed decision-making will be compared using analysis of (co)variance. Predictors for appreciation and informed decision-making will be assessed using multiple linear regression analysis and/or structural equation modeling. Finally, a cost-effectiveness study will be conducted. Discussion: This paper describes the study design for the development and evaluation of an information and decision tool to support PNs in their guidance of smoking patients and their referral to EBSCIs. The study aims to provide insight into the (cost) effectiveness of an intervention aimed at expediting the use of EBSCIs in primary care.

Sign in / Sign up

Export Citation Format

Share Document