There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...

Factor modeling is a popular strategy to induce sparsity in multivariate models as they scale to higher dimensions. We develop Bayesian inference for a recently proposed latent factor copula model, which utilizes a pair copula construction to couple the variables with the latent factor. We use...

In management accounting research, the capabilities of Partial Least Squares Structural Equation Modelling (PLS-SEM) have only partially been utilized. These yet unexploited capabilities of PLS-SEM are a useful tool in the often explorative state of research in management accounting. After...

Purpose – Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares path modeling (PLS). Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use...

Innovation plays a critical role in predicting the long-term survival of organizations, determining an organization's success and sustaining its global competitiveness, especially in an environment where technologies, competitive position and customer demands can change almost overnight, and...

Purpose: To explore the impacts of IT infrastructure flexibility components (connectivity, modularity, compatibility, and IT personnel flexibility) on IT-business strategic alignment using Luftman's strategic alignment maturity model. Design/methodology/approach: A questionnaire was developed...