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Feeling and Appearing Authentic: New Insights on Their Social Outcomes and Conceptual Clarity

2019· article· en· W2965742352 on OpenAlexaff
Patricia Faison Hewlin, Nicole Abi-Esber, Julianna Pillemer, Laura Rees

Bibliographic record

VenueAcademy of Management Proceedings · 2019
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsQueen's UniversityMcGill University
Fundersnot available
KeywordsCLARITYConceptualizationFeelingSocial psychologyPsychologyDeci-Value (mathematics)Affect (linguistics)SociologyAestheticsPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Authenticity is the sense of alignment with one’s true self (Harter, 2002; Kernis, 2003; Sedikides, Slabu, Lenton, & Thomaes, 2017). When studying authenticity in organizations, three common understandings emerge from the literature: 1) authenticity can be considered a side effect of self-regulatory strivings in that it results from the consonance between one’s values and organizational goals (Hewlin, 2003; Markus, 1977; Ryan & Deci, 2017; Sheldon & Elliot, 1998, 1999), 2) authenticity can be inferred from behavioral expression of one’s values, attitudes, and emotions, while social and organizational influence largely erodes authenticity (Ekman & Friesen, 1975; Grandey, 2000; Hochschild, 2015; Schlenker, 2002), and 3) feeling authentic benefits psychological health (Gino, Kouchaki & Galinsky, 2015; Kifer, Heller, Qi, Perunovic, & Galinsky, 2013; Schlegel, Hicks, Arndt, & King, 2009) and may also positively affect job satisfaction (Cable, Gino, & Staats, 2013; Van den Bosch & Taris, 2013). Although largely corroborating the current workplace trend of “be yourself”, this literature offers little clarity on the conceptualization of authenticity and its social outcomes. To address this gap, employing a diverse mix of laboratory and field studies, the current symposium examines two previously overlooked social outcomes of authenticity, and offers some refreshing conceptual clarity regarding the experience vs appearance of authenticity and the role of others’ influence in the social construction of authenticity. First, Huang investigates how individuals’ sense of inauthenticity shapes the development of their social attitudes, showing that the sense of lacking control associated with inauthenticity encourages a unique attributional pattern conducive to cynical views and damaging to value-based organizational commitment. Next, Pillemer demonstrates that behaving authentically is not always beneficial and that, when encouraged to be authentic in interviews, men were rated worse than women as they decreased skilled emotional regulation, or deep acting. Then, Abi-Esber, Kouchaki, Jachimowicz, and Gino empirically develop the distinction between felt vs. displayed authenticity and examine their differential effects on objective vs. self-rated performance. Finally, Rees, Ramanujam, Victor, and Lehman offer a new perspective wherein they argue that authenticity might be less about being “true to oneself” and more about “remaining true to the authentic self one has created in conjunction with others.” By demonstrating a social attitudinal outcome of inauthenticity, a negative impression management implication of authenticity, and the different performance implications of felt vs. displayed authenticity, and by applying an social lens on the conceptualization of authenticity, we gain a better understanding of how inauthenticity affects individuals’ perception of others, how the perception of authenticity as deep vs. no acting affects others’ view of individuals, how felt vs. displayed authenticity are conceptually and empirically distinct, as well as how it is possible to incorporate others’ influence rather than seeing it as a form of erosion of the true self, and identify potential areas for future research and theory building. To Thine Own Self Be True, Or Others Would Seem False Too Presenter: Li Huang; INSEAD Bounded Authenticity: The Paradox of Being Genuine in Professional Interactions Presenter: Julianna Pillemer; New York U. What Are We Studying When We Study Authenticity? Presenter: Nicole Abi-Esber; Stanford GSB Presenter: Maryam Kouchaki; Northwestern Kellogg School of Management Presenter: Jon Michael Jachimowicz; Harvard Business School Presenter: Francesca Gino; Harvard U. The Enactment of Authenticity as a Process of Sensemaking Presenter: Laura L. Rees; Queen's U. Presenter: Rangaraj Ramanujam; Vanderbilt U. Presenter: Bart Irwin Victor; Vanderbilt U. Presenter: David Lehman; U. of Virginia

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.339
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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