scholarly journals Factors Affecting Cyclist Behaviours in the Special Region of Yogyakarta

2021 ◽  
pp. 105-114
Author(s):  
Danang Febrianto ◽  
Dewanti ◽  
Imam Muthohar
Keyword(s):  
Risk Perception ◽  
Structural Equation ◽  
Spreading Rate ◽  
High Rate ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Continuous Increase ◽  
Factors Affecting ◽  
The Government ◽  
Special Region

Bicycle-riding/cycling has reportedly become a new trend in various cities of Indonesia, as well as the Special Region of Yogyakarta, amidst the social restriction applied by the Government to decrease the spreading rate of the COVID-19 virus. This is observed to be a healthier effort in strengthening the immune system during the pandemic. However, the positive growth of this trend is proportional to the increasing data on bicycle accidents. This was due to the increased rate of injured and dead victims from 2017 to 2020. The human behavior factor is also one of the factors causing the high rate of these bicycle accidents. Therefore, this study aims to analyze the factors affecting the behavior of cyclists in the Special Region of Yogyakarta, to reduce the continuous increase of accidents. The data used in this study were the result of the Cyclist Behavior Questionnaire (CBQ) on the Yogyakarta riders. The samples were obtained through the purposive sampling method, using an online questionnaire with a google form and acquiring 362 respondents. Furthermore, the analytical method used was the structural equation modeling (SEM), through the AMOS 22.0 software. The results indicated that the regulation scale directly affected risk perception and cyclist behaviors (risky and positive). However, age only affected their behaviors, which did not directly affect the accidents. The regulation scale then directly affected the risky behavior of cyclists, with risk perception observed as the mediator, implying that the cyclists' knowledge of road safety regulations influenced individual behaviors. In conclusion, these results are expected to be one of the considerations in the policy of the government, to carry out the overall development of transportation, especially bicycles.

scholarly journals Toward an improved risk/crisis communication in this time of COVID-19 pandemic: a baseline study for Philippine local government units

2020 ◽  
Vol 19 (07) ◽  
pp. A09
Author(s):  
Reymund Flores ◽  
Xavier Venn Asuncion
Keyword(s):  
Local Government ◽  
Crisis Communication ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Communication Preferences ◽  
Health Crisis ◽  
Factors Affecting ◽  
The Public ◽  
The Government

This study mainly explores the communication preferences of the public; their level of trust in the government; and the factors affecting their risk/crisis perception amidst the COVID-19 pandemic. The key findings —derived from the data collected through an online survey and analysis using descriptive statistics, cross-tabulations, and Structural Equation Modeling (SEM), provide insights on how Local Government Units (LGUs) can improve their risk/crisis communication in this current health crisis. Among the key takeaways include the use of social media platforms, like Facebook, and native/local language for effective risk/crisis communication which may, consequently, foster trust building between the LGUs and the public.

scholarly journals Factors Affecting the Capacity of Green Gang Managers in the Utilization of Yards for Green Open Space in Jakarta

2021 ◽  
Vol 4 (2) ◽  
pp. 149-162
Author(s):  
Suryani ◽  
Pudji Muljono ◽  
Djoko Susanto ◽  
Sri Harijati
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Open Space ◽  
Analysis Data ◽  
Personal Attributes ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Capacity Level ◽  
The Government

This study aims to identify the Green Gang Manager capacity level and analyze the factors that affect the Green Gang Manager capacity in Jakarta. The technique of research includes a survey approach for 340 respondents in DKI Jakarta Province from 2,236 Green Gang Managers. Research in the five administrative towns of central Jakarta, East Jakarta, West Jakarta, South Jakarta and North Jakarta has been undertaken between December 2019 and February 2020. Techniques for data collecting through open interviews, in-depth interviews and focus group discussions. Inferential data analysis. Data analysis. PLS and Logical model analysis using Structural Equation Modeling (SEM). The results showed that the capacity of Green Gang Managers in DKI Jakarta Province was in the medium category. This indicates that the Green Alley Manager's capacity level is quite understanding regarding utilizing Green Open Space. Green Gang Managers' ability is influenced significantly and effectively by individual properties, support of stakeholders and Green Gang managers' involvement. Non-formal training and motivation are personal attributes that affect Green Gang Manager skills. The role of the government, the part of the community, the role of the media and the role of extension workers are all stakes that influence the capacity of the Green Gang manager. Planning, implementation, using outcomes and evaluation are the level of participation that influences the capacity of Green Gang managers.

scholarly journals Transformation of Digital Marketing in the 4.0 Industry Revolution: A Study on Batik MSMEs

2018 ◽  
Vol 7 (4.34) ◽  
pp. 352
Author(s):  
R. Adjeng Mariana Febrianti ◽  
Mohd Haizam Mohd Saudi ◽  
Keni Kaniawati ◽  
Nurul Hermina
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Product Quality ◽  
Structural Equation ◽  
Local Economy ◽  
Equation Modeling ◽  
Snowball Sampling ◽  
The Government ◽  
Small Medium Enterprises ◽  
Special Region

The success of the business cannot be separated from an implementation and utilization of information technology encouraging the creation of a competitive business which can be seen from the effectiveness of its supporting system. Currently, many business owners are inspired to improve their business with digitalization. The 4.0 industry revolution does not only occur in the government environment but also transpires other businesses with traditional culture background. A unique custom contributes advantages to Yogyakarta Special Region (Daerah Istimewa Yogyakarta) which produces traditional hand-drawn batik. The batik pieces are then processed into kemben. This study aims to find out the role of customer satisfaction in order to improve competitiveness through product quality, service quality, and price. This study used a snowball sampling method of 200 respondents analyzed using SEM (Structural Equation Modeling). The result showed that product quality and price affect customer satisfaction through service quality. Eventually, the increasing product quality will provide benefits for Micro Small Medium Enterprises (MSMEs) of kemben in Yogyakarta Special Region and bring improvement for the local economy.  

scholarly journals Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 780
Author(s):  
Yogi Tri Prasetyo ◽  
Ralph Andre C. Roque ◽  
Thanatorn Chuenyindee ◽  
Michael Nayat Young ◽  
John Francis T. Diaz ◽  
...  
Keyword(s):  
Medical Education ◽  
Medical Students ◽  
Behavioral Intention ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Instructor Characteristics

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

scholarly journals Barrier factors affecting development of intelligent transport system projects

2021 ◽  
Vol 9 (3-4) ◽  
pp. 100-120
Author(s):  
Phong Nguyen ◽  
Thu Nguyen ◽  
Thang Tran
Keyword(s):  
Structural Equation ◽  
Transport Infrastructure ◽  
Equation Modeling ◽  
Measurement Tool ◽  
Intelligent Transport System ◽  
Comprehensive Overview ◽  
Factors Affecting ◽  
Traffic System ◽  
Intelligent Transport ◽  
The Government

This paper identifies potential barrier factors affecting effectiveness and development (ED) of ITS projects as well as criteria for measuring ED of ITS projects in Ho Chi Minh City, Vietnam. The study discovers the barrier constructs, and analyzes data using the Partial Least Squares Structural Equation Modeling method (PLS-SEM). The results provides a general and comprehensive overview of the main issues of ITS, and identifies 28 barrier factors with five main constructs affecting ED of ITS projects, namely the lack of undivided attention from the government (AG), financial constraints for ITS (FC), inadequate transport infrastructure (ITI), the over-development of urbanization (ODU), and the readiness and integration for ITS (RI). This paper fill the knowledge gap by discovering the causal relationships between barrier constructs and ED of ITS projects in Vietnam. Also it proposes several solutions for these issues, which are also a useful measurement tool for government agencies, planners, and traffic system designers to help them self-assess and make action plans now or in the near future.

scholarly journals Strengthening social capital of urban community during COVID-19 disaster

2021 ◽  
Vol 331 ◽  
pp. 01013
Author(s):  
Dwi Kristanti ◽  
Edison Edison ◽  
Mohammad Kus Yunanto ◽  
Alfiandri Alfiandri ◽  
Diah Siti Utari ◽  
...  
Keyword(s):  
Social Capital ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Urban Community ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
The Government ◽  
The Impact

COVID-19 disaster has destroyed many facets of societal and economic circumstances. However, it remains a crucial debate how the effect of COVID-19 on community social capital. This study aims to examine the relationship between a community’s risk perception on COVID-19 and social capital. In addition, we also investigate the mediating role of social collectivism in the association. This research used a survey approach by performing an online questionnaire. Data were gathered from 156 respondents at the residence in an urban community in Sukoharjo, Central Java. A partial-least square structural equation modeling (PLS-SEM) was applied to analyze the data. The results show that social capital enhances during COVID 19 because of the increasing risk perceptions on COVID-19 and social collectivism. The impact of risk perceptions on social capital is mediated by social collectivism. The present study adds our understanding of social capital at the time of the COVID-19 outbreak, especially what factors drive it. The research also has practical implications for the government and urban community to anticipate risks of COVID-19 by enhancing social capital and collectivism.

scholarly journals Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5008
Author(s):  
Arifa Tanveer ◽  
Shihong Zeng ◽  
Muhammad Irfan ◽  
Rui Peng
Keyword(s):  
Risk Perception ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Self Efficacy ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Solar Pv ◽  
Perception Of Self ◽  
The Government

Solar PV (photovoltaic) technology has gained considerable attention worldwide, as it can help reduce the adverse effects of CO2 emissions. Though the government of Pakistan is adopting solar PV technology due to its environmental friendliness nature, studies focusing on consumer’s acceptance of solar PV are limited in the country. This research aims to close this knowledge gap by looking into the various considerations that may influence consumers’ willingness to adopt (WTA) solar PV for household purposes. The study further contributes by expanding the conceptual framework of the theory of planned behavior by including three novel factors (perceived risk, perception of self-efficacy, and openness to technology). The analysis is based on questionnaire data collected from 683 households in Pakistan’s provincial capitals, including Lahore, Peshawar, Quetta, Gilgit, and Karachi. The proposed hypotheses are investigated using the state-of-the-art structural equation modeling approach. The empirical results reveal that social norms, perception of self-efficacy, and belief about solar PV benefits positively influence consumers’ WTA solar PV. On the contrary, the perceived risk and solar PV cost have negative effects. Notably, the openness to technology has an insignificant effect. This study can help government officials and policymakers explore cost-effective, risk-free technologies to lessen the environmental burden and make the country more sustainable. Based on research results, study limitations, as well as prospective research directions, are also addressed.

scholarly journals Factors influencing protective behavior in the post-COVID-19 period in China: a cross-sectional study

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Guiqian Shi ◽  
Xiaoni Zhong ◽  
Wei He ◽  
Hui Liu ◽  
Xiaoyan Liu ◽  
...  
Keyword(s):  
Risk Perception ◽  
Latent Variables ◽  
Structural Equation ◽  
Protective Action ◽  
Equation Modeling ◽  
Direct Effects ◽  
Protective Behavior ◽  
Factors Influencing ◽  
Social Emotion ◽  
The Government

Abstract Background The study aimed to explore the factors influencing protective behavior and its association with factors during the post-COVID-19 period in China based on the risk perception emotion model and the protective action decision model (PADM). Methods A total of 2830 valid questionnaires were collected as data for empirical analysis via network sampling in China. Structural equation modeling (SEM) was performed to explore the relationships between the latent variables. Results SEM indicated that social emotion significantly positively affected protective behavior and intention. Protective behavioral intention had significant direct effects on protective behavior, and the direct effects were also the largest. Government trust did not have a significant effect on protective behavior but did have a significant indirect effect. Moreover, it was found that government trust had the greatest direct effect on social emotion. In addition, we found that excessive risk perception level may directly reduce people’s intention and frequency of engaging in protective behavior, which was not conducive to positive, protective behavior. Conclusion In the post-COVID-19 period, theoretical framework constructed in this study can be used to evaluate people’s protective behavior. The government should strengthen its information-sharing and interaction with the public, enhance people’s trust in the government, create a positive social mood, appropriately regulate people's risk perception, and, finally, maintain a positive attitude and intent of protection.

scholarly journals Expatriates’ intention to send surgical masks to their native countries during the COVID-19 pandemic

2021 ◽  
Vol 12 (8) ◽  
pp. 2061-2078
Author(s):  
Rushikesh Ulhas Khire ◽  
Adam Edward Bell ◽  
Schreiber Wiebke ◽  
Chun Wang
Keyword(s):  
Risk Perception ◽  
Structural Equation ◽  
Theory Of Reasoned Action ◽  
Reasoned Action ◽  
Situational Factors ◽  
Equation Modeling ◽  
Future Research ◽  
Online Questionnaire ◽  
Related Factors ◽  
Surgical Masks

The main purpose of this study is to gain a better understanding of the factors that determine behavioral intention of expatiates living in Taiwan to send surgical masks to their native country following the Covid-19 outbreak. To achieve this, the study builds a research model by extending Theory of Reasoned Action (TRA) with Knowledge-Attitude-Behavior (KAB) and Risk perception conceptions, incorporating Covid-19 related factors such as knowledge, fear, and risk perception and situational factors such as perceived mask scarcity. An online questionnaire was administered with 83 respondents participating. A partial least squares structural equation modeling (PLS-SEM) analysis was used to evaluate the collected data. We found that no significant relationship between both Covid-19 risk perception, and fear and expatiates’ attitudes to send surgical masks back home. Results further reveal that Covid-19 knowledge is the only factor that significantly influence expatriates’ attitudes, which in turn impact their on the intention to send surgical masks to their native countries. Perceived mask scarcity found to positively moderate relationship between attitude and intention. This study contributes to the growing body of literature and research focused on the Covid-19 pandemic, and offers some implications for future research on the correlations between knowledge and scarcity in the context of the theory of reasoned action. Although the current study examines a contemporary critical issue, it presents a key example of personal protective equipment (PPE).

scholarly journals Determining Factors Affecting Customer Intention to Use Rooftop Solar Photovoltaics in Indonesia

2021 ◽  
Vol 14 (1) ◽  
pp. 280
Author(s):  
Dafit Bagus Maha Bekti ◽  
Yogi Tri Prasetyo ◽  
Anak Agung Ngurah Perwira Redi ◽  
Arif S. Budiman ◽  
I Made Putra Loka Mandala ◽  
...  
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Solar Panels ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Solar Photovoltaics ◽  
Sustainable Resources ◽  
Rooftop Solar

Many developing countries on the equator, including Indonesia, have the potential for renewable and sustainable resources, such as solar energy. However, despite the enormous potential, the adoption level remains low. Previously, several studies discussed the potential, the feasibility, and the supporting policy of this technology, but none have been discussed from the customers’ perspective on a national scale. Therefore, this study attempts to determine the factors affecting the customers’ intention to use solar photovoltaics in Indonesia to develop a sustainable circular supply chain for renewable energy. This investigation was conducted based on integrating the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). Furthermore, an online questionnaire was successfully distributed with a total of 208 participants. Structural equation modeling (SEM) was utilized to derive the causal relationships of the proposed hypotheses. The results indicated that price value (PV) has a positive relationship and a significant influence on attitude toward use (ATU), which leads to the behavioral intention (BI) to make the construct the most affecting factor. This is the first comprehensive study to analyze the intention to use rooftop solar panels based on the UTAUT2 and TPB framework. The successful approach to support photovoltaic use will bring less waste and strengthen the circular supply chain to support sustainable development.

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