Which of the following does not have an impact on the level of risk in information systems projects?

Question

BlackTom AI · Accepted Answer

Risk in information systems projects is driven by factors that increase uncertainty, complexity, or the likelihood of failure—such as team capability, project scope, organizational structure, and size—rather than by the particular financial evaluation technique used.

1) Relevant knowledge points and concepts
- Project risk arises from technical complexity, human expertise, scale, and governance (project structure).
- Capital budgeting models (NPV, IRR, payback) are financial evaluation tools used to decide whether to undertake or prioritize projects; they measure expected financial outcomes, not technical or execution risk.

2) Step-by-step reasoning
1. Identify each option’s relationship to risk:
   - Project team's level of technical expertise: directly affects ability to deliver, handle problems, and meet quality/timelines → influences risk.
   - Project structure: defines roles, decision authority, communication paths; poor structure increases miscoordination and scope creep → increases risk.
   - Information systems staff's level of technical expertise: same as project team expertise; staffing skill affects implementation success → increases risk.
   - Capital budgeting model chosen to evaluate the system: a decision-analysis tool used before/after project selection; it does not change the project’s technical complexity, team skills, or organizational arrangements → does not inherently change risk.
   - Project size: larger projects generally have more components, interfaces, and dependencies → higher risk.

2. Separate evaluation (what determines risk) from evaluation method (how we measure value). The capital budgeting model may affect whether a project is approved, but it does not alter intrinsic execution risk once the project exists.

3) Intermediate logic steps
- If risk = f(skill, size, structure, complexity), the capital budgeting model is outside that function; it’s a financial input, not a control variable for execution risk.

4) Why the correct answer is correct
- The capital budgeting model chosen to evaluate the system does not change technical or organizational variables that create risk; it only frames the financial assessment.

5) Why other options are incorrect (brief)
- Team and IS staff technical expertise, project structure, and project size all directly influence uncertainty, complexity, and likelihood of problems—hence they affect risk.

Conclusion: The correct choice is "The capital budgeting model chosen to evaluate the system," which matches the provided answer.

Which of the following does not have an impact on the level of risk in information systems projects? 单项选择题

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