scholarly journals Measurement of Human Resource Demand of Medical Institution Inspection Based on Task Analysis

2021 ◽  
Vol Volume 14 ◽  
pp. 2579-2588
Author(s):  
Yan Liu ◽  
Chunhong Zhou ◽  
Xiaoling Chen ◽  
Gang Chen
Keyword(s):  
Human Resource ◽  
Task Analysis ◽  
Medical Institution ◽  
Resource Demand

scholarly journals Midwifery service and midwifery human resource demand in western China: a cross-sectional study

The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S34
Author(s):  
Nan Zhou ◽  
Hong Lu ◽  
Huimin Zhao ◽  
Fengjuan Li ◽  
Minghui Yang
Keyword(s):  
Human Resource ◽  
Cross Sectional Study ◽  
Western China ◽  
Sectional Study ◽  
Cross Sectional ◽  
Resource Demand

Positive Scholarship for K-20 Education in Africa

2018 ◽  
pp. 310-324
Author(s):  
Gerald D. Gyamfi
Keyword(s):  
Career Development ◽  
Adult Learners ◽  
Learning Environment ◽  
Human Resource ◽  
Work Experience ◽  
Career Advancement ◽  
Educational Institutions ◽  
Educational Strategies ◽  
Resource Demand ◽  
Global World

Challenges of the modern global world require a change in thinking and reform of educational curricular to incorporate means through which education can enhance scholarship and career advancement for adult learners in Africa. The main objective of this chapter is to develop K-20 educational strategies that promote scholarship and career development to meet the complex human resource demand of the business industry in Africa. The exploration focuses on the type of education that combines both work and scholarship through formal and informal means. The chapter critically examines the approaches that educational institutions should follow to enrich their curricular activities with work experience. The author discusses the means through which the opportunities from the industry could be employed to create conducive learning environment for learners pursuing K-20 education.

Factors affecting hotel human resource demand in Taiwan

2011 ◽  
Vol 30 (2) ◽  
pp. 312-318 ◽  
Author(s):  
Lin Lin ◽  
Jeou-Shyan Horng ◽  
Yi-Chen Chen ◽  
Chang-Yen Tsai
Keyword(s):  
Human Resource ◽  
Factors Affecting ◽  
Resource Demand

The Use of a Job Task Analysis in Assessing the Perceptions of Human Resource Managers on the Role of the Rehabilitation Counselor in Industry

1995 ◽  
Vol 26 (1) ◽  
pp. 47-50
Author(s):  
James F. Scorzelli
Keyword(s):  
Human Resource ◽  
Task Analysis ◽  
Rehabilitation Counseling ◽  
Vocational Counseling ◽  
Human Resource Managers ◽  
Rehabilitation Counselor ◽  
Counseling Training ◽  
Job Tasks ◽  
Resource Managers ◽  
Job Task

The purpose of this study was to assess the perceptions of a group of human resource managers on the roles and functions of rehabilitation counselors in business. A sample of 150 companies in Massachusetts were selected, and a job task analysis questionnaire was mailed to the human resource mangers of these companies. Based on a return rate of 41.5%, those job tasks rated the highest pertained to helping “troubled employees maintain their jobs with the company.” The results of this study appear to reconfirm the importance of vocational counseling and occupational placement courses in rehabilitation counseling training curriculum, and clearly identified the field experience as the most useful tool for developing links with business and industry.

scholarly journals Analysis of Enterprise Human Resources Demand Forecast Model Based on SOM Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiafeng Zheng ◽  
Ruijun Ma
Keyword(s):  
Neural Network ◽  
Human Resources ◽  
Prediction Model ◽  
Human Resource ◽  
Resource Planning ◽  
Strategic Decision ◽  
Demand Forecast ◽  
Human Resource Planning ◽  
Resource Demand ◽  
Som Neural Network

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.

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