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Towards a theory of intentional behaviour change: Plans, planning, and self‐regulation
Author(s) -
Sniehotta Falko F.
Publication year - 2009
Publication title -
british journal of health psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.05
H-Index - 88
eISSN - 2044-8287
pISSN - 1359-107X
DOI - 10.1348/135910708x389042
Subject(s) - psychology , construct (python library) , identification (biology) , cognition , action (physics) , theory of planned behavior , psychological intervention , theory of reasoned action , psychological theory , behaviour change , behavior change , cognitive psychology , development theory , theory of change , cognitive science , social psychology , management science , computer science , control (management) , sociology , artificial intelligence , programming language , botany , physics , quantum mechanics , neuroscience , psychiatry , economics , anthropology , market economy , biology
Purpose Briefly review the current state of theorizing about volitional behaviour change and identification of challenges and possible solutions for future theory development. Method Review of the literature and theoretical analysis. Results Reasoned action theories have made limited contributions to the science of behaviour change as they do not propose means of changing cognitions or account for existing effective behaviour change techniques. Changing beliefs does not guarantee behaviour change. The implementation intentions (IMPs) approach to planning has advanced theorizing but the applications to health behaviours often divert substantially from the IMPs paradigm with regard to interventions, effects, mediators and moderators. Better construct definitions and differentiations are needed to make further progress in integrating theory and understanding behaviour change. Conclusions Further progress in theorizing can be achieved by (a) disentangling planning constructs to study their independent and joint effects on behaviour, (b) progressing research on moderators and mediators of planning effects outside the laboratory and (c) integrating planning processes within learning theory and self‐regulation theory.