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Pursuing Attainment versus Maintenance Goals: The Interplay of Self-Construal and Goal Type on Consumer Motivation

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  • Haiyang Yang
  • Antonios Stamatogiannakis
  • Amitava Chattopadhyay

Abstract

This research examines how self-construal (i.e., independent vs. interdependent) and goal type (i.e., attainment vs. maintenance) are conceptually linked and jointly impact consumer behavior. The results of five experiments and one field study involving different operationalizations of self-construal and goal pursuit activities suggest that attainment (maintenance) goals can be more motivating for participants with a more independent (interdependent) self-construal and that differences in salient knowledge about pursuing the goals are one potential mechanism underlying this effect. This interaction effect was found within a single culture, between cultures, when self-construal was experimentally manipulated or measured, and when potential confounding factors like regulatory focus were controlled for. The effect was also found to impact consumer behavior in real life—self-construal, as reflected by the number of social ties consumers had, impacted the likelihood that they opted to reduce versus maintain their bodyweight. Further, after setting their goal, consumers who were more independent exhibited more (less) motivation, as measured by the amount of money they put at stake, when their goal was weight reduction (maintenance). These findings shed light on the relationship between self-construal and goal type, and offer insights, to both consumers and managers, on how to increase motivation for goal pursuit.

Suggested Citation

  • Haiyang Yang & Antonios Stamatogiannakis & Amitava Chattopadhyay, 2015. "Pursuing Attainment versus Maintenance Goals: The Interplay of Self-Construal and Goal Type on Consumer Motivation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(1), pages 93-108.
  • Handle: RePEc:oup:jconrs:v:42:y:2015:i:1:p:93-108.
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    File URL: http://hdl.handle.net/10.1093/jcr/ucv008
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    Citations

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    Cited by:

    1. Jason Earl Thomas, 2017. "Exploring Buyer Motivation to Improve Management, Marketing, Sales, and Finance Practices in the Martial Arts Industry," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 9(2), pages 12-35, April.
    2. Gutt, Dominik & von Rechenberg, Tobias & Kundisch, Dennis, 2020. "Goal achievement, subsequent user effort and the moderating role of goal difficulty," Journal of Business Research, Elsevier, vol. 106(C), pages 277-287.
    3. Chen, Chunfeng & Lü, Kevin & Zhang, Depeng, 2024. "The impact of self-construal on consumers’ intention to write reviews: A trait activation perspective," Journal of Business Research, Elsevier, vol. 178(C).
    4. Shavitt, Sharon & Barnes, Aaron J., 2020. "Culture and the Consumer Journey," Journal of Retailing, Elsevier, vol. 96(1), pages 40-54.
    5. Yang, Morgan X. & Zeng, Kevin J. & Chan, Haksin & Yu, Irina Y., 2021. "Managing loyalty program communications in the digital era: Does culture matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    6. Stamatogiannakis, Antonios & Chattopadhyay, Amitava & Chakravarti, Dipankar, 2018. "Attainment versus maintenance goals: Perceived difficulty and impact on goal choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 149(C), pages 17-34.
    7. Madurapperuma Arachchige Yasantha Daminda Madurapperuma & Kyung-min Kim, 2020. "Sustaining Business: A Psychological Perspective of Donation Behavior," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    8. Ku, Hsuan-Hsuan & Shang, Rong-An & Fu, Yi-Fan, 2021. "Social learning effects of complaint handling on social media: Self-construal as a moderator," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    9. Kamila Migdał-Najman & Krzysztof Najman & Sylwia Badowska, 2020. "The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(4), pages 947-982, December.

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