Papers by Edward Malthouse
Frontiers in neuroscience, 2017
Musical preference is highly individualized and is an area of active study to develop methods for... more Musical preference is highly individualized and is an area of active study to develop methods for its quantification. Recently, preference-based behavior, associated with activity in brain reward circuitry, has been shown to follow lawful, quantifiable patterns, despite broad variation across individuals. These patterns, observed using a keypress paradigm with visual stimuli, form the basis for relative preference theory (RPT). Here, we sought to determine if such patterns extend to non-visual domains (i.e., audition) and dynamic stimuli, potentially providing a method to supplement psychometric, physiological, and neuroimaging approaches to preference quantification. For this study, we adapted our keypress paradigm to two sets of stimuli consisting of seventeenth to twenty-first century western art music (Classical) and twentieth to twenty-first century jazz and popular music (Popular). We studied a pilot sample and then a separate primary experimental sample with this paradigm, an...
... INSEAD Edward Malthouse, Northwestern Univ., Medill Scott Maxwell, University of Notre Dame, ... more ... INSEAD Edward Malthouse, Northwestern Univ., Medill Scott Maxwell, University of Notre Dame, Psych Roderick McDonald, University of Illinois, Psych Robert Meyer, University of Pennsylvania Joan Meyers-Levy, University of Minnesota Ramya Neelamegham, University of ...
Journal of Consumer Marketing, 2016
ABSTRACT PURPOSE Medical imaging equipment and software are increasingly expensive, and drive up ... more ABSTRACT PURPOSE Medical imaging equipment and software are increasingly expensive, and drive up healthcare costs in the U.S. and across the world. Access to this technology is cost-prohibitive for medical facilities located in resource-poor regions. Online reverse auctions have proven to reduce the overall cost of purchased goods and services in several industries. An online reverse auction procurement tool provides nongovernmental organizations (NGO) afford to buy medical imaging technology. This international study was performed to predict the likelihood of radiologists and other healthcare decision makers to use an online reverse auction procurement tool. METHOD AND MATERIALS 8,000 radiology professionals (radiologists, hospital administrators, residents, technologists, etc), registered users of a radiology social media site, were asked to voluntarily participate in an online survey. The survey had 7 questions on challenges and opportunities in the medical imaging technology procurement process. We evaluated results by analysis of variance (ANOVA) technique. RESULTS Of 212 respondents, 69% were 'likely,' 'very likely' or 'somewhat likely' to influence purchasing decisions. Of those, 48.5% influence 'equipment specifications,' 19.6% influence 'budget,' and 13.1% influence 'purchasing timing.' 42.4% said they would 'consider purchasing' or 'might consider purchasing equipment' on an online competitive bidding service. 79.3% considered a discount (price) 'very important,' 'important' or 'somewhat important.' ANOVA revealed our key finding: as influence on a purchasing decision increases, the intent to use online competitive bidding service increases. CONCLUSION These data demonstrate a strong likelihood that a significant percentage of purchasing decision makers would use a new online procurement tool concept, using reverse auctions, because it reduces the overall cost of radiological technology. CLINICAL RELEVANCE/APPLICATION The online reverse auction allows medical facilities in resource-poor regions to acquire advanced technology, enabling the physicians at those sites to deliver a higher level of care to patients.
Journal of Consumer Marketing, 2016
Our purpose is to assess how the study of consumer behavior can benefit from the presence of Big ... more Our purpose is to assess how the study of consumer behavior can benefit from the presence of Big Data. We offer a conceptual overview of potential opportunities and changes to the study of consumer behavior that Big Data will likely bring. Big Data have the potential to further our understanding of each stage in the consumer decision-making process. While the field has traditionally moved forward using a priori theory followed by experimentation, it now seems that the nature of the feedback loop between theory and results may shift under the weight of Big Data. A new data culture is now represented in marketing practice. The new group advocates inductive data mining and A/B testing rather than human intuition harnessed for deduction. The group brings with it interest in numerous secondary data sources. However, Big Data may be limited by poor quality, unrepresentativeness and volatility, among other problems. Managers who need to understand consumer behavior will need a work force with different skill sets than in the past, such as Big Data consumer analytics.
We're working on several projects around online customer reviews. Happy to share working papers.
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Journal of Relationship Marketing, Sep 25, 2008
CITATIONS 11 READS 18 2 authors, including: Some of the authors of this publication are also work... more CITATIONS 11 READS 18 2 authors, including: Some of the authors of this publication are also working on these related projects:
Http Dx Doi Org 10 1080 08838151 2010 519808, Nov 30, 2010
CITATIONS 113 READS 33 2 authors, including: Some of the authors of this publication are also wor... more CITATIONS 113 READS 33 2 authors, including: Some of the authors of this publication are also working on these related projects:
CITATIONS 9 READS 138 3 authors, including:
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Papers by Edward Malthouse