Paradox Lost? Firm-level Evidence on the Returns to Information Systems Spending
- 최초 등록일
- 2011.01.07
- 최종 저작일
- 2010.01
- 8페이지/
MS 워드
- 가격 3,000원
소개글
IT Paradox에 대한 입장의 경영/회계 보고서입니다. IT 비용은 증가하는데 비해서 경영 효율성을 떨어지는 원인이 희귀현상에 대한 간략 분석 보고서입니다.
영어로 작성, 미국인 감수 영문리포트입니다.
목차
Paradox Lost? Firm-level Evidence on the Returns to Information Systems Spending
1. Introduction
1.1 Past Data Issues
1.2 Theory of the study and related data issues
2. Methods and Data
2.1 Comparison with earlier research
3. Results
4. Recommendations
본문내용
1. Introduction
This executive summary discusses the article Paradox Lost? Firm-level Evidence on the Returns to Information Systems Spending by Erik Brynjofsson and Lorin Hitt. The purpose of this article is to touch on research results that contradict the productivity paradox of information systems and the methods used to uncover these findings. The productivity paradox of information systems is defined as firms having no increase in aggregate output as a result of increased spending on technology and vast improvements in technology. This so-called phenomenon has been studied as far back as 1968, by Berndt and Morrison.
Earlier studies that have supported the productivity paradox theory were the result of misleading measures of output that did not accurately reflect value-added output measures relating to information systems. Value-added output could be classified as an increase in finished product quality, an enhanced customer focused business approach, or any other improvements to the business as a result of the implementation of information systems.
As stated in the above paragraph, the Paradox Lost study revealed new results that conflict earlier findings. There are five years worth of surveys from several hundred large firms that result in a total of 1,121 observations. This research was conducted in a period from 1987 – 1991. The companies in the sample population for this study accounted for approximately 13% of the total U.S. gross domestic product. Brynjolfsson and Hitt used several various sources of data to construct several econometric models to aid in their analysis of information systems productivity. This allowed them to get a more transparent view of the actual contribution of information systems in the firms sampled.
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