The influence of personality on user satisfaction: multi-tenant offices

\u3cp\u3eMany different multi-tenant offices have arisen over the last decades, as building owners address the changing nature of the workplace–a need for users to share facilities. However, the existing literature on multi-tenant buildings from the point of view of user satisfaction is scarce, limiting input for user-centred design. This study analyses the influence of personality on user satisfaction with multi-tenant office characteristics. Data were collected through a questionnaire distributed among users of 17 different multi-tenant offices (business centres, incubators serviced offices and co-working places), which yielded 190 respondents. To determine the effects of personal characteristics, a multiple regression model was performed per office variable category. Results showed that users who are more extraverted, open to new experiences and more agreeable were overall more satisfied with the multi-tenant office characteristics. However, the effects of demographics and work-related characteristics were much larger. Men, older users and users working in an open and flexible work environment were overall more satisfied with the office characteristics. Owners, developers and managers can use these results for developing user-centred designs, optimizing the level of satisfaction in their offices.\u3c/p\u3

Personality and user satisfaction in multi-tenant offices

Purpose: Many different multi-tenant office types have arisen over the last decades, because owners/managers address the need of users to share facilities with other (small) organisations. However, existing literature on multi-tenant buildings from the point of view of end-user satisfaction is scarce, limiting input for user-centred design. Therefore, the aim of this study is to analyse the influence of personality on end-user satisfaction with multi-tenant office characteristics.\u3cbr/\u3eDesign/methodology/approach: Data was collected through a questionnaire on usersatisfaction with 10 categories (containing 42 characteristics) of multi-tenant office variables and the Big Five personality traits. This was distributed in 17 different multi-tenant offices and yielded 190 respondents. \u3cbr/\u3eFindings: To determine the effect of personality a multiple regression model was performed per office variable category. Results showed that users who are extravert, open to experience and agreeable were more satisfied with 'office décor', 'seclusion rooms', 'washroom facilities',\u3cbr/\u3e'flexible workplaces' and 'privacy'. Only end-user satisfaction with ‘entrée and atrium’, ‘ICT/equipment’ and ‘indoor climate’ was not affected by personality. Originality/value: Owners, developers and managers can use these results for developing user-centred designs, to optimise the level of satisfaction and to increase the well-being in their offices. This should decrease vacancy problems. This study also started building theory\u3cbr/\u3eon end-user satisfaction in multi-tenant buildings, which could be further developed by studies with larger samples in different countries

On the subjective quality of social Interactions:Influence of neighborhood walkability, social cohesion and mobility choices

Contemporary research in the field of transportation is paying due attention to the geography and composition of personal social networks. However, still little is known about the quality of social interactions, although arguably the subjective quality of social interaction is more important for individuals’ quality of social life than the quantity of it. It is, therefore, important to gain insight in the subjective aspects of social activities in addition to the objective aspects. To that end, this study summarizes empirical evidence of factors that make a particular social interaction valuable. Value or the quality of social interactions is measured by individual’s subjective evaluation of the importance of social interactions. Based on social interaction diary data collected in 2014, two analyses were conducted - a negative binomial regression model to predict the number of (very) important face-to-face interactions per individual, and a two-level ordinal logit model to predict the importance of each interaction. Explanatory variables were individuals’ personal, neighborhood and mobility characteristics. Results suggest that neighborhood and mobility characteristics are important in explaining the quality of social interactions. Frequency of important social interactions is positively associated with frequency of walking or cycling. The frequency of important social interactions was also found to be higher for people living in neighborhoods with higher levels of perceived social cohesion and walkability, and lower for people living in rural areas, in neighborhoods with higher percentages of older residents and in neighborhoods with higher percentages of ethnic minorities. Policymakers, urban planners and decision makers should therefore aim to increase walkability and neighborhood social cohesion, with due attention to neighborhoods with high percentages of elderly and immigrant population