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INFORMS Nashville – 2016
443
2 - Pricing Strategies For Sustainable Green Marketing
Thunyarat Bam Amornpetchkul, Faculty member, NIDA Business
School, Bangkok, Thailand,
thunyarat.a@nida.ac.thThis study investigates the potential of using pricing strategies to improve the
sustainability of businesses, environments, and the society. Different scenarios, in
terms of manufacturer’s cost structure and customer valuation of the green
product, are analyzed. Under each scenario, we propose an optimal pricing
strategy which could bring about a larger profit to the manufacturer as well as
reduced consumption of the non-green product. Based on the findings, we
suggest measures to help create a market situation where green products are
likely to thrive.
3 - Driving Organic Revenue Growth With Ancillaries
Dan Iliescu, Revenue Analytics,
diliescu@revenueanalytics.comThe application of Pricing and Revenue Management principles beyond
traditional revenue streams are generating organic revenue growth opportunities
for companies. Among recent developments in this area, analytical solutions that
incorporate ancillary offerings were first introduced in industries such as airlines,
travel and hospitality, and car rental. This presentation focuses on presenting a
high level overview of key design considerations while implementing Ancillary
Pricing and Revenue Management solutions. In addition, this presentation outlies
practical examples of successful applications, while uncovering and identifying
opportunities for future research.
WC48
210-MCC
Intelligent Applications in Social Media Analytics
Invited: Social Media Analytics
Invited Session
Chair: Victor Benjamin, University of Arizona, 1130 E Helen St, Tucson,
AZ, 85719, United States,
vabenji@email.arizona.edu1 - Is Weight Loss Social Contagious?
Chunxiao Li, Arizona State University,
chunxiaoli@asu.edu,
Bin Gu
The recent IT innovation invokes the emergence of weight intervention mobile
apps, in which massive users share their weight loss achievements to their peers.
Except for monetary incentive, the social networking may provide extra incentive
for weight loss behavior, and therefore results in better outcomes. This paper
studies how users’ weight loss behavior can be affected by both monetary reward
and behavior of their followees, controlling for personal characteristics and
experience with the app. Moreover, we examine the interplay between the two
incentives. We suggest that app designers should better use social contagion
together with monetary incentive to motivate health related behavior.
2 - A Sentiment Breakdown Approach For Dissecting The Dna Of
Medical Social Media Posts
Anwar Chutoo, University of Utah,
anwar.chutoo@utah.edu,
Olivia R Liu Sheng
Many medical social forums allow a user to rate their experience with a drug
according to different criteria. While these ratings have high correlations, we
propose to dissect differences between them according to the sentiments in
different types of sentences within the post. We test a series of hypotheses
regarding the relationships between sentiments of different types of sentences and
ratings. We also demonstrate that the texts in user reviews can successfully
explain the variations between the ratings. We introduce a novel method to
describe qualitative aspects of drugs using texts from user reviews and sentiments
rather than ratings.
3 - Understanding Malicious Tools In Underground
Hacker Communities
Sagar Samtani, University of Arizona,
sagars@email.arizona.eduAs many modern facilities are becoming reliant upon computing technology,
cybersecurity is becoming a societal concern. Many cyber-attacks are executed
using tools like Zeus Trojans or Point of Sale Malware. These tools, also known as
hacker assets, are often accessible in online, hacker forums. However, collecting
and analyzing such tools is a non-trivial task. This study demonstrates a web,
data, and text mining framework leveraging techniques such as SVM, LDA, and
social network analysis to analyze and identify hacker assets and key hackers in
underground hacker forums. The results of this study indicate that emerging
forum assets are consistent with root causes of recent cyber-attacks.
WC49
211-MCC
Teaching Analytics
Sponsored: Education (INFORMED)
Sponsored Session
Chair: Thomas G Groleau, Carthage College, Kenosha, WI,
United States,
tgroleau@carthage.edu1 - Topics And Goals For An Introductory Business Intelligence
Course Offered To Business Majors
Wendy Swenson-Roth, Georgia State University,
wroth@gsu.eduAnalytics skills are in demand by business. Business schools are seeking to
provide classes to address this need. In an introductory course for business
students, what topics need to be covered to provide a foundation in this field.
Also, what methods can be used to improve student understanding.
2 - Back To Basics: Framing The Foundations Of Analytics
Patrick S. Noonan, Goizueta Business School, Emory University,
Atlanta, GA, United States,
patrick.noonan@emory.eduAnalytics represents substantial new opportunities for INFORMS researchers &
educators. The good news: “Analytics” remains hot. The bad news: Few people
can explain exactly what it is. The worse news: Opinions vary widely, so the word
is becoming meaningless mush. By asserting a better framework for “analytics,”
INFORMS educators can create wins all around: sharpening the definition for
researchers and practitioners; increasing the impact of our courses on student
understanding, skill, and ability to apply to real problems; and heightening
visibility for our fields in the analytics boom. The keys to coherent integration of
the modeling & data science worlds: decision-making & decision analysis.
3 - Alternate Framework For Analytics Education
Thomas G Groleau, Carthage College,
tgroleau@carthage.eduThe Descriptive, Predictive, and Prescriptive Analytics framework for analytics has
become widely accepted. At the same time, the terms “analytics” and “data
analytics” are often used interchangeably and students can get the impression
that all analytics is based on data. For educational purposes, we should consider
an alternate framework that simply distinguishes between data based and model
based analytics so that students get a more accurate view of the field.
WC51
213-MCC
Education II
Contributed Session
Chair: Narasimhan Ravichandran, Indian Institute of Management-
Ahmadabad, Wing 2 D, Vastrapur, Ahmedabad, 380015, India,
nravi@iimahd.ernet.in1 - Tailgating Games As Teaching Tools
Matthew Bailey, Associate Professor, Bucknell University, School
of Management, Taylor Hall, Lewisburg, PA, 17837, United States,
matt.bailey@bucknell.eduMany students are familiar (some too much so) with common tailgating and
backyard games such as cornhole and ladderball. I will present an activity to
exploit this experience and solidify student understanding of data collection and
analysis, modeling, and Monte Carlo simulation. This activity is sufficiently
flexible and scalable to be used as a single project or as a set of small scaffolding
activities culminating in a comprehensive project. The presenter will share his
experience with this activity in an undergraduate business analytics course with
associated student feedback.
2 - Understanding The Impact Of In-class Undergraduate Research
In Engineering Education For Non-traditional Students:
An Adaptive Guide
Justin Yates, Assistant Professor, Francis Marion University, PO
Box 100547, Florence, SC, 29501, United States,
jyates@fmarion.edu, Lorna Cintron-Gonzalez, Rahul Renu
Engineering students with non-traditional backgrounds face significant challenges
during their early years in engineering. This talk discusses the adaptation of
Freshman-Sophomore curriculum to include early and frequent exposure to
research-based course assignments and examines the impact of these practices on
student efficacy and academic performance. The model used is adapted from
colleagues in Sociology who have implemented such practices for 14 years in a
rural, public university in South Carolina and consistently see 30% or higher
graduate school enrollment within their Senior class.
WC51