Hillol Bala

TL;DR: This work draws from the vast body of research on the technology acceptance model (TAM) to develop a comprehensive nomological network of the determinants of individual level IT adoption and use and present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adopted and use of IT.

TL;DR: These guidelines elaborate on three important aspects of conducting mixed methods research: appropriateness of a mixed methods approach; development of meta-inferences; and assessment of the quality of Meta-Inferences.

TL;DR: A model is developed that employs behavioral intention, facilitating conditions, and behavioral expectation as predictors of the three conceptualizations of system use that explains 65 percent, 60 percent, and 60 percent of the variance in duration, frequency, and intensity ofSystem use respectively.

TL;DR: Using a cross-case analysis based on data from 11 firms in the high-tech industry, evidence is found to support propositions that relational depth, relationship extendability, and normative pressure were important for dominant firms while relational specificity and influence mechanisms wereImportant for nondominant firms.

TL;DR: This paper proposes a model that postulates that a set of TOE factors will have synergistic effects (i.e., interactions between a focal firm's and its partner's factors) on IBPS adoption and tests the effect of these factors in a study of 248 firms implementing RosettaNet-based IBPS.