Talking about the Innovative Application of Big Data in Enterprise Human Resources Performance Management

被引:0
作者
Xu, Dazhi [1 ,2 ]
Tu, Tianyi [3 ]
Xiao, Xiaoyong [2 ,4 ]
机构
[1] Cent South Univ, Sch Publ Adm, Changsha 410083, Hunan, Peoples R China
[2] Hunan Univ Arts & Sci, Coll Econ & Management, Changde 415000, Hunan, Peoples R China
[3] Hunan Univ Arts & Sci, Sch Comp & Elect Engn, Changde 415000, Hunan, Peoples R China
[4] Hunan Univ Arts & Sci, Hunan Prov Cooperat Innovat Ctr Construct & Dev Do, Changde 415000, Hunan, Peoples R China
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中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the advent of the wave of big data, data has become an important information asset. With data information, we have the ability to gain insight into market conditions and strengthen management. The use of big data technology to conduct statistics, analysis, and mining of massive information can make information assets play a very high value in corporate strategy formulation and accurate decision-making. However, the traditional performance management concepts and management methods have not adapted to the development requirements of the times, and there are various drawbacks. This paper analyzes the impact of big data on enterprise performance management. Combining the key aspects of the company's performance in the old data era, a new method of company performance management and the subsequent innovative development path are proposed. Recognition frameworks, employee similarity, FCM, and other assessment formulas are emphasized. From the employee's work attitude, workability and appearance, and daily performance, combined with the calculation of employee benefits, the evaluation is more clear; after the implementation of the material reward experiment, the attendance rate increased by 16.3%. At the same time, the workload was gradually refined, from quantitative to qualitative, and sales increased by 28.6%, maximizing the advantages of human resources and promoting the sustainable development of the enterprise.
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页数:12
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共 24 条
  • [1] Impact of Human Resource Management Practices on Employees' Turnover Intention in United Arab Emirates (UAE) Health Care Services
    Banimelhem, Hussein
    Abu Elanain, Hossam M.
    Hussain, Matloub
    [J]. INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN THE SERVICE SECTOR, 2018, 10 (04) : 21 - 41
  • [2] Big-BOE: Fusing Spanish Official Gazette with Big Data Technology
    Basanta-Val, Pablo
    Sanchez-Fernandez, Luis
    [J]. BIG DATA, 2018, 6 (02) : 124 - 138
  • [3] Human resource management: the promise, the performance, the consequences
    Brewster, Chris
    Gooderham, Paul N.
    Mayrhofer, Wolfgang
    [J]. JOURNAL OF ORGANIZATIONAL EFFECTIVENESS-PEOPLE AND PERFORMANCE, 2016, 3 (02) : 181 - 190
  • [4] Big autonomous vehicular data classifications: Towards procuring intelligence in ITS
    Daniel, Alfred
    Subburathinam, Karthik
    Paul, Anand
    Rajkumar, Newlin
    Rho, Seungmin
    [J]. VEHICULAR COMMUNICATIONS, 2017, 9 : 306 - 312
  • [5] Event-based sensor data exchange and fusion in the Internet of Things environments
    Esposito, Christian
    Castiglione, Aniello
    Palmieri, Francesco
    Ficco, Massimo
    Dobre, Ciprian
    Iordache, George V.
    Pop, Florin
    [J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2018, 118 : 328 - 343
  • [6] The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources
    Hamilton, R. H.
    Sodeman, William A.
    [J]. BUSINESS HORIZONS, 2020, 63 (01) : 85 - 95
  • [7] Human Resource Management of Internet Enterprises Based on Big Data Mobile Information System
    Liu, Shui
    [J]. MOBILE INFORMATION SYSTEMS, 2021, 2021
  • [8] Human resource management (HRM) practices and organizational performance The mediating role of employee competencies
    Otoo, Frank Nana Kweku
    [J]. EMPLOYEE RELATIONS, 2019, 41 (05) : 949 - 970
  • [9] Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms
    Papalexakis, Evangelos E.
    Faloutsos, Christos
    Sidiropoulos, Nicholas D.
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2017, 8 (02)
  • [10] Patan Rizwan, 2018, International Journal of Computer Aided Engineering and Technology, V10, P418