Date post: | 21-Jul-2015 |
Category: |
Recruiting & HR |
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Information-enriched technologysupporting goal-setting to enhance
person-job fit:
Theoretical Input
V Kobayashi, S T Mol, and G Kismihók 1
Prepared by: V Kobayashi
S T Mol
G Kismihók
CJKR, HRM-OB, ABS, UvA
ContentsWhat is happening in the world of Labor
demand and supply today?
Some data to convince you
Main findings
The truth of the matter is…
The power of knowing and taking in control
Goal-setting application and beyond
V Kobayashi, S T Mol, and G Kismihók 2
• 70 million youth unemployed
• Half of youth are not sure that theirpostsecondary education has improved their chances of finding a job
• Almost 40% of employers say a lackof skills is the main reason for entry level vacancies
Source: McKinsey Center for GovernmentV Kobayashi, S T Mol, and G Kismihók 6
Employers
Educators
StudentsLack of data
Lack of Communication
V Kobayashi, S T Mol, and G Kismihók 7
• Business and economic losses
• Social unrest
• Individual despair
What I need to know to reach my destination?
V Kobayashi, S T Mol, and G Kismihók 8
Job Information and learning by example
My future is in my hands!
V Kobayashi, S T Mol, and G Kismihók 9
But also with the helping hands of employers and educators
Goal Setting Application
V Kobayashi, S T Mol, and G Kismihók 10
a GOAL is the
object or aim of an
action
Source: Locke & Latham 2002
• Direct attention and effort
• Energize (high goals lead to high effort)
• Persistence (prolong effort)
• Affect action indirectly by arousal, discovery, and use of task-relevant knowledge and strategies.
Power of Goals
V Kobayashi, S T Mol, and G Kismihók 11
• Not suitable for academic adaption
• Not intelligent
• not able to integrate labour marketinformation
Existing Goal-setting Applications are
V Kobayashi, S T Mol, and G Kismihók 12
Anticipated Contribution
"What You Don't Know, Won't Hurt You."
V Kobayashi, S T Mol, and G Kismihók 13
Anticipated Contribution
V Kobayashi, S T Mol, and G Kismihók 14
“Knowledge is a
foundation from
which to build”
• Data from Alumni (education-to-employment trajectories)
• Job Information Data (e.g. Job Vacancies and professionalinterviews)
• Other sources
Data Sources
• Student Data
V Kobayashi, S T Mol, and G Kismihók 15
V Kobayashi, S T Mol, and G Kismihók 16
Macro Level: Beveridge curve (by country and profession)
How to measure and assess fit?
CurrentMe
Target Me
LMI
Goal Setting
in Education
Micro level: Individual Goal-setting
Software Requirements Analysis
• Set goals, tasks, priorities, ratings, and deadlines
• Dashboards about labour marketinformation and student activity and performance data
• Messaging capability (primarily for feedback and recommendation) –role of educators
• Mirroring feature (how do I compare?)
V Kobayashi, S T Mol, and G Kismihók 17
• Short to medium terms: Immediateimpact on student performance
Experiments
• Long term:To measure its impact on employment requires a longitudinal study
V Kobayashi, S T Mol, and G Kismihók 18