PENGARUH KEBIASAAN, MANFAAT YANG DIRASAKAN, DAN KEMUDAHAN YANG DIRASAKAN TERHADAP NIAT PENGGUNAAN BERKELANJUTAN APLIKASI GOJEK DI WILAYAH DKI JAKARTA

Fitri Azhari. Pengaruh Kebiasaan, Manfaat yang Dirasakan, dan Kegunaan yang Dirasakan Terhadap Niat Penggunaan Berkelanjutan Aplikasi Gojek di Wilayah DKI Jakarta. Skripsi, Jakarta: Program Studi Pendidikan Bisnis, Fakultas Ekonomi, Universitas Negeri Jakarta. 2020. Penelitian ini dilakukan di Wilayah DKI Jakarta selama kurang lebih 3 (tiga) bulan, yaitu terhitung mulai dari bulan Mei sampai dengan bulan Juli 2020. Penelitian ini bertujuan untuk mengetahui Pengaruh antara Kebiasaan, Manfaat yang Dirasakan, Kemudahan yang Dirasakan terhadap Niat Penggunaan Berkelanjutan Aplikasi Gojek di Wilayah DKI Jakarta. Metode penelitian yang digunakan adalah metode survei. Populasi yang digunakan dalam penelitian ini adalah masyarakat yang berdomisili di wilayah DKI Jakarta dengan sampel penelitian yaitu masyarakat berdomisili di wilayah DKI Jakarta, telah menggunakan aplikasi Gojek minimal 3 (tiga) kali dalam 6 (enam) bulan terakhir, dan berusia 20-30 tahun. Teknik sampling yang dipilih oleh Peneliti adalah Purposive Sampling dengan sampel sejumlah 200 orang. Fitri Azhari. The Influence of Habit, Perceived Usefulness, Perceived Ease of Use. Thesis, Jakarta: Business Education Study Program, Faculty of Economics, State University of Jakarta. 2020. This research was conducted in the Region of DKI Jakarta for approximately 3 (three) months, which is calculated from May to July 2020. This study aims to determine the Influence of Habits, Perceived Usefulness, Perceived Ease of Use Towards Continuance Usage Intention of Gojek Application in the Region of DKI Jakarta. The research method used is a survey method. The population used in this study are people who live in the DKI Jakarta area with the research sample, namely people who live in the DKI Jakarta area, have used the Gojek application at least 3 (three) times in the last 6 (six) months, and are 20-30 years old. The sampling technique chosen by the researcher is purposive sampling with a sample of 200 people

Analisis Kualitas Layanan Terhadap Niat Perilaku Pengguna Gopay Di Universitas Muhammadiyah Surakarta

This study aims to analyze the effect of service quality on behavioral intentions mediated by perceived usefulness, perceived ease of use, and attitudes of use. This study uses a sample of 100 people with the criteria of GoPay users at Muhammadiyah University of Surakarta. The sample selection method used purposive sampling based on the respondent's criteria that had been determined by the researcher. The data analysis method used is SEM-PLS analysis with the help of SmartPLS 3.0. The results showed that all variables had a significant positive effect, namely service quality on perceived usefulness, service quality on perceived ease of use, service quality on user attitudes, perceived usefulness on attitudes of use, perceived ease of use on attitudes of use, attitudes on behavioral intentions. The mediating variable also has a significant positive effect, namely perceived usefulness mediating service quality on attitude of use, perceived ease of use mediating service quality on attitude of use, attitude of use mediating service quality on behavioral intentions, attitude of use mediating perceived usefulness on behavioral intentions, attitude of use mediating perceived ease of use on behavioral intentions

How Does the Overall Perceived Platform Quality Affect Consumers\u27 Willingness to Pay for Online Health Platform? A Perspective of Updated IS Success Model

How to motivate patients to purchase paid online health platform is important to the profitability of a platform operator. Based on updated IS success model, this paper establishes a research model to investigate the effects of perceived platform quality (including platform service quality, information quality and system quality) and consultation service quality (including consultation service benefit and consultation service risk) on consumers\u27 willingness to pay (WTP). Using SPSS and Smart PLS, we analyzed 409 data from an online health service platform in China. The results showed that perceived platform quality and consultation service benefit were positively correlated with consumers\u27 WTP. Conversely, consultation service risk affected consumers\u27 WTP negatively. Our study promotes the research from consumers\u27 using intention to consumers\u27 willingness to pay, as well as provides a guideline to help operators of online health platforms improve user payment rates

Users’ Intention to Use Mobile Health Applications for Personal Health Tracking

This study aimed to analyze factors influencing the intention to use mobile health applications for personal health tracking (PHT). The respondents were 516 individuals who had used a PHT application, such as Samsung Health, iOS Health, or MiFit. Data processing was done via using partial least squares–structural equation modeling (PLS-SEM). This study uncovered factors that can affect intention to use PHT applications, including perceived usefulness, social influence, facilitating conditions, hedonic motivation, habits, performance risk, and self-health awareness. It was found that perceived ease of use and self-reported health condition do not affect the intention to use PHT applications. This study can provide guidance on PHT application service providers for ensuring data accuracy, increasing user satisfaction when using the applications, and preventing privacy violation

Effect of emotions and personalisation on cancer website reuse intentions

The effect of emotions and personalisation on continuance use intentions in online health services is underexplored. Accordingly, we propose a research model for examining the impact of emotion- and personalisation-based factors on cancer website reuse intentions. We conducted a study using a real-world NGO cancer-support website, which was evaluated by 98 participants via an online questionnaire. Model relations were estimated using the PLS-SEM method. Our findings indicated that pre-use emotions did not significantly influence perceived personalisation. However, satisfaction with personalisation, and perceived usefulness mediated by satisfaction, increased reuse intentions. In addition, post-use positive emotions potentially influenced reuse intentions. Our paper, therefore, illustrates the applicability of theory regarding continuance use intentions to cancer-support websites and highlights the importance of personalisation for these purposes

Examining Individuals’ Ads Click Intention in the Wechat Moments: A Lens of Elaboration Likelihood Model

Drawing upon elaboration likelihood model (ELM), we compared the dual routesin determining users’ ads click intentions and examined the mediation mechanism of cognitive vs. affective trust on the influence processesin the Wechat Moments. A scenario-based survey was conducted in a university of China, and 183 data was collected. Structural equation modelling analysis was used to test the research model. The empirical results suggestedthat content personalization and social recommendation weresignificant antecedents of ads click intention, and their effects weremediated by cognitive trust and affective trust. Moreover, amulti-group analysis indicatedthat the two influence processes weremoderated by prior product experience. Theoretical and practical implications areillustrated in the final section

User Privacy Protection Behavior And Information Sharing In Mobile Health Application

The use of mobile health applications provides a convenient platform to the healthcare sector for conducting self-health monitoring, efficient consultation, health goals achievement, customer’s information data storage, and others. There are growing concerns about privacy in mobile health platforms, particularly when highly sensitive health data is involved. Sharing personal information in mobile health applications does bring risks to the users, which might lead to the leaking of confidential information, and misuse of information. Due to this, protecting one’s information has become essential when using the platform. Therefore, this paper aims to investigate the influence of users’ privacy protection behavior in shaping users’ willingness in sharing information in mobile health applications. This paper adopted a quantitative methodology where data from a survey (N=200) of mobile health application users is analyzed. This study proposed a model that offers understandings on which users’ privacy protection factors could stimulate users to share their information in a mobile health platform. Based on the results, this study concluded that response efficacy has the highest influence on information sharing, followed by vulnerability, self-efficacy, and perceived susceptibility-medical info. The proposed model may benefit other researchers attempting to understand user standpoint’s on data privacy compliance in mobile health application and increase user awareness in the research area

Predicting students’ continued intention to use E-learning platform for college English study: the mediating effect of E-satisfaction and habit

Using technology in education facilitates knowledge dissemination expediently while broadening and deepening learning modes and content diversity. As an information technological innovation, E-learning platform is widely used to learn college English. However, few studies have explored the motivations for students’ e-satisfaction and continued intention towards using it for college English study. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study identifies the influencing factors for the continued usage intention and tests the mediating role of e-satisfaction and habit. Six hundred and twenty-six usable responses from Guangxi were analyzed with partial least squares structural equation modelling. Results show that performance expectancy, learning value, hedonic motivation and habit positively affects students’ continued usage intention, e-satisfaction positively mediates the relationship between the antecedents and continued usage intention, and habit positively mediates the relationship between e-satisfaction and continued usage intention. The research provides guidelines for the successful implementation of e-learning platform for college English study and key references for improvement of students’ engagement and satisfaction experience with using e-learning platform for college English study

Comparing the Effects of User Generated Video Reviews and Brand Generated Advertisements on Consumer Decisions on YouTube

This empirical study examines the effects of user generated vlogs (UGV) versus brand generated ads (BGA) on consumer decisions on YouTube. UGV refers to any type of review video content about brands or products, created and published by users on YouTube. BGA refers to brand generated advertisements on YouTube. Guided by the elaboration likelihood model of persuasion, this online experimental research involved a 2 (source: UGV versus BGA) X 2 (involvement: high versus low) X 2 (gender: male versus female) between-subjects research design. Results showed that UGV elicited significantly greater effects on consumer brand attitudes and purchase intentions than BGA, when involvement was high. No significant gender differences were observed. In a constantly growing YouTube influencer economy, this study offers important theoretical and managerial implications

Understanding antecedents of continuance and revisit intentions: The case of sport apps

Prior studies have investigated the antecedents of sport application (Sapp) adoption, but few researchers have concentrated on attitudinal, cognitive and behavioural factors’ effects on users’ continuance intention (CI) and revisit intention (RI). This study focused on the Sapp CI antecedents of use intensity and commitment to – and competence and satisfaction with – these tools. Analyses using structural equation modelling were conducted with data on 362 Sapp users from Malaga, Spain. The results confirm that commitment to and competence with Sapps are positively related to satisfaction and use intensity, which have a positive impact on CI and RIThe research leading to these results has received funding from the PROJECT titled "Unraveling the Consumer Behavior Decision Process on Recommender Systems" in the frame of the program "Ayudas para el Fomento de Proyectos de Investigaci ́on en Ciencias Sociales y Jurídicas, Humanidades, Arquitectura y Bellas Artes en la Universidad de M ́alaga" under the Grant agreement number B3-2022_08 Funding for open access charge: Universidad de Málaga / CBU