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Semi-frequent article summaries & notes from a-small-lab (Chris Berthelsen)| contact: chris(at)a-small-lab.com | Creativity Research and Practice – IDEAS, MAKING, DOING | Based in Tokyo |

Drivers of organizational creativity: a path model of creative climate in pharmaceutical R&D (Sundgren et al., 2005)

Drivers of organizational creativity: a path model of creative climate in pharmaceutical R&D (Sundgren et al., 2005)

A framework of organizational creativity is presented, consisting of:

(1) Creative Climate (Dependent Variable):

Highest loadings relate to openness to new ideas, dynamic/playful atmosphere, freedom present unusual ideas. (Items relating to challenge, risk-taking, conflict and idea time were removed to avoid overlap with learning culture, below).

(2) Learning Culture:

Most items have high loadings. Highest for new idea rewards and correlation between organization stated vision and action. Also noted were items relating to use of experience/expertise and focus on idea generation.

(3) Information Sharing: Highest loadings on items relating to information sharing between and within projects/R&D sites. Lower loadings on items relating to access (frequency and ease) to scientific information.

(4) Intrinsic Motivation:

Happiness, positive involvement. Lower loading on motivation derived from work challenges.

(5) Extrinsic Motivation:

Highest loadings on motivation derived through salary, promotion or organizational recognition. Lower loading on work challenges (as above).

(6) Evaluation and Reflection:

Highest loading relates to the extent that the organization judges individuals based on their participation in informal networks and information sharing activities.

(7) Networking:

Highest loading on frequency of informal meetings (for knowledge/idea exchange). Also, frequency of contact with colleagues at other sites.

Path Model for Relations Among Latent Variables

  1. Networking, information sharing and evaluation and reflection variables exhibit mutually positive relationships. Networking does not exhibit influence on any other variables in the model.
  2. Evaluation positively affects learning culture and intrinsic and extrinsic motivation.
  3. Information sharing has a strong direct effect on learning culture and strong negative direct effects on intrinsic motivation and creative climate.
  4. Learning culture has a strong direct effect on creative climate and intrinsic motivation.
  5. While both positive, intrinsic motivation has a stronger effect than extrinsic motivation on creative climate.

See original text for methodology, limitations, discussion.

Original Text:

Sundgren, M., Dimenas, E., Gustafsson, J-E. and Selart, M. (2005). Drivers of organizational creativity: a path model of creative climate in pharmaceutical R&D. R&D Management 35(4), 359-374.

Related Books:

Managing Creativity in Organizations: Critique and Practices (edited by Alexander Styhre and Mats Sundgren

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