Related Experiment Video
Updated: Jun 20, 2026

13:04
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Assessing IT expenditures in an uncertain economy
1Kurt Salmon Associates, New York, NY, USA. gerard.nussbaum@kurtsalmon.com
Summary
Chief Financial Officers (CFOs) and Chief Information Officers (CIOs) can maximize IT investment value by reviewing portfolios, contracts, and spending. Strategic analysis and lifecycle management are key to cost-effective IT solutions.
Area of Science:
- Information Technology Management
- Financial Strategy
- Business Operations
Background:
- Organizations face challenges in optimizing Information Technology (IT) investments for maximum value and minimal cost.
- Effective financial and IT governance requires strategic approaches to resource allocation and expenditure.
Purpose of the Study:
- To outline key strategies for Chief Financial Officers (CFOs) and Chief Information Officers (CIOs) to enhance IT investment returns.
- To identify cost-saving measures and value-maximization techniques within IT operations.
Main Methods:
- Review of IT investment portfolios.
- Analysis of IT spending, return on investment (ROI), labor productivity, and strategic project alignment.
- Examination of contract negotiation, lifecycle management, data management, and crisis-driven opportunities.
Main Results:
- Systematic portfolio and contract reviews are crucial for identifying cost-saving opportunities.
- Detailed analysis of IT spend and ROI provides a basis for informed decision-making.
- Proactive lifecycle and data management, alongside leveraging crisis situations, contribute to overall IT value.
Conclusions:
- A multi-faceted approach encompassing financial oversight, strategic IT planning, and operational efficiency is essential.
- CFOs and CIOs can achieve significant cost reductions and value enhancement through diligent application of these methods.
Related Concept Videos
The Anchoring-and-Adjustment Heuristic
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...
Uncertainty: Overview
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
What are Estimates?
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates.
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such as the mean,...
Actuarial Approach
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
