The Dynamic Advertising Effect of Collegiate Athletics

I measure the spillover effect of intercollegiate athletics on the quantity and quality of applicants to institutions of higher education in the United States, popularly known as the “Flutie Effect.” I treat athletic success as a stock of goodwill that decays over time, similar to that of advertising. A major challenge is that privacy laws prevent us from observing information about the applicant pool. I overcome this challenge by using order statistic distribution to infer applicant quality from information on enrolled students. Using a flexible random coefficients aggregate discrete choice model—which accommodates heterogeneity in preferences for school quality and athletic success—and an extensive set of school fixed effects to control for unobserved quality in athletics and academics, I estimate the impact of athletic success on applicant quality and quantity. Overall, athletic success has a significant long-term goodwill effect on future applications and quality. However, students with lower than average SAT scores tend to have a stronger preference for athletic success, while students with higher SAT scores have a greater preference for academic quality. Furthermore, the decay rate of athletics goodwill is significant only for students with lower SAT scores, suggesting that the goodwill created by intercollegiate athletics resides more extensively with low-ability students than with their high-ability counterparts. But, surprisingly, athletic success impacts applications even among academically stronger students

The Air War versus The Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections

Firms increasingly use both mass-media advertising and targeted personal selling to successfully promote products and brands in the marketplace. In this study, we jointly examine the effect of mass-media advertising and personal selling in the context of U.S. presidential elections, where the former is referred to as the “air war” and the latter the “ground game.” Specifically, we look at how different types of advertising―candidate own ads vs. outside ads―and personal selling―in the form of utilizing field offices―affect voter preferences. Further, we ask how these various campaign activities affect the outcome of elections through their diverse effects on various types of people. We find that personal selling has a stronger effect among partisan voters, while candidate's own advertising is better received by non-partisans. We also find that personal selling accounted for the Democratic victories in the 2008 and 2012 elections, and that advertising was critical only in a close election, such as the one in 2004. Interestingly, had the Democrats received more outside advertising in 2004, the election would have ended up in a 269-269 tie. Our findings generate insights on how to allocate resources across and within channels

Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity across all segments; (2) overachievement commissions help sustain the high productivity of the best performers even after attaining quotas; and (3) quarterly bonuses help improve performance of the weak performers by serving as pacers to keep the sales force on track to achieve their annual sales quotas. The paper also introduces two main methodological innovations to the marketing literature: First, we implement empirically the method proposed by Arcidiacono and Miller (2011) to accommodate unobserved latent class heterogeneity using a computationally light two-step estimator. Second, we illustrate how discount factors can be estimated in a dynamic structural model using field data through a combination of (1) an exclusions restriction separating current and future payoff and (2) a finite horizon model in which there is no forward looking behavior in the last period

Franchising And The Internet: An Example of Knowledge Mangement in New Zealand Business

“The newest innovations, which we label information technologies, have begun to alter the manner in which we do business and create value, often in ways not readily foreseeable even five years ago.” [1]. The Internet is a technology that has revolutionised business and the manner in which it is conducted. Recent studies suggest that e-commerce will explode to over US$6 trillion in 2 years time. This paper discusses how the Internet can be used in one particular facet of business: franchising. The manner in which services are provided through the use of Internet sites and the strategies by which these can be implemented are covered, examining the different types of sites, and the roles of the franchisor and franchisee in development. The benefits that can be experienced are outlined, and vary from advertising both the franchise concept and the products or services provided, improving communication between parties, and providing the opportunity for collaborative ventures. Up until now the degree to which the Internet has been adopted by Franchises in New Zealand has been limited, with some notable exceptions. However recent surveys reveal that its acceptance is increasing, and that franchise systems recognise that the use of technology poses opportunities in the years to come

Strategic Channel Selection with Online Platforms: An Empirical Analysis of the Daily Deal Industry

The platform—a business model that creates value by connecting groups of users—is increasingly popular in many industries. Extant papers largely assume that platforms dominate the pricing decision, whereas in practice, prices in business-to-business transactions are often determined by a bargaining process. We study how the relative bargaining power of business partners affects pricing and competition in a two-sided market. We compile a unique and comprehensive dataset using sales data from the US daily deal market and specify a structural model based on Nash bargaining solutions. We find that Groupon, the larger deal platform, has more price-bargaining power than LivingSocial and that larger and chain merchants have more bargaining power than smaller and independent merchants. The difference in bargaining power between different types of merchant, interestingly, is more substantial on LivingSocial than on Groupon. Therefore, the size of a platform has two faces: while a larger customer base helps attract merchants, the platform’s bargaining power may motivate some merchants to work with its smaller competitors, over which they have more influence on price setting. Our counterfactual results show that the allocation of price-bargaining power plays an important role in the daily deal markets and that merchants are significantly worse off if platforms have higher price-bargaining power during the negotiation. Furthermore, as it increases the bargaining power, LivingSocial would be able to boost its profits but lose its attraction in acquiring merchants

The Effects of Quota Frequency on Sales Force Performance: Evidence from a Field Experiment

We collaborate with a Swedish retail chain to conduct a field experiment in which we change the sales force compensation scheme from a monthly to a daily quota plan. This intervention, along with a control group that did not encounter a change in compensation structure, allows us to analyze the effect of quota frequency on sales force performance. Over a given time frame (i.e., a month), we find that shifting to a temporally more frequent quota plan—the daily quota plan as compared to the monthly quota plan—leads to an increase in sales performance, mainly for low-performing salespeople, by preventing them from giving up in the latter days of a month. However, we find high-performing salespeople to give up more frequently in earlier days of a month under the daily quota plan. With more frequent quotas, salespeople sell more quantities of low-ticket items, which benefit the firm through a decrease in returned merchandise. However, with quotas set over shorter time horizons, even the highest-performing salespeople focus mainly on incremental sales, resulting in a decrease in sales of higher-value-added and higher-margin products, thereby hurting firm profits

Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited

We estimate a sales response model to evaluate the short- and long-term value of pharmaceutical sales representatives’ detailing visits to physicians of different types. By understanding the dynamic effect of sales calls across heterogeneous doctors, we provide guidance on the design of optimal call patterns for route sales. Our analyses reveal that the long-term persistence effect of detailing is more pronounced for specialist physicians; the contemporaneous marginal effect is higher for generalists. Free samples have little effect on any type of physician. We also introduce a key methodological innovation to the marketing and economics literatures. We show that moment conditions—typically used in traditional dynamic panel data methods—are vulnerable to serial correlation in the error structure. However, traditional tests to detect serial correlation have weak power and can be misleading, resulting in misuse of moment conditions and incorrect inference. We present an appropriate set of moment conditions to properly address serially correlated errors in analyzing dynamic panel data

Test Targets 6.0: A Collaborative effort exploring the use of scientific methods for color imaging and process control

Test Targets is a collection of scholarly papers contributed by faculty, students, and alumni of Rochester Institute of Technology. We realize the importance of having faculty set examples as authors for students to follow. We have a three-course sequence over a time span of a year to prepare students to publish their first articles when completing Tone and Color Analysis, Printing Process Control, and Advanced Color Management. In this instance, Test Targets 6.0 is a part of the course content in the Advanced Color Management course