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

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

Open Access
|Aug 2024

Figures & Tables

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
GenderFemale130
Male68
Others6

Age (years)<182
18–25126
26–3524
36–5017
>5035

City population (inhabitants)<100015
1000–10,00043
10,000–50,00017
50,000–100,0005
100,000–1 million15
>1 million109

Educational levelStatutory education7
Vocational training33
A-levels109
University degree55

j_boku-2024-0006_tab_004

D1. Factors of acceptanceScale 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

FactorAdopting u-PSS
Meancorrelation coefficientp-value
Flexibility3.400.200.01*
Peer influence2.860.190.01*
Environmental awareness3.880.390.01*
Compatibility3.720.320.01*
Economic value3.220.230.01*
Information3.630.420.01*

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

Adopting u-PSS

Model 1Model 2
Control variables

Age0.000.00
Gender0.070.22*
Education0.040.01
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-statistic0.416.00*
Multiple R20.010.23
Adjusted R2−0.010.19
DOI: https://doi.org/10.2478/boku-2024-0006 | Journal eISSN: 2719-5430 | Journal ISSN: 0006-5471
Language: English
Page range: 57 - 68
Submitted on: Sep 18, 2023
Accepted on: Jun 12, 2024
Published on: Aug 8, 2024
Published by: Universität für Bodenkultur Wien
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Emma Astner, Christof Falkenberg, Siegfried Pöchtrager, published by Universität für Bodenkultur Wien
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.