CP
|
2019 |
Alam, Mirza Mohtashim; Mohiuddin, Karishma; Islam, Md. Kabirul; Hassan, Mehedi; Hoque, Md. Arshad-Ul; Allayear, Shaikh Muhammad |
A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model |
Intelligent Computing |
142-159 |
|
Springer International Publishing |
|
CP
|
2019 |
DSouza, Preethi Keerthi |
Absolute answerability in the Era of Artificial Intelligence and Machine Learning: A talent management perspective |
2019 International Conference on Digitization (ICD) |
|
|
|
2019 International Conference on Digitization (ICD) |
CP
|
2015 |
Palshikar, Girish Keshav; Sahu, Kuleshwar; Srivastava, Rajiv |
After You, Who? Data Mining for Predicting Replacements |
Mining Intelligence and Knowledge Exploration |
543-552 |
|
Springer International Publishing |
|
CP
|
2018 |
Islam, Md. Kabirul; Alam, Mirza Mohtashim; Islam, Md. Baharul; Mohiuddin, Karishma; Das, Amit Kishor; Kaonain, Md. Shamsul |
An Adaptive Feature Dimensionality Reduction Technique Based on Random Forest on Employee Turnover Prediction Model |
Advances in Computing and Data Sciences |
269-278 |
|
Springer |
|
BS
|
2019 |
Palshikar, Girish Keshav; Srivastava, Rajiv; Pawar, Sachin; Hingmire, Swapnil; Jain, Ankita; Chourasia, Saheb; Shah, Mahek |
Analytics-Led Talent Acquisition for Improving Efficiency and Effectiveness |
Advances in Analytics and Applications |
141-160 |
|
Springer |
|
CP
|
2018 |
Sela, Alon; Ben-Gal, Hila ChalutzSela, A., & Ben-Gal, H. C. (2018, December). Big data analysis of employee turnover in global media companies, google, facebook and others. In 2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) (pp. 1-5). IEEE.
|
Big Data Analysis of Employee Turnover in Global Media Companies, Google, Facebook and Others |
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) |
|
|
|
2018 IEEE International Conference on the Science of Electrical Engineering in Israel (ICSEE) |
JA
|
2018 |
Lopes, Susana Almeida; Duarte, Maria Eduarda; Almeida Lopes, João |
Can artificial neural networks predict lawyers’ performance rankings? |
International Journal of Productivity and Performance Management |
1940-1958 |
67 |
|
|
JA
|
2017 |
N’Cho, Julie |
Contribution of talent analytics in change management within project management organizations. The case of the French aerospace sector |
Procedia Computer Science |
625-629 |
121 |
|
|
JA
|
2019 |
Xu, Huang; Yu, Zhiwen; Yang, Jingyuan; Xiong, Hui; Zhu, HengshuXu, H., Yu, Z., Yang, J., Xiong, H., & Zhu, H. (2018). Dynamic talent flow analysis with deep sequence prediction modeling. IEEE Transactions on Knowledge and Data Engineering, 31(10), 1926-1939.
|
Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling |
IEEE Transactions on Knowledge and Data Engineering |
1926-1939 |
31 |
|
|
JA
|
2018 |
Khodakarami, Nima; Dirani, Khalil; Rezaei, Fatemeh |
Employee engagement: finding a generally accepted measurement scale |
Industrial and Commercial Training |
305-311 |
50 |
|
|
JA
|
2020 |
Pessach, Dana; Singer, Gonen; Avrahami, Dan; Chalutz Ben-Gal, Hila; Shmueli, Erez; Ben-Gal, Irad |
Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming |
Decision Support Systems |
|
134 |
|
|
JA |
2020 |
Lin, Hao; Zhu, Hengshu; Wu, Junjie; Zuo, Yuan; Zhu, Chen; Xiong, Hui |
Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models |
ACM Transactions on Information Systems |
32:1-32:33 |
38 |
|
|
CP |
2020 |
Tang, Avery; Lu, Timothy; Lynch, Zachary; Schaer, Oliver; Adams, Stephen |
Enhancing Promotion Decisions using Classification and Network-based Methods |
2020 Systems and Information Engineering Design Symposium (SIEDS) |
|
|
|
2020 Systems and Information Engineering Design Symposium (SIEDS) |
CP |
2017 |
Sisodia, Dilip Singh; Vishwakarma, Somdutta; Pujahari, Abinash |
Evaluation of machine learning models for employee churn prediction |
2017 International Conference on Inventive Computing and Informatics (ICICI) |
1016-1020 |
|
|
2017 International Conference on Inventive Computing and Informatics (ICICI) |
JA |
2018 |
van der Laken, Paul; Bakk, Zsuzsa; Giagkoulas, Vasileios; van Leeuwen, Linda; Bongenaar, Esthervan der Laken, P., Bakk, Z., Giagkoulas, V., van Leeuwen, L., & Bongenaar, E. (2018). Expanding the methodological toolbox of HRM researchers: The added value of latent bathtub models and optimal matching analysis. Human Resource Management, 57(3), 751-760.
|
Expanding the methodological toolbox of HRM researchers: The added value of latent bathtub models and optimal matching analysis: Expanding the methodological toolbox of HRM researchers: The added value of latent bathtub models and optimal matching analysis |
Human Resource Management |
751-760 |
57 |
|
|
CP |
2020 |
Peisl, Thomas; Edlmann, Raphael |
Exploring Technology Acceptance and Planned Behaviour by the Adoption of Predictive HR Analytics During Recruitment |
Systems, Software and Services Process Improvement |
177-190 |
|
Springer International Publishing |
|
JA |
2020 |
Saling, Kristin C.; Do, Michael D.Saling, K. C., & Do, M. D. (2020). Leveraging People Analytics for an Adaptive Complex Talent Management System. Procedia Computer Science, 168, 105-111.
|
Leveraging People Analytics for an Adaptive Complex Talent Management System |
Procedia Computer Science |
105-111 |
168 |
|
|
CP |
2018 |
Papoutoglou, Maria; Kapitsaki, Georgia M.; Mittas, NikolaosPapoutoglou, M., Kapitsaki, G. M., & Mittas, N. (2018, August). Linking personality traits and interpersonal skills to gamification awards. In 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (pp. 214-221). IEEE.
|
Linking Personality Traits and Interpersonal Skills to Gamification Awards |
2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) |
214-221 |
|
IEEE |
2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) |
CP |
2019 |
de Oliveira, Evandro Lopesde Oliveira, E. L. (2019, June). Machine Learning Techniques Applied to Predict the Performance of Contact Centers Operators. In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-4). IEEE.
|
Machine Learning Techniques Applied to Predict the Performance of Contact Centers Operators |
2019 14th Iberian Conference on Information Systems and Technologies (CISTI) |
|
|
|
2019 14th Iberian Conference on Information Systems and Technologies (CISTI) |
CP |
2017 |
Papoutsoglou, Maria; Mittas, Nikolaos; Angelis, Lefteris |
Mining People Analytics from StackOverflow Job Advertisements |
2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA) |
108-115 |
|
IEEE |
2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA) |
CP |
2017 |
Cahyani, Anggita Dian; Budiharto, Widodo |
Modeling Intelligent Human Resources Systems (IRHS) using Big Data and Support Vector Machine (SVM) |
Proceedings of the 9th International Conference on Machine Learning and Computing |
137-140 |
|
Association for Computing Machinery |
|
JA |
2018 |
Nandialath, Anup Menon; David, Emily; Das, Diya; Mohan, Ramesh |
Modeling the determinants of turnover intentions: a Bayesian approach |
Evidence-based HRM: a Global Forum for Empirical Scholarship |
|
6 |
|
|
CP |
2015 |
Wei, Dennis; Varshney, Kush R.; Wagman, MarcyWei, D., Varshney, K. R., & Wagman, M. (2015, June). Optigrow: People analytics for job transfers. In 2015 IEEE International Congress on Big Data (pp. 535-542). IEEE.
|
Optigrow: People Analytics for Job Transfers |
2015 IEEE International Congress on Big Data |
535-542 |
|
IEEE |
2015 IEEE International Congress on Big Data (BigData Congress) |
JA |
2017 |
Mohapatra, Mamta; Sahu, Priyanka |
Optimizing the Recruitment Funnel in an ITES Company: An Analytics Approach |
Procedia Computer Science |
706-714 |
122 |
|
|
CP |
2017 |
Singer, Leif; Storey, Margaret-Anne; Figueira Filho, Fernando; Zagalsky, Alexey; German, Daniel M.Singer, L., Storey, M. A., Figueira Filho, F., Zagalsky, A., & German, D. M. (2015, August). People analytics in software development. In International Summer School on Generative and Transformational Techniques in Software Engineering (pp. 124-153). Springer, Cham .
|
People Analytics in Software Development |
Grand Timely Topics in Software Engineering |
124-153 |
|
Springer International Publishing |
|
JA |
2019 |
Necula, Sabina-Cristiana; Strîmbei, Cătălin |
People Analytics of Semantic Web Human Resource Résumés for Sustainable Talent Acquisition |
Sustainability |
|
11 |
|
|
JA |
2018 |
Rombaut, Evy; Guerry, Marie-Anne |
Predicting voluntary turnover through human resources database analysis |
Management Research Review |
96-112 |
41 |
|
|
CP |
2019 |
Karande, Shubham; Shyamala, L. |
Prediction of Employee Turnover Using Ensemble Learning |
Ambient Communications and Computer Systems |
319-327 |
|
Springer |
|
JA |
2015 |
Agrawal, Soni |
Predictors of employee engagement: a public sector unit experience |
Strategic HR Review |
|
14 |
|
|
JA |
2020 |
Kakulapati, V.; Chaitanya, Kalluri Krishna; Chaitanya, Kolli Vamsi Guru; Akshay, PonugotiKakulapati, V., Chaitanya, K. K., Chaitanya, K. V. G., & Akshay, P. (2020). Predictive analytics of HR-A machine learning approach. Journal of Statistics and Management Systems, 23(6), 959-969.
|
Predictive analytics of HR - A machine learning approach |
Journal of Statistics and Management Systems |
|
|
|
|
JA |
2016 |
Pape, TomPape, T. (2016). Prioritising data items for business analytics: Framework and application to human resources. European Journal of Operational Research, 252(2), 687-698.
|
Prioritising data items for business analytics: Framework and application to human resources |
European Journal of Operational Research |
687-698 |
252 |
|
|
CP |
2016 |
Palshikar, Girish Keshav; Pawar, Sachin; Ramrakhiyani, NitinPalshikar, G. K., Pawar, S., & Ramrakhiyani, N. (2016, October). Role models: Mining role transitions data in IT project management. In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 508-517). IEEE.
|
Role Models: Mining Role Transitions Data in IT Project Management |
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) |
508-517 |
|
|
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) |
CP |
2020 |
Aswale, Neerja; Mukul, Kavya |
Role of Data Analytics in Human Resource Management for Prediction of Attrition Using Job Satisfaction |
Data Management, Analytics and Innovation |
57-67 |
|
Springer |
|
JA |
2018 |
Somers, Mark John; Birnbaum, Dee; Casal, JoseSomers, M. J., Birnbaum, D., & Casal, J. (2021). Supervisor support, control over work methods and employee well-being: New insights into nonlinearity from artificial neural networks. The International Journal of Human Resource Management, 32(7), 1620-1642.
|
Supervisor support, control over work methods and employee well-being: new insights into nonlinearity from artificial neural networks |
The International Journal of Human Resource Management |
|
|
|
|
CP |
2016 |
Xu, Huang; Yu, Zhiwen; Yang, Jingyuan; Xiong, Hui; Zhu, HengshuXu, H., Yu, Z., Yang, J., Xiong, H., & Zhu, H. (2018). Dynamic talent flow analysis with deep sequence prediction modeling. IEEE Transactions on Knowledge and Data Engineering, 31(10), 1926-1939.
|
Talent Circle Detection in Job Transition Networks |
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
655-664 |
|
Association for Computing Machinery |
|
JA |
2020 |
Rombaut, Evy; Guerry, Marie-Anne |
The effectiveness of employee retention through an uplift modeling approach |
International Journal of Manpower |
|
|
|
|
CP |
2019 |
Sun, Ying; Zhuang, Fuzhen; Zhu, Hengshu; Song, Xin; He, Qing; Xiong, HuiSun, Y., Zhuang, F., Zhu, H., Song, X., He, Q., & Xiong, H. (2019, July). The impact of person-organization fit on talent management: A structure-aware convolutional neural network approach. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1625-1633).
|
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach |
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining |
1625-1633 |
|
Association for Computing Machinery |
|
JA |
2015 |
Altındağ, Erkut; Kösedağı, Yeliz |
The Relationship Between Emotional Intelligence of Managers, Innovative Corporate Culture and Employee Performance |
Procedia - Social and Behavioral Sciences |
270-282 |
210 |
|
|
CP |
2021 |
Jain, Diksha; Makkar, Sandhya; Jindal, Lokesh; Gupta, Mukta |
Uncovering Employee Job Satisfaction Using Machine Learning: A Case Study of Om Logistics Ltd |
International Conference on Innovative Computing and Communications |
365-376 |
|
Springer |
|
JA |
2020 |
Newman, David T.; Fast, Nathanael J.; Harmon, Derek J.Newman, D. T., Fast, N. J., & Harmon, D. J. (2020). When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions. Organizational Behavior and Human Decision Processes, 160, 149-167.
|
When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions |
Organizational Behavior and Human Decision Processes |
149-167 |
160 |
|
|
JA |
2019 |
Beutell, Nicholas J.; Alstete, Jeffrey W.; Schneer, Joy A.; Hutt, CamilleBeutell, N. J., Alstete, J. W., Schneer, J. A., & Hutt, C. (2019). A look at the dynamics of personal growth and self-employment exit. International Journal of Entrepreneurial Behavior & Research.
|
A look at the dynamics of personal growth and self-employment exit |
International Journal of Entrepreneurial Behavior & Research |
1452-1470 |
25 |
|
|
JA |
2018 |
Gelbard, Roy; Ramon-Gonen, Roni; Carmeli, Abraham; Bittmann, Ran M.; Talyansky, Roman |
Sentiment analysis in organizational work: Towards an ontology of people analytics |
Expert Systems |
|
35 |
|
|