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Using Personality to Identify High Tech
Career Preference in Military Recruits


              David Fleming
               Heather Jia
RESEARCH MOTIVATION
•  U.S. Military
 •  Innovative marketer in terms of recruitment strategy.
 •  Using entertainment (i.e., video games) to attract today’s recruits
 •  An opportunity to recruit the next generation of soldiers
 •  Facing budget cuts
 •  Must get most “bang for buck”


•  Military jobs are becoming more technical and complex
 •  Bureau of Labor statistics (Occupational Outlook Handbook)
 •  Must select those recruits that are best able to perform the necessary tasks
RESEARCH MOTIVATION
•  Objectives:
 •  Create links between currently administered personality inventories
    (personality), recruit affinity for technology and the desire for high
    technology military careers


•  Goal:
 •  Allow recruiters to evaluate the potential fit of recruits
 •  Select those that fit the needs of the new, high tech military
 •  Avoid significant cost increases from the administration of additional tests
PERSONALITY
Five Factor Model of Personality from Costa &McCrae,
   1985
•  Openness to Experience – intellectually curious, creative,
   imaginative
•  Conscientiousness – focused, task-oriented, thorough
•  Agreeableness – kind, cooperative, generous, trusting
•  Extraversion – sociable, dominant, energetic, positive
•  Neuroticism – anxious, moody, envious
AFFINITY FOR TECHNOLOGY
•  Affinity for Technology (AFT) from Edison and Geissler, 2003
 •  “positive affect toward technology (in general)” (p. 140).
 •  Antecedents
     •  Optimism
     •  Need for cognition
     •  Self-efficacy.
 •  Moderated by age, and gender
 •  Key outcomes
     •  Market mavenism (Geissler & Edison 2005)
     •  Self-Directed learning project use (Fleming & Artis, Forthcoming)
CONGRUITY THEORY
•  Introduced by Sirgy (1980, 1981, 1982a, 1982b)
•  Based on the view that people possess multiple self-concepts
•  Focuses on the ideal, actual & social self (Sirgy, 1982c)
 •  Ideal self - how an individual would like to see him/herself .
 •  Actual self - how an individual views himself or herself
 •  Social self - how an individual would like others to see him or her.
 •  Consumers were more likely to select products that possessed traits which were
    consistent with positive aspects their self-image
CONGRUITY THEORY
•  Consumers are more likely to be loyal to a firm that
   they perceive as having an image consistent their own
   (Sirgy and Samli, 1985)
•  Customers are more likely to report a positive service
   experience if they perceive the firm as having
   personality traits congruent with their own (Harris and
   Fleming, 2005).
•  People who had high congruence between their
   personality and work environment were more likely to
   be persistent in their current career Donohue (2006)
PROPOSITIONS
•  P1a: Openness to experience is positively related to AFT.

•  P1b. Conscientiousness is positively related to AFT.

•  P1c. Agreeableness is positively related to AFT.

•  P1d. Extraversion is positively related to AFT.

•  P1e. Neuroticism is negatively related to AFT.
PROPOSITIONS
•  P2: AFT is positively related to the preference of a high
   technology military career by the recruit.

•  P3: AFT is positively related to the amount of time spent on
   military websites prior to joining the armed forces.
CONCEPTUAL MODEL
MEASURES
•  Personality Five Factor Model
 •  Adapted from Mowen (2000)
 •  4 items per factor (20 items total)
•  Affinity for technology
 •  Geissler & Edison (2005)
 •  7 items
•  Career Choice
 •  Branch of service
 •  Expected job
•  Time on website
 •  Single question
 •  Approximate number of hours before joining the military
IMPLICATIONS
•  Provides additional metrics for identifying potential soldiers best
   suited for the high tech careers needed in the modern military
•  Demonstrates empirically whether the military websites as
   currently designed/implemented actually draw those potential
   soldiers who possess the desired skill sets
•  Shows whether other modern technology based recruiting tools,
   such as video games, are effective in generating recruits who fit
   the target profile of the modern military
•  Creates additional nomological links for personality and affinity
   for technology based on established theory
Using personality to identify high technology career preference

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Using personality to identify high technology career preference

  • 1. Using Personality to Identify High Tech Career Preference in Military Recruits David Fleming Heather Jia
  • 2. RESEARCH MOTIVATION •  U.S. Military •  Innovative marketer in terms of recruitment strategy. •  Using entertainment (i.e., video games) to attract today’s recruits •  An opportunity to recruit the next generation of soldiers •  Facing budget cuts •  Must get most “bang for buck” •  Military jobs are becoming more technical and complex •  Bureau of Labor statistics (Occupational Outlook Handbook) •  Must select those recruits that are best able to perform the necessary tasks
  • 3. RESEARCH MOTIVATION •  Objectives: •  Create links between currently administered personality inventories (personality), recruit affinity for technology and the desire for high technology military careers •  Goal: •  Allow recruiters to evaluate the potential fit of recruits •  Select those that fit the needs of the new, high tech military •  Avoid significant cost increases from the administration of additional tests
  • 4. PERSONALITY Five Factor Model of Personality from Costa &McCrae, 1985 •  Openness to Experience – intellectually curious, creative, imaginative •  Conscientiousness – focused, task-oriented, thorough •  Agreeableness – kind, cooperative, generous, trusting •  Extraversion – sociable, dominant, energetic, positive •  Neuroticism – anxious, moody, envious
  • 5. AFFINITY FOR TECHNOLOGY •  Affinity for Technology (AFT) from Edison and Geissler, 2003 •  “positive affect toward technology (in general)” (p. 140). •  Antecedents •  Optimism •  Need for cognition •  Self-efficacy. •  Moderated by age, and gender •  Key outcomes •  Market mavenism (Geissler & Edison 2005) •  Self-Directed learning project use (Fleming & Artis, Forthcoming)
  • 6. CONGRUITY THEORY •  Introduced by Sirgy (1980, 1981, 1982a, 1982b) •  Based on the view that people possess multiple self-concepts •  Focuses on the ideal, actual & social self (Sirgy, 1982c) •  Ideal self - how an individual would like to see him/herself . •  Actual self - how an individual views himself or herself •  Social self - how an individual would like others to see him or her. •  Consumers were more likely to select products that possessed traits which were consistent with positive aspects their self-image
  • 7. CONGRUITY THEORY •  Consumers are more likely to be loyal to a firm that they perceive as having an image consistent their own (Sirgy and Samli, 1985) •  Customers are more likely to report a positive service experience if they perceive the firm as having personality traits congruent with their own (Harris and Fleming, 2005). •  People who had high congruence between their personality and work environment were more likely to be persistent in their current career Donohue (2006)
  • 8. PROPOSITIONS •  P1a: Openness to experience is positively related to AFT. •  P1b. Conscientiousness is positively related to AFT. •  P1c. Agreeableness is positively related to AFT. •  P1d. Extraversion is positively related to AFT. •  P1e. Neuroticism is negatively related to AFT.
  • 9. PROPOSITIONS •  P2: AFT is positively related to the preference of a high technology military career by the recruit. •  P3: AFT is positively related to the amount of time spent on military websites prior to joining the armed forces.
  • 11. MEASURES •  Personality Five Factor Model •  Adapted from Mowen (2000) •  4 items per factor (20 items total) •  Affinity for technology •  Geissler & Edison (2005) •  7 items •  Career Choice •  Branch of service •  Expected job •  Time on website •  Single question •  Approximate number of hours before joining the military
  • 12. IMPLICATIONS •  Provides additional metrics for identifying potential soldiers best suited for the high tech careers needed in the modern military •  Demonstrates empirically whether the military websites as currently designed/implemented actually draw those potential soldiers who possess the desired skill sets •  Shows whether other modern technology based recruiting tools, such as video games, are effective in generating recruits who fit the target profile of the modern military •  Creates additional nomological links for personality and affinity for technology based on established theory