Accession Number : AD0601488

Title :   INFORMATION RETRIEVAL IN THE PERSONNEL DEPARTMENT. A SURVEY OF METHODS USED IN SCIENTIFIC AND ENGINEERING ORGANIZATIONS.

Corporate Author : JOHNS HOPKINS UNIV SILVER SPRING MD APPLIED PHYSICS LAB

Personal Author(s) : Dickmann,Robert A. ; Elliott,Olinda ; Hubbard,Leslie A.

Report Date : APR 1964

Pagination or Media Count : 31

Abstract : The present study was undertaken to determine the approach scientific and engineering organizations are taking to automate personnel records, the nature of such automated systems, the degree of success which has been encountered, and the efforts made toward developing a structure of technical skills. Questionnaires on automation and information retrieval in the personnel department were sent to 256 organizations. One hundred seven firms responded, 95 with completed questionnaires. After the results were summarized, the following conclusions were drawn: (1) An actual need for automation of personnel records was first seen as a firm approached 500 professional employees. (2) As continued growth occurred (up to 1000 professional employees), the need for automation was confirmed. However, automation actually was employed as a means for simplifying clerical tasks for each area of personnel separately, and these automated subsystems were not integrated into one working record system. (3) After clerical problems of preparing statistical reports were solved, in the 100 to 1500 group, firms began to load more detailed information about each employee into the system so that comprehensive lists of employees could be provided. (4) In the 1500 to 2000 group, all of the responding firms relied on automated records to some extent, even though the sample of firms in this category was very small. (5) In firms with 2000 or more professional employees, there was a trend to integrate several automated subsystems of personnel records. (Author)

Descriptors :   (*INFORMATION RETRIEVAL, PERSONNEL MANAGEMENT), (PERSONNEL MANAGEMENT, INFORMATION RETRIEVAL), (*PERSONNEL, RECORDS), (*RECORDS, MAINTAINABILITY), AUTOMATION, PUBLIC OPINION, DATA PROCESSING

Distribution Statement : APPROVED FOR PUBLIC RELEASE