M Business Administration and Business Economics; Marketing; Accounting
Refine
Year of publication
- 2017 (2) (remove)
Document Type
- Doctoral thesis (2)
Institute
Language
- English (2)
Keywords
- Assortment planning (1)
- Beschwerde (1)
- Brand community (1)
- Brand community identification (1)
- Conflict style (1)
- Einzelhandel (1)
- Experiment (1)
- Kategorienmanagement (1)
- Konflikttheorie (1)
- Logistik (1)
This dissertation consists of three articles that point out new perspectives on customer experience in service recovery, and that enrich the current state of research through considerable efforts to better understand customer responses to service failure and recovery:
1. Hogreve, J., Bilstein, N., & Mandl, L. (2017). Unveiling the recovery time zone of tolerance: when time matters in service recovery. Journal of the Academy of Marketing Science, doi: 10.1007/s11747-017-0544-7, 1-18.
2. Mandl, L. (2017). Customer conflict styles in service recovery: an empirical analysis. In Buettgen, M. (Ed.), Beiträge zur Dienstleistungsforschung 2016 (pp. 97-113). Wiesbaden: Springer.
3. Mandl, L., & Hogreve, J. (2017). The buffering effect of brand community identification in service failure episodes: the role of customer citizenship behaviors. Paper currently under review at the Journal of Business Research.
The first article takes a new perspective on recovery time and compensation, which service research commonly describes and investigates as two independent service recovery strategies. In contrast, this article discovers and specifies a direct link between recovery time and customers’ compensation expectations about service failures.
The second article presents a new perspective on measuring customer responses to inadequate service recovery. Based on conflict theory, this study conceptually develops and empirically tests a model that examines a broad range of different customer responses to service recovery instead of solely measuring customers’ satisfaction with service recovery.
The third article provides a new perspective on the role of close relationships in service recovery. Whereas most research focuses on the impact of strong customer-firm relationships on customer responses to service recovery, this is the first empirical study to investigate the role of strong relationships in a service recovery and brand community context.
The essays of the cumulative dissertation are concerned with the topic of retail shelf-space optimization.
Increasing product proliferation as well as decreasing space productivity force retailers to efficiently use the limited retail shelf space and assign the right shelf quantities to products they offer to customers. Optimization models support retailers with these decisions.
The first essay analyzes how demand volatility can be integrated into shelf-space optimization models. The developed optimization model furthermore accounts for space- and cross-space elasticities as well as vertical shelf positions. A specialized heuristic solves the model efficiently and returns near-optimal results. The second essay builds on the optimization model developed in the first essay and conducts extensive numerical analyses to examine the impact of cross-space elasticities on optimal shelf quantities. The essay shows that cross-space elasticities have a negligible impact on space decisions. Therefore, the complex measurement as well as the development of corresponding optimization models are of minor relevance for future research.
The third and fifth essay extend the optimization model from the first essay by integrating adjacent decision problems. The third essay accounts for the assortment decision, i.e., supports retailers in selecting the products to offer. Apart from space elasticities, the model accounts for substitution behavior in case items are unavailable and shows that both demand effects reinforce each other, which is why they should be accounted for simultaneously. The fifth essay shows how retails can furthermore guarantee the efficient replenishment of shelves and examines the impact of the availability of a backroom on optimal shelf quantities.
The fourth essay improves the algorithm developed for the optimization model from the third essay. The improved heuristic yields higher retail profits in shorter runtime.