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How CREM can measure added value of building design: Knowledge sharing in research buildings. Rianne Appel-Meulenbroek [email protected] Co-authors: B. de Vries & M. Weggeman. Introduction. Adding value with real estate – focus on efficiency Cost reduction Increasing value - PowerPoint PPT Presentation
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How CREM can measure added value of building design:Knowledge sharing in research buildings
Rianne Appel-Meulenbroek
Co-authors: B. de Vries & M. Weggeman
Introduction
• Adding value with real estate – focus on efficiency • Cost reduction• Increasing value• Increasing flexibility
• effectiveness strategies• Promoting Marketing & sales• Increasing innovation • Increasing employee satisfaction• Increasing productivity
• Knowledge gap on softer added values
• Quantifying the workplace
• Innovative behaviour knowledge sharing (KS)
PAGE 220-04-23
Increasing knowledge sharing
• Knowledge = justified true belief a meeting• ↑meetings = ↑KS ??• Knowledge components
• Explicit• Tacit be together, cognitive apprenticeship
• Taxonomy of 29 KS moves [Berends, 2003] 5 categories• Descriptions• Actions• Questions• Proposals• Evaluations
PAGE 320-04-23
Tacit knowledge: achieve together f-to-f
Explicit knowledge: exchange virtual??
Increasing knowledge sharing
• Duration• Location• Tacitness
• Issues addressed
• Intentionality
− Scheduled meetings: organisational structure/project
− Coincidental meetings: building design(bump into each other: 30 meters)
PAGE 420-04-23
Conceptual model
• Content analysis literature• Innovation/KS literature: f-to-f, proximity
• CREM/Workplace literature: more detail, but focus on cooperation
• Two levels• Local effects co-presence
• Global effects position in the building
• Dyads instead of individuals
PAGE 520-04-23
Conceptual model
/ name of department
Co-presence – accessibility
- Position in the building
Same room
Same floor
Intervisibility
Hearing distance
Walking distance
Knowledge sharing of dyad
# of KS meetings
PAGE 620-04-23
Laborious!
Methodology + fieldwork
• Measure distances spatial network analysis• Isovist analysis visual graph analysis (VGA)
− Isovist: “the set of all points visible from a given vantage point in space and with respect to an environment”
PAGE 720-04-23
Methodology + fieldwork
• Visibility graph analysis• Entire plan: viewpoint of accessibility (0.5 m grid)• Space as how the user perceives it, interacts with
it and moves through it• Metric straight line
distance, visibility graph hearing distance
• Metric shortest path distance, permeability graph walking distance
PAGE 820-04-23
Not seen by many
Methodology + fieldwork
• Océ Netherlands• 1 building (2 storey), 269 R&D employees
D E F
C B A
C AB
ABC
FED
ABC
PAGE 920-04-23
/ name of department
PAGE 1020-04-23
Walking distances for this person
Methodology + fieldwork
• 138 logbooks (51%)
• 1 week
• 918 matchedinteractions betweenparticipants
• 9453 dyads only4% KS that week
• 45 min/day meeting• Most < 15 minutes• 3x/week (SD = 3)
/ name of department
PAGE 1120-04-23
Results for Océ
Frequency Valid%KS activitiesDescriptions Actions Questions Proposals Evaluations
423321
1067372395
22,4%17%
56,4%19,7%20,9%
Alternative sourceYes, non humanYes, other person(s)No, only this person
40176733
4,2%18,5%77,2%
Location of interactionown workplaceworkplace of othermeeting arealabcoffee machinehallway
802684
22274
8139
42,2%36,0%
1,2%14,4%
4,3%2,1%
Intentionality Intentional unscheduled visitInitiated after coincidental visual contact
1358533
71,8%28,2%
At the workplace
Tacit knowledge
Coincidental
Questions
PAGE 1220-04-23
Results for Océ Co-presence
Spearman's rhoSame room Intervisibility
Hearing distance
# of KS meetings Correlation Coefficient .460(**) .465(**) -.422(**) Sig. (2-tailed) .000 .000 .000 N 9453 9453 570 Same room Correlation Coefficient 1.000 .953(**) . Sig. (2-tailed) . .000 . N 9453 9453 . Intervisibility Correlation Coefficient 1.000 -.259(**) Sig. (2-tailed) . .000 N 9453 570
PAGE 1320-04-23
Position building
Spearman's rhoWalking distance Same floor
# of KS meetings Correlation Coefficient -.270(**) .178(**) Sig. (2-tailed) .000 .000 N 9453 9453 Walking distance Correlation Coefficient 1.000 -.368(**) Sig. (2-tailed) . .000 N 9453 9453
Higher than KS meetings
Results for Océ
• Co-presence > position in building• Same room 1.4 KS meetings (SD = 2.68)
• different floor 0 KS meetings (SD = .07)
PAGE 1420-04-23
hearing distance> 16 m14 - 1612 - 1410 - 128 - 10 m6 - 8 m4 - 6 m2 - 4 m< 2 m
# o
f K
S m
eeti
ng
s
17
16
15
13
11
10
9
8
7
6
5
4
3
2
1
0
Only outliers, outside hearing distance (max. 5-10 m)
Results for Océ
• Walking distance
/ name of departmentPAGE 1520-04-23
# o
f K
S m
eeti
ng
s
17
16
15
13
12
11
10
9
8
7
6
5
4
3
2
1
0
walking distance1501401301201101009080706050403020100
3 or more KS meetings within 22 m
Results for Océ
• KS process in depth (for same room or not)• No difference KS activities
• Location: different rooms > KS away from workplace
• No difference in coincidental (bumping into each other = not reason for KS)
• KS in same room > about shared problems
PAGE 1620-04-23
Conclusion and recommendations
• Overall moderate association (.460), but added value is proven
• CREM work together with other BUs• If simple layout methodology not worthwhile
• Trend NewWoW towards larger areas
• Recommendations:• Other added values of CREM
• Expressing in financial indicators
• Optimal room size
• Creativity and inventiveness (= also innovation)
PAGE 1720-04-23
Discussion
?PAGE 1820-04-23