System and method of intellectual/immaterial/intangible resource control

• US 20030236699A1
• Filed: 06/24/2002
• Published: 12/25/2003
• Est. Priority Date: 06/24/2002
• Status: Abandoned Application

• Current Assignee: Anne Krebs
• Original Assignee: Anne Krebs
• Inventors: Krebs, Anne
• Application Number:
  US10/179,457
• Publication Number:
  US 20030236699A1
• Time in Patent Office: Days
• US Class Current: 705/7.14
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

This invention relates to a method and a system for enabling measurement and control of immaterial/intellectual/intangible resources comprising a processing unit and a database, wherein the database comprises a data structure for a plurality of employees, the data structure comprising a plurality of identification data fields, each identification data field representing and identifying a given employee, at least one knowledge area data field, being associated with knowledge profile data and skill/competence profile data, representing a measure of knowledge and/or experience of an employee, and skill/competence profile data representing a measure of competence of an employee.

By introducing measurable units for intangible/immaterial/intellectual assets it is possible to plan and control these resource in a department, company, holding company, company portfolio for venture capitalists, etc. in a very simple, efficient and structure manner which may be automated to a very high extent.

Claims

1. A system for enabling measurement and control of immaterial/intellectual/intangible resources comprising

a processing unit,

at least one database in communication connection with the processing unit,

wherein said at least one database comprises a data structure for a plurality of employees, said data structure comprising

a plurality of identification data fields, each identification data field representing and identifying a given employee,

at least one knowledge area data field for each identification data field, each knowledge area data field representing a specific knowledge area and being associated with knowledge profile data and skill/competence profile data,

knowledge profile data for each knowledge area data field, the knowledge profile data representing a measure of knowledge and/or experience of an employee represented by said identification data field, and

skill/competence profile data for each knowledge area data field, the skill/competence profile data representing a measure of competence of an employee represented by said identification data field.

2. A system according to claim 1, wherein said knowledge profile data comprises a first type of numeric value within a predetermined range, the first type of numeric value determining a knowledge and/or experience level of an employee, represented by an associated identification data field, within the knowledge area represented by the associated knowledge area data field.

3. A system according to claim 1, wherein said skill/competence profile data comprises a first part comprising a creative competence profile data representing what an employee is capable of with a given knowledge and a second part comprising a performance competence profile data representing the degree of possible activity based on a given knowledge for the given employee.

4. A system according to claim 3, said creative competence profile data comprising a second type of numeric value within a predetermined range, the second type of numeric value determining the level of what an employee is capable of with a given knowledge.

5. A system according to claim 3, wherein said performance competence profile data comprises a third type of numeric value within a predetermined range, the third type of numeric value determining the level of possible activity based on a given knowledge for the given employee.

6. A system according to claim 2, wherein said first type of numeric value is an integer value selected from among the group consisting of 1, 2, 3, 4, 5 and where a numeric value of:

1 represents a knowledge level corresponding to high-school level within the associated specific knowledge area

2 represents a knowledge level corresponding to a bachelor degree level within the associated specific knowledge area

3 represents a knowledge level corresponding to a master degree level within the associated specific knowledge area

4 represents a knowledge level corresponding to a Phd degree level within the associated specific knowledge area, and

5 represents a knowledge level corresponding to Professorship within the associated specific knowledge area.

7. A system according to claim 2, wherein said third type of numeric value is an integer value and said predetermined range is [1 . . . 5] where an integer value of 1 represents a superfluous knowledge level within the associated specific knowledge area and an integer value of 5 represents a profound/deep knowledge level within the associated specific knowledge area.

8. A system according to claim 4, wherein said second type of numeric value is an integer value selected from among the group consisting of 1, 2, 3, 4, 5 and where a numeric value of:

1 represents that an employee is capable, with a given knowledge, of carrying through a dialog superficially and at an agreed time,

2 represents that an employee is capable, with a given knowledge, of reproducing a professional segment and has the ability to understand and interpret the professional segment,

3 represents that an employee is capable, with a given knowledge, of exemplifying and entering the professional segment in relevant contexts and wherein the person has knowledge of complementary professional segments and problems and is able to draw limits relative to profession and level, and/or is single looper in a limited number of areas of profession/subjects,

4 represents that an employee is capable, with a given knowledge, of using knowledge parts, estimating, analyzing, relating relative to defined goals and wherein the person is able to schedule the planning on meta-level, associate, orient himself, estimate and argue, and

5 represents that an employee is capable, with a given knowledge, of personally estimating context, relations, handling many levels of abstraction, complexities, combine in new ways, inter-relate/combine professions/subjects, methods, systems, and/or wherein the person is a double-looper.

9. A system according to claim 5, wherein said third type of numeric value is an integer value selected from among the group consisting of 1, 2, 3, 4, 5 and where a numeric value of:

1 represents that the given employee works most optimally alone in a known environment with known subject-matter,

2 represents that the given employee also works in a team with known subject-matter,

3 represents that the given employee also works both in a team and/or independently with known/unknown subject-matter in a known/unknown environment,

4 represents that the given employee also additionally is able to plan, arrange, engage, enthuse and take responsibility, and

5 represents that the given employee also additionally is able to move globally, win over a large foreign audience in a foreign language and create confidence through media.

10. A System according to claim 1, wherein said system further comprises means for generating a team for a specified project/task/etc., comprising

means for inputting/specifying knowledge and/or competence requirements for at least one knowledge area, and

means for searching in said database for at least one employee having knowledge profile data and/or competence profile data being a best match with the knowledge and/or competence requirements.

11. A system according to claim 10, wherein said system further comprises means for calculating a measure of difference between said at least one matched result and said inputted/specified knowledge and/or competence requirements.

12. A system according to claim 2, wherein said system further comprises means for generating an intangible key figure for a company by

calculating an aggregated knowledge score for a given knowledge area on the basis of a derived average of each of said first type of numeric values representing a knowledge/experience level of an employee, and/or

calculating an aggregated competence score for a given knowledge area on the basis of a derived average of each of said second type and/or said third type of numeric values representing a competence level of an employee.

13. A system for enabling measurement and control of immaterial/intellectual/intangible resources comprising

a processing unit,

at least one database in communication connection with the processing unit,

wherein said at least one database comprises a data structure, said data structure comprising data representing a measurable unit of at least one intangible asset associated with at least one identification data field, the identification data field representing and identifying a given production or business unit, and wherein

said system further comprises means for deriving at least one intangible key figure on the basis of said data structure.

14. A system according to claim 13, wherein said intangible asset represents one or more selected from the group of:

knowledge within a given knowledge area,

competence within a given knowledge area, and/or

an immaterial value.

15. A system according to claim 13, wherein said given production or business unit is selected from the group of:

a specific company in an venture capitalist portfolio,

a specific employee,

a department in a given company, and

a company belonging to a holding company.

16. A method of enabling measurement and control of immaterial/intellectual/intangible resources comprising storing in at least one database a data structure comprising, for a plurality of employees,

a plurality of identification data fields, each identification data field representing and identifying a given employee,

at least one knowledge area data field for each identification data field, each knowledge area data field representing a specific knowledge area and being associated with knowledge profile data and skill/competence profile data,

knowledge profile data for each knowledge area data field, the knowledge profile data representing a measure of knowledge and/or experience of an employee represented by said identification data field, and

skill/competence profile data for each knowledge area data field, the skill/competence profile data representing a measure of competence of an employee represented by said identification data field.

17. A method according to claim 16, wherein said knowledge profile data comprises a first type of numeric value within a predetermined range, the first type of numeric value determining a knowledge and/or experience level of an employee, represented by an associated identification data field, within the knowledge area represented by the associated knowledge area data field.

18. A method according to claim 16, wherein said skill/competence profile data comprises a first part comprising a creative competence profile data representing what an employee is capable of with a given knowledge and a second part comprising a performance competence profile data representing the degree of possible activity based on a given knowledge for the given employee.

19. A method according to claim 18, said creative competence profile data comprising a second type of numeric value within a predetermined range, the second type of numeric value determining the level of what an employee is capable of with a given knowledge.

20. A method according to claim 18, wherein said performance competence profile data comprises a third type of numeric value within a predetermined range, the third type of numeric value determining the level of possible activity based on a given knowledge for the given employee.

21. A method according to claim 17, wherein said first type of numeric value is an integer value selected from among the group consisting of 1, 2, 3, 4, 5 and where a numeric value of:

1 represents a knowledge level corresponding to high-school level within the associated specific knowledge area

2 represents a knowledge level corresponding to a bachelor degree level within the associated specific knowledge area

3 represents a knowledge level corresponding to a master degree level within the associated specific knowledge area

4 represents a knowledge level corresponding to a Phd degree level within the associated specific knowledge area, and

5 represents a knowledge level corresponding to Professorship within the associated specific knowledge area.

22. A method according to claim 17, wherein said third type of numeric value is an integer value and said predetermined range is [1 . . . 5] where an integer value of 1 represents a superfluous knowledge level within the associated specific knowledge area and an integer value of 5 represents a profound/deep knowledge level within the associated specific knowledge area.

23. A method according to claim 19, wherein said second type of numeric value is an integer value selected from among the group consisting of 1, 2, 3, 4, 5 and where a numeric value of:

1 represents that an employee is capable, with a given knowledge, of carrying through a dialog superficially and at an agreed time,

2 represents that an employee is capable, with a given knowledge, of reproducing a professional segment and has the ability to understand and interpret the professional segment,

3 represents that an employee is capable, with a given knowledge, of exemplifying and entering the professional segment in relevant contexts and wherein the person has knowledge of complementary professional segments and problems and is able to draw limits relative to profession and level, and/or is single looper in a limited number of areas of profession/subjects,

4 represents that an employee is capable, with a given knowledge, of using knowledge parts, estimating, analyzing, relating relative to defined goals and wherein the person is able to schedule the planning on meta-level, associate, orient himself, estimate and argue, and

5 represents that an employee is capable, with a given knowledge, of personally estimating context, relations, handling many levels of abstraction, complexities, combine in new ways, inter-relate/combine professions/subjects, methods, systems, and/or wherein the person is a double-looper.

24. A method according to claim 20, wherein said third type of numeric value is an integer value selected from among the group consisting of 1, 2, 3, 4, 5 and where a numeric value of:

1 represents that the given employee works most optimally alone in a known environment with known subject-matter,

2 represents that the given employee also works in a team with known subject-matter,

3 represents that the given employee also works both in a team and/or independently with known/unknown subject-matter in a known/unknown environment,

4 represents that the given employee also additionally is able to plan, arrange, engage, enthuse and take responsibility, and

5 represents that the given employee also additionally is able to move globally, win over a large foreign audience in a foreign language and create confidence through media.

25. A method according to claim 16, wherein said method comprises the step of generating a team for a specified project/task/etc., said step comprising

inputting/specifying knowledge and/or competence requirements for at least one knowledge area, and

searching in said database for at least one employee having knowledge profile data and/or competence profile data being a best match with the knowledge and/or competence requirements.

26. A method according to claim 25, wherein said method further comprises calculating a measure of difference between said at least one matched result and said inputted/specified knowledge and/or competence requirements.

27. A method according to claim 17, wherein said method further comprises generating an intangible key figure for a company by

calculating an aggregated knowledge score for a given knowledge area on the basis of a derived average of each of said first type of numeric values representing a knowledge/experience level of an employee, and/or

calculating an aggregated competence score for a given knowledge area on the basis of a derived average of each of said second type and/or said third type of numeric values representing a competence level of an employee.

31. A computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 16.

28. A method for enabling measurement and control of immaterial/intellectual/intangible resources comprising

a processing unit,

at least one database in communication connection with the processing unit,

wherein said at least one database comprises a data structure, said data structure comprising data representing a measurable unit/level of at least one intangible asset associated with at least one identification data field, the identification data field representing and identifying a given production or business unit, and wherein

said system further comprises deriving at least one intangible key figure on the basis of said data structure.

29. A method according to claim 28, wherein said intangible asset represents one or more selected from the group of:

knowledge within a given knowledge area,

competence within a given knowledge area, and/or

an immaterial value.

30. A method according to claim 28, wherein said given production or business unit is selected from the group of:

a specific company in an venture capitalist portfolio,

a specific employee,

a department in a given company, and

a company belonging to a holding company.