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Building a Hierarchical Sustainable Consumption Behavior Model in Qualitative Information: Consumer Behavior Influences on Social Impacts and Environmental Responses

Author

Listed:
  • Tat-Dat Bui

    (Institute of Innovation and Circular Economy, Asia University, Taichung 413, Taiwan
    Department of Business Administration, Asia Management College, Asia University, Taichung 413, Taiwan)

  • Ming K. Lim

    (Adam Smith Business School, University of Glasgow, Glasgow G12 8QQ, UK)

  • Raditia Yudistira Sujanto

    (Intelligent Maritime Research Center, National Taiwan Ocean University, Keelung 202, Taiwan
    Department of Communication, Universitas’ Aisyiyah Yogyakarta, Yogyakarta 55592, Indonesia)

  • Monica Ongkowidjaja

    (Department of Business Administration, Asia Management College, Asia University, Taichung 413, Taiwan)

  • Ming-Lang Tseng

    (Institute of Innovation and Circular Economy, Asia University, Taichung 413, Taiwan
    Department of Business Administration, Asia Management College, Asia University, Taichung 413, Taiwan
    Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404, Taiwan
    Ramon V. Del Rosario College of Business, De La Salle University, Manila 1004, Philippines)

Abstract

This study contributes to an understanding of valid sustainable consumption behavior attributes in Indonesia, due to the current unsustainability of product usage and environmental damage. Increasing consumption requires an understanding and exploration of important aspects of the consumption process and consumers’ behaviour. Sustainable consumption fulfils human needs, increases quality of life, reduces environmental damage and minimizes the risk to human health. A set of qualitative aspects and criteria is selected, validated by experts, using the Delphi method. Qualitative information is translated into comparable scales by applying fuzzy set theory. The interrelationships among the attributes are then identified by using a decision-making trial evaluation in the laboratory. Choquet integral is used to eliminate problems of expert subjectivity and this interactivity method, thus, provides higher insight into effectively addressing uncertainties. The results show that social impact and consumer behavior have a significant role in driving sustainable consumption behavior, representing an individual’s motivation in planning or decision making when performing a specific sustainable behavior. Sustainable consumption behavior is motivated by perceived consumer effectiveness, trust from consumers, environmental knowledge, environmental responsibility, behavioral intention, emotion, and motivation regarding social consumption mot. Theoretical and managerial implications are also provided.

Suggested Citation

  • Tat-Dat Bui & Ming K. Lim & Raditia Yudistira Sujanto & Monica Ongkowidjaja & Ming-Lang Tseng, 2022. "Building a Hierarchical Sustainable Consumption Behavior Model in Qualitative Information: Consumer Behavior Influences on Social Impacts and Environmental Responses," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9877-:d:884747
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    References listed on IDEAS

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    1. Ganglmair-Wooliscroft, Alexandra & Wooliscroft, Ben, 2022. "An investigation of sustainable consumption behavior systems – Exploring personal and socio-structural characteristics in different national contexts," Journal of Business Research, Elsevier, vol. 148(C), pages 161-173.
    2. Chen, Yuh-Wen & Tzeng, Gwo-Hshiung, 2001. "Using fuzzy integral for evaluating subjectively perceived travel costs in a traffic assignment model," European Journal of Operational Research, Elsevier, vol. 130(3), pages 653-664, May.
    3. Wang, Reay-Chen & Chuu, Shian-Jong, 2004. "Group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a manufacturing system," European Journal of Operational Research, Elsevier, vol. 154(3), pages 563-572, May.
    4. Alzubaidi, Hawazin & Slade, Emma L. & Dwivedi, Yogesh K., 2021. "Examining antecedents of consumers’ pro-environmental behaviours: TPB extended with materialism and innovativeness," Journal of Business Research, Elsevier, vol. 122(C), pages 685-699.
    5. Sharma, Rajat & Jha, Mithileshwar, 2017. "Values influencing sustainable consumption behaviour: Exploring the contextual relationship," Journal of Business Research, Elsevier, vol. 76(C), pages 77-88.
    6. Gentina, Elodie & Huarng, Kun-Huang & Sakashita, Mototaka, 2018. "A social comparison theory approach to mothers' and daughters' clothing co-consumption behaviors: A cross-cultural study in France and Japan," Journal of Business Research, Elsevier, vol. 89(C), pages 361-370.
    7. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    8. Yang, Defeng & Lu, Yue & Zhu, Wenting & Su, Chenting, 2015. "Going green: How different advertising appeals impact green consumption behavior," Journal of Business Research, Elsevier, vol. 68(12), pages 2663-2675.
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