Historical Dictionary of Data Processing: Organizations

1989 ◽  
Vol 75 (4) ◽  
pp. 1416
Author(s):  
Walter M. Mathews ◽  
James W. Cortada
Keyword(s):  
Data Processing ◽  
Processing Organizations

Quality Circles in three data processing organizations

1982 ◽  
Author(s):  
Elizabeth Godair ◽  
Louis Sportelli ◽  
Mahlon McCracken ◽  
Doris Eschbach
Keyword(s):  
Data Processing ◽  
Quality Circles ◽  
Processing Organizations

IT in Knowledge Management

2011 ◽  
pp. 452-468 ◽  
Author(s):  
Petter Gottschalk
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Information Systems ◽  
Data Processing ◽  
Control Level ◽  
Aggregate Data ◽  
Organizational Impact ◽  
Data Management Systems ◽  
Massive Number ◽  
Processing Organizations

As we trace the evolution of computing technologies in business, we can observe their changing level of organizational impact. The first level of impact was at the point work got done, and transactions (e.g., orders, deposits, reservations) took place. The inflexible, centralized mainframe allowed for little more than massive number crunching, commonly known as electronic data processing. Organizations became data heavy at the bottom, and data management systems were used to keep the data in check. Later, the management information systems were used to aggregate data into useful information reports, often prescheduled, for the control level of the organization: people who were making sure that organizational resources like personnel, money, and physical goods were being deployed efficiently. As information technology (IT) and information systems (IS) started to facilitate data and information overflow, and corporate attention became a scarce resource, the concept of knowledge emerged as a particularly high-value form of information (Grover & Davenport, 2001).

scholarly journals Preservação digital à luz do RGPD

2021 ◽  
pp. 209-219
Author(s):  
Maria Fernanda Travassos de A. Novaes
Keyword(s):  
Data Processing ◽  
Personal Data ◽  
Legal Systems ◽  
Privacy Rights ◽  
Data Preservation ◽  
Physical Presence ◽  
Processing Organizations ◽  
The Individual ◽  
The Impact

The use of personal data enables the individual to travel today with autonomy in theInformation Society. Whether in the identification, classification or authorization in platforms or systems, these elements replace the physical presence, for example, in the authentication of services. Over the years, the legal systems have tried to deliberate on the protection of personal data and, after four generations, have found a balance that supports holders in actions with data processing organizations. The RGPD, which protects natural persons in the EuropeanUnion, has, in its 173 recitalsand eleven chapters, legal mechanisms that support the holders in guaranteeing their privacy rights. In thisarticle, the impact of the RGPDon data preservation and the challenges facing the standard will be analyzed.

IS/IT in Knowledge Management

2011 ◽  
pp. 87-144 ◽  
Author(s):  
Petter Gottschalk
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Information Systems ◽  
Data Processing ◽  
Control Level ◽  
Aggregate Data ◽  
Organizational Impact ◽  
Data Management Systems ◽  
Massive Number ◽  
Processing Organizations

As we trace the evolution of computing technologies in business, we can observe their changing level of organizational impact. The first level of impact was at the point where work got done and transactions (e.g., orders, deposits, reservations) took place. The inflexible, centralized mainframe allowed for little more than massive number crunching, commonly known as electronic data processing. Organizations became data heavy at the bottom and data management systems were used to keep the data in check. Later, the management information systems were used to aggregate data into useful information reports, often prescheduled, for the control level of the organization – people who were making sure that organizational resources like personnel, money, and physical goods were being deployed efficiently. As information technology (IT) and information systems (IS) started to facilitate data and information overflow, and corporate attention became a scarce resource, the concept of knowledge emerged as a particularly high-value form of information (Grover & Davenport, 2001).

IT in Knowledge Management

2007 ◽  
pp. 45-70
Author(s):  
Petter Gottschalk
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Information Systems ◽  
Data Processing ◽  
Control Level ◽  
Aggregate Data ◽  
Organizational Impact ◽  
Data Management Systems ◽  
Massive Number ◽  
Processing Organizations

As we trace the evolution of computing technologies in business, we can observe their changing level of organizational impact. The first level of impact was at the point work got done, and transactions (e.g., orders, deposits, reservations) took place. The inflexible, centralized mainframe allowed for little more than massive number crunching, commonly known as electronic data processing. Organizations became data heavy at the bottom, and data management systems were used to keep the data in check. Later, the management information systems were used to aggregate data into useful information reports, often prescheduled, for the control level of the organization: people who were making sure that organizational resources like personnel, money, and physical goods were being deployed efficiently. As information technology (IT) and information systems (IS) started to facilitate data and information overflow, and corporate attention became a scarce resource, the concept of knowledge emerged as a particularly high-value form of information (Grover & Davenport, 2001).

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