The added value of implicit motives for management research Development and first validation of a Brief Implicit Association Test (BIAT) for the measurement of implicit motives

Many Management (sub-)disciplines, from Organizational Behavior and Marketing to Accounting and Strategy, are interested in antecedents and consequences of individual attitudes and traits. A key aspect of personality profiles are explicit and implicit motives. Yet, Management scholars mainly focus on explicit motives, with limited attention to implicit motives. We argue that this state of affairs probably came into being because current Management researchers mainly rely on implicit motive measures that are either difficult to apply or to develop, hampering researchers from applying implicit motive measures. To overcome the downsides of available instruments, we develop a Brief Implicit Association Test (BIAT) as an efficient, reliable and valid measure of implicit motives, particularly the needs for achievement, affiliation and power. To explore our BIAT’s predictive validity, we apply this measure to a specific research domain within Management: Entrepreneurship. We examine implicit motives’ association with entrepreneurial self-efficacy, business founding, and financial profitability. Our results show that the introduction of implicit motives can unlock stranded discussions in this research domain. Overall, we argue that implicit motives can help to push the boundaries of the study of deep-level attributes in a wide range of organizational and managerial settings.

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PID https://www.doi.org/10.1371/journal.pone.0198094
URL https://figshare.com/articles/The_added_value_of_implicit_motives_for_management_research_Development_and_first_validation_of_a_Brief_Implicit_Association_Test_BIAT_for_the_measurement_of_implicit_motives/6622565
URL http://dx.doi.org/10.1371/journal.pone.0198094
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Author Slabbinck, Hendrik
Author van Witteloostuijn, Arjen
Author Hermans, Julie
Author Vanderstraeten, Johanna
Author Dejardin, Marcus
Author Brassey, Jacqueline
Author Ramdani, Dendi
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Collected From figshare
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Publication Date 2018-01-01
Publisher Figshare
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::826f5df4deac6824e6242c5bc1dcc981
Author jsonws_user
Last Updated 15 December 2020, 19:46 (CET)
Created 15 December 2020, 19:46 (CET)