Who I Am Not: Enhancing Self-Clarity through Cultivating Not-Me Identities

Neveen Saied & Katleen De Stobbeleir

Academy of Management Journal2026https://doi.org/10.5465/amj.2024.0530article
FT50UTD24AJG 4*ABDC A*
Weight
0.37

Abstract

How do people develop and leverage self-definitions of who and what they are not, or their “not-me” identities, to navigate their work lives? In contrast to dominant portrayals of not-me identities as negative or oppositional, we explore how they can serve as resources in identity work. Drawing on a grounded theory study of 80 interviews with independent workers and clients, we identify a process we call “identity filtering.” Through this process, individuals identify and disconfirm misaligned role or relational elements, cultivating not-me identity repertoires that serve as reference points for how they engage in and shape their role-relationships. We identify two distinct pathways: some individuals enact their not-me identities through setting boundaries and role screening, which in turn enhance their self-clarity. Others suppress their not-me identities by engaging in enmeshment, which generates emotional strain. These diverging paths emerge through distinct underlying mechanisms: self-worth and desire for control both enable enactment, while adaptability constrains it. By reconceptualizing not-me identities as resources, this study advances identity theory and deepens understanding of how (independent) workers navigate fluid role-relationships and uncertainty in contemporary work.

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@article{neveen2026,
  title        = {{Who I Am Not: Enhancing Self-Clarity through Cultivating Not-Me Identities}},
  author       = {Neveen Saied & Katleen De Stobbeleir},
  journal      = {Academy of Management Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.5465/amj.2024.0530},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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