Domains of strong computer impact: Historically, in which of the following organizational areas have computers been applied most effectively, due to intensive calculation and design needs?

Difficulty: Easy

Correct Answer: engineering

Explanation:


Introduction / Context:
While information systems are now ubiquitous, some organizational functions realized outsized early gains from computing. Understanding where computers historically delivered the strongest impact helps explain technology adoption patterns and current best practices.


Given Data / Assumptions:

  • We compare functional areas: marketing, manufacturing, HR, and engineering.
  • We focus on historical effectiveness, not present-day parity across functions.
  • Engineering often involves heavy numeric computation and modeling.


Concept / Approach:
Engineering rapidly embraced Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), finite element analysis, and simulation—tasks that demand precise computation and visualization. These applications transformed product design cycles, tolerancing, stress testing, and prototyping, often more dramatically than early applications in other areas.


Step-by-Step Solution:
Identify the function with the greatest need for numerical modeling and precision.Recall early and transformative tools (CAD/CAE, simulation) widely adopted in engineering.Select engineering as the area with historically the most effective application of computing.


Verification / Alternative check:
Industry case studies show drastic reductions in design time and errors after adoption of CAD/CAE, ahead of broader analytics in marketing and HR.


Why Other Options Are Wrong:

  • Marketing: Significant gains came later with CRM and digital analytics.
  • Manufacturing: Also impacted (for example, CNC, MRP), but engineering saw earlier, direct computational benefits in design.
  • Personnel (HR): Gains were administrative first (payroll, records) rather than computational.
  • None of the above: Incorrect; engineering is correct.


Common Pitfalls:
Assuming current analytics leadership in marketing or advanced automation in manufacturing implies earlier or greater initial impact than engineering’s well-documented CAD/CAE revolution.


Final Answer:
engineering

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