Modeling Distribution Channel Dynamics of North American Cars in the Spanish Automobile Industry

Abstract

Channels of distribution, Satisfaction, Performance, Partial Least Squares (PLS)., ,

Examining Market Information and Brand Equity Through Resource‐Advantage Theory: A Carrier Perspective

“…Significance statistics were produced in PLS by bootstrapping 1,000 subsamples of the data (Chin 1998). This procedure, which tests numerous randomly formed subsamples from within the data, permits the calculation of the Student T as well as generalization of the results (Mangin et al. 2009).…”

Marketing Channel Connectivities within the Indonesian Manufacturing Sector

“…Past study show the distributor dependence toward manufacturer positively influences the distributor satisfaction [32]. Here, Mangin, Valenciano, and Koplyay [32] find the distributor's exclusive agreements signed with the manufacturer(s) increase the distributor's satisfaction.…”

“…Past study show the distributor dependence toward manufacturer positively influences the distributor satisfaction [32]. Here, Mangin, Valenciano, and Koplyay [32] find the distributor's exclusive agreements signed with the manufacturer(s) increase the distributor's satisfaction. Provided the distributor dependence may create interdependence (two-way dependence) with the manufacturer [2] and both parties share similar positive influences of interdependence [31], thus the dependence of the manufacturer may lead to the distributor satisfaction.…”

Acceptance of E-Prescriptions and Automated Medication-Management Systems in Hospitals: An Extension of the Technology Acceptance Model

“…Regression coefficients are based on a bootstrapping of 500 samples (Efron and Gong 1983) and not on samples estimator. It permits the generalization of the results and the computation of the t-value for each hypothesis (Lévy et al 2009). The results are presented in Figure 3, and Table 5 summarizes the relationships between the different constructs.…”

“…These PLS characteristics are different from those of the Structural Equations Models based on covariance analysis, which requires a high sample due to the sensitiveness of the Chi-square test. Basically, the objective of the PLS modeling is predicting dependent variables, latent and manifest; maximizing the explained variance of the dependent variables; and minimizing the residual variance of endogenous variables (Lévy et al 2009). The PLS method is more oriented to the model predictability (Chin and Frye 2003), and the estimates' stability will be measured by the student t-statistic, issued from a bootstrapping made over random samples.…”