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 Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency: A Case From China

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092406 ◽  
Author(s):  
Qiuxian Hu ◽  
Leibao Zhang ◽  
Wenyu Zhang ◽  
Shuai Zhang
Keyword(s):  
Local Government ◽  
Information Acquisition ◽  
Structural Equation ◽  
Online Survey ◽  
Information Quality ◽  
Perceived Quality ◽  
Equation Modeling ◽  
Government Budget ◽  
The Government ◽  
Local Government Budget

For policymakers across the world, the importance of budget transparency is self-evident. However, most scholars mainly focus on the economic performance of budget transparency while ignoring satisfaction of the public as the recipients of this policy. Therefore, this study examines the main factors of public satisfaction with the local government budget transparency based on the theory of customer satisfaction in the context of the Chinese budget transparency policy. Data for this study were collected through an online survey involving 235 participants. Structural equation modeling (SEM) was employed to examine the proposed model. The results indicate that the budget information quality, budget information acquisition method, and public engagement are good indicators of budget transparency perceived quality, which are positively related to public satisfaction. The government image also exerts a positive effect toward public satisfaction. Furthermore, public satisfaction is also positively related to public trust toward the local government, even though the hypotheses linking public expectation to public satisfaction, and to budget transparency perceived quality are statistically insignificant. The implications of promoting budget transparency and suggestions for future work are also included in this study.

Fraud prevention initiatives in the Nigerian public sector

2018 ◽  
Vol 25 (2) ◽  
pp. 527-544 ◽  
Author(s):  
Rabiu Abdullahi ◽  
Noorhayati Mansor
Keyword(s):  
Public Sector ◽  
Structural Equation ◽  
Equation Modeling ◽  
Control Mechanisms ◽  
Fraud Triangle ◽  
Fraud Prevention ◽  
Content Type ◽  
The Public ◽  
The Government ◽  
Triangle Theory

Purpose Detecting and preventing fraud are challenging and risky tasks, especially in a fast developing economy such as Nigeria. The efforts become crucial in the government sectors, as they involve public’s trust and resources. The purpose of this study is to examine the relationships between the fraud incidence and the elements of fraud triangle theory (FTT) with the aim of combating current fraud outrages in the Nigerian public sector. Design/methodology/approach A survey was conducted and 302 questionnaires were distributed to the staff of the departments of accounting, internal auditing and investigation of ten selected ministries, departments and agencies of Kano State, Nigeria. Structural equation modeling (SEM) was used to analyze the data. Findings The study reveals a significant relationship between three elements of FTT and fraud incidences in the Nigerian public sectors (p-value < 0.001 for pressure and opportunity and p-value = 0.024 for rationalization). Practical implications The findings of the study are useful for forensic accountants and the Nigerian anti-graft bodies to enhance existing control mechanisms in fraud prevention initiatives. The research also contributes to bridge the gap in academic theory and empirical study related to FTT. Social implications Fraud scandals can cause public’s frustration, damage the reputation and integrity of the ruling government and result in negative image of the public sector. Originality/value Accordingly, the study suggests a salary scale reform (SSR) in the Nigerian public sector and improvement in fringe benefits to increase employees’ standard of living. The study concludes with recommendations to enhance fraud awareness and training programs to the government employees.

Consumer purchase intention of a cosmetic product after the Fukushima nuclear incident

2018 ◽  
Vol 46 (4) ◽  
pp. 551-561 ◽  
Author(s):  
Jae Hoon Hyun ◽  
Suk Bong Choi
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Brand Image ◽  
Equation Modeling ◽  
Factors Affecting ◽  
The Public ◽  
Cosmetic Product ◽  
Consumer Purchase Intention ◽  
The Impact

We examined the factors affecting consumer purchase intention of a cosmetic product after the Fukushima nuclear incident and the role of distinctiveness in postcrisis recovery. Through a 2-group experiment and structural equation modeling, we found that the incident did not affect the firm's reputation and brand image but it was perceived as a significant threat to health and product safety that consequently negatively affected purchasing intentions. Findings also showed that high distinctiveness is a valid factor in diminishing the impact of crisis. In particular, a firm's reputation and indirect effects on revenue are least affected by, or even positively related to distinctiveness. We have included discussion of the critical implications for firms around the importance of maintaining desirable relationships with the public as preparation for a crisis and for rapid postcrisis recovery.

scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Nastaran Hajiheydari ◽  
Babak Hazaveh Hesar Maskan ◽  
Mahdi Ashkani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Social Networks ◽  
Mobile Social Network ◽  
Key Factors ◽  
Factors Affecting ◽  
Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

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 Framing the Retirement Planning Behavior Model towards Sustainable Wellbeing among Youth: The Moderating Effect of Public Profiles

2020 ◽  
Vol 12 (21) ◽  
pp. 8879
Author(s):  
Asyraf Afthanorhan ◽  
Abdullah Al Mamun ◽  
Noor Raihani Zainol ◽  
Hazimi Foziah ◽  
Zainudin Awang
Keyword(s):  
Financial Literacy ◽  
Structural Equation ◽  
Retirement Planning ◽  
Measurement Scale ◽  
Equation Modeling ◽  
Systematic Random Sampling ◽  
The Public ◽  
Goal Clarity ◽  
The Government ◽  
Random Sampling Approach

This study examines the effect of financial literacy, saving attitudes, social influence, and goal clarity on the retirement planning construct. In addition, it investigates how the public demographic profile moderates these relationships. The questionnaire approach was utilized to collect data by adopting and customizing the measurement scale from previous studies. A systematic random sampling approach was employed on 323 prospective respondents. The outcomes of this study illustrate that all relationships are significantly and positively associated with retirement planning using structural equation modeling (SEM). Furthermore, all moderator variables (gender, age, status, income, and education) moderated the relationships. The government should construct a holistic retirement planning model that is based on demographic characteristics.

An Exploration of Pre-Service Teachers' Intention to Use Mobile Devices for Teaching

2015 ◽  
Vol 7 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Jung Won Hur ◽  
Ying W. Shen ◽  
Ugur Kale ◽  
Theresa A. Cullen
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Factors Affecting ◽  
The Us

Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the relationship among the factors. A total of 386 pre-service teachers participated in an online survey, and the model was tested using structural equation modeling. The results showed that 72.5% of variances in pre-service teachers' intention to use mobile devices were explained by perceived usefulness and self-efficacy for technology integration jointly, where perceived usefulness was the strongest predictor. The findings also demonstrated that constructivist beliefs and perceived ease of use indirectly influenced pre-service teachers' intention to use mobile devices for teaching.

Factors affecting customers’ intention to use of location-based services (LBS) in the lodging industry

2017 ◽  
Vol 8 (3) ◽  
pp. 337-356 ◽  
Author(s):  
Jungsun (Sunny) Kim ◽  
Sungsik Yoon ◽  
Dina Marie V. Zemke
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Location Based Services ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Privacy Concerns ◽  
Four Dimensions ◽  
Secondary Use ◽  
Hotel Customers

Purpose The purpose of this study is to investigate the determinants of customers’ intentions to use location-based services (LBS) offered by a hotel. The study examined whether hotel customers’ coupon proneness, trust, privacy concerns and familiarity with LBS are significant determinants of their intentions to use LBS. Design/methodology/approach An online survey using a scenario-based narrative was administered to collect data from participants who have smartphones and have stayed at a full-service hotel within the previous 12 months. A research model tested data collected from 402 hotel customers, using confirmatory factor analysis and structural equation modeling. Findings Three proposed determinants (i.e. familiarity, coupon proneness and trust) positively influenced customers’ intentions to use LBS. Out of the four dimensions of privacy concerns (concerns of collection, error, unauthorized secondary use and improper access), only concerns about data collection negatively influenced customers’ intentions to use a hotel’s LBS. Originality/value This study extends the literature on LBS adoption and other technology with privacy issues by modifying existing models and empirically testing it in the new context of hotels.

scholarly journals Factors Affecting the Use of Organic Seed by Organic Farmers in Europe

2020 ◽  
Vol 12 (20) ◽  
pp. 8540
Author(s):  
Stefano Orsini ◽  
Ambrogio Costanzo ◽  
Francesco Solfanelli ◽  
Raffaele Zanoli ◽  
Susanne Padel ◽  
...  
Keyword(s):  
Mixed Models ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Model ◽  
Organic Farms ◽  
Factors Affecting ◽  
The Public ◽  
Geographical Regions ◽  
Organic Farmers ◽  
Societal Expectations

The new European Organic Regulation 2018/848 has announced the phasing out of derogations for the use of untreated non-organic seed by 2036. However, the use of organic seed by organic farmers is currently limited. This paper aims to identify the factors affecting the use of organic seed. It is based on data collected from 749 organic farmers in 20 European countries, by conducting an online survey and using a network sampling. Results of the descriptive statistics and linear mixed models indicate that: (1) the situation of organic seed use is not consistent across geographical regions and crop sectors; (2) the use of organic seed is higher on farms selling directly to consumers than on those selling to supermarkets; (3) larger and more recently converted farms use less organic seed than established organic farms. In the second part of the paper, we analyse farmers’ attitudes towards organic seed use. The structural equation model (SEM) suggests that the highest contribution to explaining intention to use organic seed comes from social norms, i.e., farmers’ perception of societal expectations, particularly from the consumer and the organic certifier. Such expectations, if communicated in the public and political discourse, could stimulate the use of organic seed.

Exploring Travel Behavior of Households with Pre-School Aged Children

2021 ◽  
pp. 036119812098800
Author(s):  
Muhammad Ahsanul Habib ◽  
Md Asif Hasan Anik ◽  
Caroline Robertson
Keyword(s):  
Child Care ◽  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Care Center ◽  
Equation Modeling ◽  
Child Care Centers ◽  
Factors Affecting ◽  
School Aged Children ◽  
Transit Use

Child-care centers are major trip generators for households with pre-school aged children (< 5 years). This paper presents a framework to analyze the factors affecting daily travel choices and challenges of child-care going households. Through rigorous literature review, this study first identifies important variables affecting mode choice, child-care center choice, transit use, and intention to drive. Next, it develops and distributes an online survey questionnaire to the registered child-care centers in Halifax Regional Municipality, Canada, to get data on individual households’ travel choices, challenges, factors affecting those choices, and importance level of those factors, as well as socio-demographic information. The study collects data from over 200 households, which is then analyzed using structural equation modeling to examine the effects of the identified factors such as safety, cost, distance, location, affordability, and convenience on day-to-day child-care trip decisions. The findings suggest that most of the families (73%) rely on private vehicles to make child-care trips as a result of family time, travel freedom, and parking availability. Other variables that motivate them to drive are travel safety, convenience, and opportunity to do trip chaining. Results show that 57% of the households group their child-care trip with a work trip. Distance to nearest bus stop, carrying child belongings, and length of trip to child-care are considered major barriers for transit use. The results of this study are expected to assist policy makers to understand travel patterns and barriers of households with pre-school aged children and help in designing communities to promote sustainable travel behavior.

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