This paper makes a focused methodological contribution to the information systems (IS)
literature by introducing a bivariate dynamic latent difference score model (BDLDSM) to …

Abstract This paper introduces Latent Growth Modeling (LGM) as a feasible method for
analyzing longitudinal data to understand the process of change over time. Given the need …

The use of structural equation modeling (SEM) has grown dramatically in the field of
management information systems (MIS) in the past twenty years, but SEM's focus has been …

This paper presents and extends Latent Growth Modeling (LGM) as a complementary
method for analyzing longitudinal data, modeling the process of change over time, testing …

Recently, scholars in various disciplines have called for the use of longitudinal research
designs to test and build theory. Their argument is that key phenomena in virtually every …

Time is an important factor in the use of information technology. However, traditional
information systems research methods cannot adequately account for the dynamic nature of …

Geared towards capturing change, longitudinal research is able to provide insight into a
variety of phenomena of interest to IS researchers, especially IT adoption and use. However …

As business services become increasingly dependent on information technology (IT), it also
becomes increasingly important to maximize the decision support for managing IT …

Geared towards capturing change, longitudinal research is able to provide insight into a
variety of phenomena of interest to IS researchers, especially IT adoption and use. However …

Contemporary healthcare analytics requires informed decision-making through seamless
integration, correlation, and curation of diverse data from sources like clinical trials, research …