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 $A=\sum _{i=1,2,3}{a}_{i}$ 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; $S={S}_{ij}={\sum }_{i=1}^{n}{\sum }_{j=1}^{n}{U}_{ij}$ Decomposing (1), gives: $\sum _{y=1}^{n}{S}_{ji}=\sum _{i=1}{U}_{i}$ where (1) and (2) are conditionally premised on $\begin{array}{l}{S}_{i1}={U}_{i1}+{U}_{i2}+\cdots +{U}_{in}\\ \text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}⋮\\ {S}_{Ni}={U}_{N1}+{U}_{N2}+\cdots +{U}_{Nn}\end{array}\right\}$ premise 1 $\begin{array}{l}{S}_{j1}={U}_{j1}+{U}_{j2}+\cdots +{U}_{jn}\\ \text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}⋮\\ {S}_{Nj}={U}_{N1}+{U}_{N2}+\cdots +{U}_{Nn}\end{array}\right\}$ 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 $B={B}_{ij}={\sum }_{i=1}^{n}{\sum }_{j=1}^{n}{X}_{ij}$ Decomposing (1), gives: ${\sum }_{y=1}^{n}{B}_{ji}={\sum }_{i=1}{X}_{i}$ where (3) and (4) are conditionally premised on $\begin{array}{l}{B}_{i1}={X}_{i1}+{X}_{i2}+\cdots +{X}_{in}\\ \text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}⋮\\ {B}_{Ni}={X}_{N1}+{X}_{N2}+\cdots +{X}_{Nn}\end{array}\right\}$ premise 1 $\begin{array}{l}{B}_{j1}={X}_{j1}+{X}_{j2}+\cdots +{X}_{jn}\\ \text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}⋮\\ {B}_{Nj}={X}_{N1}+{X}_{N2}+\cdots +{X}_{Nn}\end{array}\right\}$ 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