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      Who Is Wary of User Design? The Role of Power-Distance Beliefs in Preference for User-Designed Products

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      Journal of Marketing
      SAGE Publications

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          Abstract

          This article evaluates when a user-design approach is and is not effective in strengthening brand preference. It specifically delves into the role of power-distance beliefs in influencing preferences for user-designed products and brands. The authors demonstrate that low-power-distance consumers prefer user-designed products to company-designed products, whereas this effect is attenuated or reversed for high-power-distance consumers. The authors find process evidence that both feelings of empowerment and values of expertise differentially mediate brand preferences depending on power-distance beliefs, thus extending prior research findings. Field experiments conducted in the United States and cross-culturally (Austria and Guatemala) with Facebook’s advertising platform provide convergent evidence using country and political orientation as managerially accessible proxies. This research sheds light on when and why firms should be wary of user-design approaches, based on how power-distance beliefs drive consumers’ preferences.

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          Most cited references41

          • Record: found
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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Structural equation modeling in practice: A review and recommended two-step approach.

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              • Record: found
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              • Article: not found

              Liberals and conservatives rely on different sets of moral foundations.

              How and why do moral judgments vary across the political spectrum? To test moral foundations theory (J. Haidt & J. Graham, 2007; J. Haidt & C. Joseph, 2004), the authors developed several ways to measure people's use of 5 sets of moral intuitions: Harm/care, Fairness/reciprocity, Ingroup/loyalty, Authority/respect, and Purity/sanctity. Across 4 studies using multiple methods, liberals consistently showed greater endorsement and use of the Harm/care and Fairness/reciprocity foundations compared to the other 3 foundations, whereas conservatives endorsed and used the 5 foundations more equally. This difference was observed in abstract assessments of the moral relevance of foundation-related concerns such as violence or loyalty (Study 1), moral judgments of statements and scenarios (Study 2), "sacredness" reactions to taboo trade-offs (Study 3), and use of foundation-related words in the moral texts of religious sermons (Study 4). These findings help to illuminate the nature and intractability of moral disagreements in the American "culture war." Copyright (c) 2009 APA, all rights reserved.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Marketing
                Journal of Marketing
                SAGE Publications
                0022-2429
                1547-7185
                May 2019
                February 26 2019
                May 2019
                : 83
                : 3
                : 91-107
                Article
                10.1177/0022242919830412
                7ee9d82b-f058-425d-950a-7a9f2cee612b
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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