Step 1: Recall the Newton-Raphson formula.
The Newton-Raphson method is an iterative method used to find approximations to the roots of a real-valued function. The formula is given by:
\[
x_{n+1} = x_n - \frac{f(x_n)}{f'(x_n)}.
\]
Where:
\( f(x) \) is the function,
\( f'(x) \) is the derivative of the function,
\( x_n \) is the current approximation.
Step 2: Define the function and its derivative.
We are given the equation \( e^x - 2 = 0 \), which can be rewritten as:
\[
f(x) = e^x - 2.
\]
The derivative of \( f(x) \) is:
\[
f'(x) = e^x.
\]
Step 3: Apply the Newton-Raphson method.
The initial guess is \( x_0 = 1 \). Now we apply the formula to find \( x_1 \) after one iteration:
\[
x_1 = x_0 - \frac{f(x_0)}{f'(x_0)}.
\]
Substitute the values of \( f(x_0) \) and \( f'(x_0) \) when \( x_0 = 1 \):
\[
f(1) = e^1 - 2 = e - 2 \approx 0.7183,
\]
\[
f'(1) = e^1 = e \approx 2.7183.
\]
Now substitute into the Newton-Raphson formula:
\[
x_1 = 1 - \frac{0.7183}{2.7183} \approx 1 - 0.2642 = 0.7358.
\]
Step 4: Conclusion.
After one iteration of the Newton-Raphson method, the approximated value of the root is \( \boxed{0.74} \) (rounded to two decimal places).