IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v503y2018icp45-57.html
   My bibliography  Save this article

Optimization adjustment of human resources based on dynamic heterogeneous network

Author

Listed:
  • Zhao, Danling
  • Li, Jichao
  • Tan, Yuejin
  • Yang, Kewei
  • Ge, Bingfeng
  • Dou, Yajie

Abstract

The human resources network, involves enterprise social networks and job networks, can be abstracted as heterogeneous networks or multi-layers networks. Adjusting the position assignments to maximize employee productivity and minimize the company’s cost is the goal of organization optimization. Taking the churn and interaction among the staff into account, this paper puts forward a dynamic optimization model for human resource adjustment, which is based on heterogeneous network, to describe the influence among individuals who are in personal relationship or professional relationship. More specifically, intimacy and loyalty are constructed to form the basis of churn rate, which indicate the influence of the personal and professional relationship respectively. With the operation of the organization, the change of intimacy and loyalty leads to the churn process, which are simulated with Monte Carlo method in a dynamic process among the heterogeneous network. After churning, an optimal strategy of recruitment and position adjustment is obtained using the Genetic Algorithm. In general, the human resource optimization process consists three periodic parts: loyalty and intimacy transformation, staff churn simulation and position assignment. Finally, a case study of an organization with 370 employee positions is carried out to demonstrate the whole process.

Suggested Citation

  • Zhao, Danling & Li, Jichao & Tan, Yuejin & Yang, Kewei & Ge, Bingfeng & Dou, Yajie, 2018. "Optimization adjustment of human resources based on dynamic heterogeneous network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 45-57.
    • Handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:45-57
    DOI: 10.1016/j.physa.2018.02.168
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118302528
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2018.02.168?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. He, Ling-Yun & Qian, Wen-Bin, 2012. "A Monte Carlo simulation to the performance of the R/S and V/S methods—Statistical revisit and real world application," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(14), pages 3770-3782.
    2. Shang, Ronghua & Bai, Jing & Jiao, Licheng & Jin, Chao, 2013. "Community detection based on modularity and an improved genetic algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1215-1231.
    3. M. Guerci & Giovanni Radaelli & Elena Siletti & Stefano Cirella & A. Rami Shani, 2015. "The Impact of Human Resource Management Practices and Corporate Sustainability on Organizational Ethical Climates: An Employee Perspective," Journal of Business Ethics, Springer, vol. 126(2), pages 325-342, January.
    4. Lu Lu & Jun Liu & Na Zhao, 2017. "Why employees stay: the roles of psychological ownership, territoriality and work relationship closeness in affecting employee turnover intention," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olga Alexandra Chinita Pirrolas & Pedro Miguel Alves Ribeiro Correia, 2021. "The Theoretical-Conceptual Model of Churning in Human Resources: The Importance of Its Operationalization," Sustainability, MDPI, vol. 13(9), pages 1-10, April.
    2. Olga Alexandra Chinita Pirrolas & Pedro Miguel Alves Ribeiro Correia, 2022. "Dimensionality of the Causes of Churning: A Multivariate Statistical Analysis," Merits, MDPI, vol. 3(1), pages 1-16, December.
    3. Olga Alexandra Chinita Pirrolas & Pedro Miguel Alves Ribeiro Correia, 2022. "Literature Review on Human Resource Churning—Theoretical Framework, Costs and Proposed Solutions," Social Sciences, MDPI, vol. 11(10), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Wei & Huang, Ce & Wang, Miao & Chen, Xi, 2017. "Stepping community detection algorithm based on label propagation and similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 145-155.
    2. Shang, Ronghua & Luo, Shuang & Zhang, Weitong & Stolkin, Rustam & Jiao, Licheng, 2016. "A multiobjective evolutionary algorithm to find community structures based on affinity propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 203-227.
    3. Li, Yafang & Jia, Caiyan & Li, Jianqiang & Wang, Xiaoyang & Yu, Jian, 2018. "Enhanced semi-supervised community detection with active node and link selection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 219-232.
    4. Adolfo Carballo‐Penela & Emilio Ruzo‐Sanmartín & Carlos M. P. Sousa, 2023. "Does business commitment to sustainability increase job seekers' perceptions of organisational attractiveness? The role of organisational prestige and cultural masculinity," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5521-5535, December.
    5. Birca Alic, 2018. "Organizations Involvement In The Sustainable Development Of Human Resources," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 0, pages 14-24, December.
    6. Adolfo Carballo-Penela & Emilio Ruzo-Sanmartín & Carlos M. P. Sousa, 2020. "Influence of Business Commitment to Sustainability, Perceived Value Fit, and Gender in Job Seekers’ Pursuit Intentions: A Cross-Country Moderated Mediation Analysis," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    7. Xiao, Wei-Lin & Zhang, Wei-Guo & Zhang, Xili & Zhang, Xiaoli, 2012. "Pricing model for equity warrants in a mixed fractional Brownian environment and its algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6418-6431.
    8. Khuram Shahzad & Ying Hong & Alan Muller & Marco DeSisto & Farheen Rizvi, 2024. "An Investigation of the Relationship Between Ethics-Oriented HRM Systems, Moral Attentiveness, and Deviant Workplace Behavior," Journal of Business Ethics, Springer, vol. 192(3), pages 591-608, July.
    9. Shang, Ronghua & Liu, Huan & Jiao, Licheng, 2017. "Multi-objective clustering technique based on k-nodes update policy and similarity matrix for mining communities in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 1-24.
    10. Sun, Lin, 2013. "Pricing currency options in the mixed fractional Brownian motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3441-3458.
    11. Bilal, Saoud & Abdelouahab, Moussaoui, 2017. "Evolutionary algorithm and modularity for detecting communities in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 89-96.
    12. Fan, Xiaoqian & Yuan, Ying & Zhuang, Xintian & Jin, Xiu, 2017. "Long memory of abnormal investor attention and the cross-correlations between abnormal investor attention and trading volume, volatility respectively," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 323-333.
    13. Waqas, Muhammad & Yahya, Farzan & Ahmed, Ammar & Rasool, Yasir & Hongbo, Li, 2021. "Unlocking employee's green behavior in fertilizer industry: the role of green HRM practices and psychological ownership," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(5), May.
    14. Mohammad, Shoeb & Husted, Bryan, 2023. "Skilled workforces and Law-abiding organizational climates in emerging markets," Journal of Business Research, Elsevier, vol. 158(C).
    15. Li, Shudong & Jiang, Laiyuan & Wu, Xiaobo & Han, Weihong & Zhao, Dawei & Wang, Zhen, 2021. "A weighted network community detection algorithm based on deep learning," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    16. He, Zhipeng & Zhang, Shuguang & Hu, Jun & Dai, Fei, 2024. "An adaptive time series segmentation algorithm based on visibility graph and particle swarm optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    17. Yin Ma & Shih-Chih Chen & Athapol Ruangkanjanases, 2021. "Understanding the Antecedents and Consequences of Green Human Capital," SAGE Open, , vol. 11(1), pages 21582440209, February.
    18. Fu, Yu-Hsiang & Huang, Chung-Yuan & Sun, Chuen-Tsai, 2016. "Using a two-phase evolutionary framework to select multiple network spreaders based on community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 840-853.
    19. Leila M Naeni & Hugh Craig & Regina Berretta & Pablo Moscato, 2016. "A Novel Clustering Methodology Based on Modularity Optimisation for Detecting Authorship Affinities in Shakespearean Era Plays," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-27, August.
    20. Mieke Audenaert & Beatrice Heijden & Neil Conway & Saskia Crucke & Adelien Decramer, 2020. "Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations, Developmental Inducements, and Social Organizational Goals," Journal of Business Ethics, Springer, vol. 166(3), pages 627-641, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:45-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.