Ravindra Mantena

Ravindra Mantena

Ravindra Mantena

Clinical Professor
Area(s) of Expertise
Computers and Information Systems
Bio

Professor Mantena currently serves as the Faculty Director for the MBA programs at Simon. In this role, he oversees Simon's Full-time, Professional, and Executive MBA programs. He teaches various analytics and digital strategy courses in these programs. His research interests are in the economics of digital and information-rich products. Prior to his academic career, Mantena worked as a sales manager for a consumer goods multinational firm and founded an aquaculture company in India.

Courses
Data Analytics
Business Modeling
Introduction to Business Analytics
Managerial Data Analysis
Managerial Decision Analysis
Managing Digital Products & Platforms
Probability & Descriptive Analytics
Research Interests
His research explores how the increasing digitization of products and services alters competition, strategy and market structure. He studies issues of pricing, product design and strategy for digital products and services. In addition, he also has research interests in measuring decision performance, revenue management and information economics.
Teaching Interests

Quantitative Modeling, Business Analytics, Management of Information Technology and Digital Product Strategy

Publications
Impact of Product and Platform Level Sampling on the Sale of Online Video Courses
Market Share Contracts in B2B Procurement Settings with Heterogeneous User Preferences
2021
Production and Operations Management, 31(3), 2022, 1290-1308
Issue
3
Volume
31
Reflections on Teaching Online
Reflections on Teaching Online
SSRN
Leadership Training In An MBA Program Using Peer-led Team Learning
2013
American Journal of Business Education (AJBE)
Issue
2
Volume
6
Co-opetition Between Differentiated Platforms in Two-Sided Markets
2012
Journal of Management Information Systems
Issue
2
Volume
29
Literature survey: Mathematical models in the analysis of durable goods with emphasis on information systems and operations management issues
2012
Decision Support Systems
Issue
2
Volume
53
Competition and Strategic Partnership between Intermediary Platforms in the Presence of Heterogeneous Technologies
2012
Institute of Electrical and Electronics Engineers (IEEE)
Literature Survey: Mathematical Models in the Analysis of Durable Goods with Applications to IS Research
2011
Institute of Electrical and Electronics Engineers (IEEE)
Platform-based information goods: The economics of exclusivity
2010
Decision Support Systems
Issue
1
Volume
50
CIST 2009: Conference on Information Systems and Technology
2009
Diagnosing decision quality
2008
Decision Support Systems
Issue
1
Volume
45
Exclusive Licensing in the Video Gaming Industry
2007
CONVERGING DIGITAL TECHNOLOGIES: AN OPPORTUNITY OR A THREAT?
2002
AMCIS 2002 Proceedings
Market Expansion or Margin Erosion: The Double-Edged Sword of Digital Convergence
2002
ICIS 2002 Proceedings
On technology markets that tip: Increasing returns, competition, and discontinuous shifts in consumer valuation
1999
3-333C Carol Simon Hall
585.275.1079

Mitchell Lovett

Mitchell Lovett

Mitchell Lovett

Sr Assoc Dean, Education & Innovation
Benjamin Forman Professor of Marketing
Area(s) of Expertise
Marketing
Bio

Professor Lovett is the Senior Associate Dean of Education and Innovation. He is also a leading scholar and teacher as the Benjamin Forman Professor of Marketing. He joined the Simon Business School in 2008 after earning his PhD in marketing from Duke University. In his administrative role, he has been instrumental in launching the AI Initiative, a cross-disciplinary effort to integrate AI into Simon’s business education. He also helped to develop the Online Masters in Business Analytics and Applied AI, a cutting-edge program that prepares students for the rapidly evolving data and AI-driven economy. His research interests span a wide range of topics in marketing, such as advertising, branding, word-of-mouth, political marketing, consumer and firm learning, retailing, and conjoint analysis. He applies and develops empirical methods to study marketing phenomena and to inform marketing decisions. His research has been published in top journals and garnered recognitions such as the Marketing Science Institute's Young Scholars and Scholars distinctions, and the William F. O'Dell award finalist for long-term impact. His research has also attracted national media attention, and he has been cited in outlets such as the New York Times, Forbes, and Ad Age. He is frequently invited to speak at academic and industry conferences and events. He also advises PhD students and is an award-winning teacher including courses on marketing research, marketing strategy, analytics design and applications, advertising strategy, consumer behavior, and PhD seminars in quantitative marketing.

Courses
Advanced Marketing Strategy
Core Research Topics In Quantitative Marketing
Analytics Design & Application
Research Interests

Professor Lovett's research interests include quantitative marketing, retail strategy, targeted advertising, advertising content and schedule choices, online and offline word-of-mouth, branding, social media listening, and consumer learning. One stream of Professor Lovett's research focuses on applying and developing empirical methods for political marketing. Current projects in this stream study the dynamics behind why candidates go negative in their political advertising, how candidates can improve their targeting of political ads, and the role of advertising versus social media in influencing voter sentiment. A second stream of research examines entertainment products and how consumers learn about them as they decide whether to continue engaging. Another current stream of research examines how advertising and brand characteristics influence word-of-mouth online and offline and how these two channels differ. Professor Lovett's research has been published in Marketing Science and the Journal of Marketing Research, received research grants and awards, including the from Marketing Science Institute Institute for the Study of Business Markets’ Research Grant Silver Medalist Award, and garnered national media attention in relevant publications such as Ad Age and Marketing News.

Teaching Interests

Professor Lovett has taught Advanced Marketing Strategy, Marketing Research, Marketing Strategy, Advertising Strategy, Consumer Behavior, and PhD Seminars in Quantitative Marketing.

Publications
Learning to set prices
2022
Journal of Marketing Research
Issue
2
Volume
59
Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections
2021
Management Science
Empirical Research on Political Marketing: A Selected Review
2019
Consumer Needs and Solutions
Issue
3
Volume
6
Can Your Advertising Really Buy Earned Impressions? The Effect of Brand Advertising on Word of Mouth
2019
Quantitative Marketing and Economics / Springer
Issue
3
Volume
17
Product Launches with New Attributes: A Conjoint-Consumer Panel Technique for Estimating Demand
2019
Journal of Marketing Research
Issue
5
Volume
56
Mobile Diaries Benchmark Against Metered Measurements: An Empirical Investigation
2018
International Journal of Research in Marketing
Issue
2
Volume
35
The Role of Paid, Earned, and Owned Media in Building Entertainment Brands: Reminding, Informing, and Enhancing Enjoyment
2016
Marketing Science
Issue
1
Volume
35
Targeting Political Advertising on Television
2015
Quarterly Journal of Political Science
Issue
3
Volume
10
A Dataset on Brands and their Characteristics
2014
Marketing Science
Issue
4
Volume
33
On Brands and Word of Mouth
2013
The Journal of Marketing Research
Issue
August
Volume
50
Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract A Desirable Mix of Customers
2012
Marketing Science
Issue
4
Volume
31
Marketing and Politics: Models, Behavior and Policy Implications
2012
Marketing Letters
Issue
2
Volume
23
Seeds of Negativity: Knowledge and Money
2011
Marketing Science
Issue
3
Volume
30
3-208 Carol Simon Hall
585.276.4020

Daniel Keating

Daniel Keating

Daniel Keating

Clinical Assistant Professor
Area(s) of Expertise
General Business Administration
Bio

Dan Keating is a Clinical Assistant Professor and Faculty Director of Academic Support. He teaches courses in analytics, general business, communication, and applied AI in the MBA, Masters, and Undergraduate programs. Teaching is a mid-life career change for Dan: he had a 25+ year career in regional and global Technology organizations such as Oracle, Qlik, and smaller marketing and analytics firms. His clients included Apple, SAP, Dell, Abbott Labs, Merck, JP Morgan Chase, and others. In addition to teaching, Dan leads the Instructional Technology and Innovation (ITI) team at Simon Business School, which works with faculty to implement innovative instructional technologies to drive pedagogical success for all students. His teaching is highly rated by students, receiving multiple teaching awards. He has deep experience serving on community and commercial boards and as an elected official in his town.

Courses
Business Modeling with Excel
Financial Statement Analysis-Lab
New Product Strategy
Supervised Teaching CIS 211
Data-Driven Decision Making
Professional Communication
Teaching Interests

Analytics in Excel. Managerial Communications. Analytics Design. Product Management. Marketing. Technology.

3-160 F Carol Simon Hall
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