Authors: Jorien Pruijssers, Pursey Pmar Heugens and Hans J. Van Oosterhout

Publication: Journal of Business Ethics, Forthcoming

Abstract:

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”.

Authors: Brian Rubineau, Yisook Lim and Michael Neblo

Publication: Social Networks, Vol. 56, January 2019

Abstract:

Authors: Manaf Zargoush, Mehmet Gumus, Vedat Verter, Stella S. Daskalopoulou

Publication: Production and Operations Management, Forthcoming

Abstract:

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.

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.

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”.