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Complete

Description

Many workplaces have replaced annual reviews with ongoing performance evaluations, often through the integration and use of real-time feedback applications. These applications allow users to provide feedback through different device mediums. However, organizational leaders are not primarily concerned with convenience: Feedback structure and quality are paramount to the application’s effectiveness, and the distinct technological affordances of mobile and desktop devices may yield different feedback comments. This study uniquely investigates the impact of device medium (desktop vs. mobile) usage on textual feedback according to four helpfulness indicators: comment length, subjectivity, specificity, and valence. Analyzing two years of proprietary data obtained through an enterprise real-time feedback application via regression analysis, we interestingly find that the device medium impacts the four distinct helpfulness indicators differently. Our study underscores the impact of device type on evaluation outcomes and derived managerial insights will help organizational leaders looking to optimize real-time feedback app usage.

Paper Number

1288

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Aug 10th, 12:00 AM

Mobile or Desktop? That is the Question: An Empirical Study of the Role of Device Type on Real-time Employee Feedback Quality

Many workplaces have replaced annual reviews with ongoing performance evaluations, often through the integration and use of real-time feedback applications. These applications allow users to provide feedback through different device mediums. However, organizational leaders are not primarily concerned with convenience: Feedback structure and quality are paramount to the application’s effectiveness, and the distinct technological affordances of mobile and desktop devices may yield different feedback comments. This study uniquely investigates the impact of device medium (desktop vs. mobile) usage on textual feedback according to four helpfulness indicators: comment length, subjectivity, specificity, and valence. Analyzing two years of proprietary data obtained through an enterprise real-time feedback application via regression analysis, we interestingly find that the device medium impacts the four distinct helpfulness indicators differently. Our study underscores the impact of device type on evaluation outcomes and derived managerial insights will help organizational leaders looking to optimize real-time feedback app usage.

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