The antecedent of citizen intention use of e-government service

The purpose of this study was to integrate citizen perceived value into an expectation- confirmation model (ECM) and to explain citizen intention use of e-government services. After reviewing both ECM and citizen perceived values, integrated models were designed. This study was compared to the basic ECM; this study revealed that the integration of ECM with citizen perceived value can provide a concerted solution to illustrate some factors and how it can influence citizen intention use for e-government services

Affective and Social Factors Influencing the Continuance Intention of Using Social Technology for the Case-based Learning.

The proliferation of social technology poses both a threat and an opportu- nity for the delivery of traditional case method learning in business schools. This paper extends the expectation confirmation model (ECM) to examine the possibility of delivering the case method learning via social technology. Our regression analysis shows that, in addition to affective factors, the social factor of information and knowledge sharing can help improve the accuracy of predicting a student’s continuance intention of using social technology in case method learning. The analysis result leads to theoretical and empirical findings for business schools to consider adopting social technology as the next-generation tool for case method teaching

Expectation-Confirmation Model (ECM) to See Satisfaction and Continued Intention of eLearning (“Cyber”)

The Expectation-Confirmation Model (ECM) has been widely used to test technology adoption by many researchers. This study aims to examine the ECM used for e-learning used at Soegijapranata Catholic University Semarang. The respondents used in this study were Soegijapranata Catholic University students from various study programs, both D3, S1, S2, and S3. The methodology used in this study is to distribute questionnaires to cyber user respondents at Soegijapranata Catholic University, then test the data with statistical tests using Smar PLS, the expected results are models that are compiled based on hypotheses from literature studies as expected. Based on the hypothesis test, it turns out that all the hypotheses that have been prepared can be accepted because all P Value prices are below 5% or 0.05. The results of this study turned out to be a correlation between cyber user satisfaction on the sustainability of cyber use in the future

Pengaruh Shopee Games Terhadap Loyalitas Pengguna Shopee Dengan Menggunakan Expectation-Confirmation Model (ECM)

Tujuan penelitian ini dilakukan yaitu untuk menganalisis berbagai faktor yang dapat menjadi pengaruh terhadap loyalitas pengguna dalam menggunakan Shopee Games. Pada penelitian ini digunakan metode kuantitatif dengan teknik purposive sampling dalam pengumpulan responden. Jumlah data sampel yang dikumpulkan sebanyak 407 dan dilakukan metode analisis data menggunakan SEM-PLS. Model penelitian yang digunakan adalah Expectation Confirmation Model (ECM). Terdapat empat belas hipotesis yang diajukan penelitian ini. Namun adanya beberapa faktor, peneliti harus menghapus dua variabel yaitu variabel NV dan UV. Setelah peneliti menghapus dua variabel, terdapat delapan hipotesis yang tersisa dengan hasil tujuh hipotesis diterima dan satu hipotesis di tolak. Ketujuh hipotesis yang diterima yaitu trendiness memiliki pengaruh positif signifikan terhadap hedonic value Shopee, intimacy memiliki pengaruh positif signifikan terhadap hedonic value Shopee, hedonic value memiliki pengaruh positif signifikan terhadap satisfaction Shopee, satisfaction memiliki pengaruh positif signifikan terhadap continuance intention Shopee, hedonic value memiliki pengaruh positif signifikan terhadap loyalty Shopee, satisfaction memiliki pengaruh positif signifikan terhadap loyalty Shopee, continuance intention memiliki pengaruh positif signifikan terhadap loyalty Shopee. Adapun satu hipotesis yang ditolak adalah entertainment memiliki pengaruh negatif tidak signifikan terhadap hedonic value Shopee

User’s Continuance Intentions of Digital Payment Based on Expectation-Confirmation Method and Trust

Since the Covid-19 pandemic entered Indonesia in 2020, people have started to switch from cash/traditional payments to digital payments with aim to reduce direct physical contact. Digital payment that currently booming is Qris payment method, which offer convenience and speed in transactions. This study aims to look at user continuance intention on using digital payments using the Expectation-Confirmation Model (ECM) approach. In this volatility, uncertainty, complexity, and ambiguity (VUCA) era, this study adapt the concept of trust in technology adoption. Based on the literature study that has been collected, researchers obtain several variables that can influence user intentions to continue using digital payments, including: confirmation, perceived usefulness, satisfaction, information quality, perceived privacy protection and security, trust, and continuance intention

Exploring the Determinants of e-Commerce by Integrating a Technology–Organization–Environment Framework and an Expectation–Confirmation Model

An increasing number of lodging businesses utilize online third-party intermediaries (OTPIs) for distribution services on the internet. The purpose of the study was to investigate the decision-making processes of lodging firms in the adoption of OTPIs. The study developed and tested a conceptual model by strategically combining a technology–organization–environment framework (TOE) and an expectation–confirmation model (ECM). The results showed that, with regard to TOE, technology and organization have significant impacts on confirmation in ECM. Furthermore, the environment aspect of TOE significantly influences satisfaction in ECM, and both confirmation and satisfaction are antecedents of continuance intention. The study contributes to the knowledge body of TOE and ECM, and provides industry practitioners with strategies for the communications and decision-making processes of lodging businesses and OTPIs

Influence of Personality Traits on the Continued Use of Fitness Apps

While fitness apps show promise to improve people’s health and well-being, studies have indicated a high dropout rate among their users. This study uses the expectation confirmation model (ECM) to examine post-adoption factors affecting continued use or dropout among users of fitness apps, with a specific focus on the impact of users’ personality traits (the “big five” traits) on the ECM model variables. We present our theoretical model and the results of our survey with 129 participants. We confirm that satisfaction, perceived usefulness, and confirmation of expectations resulting from use of fitness apps influence the continued use of the apps. Moreover, we show that conscientiousness and neuroticism, as traits, positively influence perceived usefulness. This study increases our understanding of the factors impacting continued use of fitness app

Measuring the impact of enjoyment on the usage continuance intention

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRMThis study examines the behavioural intentions of video-on-demand (VoD) consumers to continue using the service and further examines the influence of enjoyment over the intention to continue to use. To explore the usage continuance, we adopt the expectation confirmation model (ECM) for information technology and integrate it with the hedonic system adoption model. Specifically, we measure the influence of enjoyment over the behavioural intention to continue to use. The results suggest that satisfaction is the greatest predictor of the usage continuance intention and enjoyment strongly impacts satisfaction. In fact, our model explains 48.1% of the variance of the usage continuance and 53.8% of the satisfaction