Authors: Jorien Pruijssers, Pursey Pmar Heugens and Hans J. Van Oosterhout
Publication: Journal of Business Ethics, Forthcoming
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Published on: 12 Sep 2018
Authors: 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 “smart city” 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.
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Published on: 10 Sep 2018
Congratulations to Alain Pinsonneault, Professor in Information Systems, awarded the 2018 SSHRC Insight Grant “The impact of explorative and exploitive use of information technology on individual performance”.
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Published on: 5 Sep 2018
Congratulations to Jui Ramaprasad, Associate Professor of Information Systems, and Alain Pinsonneault, Professor of Information Systems, awarded the 2018 SSHRC Insight Grant “Examining Value Creation in the Digital Economy: A Platform Engagement Perspective”.
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Published on: 5 Sep 2018
Authors: Brian Rubineau, Yisook Lim and Michael Neblo
Publication: Social Networks, Vol. 56, January 2019
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Published on: 5 Sep 2018
Authors: Hamid Etemad and Christian Keen
Publication: International Journal of Entrepreneurship and Small Business, Vol. 34, No. 4, 2018
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Published on: 5 Sep 2018
Authors: Manaf Zargoush, Mehmet Gumus, Vedat Verter, Stella S. Daskalopoulou
Publication: Production and Operations Management, Forthcoming
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Limited guidance is available for providing patient‐specific 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‐adjusted 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‐adjusted 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‐diabetic patients. Our sensitivity analysis results indicate that the optimal thresholds decrease if the medications have lower side‐effects and vice versa.
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Published on: 8 Aug 2018
Authors: Mohammad E. Nikoofal, Mehmet Gumus
Publication: Manufacturing & Service Operations Management, Vol. 20, No. 3, Summer 2018
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Published on: 7 Aug 2018
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 Québec – Société et culture (FRQSC) and the National Natural Science Foundation of China (NSFC), a delegation of Québec 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.
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Published on: 23 Jul 2018
Congratulations to Matissa Hollister, Assistant Professor in Organizational Behaviour, awarded the 2018 SSHRC Insight Grant “Should I Stay or Should I Go – the Consequences of Job Mobility on Future Hiring Prospects”.
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Published on: 23 Jul 2018
Congratulations to Yu Ma, Associate Professor in Marketing, Laurette Dubé, Professor in Marketing and Nathan Yang, Assistant Professor in Marketing, on being awarded the 2018 SSHRC Insight Grant “An Empirical Investigation of Digital Goods Consumption and Its Impact on Word-of-Mouth Marketing”.
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Published on: 23 Jul 2018
Congratulations to Myung-Soo Jo, and Emine Sarigollu, Professors in Marketing, on being awarded the 2018 McGill Sustainability Systems Initiative (MSSI) New Opportunities award “From a Throwaway Society into a Sustainable Society: A Consumer Perspective”.
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Published on: 23 Jul 2018
Congratulations to Myung-Soo Jo, and Emine Sarigollu, Professors in Marketing, on being awarded the 2018 SSHRC Insight Grant “The Demand and Supply Sides of Corruption”.
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Published on: 23 Jul 2018
Authors: Mohammad E. Nikoofal, 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.
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Published on: 23 Jul 2018
Authors: Derek D. Wang, Shanling Li, Toshiyuki Sueyoshi
Publication: Journal of Cleaner Production, Vol. 196, September 2018
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Published on: 23 Jul 2018
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