The experience textual-structure captures a representation of the different forms of background experiences that a manager is described as having, and how those experiences are described. Details captured include:
- The length of time that the experience is listed as
- Characterizations of the experience, for example whether that experience is heightened with words such as 'highly experienced',
- The area that the experience is described as pertaining to, broken into functional, industry, and geographic areas.
Note on closely connected 'experience' terms: Since the background of a manager can be described without using the word 'experience', the textual structure represent the spectrum of closely connected concepts, including 'knowledge', 'insight', and 'ability' (a full listing of groupings captured can be found here). The property EXPERIENCE_TYPE captures the
While this ensures that the broad spectrum of experience-related sentences are thus captured, should only a subset of permutations of experience pertain to a particular research question, it is possible to restrict analysis to a subset of groupings, ignoring permutations that may not be relevant to a particular research question.
Specification
| Property | Type | Comments |
|---|---|---|
| LENGTH_OF_TIME | LENGTH_OF_TIME | All specific lengths of time e.g., 5 years |
| EXPERIENCE_TYPE | List: Standardized String |
List of all . Experiences
See Experience Types below. |
| CHARACTERIZATION | CHARACTERIZATION | All qualitative description of experience |
| FUNCTIONAL_AREA | FUNCTIONAL_AREA | Functional areas corresponding to functional background |
| INDUSTRY | COMPANY-INDUSTRY_AREA | All industries |
| REGION | CHARACTERIZATION-REGION | All non-specific regions (e.g., 'global'), based on the REGION, based on REGION property of the CHARACTERIZATION textual structure |
| GEOGRAPHIC_AREA | LOCATION | Specific countries / regions mentioned |
sdf
Examples: Individual Experiences
{
"ORIGINAL":"worked in the automotive industry for 5 years",
"LENGTH_OF_TIME":{"ORIGINAL":"5 years","UNIT":"YEAR","QUANTITY":5},
"AREAS":{"ORIGINAL":"automotive industry","NAICS_3_DIGIT":336,
"NAICS_3_DESCRIPTION":"Transportation Equipment Manufacturing"},
"EXPERIENCE_TYPE":{"ORIGINAL":"worked","TYPE":"WORK"}
}
{
"ORIGINAL":"20 year career in the global oil and gas industry",
"LENGTH_OF_TIME":{"ORIGINAL":"5 years","UNIT":"YEAR","QUANTITY":5},
"AREAS":{"ORIGINAL":"oil and gas industry","NAICS_3_DIGIT":211,
"NAICS_3_DESCRIPTION":"Oil and Gas Extraction"},
"REGION":{"ORIGIINAL":"global","TYPE":"GLOBAL/INTERNATIONAL"},
"EXPERIENCE_TYPE":{"ORIGINAL":"career","TYPE":"CAREER"}
}
Examples: Overall Usage in Sentences
sdf
{
"ORIGINAL_SENTENCE":"Jane Doe has spent 5 years working in the automotive industry",
"BACKGROUND":{"PERSON_NAME":{"ORIGINAL":"Mr. Doe","NAME_TITLE":"MR","LAST_NAME":"DOE"},
"EXPERIENCE":[{"ORIGINAL":"worked in the automotive industry for 5 years"
"LENGTH_OF_TIME":{"ORIGINAL":"5 years","UNIT":"YEAR","QUANTITY":5},
"AREAS":{"ORIGINAL":"automotive industry","NAICS_3_DIGIT":336,
"NAICS_3_DESCRIPTION":"Transportation Equipment Manufacturing"},
"EXPERIENCE_TYPE":{"ORIGINAL":"worked","TYPE":"WORK"}
}
Commonly Occurring Experience Types
Below details common experience types, along with example usage. A full list of experience types can be found here.
| Experience Type | Example Usage |
|---|---|
| EXPERIENCE | Significant experience in marketing, accounting and economics |
| KNOWLEDGE | Knowledge of accounting |
| BACKGROUND | Accounting background |
| INSIGHT | Broad understanding of operational, financial and strategic issues |
| PERSPECTIVE | Unique perspective |
| CAREER | Career in the engineering, procurement, and construction industry |
| QUALIFICATIONS | Qualifications [and experience] in accounting |
| FAMILIARITY | Familiar with the Company's business and industry |
| ABILITY | Ability to lead |
| SKILL | Management skills |