scholarly journals BARRIER FACTORS AFFECTING DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEM PROJECTS

2021 ◽  
Vol 9 (3-4) ◽  
pp. 100-120
Author(s):  
Phong Thanh Nguyen ◽  
Thu Anh Nguyen ◽  
Thang Huynh Tat 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 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 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 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.

Factors Affecting the Use and Consequences of Management Accounting Practices in A Transitional Economy: The Case of Vietnam

2016 ◽  
pp. 54-73 ◽  
Author(s):  
Anh Doan Ngoc Phi
Keyword(s):  
Significant Influence ◽  
Quantitative Data ◽  
Structural Equation ◽  
Qualitative Data ◽  
Management Accounting ◽  
Transitional Economy ◽  
Equation Modeling ◽  
Enterprise Performance ◽  
Factors Affecting

This study seeks to help fill an important gap in the literature by investigating factors that have facilitated the use of management accounting practices (MAPs) in Vietnam - a transitional economy. Data were collected from 220 medium-to-large enterprises. Follow-up interviews were conducted with 20 accounting heads/vice heads to obtain further information and clarification. The quantitative data collected was analyzed using both descriptive and inferential statistics (including t-tests and structural equation modeling), while the qualitative data was used to shed further light on the various relationships described by the quantitative analysis. This paper reveals that both decentralization and competition have a positive, significant influence on the use of new MAPs except for the old ones. Consequently, the use of MAPs has a positive, significant influence on enterprise performance.

Developing the Assessment and Indicators for Local Institutions in Dealing with Forest Fire Dilemma

2020 ◽  
Vol 11 (1) ◽  
pp. 163-163
Author(s):  
Eko Priyo Purnomo ◽  
Agustiyara ◽  
Rijal Ramdani ◽  
Dina Wahyu Trisnawati
Keyword(s):  
Forest Management ◽  
Forest Fire ◽  
Structural Equation ◽  
Equation Modeling ◽  
Local Institutions ◽  
Microsoft Excel ◽  
Organization Capacity ◽  
The Government ◽  
Depth Interviews ◽  
Fire Incidence

This study analyzes the main criteria and indicators in strengthening local institutions in charge of forest management towards dealing with forest fire incidence in Riau Province, Indonesia. Data were collected using in-depth interviews, observation, and questionnaires and analyzed with Microsoft Excel spreadsheets and other Structural Equation Modeling (SEM) techniques such as SPSS and Smart PLS. Moreover, only 87 out of the 120 questionnaires administered to related stakeholders were retrieved. Four variables, including Organization, Capacity, Authority, and Governance, were measured using ten indicators for each. The results showed a significant correlation between local institutions and these variables in solving forest management issues. It means there is a need to strengthen the institutions' structural plans to ensure the effective management of natural resources, and this is achievable through the support and help of the government and communities. Keywords: forest fire, local institutions, forest management.

CONSUMER DECISION MODEL (CDM) ANALYSIS OF EFFECTIVENESS VIDEOTRON ADVERTISING SERVED IN SURAKARTA

ProBank ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 69-81
Author(s):  
Muhammad Khoiruman ◽  
Ambar Warniati
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Decision Model ◽  
Equation Modeling ◽  
Scientific Publications ◽  
Consumer Decision ◽  
Intention To Purchase ◽  
Brand Recognition ◽  
Level Of Confidence ◽  
The Government

This study aims to analyze the effectiveness of Videotron media ads served in Surakarta using the Consumer Decision Model (CDM) Analysis. Viewed ad serving costs in videtron large enough it is necessary to study the effectiveness of the ads served on videtron. The model that is used in measuring the effectiveness of an ad in this research is the Consumer Decision Model (CDM). The research objective was to determine the effect the message of the ad (Information), branding (Brand Recognition), the formation of an attitude (Attitude), the level of confidence in the message (Confidence), and intention to purchase (Intention) market target after seeing ad impressions through Videotron. The study population is a society in Surakarta with sampling method is purposive sampling of 200 respondents Data analysis technique using Structural Equation Modeling (SEM) which resulted in the conclusion that the message of the ad (Information) positive effect but not significant with branding (Brand Recognition), formation attitude (attitude), and the level of confidence in the message (confidence). Brand recognition is positive and significant impact on the confidence and attitude while confidence and attitude positive and significant effect on the intention to purchase (Intention) market target after seeing ad impressions through Videotron. Outcomes of this study are: enrichment of teaching materials, especially marketing management, Scientific publications (national journals) and an input for an advertiser, the advertising company and the Government of Surakarta about the effectiveness of the ads served through Videotron so they can be a policy in the future.Keywords: Videotron, advertising, Consumer Decision Model, Information, Brand Recognition, Attitude, Confidence, and Intention

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 Perceived Environmental Responsibilities and Green Buying Behavior: The Mediating Effect of Attitude

2020 ◽  
Vol 13 (1) ◽  
pp. 35
Author(s):  
Guang-Wen Zheng ◽  
Abu Bakkar Siddik ◽  
Mohammad Masukujjaman ◽  
Syed Shah Alam ◽  
Alvina Akter
Keyword(s):  
Structural Equation ◽  
Environmental Concern ◽  
Mediating Effect ◽  
Primary Data ◽  
Equation Modeling ◽  
Buying Behavior ◽  
Exploratory Testing ◽  
Green Business ◽  
The Government ◽  
Questionnaire Surveys

The unsustainable operations of producers account for significant carbon emission and subsequent adverse impacts on nature. This study aims to identify the factors that influence consumers’ green buying behavior. The research focuses on the exploratory testing of theories using standardized questionnaires and interviews. Using a convenience selection approach, questionnaire surveys were used to gather primary data from a sample size of 305. The sample demographic reflects people who often make purchases; data were also obtained from shopping centers and elsewhere. The hypothesis testing of variables measured via five-point Likert scale questions was performed using structural equation modeling. We applied closed-ended questions relating to green buying behavior for the convenience of respondents. The empirical result established the effects of attitude, perceived severity of environmental problems, environmental concern, and subjective norms on Bangladeshi consumers’ green buying behavior. Additionally, it was discovered that attitude mediates the association between the perceived environmental responsibility and green buying behavior. Therefore, the government should play a constructive role in educating the public and promoting green business initiatives through improved coordination and legislative intervention.

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