@article {1421,
	title = {Simulating a Biorefinery Ecosystem to Manage and Motivate Sustainable Regional Nutrient Circulation},
	journal = {Technology Innovation Management Review},
	volume = {11},
	year = {2021},
	month = {02/2021},
	pages = {33-43},
	publisher = {Talent First Network},
	chapter = {33},
	address = {Ottawa},
	abstract = {Creating an ecologically sustainable circulation of nutrients requires local solutions with commitment from all participating parties. Due to vast differences between various regions, it is very complicated, if not impossible, to create fair, simple, and applicable legislation that can consider all of these differences in a meaningful way. Thus, there is a need for clear and easy ways of developing sustainable and viable solutions locally, as well as communicating them with local community and all the way up to the supervising governmental representatives. To meet this need, we developed a simulation tool that allows the user to explore the effectiveness and impact of a local biorefinery in waste management. As an iterative model based on state machine agents, it can easily be modified for a multitude of scenarios with changes taking place over time, while considering the viewing points of all involved. In this article, we report the first version of this tool and demonstrate its usefulness in estimating suitable biogas reactor size in a biorefinery.},
	keywords = {Bioreactor, circular economy, nutrient recycling, simulation, waste management},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1421},
	url = {timreview.ca/article/1421},
	author = {Olli Koskela and Clemens Dempers and Maritta Kym{\"a}l{\"a}inen and Jarkko Nummela}
}
@article {839,
	title = {TIM Lecture Series {\textendash} Cybersecurity Metrics and Simulation},
	journal = {Technology Innovation Management Review},
	volume = {4},
	year = {2014},
	month = {10/2014},
	pages = {43-45},
	publisher = {Talent First Network},
	address = {Ottawa},
	keywords = {cybersecurity, metrics, modelling, simulation},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/839},
	url = {http://timreview.ca/article/839},
	author = {George Cybenko}
}
@article {714,
	title = {Protecting Critical Infrastructure by Identifying Pathways of Exposure to Risk},
	journal = {Technology Innovation Management Review},
	volume = {3},
	year = {2013},
	month = {08/2013},
	pages = {34-40},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Increasingly, our critical infrastructure is managed and controlled by computers and the information networks that connect them. Cyber-terrorists and other malicious actors understand the economic and social impact that a successful attack on these systems could have. While it is imperative that we defend against such attacks, it is equally imperative that we realize how best to react to them. This article presents the strongest-path method of analyzing all potential pathways of exposure to risk {\textendash} no matter how indirect or circuitous they may be {\textendash} in a network model of infrastructure and operations. The method makes direct use of expert knowledge about entities and dependency relationships without the need for any simulation or any other models. By using path analysis in a directed graph model of critical infrastructure, planners can model and assess the effects of a potential attack and develop resilient responses. },
	keywords = {critical infrastructure, cybersecurity, directed graph, modelling, path analysis, risk analysis, simulation, strongest-path method},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/714},
	url = {http://timreview.ca/article/714},
	author = {Philip O{\textquoteright}Neill}
}
@article {623,
	title = {Editorial: Insights (November 2012)},
	journal = {Technology Innovation Management Review},
	volume = {2},
	year = {2012},
	month = {11/2012},
	pages = {3-3},
	publisher = {Talent First Network},
	address = {Ottawa},
	keywords = {competitive advantage, global entrepreneurship, green innovation, innovation, process adaptability, process alignment, process ambidexterity, simulation, startups, supply chains},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/623},
	url = {http://timreview.ca/article/623},
	author = {Chris McPhee}
}
@article {625,
	title = {Simulation of Supply-Chain Networks: A Source of Innovation and Competitive Advantage for Small and Medium-Sized Enterprises},
	journal = {Technology Innovation Management Review},
	volume = {2},
	year = {2012},
	month = {11/2012},
	pages = {13-20},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {On a daily basis, enterprises of all sizes cope with the turbulence and volatility of market demands, cost variability, and severe pressure from globally distributed competitors. Managing uncertainty about future demand requirements and volumes in supply-chain networks has become a priority. One of the ways to deal with uncertainty is the utilization of simulation techniques and tools, which provide greater predictability of decision-making outcomes. For example, simulation has been widely applied in decision-making processes related to global logistics and production networks at the strategic, tactical, and operational levels, where it is used to predict the impact of decisions before their implementation in complex and uncertain environments. Large enterprises are inclined to use simulation tools whereas small and medium-sized enterprises seem to underestimate its advantages. The objective of this article is to emphasize the relevance of simulation for the design and management of supply-chain networks from the perspective of small and medium-sized firms. },
	keywords = {competitive advantage, innovation, simulation, small and medium-sized enterprises, SME, supply-chain network},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/625},
	url = {http://timreview.ca/article/625},
	author = {Giacomo Liotta}
}
