The document summarizes the preliminary results of a survey conducted among logistics practitioners in Austria on decarbonizing industrial logistics. The survey found that the current implementation of green measures and anchoring of green logistics is low in Austria. It also found a significant relationship between how well green logistics is anchored within an organization and the level of implementation of green measures. Additionally, raising awareness and disseminating case studies may help accelerate adoption of measures with high perceived emissions savings potential but also high perceived barriers, such as alternatively powered vehicles. Industry sector and company size were not found to influence measures' implementation.

1. Montanuniversität Leoben Chair of Industrial Logistics
WHERE RESEARCH BECOMES FUTURE
Where are we in decarbonizing industrial logistics?
Preliminary results from a survey among practitioners
Philipp Miklautsch
Manuel Woschank
Chair of Industrial Logistics
The research has received funding from the Office of the
Styrian Provincial Government, grant agreement No.
ABT08-247910/2021.

2. Montanuniversität Leoben Chair of Industrial Logistics IPCC (2014), OECD/ITF (2015), Ritchie & Roser (2020), WBCSD & WRI 2
• Scope 1
“direct GHG emissions occur from sources that
are owned or controlled by the company”
• Scope 2
“accounts for GHG emissions from the generation of
purchased electricity consumed by the company”
• Scope 3
“a consequence of the activities of the company, but
occur from sources not owned or controlled by the
company”
− Major component: Up- and Downstream Transportation
and Distribution
− About 30% of transport emissions are accounted to
freight transport
Scope 1
Producer
Scope 2
Consumer
P. Miklautsch, 2022
Scope 3
Consumer
Electricity
and Heat Production
25 %
Industry
21 %
Transport
14 %
Industry
11 %
Freight
4.2 %
GHG Emissions from Industrial Logistics

3. Montanuniversität Leoben Chair of Industrial Logistics
The Need to Survey
3
investigates enablers and barriers
• External pressure through stakeholders
• Future business models
• Costs and awareness
investigates the implementation of measures
• In Swedish LSPs and freight owners, 2016
• In operations management of Brazilian
companies, 2020
Pålsson & Johansson (2016), Lopes de Sousa Jabbour et al. (2020)
Sarkis et al (2011), White et al (2014), Quintás et al (2018), Anderhofstadt &
Spinler (2019), Seisini et al (2020), Miklautsch & Woschank (2022)
Research exists, that … Contribution of this research
• Describe
− status quo of measures‘ implementation in
Austrian companies
− practitioners‘ perception of measures savings
potential and barriers in Austria
− anchoring of GL among Austrian shippers
• Investigate influence of
− industry sector (𝐻0)
− company size (𝐻1)
− anchoring of GL in companies (𝐻2)
− perceived potentials (𝐻3)
− perceived barriers (𝐻4)
on measures‘ implementation
P. Miklautsch, 2022

4. Montanuniversität Leoben Chair of Industrial Logistics
Survey Structure
4
General questions (10)
Respondent
• Position
• Experience
Anchoring of Green Logistics
• Emission reporting (yes/no/part.)
• Goals for logisitcs (yes/no)
• Operational anchoring (yes/no)
• Budget for measures (yes/no)
Organization
• Sector (NACE)
• Size (Employees & Revenue)
P. Miklautsch, 2022
Questions related to greening
measures (3 × 11)
11 measures to
• Avoid (5)
• Shift (2)
• Improve (4)
Questions about perceived
• Emission savings potential (very low – very high)
• Implementation barriers (very low – very high)
• Level of implementation (not pursued - established)
𝑛 = 27 responses 𝑛 = 19 responses

5. Montanuniversität Leoben Chair of Industrial Logistics
Respondents
Preliminary Survey Results (I)
5
P. Miklautsch, 2022
General questions
0% 20% 40% 60% 80% 100%
Position
Experience
Management Planning Other
1-2 yrs 2-5 yrs >5 yrs
Organizations
Goals Reporting
Orga.
Anchoring
Budget
Yes 5 6 9 3
No 22 18 18 24
Partially 3
0
5
10
15
20
25
30
Anchoring of Green Logistics
𝑛 = 27
0% 20% 40% 60% 80% 100%
Employees
Revenue
<10 50-249 250-999 >1000
<2 m€ 2-10 m€ 11-50 m€ >50 m€

6. Montanuniversität Leoben Chair of Industrial Logistics
Preliminary Survey Results (II)
6
P. Miklautsch, 2022
Questions related to greening measures Interactive Plot
https://www.miklautsch.eu/umfrage?lang=en
Measures with highest potentials
• Vehicles with alternative powerdrives
• Fleet renewal
Measures with highest barriers
• Shift to rail
• Vehicles with alternative powerdrives
Measures with highest implementaion
• Fleet renewal
• Energy-saving driving stlye
Overall level of implementation
1 2 3 4 5
ҧ
𝑖 = 2,76

7. Montanuniversität Leoben Chair of Industrial Logistics
Preliminary Survey Results (𝐻2)
7
P. Miklautsch, 2022
Scale 1: Anchoring 𝑎
• Goals 𝑎1
• Reporting 𝑎2
• Orga. Anchoring 𝑎3
• Budget 𝑎4
ത
𝑎 = 2,26
𝐶𝐵𝐴 = 0,885
Scale 2: Implementation 𝑖
• Implementation of measure 1 𝑖1
• Implementation of measure 2 𝑖2
• …
• Implementation of measure 11 𝑖11
ҧ
𝑖 = 2,76
𝐶𝐵𝐴 = 0,889
ത
𝑎 ҧ
𝑖
ത
𝑎 Pearson Correlation 1 ,610**
Sig. (2-tailed) ,006
**. Correlation is significant at the 0.01 level (2-tailed).
𝐻2: There is a significant relationship
between the anchoring of GL in the
organization and the level of implementation
of GL measures.

8. Montanuniversität Leoben Chair of Industrial Logistics
Preliminary Survey Results
8
Hyp. Difference/relationship Pearson Correlation ANOVA
𝐻0
significant difference in the level of implementation
between different industry sectors (NACE sector level)
No significant difference
(𝑠𝑖𝑔 = 0,380)
𝐻0′
significant difference in the level of implementation
between different industry sectors (NACE group level)
No significant difference
(𝑠𝑖𝑔 = 0,501)
𝐻1
significant relationship between company size and level
of implementation
No significant relationship
(𝑠𝑖𝑔 = 0,208)
𝐻1′
significant difference in the level of implementation
between companies with different sizes
No significant difference
(𝑠𝑖𝑔 = 0,457)
𝐻2
significant relationship between anchoring and level of
implementation
Significant relationship
(𝑠𝑖𝑔 = 0,006)
𝐻3
significant relationship between perceived potential of a
measure and its implementation
Significant relationship for 2/11
measures
𝐻4
significant relationship between perceived barrier of a
measure and its implementation
Significant relationship for 1/11
measures
P. Miklautsch, 2022

9. Montanuniversität Leoben Chair of Industrial Logistics
Conclusion
9
• test whether the perceived GHG saving potentials match scientifically validated potentials
• develop strategies to lower (perceived) barriers of high-potential measures
• include other countries to compare effectiveness of policies and/or infrastructure
Further research is needed to
P. Miklautsch, 2022
Current implementation of measures and anchoring of GL is quite low in
Austria
Internal/external factors driving anchoring (e.g., reporting) will foster GL
implementation (𝐻2)
Raising awareness and disseminating case studies/pilots can accelerate
implementation of alternatively powered vehicles (𝐻3 and 𝐻4)
Industry sector and company size have not been found to influence
measures’ implementation significantly (𝐻0 and 𝐻1)
• Low number of responses
• Compare shippers to carriers

10. Montanuniversität Leoben Chair of Industrial Logistics
Q & A
10
P. Miklautsch, 2022

11. Montanuniversität Leoben Chair of Industrial Logistics
The authors
11
P. Miklautsch, 2022
Chair of Industrial Logistics
Department Economic and Business
Management,
Montanuniversität Leoben
Univ.-Prof. Mag. Dr. Helmut Zsifkovits
logistik@unileoben.ac.at
+43 3842 402 2021
DI Philipp Miklautsch
University Assistant &
PhD candidate
philipp.miklautsch@unileoben.ac.at
/in/philipp-miklautsch/
0000-0001-7004-1236
PD Dr. Manuel Woschank
Deputy head & senior
researcher
manuel.woschank@unileoben.ac.at
/in/manuel-woschank-a510ab38/
0000-0003-1496-3388