Information Worker Productivity Enabled by IT System Usage : A Complementary-Based Approach

Assessing the conditions of productivity of individual workers who process information and use IT has been a concern for many researchers. Prior studies have applied different theoretical foundations to study the relationship between IT use and productivity at individual level in post adoption scenarios and have provided mixed results. In the last decades, the proposition that there is a need for a set of factors to be changed in a synchronized fashion when using an IT system has received particular attention. Very little, however, is known about the configurations of these factors at individual level. To investigate this gap, we have designed a new research model of an information worker’s individual productivity when a more aligned IT system is used in a synchronized manner with both individual and organizational factors. The formulated research model is grounded on the complementarity theory, functioning here as a meta-theory guiding the linking of productivity theory, Kirton’s adaption-innovation theory, and several theoretical bodies on the structure of production processes and human resource management. The formulated model was tested in two empirical studies – a longitudinal quasi-randomized field experiment and an online experiment – conducted to investigate configurations of complementary factors that increase productivity when a new, more aligned IT system is used. Overall, the two studies shed important light on configurations of complementary factors and the improvement of the research design to study their impact on IT-enabled productivity. The obtained results contribute to the research that focuses on individual information worker IT-enabled productivity as well as research that rests on the complementarity theory with new configurations of complementary factors that, when matched correctly, can increase individual productivity of information workers. Eventually, the studies presented here advocate that further research is needed to increase our in-depth understanding of complementary factors and their impact on individual IT-enabled productivity of information workers