These results suggest no effect of the APOE genotype on susceptibility to MS, but indicate an association of the APOE epsilon4 allele with a more severe course of the disease.
For the past two decades, researchers have sought to understand how IT investment leads to organizational success. However, this has proven to be an elusive goal. We posit that a new perspective is needed to better understand IT investment. We must examine how the investment is enacted and reflected within the firm. We will argue that investment is enacted within the technology resources and corresponding business processes and reflected in the IT-business alignment. Based on the literature within Dynamics Capabilities Theory and IT-Business Alignment, we will propose a theoretical model that seeks to understand the impact of IT-enabled business processes and IT-business alignment on the strategic and operational success of a firm and whether the impacts experience a lag effect. Using data from fifty-eight European firms over a two-year period, we will build a structural equation model to test our theoretical model. The results indicate that alignment is important for strategic and operational success in year 1 but not in year 2. Furthermore, of the two, alignment has a stronger impact on strategic than operational success. In contrast, business process performance has an impact on organizational performance in year 1 and year 2. For both years, the impact on operational success is stronger than the strategic one. We also notice that the impact of business process performance on operational success decreases between year 1 and year 2, whereas the impact on strategic success is stronger in year 2 than in year 1.
Research into the acceptance of technology is in need of an alternative approach. Despite repeated calls for research to guide our colleagues-in-practice in the deployment of systems that are accepted, there has yet to be systematic research into the relationship between the decisions made by individuals and the bottom-line impact that is derived from user acceptance. This study fills the gap in the literature by theorizing a process-based view of information technology (IT) acceptance. We report on a narrative study of 30 users of an ERP deployment and, analyzing this qualitative data through the lens of the five decisions of acceptance proposed by Schwarz and Chin, propose a process model of IT acceptance. We conclude by theorizing on the relationship between these structures and the corresponding bottom-line impacts.
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