Data Warehouse and Business Intelligence Systems in the Context of E-HRM

2009 ◽  
pp. 223-229
Author(s):  
Martin Burgard ◽  
Franca Piazza
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Resource Management ◽  
Human Resource Management ◽  
Data Warehouse ◽  
Human Resource ◽  
Business Intelligence ◽  
Multidimensional Data ◽  
Business Intelligence Systems ◽  
Analytical Processing

The increased use of information technology leads to the generation of huge amounts of data which have to be stored and analyzed by appropriate systems. Data warehouse systems allow the storage of these data in a special multidimensional data base. Based on a data warehouse, business intelligence systems provide different analysis methods such as online analytical processing (OLAP) and data mining to analyze these data. Although these systems are already widely used and the usage is still growing, their application in the area of electronic human resource management (e-HRM) is rather scarce. Therefore, the objective of this article is to depict the components and functionality of these systems and to illustrate the application possibilities and benefits of these systems by selected application examples in the context of e-HRM.

Data Warehouse and Business Intelligence Systems in the Context of E-HRM

2011 ◽  
pp. 1013-1020
Author(s):  
Martin Burgard ◽  
Franca Piazza
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Resource Management ◽  
Human Resource Management ◽  
Data Warehouse ◽  
Human Resource ◽  
Business Intelligence ◽  
Multidimensional Data ◽  
Business Intelligence Systems ◽  
Analytical Processing

The increased use of information technology leads to the generation of huge amounts of data which have to be stored and analyzed by appropriate systems. Data warehouse systems allow the storage of these data in a special multidimensional data base. Based on a data warehouse, business intelligence systems provide different analysis methods such as online analytical processing (OLAP) and data mining to analyze these data. Although these systems are already widely used and the usage is still growing, their application in the area of electronic human resource management (e-HRM) is rather scarce. Therefore, the objective of this article is to depict the components and functionality of these systems and to illustrate the application possibilities and benefits of these systems by selected application examples in the context of e-HRM.

Business Intelligence Assistant for Human Resource Management for IT Companies

2020 ◽  
Author(s):  
Chamudini Athukorala ◽  
Hirusha Kumarasinghe ◽  
Kavishka Dabare ◽  
Pasindu Ujithangana ◽  
Samantha Thelijjagoda ◽  
...  
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Business Intelligence

Difficulties in Accepting Telemedicine

2010 ◽  
pp. 681-691
Author(s):  
María José Crisóstomo-Acevedo ◽  
José Aurelio Medina-Garrido
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Resource Management ◽  
Human Factors ◽  
Human Resource Management ◽  
Human Resource ◽  
Resistance To Change ◽  
Organizational Management ◽  
New Type ◽  
Practical Implications

Telemedicine requires a new type of worker: the health care teleworker. Nevertheless, physicians remain wary of adopting telemedicine. This work examines the sources of the resistance to incorporating telemedicine. We adopt a focus centering on the difficulties that human factors have in accepting the practice of telemedicine. Employees’ resistance to change comes mainly from the inertia that perpetuates traditional routines and methods of working. The success of telemedicine projects will be determined by these human factors as well as by an adequate use of information technology and an appropriate organizational management. This work also offers some practical implications in human resource management for managers of telemedicine projects to consider.

Global Information Systems and Human Resource Management

2011 ◽  
pp. 30-43
Author(s):  
Fred Niederman
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Information Technologies ◽  
Global Organizations ◽  
Human Resource Strategy ◽  
Information Systems Professionals ◽  
Management Techniques

A socio-technical approach to information systems requires recognition of the inextricable link between information technologies and humans as designers and users. This essay explores five areas in which information technology and human computer designers/users interact within the context of global organizations. These five areas are: using information technology to support the human resource strategy of global organizations, using information technology to support the generation and distribution of organizational learning, using human resource management techniques and programs to support the work of information systems professionals, using human resource management techniques and programs to support the work of global “end-users” or knowledge workers, and, finally, national and regional policies to support technical and human resource infrastructures.

A Proposed Model for Predicting Employees’ Performance Using Data Mining Techniques

2020 ◽  
Vol 17 (8) ◽  
pp. 3804-3809
Author(s):  
A. Yovan Felix ◽  
Karthik Reddy Vuyyuru ◽  
Viswas Puli
Keyword(s):  
Data Mining ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Human Resource Professionals ◽  
Quality Factors ◽  
Proposed Model ◽  
Opportune Time ◽  
Using Data ◽  
The Impact

Human Resource Management has gotten one of the basic pastimes of supervisors and chiefs in practically wide variety of corporations to include plans for accurately locating profoundly qualified representatives. In similar way, administrations come to be intrigued about the presentation of these representatives. Particularly to guarantee the fitting person apportioned to the beneficial employment on the opportune time. From right here the enthusiasm of statistics in mining process has been growing that its goal is disclosure of facts from huge measures of statistics. Three fundamental Data Mining strategies were applied for building the arrangement version and distinguishing the quality factors that emphatically impact the exhibition. To get a profoundly actual version, a few trials were achieved dependent on the beyond procedures which can be actualized in WEKA tool for empowering leaders and Human Resource professionals to anticipate and improve the exhibition of their representatives. This paper makes use of Hadoop for the remedy of great measure of data with which may be guaranteed to be able to decide the impact.

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