The use of spatial data has become a key factor in numerous public sector processes.However,recent evidence suggests that the seemingly obvious benefits of spatial data use and sharing often stay beyond reach.This pap...The use of spatial data has become a key factor in numerous public sector processes.However,recent evidence suggests that the seemingly obvious benefits of spatial data use and sharing often stay beyond reach.This paper examines whether the performance of spatial data in inter-organisational processes depends on the structural characteristics of the process involved.Process structure here refers to the way in which tasks are divided and coordinated between the organisations in a process chain,and to the allocation of the spatial data handling tasks in that process.Spatial data performance describes the level of access,use and sharing of spatial data in the process.The paper presents the results of a comparative case study of interorganisational public sector processes in the fields of urban planning,flood management,population registration,environmental permit delivery and road safety monitoring.The findings suggest that spatial data performance in inter-organisational processes depends on the interplay between the structural characteristics of the process.Unfragmented processes with embedded activities that are related to spatial data are apparently linked to a high level of spatial data performance,while fragmented processes without centralised coordination,or processes in which the spatial datarelated activities are separated from the actual process,seem to relate to lower levels of spatial data performance.展开更多
文摘The use of spatial data has become a key factor in numerous public sector processes.However,recent evidence suggests that the seemingly obvious benefits of spatial data use and sharing often stay beyond reach.This paper examines whether the performance of spatial data in inter-organisational processes depends on the structural characteristics of the process involved.Process structure here refers to the way in which tasks are divided and coordinated between the organisations in a process chain,and to the allocation of the spatial data handling tasks in that process.Spatial data performance describes the level of access,use and sharing of spatial data in the process.The paper presents the results of a comparative case study of interorganisational public sector processes in the fields of urban planning,flood management,population registration,environmental permit delivery and road safety monitoring.The findings suggest that spatial data performance in inter-organisational processes depends on the interplay between the structural characteristics of the process.Unfragmented processes with embedded activities that are related to spatial data are apparently linked to a high level of spatial data performance,while fragmented processes without centralised coordination,or processes in which the spatial datarelated activities are separated from the actual process,seem to relate to lower levels of spatial data performance.
