Measuring variable importance for computational models or measured data is an important
task in many applications. It has drawn our attention that the variable importance analysis …

Regression analysis is one of the most‐used statistical methods. Often part of the research
question is the identification of the most important regressors or an importance ranking of the …

In recent years, there has been proliferation of grocery mobile apps as grocery shopping on
mobile has found increasing acceptance among customers accelerated by multiple factors …

This article advocates for the wider use of relative importance indices as a supplement to
multiple regression analyses. The goal of such analyses is to partition explained variance …

Abstract The Amazon Alexa app is one of the most widely used voice assistant apps to
manage customer information-seeking behavior and voice shopping. It provides …

Multiple linear regression (MLR) remains a mainstay analysis in organizational research, yet
intercorrelations between predictors (multicollinearity) undermine the interpretation of MLR …

This paper reviews the advice-giving and advice-taking literature. First, the central findings
from this literature are catalogued. Topics include: advice utilization, confidence, decision …

Trust is an important factor for managing transaction costs within interorganizational
relationships (IORs). Research on trust indicates that separate dimensions of trust arise from …

Dominance analysis is a common method applied to statistical models to determine the
importance of independent variables. In this article, I describe two community-contributed …

While multicollinearity may increase the difficulty of interpreting multiple regression (MR)
results, it should not cause undue problems for the knowledgeable researcher. In the current …