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This study aims to investigate the factors influencing public servants’ anxiety and general public’s opposition toward the implementation of digital participatory platforms (DPPs) and municipal digital transformation (DX) in Japan. By addressing these factors, the research seeks to provide insights for policymakers to facilitate smoother transitions to digital governance and increase public acceptance and engagement.

The study uses surveys conducted with both general public and public servants. The surveys were designed based on previous research and collected data through Web-based questionnaires. General public’s data were collected from 366 valid responses over four days in July 2022, while public servants’ data were gathered from 197 valid responses over eight days. Statistical analysis was used to identify key factors influencing anxiety and opposition.

Public servants’ anxiety is influenced by self-perceived creativity, openness to innovation, international collaborations, work-life balance and gender equality reforms. The general public’s opposition stems from dissatisfaction with current digital tools, social media use and political engagement. Both groups could benefit from targeted training, improved usability and inclusive engagement strategies.

The findings suggest that targeted training to enhance public servants’ creativity and digital literacy, fostering an innovative organizational culture and promoting work-life balance can reduce anxiety about DPPs. For general public, improving the usability of digital tools, engaging them in the design process and leveraging social media for communication and feedback can increase acceptance of digital initiatives.

Understanding the concerns of both public servants and general public regarding DX can lead to more inclusive and effective governance. By addressing these concerns, policymakers can foster greater public trust and engagement, ultimately enhancing the effectiveness and transparency of municipal governance.

This study provides a comprehensive analysis of the factors contributing to resistance to DX in public governance. By examining both public servants’ and general public’ perspectives, it offers valuable insights for designing and implementing strategies to facilitate smoother transitions to digital participatory governance.

The purpose of this research is to investigate the role of social media in supporting the psychological well-being of young expatriates.

The study adopts a qualitative research design based on semi-structured interviews with Gen Z expatriates who are active social media users.

This study reveals social media’s pivotal role in enhancing Gen Z expatriates’ psychological well-being. It fosters virtual connections to their home country, validating their distinctive international experiences, facilitating integration into the host culture and challenging stereotypes. By developing bonding and bridging social capital, social media mitigates cultural distance, strengthens social support and ultimately contributes to positive expatriate well-being.

This research responds to the growing call for studies on the intersection of digitalization and expatriation, offering insights into how digital tools can enhance the well-being of expatriates. By developing a conceptual model grounded in social media and expatriate support literature, this research highlights the specific mechanisms through which social media impacts the psychological well-being of Gen Z expatriates, a previously under-researched area. While physical support is limited by geographical proximity and shared experiences, digital support can transcend these boundaries, providing access to a wider range of resources and perspectives. By focusing on Gen Z, a generation known for its digital fluency and reliance on social media, we provide insights that can inform targeted interventions and support strategies specifically tailored to this demographic.

This paper aims to investigate user voice-switching behavior in voice assistants (VAs), embodiments and perceived trust in information accuracy, usefulness and intelligence. The authors addressed four research questions: RQ1. What is the nature of users’ voice-switching behavior in VAs? RQ2: What are user preferences for embodied voice interfaces (EVIs), and do their preferred EVIs influence their decision to switch the voice on their VAs? RQ3: What are the users’ perceptions of their VAs concerning: a. information accuracy, b. usefulness, c. intelligence and d. the most important characteristics they must possess? RQ4: Do users prefer their voice interface to match their characteristics (age, gender, accent and race/ethnicity)?

The authors used a 52-question survey questionnaire to collect quantitative and qualitative data. The population was undergraduate students (freshmen and sophomores) at a research university in the USA. The students were enrolled in two required courses with a research participation assignment offered for credits. Students must register for research participation credits in the SONA Research Participation System www.sona-systems.com/platform/research-management/ Registered students cannot be invited or sampled to participate in a research study. There were 1,700 students enrolled in both courses. After the survey’s URL was posted in SONA, the authors received (n = 632) responses. Of these, (n = 150) completed the survey and provided valid responses.

Participants (43%) switched the voice interface in their VAs. They preferred American and British accents but trusted the latter. The British accent with a male voice was more trusted than the American accent with a female voice. Voice-switching decisions varied in the case of most and least preferred EVIs. Participants preferred EVIs that matched their characteristics. Most trusted their VAs’ information accuracy because they used the internet to find information, reflecting inadequate mental models. Lack of trust is attributed to misunderstanding requests and inability to respond accurately. A significant correlation was found between the participants’ perceived intelligence of their VAs and trust in information accuracy.

Due to the wide variability in the data (e.g. 84% White, 6% Asian and 6% Black), the authors did not perform a statistical test to identify the significance between the selected EVIs and participants’ races or ethnicities. The self-reported survey questionnaire may be prone to inaccuracy. The participants’ interest in earning research credit for participation in this study and using SONA is a potential bias. The EVIs the authors used as embodiments are limited in their representation of people from diverse backgrounds, races, ethnicities, ages and genders. However, they could be examples for building prototypes to test in VAs.

Educators and information professionals should lead the way in offering artificial intelligence (AI) literacy programs to enable young adults to form more adequate mental models of VAs and support their learning and interactions. VA designers should address the failures and other issues the participants experienced in VAs to minimize frustrations. They should also train machine learning models on large data sets of complex queries to augment success. Furthermore, they should consider augmenting VAs’ personification with EVIs to enrich voice interactions and enhance personalization. Researchers should use a mixed research method with data triangulation instead of only a survey.

There is a dire need to teach young adults AI literacy skills to enable them to build adequate mental models of VAs. Failures in VAs could affect users’ willingness to use them in the future. VAs can be effective teaching and learning tools, supporting students’ autonomous and personalized learning. Integrating EVIs with diverse characteristics could advance inclusivity in designing VAs and support personalization beyond language, accent and gender.

This study advances research on user voice-switching behavior in VAs, which has hardly been investigated in VA research. It brings attention to users’ experiential learning and the need for exposure to AI literacy to enable them to form adequate mental models of VAs. This study contributes to research on personifying VAs through EVIs with diverse characteristics to visualize voice interactions. Reasons for not switching the voice interface due to satisfaction with the current voice or a lack of knowledge of this feature did not support the status quo theory. Incorporating satisfaction and lack of knowledge as new factors could advance this theory. Switching the voice interface to avoid visualizing the least preferred EVIs in VAs is a new theme emerging from this study. Users’ trust in VAs’ information accuracy is intertwined with perceived intelligence and usefulness, but perceived intelligence is the strongest factor influencing trust.