Seminars

Model Use in Sustainability Negotiations and Decisions

Information Systems and Operations Management

Speaker: Ellen Czaika
Post Doctoral Researcher , Institute for Data, Systems and Society, Massachusetts Institute of Technology (MIT)

1 December 2015 - HEC Paris - Jouy en Josas Campus - Bulding V - Room Bernard Ramanantsoa - From 11:30 am to 12:30 pm


Sustainability negotiations and decisions require the integration of scientific information with stakeholder interests. Mathematical models help elucidate the physical world and therefore may orient the negotiators in a shared understanding of the physical world. Many researchers suggest collaborative modeling to facilitate integrating scientific information and stakeholder interests. In this thesis, I use methods that enable repeated instances of the same decision; the exploration of alternatives to model use (e.g. learning of a model’s logic, relevant information, or irrelevant information); and the exploration of alternatives to collaborative modeling (e.g. using an expert model or not using a model). This thesis comprises two studies that use serious game role-play simulations. The first study is a computer-driven role-play simulation of governmental policy creation and the second is a five-party role-play simulation to negotiate a more sustainable end-of-life for used paper coffee cups. In the first study, model users reached the Pareto Frontier—the set of non-dominated points—more readily (13%) than non-model-users (2.5%) and model users discovered the win-win nature of electricity access with higher frequency (63%) than non-model users (9%). Participants who learned of the model’s logic through presentation performed nearly as well as model users. In the second study, model use shortened the (mean) duration of the negotiation from 55 minutes to 45 minutes. Negotiating tables that co-created a model had a higher likelihood of reaching favorable agreements (44% compared to 25%). Model use did not significantly alter the value distribution among parties. Tables of negotiators used the model in two predominant manners: to test alternatives as they generated potential agreements and to verify a tentative agreement. The former resulted in higher mean table values than the latter. Together, these studies demonstrate: that mathematical models can be used in sustainability negotiations and decisions with good effect; that learning about the insights of a model is beneficial in decision making—but using a model is more beneficial; and that collaborative model building can provide better negotiation outcomes than using an expert model and can be faster than not using a model.

Ethical Hacking & Cyber Security Awareness

Information Systems and Operations Management

Speaker: Mr. Sankarraj Subramanian
renowned international speaker, certified ethical hacker (CEH) & cyber security consultant with 13 years of experience in this field

9 November 2018 - HEC CAMPUS ROOM:T206 - From 10:30 am to 12:30 pm


In the current era of Internet enabled devices progressing towards the world of Internet of Things (IOT), there is a growing threat to the privacy and security of all the Internet users. Moreover, the rapid growth of mobile phone users is augmenting this problem. Given the current scenario of our growing dependence on Internet and mobile phones, there is a pressing need to understand the basics of our online vulnerabilities and cyber security. With this objective in view, this seminar will introduce the audience to:-



· Possible attacks that might happen to mobile devices leading to loss of data and other credentials and how to prevent such a situation.



· Hardware hacking, which explains how electronic devices can be a victim of virus attacks & RAT's; and the countermeasures that can possibly be adopted.



· Email security, with a view to protect emails from malicious hackers.



· Website security, where it is explained how Google can be used to extract information from the databases.



· Data recovery options, which are much needed for all removal storage mediums.



· Mobile tracking, which explains tracing lost mobile phones and the preventive mechanisms that can perhaps be adopted.

Examining the Impact of Ridehailing Services on Public Transit Use

Information Systems and Operations Management

Speaker: Gordon Burtch
Assistant Professor of Information Systems & Decision Sciences (Carlson School of Management - Minnesota University)

6 October 2017 - in Room Bernard Ramanantsoa (Building V) - From 2:00 am to 3:30 am


Abstract:

We examine the impact that ridehailing services (e.g., Uber, Lyft) have had on the use of various modes of public transportation in the United States, via a city-level analysis. We first evaluate these effects by exploiting the temporally and spatially staggered entry of Uber across the United States. Recognizing that the timing and location of Uber’s entry is likely to be endogenous with respect to dynamic variables that reflect a local economic environment, we introduce a novel time-series matching procedure that can deliver plausible identification under a difference-in-differences estimation framework. Subsequently, we re-evaluate the effects by exploiting a natural experiment in which the Google Maps application incorporated Uber and Lyft services into its transit / direction recommendations. Under both identification strategies we find consistent results. Our estimates indicate that ridehailing service entry has lead to significant reductions in the utilization of road-based, short-haul public transit services (e.g., bus), yet increased utilization of rail-based and long-haul transit services (e.g., subway, commuter rail). Finally, we show that resulting cannibalization and complementarity effects are attenuated and amplified, respectively, by transit agencies’ quality of service.

Short Bio:

Gord is an Assistant Professor of Information & Decision Sciences and Jim & Mary Lawrence Fellow at the University of Minnesota's Carlson School of Management, as well as a Consulting Researcher with Microsoft Research NYC. His research, which focuses on the economic evaluation of information systems, employs empirical analyses rooted in econometrics and field experimentation to identify and quantify the drivers of individual participation in online social contexts. His work has been published in a variety of top tier outlets, including Management Science, Information Systems Research, MIS Quarterly. In 2014, Gord won the ISR best paper award, and in 2016 he won the ISR best reviewer award. He holds a PhD from Temple University’s Fox School of Business, as well as Bachelor of Engineering and MBA degrees from McMaster University’s DeGroote School of Business.

Heterogeneity of Reference Effects in the Competitive Newsvendor Problem

Information Systems and Operations Management

Speaker: Anton Ovchinnikov
Associate Professor & Distinguished Professor of Management Science & Operations Management , Smith School of Business, Queen‘s University

24 March 2017 - Room Bernard Ramanantsoa (Building V) - From 11:00 am to 12:30 pm


​This paper examines two recently-proposed reference effect formulations for the newsvendor problem and extends them to a competitive setting. The analysis of the resultant game shows that the heterogeneity of newsvendors’ reference effects can explain multiple regularities observed in recent experimental studies of newsvendor competition. Specifically, the observations that a behavioral newsvendor may effectively ignore the orders of the competitor, receive a significantly smaller profit, and over-order when there is no expected demand overflow can all be attributed to the heterogeneous reference effects in our model’s equilibrium. ​

Improving Environment, Health and Safety in Supply Chains: Some Preliminary Studies

Information Systems and Operations Management

Speaker: Christopher S. Tang
Carter Professor of Business Administration, , UCLA Anderson School

17 March 2017 - Room Bernard Ramanantsoa - From 11:00 am to 12:30 pm


Many factories in developing countries have serious Environment, Health and Safety (EHS) issues. Due to inconsistent law enforcement, limited progress has been made. What can be done? This is an open research topic that operations management and supply chain researchers should explore. I plan to share some of my preliminary studies in this presentation.

Consumer Choice Under Limited Attention and Implications on Firm Decisions

Information Systems and Operations Management

Speaker: Tamer Boyaci
Professor of Management Science, the Michael Diekmann Chair in Management Science, and Director of Research, , ESMT Berlin

3 March 2017 - Room Bernard Ramanantsoa - From 11:00 am to 12:30 pm


Facing an abundance of product choices and related information, but with only limited time and attention to evaluate them, consumers have to come to grips with how much and what type of information to pay attention to (and what to ignore), and make product choice and purchase decisions based on this partial information.
Evidently, it is often times easier to obtain information about some products then others (by the very nature of the product or simply because it is offered in an assortment and readily observable, among other reasons). At the same time there may be similarities (i.e., correlations) among products such that as the customer learns about a particular product, he/she may do so about another one.

Utilizing rational inattention theory, we present a general discrete choice model that describes the choice behavior of customers who optimally acquire information about available options with ex-ante uncertain values through potentially different channels with different costs. Customers trade-off the benefits of better information obtained by asking questions (and receiving informative signals) with the associated cost. We quantify acquired information and its cost through a novel function based on (Shannon) mutual information. Solving the consumer’s choice problem, we analytically characterize the resulting optimal choice behaviour. Some special cases of this model (including the generalized multinomial choice) are analyzed to illustrate key properties.

We then turn our attention to the applications of this choice model to business operations. We study assortment decisions of a seller as well as pricing decisions, demonstrating the implications of salient factors such as limited attention, cost of information, and correlations among products. Finally, we show how limited time and attention shapes the learning behaviour of the seller and its ordering strategies in a newsvendor setting.

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Informations Systems and Operations Management


Campus HEC Paris
1, rue de la Libération
78351 Jouy-en-Josas cedex
France

Featured Faculty  

Laoucine KERBACHE

Information Systems and Operations Management (GREGHEC)

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