  Enterprises have put more and more emphasis on data analysis so as to obtain
effective management advices. Managers and researchers are trying to dig out
the major factors that lead to employees' promotion and resignation. Most
previous analyses were based on questionnaire survey, which usually consists of
a small fraction of samples and contains biases caused by psychological
defense. In this paper, we successfully collect a data set consisting of all
the employees' work-related interactions (action network, AN for short) and
online social connections (social network, SN for short) of a company, which
inspires us to reveal the correlations between structural features and
employees' career development, namely promotion and resignation. Through
statistical analysis and prediction, we show that the structural features of
both AN and SN are correlated and predictive to employees' promotion and
resignation, and the AN has higher correlation and predictability. More
specifically, the in-degree in AN is the most relevant indicator for promotion;
while the k-shell index in AN and in-degree in SN are both very predictive to
resignation. Our results provide a novel and actionable understanding of
enterprise management and suggest that to enhance the interplays among
employees, no matter work-related or social interplays, can largely improve the
loyalty of employees.
