Workflow technology has been a core technology for modeling, analysis, management and monitoring of business processes for over a decade. The automation brings forth many benefits including optimized results, reduced cost, better control and greater satisfaction. But current workflow management systems have problems dealing with dynamic workflows and are little effective in handling evolutionary and momentary changes in the processes. Many approaches have been introduced and adopted over the years to manage change in workflows ranging from flexible composition of workflows to ad hoc treatment of workflow instances and even migration of workflows to changed process models. However, introduction of workflows in latest technology trends especially in pervasive and mobile computing brings about a new dimension of change management which is the adaptation of workflows depending upon contextual information acquired through physical and logical sensors/ devices to effectively achieve the process goal. Such workflows modeling and management demands modifications and extensions in existing approaches and models of workflows to cater for the changed situations, user demands and system constraints. Research in the area of context-aware (also called smart) workflows is quite new and although various methods and frameworks are now being introduced, they are still far from maturity and generally surrounds a particular area of interest. This paper surveys the existing approaches in context-aware workflow modeling and management and further to our contributions are the identification of issues and presentation of general requirements for context-aware workflow systems.