The challenge of agility for adopting new business norms creates the need for measuring performance
under changing conditions. This study aims to demonstrate the financial and non-financial consequences
of implementing different combinations of lean techniques on the business performance. Bayesian Belief
Network is used in studying the effects of factors under changing conditions. There are seven lean factors
and four achievements studied to analyze the impact on three performance indicators. Bayesian Belief
Network is constructed on the lean aspects that stimuli flexibility, reliability, quality and time of operations, which will have positive impacts on the financial, non-financial and sustainability performances of
suppliers. A case study is carried out for suppliers in the automotive industry and scenarios with different
combinations of lean factors are studied. This study gives a new vision in applying Bayesian network for
business performance measures considering both the tangible and intangible results under changing
business conditions.