Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.

 

Search Results

S. Liukkonen, M. Kozlova, R. Stepanov, J.S. Yeomans (2025). "Comparative Analysis of the Datar-Mathews Real Options Method and Simulation Decomposition for Strategic Environmental Decision-Making", Journal of Environmental Informatics Letters, 14, 1, 30-42.

Open Access Download

Keywords
Abstract
Incorporating uncertainty into environmental evaluations improves decision-making and methods taken from various disciplines have been used to support this task. This paper contrasts the performance of two distinct approaches: the Datar-Mathews method pertains to real options valuation inherited directly from finance theory, while Simulation Decomposition (SimDec) has its origins in global sensitivity analysis. The two methods provoke different research questions, different modeling resolutions, and supply different analytics. Our analysis suggests that global sensitivity analysis should be used in the exploration and project planning stages, while real options are more useful for explicitly pricing tasks.
 

Benjiamin, A., Bicer, I., de Reville, S. and Trigeorgis, L. (2013). "Real Options at the Interface of Finance and Operations: Exploiting Embedded Supply-Chain Real Options to Gain Competitiveness", The European Journal of Finance, 19(7-8), 760-778.

Open Access Download

Keywords
Abstract Exploiting embedded supply-chain real options creates powerful opportunities for competitive manufacturing in high-cost environments. Rather than seeking competitiveness through standardization as is common to lean production, real-options reasoning explores opportunities to use supply-chain variability as a strategic weapon. We present an illustrative case study of a Swiss manufacturer of cable extrusion equipment supported by a formal real-options model that aids in valuing the embedded options that make up supply-chain flexibility: postponement, contraction, expansion, switching, and abandonment. Real-options reasoning provides a plausible retrospective rationale for the case firm's use of supply-chain flexibility that provided protection against competition from low cost, but less responsive competitors. Their intuitive real-options reasoning facilitated incorporating fuller information concerning volatility, flexibility, and control into choosing what products to make, in what quantity, and with work allocated to which supplier. The case study also highlights how competing through exploiting embedded real options requires a different managerial skill set than does competing through cost reduction. Skills such as customer communication, supplier management, and ability to ensure a smooth flow of production join the ability to reduce and control lead times as key sources of competitive advantage.