Age-friendliness of city, loneliness and depression moderated by internet use during the COVID-19 pandemic.

The purpose of this study was to examine the association between age-friendliness of a city, loneliness and depression moderated by internet use among older people during the coronavirus disease 2019 (COVID-19) pandemic. The survey was from 'The 2020 Survey of Needs Assessment for a Safe Community and Age-Friendly City' in Xinyi District, Taipei, which was conducted by face-to-face interviews with community-based older adults who were aged 65 and above from one district of Taipei City from May to June 2020 (n = 335). Partial least square structural equation modeling and the SPSS PROCESS macro were used for data analysis. Two domains of an age-friendly city (housing and community support and health services) were found to be associated with reduced loneliness, while one (respect and social inclusion) was associated with decreased depression. The age-friendliness of cities mitigates depression through moderator (internet use) and mediation (loneliness) mechanisms. Although some age-friendly domains of the city reduced loneliness and depression directly, the age-friendliness-loneliness-depression mechanism held true only for older adults who used the internet and not for nonusers. Maintaining the age-friendliness of an environment is beneficial to mental health, and internet use is a necessary condition to gain optimum benefits from age-friendly initiatives. Policy suggestions are discussed.

Understanding of guest behavioral intentions in peer-to-peer accommodation sector.

The purpose of this study is to investigate the antecedents of guests' behavioral intentions in Malaysia's peer-to-peer (P2P) accommodation industry. This study focused on the effects of physical and social environment on guest emotions, satisfaction, and subsequently on guest's behavioral intentions towards P2P accommodation. The proposed research framework was developed based on Stimulus-Organism-Response model. Partial Least Square Structural Equation Modeling (PLS-SEM) was used to examine the proposed hypotheses. Data were collected from 476 foreign visitors who stayed at P2P accommodations in Malaysia using online survey. The findings demonstrated that the P2P accommodation's social and physical environment had a positive impact on guest satisfaction and emotions, while both satisfaction and emotions had significant impact on guest behavioral intentions. The findings also extend the applicability of the S-O-R theory in P2P accommodation context. In practice, both the physical and social environments are important stimuli cues to induce favorable level of organism factors, i.e., satisfaction and emotions. While behavioral intentions acted as the response factor in examining visitor' responses towards P2P accommodation. All in all, this study emphasizes how crucial it is to emphasize on the external and internal factors when encouraging positive response in P2P accommodation platforms.

The Importance of Age-Friendly City on Older People's Continuity and Life Satisfaction.

According to continuity theory, successful aging is promoted when older people are able to continue familiar activities as a way to maintain self-identity. The purpose of this study was to examine the importance of both external resources provided by Taipei city and older adults' internal resources in internal and external continuity and life satisfaction. The data were from the 2019 Taipei City Senior Citizen Condition Survey acquired through face-to-face interviews. Only the community-based sample without disability was included in the analysis (n = 1494). Structural equation modeling was used for the analysis. Both internal and external resources significantly promoted internal continuity (physical activity, Internet use, and lifelong learning) and external continuity (work, social connectedness, and social participation), and the effects of personal resources were larger. External continuity was positively related to life satisfaction. The effects of external resources on continuity and life satisfaction were stronger in older women than in older men. Age-friendly cities may provide support for activity continuity and promote well-being for older people. Policy suggestions are discussed.

Exploring Sources of Satisfaction and Dissatisfaction in Airbnb Accommodation Using Unsupervised and Supervised Topic Modeling.

This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation (LDA) and supervised LDA (sLDA) approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation. In particular, the emergence of the topic "guest conflicts" in this study leads to a new direction in future sharing economy accommodation research, which is to study the interactions of different guests in a highly shared environment. The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. The topic correlation analysis reveals that home like experience and help from the host are associated with Airbnb users' revisit intention. We determine attributes that have the strongest predictive power to Airbnb users' satisfaction and dissatisfaction through the sLDA analysis, which provides valuable managerial insights into priority setting when developing strategies to increase Airbnb users' satisfaction. Methodologically, this study contributes by illustrating how to employ novel approaches to transform social media data into useful knowledge about customer satisfaction, and the findings can provide valuable managerial implications for Airbnb practitioners.