hero image
Aidin Namin, Ph.D. - Loyola Marymount University. Los Angeles, CA, US

Aidin Namin, Ph.D. Aidin Namin, Ph.D.

Associate Professor of Marketing Analytics, College of Business Administration | Loyola Marymount University

Los Angeles, CA, UNITED STATES

Biography

You can contact Aidin Namin at aidin.namin@lmu.edu.

Aidin Namin is Associate Professor of Marketing Analytics at the College of Business Administration at Loyola Marymount University. A modeler by training and passion, Dr. Namin received his Ph.D. from the University of Texas at Dallas. He received an MBA and a bachelor’s degree in industrial engineering from Sharif University of Technology. Applying quantitative and econometrics techniques, his research interests are marketing and data analytics in the areas of retailing and digital marketing. Dr. Namin has received several grants, research, and teaching awards from different institutions. Some of these awards include LMU Excellence in Research Award; recognition as a Thought Leader in Retailing Research; the Paul R. Lawrence Award from the Case Research Foundation; two Best Paper Awards in Marketing Analytics and Big Data; Research Award from Western Decision Sciences Institute; Outstanding Reviewer recognitions from Journal of Business Research and Journal of Retailing and Consumer Services; and the competitive AMS-AFM research grant. Dr. Namin has also been the recipient of two major teaching awards. A national teaching award (the ACME Teaching Innovation Award) and the Teacher of the Year award from UT Dallas. His research has been published in high quality academic journals including the Journal of Retailing, International Journal of Hospitality Management, Journal of Retailing and Consumer Services, and Journal of Product and Brand Management, among others. He is currently serving on the Editorial Board of Journal of Business Research and Journal of Marketing Analytics. Before starting the PhD program, Dr. Namin worked in the industry as a data analyst and market researcher for some years. On the personal side, Aidin considers himself a family guy. He cares a lot about his family as well as his students. He enjoys traveling and outdoor activities. He also spends a big part of his free time cooking and trying new food recipes found on the Internet!

Education (3)

University of Texas at Dallas: Ph.D., Marketing Analytics

Sharif University of Technology: MBA, Graduate Studies

Sharif University of Technology: B.S., Industrial Engineering

Social

Areas of Expertise (6)

Marketing Analytics

Data Analytics

Modeling

Econometrics

Retailing

Pricing Models

Industry Expertise (2)

Market Research

Research

Accomplishments (19)

ACME Teaching Innovation Award (professional)

2020-03-18

Winner of the Teaching Innovation Award from ACME in 2020. This is a competitive national teaching award for marketing educators.

AMS and AFM Grant Awardee (professional)

2020-04-15

Received a grant from the Academy of Marketing Science (AMS) & Association Française du Marketing (AFM), 2020.

Thought Leader in Retailing Research (professional)

2019-11-01

Recognized as a Thought Leader in Retailing Research by the Retailing Thought Leadership Conference in 2019, sponsored by AMA Retailing and Pricing SIG.

LMU Ascending Scholar Award (professional)

2019-04-29

Recipient of 2019 Ascending Scholar Award for excellence in research at Loyola Marymount University

Best Paper Award for Analytics and Big Data (professional)

2018-11-01

The 2018 Palgrave Macmillan Best Paper Award for Analytics and Big Data from the Journal of Marketing Analytics.

Marketing EDGE Best Paper Winner in Analytics (professional)

2018-10-26

Marketing EDGE Best Paper Winner in Analytics. 2018 Society for Marketing Advances Conference

2018 Paul R. Lawrence Award (professional)

2018-10-20

2018 Paul R. Lawrence Award from the Case Research Foundation. This award is given to only five junior faculty across the globe every year.

Grant (professional)

2018-04-12

LMU Online/Hybrid Course Development

Grant (professional)

2018-06-15

LMU Internal Assessment Summer Grant

Grant (professional)

2018-07-14

LMU Academic Technology Summer Grant

Editorial Board Member (professional)

2018-07-14

Journal of Marketing Analytics

Editorial Board Member (professional)

2018-07-13

Journal of Business Research

Marquis Who's Who biographical listee (professional)

2017-08-01

Through direct invitation from the publisher

Excellence Junior Faculty Fellowship Award (professional)

2016-03-01

Gary Michael Idaho Power award for Established Record of Excellence in Research

Junior Faculty Award (professional)

2016-03-01

Winner at the 2016 Western Decision Sciences Institute Annual Meeting

Foster and Framing Excellence in Teaching Award (professional)

2015-10-10

Invited by the Teaching & Advising Committee at the University of Idaho

Grant for Analytics with Purpose (professional)

2015-10-03

Innovation, Impact and Outreach grant from the College of Business and Economics, University of Idaho

Outstanding Ph.D. Student Teacher of the Year (professional)

2015-05-12

Winner of the Teaching Award at the University of Texas at Dallas for the 2014-2015 academic year

Teaching Award Nominations (professional)

Twice nominated for Teaching Award at the University of Texas at Dallas

Articles (17)

The strategic drivers of drop-shipping and retail store sales for seasonal products

Journal of Retailing

Annibal C. Sodero, Aidin Namin, Dinesh K. Gauri, Sreekumar R. Bhaskaran

2021-09-20

Retailers that sell seasonal products face significant challenges when planning inventory assortment. The incorporation of drop-shipping into their operations, wherein suppliers own and ship products directly to consumers at retailers’ requests, has only complicated these challenges. This study investigates multichannel assortment planning of retailers that sell seasonal products.

view more

Is self-knowledge the ultimate prize? A quantitative analysis of participation choice in online ideation crowdsourcing contests

Journal of Retailing and Consumer Services

Rambod Dargahi, Aidin Namin, Seth C. Ketron, Julian K. Saint Clair

2021-09-13

Online crowdsourcing contests are a nascent but rapidly growing method among marketers and retailers to generate and solicit creative ideas. In two studies – a dynamic model with scraped data from a well-known crowdsourcing platform using Python (study 1) and a survey among real participants in online contests with conjoint analysis (study 2) – we explore how multiple design parameters influence participation in online contests.

view more

Improving Student Presentation Skills Using Asynchronous Video-Based Projects

Journal of Management Education

Aidin Namin, Seth C. Ketron, Velitchka D. Kaltcheva, Robert D. Winsor

2021-01-08

Given the central role that excellent presentation skills plays in management, methods for better developing these skills represent an important area of focus in business education. Rapidly evolving distributed (distance) technologies have compelled businesses to reimagine practices in most areas, and presentations are no exception. In the present study, we examine the potential advantages of video presentations—not from the perspective of the audience, but rather from the perspective of the student as immersed in the process of developing individual presentation skills. We crafted a course project where students collaborate to create a video presentation, replacing a more traditional in-class presentation. To test the effectiveness of this new approach, we conducted a study in which measures from multiple course sections using either the new video creation approach or the traditional presentation approach were compared. For the former, we found a significant improvement in students’ presentation skills on five dimensions (central message, supporting material, language, organization, and delivery) as evaluated with the authoritative Oral Communication VALUE Rubric developed by the Association of American Colleges and Universities. We describe the project and the study, and end the article with lessons learned and recommendations for expanding the project’s applications to other courses.

view more

The Future of Private Labels: Towards a Smart Private Label Strategy

Journal of Retailing

Katrijn Gielens, Yu Ma, Aidin Namin, Raj Sethuram, Ronn J. Smith, Robert C.Bachtel, Suzanne Jervis

2021-01-03

Modern day store brands (SB) or private labels (PL), now also popularly called private brands, are brands generally owned and marketed by retailers. They have been active on the market for about 70 years. Over this time span, these brands have evolved from generic, cheap, low-quality economy or budget private labels to lower-priced-than-national brand but acceptable-quality value or standard private labels. Over time, retailers extended the value proposition to the consumer segment seeking higher quality by offering premium private labels. This strategy, called the tiered-private label, comprises offering economy PL to the price-sensitive but not quality sensitive consumers, standard PL to mainstream consumers seeking acceptable quality at lower prices, and premium PL to the quality-sensitive segment seeking value. Over the last 40 years (1980–2020), these versions of private labels have witnessed substantial growth around the world, though the growth is said to be tapering in recent times.

view more

Improving revenue performance with third-degree price discrimination in the cruise industry

International Journal of Hospitality Management

Aidin Namina, Dinesh K.Gaurib, Robert J.Kwortnikc

2020-08-01

The leisure cruise industry has enjoyed high levels of growth for nearly five decades due in part to traveler interest in the cruise experience, but also to relatively lower pricing. Although revenue management of cruise fares is now standard practice, there are untapped opportunities to improve yields through data-driven market segmentation and third-degree price discrimination. This paper uses a finite mixture modeling approach to develop, empirically validate, and compare pricing models. By unveiling segments of travelers based on individual attributes, third-degree price discrimination can improve target marketing, the timing and appeal of price discounts, and the matching of variable demand with fixed, though differentiated, room supply. Empirical results from running thousands of simulations with pricing data from one of the world’s largest cruise lines show that the segmentation analysis using third-degree price discrimination can increase fare revenue more than four percent. The modeling approach used in this research extends the emerging literature on revenue management in the cruise industry and offers meaningful managerial implications for advanced pricing tactics and revenue management.

view more

Co-production or DIY: an analytical model of consumer choice and social preferences Co-production or DIY: an analytical model of consumer choice and social preferences

Journal of Product & Brand Management

2020-04-20

The purpose of this paper is to demonstrate how consumers choose among three different options offered by a firm in a monopolistic setting, namely, to buy a standard product with a non-customizable design, to ask the firm to customize a product using the consumer’s ideal design or to do the entire design task by themselves. The authors also investigate how social preference intensity and the possibility of reselling a product influence a consumer’s decision.

view more

Making more in crowdsourcing contests: a choice model of idea generation and feedback type

Journal of Marketing Communications

2020-04-02

A crowdsourcing contest is the process of inviting the general public or a targeted group of individuals to submit their ideas or solutions to a specific problem or challenge within a predefined period of time. In this study, utilizing nearly 500 participants, we design and run a field experiment to model two types of feedback: rated and ranked. We also measure the effect of each on the likelihood of revising the generated ideas and their subsequent quality based on novelty, feasibility, and value criteria in a crowdsourcing contest. Our major findings indicate that providing any type of feedback, compared to no feedback, improves the quality of ideas generated.

view more

Dine-in or take-out: Modeling millennials’ cooking motivation and choice

Journal of Retailing and Consumer Services

2020-03-01

Students, in general, get into undesirable eating habits, partly due to the decrease in consumption of unhealthy, prepared food items (e.g., take-out). This research applies a multi-method approach to modeling the motivations behind cooking behavior for this cohort of young-adult consumers. Focus groups are conducted and findings are incorporated into an integrative framework to develop and estimate three quantitative choice models for predicting millennials’ cooking behavior.

view more

Is it Expensive? The Dual Effect of Construal Level on Price Judgments

Journal of Marketing Theory and Practice

2019-07-18

When judging the expensiveness of a product or service, consumers often make comparisons to similar offerings that serve as reference points. Extant pricing literature shows that reference items in the consideration set may trigger a “contrast effect,” where higher-priced items make the target item seem less expensive. Two studies show that the effect of reference price depends on the consumer’s level of abstract thinking—or “construal level” —at the time of judgment. Concrete construal leads to the standard contrast effect, but abstract construal leads to an assimilation effect, where higher-priced reference items make the target seem more expensive.

view more

A “hidden” side of consumer grocery shopping choice

Journal of Retailing and Consumer Services

2019-05-01

This study identifies hidden classes of grocery shoppers and their choice of different items on different days of the week. Following the literature on consumer grocery shopping, three major groups of products are considered: food/drink, cleaning, and personal care. Applying Finite Mixture Modeling to a rich scanner dataset, latent classes of customers and their choice of grocery items on different days of the week are discovered and empirically validated. The model controls for consumer unobserved heterogeneity and demographic characteristics through mixing probabilities. Results uncover latent classes of grocery shoppers and their day of the week shopping day, their sizes, their product choices, mixing probabilities, and demographics. Findings offer retail promotion targeting guidelines for the identified latent classes in the food/drink, cleaning, and personal care groups. Analysis outcome provides marketing and managerial implications in identifying grocery store segments, handling store traffic, managing store promotion and pricing, and improving store layout.

view more

Who searches where? A new car buyer study

Journal of Marketing Analytics

2018-04-16

In this research, we address an important gap in the literature as to the search behavior of new car buyers. While the effect of the Internet on this process is known, the literature still lacks a comprehensive study which (1) concurrently covers time periods before and after the launch of the Internet, and (2) compares trends of consumer search across those combined years. Our unique survey dataset, which spans 22 years and includes consumer search information for new cars from both the pre- and post-Internet eras, enables us to investigate this important gap. Using a latent class model, we classify respondents according to variables that measure consumer search for new automobiles. We unveil changes in characteristics of the six latent segments of car shoppers. Our main findings show that, over the years since the advent of the Internet, the segment of car buyers who mainly search through car dealers/stores has been shrinking drastically. We also find evidence that, over time, the heavy Internet user segment has become less likely to have decided on the manufacturer/dealer prior to searching. Our findings benefit researchers, practitioners, car manufacturers, dealers, and buyers.

view more

Impact of message design on banner advertising involvement and effectiveness: An empirical investigation

Journal of Marketing Communications

2017-10-25

Following past research examining online advertising design and effectiveness, this research studies the impact of variations in the design of online banner advertisements on advertising involvement and effectiveness. Advertisement involvement and effectiveness are measured as response to changes in message design and are determined by the number of clicks on the banner ad (involvement) as well as the click-through rate, or CTR (effectiveness). The latter is the ratio of ad clicks to its total impressions. Related to the message design, the type (static or dynamic), size (pixel ratios), and the format of a banner advertisement are studied employing behavioral response data from a single apparel retailer. Results suggest that the type of banner advertisement significantly influences advertising involvement and effectiveness. Results also suggest that banner ad size in terms of pixel ratios significantly increases advertising involvement through total number of clicks but does not affect effectiveness through CTR. Our findings also identify and empirically validate the important role of the Golden Ratio in banner ad message design and its effectiveness.

view more

An Empirical Analysis of Demand Variations and Markdown Policies for a Fashion Retailer

Journal of Retailing and Consumer Services

2017-09-01

In this paper, using data from a leading specialty apparel retailer, we empirically examine the determinants of a retailer's dynamic pricing policy and investigate consumer response to price changes (markdowns) throughout a fashion product's selling season using a product diffusion setting.

view more

Revisiting Customers' Perception of Service Quality in Fast Food Restaurants

Journal of Retailing and Consumer Services

2017-01-09

This research is an extension to previous work in fast food restaurant marketing. The population of this research consists of actual fast food restaurant customers. Results indicate that there is no direct way of increasing behavioral intentions through improving service quality for fast food restaurants. Rather, behavioral intentions can be improved through customer satisfaction as an intermediary. Further, this work finds evidence that customer satisfaction can be improved through service quality, food quality, and price-value ratio, which in turn would pave an indirect path toward improvement in behavioral intentions in this industry.

view more

Measuring Customer Satisfaction Using SERVQUAL Survey

Management Science Letters

2012-06-04

The focus of this research is on assessing the quality of services of Tehran’s Saman bank and the available gap between customer’s expectation and perception. Also the relationship between customer’s satisfaction and each dimension of service quality (ie: reliability, tangibility, responsiveness, assurance and empathy) and ranking them accordingly, is investigated.

view more

“Improving Revenue Performance with Third-Degree Price Discrimination in the Cruise Industry

International Journal of Hospitality Management (IJHM)

Aidin Namin, Dinesh K.Gauri, Robert J.Kwortnik

2020-06-26

The leisure cruise industry has enjoyed high levels of growth for nearly five decades due in part to traveler interest in the cruise experience, but also to relatively lower pricing. Although revenue management of cruise fares is now standard practice, there are untapped opportunities to improve yields through data-driven market segmentation and third-degree price discrimination. This paper uses a finite mixture modeling approach to develop, empirically validate, and compare pricing models. By unveiling segments of travelers based on individual attributes, third-degree price discrimination can improve target marketing, the timing and appeal of price discounts, and the matching of variable demand with fixed, though differentiated, room supply. Empirical results from running thousands of simulations with pricing data from one of the world’s largest cruise lines show that the segmentation analysis using third-degree price discrimination can increase fare revenue more than four percent. The modeling approach used in this research extends the emerging literature on revenue management in the cruise industry and offers meaningful managerial implications for advanced pricing tactics and revenue management.

view more

The Future of Private Labels: Towards a Smart Private Label Strategy

Journal of Retailing

Katrijn Gielensa, Yu Ma, Aidin Namin, Raj Sethuraman, Ronn J. Smith, Robert C. Bachtel, Suzanne Jervis

2021-01-03

Modern day store brands (SB) or private labels (PL), now also popularly called private brands, are brands generally owned and marketed by retailers. They have been active on the market for about 70 years. Over this time span, these brands have evolved from generic, cheap, low-quality economy or budget private labels to lower-priced-than-national brand but acceptable-quality value or standard private labels. Over time, retailers extended the value proposition to the consumer segment seeking higher quality by offering premium private labels. This strategy, called the tiered-private label, comprises offering economy PL to the price-sensitive but not quality sensitive consumers, standard PL to mainstream consumers seeking acceptable quality at lower prices, and premium PL to the quality-sensitive segment seeking value. Over the last 40 years (1980–2020), these versions of private labels have witnessed substantial growth around the world, though the growth is said to be tapering in recent times. As retailers chart the future strategy for their private labels in 2020 and beyond, a pertinent question they face is: Should they continue to offer value or even tiered PL with the same formula that brought them success in the past, or should they morph and adopt new strategies in keeping with current market trends? We support adopting a new strategy that we call the smart PL strategy. The value PL strategy and its manifestation as the tiered PL strategy cater to different consumer segments but focus primarily on price and quality as attributes of choice. In the current marketplace, consumers care not only about price and quality, but also about sustainability, ethics, social responsibility, image, so forth, perhaps more so than earlier generations. They are also more tech-savvy in using digital tools for search and purchase. Retailers, on their part, are now endowed with rich, extensive data that they can tap into to understand customers’ diverse needs, and they are able to harness technology for developing the right product and communication. Thus, the smart PL strategy is a strategy by which retailers can leverage data and technology to market private labels that meet diverse customer needs and achieve greater retail differentiation, store loyalty, margins, and profits. This thought piece provides a road map for developing such a smart PL strategy and directions for future research.

view more