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Commute green! The potential of enterprise social
networks for ecological mobility concepts.
Christian Zinke-Wehlmann and ...
“Everything that can be social will be”
(Hinchchliffe & Kim 2012)
2
Social Business
3
Technology
Images:
Kirill Kazache CC3 https://creativecommons.org/licenses/by/3.0/
Rudez Studio CC3 http...
What framework conditions of social business
have to be developed to support eco-friendly
behavior?
4
Commuting
5
6
The “standard” employee
static work conditions
using car for commuting
8-17 km/h on 15 km (daily) = 50 to 110 min
118.5g...
7Source: Waard (2013) Commuting in Europe: a dynamic macro analysis of commuting behaviour
in the European Union Name
Infl...
8
9
Primary Motives
E: sustainability & ecology
C: stress reduction
Selective Motives
E: C02 reductive commuting
C: avoid pa...
The power of
community networks
• Awareness
• Shared value system
• Relatedness
• Social incentives
• Shared Resources
10
11
Social Business
12
Technology
Images:
Kirill Kazache CC3 https://creativecommons.org/licenses/by/3.0/
Rudez Studio CC3 htt...
13
14
shared rides and
joined commuting
enhance vehicle occupancy
shared bike, cars
or scooter systems
relatedness and enjoym...
15
shared car or
bike pools
to enhance vehicle occupancy
shared costs
shared parking
places
joint information
campaign
red...
16
Incentives
intangible
tangible
gamification
• points ambition
• meaningful story relatedness
• feedback
• time comparison self-efficacy,
comparison
and fun
• progress...
• donations to ecological projects
• sustainable equipment
• team events
• ranking mechanisms
Incentives on group level
• agreed working-time conditions
flexiblize commuting
• home office
reduce commuting
• other regulations (voluntary or com...
20
Christian Zinke-Wehlmann
zinke@infai.org
sbdigital.infai.org
21
The German Federal Ministry of Education and Research have...
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Commute green! The potential of enterprise social networks for ecological mobility concepts.

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Veröffentlicht am

https://link.springer.com/chapter/10.1007/978-3-030-28464-0_12

The paper discusses the potential of collaborative networks (CN) to support eco-friendly commuting and create ecological benefits. It therefore develops framework conditions within the concept of social business. The objective is to show up solutions to reduce air pollution, frustration, stress caused by rush hour traffic related to the inflexible working hours. Therefore, relevant social business framework conditions to support eco-friendly behavior have been identified. As a result the paper shows how social business can combine digitally driven empowerment of workers and corporate responsibility for human and environment. It points out the potential for ecological as well as for social benefits.

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Commute green! The potential of enterprise social networks for ecological mobility concepts.

  1. 1. Commute green! The potential of enterprise social networks for ecological mobility concepts. Christian Zinke-Wehlmann and Julia Friedrich Institute for Applied Informatics, (InfAI),04109 Leipzig Germany 20th Working Conference on Virtual Enterprises 23 - 25 September 2019 - Valentino Castle, Turin, Italy
  2. 2. “Everything that can be social will be” (Hinchchliffe & Kim 2012) 2
  3. 3. Social Business 3 Technology Images: Kirill Kazache CC3 https://creativecommons.org/licenses/by/3.0/ Rudez Studio CC3 https://creativecommons.org/licenses/by/3.0/
  4. 4. What framework conditions of social business have to be developed to support eco-friendly behavior? 4
  5. 5. Commuting 5
  6. 6. 6 The “standard” employee static work conditions using car for commuting 8-17 km/h on 15 km (daily) = 50 to 110 min 118.5g/km on 15 km (daily) = 1.777 kg C02
  7. 7. 7Source: Waard (2013) Commuting in Europe: a dynamic macro analysis of commuting behaviour in the European Union Name Influences on Commute behavior Personal Income Age # of Children Rented or owned housing Car Ownership Value of Time Full/part Time Gender Education Partner’s commute County of Birth Commuting Experience Gross Domestic Product Macro Variables Population Density Build-up Index Job Density Urban/ Rural Housing Prices Transport Network DensityMono/ Polycentric Indicator Parking Difficulties Commute Distance Frequency Time
  8. 8. 8
  9. 9. 9 Primary Motives E: sustainability & ecology C: stress reduction Selective Motives E: C02 reductive commuting C: avoid parking space shortage Resources E: alternative vehicles, cycling skills C: bicycle stands Opertunities E: commute, further daily roots (e.g. pre- school) C: public transport shop Motivation Incentive system Ability Conditions Behavior
  10. 10. The power of community networks • Awareness • Shared value system • Relatedness • Social incentives • Shared Resources 10
  11. 11. 11
  12. 12. Social Business 12 Technology Images: Kirill Kazache CC3 https://creativecommons.org/licenses/by/3.0/ Rudez Studio CC3 https://creativecommons.org/licenses/by/3.0/
  13. 13. 13
  14. 14. 14 shared rides and joined commuting enhance vehicle occupancy shared bike, cars or scooter systems relatedness and enjoyment (motivation) better traffic flow and eco-friendly alternatives exchange information Resources / Opportunities
  15. 15. 15 shared car or bike pools to enhance vehicle occupancy shared costs shared parking places joint information campaign reduce parking stress awareness and individual motivation Resources / Opportunities
  16. 16. 16 Incentives intangible tangible gamification
  17. 17. • points ambition • meaningful story relatedness • feedback • time comparison self-efficacy, comparison and fun • progress statistics relatedness, progression and altruism • simulation ambition and altruism • health statistics ambition and fun • other information • challenges and rewards ambition 17 Gamification elements
  18. 18. • donations to ecological projects • sustainable equipment • team events • ranking mechanisms Incentives on group level
  19. 19. • agreed working-time conditions flexiblize commuting • home office reduce commuting • other regulations (voluntary or compulsory) that supports vehicle occupancy, traffic flow or eco-friendly commuting 19 Further conditions
  20. 20. 20
  21. 21. Christian Zinke-Wehlmann zinke@infai.org sbdigital.infai.org 21 The German Federal Ministry of Education and Research have funded the work leading to this publication under grant number 02L15A070 (Project: SB:Digital). The authors thank for the funding

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