Product Variety, Supply Chain Structure, and Firm Performance: Analysis of the U.S. Bicycle Industry

By Taylor R. Randall, Karl T. Ulrich. Management Sciences, 2001

334 citations recorded by the source corpus.

Subfields: Management Information Systems, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/e0edac38b24dbd1a2d69dc0790958e1de57d6377

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Hau L. Lee
2. Lorin M. Hitt
3. Eli Ofek
4. Guodong (Gordon) Gao
5. Prasanna B. Tambe
6. Ö. Özer

In Management of Technology and Innovation

1. Lorin M. Hitt

Citations in the corpus

• When Online Reviews Meet Hyperdifferentiation: A Study of Craft Beer Industry (2006, background): “Research in operations management has focused on the production process required to provide product variety including the impact on design [23], internal operations [3, 15], and supply chain efficiency [24].”
• Too Much of a Good Thing: The Impact of Product Variety on Operations and Sales Performance (2012, background): “Most research has examined either the impact of product variety on operational performance or the impact of product variety on sales performance (Randall and Ulrich, 2001; Swaminathan and Tayur, 1998; Xia and Rajagopalam, 2009).”
• Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation (2017, background): “…product offerings help firms gain a sustainable competitive advantage (Calantone et al., 2010), these also result in higher complexity in the manufacturing and procurement processes of upstream suppliers, leading to higher uncertainty in the entire supply chain (eg., Randall and Ulrich, 2001).”
• Mass Customization versus Mass Production: Variety and Price Competition. (2005, neutral): “…from a supply-side perspective (Ramdas 2003, Ho and Tang 1998), often focusing on how increased product variety affects manufacturing or supply chain performance (e.g. Thonemann and Bradley 2002, Randall and Ulrich 2001, Fisher and Ittner 1999, Gupta and Srinivasan 1998, MacDuffie et al. 1996).”
• Manufacturer Benefits from Information Integration with Retail Customers (2004, result): “These results are comparable to Randall and Ulrich (2001) who validated their survey data with additional, self-reported performance metrics.”