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Jannik Wolters

Abbreviated CV

  • Doctoral Student, WHU - Otto Beisheim School of Management, Vallendar, Germany, 2018-2022

Publications

  • Huchzermeier, Arnd; Wolters, Jannik; Uphues, Marcel (2022a): Case Article – The RealPro Customer Benefits Program: Rekindling Shopper Loyalty through a Subscription Service: Case Article. INFORMS Transaction on Education, 5 p.
  • Huchzermeier, Arnd; Wolters, Jannik; Uphues, Marcel (2022b): Case – The RealPro Customer Benefits Program: Rekindling Shopper Loyalty through a Subscription Service.INFORMS Transaction on Education, 11 p.
  • Huchzermeier, Arnd; Wolters, Jannik; Uphues, Marcel (2022c): The RealPro Customer Benefits Program: Rekindling Shopper Loyalty through a Subscription Service: Teaching Note. INFORMS Transaction on Education, 35 p.
  • Huchzermeier, Arnd; Wolters, Jannik; Uphues, Marcel (2022d): The RealPro Customer Benefits Program: Rekindling Shopper Loyalty through a Subscription Service: Slides. INFORMS Transaction on Education, 19 p.
  • Huchzermeier, Arnd; Wolters, Jannik; Uphues, Marcel (2022e): The RealPro Customer Benefits Program (B): Implementing Covariate Balancing and Difference-in-Differences Analysis: Case Study. INFORMS Transaction on Education, 2 p.
  • Huchzermeier, Arnd; Wolters, Jannik; Uphues, Marcel (2022f): Case – The RealPro Customer Benefits Program (B): Implementing Covariate Balancing and Difference-in-Differences Analysis: Teaching Note. INFORMS Transaction on Education, 26 p.
  • Wolters, Jannik (2022): Retail Pricing Analytics: Seasonal Promotion Demand Forecasting and Subscription Service Design. Dissertation, WHU – Otto Beisheim School of Management, 189 p.
  • Wolters, Jannik; Huchzermeier, Arnd (2021a): Dare if you can: Offering Subscription Discounts, Loyalty Rewards and Deep Promotions to your (grocery) customers. WHU – Otto Beisheim School of Management, 43 p.
  • Wolters, Jannik; Huchzermeier, Arnd (2021b): Joint In-Season and Out-of-Season Promotion Demand Forecasting in a Retail Environment. Journal of Retailing (Special Issue on Metrics and Analytics in Retailing), 97(4), 726-745
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