The Value of Information Sharing in a Two-Level Supply Chain
By Hau L. Lee, Kut C. So, Christopher S. Tang. 2000
2,310 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Marketing
View Paper: https://www.semanticscholar.org/paper/b802c0b138844cee98e4d67c22e1b0841b60c626
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In Management Information Systems
- Stephen M. Disney
- Shilu Tong
- Albert Y. Ha
- Xun Wang
- Ö. Özer
- Fangruo Chen
- Michael E. Ketzenberg
- Vinod R. Singhal
In Management Science and Operations Research
- Ö. Özer
- Shilu Tong
- Albert Y. Ha
- Stephen M. Disney
- Xun Wang
- Konstantinos Nikolopoulos
- Xu Guan
- Yushi Tsunoda
In Marketing
- Stephen M. Disney
- Mark E. Ferguson
- Xun Wang
- Xu Guan
- Gérard P. Cachon
- Yushi Tsunoda
- Yusuke Zennyo
- Ying‐ju Chen
Citations in the corpus
- Information sharing and coordination in make-to-order supply chains (2005, background): “As also noted by Lee et al. (2000) and other researchers, channel improvements often call for supply chain contracts or agreements to equitably distribute the benefits and motivate optimal channel decisions.”
- Interfaces with Other Disciplines Impact of demand correlation on the value of and incentives for information sharing in a supply chain (2003, background): “2 See Lee et al. (2000) for the impact of manufacturer and retailer lead times on the benefits of information sharing.”
- The Bullwhip Effect—Impact of Stochastic Lead Time, Information Quality, and Information Sharing: A Simulation Study (2004, background): “Lee, So, and Tang (2000) and Dejonckheere et al. (2004) come to similar conclusions.”
- Information sharing in supply chains: Incentives for information distortion (2007, background): “Raghunathan (2001) showed that the results derived by Lee et al. (2000) overestimate the benefit of demand information sharing if the manufacturer uses the entire order history to do its forecast.”
- Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information (2006, background): “…research suggests that inventory information can improve the procurement process for a supplier serving one or more retailers (e.g., Bourland et al. 1996, Lee et al. 2000, Cachon and Fisher 2000, Gavirneni et al. 1999) and for multiple decision makers in a serial supply chain (Chen 1998).”
- Information Transmission and the Bullwhip Effect: An Empirical Investigation (2012, neutral): “We consider a firm that produces a single output unit from a single input unit, ordered from a supplier that meets orders promptly (see Gavirneni et al. 1999, Lee et al. 2000, Chen and Lee 2009).”
- Information Quality and Supply Chain Performance: The Mediating Role of Information Sharing (2015, background): “Li et al. (2005) identified six dimensions of SCM practices, namely strategic supplier partnership, customer relationship, information sharing, information quality, internal lean practices and postponement.”
- Knowledge Hiding in Academia: Is Personality a Key Factor? (2015, background): “For example, Lin and Wang (2012) define knowledge witholding as concealing the knowledge that is important or valuable to others. Duffy, Ganster and Pagon (2002) addressed the issue of knowledge witholding as a form of social undermining at work.”
- Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities (2006, background): “Similarly, production and delivery schedules can be shared to enhance operational efficiencies through improved coordination of allocated resources, activities, and roles across the supply chain (Lee et al. 2000).”
- An Empirical Analysis of the Effect of Supply Chain Disruptions on Long‐Run Stock Price Performance and Equity Risk of the Firm (2005, background): “Evidence on the negative economic impact of disruptions can change a firm’s perceptions on the importance of anticipating and managing the risk of disruptions.”
- Models for Supply Chains in E-Business (2003, background): “Lee et al. (2000) study the value of information in a two-level supply chain with nonstationary end demand and show that value of information could be high, particularly in cases where demand may be correlated over time.”