Moving towards a data-driven approach to self-leadership: exploring the combination of app-based reflection diaries and data-based ideation techniques

Christian Hoßbach, Miriam Bachmann, Kristiana Roth, Anne-Katrin Neyer

Research output: Contribution to journalArticlepeer-review

Abstract

Responding to the rapidly changing nature of work in organisations, self-leadership becomes an increasingly relevant competence. Although a lot of approaches for fostering self-leadership exist, they fall short of actualising technological potential for enabling people to derive self-leadership strategies based on systematic data collection. We present a data-driven approach to self-leadership that combines app-based reflection diaries with data-based ideation techniques and develop a prototypical intervention design to test its effectiveness. A randomised controlled field intervention with 61 students at a German university who needed to cope with the frequently changing study conditions during the COVID-19 pandemic provided initial support for its positive effects on self-leadership, creative self-efficacy, and resilience. An exploratory analysis of the daily reflection data provided further insights into potential mechanisms involved in this process. We discuss these findings to lay out an agenda for future research exploring data-driven approaches to self-leadership and their practical applications.

Original languageEnglish
Pages (from-to)25-47
Number of pages23
JournalInternational Journal of Entrepreneurship and Innovation
Volume28
Issue number1-2
DOIs
Publication statusPublished - 2024

Keywords

  • creative self-efficacy
  • creativity
  • data-driven approach
  • ideation
  • reflection app
  • reflection diary
  • resilience
  • self-leadership
  • self-monitoring
  • self-reflection
  • self-rewarding activities

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