Application of Big Data Innovation in Human Resource Performance Management

2021 ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 210
Author(s):  
Changzhi Li ◽  
Zhongcheng Pan ◽  
Jing Weng ◽  
Pumin Li

In today’s rapid development of network technology, big data has been more and more applied. In the information and digital era, technological development is constantly promoting the reform and progress of the industry. In enterprise management, more and more big data technologies and concepts are applied. In terms of the application of big data in human resource management performance, the relevant technology is applied to human resource performance management has brought a new mode, which plays a prominent role in improving the efficiency of human resource performance management. However, there are still some problems in practical application. This paper, taking pesticide enterprises as an example, studies the problems and countermeasures of human resource management in such enterprises in the era of big data, so as to provide some ideas for guiding relevant enterprises to make good use of big data in human resource performance management.


2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Amanda Setiorini,MM.

Globalization changes the business environment, which demands change from every business organization involved, to succeed in the new environment. For that purpose, human resource management needs to be directed to the development of human capital, which assumes employees as assets, not costs, for the company. The implication is that management needs to recognize each of its employees in order to maximize their potential and manage it to be a competitive advantage. This is where performance management plays a very important role.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 226380-226396
Author(s):  
Diana Martinez-Mosquera ◽  
Rosa Navarrete ◽  
Sergio Lujan-Mora

2017 ◽  
Vol 46 (3) ◽  
pp. 551-571 ◽  
Author(s):  
Sugumar Mariappanadar ◽  
Alma Kairouz

Purpose The purpose of this paper is to apply the strategic human resource management (HRM) perspective to investigate the schematic relationship between the dimensions of human resource (HR) capital information and intentions to use such information in individual investors’ decisions relating to investing equities in the banking industry. Design/methodology/approach A two-stage empirical study was conducted in 2010 using a four-part HR capital disclosure questionnaire, which was developed and validated in stage 1 (n=145) of the study. In stage 2 (n=157), current or previous shareholders in one of the Australian banking sector corporations participated in the study. The collected data were analyzed using confirmatory factor and logistic regression analyses. Findings The findings of this explorative study highlight that the individual investors’ perception on the importance of performance management dimension of HR capital information has varied impacts on their intentions to use such information in investment decisions to buy, hold on to, or sell stocks. Practical implications This study has made an important contribution to the strategic HRM and behavioral finance literature that the human capital information facilitates the propensity to avoid regrets in selling shares too early (dispositional effect bias) to achieve utility benefits in future which is different from the findings of financial information disclosure study. Originality/value A recent critical review of HR disclosure indicated that most of the published articles on HR capital have used company annual reports for data source. However, this is the first study that attempts to understand the impact of HR capital disclosure information on investment intentions from individual investors’ schema rather than drawing data from company annual reports.


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