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Adoption of Use-Oriented Product-Service Systems for Electronic Devices in Austria: Exploring Key Acceptance Factors

Emma Astner
Emma Astner
, 
Christof Falkenberg
Christof Falkenberg
 und 
Siegfried Pöchtrager
Siegfried Pöchtrager
   | 08. Aug. 2024
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Online veröffentlicht: 08. Aug. 2024
Seitenbereich: 57 - 68
Eingereicht: 18. Sept. 2023
Akzeptiert: 12. Juni 2024
DOI: https://doi.org/10.2478/boku-2024-0006
Schlüsselwörter
© 2024 Emma Astner et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1.

Classification of product-service systems (adopted from Tukker, 2004)Abbildung 1. Klassifikation von Produkt-Service Systemen (In Anlehnung an Tukker, 2004)
Classification of product-service systems (adopted from Tukker, 2004)Abbildung 1. Klassifikation von Produkt-Service Systemen (In Anlehnung an Tukker, 2004)

Figure 2.

Graphic representation of the research modelAbbildung 2. Grafische Darstellung des Forschungsmodells
Graphic representation of the research modelAbbildung 2. Grafische Darstellung des Forschungsmodells

Demographic characteristics of the survey participantsTabelle 1. Demografische Merkmale der Teilnehmenden an der Umfrage

Demographic variable N = 204
Gender Female 130
Male 68
Others 6
Age (years) <18 2
18–25 126
26–35 24
36–50 17
>50 35
City population (inhabitants) <1000 15
1000–10,000 43
10,000–50,000 17
50,000–100,000 5
100,000–1 million 15
>1 million 109
Educational level Statutory education 7
Vocational training 33
A-levels 109
University degree 55

j.boku-2024-0006.tab.004

D1. Factors of acceptance Scale item
Flexibility (adapted from D’Agostin et al., 2020) Possibility of testing a product before purchasing
Peer influence (adapted from D’Agostin et al., 2020) Social prestige for using new and green technology
Environmental awareness (adapted from D’Agostin et al., 2020) Less solid waste generation and greenhouse gas emissions and familiarity with sustainability as a lifestyle
Compatibility (adapted from D’Agostin et al., 2020) Compatibility and consistency with values and beliefs, experiences, and needs of potential users
Economic value (adapted from Sattari et al., 2020) Renting the product is cheaper than buying it
Information (adapted from D’Agostin et al., 2020) Perceived need for a lifestyle change into a more sustainable option

Correlation between factors of acceptance and willingness to adopt u-PSSTabelle 2. Korrelation zwischen Akzeptanzfaktoren und der Bereitschaft zur Einführung von u-PSS

Factor Adopting u-PSS
Mean correlation coefficient p-value
Flexibility 3.40 0.20 0.01*
Peer influence 2.86 0.19 0.01*
Environmental awareness 3.88 0.39 0.01*
Compatibility 3.72 0.32 0.01*
Economic value 3.22 0.23 0.01*
Information 3.63 0.42 0.01*

Hypothesis testing: multiple regression analysisTabelle 3. Hypothesenprüfung: Multiple Regressionsanalyse

Adopting u-PSS
Model 1 Model 2
Control variables
Age 0.00 0.00
Gender 0.07 0.22*
Education 0.04 0.01
Hypotheses
H1 – Flexibility 0.05
H2 – Peer influence 0.00
H3 – Environmental awareness 0.13*
H4 – Compatibility 0.07
H5 – Economic value 0.06
H6 – Information 0.16*
F-statistic 0.41 6.00*
Multiple R2 0.01 0.23
Adjusted R2 −0.01 0.19
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