Analysis of Social Commerce Success Using the Expectation Confirmation Model (ECM) Method DOI

Linda Perdana Wanti,

Andesita Prihantoro

Journal of Multimedia Trend and Technology., Journal Year: 2024, Volume and Issue: 3(3), P. 183 - 192

Published: Dec. 15, 2024

The rapid development of social commerce has changed the way consumers shop and interact with brands. However, success platforms cannot be separated from a deep understanding factors that influence consumer satisfaction purchase intentions. This study aims to analyze using Expectation Confirmation Model (ECM) method. ECM is model explains influenced by confirmation their expectations product or service. identifies main problems in commerce, namely uncertainty about quality, transaction security, shopping experiences meet expectations. research method used quantitative approach survey who have shopped through platforms. Data were analyzed descriptive inferential statistical techniques test hypothesis. results showed ease use platform had positive effect on satisfaction. In addition, also repurchase intentions platform. Based these findings, this offers solutions for managers increase These include providing clear accurate information, ensuring improving an easy enjoyable experience.

Language: Английский

If I Enjoy, I Continue: The Mediating Effects of Perceived Usefulness and Perceived Enjoyment in Continuance of Asynchronous Online English Learning DOI Creative Commons
Fang Huang, Shuiyin Liu

Education Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 880 - 880

Published: Aug. 12, 2024

Although possessing flexibility and accessibility, asynchronous online courses suffer from high attrition cause unsatisfactory learning performance, leading to a pressing need understand factors influencing learners’ continuance of intention. Based on the expectation confirmation model, this study investigated perceived enjoyment as an extended variable unpack mediating effects usefulness relationship between Quantitative data 254 learners enrolled in English were obtained for analysis. Results indicate that significantly positively affects intention take courses. Perceived mediate The total indirect effect through combination was 55.52%. Additionally, interviews with five revealed despite limited real-time interaction, they highly value given promote self-regulated learning, offer choice freedom, foster sense achievement, reduce anxiety embarrassment risks trigger their enjoyment. This provided deep insights into EFL decisions learning. Instructors are suggested improve quality courses, provide timely feedback, design tasks perceptions further engage synchronous

Language: Английский

Citations

7
Students’ Intention to Adopt a Mother-Tongue Version of the Dynamic Mathematics Software GeoGebra in Their Classrooms DOI Creative Commons

Vuyani Matsha

Computers in the Schools, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Jan. 29, 2025

Language: Английский

Citations

0
Modelling the effects of self-regulation, perceived usefulness, confirmation and satisfaction on the continuous intention to utilise mobile learning applications DOI Creative Commons
Sultan Hammad Alshammarı, Saleh Abdullah Alkhabra

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: Feb. 13, 2025

Although m-learning applications have been widely used in universities, the factors that might affect continuous intention to utilise them not fully addressed. Therefore, this study aimed understand by extending expectation confirmation model (ECM) and incorporating self-regulated learning (SRL). A quantitative research design was adopted, data were gathered using a structured questionnaire distributed 227 undergraduate university students through simple random sampling. The analysed structural equation modelling (SEM) AMOS. findings revealed proposed has high explanatory power (79%), which explains phenomena of influential factors. Additionally, students’ perceived usefulness (PU) satisfaction had positive direct significant effect on use applications. However, did but did. Furthermore, SRL an indirect intention, while it both confirmation. practical theoretical implications are further discussed detail.

Language: Английский

Citations

0
Understanding the Impact of Push-Pull-Mooring Factors on the Switching and Continued Usage Intentions for Electric Three-Wheelers in Public Transport DOI Creative Commons
Pamela R. Davis, Thenappan Chandrasekar

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100554 - 100554

Published: March 1, 2025

Language: Английский

Citations

0
Predicting the actual use of artificial intelligence features of Apple Vision Pro using PLS-SEM DOI
Rana Saeed Al-Maroof, Ragad M Tawafak, Waleed Mugahed Al-Rahmi

et al.

Contemporary Educational Technology, Journal Year: 2025, Volume and Issue: 17(3), P. ep580 - ep580

Published: March 27, 2025

Despite the spread of artificial intelligence (AI) tools and applications, Apple Vision Pro (AVP) stands out for its innovative features compared to other types wearable technology. Moreover, traditional glasses have been deficient in incorporating many AI innovations that could enhance user experiences pose new challenges. In response these aspects, this study aims develop a theoretical model by integrating constructs from expectation confirmation (ECM) (expectation satisfaction [SAT]) aspects Uses Gratifications (U&G) theory. The perceived human likeness mediates model. This focuses on educational domain, aiming assess how technology enhances academic environment improves learning outcomes. method used was survey distributed among 134 participants Al Buraimi University College, Oman, two departments: English, linguistics, information consists seven hypotheses emphasize conceptual findings significantly impact predicting actual use (AU) AVP, indicating users’ expectations SAT play pivotal role adoption are closely linked variable likeness. Similarly, factors such as entertainment value, informativeness, lack web irritations influence associated with variable. However, Informativeness gratification failed pass proposal showed negative indicator AU AI. implications drawn results suggest institutions should tailor their courses curricula promote effective

Language: Английский

Citations

0
From Experience to Adoption: Modelling EFL Learners' GenAI Continuance Through Linear and Configurational Approaches DOI
Liwei Hsu

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(2)

Published: May 20, 2025

ABSTRACT As generative artificial intelligence (GenAI) increasingly penetrates language education, understanding learners' continued intention to use this technology becomes crucial. This study examines EFL continuance GenAI for learning through PLS‐SEM and fsQCA methodologies. Participants were undergraduate learners ( N = 383) from three universities in Taiwan, aged 18–24, with varying English proficiency levels (TOEIC 450–860 or CEFR A2‐B2). Data collected an online survey comprising validated scales measuring acceptance constructs personality traits using 5‐point Likert scales. Analysis employed both partial least squares structural equation modelling (PLS‐SEM) fuzzy‐set qualitative comparative analysis (fsQCA). Results showed that key dimensions – dependability, attractiveness novelty shape users' overall experience GenAI, where dependability specifically align initial expectations. Both expectancy confirmation social influence predict intention. Openness moderates these relationships positively but negatively influence, indicating individuals high openness prioritise personal evaluation over cues. the first combine research, it reveals complementary insights: while identifies predictors of use, uncovers multiple pathways adoption, as core conditions across configurations. dual‐method approach advances theoretical adoption by demonstrating how linear coexist complex configurational patterns. The findings provide practical implications educational design, emphasising need balance system reliability aesthetic appeal accounting individual differences user traits.

Language: Английский

Citations

0
How non-Muslim tourists experience halal tourism in Lombok, Indonesia DOI
Muaidy Yasin, Muhammad Azizurrohman, Lalu Edy Herman

et al.

Current Issues in Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: May 26, 2025

Language: Английский

Citations

0
Exploring Factors Influencing Continuance Intention of Pre-Service Teachers in Using Generative Artificial Intelligence DOI
Wennan Zheng, Zhiji Ma, Jingwen Sun

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Dec. 4, 2024

Generative Artificial Intelligence (GAI) holds significant potential to enhance pre-service teacher professional development. However, research has primarily focused on initial acceptance, neglecting post-acceptance behaviours, particularly the factors influencing continued GAI use among teachers. To address this gap, study extends an Expectation-Confirmation Model (ECM) include information quality and AI self-efficacy as additional determinants. Using partial least squares structural equation modelling (PLS-SEM) approach, we analysed data from 506 Chinese Findings reveal that positively impacts perceived usefulness expectation confirmation, both of which satisfaction. Together with self-efficacy, these elements emerged key predictors intention continue using GAI, most direct factor. Contrary hypothesis, personal major did not moderate relationships. This contributes a deeper understanding behaviours motivations teachers post-GAI adoption, offering new insights into sustained development integration in education.

Language: Английский

Citations

1
Analysis of Social Commerce Success Using the Expectation Confirmation Model (ECM) Method DOI

Linda Perdana Wanti,

Andesita Prihantoro

Journal of Multimedia Trend and Technology., Journal Year: 2024, Volume and Issue: 3(3), P. 183 - 192

Published: Dec. 15, 2024

The rapid development of social commerce has changed the way consumers shop and interact with brands. However, success platforms cannot be separated from a deep understanding factors that influence consumer satisfaction purchase intentions. This study aims to analyze using Expectation Confirmation Model (ECM) method. ECM is model explains influenced by confirmation their expectations product or service. identifies main problems in commerce, namely uncertainty about quality, transaction security, shopping experiences meet expectations. research method used quantitative approach survey who have shopped through platforms. Data were analyzed descriptive inferential statistical techniques test hypothesis. results showed ease use platform had positive effect on satisfaction. In addition, also repurchase intentions platform. Based these findings, this offers solutions for managers increase These include providing clear accurate information, ensuring improving an easy enjoyable experience.

Language: Английский

Citations

0