Agent-based socio-hydrological modeling for restoration of Urmia Lake: Application of theory of planned behavior

Pouladi, Parsa; Afshar, Abbas; Afshar, M. H.; Molajou, Amir; Farahmand, Hamid

doi:10.1016/j.jhydrol.2019.06.080

Cited by 72 publications

(57 citation statements)

References 50 publications

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“…The factor loading of the items tested were greater than 0.5 and suitable for use in the analysis. In terms of the measurement model, Table 2 depicts the outcome of [18][19][20] analysis and establishes that the discriminant is reached. As such it can be concluded that the main construct measures different aspects.…”

Section: Variablesmentioning

confidence: 99%

Adoption of technology on E-learning effectiveness

et al. 2020

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The incorporation of E-learning in both private and public tertiary education can help expedite the learning process. The utilization of fast-paced technology with E-learning also allows for a more flexible and convenient learning process. E-learning platforms can be accessed anywhere as long as there is an internet connection, including at home, the workplace, restaurants or while travelling. This allows for the benefit of distance learning. As such, the current study aims to examine the factor effectiveness of E-learning based on three variables, namely technology, instructors’ characteristics and students’ characteristics and their impact on distance learning. The education system has greatly evolved from the use of apparatus such as chalk and blackboards to the modern use of projectors to conduct lessons. In the current age, E-learning will have an effect on both instructors and teaching technology, aside from the students themselves. As an example, students are expected to know how to utilize these systems in their lessons, instructors must receive training in E-learning systems management and in terms of technology, the E-learning systems must be updated and operated using the most recent upgrades. E-learning is also cost-efficient, less time consuming and reduces the burden on both students and educators.

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Section: Variablesmentioning

confidence: 99%

Adoption of technology on E-learning effectiveness

et al. 2020

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“…Attitude is a reaction or response that is still closed from someone to a stimulus or object [24]. Attitudes clearly show the connotation of the suitability of reactions to the certain stimulus, which in everyday life are emotional reactions to the social stimulus [22]. The results of this research showed that family attitudes affect the life quality of post-shackled patients.…”

Section: Results Of Regression Analysismentioning

confidence: 84%

“…The Theory of Reasoned Action (TRA) and Theory of Planned Behaviour (TPB) models in predicting the determinants of family behaviour that affect the life quality of post-shackles patients were used in this study. The TRA from [22] is a form of the sociopsychological model. TRA is about the relationship between beliefs, behavioural and normative, attitudes, intentions, and behaviour.…”

Section: Introductionmentioning

confidence: 99%

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M.Kes

Pratiwi

2021

J. Med. Chem. Sci.

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Caregiver's behaviour in caring for family members with mental disorders highly influenced the life quality of post-shackle psychiatric patients. This study aimed at determining the determinants of behaviour in the caregiver that affect the life quality of post-shackle patients. The study was conducted using an analytical survey with a cross-sectional study approach. Samples were taken from a population of 63 post-shackle patients and their caregivers in Klaten and Sukoharjo. All seven determinants of caregiver behaviour were analysed by concurrent regression. The independent variables were knowledge, attitudes, behavioural tendencies, subjective norms, self-efficacy, intentions, and social support from the family, while the dependent variable was the life quality of post-stock patients. Data analysis included multiple regression analysis test, t-test, F-test, and R2. The regression test revealed F obtained of 9.624 with a significance value of 0.001 (ρ <0.05) so that H0 was rejected. The determination value was 0.493. Hence, the independent variable in the model could explain 49.3% of variations of changes in the dependent variable. The study concluded that caregiver behaviour, namely the factors of knowledge, attitude, self-efficacy, and caregiver intention, partially determined the quality of life of post-shackle patients in Klaten and Sukoharjo districts.

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“…Several ABMs apply decision theories in the context of adaptation behavior of smallholder farmers (e.g., Van Duinen et al, 2016;Hailegiorgis et al, 2018;Pouladi et al, 2019;Wens et al, 2020), but different modelers have different interpretation of the same theories. Modelers often build their own models from scratch focusing on specific cases, which makes it difficult to compare studies and to learn general lessons (O'sullivan et al, 2016;Muelder and Filatova, 2018).…”

Section: Introductionmentioning

confidence: 99%

Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments

et al. 2021

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Improving assessments of droughts risk for smallholder farmers requires a better understanding of the interaction between individual adaptation decisions and drought risk. Agent-based modeling is increasingly used to capture the interaction between individual decision-making and the environment. In this paper, we provide a review of drought risk agent-based models with a focus on behavioral rules. This review leads to the conclusion that human decision rules in existing drought risk agent-based models are often based on ad hoc assumptions without a solid theoretical and empirical foundation. Subsequently, we review behavioral economic and psychological theories to provide a clear overview of theories that can improve the theoretical foundation of smallholder farmer behavior and we review empirical parameterization, calibration, and validation methods of those theories. Based on these reviews, we provide a conceptual framework that can give guidance for the integration of behavioral theories in agent-based models. We conclude with an agenda to guide future research in this field.

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Agent-based socio-hydrological modeling for restoration of Urmia Lake: Application of theory of planned behavior

Cited by 72 publications

References 50 publications

Adoption of technology on E-learning effectiveness

Adoption of technology on E-learning effectiveness

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Integrating Behavioral Theories in Agent-Based Models for Agricultural Drought Risk Assessments

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