Jan Hendrik Lampe

Jan Hendrik Lampe

Assistant Professor

ESSEC Business School

I work with large companies and organizations to help them make data-driven decisions that support employee development, increase performance, and improve engagement.

Curriculum Vitae

Interests
  • People Analytics
  • Performance Feedback
  • NLP/Computational Linguistics
Education
  • PhD in Management Accounting, 2018-2023

    WHU - Otto Beisheim School of Management

  • MSc in Economics & Business, 2014

    Erasmus School of Economics

  • BSc in International Economics & Development, 2012

    University of Bayreuth

Research

From Words to Actions: The Impact of Specificity and Causality in Narrative Feedback on Employee Performance Improvement
With the widespread use of narrative feedback in companies, understanding how such feedback can be valuable for employee performance improvement is important. Drawing on proprietary data from an e-commerce company, we investigate the role of language specificity and causality – two key language characteristics relevant to self-regulation and learning. Our findings suggest that the effects of specificity and causality differ depending on whether the feedback refers to strengths or weaknesses. Specifically, employees are more likely to improve when they receive more specific narrative feedback on their strengths, consistent with employees engaging in more systematic exploration when feedback refers to many desirable behaviors. In contrast, we find that increases in the specificity of narrative feedback on weaknesses can have negative performance consequences, which aligns with unsystematic exploration when the feedback refers to many undesirable behaviors. Furthermore, in line with employees gaining a better understanding of why certain behaviors were undesirable, employees are more likely to improve when narrative feedback on their weaknesses contains a higher degree of language causality. In additional analyses, we find evidence consistent with supervisor characteristics moderating the relation between language causality and employee performance improvement. Overall, this study provides novel empirical insights into the types and characteristics that make feedback valuable.
Whose Opinion Matters? Multi-Rater Information in Potential and Performance Evaluations
With potential evaluations widespread in practice, it is important to understand how these evaluations are formed. Drawing on proprietary data from a large European manufacturing firm, we examine the evaluation-specific informativeness of multi-rater ratings for the supervisor’s subjective evaluation of potential and performance. We predict and find that the supervisor’s own rating is informative for both subsequent potential and performance evaluations. Ratings by other members of the organization are incrementally informative for performance but not potential. For potential, we find that the source of the information matters: information associated with higher-ranked raters is incrementally more informative for potential evaluations than information associated with other sources. Further analyses indicate that the ratings of higher-ranked raters are incrementally informative for performance evaluations, while higher-ranked-rater representation on the rater panel is informative for potential. Our findings suggest that the informativeness of multi-rater information depends jointly on the evaluation objective and the organizational source of that information: performance-relevant information is distributed throughout the organization, whereas evaluating future-job suitability requires consideration of the source of that information. Firms should therefore align rater-panel compositions with the personnel judgment the performance management system is intended to support.