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Investigating the Determinants and Barriers of Purchase Intention of Innovative New Products

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  • Daeseong An

    (Department of Business Administration, Hanbat National University, Daejeon 34158, Korea)

  • Seonggoo Ji

    (Department of Business Administration and Accounting, Hanbat National University, Daejeon 34158, Korea)

  • Ihsan Ullah Jan

    (Department of Business Administration, Hanbat National University, Daejeon 34158, Korea)

Abstract

The purpose of this study was to examine the purchase intention of innovative new product (e.g., Galaxy Fold) by integrating behavioral reasoning theory (BRT) to the theory of reasoned action (TRA) and theory of planned behavior (TPB) to test the relative influence of reasons for and reasons against adoption on purchase attitude and purchase intention of Korean consumers. A quantitative research method via an online survey was conducted to test the proposed hypotheses. The sample of the study was 242 Korean consumers who participated in the online survey. Structural equation modeling was conducted by using AMOS 21.0 to test the proposed relationships. The findings showed that value for changes positively related to the reasons for adoption and negatively related to reasons against adoption. Reasons for adoption (e.g., relative advantage, compatibility, simplicity) have a significant positive effect on the purchase attitude, and reasons against adoption (e.g., price barrier, performance barrier, usage barrier) have a significant negative effect on the purchase attitude. Finally, purchase attitude has a significant positive relationship to the purchase intention of innovative new product. The findings of this study offer significant theoretical and managerial contributions in the context of sustainable innovative new product development.

Suggested Citation

  • Daeseong An & Seonggoo Ji & Ihsan Ullah Jan, 2021. "Investigating the Determinants and Barriers of Purchase Intention of Innovative New Products," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:740-:d:480030
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    References listed on IDEAS

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    1. Hsee, Christopher K., 1996. "The Evaluability Hypothesis: An Explanation for Preference Reversals between Joint and Separate Evaluations of Alternatives," Organizational Behavior and Human Decision Processes, Elsevier, vol. 67(3), pages 247-257, September.
    2. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    3. Westaby, James D., 2005. "Behavioral reasoning theory: Identifying new linkages underlying intentions and behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 98(2), pages 97-120, November.
    4. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    5. Gupta, Anil & Arora, Neelika, 2017. "Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 1-7.
    6. Ryan, Jessica & Casidy, Riza, 2018. "The role of brand reputation in organic food consumption: A behavioral reasoning perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 239-247.
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    Cited by:

    1. Hafiza Sobia Tufail & Rana Muhammad Shahid Yaqub & Amnah Mohammed Alsuhaibani & Sidra Ramzan & Ahmad Usman Shahid & Moamen S. Refat, 2022. "Consumers’ Purchase Intention of Suboptimal Food Using Behavioral Reasoning Theory: A Food Waste Reduction Strategy," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    2. Li, Xishu & Yin, Ying & Manrique, David Vergara & Bäck, Thomas, 2021. "Lifecycle forecast for consumer technology products with limited sales data," International Journal of Production Economics, Elsevier, vol. 239(C).
    3. Emanuela Lombardo, 2023. "Analysis of the propensity of Italian and German forest owners towards forest certification for ecosystem services," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 69(6), pages 266-276.

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