Concept:
The Newton-Raphson method is an iterative method for finding the roots of a nonlinear equation
\[
f(x)=0.
\]
The iteration formula is
\[
x_{n+1}
=
x_n-\frac{f(x_n)}{f'(x_n)}.
\]
Step 1: Find \(f(x)\) and \(f'(x)\).
Given,
\[
f(x)=1+x-x^3.
\]
Differentiating,
\[
f'(x)=1-3x^2.
\]
Step 2: Find the first approximation.
Given,
\[
x_0=1.
\]
Now,
\[
f(1)=1+1-1=1,
\]
and
\[
f'(1)=1-3=-2.
\]
Therefore,
\[
x_1
=
1-\frac{1}{-2}
=
1+\frac12
=
\frac32.
\]
Step 3: Find the second approximation.
Using
\[
x_1=\frac32,
\]
we have
\[
f\!\left(\frac32\right)
=
1+\frac32-\left(\frac32\right)^3
=
\frac52-\frac{27}{8}
=
-\frac78.
\]
Also,
\[
f'\!\left(\frac32\right)
=
1-3\left(\frac32\right)^2
=
1-\frac{27}{4}
=
-\frac{23}{4}.
\]
Hence,
\[
x_2
=
\frac32
-
\frac{-\frac78}{-\frac{23}{4}}
=
\frac32-\frac{7}{46}
=
\frac{69-7}{46}
=
\frac{62}{46}
=
\frac{31}{23}.
\]
Therefore,
\[
\boxed{x_2=\frac{31}{23}.}
\]
Hence, the correct option is
\[
\boxed{\left(C\right)\;\frac{31}{23}.}
\]