Category: Academic Programs
PayScale’s 2014-2015 College Salary Report, which ranks colleges and universities on alumni post-grad earnings, has placed Boston University School of Management 30th on its list of the best graduate business schools.
According to PayScale, alumni of the School’s MBA program pull in $81,900 as an early career salary, and rise to a mid-career salary of $132,900.
This is the first time PayScale has included graduate schools in its College Salary Report, and published its rankings of hundreds of graduate programs based on alumni salaries in four degree categories: JD, master’s, MBAs, and PhD.
All data used to produce the 2014-2015 College Salary Report were collected from employees who successfully completed PayScale’s salary survey (roughly 1.4 million over the last year). Self-employed, project-based, and contract employees are not included.
Creator of the largest database of individual compensation profiles in the world containing more than 40 million salary profiles, PayScale, Inc. provides an immediate and precise snapshot of current market salaries to employees and employers through its online tools and software.
See the full list of the best graduate business schools here.
The 2014 Financial Times ranking of executive MBA programs around the world has placed Boston University School of Management 1st in New England, and 27th among US-based EMBA programs.
Globally, BU’s Executive MBA program was ranked 69th, up 12 places from the 2013 ranking. In addition, the BU EMBA continues to select a remarkably experienced class, ranking 3rd in work experience among US-based programs and 23rd overall.
Data from alumni questionnaires (including areas such as “salary today” and “aims achieved”) accounts for 55 percent of the ranking’s weight. These criteria include data collated by Financial Times over the past three years, where available. Data supplied by the school accounts for 35 percent, and faculty research published in particular leading journals accounts for the final 10 percent.
“The BU Executive MBA draws exceptional mid-career leaders from throughout New England and beyond,” said Jonathan Lehrich, associate dean for executive education. “The result, as these rankings indicate, is an ongoing community of highly satisfied alumni. They’re proud of what they’d accomplished as they joined the BU EMBA, and of what they and their classmates have achieved—because of each other.”
See the full 2014 Financial Times executive MBA ranking here.
Designing and analyzing large-scale randomized experiments in digital, platform and online social network environments to understanding economic and behavioral processes, such as measuring social influence and estimating the dynamics of contagious phenomena.
Contact – Dylan Walker
What are the factors that are responsible for a purchase being returned? How do we uncover different paths the customers take to a purchase? These are some of the questions we are seeking to answer in this project using large customer activity datasets. The insights and methods developed in this research could allow a retailer to better plan reverse logistics, improve targeted advertising, and intervene at the best time during a customer’s path-to-purchase. Learn more.
By: Nachiketa Sahoo
For much of its existence, humanity operated with a shared economy model. The lack of resources and the daily fight for survival required that early hunter gathers and agricultural communities pool resources in a manner that reduced waste and extracted the maximum value from a limited pool of resources. With the industrial revolution and the rise of the consumer society consumption became much more individualized.
Along with the immense increase in individual wealth arose a socio-economic system in which most of our personal resources became less efficiently utilized, while at the same time, the efficiency of manufacturing and commercial resources rose. The last two decades has brought to the fore various factors that have put this socio-economic system under strain: the growing threat of climate change, limitations on the use of energy-based resources, geo-economic imbalances that have brought into the system billions of emerging market consumers. One reaction to these changes has been a shift in values and a felt pressure to be more individually efficient in the use of resources via what is now termed “the sharing economy”.
The sharing economy encompasses a host of activities, technologies and organizations and is a modern advance on the early ideas of Felson and Spaeth (1978) around “collaborative consumption”. While still nascent, the sharing economy has some clear iconic success stories – AirBnB, Zipcar, RentTheRunway—and is estimated by Forbes to amount to approximately $3.5B with growth in excess of 25% per annum. Despite the growing importance of the sharing economy, little structured academic research has examined the shared economy, from basic motivations of consumers to be involved or not involved in accessing rather than owning goods to the essential differences in meaning and experience that sharing versus owning creates. This collaborative research project with Royal Holloway University of London seeks to understand the cultural underpinnings of an understanding of what the sharing economy is and how it is and can be enacted in people’s everyday lives.
By: Susan Fournier
What Does Reputation Buy in the Options Market? The Effect of Reporting Consistency on Ex Ante Uncertainty.
We show that firms, which deliver continuous strings of meeting or beating earnings expectations, experience reduced uncertainty in the marketplace. This suggests that managerial reputation for repeatedly hitting such earnings targets is priced by the options markets. This paper is targeted for publication in a top accounting research journal by clarifying our understanding of both the role of managerial reporting reputation in the pricing of equity shares, as well as the drivers of volatility in the marketplace.
By: Thaddeus Neururer, George Papadakis, Eddie Riedel
We show that boards of directors use their discretion to minimize compensation given to senior executives for unrealized gains – that is, gains reported by the firm but not yet realized in cash. This is important, as boards wish to avoid paying executives for gains that fail to materialize, and then having to engage in costly actions to recoup this compensation. This paper is targeted for publication in a top accounting research journal by adding to the extensive literature on senior executive compensation, a high profile topic of public interest.
By:Ana Albuquerque; Bingyi Chen; Flora Dong; Eddie Riedl
This research stream examines the rising development of platform firms and business ecosystems such as Android, Airbnb, Kickstarter, and Pinterest. How is innovation different in this context? Should crowds displace experts? Can we measure the health of an ecosystem and determine where to intervene? Should governments adopt platform strategies to grow their economies? How can new firms launch and overcome critical mass problems. Can we change the structure of an entire industry by placing strategic bets? This research will involve both econometric analysis of big data and analytic theory development.
Contact – Marshall Van Alstyne
In a Remix economy, how should we allocate credit and $$ to the people who create a composite good? How can we rethink intellectual property to permit more “permissionless innovation” and allow more great software, music, art, and writing to be produced? This project explores several analytic models of credit attribution and also visualization for reused works. We will also run live experiments on remix projects in an effort to develop broad policy implications.
Contact – Marshall Van Alstyne
We are focused on leveraging recent advances in Machine Learning to improve both the administration and delivery of healthcare. Examples of ongoing projects include:
- The inference of physician social networks from administrative data, and its use in understanding the impact of insurance structure and coverage restrictions
- The prediction of patient re-admissions from administrative, demographic, and chart-level data as well as potential interventions to prevent such readmission
- The analysis of the raw data in new HIV blood-testing machines which will be deployed to the developing world, attempting to make them as accurate as contemporary western machines without the need for grid power, refrigerated chemicals, or highly trained technicians.
Through the development and refinement of machine learning methods, there are many significant gains to be made in these and related areas.
Contact – Ben Lubin