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Building on a perspective of the entrepreneur as an interpretive agent, we argue that in situations where there is absolute uncertainty, heuristics are useful design rules that aid entrepreneurs' judgment by synthesizing mental models and expectations to enable purposeful action.
They also indicate the role of empirical assumptions, carry the structural assumptions, show how facts, hypotheses, models, and expectations are linked, and indicate the scope at which a generalization or model applies.
Some of you may outperform your models and expectations; some may underperform.
Failure to take account of diverse explanatory models and expectations may compromise care and clinical management of diseases, especially for chronic and asymptomatic diseases [ 13, 43, 45, 46].
This maybe an indication of a mismatch between providers' and patients' explanatory models and expectations and could explain low awareness about health promotion initiatives, the delay in seeking timely care for serious/chronic conditions such as diabetes or over-utilization of care services for minor/acute ailments described in this study.
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Confirmatory factor analysis was used to test the à priori assumption of a 6-factor model and expectations about which variables load onto which factors were tested likewise.
Applying their finding to this study, PHNs reported a value alignment with the NFP program, however discrepancies or inconsistencies between the NFP model and expectations of the public health unit could have an impact on the PHNs' compassion satisfaction.
These included: professional models, practices and expectations; institutional demands and perceived wishes of stroke survivors.
With regards to the professional models, practices and expectations, much was echoed from the previous research on goal setting [ 28, 38].
However, there were numerous perceived obstacles in achieving this partnership which fall under three broad categories; professional models, practices and expectations; institutional demands and time; and the perceived wishes of the stroke survivors themselves.
READSCAN reports the genome relative abundance (GRA) of those identified non-host microbial sequences implemented based on a proven finite mixture model and expectation maximization algorithm (Xia et al., 2011).
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models and requirements
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