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Research Question

How Do Policy-Makers Manage Knowledge? The Effects of Codified and Personalized Strategies on Health Board Decision-Making. Elizabeth Quinlan and Harley Dickinson. Research Question

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Research Question

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  1. How Do Policy-Makers Manage Knowledge? The Effects of Codified and Personalized Strategies on Health Board Decision-Making. Elizabeth Quinlan and Harley Dickinson Research Question Hansen et al. (1999) recommend a 80/20 split of codified and personalized strategies for effective knowledge management. We ask: 1) What are the knowledge management practices of regional health board members? 2) Are their knowledge management practices effective? • Knowledge Management is….. • The capturing and application of tacit and explicit knowledge to achieve organizational goals. • In health care policy, organizational goals = policy decisions endorsed by clinicians and citizens. • There are two knowledge management (KM) strategies: • Codified: (person to document) • Personalized: (person to person). Model Results Hypothesized Model Codified KM Strategy (people to documents) Outcomes: support for policy decisions Board-level Support for Innovation Codified KM Strategy h1 h2 Outcomes: support for policy decisions 0.54 Board-level Support for Innovation 0.34 0.61 0.33 h3 Personalized KM Strategy (1) (2) h4 0.26 Job Satisfaction 0.06 Personalized KM Strategy (people to people) 0.27 Job Satisfaction h4 (3) h*) A personalized KM strategy is seen as socializing and un-related, or even opposed to, organizational innovation; h1) Organizational innovation encourages the use of a codified KM strategy; h2) A codified KM strategy improves policy decisions and health outcomes; h3) A personalized KM strategy directly improves outcomes; h4) A personalized KM strategy indirectly improves outcomes mediated by job satisfaction. • Conclusions • Both personalized (people <-> people) and codified (people <-> documents) KM strategies characterize knowledge transfer and utilization processes. • Contrary to the recommendations in the literature, effective knowledge management can be achieved through a 50/50 split of personalized and codified knowledge management strategies. • Future research needs to be done to determine if these KM practices are effective in other domains and if they are the optimal KM practices for regional health boards. • Data and Methods • Saskatchewan District Health Board Survey (HealNet, 1997) • Survey data collected from members of Saskatchewan’s 30 regional health boards. • N = 275. Response rate = 77%. • Structural equation modelling: • A multi-variate statistical technique which explores the underlying structures between variables. • We are guided by Hu and Bentler’s (1998) fit index thresholds: • SRMR < .08 and (CFI > 0.95 or RMSEA < 0.06).

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