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      AI increases unethical consumer behavior due to reduced anticipatory guilt

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          Development and validation of brief measures of positive and negative affect: The PANAS scales.

          In recent studies of the structure of affect, positive and negative affect have consistently emerged as two dominant and relatively independent dimensions. A number of mood scales have been created to measure these factors; however, many existing measures are inadequate, showing low reliability or poor convergent or discriminant validity. To fill the need for reliable and valid Positive Affect and Negative Affect scales that are also brief and easy to administer, we developed two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS). The scales are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period. Normative data and factorial and external evidence of convergent and discriminant validity for the scales are also presented.
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            The Dishonesty of Honest People: A Theory of Self-Concept Maintenance

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              Artificial Intelligence in Service

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                Author and article information

                Journal
                Journal of the Academy of Marketing Science
                J. of the Acad. Mark. Sci.
                Springer Science and Business Media LLC
                0092-0703
                1552-7824
                July 2023
                March 02 2022
                July 2023
                : 51
                : 4
                : 785-801
                Article
                10.1007/s11747-021-00832-9
                f71093b7-5d7e-4257-85d4-d55c5f2c4fe1
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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