Research on knowledge management has rapidly increased in the last decade, leaving a huge gap on how, why, and what triggers knowledge hiding in inter-organizational setups. Furthermore, the fostering factors for knowledge sharing have also remained unexplored because the employees in an organization are unwilling to share their knowledge with others for several reasons. The current study has attempted to explore the reasons that make employees hide their knowledge from other employees in order to excel. The individual factors considered in this study that make employees hide their knowledge are the lack of rewards for knowledge sharing, internal competition, and psychological entitlement. Furthermore, the interesting consequent factor of knowledge hiding in this study was found to be significant. The moderating role of employees’ social status has a significant moderating effect on the relationship between knowledge-hiding behavior and organizational performance. The population of the study was the managerial employees of financial institutions of China and the sample size taken in his study was 446 via convenient sampling technique. The independent factors in this study found significant results of knowledge-hiding behavior, thus approving the mediating role of knowledge hiding in the organizational performance of the financial institutions of China. The software used in this study for the data analysis was smart PLS and the technique used was partial least square SEM for the measurement of the hypothesis of the study. The study’s findings also have certain implications for policymaking in financial institutions that may hinder knowledge hiding practices and support the uninterrupted flow of knowledge among employees.

Human resource planning is the prerequisite of human resource management, and the basic work of human resource planning is to predict human resource demand. Scientific and reasonable human resource demand forecasting results can provide important data support for enterprise human resource planning and strategic decision-making so that human resources management can play a better role in the realization of corporate goals. Because human resource demand is affected by many factors, there is a high degree of nonlinearity and uncertainty between each factor and personnel demand, as well as the incompleteness and inaccuracy of corporate human resource data. In this paper, the self-organizing feature mapping (SOM) artificial neural network prediction model is selected as the prediction model, and the input and output process of sample data is converted into the optimal solution process of the nonlinear function. In the application of the model, the human resource demand prediction index system is used as the input of the SOM neural network and the total number of employees in the enterprise is used as the output so that the problem of nonlinear fitting between human resource demand-influencing factors and human resource demand can be solved. Finally, through the empirical analysis of the enterprise, the model forecasting process is explained and the human resource demand forecast is realized.

In recent years, knowledge hiding has gained much popularity in the knowledge management literature. Apart from that, antecedents and consequences of knowledge hiding are being scrutinized at present. There have been many studies on the triggering forces of knowledge hiding; however, the uncivil behaviors at the workplace have led the organizations and employees in trouble due to its possible associating factors, which is well explained by social influence theory. One such factor that this study has identified is knowledge hiding behavior at the workplace. This is a quantitative cross-sectional study based on a survey. The population taken in this study is the middle and low-level managerial staff of the software houses located in China. The respondents were selected based on convenient random sampling, and a sample size of 287 is used in this study. The data collected were employed with the partial least square structural equation modeling using Smart-PLS 3. The findings of this study show that apart from evasive hiding, playing dumb and rationalized hiding plays a significant role in predicting workplace incivility. In addition, psychological contract breach (PCB) has been taken as the mediating variable. The violation of psychological contracts among employees can indulge them in negative feelings that may convert to workplace incivility at any available opportunity of revenge which is well explained by social influence theory. Workplace incivility cannot be completely eradicated from the organizations; however, it can be controlled by making relevant policies. The civility among the employees can be attained by due managerial interventions and training of the employees considering the protection of victims and due punishment to the perpetrator.