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

What is happening in the world today?

V Kobayashi, S T Mol, and G Kismihók 3

Some Data

Source: McKinsey Center for GovernmentV Kobayashi, S T Mol, and G Kismihók 4

Some Data

V Kobayashi, S T Mol, and G Kismihók 5

• 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

WE NEED YOUR HELP!!!

For Software prototyping

V Kobayashi, S T Mol, and G Kismihók 19

REFERENCES

V Kobayashi, S T Mol, and G Kismihók 20