OPTIMIZATION OF TRAIT AND EXPERTISE FOR WORKFORCE SELECTION

• US 20160203433A1
• Filed: 01/12/2015
• Published: 07/14/2016
• Est. Priority Date: 01/12/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Shami, N. Sadat, Chen, Jilin, Mahmud, Jalal U., Pal, Aditya, Wang, Fei
• Application Number:
  US14/594,200
• Publication Number:
  US 20160203433A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task

Abstract

A computer-implemented method for optimizing information workforce selection is provided. The computer-implemented method includes providing a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection. The computer-implemented method further includes determining at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates. The computer-implemented method further includes performing trait compability analysis that provides a compatibility score of potential candidates of the plurality of candidates, for a group. The computer-implemented method further includes performing a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates. The computer-implemented method further includes optimizing at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection.

Claims

1. A computer-implemented method for optimizing information for workforce selection, based on modeling of intrinsic traits and expertise of an individual or a team, the computer-implemented method comprising:

providing a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection, the ground-truth data collection includes performance rating assessments of the candidates;

determining at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates, based on the ground-truth data collection, for the group or the team workforce selection;

performing a trait compability analysis that provides a compatibility score of potential candidates, of the plurality of candidates, for the group, the trait compability analysis utilizes a supervised model that determines compatibility of the potential candidates for the group, based on a co-efficient of the expertise and traits characteristics, as functions of the potential candidates;

performing a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates, for performing a task of the workforce by a pair of candidates, based on a prior collaboration history and a collaborative expertise and a plurality of collaborative traits characteristics of the plurality of potential candidates; and

optimizing at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection for performing a specific task, based on a result of the trait compability analysis and the collaboration compability analysis.

2. The computer-implemented method according to claim 1, further comprising:

filtering the plurality of candidates for the workforce selection, based on desired trait characters of the expertise and traits characteristics of the plurality of candidates.

3. The computer-implemented method according to claim 2, wherein the desired trait characteristics are based on a plurality of personality dimensions of the plurality of candidates, for the workforce selection.

4. The computer-implemented method according to claim 1, wherein the ground-truth data collection is based on a compilation workforce data, or a survey from an organization, or a plurality of data of multi-media contents of the plurality of candidates.

5. The computer-implemented method according to claim 1, wherein the expertise characteristic comprises at least one of a plurality of qualifications, a plurality of experiences, or a plurality of knowledge of the plurality of candidates.

6. The computer-implemented method according to claim 1, wherein the trait characteristic comprises at least one of a personality or a humanistic value of the plurality of candidates.

7. The computer-implemented method according to claim 1, wherein the optimizing step further comprises:

compiling a total fitness score for the at least one individual candidate or the team of candidates within the plurality of candidates, for performing a specific workforce task.

8. A computer system for optimizing information for workforce selection, based on modeling of intrinsic traits and expertise of an individual or a team, the computer system comprising:

one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices and program instructions which are stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the program instructions comprising;

program instructions to provide a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection, the ground-truth data collection includes performance rating assessments of the candidates;

program instructions to determine at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates, based on the ground-truth data collection, for the group or the team workforce selection;

program instructions to perform a trait compability analysis that provides a compatibility score of potential candidates, of the plurality of candidates, for the group, the trait compability analysis utilizes a supervised model that determines compatibility of the potential candidates for the group, based on a co-efficient of the expertise and traits characteristics, as functions of the potential candidates;

program instructions to perform a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates, for performing a task of the workforce by a pair of candidates, based on a prior collaboration history and a collaborative expertise and a plurality of collaborative traits characteristics of the plurality of potential candidates; and

program instructions to optimize at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection for performing a specific task, based on a result of the trait compability analysis and the collaboration compability analysis.

9. The computer system according to claim 8, further comprises:

program instruction to filter the plurality of candidates for the workforce selection, based on desired trait characters of the expertise and traits characteristics of the plurality of candidates.

10. The computer system according to claim 9, wherein the desired trait characteristics are based on a plurality of personality dimensions of the plurality of candidates, for the workforce selection.

11. The computer system according to claim 8, wherein the ground-truth data collection is based on a compilation workforce data, or a survey from an organization, or a plurality of data of multi-media contents of the plurality of candidates.

12. The computer system according to claim 8, wherein the expertise characteristic comprises at least one of a plurality of qualifications, a plurality of experiences, or a plurality of knowledge of the plurality of candidates.

13. The computer system according to claim 8, wherein the trait characteristic comprises at least one of personality or humanistic values of the plurality of candidates.

14. The computer system according to claim 8, wherein the optimizing step further comprises:

compiling a total fitness score for the individual candidates or the team of candidates of the plurality of candidates, for performing a specific workforce task.

15. A computer program product for optimizing information for workforce selection, based on modeling of intrinsic traits and expertise of an individual or a team, the computer program product comprises:

one or more computer-readable tangible storage devices and program instructions stored on at least one of the one or more storage devices, the program instructions comprising;

program instructions to provide a ground-truth data collection of information of a plurality of candidates for a group or a team workforce selection, the ground-truth data collection includes performance rating assessments of the candidates;

program instructions to determine at least one expertise and at least one trait characteristic, or at least one feature of each of the candidates within the plurality of candidates, based on the ground-truth data collection, for the group or the team workforce selection;

program instructions to perform a trait compability analysis that provides a compatibility score of potential candidates, of the plurality of candidates, for the group, the trait compability analysis utilizes a supervised model that determines compatibility of the potential candidates for the group, based on a co-efficient of the expertise and traits characteristics, as functions of the potential candidates;

program instructions to perform a collaboration compability analysis that provides a collaboration compatibility score of plurality of potential candidate within the plurality of candidates, for performing a task of the workforce by a pair of candidates, based on a prior collaboration history and a collaborative expertise and a plurality of collaborative traits characteristics of the plurality of potential candidates; and

program instructions to optimize at least one individual candidate or a team of candidates within the plurality of candidates, for the workforce selection for performing a specific task, based on a result of the trait compability analysis and the collaboration compability analysis.

16. The computer program product according to claim 15, further comprises:

program instruction to filter the plurality of candidates for the workforce selection, based on desired trait characters of the expertise and traits characteristics of the plurality of candidates.

17. The computer program product according to claim 16, wherein the desired trait characteristics are based on a plurality of personality dimensions of the plurality of candidates, for the workforce selection.

18. The computer program product according to claim 15, wherein the ground-truth data collection is based on a compilation workforce data, or a survey from an organization, or a plurality of data of multi-media contents of the plurality of candidates

19. The computer program product according to claim 15, wherein the trait characteristic comprises at least one of personality or humanistic values of the plurality of candidates.

20. The computer program product according to claim 15, wherein the optimizing step further comprises:

compiling a total fitness score for the individual candidates or the team of candidates of the plurality of candidates, for performing a specific workforce task.