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      The role of emotions in the consumer meaning-making of interactions with social robots

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      Technological Forecasting and Social Change
      Elsevier BV

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          A Coefficient of Agreement for Nominal Scales

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            An argument for basic emotions

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              Making sense of the meaning literature: an integrative review of meaning making and its effects on adjustment to stressful life events.

              Interest in meaning and meaning making in the context of stressful life events continues to grow, but research is hampered by conceptual and methodological limitations. Drawing on current theories, the author first presents an integrated model of meaning making. This model distinguishes between the constructs of global and situational meaning and between "meaning-making efforts" and "meaning made," and it elaborates subconstructs within these constructs. Using this model, the author reviews the empirical research regarding meaning in the context of adjustment to stressful events, outlining what has been established to date and evaluating the strengths and weaknesses of current empirical work. Results suggest that theory on meaning and meaning making has developed apace, but empirical research has failed to keep up with these developments, creating a significant gap between the rich but abstract theories and empirical tests of them. Given current empirical findings, some aspects of the meaning-making model appear to be well supported but others are not, and the quality of meaning-making efforts and meanings made may be at least as important as their quantity. This article concludes with specific suggestions for future research.
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                Author and article information

                Journal
                Technological Forecasting and Social Change
                Technological Forecasting and Social Change
                Elsevier BV
                00401625
                September 2022
                September 2022
                : 182
                : 121844
                Article
                10.1016/j.techfore.2022.121844
                da9ae264-437e-443a-bf3b-724914596a1e
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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