Factors Determining the Behavioral Intention of Using Food Delivery Apps during COVID-19 Pandemics

2021 ◽  
Vol 16 (5) ◽  
pp. 1297-1310
Author(s):  
Chaiyawit Muangmee ◽  
Sebastian Kot ◽  
Nusanee Meekaewkunchorn ◽  
Nuttapon Kassakorn ◽  
Bilal Khalid
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Food Delivery ◽  
Equation Model ◽  
Primary Data ◽  
Perceived Safety ◽  
Perceived Trust ◽  
Endogenous Variables ◽  
Behavioral Intention To Use

The purpose of this study was to investigate the factors determining the behavioral intention of using food delivery apps (FDAs) during COVID-19 pandemics, under a case study of Bangkok, Thailand. The study was necessitated by the increased use of FDAs during the lockdown; online transactions were considered important in preventing the spread of the virus. The study used quantitative techniques involving structural equation model (SEM) to evaluate the effects of exogenous variables on endogenous variables. Primary data were collected from people who had installed and used FDAs. The findings indicated that performance expectancy, effort expectancy, social influence, timeliness, task technology fit, perceived trust, and perceived safety significantly influence the behavioral intention to use (BIU) to use food delivery apps during the COVID-19 pandemic. To this end, effort should be intensified to study and understand FDAs as it pertains to safety and usage.

scholarly journals The Determinants of Online Stock Investment in Malaysia: A Case in Early Phase of COVID-19 Pandemic

2021 ◽  
pp. 88-105
Author(s):  
Tan Yong-Da ◽  
Teoh Teng-Tenk, Melissa ◽  
Lee Teck-Heang
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Primary Data ◽  
Online Questionnaire ◽  
Stock Trading ◽  
Survey Tool ◽  
Stock Investment ◽  
System Developer ◽  
Facilitating Conditions

The purpose of this research is to determine the factors that affect the behavioral intention of Malaysians individuals to adopt online stock trading. The primary data is collected with the help of structured questionnaire from 285 participants in the study who are current or potential investors in the Malaysian stock market. The online surveys were distributed from the last quarter of 2019 to the first quarter of 2020. This study uses the structured and self-administered online questionnaire survey tool to collect the primary data from samples. Non-probability convenient sampling method was employed and Partial Least Squares Structural Equation Model (PLS-SEM) is adopted. The results indicate that all constructs, namely performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) have a direct significant positive relationship toward behavioral intention. In addition, the study shows that PE is the most important factor in determining individuals’ behavioral intention in adopting online stock trading. In conclusion, online stock trading system developer should focus on designing the additional useful features and ensuring the quality of the information to satisfy the demands and desires of the general public and to build features such as prompting traders to avoid the possibility of over trading or with feature enabling users to backtrack and test their trading strategies and to customize different types of analysis to help users making informed investment decisions.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI BEHAVIORAL INTENTION APLIKASI DELIVERY SERVICE FOOD&BEVERAGE

2021 ◽  
Vol 13 (1) ◽  
pp. 164-182
Author(s):  
Hayu Gathut Abyantoro Seno ◽  
Purnamaningsih Purnamaningsih
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Coffee Consumption ◽  
Positive Influence ◽  
Food Delivery ◽  
Equation Model ◽  
Coffee Shop ◽  
Time Saving ◽  
Managerial Implications ◽  
Coffee Shops

Abstract - During the Covid-19 pandemic, the food and beverage industry, especially coffee consumption, increased by 44% from 2008-2019. This is also supported by the increasing number of coffee shops with the coffee to go concept, namely coffee shops that are built with simple outlets and focus on serving take away. Fore Coffee is a coffee shop with the concept of coffee to go. During the Covid-19 pandemic, several outlets of Fore Coffee were closed. Facing this circumtance Fore Coffee focused on selling through online media, including applications. However, in 2020 data shows that the performance of the Fore Coffee app has decreased. This of course had an impact on the sales of Fore Coffee. Therefore, the aim of this research is to increase consumer desire to use the Fore Coffee application. Fourteen hypotheses will be tested in this study. The data will be analyzed by using a structural equation model (SEM). The samples analyzed were 145 samples. The results of this study indicate that time saving orientation and price saving orientation have a positive influence on post-usage usefulness and post-usage usefulness has an influence on attitude towards online food delivery services, and behavioral intention. Meanwhile, hedonic motivation and prior online purchase experience have no influence on behavioral intention. Managerial implications will be discussed in depth in this study. Keywords:  Convenience; Post-Usage Usefulness; Attitude; Behavioral Intention

scholarly journals The coastal communities and the alternative income (Case study in Tomini Bay)

2021 ◽  
Author(s):  
Lis M Yapanto
Keyword(s):  
Structural Equation Model ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Secondary Data ◽  
Equation Model ◽  
Coastal Communities ◽  
Primary Data ◽  
Survey Method ◽  
Environmental Services

Abstract This study aims to assess the household diversification of coastal fishing on the welfare of coastal communities in the District of Kabila Bone, Bolango District, for 5 months, from August 2019 - November 2019. Samples of the coastal community of 200 people, making do with a survey method. The data collected are primary data and secondary data were done by using observation, interview techniques, documentation techniques. Based on the model developed from the relevant theory, then tested on a model using the Structural Equation Model (SEM) based on SMART PLUS. The results of the analysis of business diversification models suggest that the utilization of environmental services does not affect the welfare of coastal communities. Keywords: diversification; SEM-PLS; welfare; environmental sustainability.

scholarly journals Penerapan Model Utaut (Unified Theory Of Acceptance And Use Of Technology) Untuk Memahami Niat Dan Perilaku Aktual Pengguna Go-Pay Di Kota Padang

2019 ◽  
Vol 1 (4) ◽  
pp. 1949-1967
Author(s):  
Mutiara Indah ◽  
Henri Agustin
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Primary Data ◽  
Equation Modeling ◽  
Unified Theory ◽  
Behavior Intention ◽  
Use Of Technology ◽  
Use Behavior ◽  
Behavioral Intention To Use ◽  
Positive Effect

This study aims to find evidence that the model UTAUT (Unified Theory of Acceptance and Use of Technology) is a conceptual framework to explain the acceptance and use of Go-Pay as one of the mobile payment services in the city of Padang. The data used in this research is primary data obtained by distributing a questionnaire online. This study using purposive sampling with a sample of 150 respondents who have used Go-Pay.Analysis of the data used in this research is Structural Equation Modeling (SEM). Data analysis techniques using SmartPLS ver.3.2.8 processed. This study found evidence that performance expectancy, social influence and positive effect on behavioral intention; facilitating condition and behavioral intention to use behavior has a positive effect, while the effort expectancy negatively affect behavior intention.

A Study on Factors Affecting on Customer Intention to Use the Express Bus

2018 ◽  
Vol 34 (5E) ◽  
Author(s):  
Phuong Nguyen Van ◽  
Hieu Trung Nguyen ◽  
Toan Bao Le
Keyword(s):  
Local Government ◽  
Service Quality ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Perceived Value ◽  
Equation Model ◽  
Corporate Image ◽  
Organizational Image ◽  
Factors Affecting ◽  
Managerial Implications

The improvement of transit service quality is an essential role in developing urban and interstate transportation. The local government, as well as bus service companies, should understand the behavioral intention of passengers to meet their expectation and requirements. This paper aims to highlight such behavioral decision and investigate dominant factors that influence the customers’ decision to use the express bus. The study explores the case of express bus companies in Tay Ninh province, Vietnam. By using the structural equation model approach to analyze the data collected from 295 passengers, who have experienced in using the express bus, the results reveal that service quality has a significantly positive relationship with both perceived value and corporate image. Specifically, customer satisfaction and organizational image also positively influence behavioral intention. Meanwhile, service quality indirectly affects on behavioral intention throughout perceived value and corporate image. Based on the findings, we provided some insightful managerial implications and recommendations to managers of bus carriers, and valuable practical suggestions to policymakers in the local government of Tay Ninh province to improve the service quality to encourage more citizens to use the express bus.

scholarly journals Empirical Underidentification with the Bifactor Model: A Case Study

2017 ◽  
Vol 78 (5) ◽  
pp. 717-736 ◽  
Author(s):  
Samuel Green ◽  
Yanyun Yang
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Bifactor Model ◽  
Data Sets ◽  
Bifactor Models

Bifactor models are commonly used to assess whether psychological and educational constructs underlie a set of measures. We consider empirical underidentification problems that are encountered when fitting particular types of bifactor models to certain types of data sets. The objective of the article was fourfold: (a) to allow readers to gain a better general understanding of issues surrounding empirical identification, (b) to offer insights into empirical underidentification with bifactor models, (c) to inform methodologists who explore bifactor models about empirical underidentification with these models, and (d) to propose strategies for structural equation model users to deal with underidentification problems that can emerge when applying bifactor models.

scholarly journals An Empirical Examination of Factors Influencing the Behavioral Intention to Use Zakat-Based Crowdfunding Platform Model for Countering the Adverse Impact of COVID-19 on MSMEs in Indonesia

2020 ◽  
pp. 203-218
Author(s):  
Sulaeman Sulaeman ◽  
Sri Yayu Ninglasari
Keyword(s):  
Behavioral Intention ◽  
Online Survey ◽  
Adverse Impact ◽  
Primary Data ◽  
Empirical Examination ◽  
Factors Influencing ◽  
Use Of Technology ◽  
The Government ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

ABSTRACT This study aims to examine the behavioral intention of the Muslim crowd funders to use the Zakat-based crowdfunding platform model by adopting the concept of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. The platform model, as an intermediary between Muslim crowd funders and MSMEs, provides financing services for MSMEs to fight any kind of situation/pandemic like COVID-19 nowadays. This study used the primary data that is collected by using the online survey questionnaires, and then the analysis is conducted using partial least squares (PLS) regression. The empirical study shows that all the variables except for facilitating conditions have a significant positive effect on the intention of Muslim crowd funders to use the Zakat-based crowdfunding platform model. The present study will help the government and policymakers to plan appropriate intervention strategies to minimize the adverse impact of the COVID-19 pandemic on MSMEs in Indonesia. Furthermore, the study will contribute to the existing literature especially on the factors influencing the adoption of the Zakat-based crowdfunding platform model.

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