The Economics of Computers
Centralized versus decentralized computing: organizational considerations and management options
ACM Computing Surveys (CSUR)
Grosch's law re-revisited: CPU power and the cost of computation
Communications of the ACM
The relationship between benchmark tests and microcomputer price
Communications of the ACM - The MIT Press scientific computation series
Attributes of the performance of central processing units: a relative performance prediction model
Communications of the ACM
Computer hardware performance: production and cost function analyses
Communications of the ACM
Economic analysis of microcomputer hardware
Communications of the ACM - Special issue on simulation
Hedonic price analysis of workstation attributes
Communications of the ACM
Comments on price/performance patterns of U. S. computer systems
Communications of the ACM
Communications of the ACM
Technical correspondence: on price/performance in U.S. computer systems
Communications of the ACM
Technical correspondence: measuring the level of computerization in a country
Communications of the ACM
Technical corrections: Onspelling correction and beyond
Communications of the ACM
Database evaluation using multiple regression techniques
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Researching the costs of information systems
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Design decisions for the intelligent database machine
AFIPS '80 Proceedings of the May 19-22, 1980, national computer conference
Structured procedure for comparison and selection of computer system designs
AFIPS '80 Proceedings of the May 19-22, 1980, national computer conference
| Hi-index | 48.36 |
Econometric models of the U.S. computer market have been developed to study the relationships between system price and hardware performance. Single measures of price/performance such as “Grosch's Law” are shown to be so oversimplified as to be meaningless. Multiple-regression models predicting system cost as a function of several hardware characteristics do, however, reveal a market dichotomy. On one hand there exists a stable, price predictable market for larger, general purpose computer systems. The other market is the developing one for small business computer systems, a market which is relatively unstable with low price predictability.