The Influence of Personal- And Business Center Characteristics on Sharing Types of Knowledge in Business Centers

The Influence of Personal- And Business Center Characteristics on Sharing Types of Knowledge in Business Centers

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Description: A larger dataset and analyzing real-time knowledge sharing behavior could increase the generalizability of the results. Data from different countries could give more insight into cultural differences with regard to knowledge sharing .

 
Author: Minou Weijs-Perree PhD, Rianne Appel-Meulenbroek, Theo Arentze, George Romme  | Visits: 308 | Page Views: 451
Domain:  Business Category: Management 
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Contents:
The influence of personal- and business center
characteristics on sharing types of knowledge in
business centers
Minou Weijs-Perrée (PhD candidate),
Rianne Appel-Meulenbroek, Theo Arentze and George Romme
Eindhoven University of Technology

Challenge

Personal- and business
center characteristics

Sharing knowledge

Agenda
• Introduction
• Conceptual model
• Methodology

• Results
• Conclusions
• Limitations and future research

Introduction
• Organizations are increasingly looking for an accommodation in a business center
 decreasing need of workspace, increasing need for flexibility and high service
level, balance between work/private life
• Business center:
‘A building with a number of spaces and possibly some common facilities and/or services,
which are offered to multiple organizations’
• Valued aspect of business centers for tenants  the opportunity for knowledge sharing
• Knowledge highly important (resource) for organizations

Introduction
• Four types of knowledge can be distinguished based on the codification and whether
knowledge is public or private (Marouf, 2007):
• Public non-codified knowledge (e.g. explaining the route in a building, discussing
general news)
• Public codified knowledge (e.g. company reports and manuals)
• Private non-codified knowledge(e.g. beliefs, viewpoints, insights and experiences)
• Private codified knowledge (e.g. correspondence and personal notes)
• Non-codified knowledge  most important for the innovation process of organizations

Introduction
• Research into the influence of the physical work environment of business centers on
sharing knowledge between and within organizations is still scarce
• Previous studies mainly focused on single-tenant offices and on knowledge sharing within
a larger organization

• It is also recognized that personality and demographics (i.e. age, gender) are important
indicators for knowledge sharing.
• The aim of this study:
‘To analyze the influence of personal- and business center characteristics on sharing
different types of knowledge’

Conceptual model
Demographics

Personality
Sharing types of knowledge
Facilities/services
Workspace characteristics

Methodology

139 business
centers
Participated in
study of WeijsPerrée et al.
(2016)

53
business
centers

122
paper-and-pencil
questionnaires
177 online
questionnaires

268 useful
questionnaires

Methodology
• A seemingly unrelated regression analysis (SUR)  R Statistical Software
• Multiple regression equations, with different dependent variables (i.e. knowledge sharing
types) that are related to each other and different sets of independent variables
• It allows correlated errors between equations.
• The variables that were expected to have a significant effect were added to the model
• First, eight multiple regression analyses were performed. Than, variables that were found
to be significant were included in the SUR

Results |Knowledge sharing with colleagues
Public noncodified KS
colleagues

Public
codified KS
colleagues

Private noncodified KS
colleagues

Private codified
KS colleagues

-0.037**
0.879**

-0.041**
0.829**

-0.029**
0.889**
-0.457**

-2.617**
-0.331

-1.882**

0.175*

0.200**
0.0758**
0.249**

0.201**

-1.029**
0.475
0.459

-1.152**
0.429
0.412

Personal characteristics
Age -0.037**
Male 0.558*
Low education
Freelancer -1.051**
Start-up enterprise -0.157
Frequency of using an offered shared facility/service
Canteen/restaurant -0.160*
Space for copying and printing
Meeting space 0.256**
Project- or class room -0.196*
Workspace characteristics
Individual closed workspace -1.286**
2
R
0.354
2
Adjusted R
0.334

0.224**
-0.172*
-0.968**
0.484
0.466

-0.537*

0.259**

Results |Knowledge sharing with colleagues
Public noncodified KS
colleagues

Public
codified KS
colleagues

Private noncodified KS
colleagues

Private codified
KS colleagues

-0.037**
0.879**

-0.041**
0.829**

-0.029**
0.889**
-0.457**

-2.617**
-0.331

-1.882**

0.175*

0.200**
0.0758**
0.249**

0.201**

-1.029**
0.475
0.459

-1.152**
0.429
0.412

Personal characteristics
Age -0.037**
Male 0.558*
Low education
Freelancer -1.051**
Start-up enterprise -0.157
Frequency of using an offered shared facility/service
Canteen/restaurant -0.160*
Space for copying and printing
Meeting space 0.256**
Project- or class room -0.196*
Workspace characteristics
Individual closed workspace -1.286**
2
R
0.354
Adjusted R2
0.334

0.224**
-0.172*
-0.968**
0.484
0.466

-0.537*

0.259**

Results |Knowledge sharing with colleagues
Public noncodified KS
colleagues

Public
codified KS
colleagues

Private noncodified KS
colleagues

Private codified
KS colleagues

-0.037**
0.879**

-0.041**
0.829**

-0.029**
0.889**
-0.457**

-2.617**
-0.331

-1.882**

0.175*

0.200**
0.0758**
0.249**

0.201**

-1.029**
0.475
0.459

-1.152**
0.429
0.412

Personal characteristics
Age -0.037**
Male 0.558*
Low education
Freelancer -1.051**
Start-up enterprise -0.157
Frequency of using an offered shared facility/service
Canteen/restaurant -0.160*
Space for copying and printing
Meeting space 0.256**
Project- or class room -0.196*
Workspace characteristics
Individual closed workspace -1.286**
2
R
0.354
2
Adjusted R
0.334

0.224**
-0.172*

-0.968**
0.484
0.466

-0.537*

0.259**

Results |Knowledge sharing with people from
other organizations
Public noncodified KS
others

Public codified
KS others

Private noncodified KS
others

Private codified
KS others

0.102*

0.054

Personal characteristics
Freelancer 0.234*
Club membership 0.054
Personality
Traditional/ uncreative
Frequency of using an offered shared facility/service
Lounge space 0.266**
Event space 0.150*
Canteen/ restaurant 0.088*
Consultancy services 1.098**
Workspace characteristics
Non-territorial workspace
2
R
0.283
2
Adjusted R
0.264

-0.083**
0.285**
0.093*

0.313
0.201
0.186

0.307**
0.138*
0.116**
0.301

0.269
0.253

0.339**
0.168**
0.094**

0.458**
0.312
0.312

Results |Knowledge sharing with people from
other organizations
Public noncodified KS
others

Public codified
KS others

Private noncodified KS
others

Private codified
KS others

0.102*

0.054

Personal characteristics
Freelancer 0.234*
Club membership 0.054
Personality
Traditional/ uncreative
Frequency of using an offered shared facility/service
Lounge space 0.266**
Event space 0.150*
Canteen/ restaurant 0.088*
Consultancy services 1.098**
Workspace characteristics
Non-territorial workspace
2
R
0.283
2
Adjusted R
0.264

-0.083**
0.285**
0.093*

0.313
0.201
0.186

0.307**
0.138*
0.116**
0.301

0.269
0.253

0.339**
0.168**
0.094**

0.458**
0.312
0.312

Results |Knowledge sharing with people from
other organizations
Public noncodified KS
others

Public codified
KS others

Private noncodified KS
others

Private codified
KS others

0.102*

0.054

Personal characteristics
Freelancer 0.234*
Club membership 0.054
Personality
Traditional/ uncreative
Frequency of using an offered shared facility/service
Lounge space 0.266**
Event space 0.150*
Canteen/ restaurant 0.088*
Consultancy services 1.098**
Workspace characteristics
Non-territorial workspace
2
R
0.283
2
Adjusted R
0.264

-0.083**
0.285**
0.093*

0.313
0.201
0.186

0.307**
0.138*
0.116**
0.301

0.269
0.253

0.339**
0.168**
0.094**

0.458**
0.312
0.312

Conclusion
• The use of informal meeting spaces and working in a more open and flexible
workspace
private non-codified knowledge sharing
• Physical characteristics are more important than non-physical characteristics
(i.e. offered services) of business centers
• Personal characteristics are also important for explaining knowledge sharing

Recommendation to relevant practitioners
• Owners or managers could focus more on knowledge sharing by offering these
informal meeting spaces and flexible work environment and create an
innovative hotspot
• Managers of organizations should steer their employees to use informal meeting
spaces
• FM managers could select innovative tenants and monitor the perceived
support for knowledge sharing of tenants and adapt to these outcomes

Limitations and future research
• A larger dataset and analyzing real-time knowledge sharing behavior could
increase the generalizability of the results
• Data from different countries could give more insight into cultural differences
with regard to knowledge sharing
• Including several other important influences could strengthen the analyses
• Next step PhD research  analyzing real time face-to-face interaction patterns
and knowledge sharing in business centers using Experience Sampling Method