Room 1: Big Data / Machine Learning

Drowning in Metrics: How Managers Select and Trade-off Metrics for Making Marketing Budgetary Decisions, Ofer Mintz, University of Technology Sydney
“Analytics can be broken down as models and metrics. While most focus in marketing literature on models, metric use is crucial for marketing decision-making.”

Room 2: Pricing

Price Dynamics on Amazon Marketplace: A Multivariate Random Forest Variable Selection Approach, Sharmistha Sikdar, Dartmouth College, Tuck School of Business
“Business press reports Amazon’s usage of sophisticated pricing algorithms which has caused fierce competition between Amazon and 3P sellers.”

Room 3: Text Mining

A Linguistic Analysis of Forward-looking Firm Vocabulary, its Effect on Marketing Intent and on Market Responses, Sudhir Voleti, Indian School of Business (ISB)
“Firms' (specifically, their senior managements) develop worldviews based on how they interpret changing market environments matched to internal firm capabilities.”

Room 4: Location / Motion Analytics

Exercising Self-Control Through Self-Reward, Ran Kivetz, Columbia Business School
“Customary approach in economics & industry is to leverage primarily financial or monetary incentives to promote desired outcomes in a range of consequential domains, including health, education, labor, & prosocial behaviors.”

Room 1: Big Data / Machine Learning

SKU outlier identification and prediction using supervised machine learning, Martin Hirche, University of Melbourne
“The relationship between distribution and market share consistently appears as a convex and increasing curve, where brands exponentially obtain higher market share with higher distribution.”

Room 2: Price and Product Dynamics

How Complementarity affects Volatility in a Retail Product Network, Jack Cadeaux, UNSW

Room 3: Text Mining

Extracting and analyzing psychological constructs from text data: The example of gender prejudice across languages, David DeFranza, The University of Utah
“Understanding the nature and distribution of prejudicial bias in language can help inform more equitable marketing systems and interventions to reduce prejudice against women.”

Room 4: Location / Motion Analytics

Perils of Location Tracking? Personalized and Interpretable Privacy Preservation…, Natasha Foutz, University of Virginia
“Data collectors need techniques to preserve consumer privacy and advertiser utility before sharing location data with advertisers and facilitate advertisers to become butlers when using data.”

Room 1: Big Data / Machine Learning

From RFM to LSTM: Predicting customer future with autoregressive neural nets, Thomas Reutterer, WU Vienna University of Economics and Business

Room 2: Price and Product Dynamics

What's Shared on the Web May Affect Product Prices-Evidence…, Tarique Hossain, California State Polytechnic University
“Information gleaned from buyers’ online activity helps sellers adjust price (e.g., dynamic pricing by Amazon.com).”

Room 3: Text Mining

Agent Based Models: Developing Flight Simulators for Researchers and Managers, Ian Wilkinson, University of Sydney
“Despite the availability of rich textual information in the online product reviews, the content of these reviews has not been fully utilized to predict the rating of the products and consumer purchase behaviour.”

Room 4: Location / Motion Analytics

On-the-way choice of convenience outlet, Harmen Oppewal, Monash University

Room 2: Price, Promotion and Demand

An Empirical Analysis of Interstore Promotional Elasticity in the US Supermarket Industry, Yuqing Ma, Monash University
“The study investigates the issue of interstore promotional effects on sales in the context of the US supermarket industry. US supermarkets are ​involved in the never-ending promotional environment in the industry as a result of the emergence of alternatives to retail stores.”

Room 3: Image Mining

Brand Image Mining: A Solution for Brand Logo Detection…, Amos Schikowsky, University of Hamburg
“While the number and importance of brand logos in UCG grows, this trend leads to a loss of control over brand impressions for marketeers and a need for logo detection.”

Room 2: Price, Promotion and Demand

Dissecting Organic Growth: Category Growth vs. Market Share, Arry Tanusondjaja, University of South Australia, EhrenbergBass Institute for Marketing Science

Room 3: Image Mining

Is Centre the Best Location? An Eye-Tracking Study of Text Message Location…, Junbum Kwon, University of New South Wales
“Text messages in print or video ads are essential for ad persuasion as they are the Brand Differentiating Messages. Ad actioners seems to believe that “centre” is always the best place for text messages.”

Room 2: Price, Promotion and Demand

Mood and Consumption Choices: Evidence from Sunshine Data, Andre Bonfrer, Deakin University
“There is a lack of large-scale empirical evidence on the role that transient consumer sentiment has on consumer spending habits”

Room 3: Image Mining

Using Image and Text Mining to Investigate Consumer Engagement…, Iman Ahmadi, The University of Warwick
“More than 1/3 of the world population is active on Facebook and Twitter alone. Firms are interested in this consumer engagement as it enhances consumer satisfaction and loyalty and improves word-of-mouth and sales figures.”

Room 1: Customer Loyalty Analytics

The Impact of Coalition LP Evolution on Member Purchase…, Wayne Taylor, Southern Methodist University
“Coalition loyalty programs offer incentives to members at multiple businesses (coalition “partners”).”

Room 2: Service Failure

Managing crisis: slicing vs chunking negative news announcements, Ljubomir Pupovac, University of New South Wales
“What drives firms to either make one large recall announcement (chunking) or to make recall announcements piece by piece (slicing)?”

Room 3: Branding and Advertising

Be Typical, But Typical of What? The Role of Sport Event Typicality…, Francois Carrillat, University Technology Sydney
“Marketers are increasingly concerned about the effectiveness of advertisements because consumers’ exposure times to advertising messages is decreasing due to a faster paced lifestyle and a greater competition for their attention.”

Room 1: Customer Loyalty Analytics / Segmentation

Customer Relationship Management through Goal Setting Features…, Andre Bonfrer, Deakin University
“Use of synthetic control methods to compare outcomes (savings, churn, etc) of customers who set a goal against the outcomes of an artificial (control) consumer being a weighted average of customers who did not set goals.”

Room 2: Service Failure

Service Failure in the Public Transportation Industry: Modeling its Impact on Sales, Marc Fischer, University of Cologne/UTS
“Railway is faced with numerous individual service failures perceived by passengers. For efficient resource allocation, knowledge of sales impact of failures are necessary.”

Room 3: Branding and Advertising

Branded mobile apps, Lara Stocchi, Flinders University
“Effective ‘pull’ advertising medium1, which has transformed the way firms communicate to consumers increasing familiarity and accessibility of brands by prompting context-dependent brand recall on a frequent basis.”

Room 1: Customer Loyalty Analytics

Market segmentation by exploiting individual-level parameters: A comparison between mixed logit and latent class logit models, Nelyda Campos-Requena, Macquarie University, Australia / Universidad del Desarrollo, Chile / Universidad Católica de la Santísima Concepción, Chile
“We aim to compare the market segment predictions from both the MLM and LC to analyze consumers’ preference heterogeneity by exploiting these individual-level parameters

Room 2: Service Failure

The Long-term Effect of Frequent Product Recalls on the Recalling Firm's Reputation, Sajeev Varki, University of South Florida
“Firms frequently recall their products. Consumers might be insensitive to frequent product recalls. On the other hand, consumers might be more disappointed with frequent product recalls. The answer to the research problem above is unclear.”

Room 3: Branding and Advertising

Attributing Store Traffic to Advertising: The Case of Home Improvement…, Bhoomija Ranjan, Monash University
“Is advertising effective in driving store traffic? How do individual characteristics such as distance-to-store, demographics affect response to own & rival-brand advertising?”

Room 1: Access-Based Consumption

Content Monetization and Preview Design, Dai Yao, National University of Singapore
“How pay-what-you-want affects content generation and preview design is an urgent question, but neither academics nor practitioners have an answer yet.”

Room 2: Social Marketing/Market Segmentation

Absence Versus Presence-Focused GMO Labeling: Impact on Consumer Choice…, Youngju Kim, Neoma Business School
“Recently, the United States Drug Association made a ruling on GMO labelling that presents theoretically interesting research questions pertaining to the impact of GMO labelling on consumer choice.”

Room 3: Natural Experiments

The Impact of a Mobile Payment App: A Natural Experiment, Steven Lu, The University of Sydney “Does mobile payment improve firms’ performance by boosting the sales or simple replace other payment methods? Does it vary across products and geographical areas? How does it influence impulse purchases?”

Agent Based Models: Developing Flight Simulators for Researchers and Managers, Ian Wilkinson, University of Sydney
“ABM is a new methodology for understanding modelling and managing business systems.”

Room 1: Access-Based Consumption

Is Streaming Killing the Superstar?, Christian Hotz-Behofsits, Vienna University of Economics and Business
“Over the last years, the total number of streams of the world’s biggest artists declined significantly.”

Room 2: Social Marketing/Market Segmentation

Marketing Segmentation Process of Sports Spectator using Post-Hoc Approach, Tatsuru Nishio, Yamaguchi University
“The aim of this study is to show the marketing segmentation process with regard to sports spectators by using the spectator data of sports events.”

Room 3: Natural Experiments

Life Shocks: The Effects on Food Baskets, Fatima Madani, Monash University
“Lack of comprehensive study on the impact of life events, i.e. period of stability Vs. period of instability.”

Room 1: Access-Based Consumption

Up Next: How Playlists Affect Music Consumption…, Nils Wloemert, Vienna University of Economics and Business
“Music consumption is shifting from ownership-based business models (e.g., CDs, downloads) to access-based business models (e.g., streaming services like Spotify).”

Room 2: Social Marketing/Market Segmentation

Market Expansion While Balancing Social and Financial Objectives…, Jarrod Vassallo, The University of Sydney, Professor Ahmed Khwaja, The University of Cambridge; and Professor Jaideep Prabhu, The University of Cambridge
“This paper analyses the targeting, entry and expansion decisions of social enterprises while balancing their dual social and financial objectives in an emerging market high risk and low-resource context.”

Room 3: Natural Experiments

A Theory of Negativity Bias, Jihwan Moon, University of New South Wales (TBC)
“This paper provides a rational model for the negativity bias in a general context and proves the universality of the negativity bias.”