Tim Vahle-Hinz

Organizational Behavior and Human Resource Management · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Vahle-Hinz trusts overall

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

  1. Sabine Sonnentag
  2. C. Fritz
  3. Carmen Binnewies
  4. T. Little
  5. D. Fasko
  6. Arnold B. Bakker
  7. Evangelia Demerouti
  8. Gordon W. Cheung
  9. B. Hennessey
  10. Daniel P Johnson

Papers from Tim Vahle-Hinz's perspective

Ordered by how strongly the researchers Tim Vahle-Hinz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Recovery, work engagement, and proactive behavior: a new look at the interface between nonwork and work. (Journal of Applied Psychology)
  2. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (American Psychologist)
  3. The Recovery Experience Questionnaire: development and validation of a measure for assessing recuperation and unwinding from work. (Journal of Occupational Health Psychology)
  4. The role of positive emotions in positive psychology. The broaden-and-build theory of positive emotions. (American Psychologist)
  5. Self-regulation and depletion of limited resources: does self-control resemble a muscle? (Psychological bulletin)
  6. Intrinsic Motivation and Self-Determination in Human Behavior
  7. Job characteristics and off-job activities as predictors of need for recovery, well-being, and fatigue. (Journal of Applied Psychology)
  8. Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: a meta-analysis. (Journal of Applied Psychology)
  9. Recovery, well-being, and performance-related outcomes: the role of workload and vacation experiences. (Journal of Applied Psychology)
  10. Daily performance at work : feeling recovered in the morning as a predictor of day-level job performance

Their papers