Angelos Georghiou,听Assistant Professor in Operations Management, was recently听appointed Associate Editor of Energy Systems - Optimization, Modeling, Simulation, and Economic Aspects.
The journal Energy Systems presents mathematical programming, control, and economic approaches towards energy systems related topics, and is especially relevant in light of the major worldwide challenges confronting humanity in this century.
础耻迟丑辞谤蝉:听Jorien Pruijssers, Pursey Pmar Heugens and Hans J. Van Oosterhout
Publication: Journal of Business Ethics, Forthcoming
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础耻迟丑辞谤蝉:听Wei Qi and Zuo-Jun Max Shen
Publication: Production and Operations Management, Forthcoming
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We are entering an era of great expectations towards our cities. The vision of 鈥渟mart city鈥� has been pursued worldwide to transform urban habitats into superior efficiency, quality and sustainability. This phenomenon prompts us to ponder what role the scholars in operations management (OM) can assume. In this essay, we express our initial thoughts on expanding OM to the smart-city scope. We review smart-city initiatives of governments, industry, national laboratories and academia. We argue that the smart-city movement will transition from the tech-oriented stage to the decision-oriented stage. Hence, a smart city can be perceived as a system scope within which planning and operational decisions are orchestrated at the urban scale, reflective of multidimensional needs, and adaptive to massive data and innovation. The benefits of studying smart-city OM are manifold and significant: contributing to deeper understanding of smart cities by providing advanced analytical frameworks, pushing OM knowledge boundaries (such as data-driven decision making), and empowering the OM community to deliver much broader impacts than before. We discuss several research opportunities to embody these thoughts, in the interconnected contexts of smart buildings, smart grid, smart mobility and new retail. These opportunities arise from the increasing integration of systems and business models at the urban scale.
Congratulations to听Alain Pinsonneault,听Professor in Information Systems, awarded the听2018 SSHRC Insight Grant听鈥淭he impact of explorative and exploitive use of information technology on individual performance鈥�.
Congratulations to听Jui Ramaprasad,听Associate Professor of Information Systems, and Alain Pinsonneault, Professor of Information Systems, awarded the 2018 SSHRC Insight Grant听鈥淓xamining Value Creation in the Digital Economy: A Platform Engagement Perspective鈥�.
础耻迟丑辞谤蝉:听Brian Rubineau, Yisook Lim and Michael Neblo
Publication: Social Networks, Vol. 56, January 2019
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础耻迟丑辞谤蝉:听Hamid Etemad and Christian Keen
Publication:听International Journal of Entrepreneurship and Small Business, Vol. 34, No. 4, 2018
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础耻迟丑辞谤蝉:听Manaf Zargoush, Mehmet Gumus, Vedat Verter,听Stella S. Daskalopoulou
Publication: Production and Operations Management, Forthcoming
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Limited guidance is available for providing patient鈥恠pecific care to hypertensive patients, although this chronic condition is the leading risk factor for cardiovascular diseases. To address this issue, we develop an analytical model that takes into account the most relevant risk factors including age, sex, blood pressure, diabetes status, smoking habits, and blood cholesterol. Using the Markov Decision Process framework, we develop a model to maximize expected quality鈥恆djusted life years, as well as characterize the optimal sequence and combination of antihypertensive medications. Assuming the physician uses the standard medication dose for each drug, and the patient fully adheres to the prescribed treatment regimen, we prove that optimal treatment policies exhibit a threshold structure. Our findings indicate that our recommended thresholds vary by age and other patient characteristics, for example (1) the optimal thresholds for all medication prescription are nonincreasing in age, and (2) the medications need to be prescribed at lower thresholds for males who smoke than for males who have diabetes. The improvements in quality鈥恆djusted life years associated with our model compare favorably with those obtained by following the British Hypertension Society's guideline, and the gains increase with the severity of risk factors. For instance, in both genders (although at different rates), diabetic patients gain more than non鈥恉iabetic patients. Our sensitivity analysis results indicate that the optimal thresholds decrease if the medications have lower side鈥恊ffects and vice versa.
础耻迟丑辞谤蝉:听Mohammad E. Nikoofal, Mehmet Gumus
Publication: Manufacturing & Service Operations Management, Vol. 20, No. 3, Summer 2018
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Nathan Yang, Assistant Professor in Marketing, selected participant in joint Quebec and China seminar Big Data and Management.
As part of the collaborative agreement between the Fonds de recherche du Qu茅bec 鈥� Soci茅t茅 et culture (FRQSC) and the National Natural Science Foundation of China (NSFC), a delegation of Qu茅bec researchers will take part in a seminar on the use of big data in management science in Nanjing, China, from September 18 to 20, 2018.
Congratulations to Matissa Hollister, Assistant Professor in Organizational Behaviour, awarded the 2018 SSHRC Insight Grant 鈥淪hould I Stay or Should I Go 鈥� the Consequences of Job Mobility on Future Hiring Prospects鈥�.
Congratulations to Yu Ma, Associate Professor in Marketing, Laurette Dub茅, Professor in Marketing and听Nathan Yang, Assistant Professor in听Marketing, on being awarded the 2018 SSHRC Insight Grant 鈥淎n Empirical Investigation of Digital Goods Consumption and Its Impact on Word-of-Mouth Marketing鈥�.
Congratulations to Myung-Soo Jo, and Emine Sarigollu,听Professors in Marketing, on being awarded the 2018 9I制作厂免费 Sustainability Systems Initiative (MSSI) New Opportunities award 鈥淔rom a Throwaway Society into a Sustainable Society: A Consumer Perspective鈥�.
Congratulations to Myung-Soo Jo, and Emine Sarigollu,听Professors in Marketing,听on being awarded the 2018 SSHRC Insight Grant 鈥淭he Demand and Supply Sides of Corruption鈥�.听
础耻迟丑辞谤蝉:听Mohammad E. Nikoofal,听Mehmet Gumus
Publication: Production and Operations Management, Forthcoming
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This paper develops a dyadic supply chain model with one buyer who contracts the manufacturing of a new product to a supplier. Due to the lack of experience in manufacturing, the extent of supply risk is unknown to both the buyer and supplier before the time of contract. However, after the contract is accepted, the supplier may invest in a diagnostic test to acquire information about his true reliability, and use this information when deciding on a process improvement effort. Using this setting, we identify both operational and strategic benefits and costs of diagnostic test. Operationally, it helps the supplier to take the first-best level of improvement effort, which would increase efficiency of the total supply chain. Strategically, it enables the buyer to reduce the agency costs associated with implementing process improvement on the supplier. Besides these benefits, diagnostic test increases the degree of information asymmetry along the supply chain. This in turn provides the supplier with proprietary information, whose rent would be demanded from the buyer in equilibrium. Benefit-cost analysis reveals two key factors in determining the value of diagnostic test: (i) degree of endogenous information asymmetry between supply chain firms, and (ii) the relative cost of diagnostic test with respect to process improvement cost. Our results indicate that when both are high, the mere presence of diagnostic test can result in less reliable supply chain. This implies that when incentives are not properly aligned, information asymmetry amplified due to diagnostic test neutralizes all its benefits.
