Lecture Notes in Computer Science - Social Informatics
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Published By Springer International Publishing

9783030609740, 9783030609757

Author(s):  
Jeewoo Yoon ◽  
Jungseock Joo ◽  
Eunil Park ◽  
Jinyoung Han


Author(s):  
Gaurav Koley ◽  
Jayati Deshmukh ◽  
Srinath Srinivasa


Author(s):  
Arthur Capozzi ◽  
Gianmarco De Francisci Morales ◽  
Yelena Mejova ◽  
Corrado Monti ◽  
André Panisson ◽  
...  


Author(s):  
Kilian Ollivier ◽  
Chiara Boldrini ◽  
Andrea Passarella ◽  
Marco Conti


Author(s):  
Boxuan Li ◽  
Martin Carrington ◽  
Peter Marbach


Author(s):  
Philipp Koncar ◽  
Denis Helic

Abstract Employee satisfaction impacts the efficiency of businesses as well as the lives of employees spending substantial amounts of their time at work. As such, employee satisfaction attracts a lot of attention from researchers. In particular, a lot of effort has been previously devoted to the question of how to positively influence employee satisfaction, for example, through granting benefits. In this paper, we start by empirically exploring a novel dataset comprising two million online employer reviews. Notably, we focus on the analysis of the influencing factors for employee satisfaction. In addition, we leverage our empirical insights to predict employee satisfaction and to assess the predictive strengths of individual factors. We train multiple prediction models and achieve accurate prediction performance (ROC AUC of best model $$=0.89$$ = 0.89 ). We find that the number of benefits received and employment status of reviewers are most predictive, while employee position has less predictive strengths for employee satisfaction. Our work complements existing studies and sheds light on the influencing factors for employee satisfaction expressed in online employer reviews. Employers may use these insights, for example, to correct for biases when assessing their reviews.



Author(s):  
Nikolaos Lykousas ◽  
Fran Casino ◽  
Constantinos Patsakis
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Author(s):  
Divi Galih Prasetyo Putri ◽  
Marco Viviani ◽  
Gabriella Pasi
Keyword(s):  


Author(s):  
Hamdy Mubarak ◽  
Ahmed Abdelali ◽  
Sabit Hassan ◽  
Kareem Darwish
Keyword(s):  


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