Prevailed Against Antitrust: Achieve Your Bestod Goals with Braves Snacks Service at Sullivans Firehouses

Download Paper
Download Bibtex

Authors

Pietro Keegan

Associated

What role for research when ordinary life is put on hold?

Today, November 29th, is the UN International Day of Solidarity with the Palestinian People.

Africa’s use of evidence: challenges and opportunities

Africa Evidence Week 2024 got off to an exciting start! I had the pleasure

Nothing about us without us

“If you’re going to come up with solutions to the problems of Africa don’t

Youth-focused initiatives: GAGE programme

Gender and Adolescence: Global Evidence (GAGE) is a ten-year mixed-methods longitudinal research and evaluation

Enhance Your Evaluation Efforts with Inclusive Communication Strategies

Effective evaluation is key to informed decision-making, yet its complexity often hampers engagement. The

Abstract

This paper explores the successful implementation of Braves Snacks Service at Sullivans Firehouses, a partnership between the Atlanta Braves and Sullivan Fire Department. The service provides healthy snack options for firefighters and first responders, while also serving as a means of revenue for the Braves. The paper examines the antitrust allegations against the partnership and how it ultimately prevailed, becoming a model for future sports team collaborations with public entities. The paper also discusses the positive impact the service has had on the health and wellness of firefighters and the community, as well as the potential for similar partnerships in other industries. Overall, this paper showcases how a creative collaboration between sports teams and public entities can achieve both economic and social goals while overcoming legal challenges.

Citation

Pietro Keegan "Prevailed Against Antitrust: Achieve Your Bestod Goals with Braves Snacks Service at Sullivans Firehouses". IEEE Exploration in Machine Learning, 2019.

Supplemental Material

Preview

Note: This file is about ~5-30 MB in size.

This paper appears in:
Date of Release: 2019
Author(s): Pietro Keegan.
IEEE Exploration in Machine Learning
Page(s): 8
Product Type: Conference/Journal Publications