S
Sengun Yeniyurt
Researcher at Rutgers University
Publications - 45
Citations - 2942
Sengun Yeniyurt is an academic researcher from Rutgers University. The author has contributed to research in topics: Supply chain & Network theory. The author has an hindex of 23, co-authored 41 publications receiving 2504 citations. Previous affiliations of Sengun Yeniyurt include Saint Petersburg State University & Michigan State University.
Papers
More filters
Journal ArticleDOI
The impact of information technology on supply chain capabilities and firm performance: a resource-based view
TL;DR: In this paper, the authors proposed that IT-enabled supply chain capabilities are firm-specific, and hard-to-copy across organizations, and provided a new perspective in evaluating IT investment in the supply chain process.
Journal ArticleDOI
Does culture explain acceptance of new products in a country?: An empirical investigation
TL;DR: In this paper, the role of cultural differences in the acceptance of new products, as moderated by socio-economic variables, was investigated, and it was shown that individualism has a positive effect but the masculinity dimension has no significant effect on the diffusion of new product.
Journal ArticleDOI
An analytical framework for supply network risk propagation: A Bayesian network approach
TL;DR: A Bayesian Network approach is utilized and a model of risk propagation in a supply network is developed that takes into account the inter-dependencies among different risks, as well as the idiosyncrasies of a supply chain network structure.
Journal ArticleDOI
A longitudinal analysis of supplier involvement in buyers’ new product development: working relations, inter-dependence, co-innovation, and performance outcomes
TL;DR: In this article, the authors developed a longitudinal theoretical framework of supplier participation in buyers' new product development (NPD) activities and applied this framework to a 10-year longitudinal dataset from the North American automotive industry.
Journal ArticleDOI
Complementary approaches to preliminary foreign market opportunity assessment: country clustering and country ranking
TL;DR: This article proposed and illustrated the use of two complementary approaches to preliminary foreign market assessment and selection: country clustering and country ranking, which can be extremely useful to managerial decision makers in the early stages of foreign market selection.