Putu Wuri Handayani’s research while affiliated with University of Indonesia and other places

A service failure occurs when a service provider cannot meet user expectations, and a failure to meet customer expectations can reduce user satisfaction, resulting in complaints. Based on this, this study aims to analyze the influence of aspects of chatbots on consumer forgiveness that influence continuance intentions for service recovery in e-health. We obtained quantitative data from questionnaires filled out by 338 respondents and qualitative data from interviews with 30 informants. The quantitative data obtained was processed using a covariance-based structural equation model, while the qualitative data were processed using the content analysis method. This study shows that anthropomorphism and transparency influence chatbot trustworthiness and that two dimensions of trustworthiness (ability and integrity) influence consumer forgiveness. In addition, consumer forgiveness has a significant effect on users’ continuance intentions. Positive politeness and another dimension of trustworthiness—benevolence—did not significantly affect customer forgiveness. The results of this study are expected to provide input for e-health service providers, especially developers, regarding the aspects of chatbots that should be present in handling service recovery.

Subscription video-on-demand (SVoD) platforms have become popular among football fans in Indonesia. This study aims to analyze the factors that influence users’ satisfaction regarding their intention to continue using SVoD to watch football matches. The quantitative data in this study were based on 594 survey responses and were analyzed using the covariance-based structural equation model. The qualitative data obtained in this study were analyzed using the content analysis method. The results of this study indicate that the ease of access anytime and anywhere and the ease of use of SVoD services have a positive effect on users’ perceptions of the value they receive and that the fun and entertainment obtained from SVoD services have a positive effect on matching user expectations. In turn, matching users’ expectations has a positive effect on their views of the services and level of satisfaction, and the level of user satisfaction has a positive effect on their intention to continue subscribing to SVoD services to watch football matches. This research is expected to provide insight for SVoD service providers who broadcast football matches to help evaluate their services and improve users’ intentions to continue using the service.

Health data governance is essential for optimal processing of data collection, sharing, and reuse. Although the World Health Organization (WHO) has proposed practical guidelines for managing health data during the pandemic, the Organization for Economic Cooperation and Development (OECD) found that many countries still lack the use of health data for decision-making. Therefore, this research aimed to identify and assess the challenges faced by health organization in implementing health data governance from various countries based on research articles. The challenges were assessed based on key components of health data governance from practitioner and scientist perspectives. These components include stakeholder, policy, data management, organization, data governance maturity assessment, and goals. The method used followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for collecting and reporting. Data were collected from several databases online with large repositories of academic studies, including IEEE Xplore, ScienceDirect, National Library of Medicine, ProQuest, Taylor and Francis Group, Scopus, and Wiley Online libraries. Based on the 41 papers reviewed, the results showed that policy was found to be the biggest challenge for health data governance. This was followed by data management such as quality, ownership, and access, as well as stakeholders and data governance organization. However, there were no challenges regarding maturity assessment and data governance goals, as the majority of research focused on implementation. Policy and policymaker awareness were identified as major components for the implementation of health data governance. To address challenges in data management and governance organization, creating committees focused on these components proved to be an effective solution. These results provided valuable recommendations for regulators and leaders in a healthcare organization to optimally implement health data governance.

The high maternal mortality rate in Indonesia has led the Indonesian government to develop a mobile application for maternal and child health (MCH). However, this application received a bad rating on the applications distribution platform, and even some of its features could not function properly. Therefore, this study aims to design the MCH application. This study used the user-centered design (UCD) methodology with three iterations and applied Shneiderman's eight golden rules. Participants involved in the data collection and evaluation process were health workers, health experts, and pregnant women. The first iteration's evaluation will produce a low-fidelity prototype (wireframe), whereas the second and third iteration's evaluations will produce a refined high-fidelity clickable prototype. The resulting prototype has several major features, including notes entry, information and education, reminders, a blood supplement tablet tracker, and monitoring of fetal development. Evaluation in the first iteration utilized interviews to validate the wireframe, whereas the second and third iterations utilized usability testing and system usability scale (SUS). In the second iteration, the final SUS score was 71.2, or "good," while in the third iteration, the final SUS score was 85.4, or "excellent." This research is expected to contribute to two areas: serving as a reference for pregnancy application interface designs, especially for MCH applications, as well as the improvement and development of pregnancy health applications using the UCD methodology.

BACKGROUND As social media platforms gain popularity, their usage is increasingly associated with cyberbullying and body shaming, causing devastating effects. OBJECTIVE This study aims to investigate the impact of social media on Generation Z users’ body image satisfaction. More specifically, it examines the impact of TikTok on body image satisfaction among TikTok users between the ages of 17 and 26 in Indonesia. METHODS The methodology used mixed-method approaches. Quantitative data were obtained from 507 responses to a questionnaire and analyzed using covariance-based structural equation modeling. Qualitative data were obtained from the interviews of 32 respondents and analyzed through content analysis. RESULTS The study reveals that upward appearance comparison is influenced by video-based activity and appearance motivation. Conversely, thin-ideal internalization is influenced by appearance motivation and social media literacy. Upward appearance comparisons and thin-ideal internalization comparisons detrimentally impact users’ body image satisfaction. CONCLUSIONS The results of this study are expected to provide valuable insights for social media providers, regulators, and educators in their endeavors to establish a positive and healthy social media environment for users.

Background As social media platforms gain popularity, their usage is increasingly associated with cyberbullying and body shaming, causing devastating effects. Objective This study aims to investigate the impact of social media on Generation Z users’ body image satisfaction. More specifically, it examines the impact of TikTok on body image satisfaction among TikTok users aged between 17 years and 26 years in Indonesia. Methods The methodology used mixed-method approaches. Quantitative data were obtained from 507 responses to a questionnaire and analyzed using covariance-based structural equation modeling. Qualitative data were obtained from the interviews of 32 respondents and analyzed through content analysis. Results This study reveals that upward appearance comparison is influenced by video-based activity and appearance motivation. Conversely, thin-ideal internalization is influenced by appearance motivation and social media literacy. Upward appearance comparisons and thin-ideal internalization comparisons detrimentally impact users’ body image satisfaction. Conclusions The results of this study are expected to provide valuable insights for social media providers, regulators, and educators in their endeavors to establish a positive and healthy social media environment for users.

BACKGROUND As social media platforms gain popularity, their usage is increasingly associated with cyberbullying and body shaming, with devastating effects. OBJECTIVE This study proposes to analyze the influence of social media on Generation Z users' body image satisfaction. More specifically, it examines the impact of TikTok on body image satisfaction among TikTok users between the ages of 17 and 26 in Indonesia. METHODS The research methodology uses the Tripartite Influence Model and considers photo-based activity, appearance motivation, and social media literacy as trigger factors. The methodology combines quantitative and qualitative approaches. Quantitative data are obtained from 507 responses to a questionnaire and analyzed with covariance-based structural equation modeling. Qualitative data are obtained from the interviews of 32 respondents and analyzed with content analysis. RESULTS The study finds that upward appearance comparison is influenced by photo-based activity and appearance motivation. In contrast, thin-ideal internalization is influenced by appearance motivation and social media literacy. Upward appearance comparisons and thin-ideal internalization comparisons harm users' body image satisfaction. CONCLUSIONS The results of this study are expected to contribute to social media providers, regulators, and educators' efforts to create a healthy social media environment for users.

Aim/Purpose: This study aims to analyze the factors that influence user addiction to AR face filters in social network applications and their impact on the online social anxiety of users in Indonesia. Background: To date, social media users have started to use augmented reality (AR) face filters. However, AR face filters have the potential to create positive and negative effects for social media users. The study combines the Big Five Model (BFM), Sense of Virtual Community (SVOC), and Stimuli, Organism, and Response (SOR) frameworks. We adopted the SOR theory by involving the personality factors and SOVC factors as stimuli, addiction as an organism, and social anxiety as a response. BFM is the most significant theory related to personality. Methodology: We used a quantitative approach for this study by using an online survey. We conducted research on 903 Indonesian respondents who have used an AR face filter feature at least once. The respondents were grouped into three categories: overall, new users, and old users. In this study, group classification was carried out based on the development timeline of the AR face filter in the social network application. This grouping was carried out to facilitate data analysis as well as to determine and compare the different effects of the factors in each group. The data were analyzed using the covariance-based structural equation model through the AMOS 26 program. Contribution: This research fills the gap in previous research which did not discuss much about the impact of addiction in using AR face filters on online social anxiety of users of social network applications. Findings: The results of this study indicated neuroticism, membership, and immersion influence AR face filter addiction in all test groups. In addition, ARA has a significant effect on online social anxiety. Recommendations for Practitioners: The findings are expected to be valuable to social network service providers and AR creators in improving their services and to ensure policies related to the list of AR face filters that are appropriate for use by their users as a form of preventing addictive behavior of that feature. Recommendation for Researchers: This study suggested other researchers consider other negative impacts of AR face filters on aspects such as depression, life satisfaction, and academic performance. Impact on Society: AR face filter users may experience changes in their self-awareness in using face filters and avoid the latter’s negative impacts. Future Research: Future research might explore other impacts from AR face filter addiction behavior, such as depression, life satisfaction, and so on. Apart from that, future research might investigate the positive impact of AR face filters to gain a better understanding of the impact of AR face filters.