Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. SalesTeam Supercharge: Unlocking High Performance Through Effective Compensation Strategies
Details

SalesTeam Supercharge: Unlocking High Performance Through Effective Compensation Strategies

Journal
Business Data Decisions | Data Challenge
ISBN
9781071960714
Type
case study
Date Issued
2024
Author(s)
Matthias Eggenschwiler  
Editor(s)
Brian A. Vander Schee
DOI
10.4135/9781071960714
Abstract
This Data Challenge focuses on sales team management and performance analysis using simulated data sets. The data sets provide valuable insights into salesperson contact volume, number of accounts, territories, time allotment, compensation, and sales potential forecasts. Through this Challenge, students will gain practical experience in analyzing sales team metrics, evaluating performance, and designing incentives: Which metrics are important performance indicators? Are incentives well designed to improve the firm’s performance? How can the incentive strategy be improved? Among those questions, students will learn sales team management analysis in a realistic setup. Students will gain valuable insights into the sales team’s performance by conducting descriptive analysis, applying correlational analytical methods, and interpreting the findings. These insights can be used to make data-driven recommendations for enhancing sales team effectiveness, resource allocation, and incentive design. Students can optimize the sales team’s performance by combining analytical rigor with practical considerations.
Language
English (United States)
HSG Classification
contribution to education
Publisher
SAGE Publications, Inc.
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/121392
Subject(s)

behavioral science

Division(s)

IRM - Institute of Re...

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify