Ella Miron-Spektor

Social Psychology · 2010–2020

A researcher in the Science corpus: 8 papers; trusts 74 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ella Miron-Spektor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jing Zhou
  2. Marianne W. Lewis
  3. Christina T. Fong
  4. Peer C. Fiss
  5. S. Taggar
  6. C. D. De Dreu
  7. Jennifer M. George
  8. E. Miron
  9. Andrew F. Hayes
  10. Markus Baer

Who trusts Ella Miron-Spektor overall

  1. Linda Argote
  2. Chang Hoon Oh
  3. Yan Shao
  4. Oksana Koryak
  5. Joshua Keller
  6. Roy Y J Chua
  7. Kathrin Rosing
  8. Marc Lavine
  9. Yanjun Liu
  10. Sara Harvey

Papers from Ella Miron-Spektor's perspective

Ordered by how strongly the researchers Ella Miron-Spektor trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Sparkling Fountains or Stagnant Ponds: An Integrative Model of Creativity and Innovation Implementation in Work Groups
  2. Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis.
  3. When the presence of creative coworkers is related to creativity: role of supervisor close monitoring, developmental feedback, and creative personality. (Journal of Applied Psychology)
  4. FROM SENSEMAKING IN ORGANIZATIONS
  5. Individualism-collectivism and group creativity.
  6. When is educational specialization heterogeneity related to creativity in research and development teams? Transformational leadership as a moderator. (Journal of Applied Psychology)
  7. Minority dissent and team innovation: the importance of participation in decision making. (Journal of Applied Psychology)
  8. CREATIVITY IN CONTEXT
  9. The curvilinear relation between experienced creative time pressure and creativity: moderating effects of openness to experience and support for creativity. (Journal of Applied Psychology)
  10. Individual Creativity and Group Ability to Utilize Individual Creative Resources: A Multilevel Model

Their papers