Variables

Descriptions

1) Academic qualification

It was detected from the data that the minimum academic qualification was a bachelor degree and the highest was a PhD; This was expressed as

$A={\displaystyle \sum _{i=1,2,3}{a}_i}$

where

a = Corresponding academic qualification score

A = Total Score obtained on individual academic qualifications

i = Individual scores of academic equation

2) Educational Institutions attended

The Times Higher Education Ranking was used. This is expressed as;

$S=S_{ij}={\displaystyle {\sum }_{i=1}^n{\displaystyle {\sum }_{j=1}^n{U}_{ij}}}$

Decomposing (1), gives:

${\displaystyle \sum _{y=1}^n{S}_{ji}}={\displaystyle \sum _{i=1}{U}_i}$

where (1) and (2) are conditionally premised on

$\begin{array}{l}{S}_{i1}=U_{i1}+U_{i2}+\cdots +U_{in}\\ ⋮\\ S_{Ni}=U_{N1}+U_{N2}+\cdots +U_{Nn}\end{array}\}$ premise 1

$\begin{array}{l}{S}_{j1}=U_{j1}+U_{j2}+\cdots +U_{jn}\\ ⋮\\ S_{Nj}=U_{N1}+U_{N2}+\cdots +U_{Nn}\end{array}\}$ premise

where

$S_{i1}$ = Total universities an individual has attended.

$U_{in}$ = Individual score of a University

i & j = Universities

3) Countries

The 2017 Global Human Capital Index was adopted. This was expressed as

$B=B_{ij}={\displaystyle {\sum }_{i=1}^n{\displaystyle {\sum }_{j=1}^n{X}_{ij}}}$

Decomposing (1), gives:

${\displaystyle {\sum }_{y=1}^n{B}_{ji}}={\displaystyle {\sum }_{i=1}{X}_i}$

where (3) and (4) are conditionally premised on

$\begin{array}{l}{B}_{i1}=X_{i1}+X_{i2}+\cdots +X_{in}\\ ⋮\\ B_{Ni}=X_{N1}+X_{N2}+\cdots +X_{Nn}\end{array}\}$ premise 1

$\begin{array}{l}{B}_{j1}=X_{j1}+X_{j2}+\cdots +X_{jn}\\ ⋮\\ B_{Nj}=X_{N1}+X_{N2}+\cdots +X_{Nn}\end{array}\}$ premise 2

where

$B_{i1}$ = Total countries an individual has visited

$X_{in}$ = Individual score of a country

i & j = Countries

4) Experience

The work experience attributed coefficient of an actor within this study was derived as

$E=E\left(x\right)=n$

where

E = Total score of Experience

n = Number of years of experience