Although corporations in the western world, especially those in the United States, have spent generously on information technology (IT) and information systems (IS) in recent decades, many empirical studies have found limited evidence for the payoffs of surging IT expenditures. In some cases, measures of IT spending were found to be either uncorrelated, or negatively associated, with the productivity or financial performance of the sample firms. To the dismay of the researchers and business executives, the phenomenon of the IT productivity paradox lingers on to this day. A review of the literature on this subject has pointed out several possible reasons underlying such inconsistencies, which include data and methodological problems and limitations of research models. Moreover, many of these studies have been criticized as weak in theoretical underpinning when they simply fed data into statistical models for the independent (IT spending), and dependent (productivity or financial performance) measures in order to empirically ascertain the relationships that might exist. In this chapter, a research model is proposed. With expectation to mitigate the shortcomings of some of the prior studies, this model incorporates improvements in business process as an independent construct in parallel to the capabilities of IT and enterprise systems. Competitive capabilities are included as an intermediate construct to help conceptualize the linkage between the independent constructs and the dependent construct of organizational performance. Theories and empirical evidence are drawn from associated management disciplines such as operations management and from a resources-based view of the firm to illustrate and explain that investment in IT and business processes will eventually contribute to organizational performance through the creation and enhancement of competitive capabilities. Finally, the theoretical and managerial implications of this research model are highlighted.
|Title of host publication||Intelligent Systems for Optical Networks Design|
|Subtitle of host publication||Advancing Techniques|
|Number of pages||43|
|Publication status||Published - 1 Dec 2007|
ASJC Scopus subject areas
- Chemical Engineering(all)