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Telepresence robots have gained prominence as a novel technological modality for mobile videoconferencing. Although the technology has mass appeal in the realm of telehealth and patient–health provider communication, its integration in community living settings for older adults has not been extensively studied. The aim of this study was to gather the perspectives of residents, trainers and staff at a retirement facility on their experience with a telepresence robot during and following a five-week wellness program.

The study employed semi-structured interviews with ten stakeholders who were involved in the wellness program followed by a qualitative content analysis of the data. The Unified Theory of Acceptance and Use of Technology served as the interview framework to explore the facilitators and barriers to the implementation of the robot.

Independent coding of the data by the study investigators identified discrete as well as interconnected categories among the stakeholders. Residents expressed their changing ideation of the robot, affinity toward the technology, preference for human connection and future value. Perspectives of the trainers, the fellow residents (ambassadors) and staff pertained to their need for increased engagement, growing comfort with the technology, usability challenges and importance of coordination and training.

Older adults' outlook and comfort with telepresence robots improve with continuing exposure to the technology for healthcare and social connectivity needs. However, in-person care is also preferred initially and periodically to engage with their health providers meaningfully and effectively via the robot. To address long term feasibility and usability, the authors propose a hierarchical approach when integrating telepresence robots in community living facilities for older adults. Information technology education, staff training and reliable internet connectivity are the precursors to optimizing the value and perceived usefulness of the technology.

This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system encompassing both conventional and Islamic loans. The primary objective is to develop a transformative housing finance model that addresses affordability challenges and reshapes the Malaysian housing landscape.

The study presents an alternate housing finance model for Malaysia, integrating lower monthly payments and reduced household debt. Key variables include house price appreciation rates, interest rates, initial guarantee fees and loan-to-value ratios. Inspired by the Help to Buy (HTB) scheme, the model aligns with proven global initiatives for enhanced affordability, balancing payment amounts, loan interest rates and acceptable price thresholds.

The study’s findings promise to address affordability disparities and reshape Malaysia’s housing finance landscape. The emphasis is on introducing a structured repayment plan that offers a sustainable path to homeownership, particularly for low-income families. Incorporating the future value adaptation concept, inspired by reverse mortgages and Islamic finance, enhances adaptability, ensuring long-term sustainability despite economic shifts.

The proposed model promotes widespread access to homeownership, offering practical solutions for policymakers to improve affordability, prompting adaptable risk management strategies for financial institutions and empowering potential homebuyers with increased flexibility.

The study introduces a transformative housing finance model for Malaysia, merging elements from reverse mortgages, Islamic finance and the HTB scheme, offering potential applicability to similar systems globally.

This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies.

This study considers Chinese universities’ public opinion events on the Weibo platform as the research object. It collects online comments on Chinese universities’ network public opinion governance strategy texts on Weibo, constructs the sentiment index based on sentiment analysis and evaluates the effectiveness of the network public opinion governance strategy adopted by university officials.

This study found the following: First, a complete information release process can effectively improve the effect of public opinion governance strategies. Second, the effect of network public opinion governance strategies was significantly influenced by the type of public opinion event. Finally, the effect of public opinion governance strategies is closely related to the severity of punishment for the subjects involved.

The theoretical contribution of this study lies in the application of image repair theory and strategies in the field of network public opinion governance, which further broadens the scope of the application of image repair theory and strategies.

This study expands online user comment research to network public opinion governance and provides a quantitative method for evaluating the effect of governance strategies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0269