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The success of an organization depends on rapid, reliable, and direct communications within the organization and with the outside world. To determine if electronic mail (e-mail) provides a competitive benefit, a sample of 99 management-level participants in 41 companies responded to a survey that assessed their intraorganizational (internal) and interorganizational (external) uses of e-mail. Through the use of factor analysis and regression methodologies, the researchers investigated whether a significant relationship exists between the internal and external uses and benefits of e-mail. The intraorganizational uses of e-mail indicated a significant and positive relationship with the organizational benefits of e-mail, thus, supporting the electronic exchange of information within organizations.However, the results indicated that interorganizational uses of e-mail did not promote corporate communication outside the company. Thus, managers need to know which communication technology is appropriate for intraorganizational and interorganizational uses.

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Due to the intricacies surrounding taste profiles, one's view of good wine is subjective. Therefore, it is advantageous to provide a more objective, data‐driven way to assess wine preferences. Motivated by a previous study that modeled wine preferences using machine learning algorithms, this work presents an ensemble approach to predict a wine sample's quality level given its physiochemical properties. Results show the proposed framework out‐performs many sophisticated models including the one recommended by the motivational study. Moreover, the proposed framework offers a simple variable importance strategy to gain insight as to the relevance of the predictor variables and is applied to both simulated and real data. Given the predictive power of using ensembles, especially when they can be interpretable, practitioners can use the following approach to provide an accurate and inferential perspective towards demystifying wine preferences.

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