Asset-based Service Production under Uncertainty

Knowledge of service delivery is an asset and a competitive edge to service providers. However, the providers in the IT industry have not utilized the asset satisfactorily yet, as their clients’ requirements have some ambiguities due to the demand for fast and incremental web service production under ‘cloud’ environments. To increase reusability of data developed in the past, this paper proposes a method to identify suitable assets from service repositories with set-based synthesis of both designers’ and operators’ intentions. This paper also discusses kernel states, which provide disciplines for collaboration among practitioners in service production and adjust the assets for later explored requirements.