Dispositional antecedents of career success : a social network perspective

2006 ◽  
Author(s):  
Yu Ha. Cheung
2014 ◽  
Vol 22 (4) ◽  
pp. 273-294 ◽  
Author(s):  
Alexei Nikitkov ◽  
Barbara Sainty

Purpose – The purpose of this paper is to help us better understand if it is beneficial for individuals to use social networking sites (SNSs) to expand their networking opportunities, translating into greater career success. A significant key to career success is networking. SNSs are changing the way employees develop their networks with businesses and with other individuals. Design/methodology/approach – This study uses archival data including academic records for 1,182 accounting alumni from a large Canadian public institution. This dataset was expanded by obtaining social network information (presence and use) for each individual’s record. Findings – After controlling for a number of indicators of career success, the study found that presence on SNSs such as LinkedIn and the amount of activity therein has a strong and consistent association with metrics of professional success not found with non-professional sites such as Facebook, Twitter and MySpace. Originality/value – This study provides empirical support for the value of social networking as a proxy for the development of social capital. Support is in establishing the link between a group of social network profile characteristics and metrics of one’s career success. Distinguishing LinkedIn as chiefly connecting to alumni successes may be reflected in the weights attached to the profile characteristics as opposed to information coming from other sources.


Author(s):  
Craig C. Claybaugh ◽  
Peter Haried ◽  
Wen-Bin Yu

Online professional social networks are becoming an instrumental tool to facilitate relationships between business and technology professionals for career success. Even though tools such as LinkedIn can be used to manage human capital for career success use and adoption still is not universally accepted. This paper seeks to better understand the effect university, gender, and degree type has on the diffusion of an online social network (LinkedIn) across three years (2011 to 2014). The authors' findings show diffusion is not consistent across business school graduates. Their business school findings suggest that university, gender, and degree type have significant associations with LinkedIn participation. This is the case even though the majority of graduates still have yet to join the LinkedIn social network. An analysis of the results and future research directions are presented.


2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.


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