The Ohlson Model and its variants have been widely studied by researchers for value relevance of accounting information. It has been used to predict share prices and to assess the fundamental value of a firm. The original Ohlson Model does not clearly define the non-accounting information variables as the linear information dynamics variables. In relation to that, we propose a conceptual framework that includes the Piotroski F-Score, trading liquidity and systematic risk as the linear information dynamics variables in the Ohlson Model to improve prediction of share prices and forecasting capacity of the Ohlson Model or to better evaluate the fundamental value of the firm. Literature pertaining to Ohlson Model, Piotroski F-Score, trading liquidity and systematic risk are analysed, compared and synthesized to fulfil the research objective. It is expected that this paper will motivate future researchers to conduct more research in this field.