4.6 Article

The negative impact of product variety: Forecast bias, inventory levels, and the role of vertical integration

Journal

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 186, Issue -, Pages 123-131

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpe.2017.02.002

Keywords

Product variety; Inventory levels; Forecast bias; Vertical integration

Ask authors/readers for more resources

Companies routinely increase product variety in order to enhance competitiveness and grow sales. Unfortunately, increasing product variety creates operational challenges and results in higher inventory levels. The large number SKUs deteriorate decision quality and can introduce forecast bias - the tendency to consistently over or under forecast into the system, further exacerbating the inventory problem. In this study, we evaluate how firms can increase product variety while managing inventory levels. Using balanced panel data collected from 283 distribution centers over 26 continuous four-week periods, we empirically test the mediation relationship of forecast bias on inventory levels. We find support for this relationship and show that firms can mitigate the negative effect of product variety on inventory levels by using strategies to reduce forecast bias. We then explore this relationship pre and post vertical integration, allowing us to test the impact of organizational change. Vertical integration creates opportunities for information sharing, lowering the uncertainty that may contribute to forecast bias. We find that the relationship is indeed moderated by vertical integration, suggesting that many of the operational challenges of increasing product variety can be improved through information transparency and coordination with supply chain partners. Collectively these findings provide important guidelines on how firms can increase product variety while maintaining inventory levels.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available