ACM Home Page
Please provide us with feedback. Feedback
Automated information systems as social resources in policy making
Full text PdfPdf (831 KB)
Source ACM Annual Conference/Annual Meeting archive
Proceedings of the 1978 annual conference - Volume 2 table of contents
Pages: 666 - 674  
Year of Publication: 1978
ISBN:0-89791-000-1
Author
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 20,   Citation Count: 4
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/800178.810109
What is a DOI?

ABSTRACT

Automated information systems have been suggested by a number of theorists to aid public policy makers in acquiring more accurate, timely, and relevant information. This paper reports a study of the uses and impacts of automated systems for policy analysis in 42 municipal governments. Automated analyses are commonly used in municipal governments and are used to support policy suggestions which are often implemented. Automated systems in these settings serve in both educational and political roles. The utility of automated data systems for both rational and political uses increases with the extent that automated data is available in a given municipal government. In addition, we investigate the influence of computer-based policy analyses on the distribution of power in municipal governments. We find that computer-based systems reinforce the existing distribution of power in American municipalities. They provide differential support to mayors and city managers in smaller cities and to departments in the larger cities. More generally, this analysis indicates that the political arrangements of the social setting in which a computer-based system is utilized must be well understood, in addition to the technical features of the system, to predict its likely uses and impacts. This principle undermines the sufficiency of the formulations of rational and organizational process theorists who emphasize the technical characteristics of systems and neglect the political dynamics of the settings in which automated data systems are utilized.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Ackoff, Russell, Redesigning the Future: A Systems Approach to Societal Problems, (John Wiley and Sons, New York, 1974).
 
2
Allison, Graham, Conceptual models and the Cuban missile crisis, American Political Science Review, 63 (Sept. 1969):689-718.
 
3
Brewer, Gary, Politicians, Bureaucrats and Consultants (Basic Books, New York, 1974).
 
4
Catanese, A.J. and Farmer, W.P. (eds.) Personality, Politics and Planning: How City Planners Work, (Sage Publications, Inc., Beverly Hills, CA, 1978).
 
5
Conn, W.D., The difficulty of forecasting ambient air quality, J. Am. Inst. Plnrs. 41 (Sept. 1975):334-346.
 
6
Dahl, Robert and Lindblom, Charles, Politics, Economics, and Welfare, (University of Chicago Press, Chicago, Ill. 1976).
 
7
Downs, Anthony, A realistic look at the final payoffs from urban data systems, Public Administration Review, 27 (Sept. 1967):204-209.
 
8
Greenberger, Martin, Crenson, Mathew A. And Crissey, Brian L., Models in the Policy Process (Russel Sage Foundation, New York, 1976).
 
9
Kamnitzer, Peter, Urban problems in Computers and the Problems of Society, H. Sackman and H. Borko (eds.) (AFIPS Press, Montevale, N.J., 1972).
10
 
11
Kling, Rob, Automated information systems and public policymaking, ICS TR#78, Department of Information and Computer Science (University of California, Irvine, July 1976).
 
12
Kling, Rob, Information systems in public policymaking: Computer technology and organizational arrangements, Telecommunications Policy 2(1) (March 1978):22-32.
13
14
 
15
Kraemer, K., Danziger, J., Dutton, W.H., Mood, A., and Kling, R., Future cities survey research design for policy analysis, Socioeconomic Planning Sciences 10(5) (October 1976).
 
16
Lee, Douglas, Requiem for large scale models, Journal of the American Institute of Planners (May 1973):163-178.
 
17
Lupo, Alan, Colcord, Frank and Fowler, Edmund, Rites of Way: the Politics of Transportation in Boston and the U.S. City, Chapter 12 (Little, Brown and Co., Boston, 1971).
 
18
Lynch, Thomas, Policy Analysis in Public Policymaking, (Lexington Books, Lexington, Mass., 1975).
 
19
Long, Norton, The local community as an ecology of games, American Journal of Sociology LXIV (November, 1958):251-261.
 
20
March, James and Simon, Herbert A., Organizations (John Wiley and Sons, New York, 1958).
 
21
McLaughlin, R.A. The (mis)use of DP in government agencies, Datamation, 27(7) (July, 1978):147-157.
 
22
Mihram, G.A. The modeling process, IEEE Trans. Systems, Man and Cybernetics 2(5) (November, 1972):621-629.
 
23
Pack, Howard and Pack, Janet Rothenberg, Urban land use models: the determinants of adoption and use, Policy Sciences 8 (1977):79-101.
 
24
Quinn. R., The impacts of a computerized information system on the integration and coordination of human services. Public Administration Review (March/April, 1976):166-174.
 
25
Simon, Herbert A., Designing organizations for an information rich world, in Greenberger, Martin, Computers, Communications, and the Public Interest (Johns Hopkins University Press, Baltimore, MD, 1971).
 
26
Simon, Herbert A. Applying information technology to organizational design, Public Administration Review 33 (May/June, 1973):268-287.
 
27
 
28
Sterling, Ted, Information for public policy, Computers and Society 5 (2) (Summer, 1974):2.
 
29
Strauss, Anselm, Negotiations: Varieties, Contexts, Processes, and Social Order, (Jossey-Bass, San Francisco, 1978).
 
30
Wilensky, Harold, Organizational Intelligence, (Basic Books, New York, 1967).