An Extended Expectation Confirmation Model Of Continuance Intention To Use Online Food Delivery Services In Asia Country

Author(s):  
Lim Xhi Bo ◽  
Angela Siew Hoong Lee
2016 ◽  
Vol 33 (1) ◽  
pp. 34-47 ◽  
Author(s):  
Apollos Patricks Oghuma ◽  
Christian Fernando Libaque-Saenz ◽  
Siew Fan Wong ◽  
Younghoon Chang

The Winners ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Rano Kartono ◽  
Jane Kartika Tjahjadi

Currently, mobile applications are rapidly developing. One of the most frequently used services by society is online food delivery services. The research intended to scrutinize aspects affecting intentions to use online food delivery services during extraordinary event, like Coronavirus (COVID-19) outbreak in Jabodetabek (Jakarta metropolitan) area. The research adopted TRA (Theory of Reasoned Action) that integrated perceived trustworthiness, perceived relative advantage, perceived risk and attitude toward using to give insights on factors affecting consumers’ intention when using online food delivery services. The data collection was conducted through quantitative, non-probability, purposive sampling method using online questionnaires, that were spread out to all people who have experienced in using online food delivery services at least once, during COVID-19 outbreak (Feb-May 2020). In total, there were valid 127 questionnaires used to analyze the data variables using PLS-SEM method through SMART-PLS 2.0 M3 software. The results find that perceived trustworthiness, perceived relative advantage and perceived risk positively affect consumers’ attitudes toward using. Perceived trustworthiness and attitude toward using positively affects intention to use online food delivery services during Coronavirus outbreak in Jabodetabek area. However, perceived risk negatively affects intention to use online food delivery services during Coronavirus (COVID-19) outbreak in Jabodetabek area.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 972
Author(s):  
Sin Yin Tan ◽  
Su Yin Lim ◽  
Soon Fern Yeo

Background: During the COVID-19 pandemic, Malaysian consumers were more likely to purchase food online and have it delivered to their doorstep. To stay afloat, many restaurants were pushed to provide online food delivery services (OFDS), and this sector has grown tremendously. However, will the trend persist after the pandemic? This study aims to look into how consumers’ perceptions of OFDS affect their attitude towards them. It investigates the relationship between convenience motivation, perceived ease of use, time-saving orientation and price-saving orientation in terms of future intent to use OFDS. Method: Primary data was collected from 307 respondents in Malaysia using convenience sampling method through an online survey. Respondents’ demographic background was presented statistically in cross tabulation tables to study the ratio comparison implicitly. Consistent Partial Least Square approach and bootstrapping techniques with 5,000 subsamples was employed, with the aid of SmartPLS.V3 software, to identify the significant factors influencing consumers’ continuance intention after the pandemic. Result: Perceived ease of use does not contribute significantly to continuance intention as most consumers have prior online purchase experience.  Nevertheless, time-saving orientation has a positive correlation with perceived ease of use due to the simplicity of placing an order with just a click.  It is also found that price-saving orientation is related to convenience motivation, particularly when prices can be compared on the websites or online ordering platforms. Consumers’ intention to continue using OFDS even after the COVID-19 pandemic is positively influenced by all the parameters studied, except for perceived ease of use. Conclusion: Limited work has been done on the continuance intention to use OFDS beyond the pandemic. This study provides insight for food retailers on how to enhance their business and retain their customers with the support of technology, even after the COVID-19 pandemic.


10.28945/4842 ◽  
2021 ◽  
Vol 16 ◽  
pp. 397-434
Author(s):  
Ahmad A. Rabaa'i ◽  
Shareef Abu ALmaati ◽  
Xiaodi Zhu

Aim/Purpose: This study aims at investigating the factors that influence students’ continuous intention to use Moodle, as an exemplar of learning management systems (LMSs), in the post-adoption phase. Background: Higher education institutions (HEIs) have invested heavily in learning management systems (LMSs), such as Moodle and BlackBoard, as these systems enhance students’ learning and improve their interactions with the educational systems. While most studies on LMSs have focused on the pre-adoption or acceptance phases of this technology, the determinant factors that influence students’ continuance intention to use LMSs have received less attention in the information systems (IS) literature. Methodology: The theoretical model for this study was primarily drawn from the expectation-confirmation model (ECM). A total of 387 Kuwaiti students, from a private American University in the State of Kuwait, participated in this study. Partial least squares (PLS) was employed to analyze the data. Contribution: This study contributes to the existing scientific knowledge in different ways. First, this study extends the expectation confirmation model (ECM) by integrating factors that are important to students’ continuous intention to use LMSs, including system interactivity, effort expectancy, attitude, computer anxiety, self-efficacy, subjective norms, and facilitating conditions. Second, this study adds on a Kuwaiti literature context by focusing on the continuous intention to use LMSs, which is, to the best of our knowledge, the first study that extends and empirically assesses the applicability of the ECM in the LMSs context in a developing country – Kuwait. Third, this study conceptually and empirically differentiates between satisfaction and attitude, as two separate affect constructs, which were taken as interchangeable factors in ECM, and were disregarded by a large number of prior ECM studies concerned with continuous use intention. Finally, this study aims to assist HEIs, faculty members, and systems’ developers in understanding the main factors that influence students’ continuance use intention of LMSs. Findings: While subjective norms were not significant, the results mainly showed that students’ continuous intention to use Moodle is significantly influenced by performance expectancy, effort expectancy, attitude, satisfaction, self-efficacy and facilitating conditions. The study’s results also confirmed that satisfaction and attitude are two conceptually and empirically different constructs, conflicting with the views that these constructs can be taken as interchangeable factors in the ECM. Recommendations for Practitioners: This study offers several useful practical implications. First, given the significant influence of system interactivity on performance expectancy and satisfaction, faculty members should modify their teaching approach by enabling communication and interaction among instructors, students, and peers using the LMS. Second, given the significant influence of performance expectancy, satisfaction, and attitude on continuous intention to use the LMS, HEIs should conduct training programs for students on the effective use of the LMS. This would increase students’ awareness regarding the usefulness of the LMS, enhance their attitude towards the LMS, and improve their satisfaction with the system. Third, given the significant role of effort expectancy in influencing performance expectancy, attitude, and students’ continuous intention to use Moodle, developers and system programmers should design the LMS with easy to use, high quality, and customizable user interface. This, in turn, will not only motivate students’ performance expectancy, but will also influence their attitude and continuous intention to use the system. Recommendation for Researchers: This study conceptually and empirically differentiates between satisfaction and attitude, as two separate affect constructs, which were taken as interchangeable factors in ECM and were disregarded by a large number of prior ECM studies concerned with continuous use intention. Hence, it is recommended that researchers include these two constructs in their research models when investigating continuous intention to use a technology. Impact on Society: This study could be used in other countries to compare and verify the results. Additionally, the research model of this study could also be used to investigate other LMSs, such as Blackboard. Future Research: This study focused on how different factors affected students’ continuous intention to use Moodle but did not consider all determinants of successful system, such as system quality, information quality, and instructional as well as course content quality. Thus, future research should devote attention to the effects of these quality characteristics of LMS.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weisheng Chiu ◽  
Heetae Cho ◽  
Christina G. Chi

PurposeThis study aimed to explore consumers' continuance intention to use a fitness and health app by applying two theoretical models: the expectation–confirmation model (ECM) and the investment model (IM).Design/methodology/approachAn online survey was administered to consumers who are currently using fitness and health apps (N = 342). Structural equation modeling (SEM) was conducted using Amos 22.0 software to examine the hypothesized relationships in the research model.FindingsResults revealed that users' continuance intention was significantly predicted by the two models. Within the ECM, the positive and significant relationships among variables were found. Moreover, users' satisfaction and investment size had positive impacts on their commitment, which, in turn, positively affected the intention. Also, confirmation of expectations had a positive impact on investment size.Originality/valueThe integrated model helps better understand fitness and health app users' decision-making process from the perspective of relationship commitment and suggests practical implications for health and fitness app providers.


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