The present study was conducted to determine whether trainees’ general beliefs about training affect pretraining motivation and transfer of training in a large-scale training curriculum. In addition, the influence of social support for training from four organizational constituents (top management, supervisors, peers, and subordinates) and task constraints in the work environment on pretraining motivation and training transfer were evaluated. Nine hundred sixty-seven managers and supervisors completed a questionnaire that assessed 14 constructs. Structural equations analysis with LISREL VII indicated that the overall reputation of training, intrinsic and compliance incentives, organizational commitment, and three social support variables (subordinate, supervisor, and top management support) were predictive of pretraining motivation. In addition, pretraining motivation and subordinate, peer, and supervisor support were predictive of managers’ perceived training transfer. These findings suggests that previous theory and research (e.g., Noe, 1986; Noe & Schmitt, 1986) serve as a useful heuristic for predicting the effects of general beliefs about training on training effectiveness. Implications of the-findings for future research and practice are discussed.
Despite the logical association between market orientation (MO) and the supply chain management concepts of supply chain orientation (SCO) and supply chain management (SCM), and the potential mediating role of SCO and SCM in the MO-firm business performance (PERF) relationship, there have been few, if any, attempts to investigate MO in a supply chain context. Thus, this study tests the relationships between MO, SCO, SCM, and PERF. Results indicate MO has a strong, positive impact on SCO and SCM. Interestingly, SCO was found to have the largest direct influence on PERF, followed by MO, followed by SCM. Managers should realize that SCO is critical to fulfilling customer requirements, i.e., a firm's efforts to work with supply chain partners will not pay off if the firm is not supply chain-oriented. Although overshadowed by SCO, MO is still a foundation for managing the supply chain and has a positive impact on PERF. Equally important, the fact that the contribution of SCM to firm performance is overshadowed by MO and SCO does not mean SCM is irrelevant in corporate strategy. Managerial and future research implications of these findings are discussed.
This article reports the results of a Monte Carlo simulation comparing four different indices of relative importance (squared correlation, squared beta, product measure, epsilon) to a relatively new method called dominance analysis. Conceptually and empirically, dominance analysis represents an improvement over traditional indices of relative importance. Eight experimental factors were manipulated in the simulations: mean and standard deviation of validity for each predictor, mean and standard deviation of collinearity for two sets of predictors, number of predictors, and presence of simple structure. Of these factors, the number of predictors and the mean collinearity were most strongly related to discrepancies among the rank orders computed using the different importance methods. Across all experimental conditions, the epsilon statistic demonstrated the greatest convergence and beta weights and correlation coefficients the greatest divergence with dominance.
A primary objective of validity generalization (VG) analysis is to decompose the between-situation variance in validities into (a) variance attributable to between-situation differences in statistical artifacts and (b) variance attributable to between-situation differences in (unidentified) situational moderators. This process is based on the assumption that the effects of statistical artifacts on validities are independent of the effects of situational moderators on validities. The present article seeks to question the independence assumption by theoretically integrating situational variables into the VG estimation process. It is shown that the independence assumption may be untenable because at least one artifact-criterion reliability-is a function of, rather than independent of, the situational variables that moderate validities. An alternative approach to VG analysis is recommended. This approach rests heavily on proactive research designs in which potential situational moderators are included in the generalizability analysis.We would like to thank Charles Glisson for his helpful suggestions and advice.
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