Personality and location-based social networks

Chorley, Martin; Whitaker, Roger M.; Allen, Stuart M.

doi:10.1016/j.chb.2014.12.038

Cited by 110 publications

(65 citation statements)

References 43 publications

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“…Indeed, one may even argue that the social and spatial dimensions of urban life are always correlated (Casey, 2001) 2 while SNA is not preoccupied with the accounting of physical location, nor is it precluded from doing so. In fact, there is an expanding literature on the analysis of location-and-activity-based two-mode social networks, which has emerged as an extension toof the conventional social group based one-mode SNA (Faust, 1997;Borgatti, 2010;Chorley et al, 2015;Pelechrinis and Krishnamurthy, 2016). The methodological framework used in our study builds directly upon this important recent progress in the intellectual field of SNA.…”

Section: Segregation With Chinese Characteristicsmentioning

confidence: 99%

Measuring segregation between rural migrants and local residents in urban China: An integrated spatio-social network analysis of Kecun in Guangzhou

Zhao

Wang²

2017

Environment and Planning B: Urban Analytics and City Science

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In this paper, we demonstrate an integrated spatio-social network analysis to measure the degree of segregation within a Chinese urban neighborhood in terms of the everyday activities by rural migrants and local urban residents at such routine venues as restaurants, grocery stores, barber shops, etc. Our data were collected in May 2014, through an integrated geographical and social survey conducted within an inner-city neighborhood around Kecun in south China’s Guangzhou Municipality. Although Kecun features a highly condensed and mixed dwelling pattern between the rural migrants and indigenous urban population, we find that within our sample of 110 local and 132 migrant residents, the former tend to socialize more inwardly with their peer locals and visit neighborhood amenities more often such as pubs, stadia, and public kindergartens. In contrast, the migrants tend to attend local roadside food stalls, outdoor recreation facilities, small clinic shops, grocery malls, and private ( minban) kindergartens more often. Overall, only a modest degree of social interaction between the locals and migrants appears to exist in Kecun. On top of the methodological implications of our study, we argue that urban segregation in China is both socially and spatially different from its Anglo-American counterpart. More empirical research is needed to understand and assess social segregation underlying the everyday urban life in Chinese cities.

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Section: Segregation With Chinese Characteristicsmentioning

confidence: 99%

Measuring segregation between rural migrants and local residents in urban China: An integrated spatio-social network analysis of Kecun in Guangzhou

Zhao

Wang²

2017

Environment and Planning B: Urban Analytics and City Science

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“…Previous work has shown the relevance of personality in relation to technology adoption (Vishwanath, 2005), including adoption of social media (Ross et al, 2009), location-based services (Chorley, Whitaker, & Allen, 2015) or mobile apps (Xu, Frey, Fleisch, & Ilic, 2016). However, scientific literature is scarce when it comes to studies of adoption based on a combination of personality, sociodemographic and Internet use factors.…”

Section: Introductionmentioning

confidence: 99%

Understanding workers’ adoption of productivity mobile applications: a fuzzy set qualitative comparative analysis (fsQCA)

Urueña

Arenas

Nuchera

2018

Economic Research-Ekonomska Istraživanja

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Mobile devices such as smartphones and tablets become more present in our lives every day. Most of these devices use the Android operating system (O.S.), becoming the most popular O.S. for mobile devices. For these devices, there is a huge offer of application software that provides answers to users' different needs. This study aims to analyse how combinations of personality factors, sociodemographic variables and Internet use influence the adoption of productivity mobile apps by workers. To achieve this, a combination of these variables is analysed using fuzzy set Qualitative Comparative Analysis (fsQCA.) that allows us to analyse complex complementarities among factors. The results show the importance of distinct personality traits -extraversion and agreeableness -to understand the adoption of these services. Our study also provides relevant insight for software developers to target segments interested in the use of productivity software in their mobile devices.

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“…First, several studies into SNS adoption behaviour focused on privacy concerns resulting fro m location disclosure and check-in behaviour of SNS users [2,18,19]. Researchers in this field investigated several personality factors, disclosure motivations, usage patterns and gender differences.…”

Section: Theoretical Underpinningsmentioning

confidence: 99%

“…Location-based knowledge (LBK) has provided new insights into electronic sharing (E-sharing) behaviour. LBK primarily focuses on linking knowledge with a location at nearly real-t ime [2]. It evolves at a faster pace than traditional Esharing and has a great influence on consumer decision making.…”

Section: Introductionmentioning

confidence: 99%

Modelling Electronic Sharing (E-Sharing) Behaviour: A Perspective on Location-aware Technology

Alotaibi¹

2017

IJISA

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Abstract-The purpose of this paper is to investigate the factors affecting electronic sharing (E-sharing) behaviour, with a particular focus on location-aware technology. Based on an extensive literature rev iew, a structural model consisting of seven factors was proposed to model the E-sharing behaviour of location-based knowledge (LBK). The main constructs were: reward expectancy (WE), reputation expectancy (RE), perceived benefits (PB), perceived trust (PT), attitudes towards LBK, attitudes toward knowledge sharing incentives (KSI) and intention to share knowledge (ISK). The model was examined by empirical data gathered from four hundred and ninety (n=490) respondents. Results herein indicate that attitude toward KSI can be determined by the RE and WE, while attitude toward LBK E-sharing can be predicted by the PB and PT. The two attitude constructs (KSI and LBK) can determine the behavioural ISK. All of the proposed relationships within the model were statistically significant.

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Personality and location-based social networks

Cited by 110 publications

References 43 publications

Measuring segregation between rural migrants and local residents in urban China: An integrated spatio-social network analysis of Kecun in Guangzhou

Measuring segregation between rural migrants and local residents in urban China: An integrated spatio-social network analysis of Kecun in Guangzhou

Understanding workers’ adoption of productivity mobile applications: a fuzzy set qualitative comparative analysis (fsQCA)

Modelling Electronic Sharing (E-Sharing) Behaviour: A Perspective on Location-aware Technology

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