Using interdependence as a predictor of data standards. Theoretical and measurement issues

More precise conceptualizations of interdependence and better models of the tradeoffs between standardization and alternative means of dealing with inconsistent data semantics are required to better understand how investments in standardized data impact organizational outcomes.

Abstract

The standardization of data semantics (definitions, names, identifiers, domains, and constraints) across organizational units and systems is one means of coordinating the activities of these units. Since the need for subunit coordination is considered a function of the level of interdependence among subunits, many authors have hypothesized a positive relationship between subunit interdependence and the use of semantic standards. Empirically testing this relationship revealed two surprising results. First, commonly used operational definitions of interdependence from previous research were found to measure different dimensions and hence could not be used interchangeably. Second, no relationship between any of the operational definitions of subunit interdependence and the use of data standards was found. These findings lead us to believe that more precise conceptualizations of interdependence and better models of the tradeoffs between standardization and alternative means of dealing with inconsistent data semantics are required to better understand how investments in standardized data impact organizational outcomes.