Author List: Francalanci, Chiara; Galal, Hossam;
MIS Quarterly, 1998, Volume 22, Issue 2, Page 227-241.
This paper investigates the impact of IT investments and worker composition on the productivity of life insurance companies. The majority of previous IT productivity studies follow a technological imperative, hypothesizing a direct relationship between higher IT investments and increased productivity. This paper shifts the focus toward the organizational imperative, which views returns on IT investments as a result of the alignment between technology and other critical management choices. Specifically, the study focuses on the alignment between IT investments and worker composition, measured in terms of relative numbers of clerical, managerial, and professional positions to the total number of employees. Hypotheses are tested using a data set compiled over a 10-year period for 52 life insurance companies. With respect to prior research, the study is novel in its adoption of a model of productivity that accounts for both separate and combined effects of IT investments and worker composition. Premium income per employee and total operating expense to premium income are used as indicators of productivity. Study findings show that increases in IT expenses are associated with productivity benefits when accompanied by changes in worker composition. Life insurance companies that have decreased their proportion of clericals and professionals while at the same time investing in IT have experienced productivity improvements. On the other hand, companies decreasing their proportion of managers while investing in IT are found to have reduced productivity.
Keywords: information economics; IT-organizational alignment; Organizational productivity
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#148 0.372 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#223 0.271 insurance companies growth portfolios intensity company life portfolio industry newly vulnerable terms composition operating implemented factors asset focus disaggregation choices
#220 0.110 research study different context findings types prior results focused studies empirical examine work previous little knowledge sources implications specifically provide
#173 0.081 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship