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Consumer Perception of Online Attributes in Circular Economy Activities

Author

Listed:
  • Nicole Stein

    (Wuppertal Institute for Climate, Environment and Energy, 42103 Wuppertal, Germany)

  • Stefan Spinler

    (WHU—Otto Beisheim School of Management, 56179 Vallendar, Germany)

  • Helga Vanthournout

    (Wealth of Flows Consulting Ltd, Hong Kong SAR)

  • Vered Blass

    (The Porter School of the Environment and Earth Sciences, Tel Aviv University, 6997801, Israel)

Abstract

Businesses like Airbnb have shown that a successful circular economy (CE) business can operate exclusively online. Although online communication and web appearance attributes have been subject to academic research given accelerated digitization, there is still a lack of knowledge about online attributes and their role in facilitating CE. We close the portrayed knowledge gap by conducting a discrete-choice experiment with best to worst scaling and focusing on the effect of CE experience on the perception of a CE website by ranking nine online attributes, grouped in three subsets. We therefore contribute by identifying online attributes that are perceived as favorable for CE businesses and detect how participation in CE activities affects the perception of these attributes. We find that third-party associated online attributes (e.g., user reviews or third-party guarantees) rank significantly higher throughout CE consumption patterns of the sample, being always amongst the top three attributes. This novel finding on online preferences opens a new direction for further research, as well as allows practitioners to optimize online operations accordingly. Furthermore, we find that users without prior touchpoints with CE have a higher need for information about the business model as compared to CE active users who are more interested in community related attributes.

Suggested Citation

  • Nicole Stein & Stefan Spinler & Helga Vanthournout & Vered Blass, 2020. "Consumer Perception of Online Attributes in Circular Economy Activities," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1914-:d:327829
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    References listed on IDEAS

    as
    1. Quadrini, Vincenzo, 2005. "Policy commitment and the welfare gains from capital market liberalization," European Economic Review, Elsevier, vol. 49(8), pages 1927-1951, November.
    2. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    3. Esther Bekker-Grob & Bas Donkers & Marcel Jonker & Elly Stolk, 2015. "Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 373-384, October.
    4. Christian Schlereth & Bernd Skiera, 2012. "DISE: Dynamic Intelligent Survey Engine," Springer Books, in: Adamantios Diamantopoulos & Wolfgang Fritz & Lutz Hildebrandt (ed.), Quantitative Marketing and Marketing Management, edition 127, chapter 11, pages 225-243, Springer.
    5. Meuwissen, Miranda P.M. & Velthuis, Annet G.J. & Hogeveen, Henk & Huirne, Ruud B.M., 2003. "Traceability And Certification In Meat Supply Chains," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 21(2), pages 1-15.
    6. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    7. Hinz, Oliver & Schlereth, Christian & Zhou, Wenyan, 2015. "Fostering the Adoption of Electric Vehicles by Providing Complementary Mobility Services: A Two-Step Approach using Best-Worst Scaling and Dual Response," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77138, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Peysakhovich, Alexander, 2014. "How to commit (if you must): Commitment contracts and the dual-self model," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 100-112.
    9. C. Bhattacharya & Daniel Korschun & Sankar Sen, 2009. "Strengthening Stakeholder–Company Relationships Through Mutually Beneficial Corporate Social Responsibility Initiatives," Journal of Business Ethics, Springer, vol. 85(2), pages 257-272, April.
    10. Kei Long Cheung & Ben F. M. Wijnen & Ilene L. Hollin & Ellen M. Janssen & John F. Bridges & Silvia M. A. A. Evers & Mickael Hiligsmann, 2016. "Using Best–Worst Scaling to Investigate Preferences in Health Care," PharmacoEconomics, Springer, vol. 34(12), pages 1195-1209, December.
    11. Ans Kolk, 2008. "Sustainability, accountability and corporate governance: exploring multinationals' reporting practices," Business Strategy and the Environment, Wiley Blackwell, vol. 17(1), pages 1-15, January.
    12. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
    13. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
    14. Massimiliano Borrello & Francesco Caracciolo & Alessia Lombardi & Stefano Pascucci & Luigi Cembalo, 2017. "Consumers’ Perspective on Circular Economy Strategy for Reducing Food Waste," Sustainability, MDPI, vol. 9(1), pages 1-18, January.
    15. Bettman, James R. & Johnson, Eric J. & Payne, John W., 1990. "A componential analysis of cognitive effort in choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 45(1), pages 111-139, February.
    16. Daniel Kahneman & Amos Tversky, 2013. "Choices, Values, and Frames," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 16, pages 269-278, World Scientific Publishing Co. Pte. Ltd..
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Cristina Calvo-Porral & Jean-Pierre Lévy-Mangin, 2020. "The Circular Economy Business Model: Examining Consumers’ Acceptance of Recycled Goods," Administrative Sciences, MDPI, vol. 10(2), pages 1-13, May.
    2. Bargoni, Augusto & Kliestik, Tomas & Jabeen, Fauzia & Santoro, Gabriele, 2023. "Family firms’ characteristics and consumer behaviour: An enquiry into millennials’ purchase intention in the online channel," Journal of Business Research, Elsevier, vol. 156(C).
    3. Carlos Rodríguez & Marta Jacob & Carmen Florido, 2020. "Socioeconomic Profile of Tourists with a Greater Circular Attitude and Behaviour in Hotels of a Sun and Beach Destination," IJERPH, MDPI, vol. 17(24), pages 1-28, December.

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