Editorial Board   Guest Author

Mr. Sun

Justin Sun

Compensation Analyst, Lockheed Martin

Justin Sun is a Compensation Analyst for Lockheed Martin, one of the world's largest defense contractors. In his current role, he serves as the Compensation Lead for the Communications, Legal, and Undersea Systems functions of the newly formed Mission and Systems and Training (MST) business area. In this role, he is responsible for supporting key compensation initiatives, such as FLSA compliance, rewards and recognition programs, compression, merit distribution process for union and non-union employees, and salary treatment standards. Prior to joining Lockheed Martin, Mr. Sun was a Human Resources Representative at PepsiCo, the world's second largest food and beverage business, where he supported the payroll and financial planning, pricing, and accounts receivable operations divisions of PepsiCo's North American bottling operations. Justin also worked in talent management and organizational development at Novartis where he supported the launch of the Women's Integrated Learning and Leadership (WILL) Initiative, a career development program focused on advancing women into leadership roles. At Novartis, he also developed a campus recruiting strategy to formalize the company's summer internship programs and to enhance Novartis' employment brand on college campuses. Mr. Sun's hospitality experience includes supporting the reopening of New York's Plaza Hotel through a $450 million renovation and helping to reposition the historic landmark into a AAA Five Diamond property for the first time in the hotel's 102-year history. While working in the human resources and rooms divisions, he devised standard operating procedures that improved the flow and consistency of service in the housekeeping, butler, and guest reception departments and that strengthened collaboration between teams. Mr. Sun continues to demonstrate a passion for advancing the world of work through his research conducted through Cornell's Center for Advanced Human Resources Studies and the Cornell Center for Hospitality Research. In addition to co-authoring a case study on the use of HR analytics in decision-making, he has published research on innovative HR practices in the service industry. While at Cornell, Justin served as President of the Cornell Hotel Society, Collegiate Chapter and as the Human Resources Director for The 82nd Annual Hotel Ezra Cornell, a student-run leadership conference. Mr. Sun holds a Bachelor of Science degree in Hotel Administration and a Master of Industrial and Labor Relations degree from Cornell University. He continues to support his alma mater as an active member of the university's alumni association. Justin holds a Professional in Human Resources (PHR) certification.

Mr. Sun can be contacted at 206-484-8788 or js389@cornell.edu

Coming up in October 2020...

Revenue Management: Maximizing Profit

Hotel Revenue Management continues to evolve at a blistering pace. Driven by technological innovation and new distribution channels, there are some dynamic opportunities for expansion in this fast-growing field. The technology is primarily designed to help revenue managers further refine their operations and pricing models to maximize hotel profit. For example, hotels can't be all things to all people, so a key strategy is to precisely identify their target audience. By employing geo-targeting techniques and analyzing behavior such as previous bookings, on-property purchases and online shopping practices, there is an increased capability to define guest demographics. By segmenting customers in more specific ways, hotels are able to create more personalized experiences which, in turn, allow managers to optimize their room rates. It is also an effective way to fulfill the unique needs and preferences of the individual. Another methodology is to consistently monitor the competition's pricing strategies. There are software tools that analyze a competitor's current rates, and then allow a hotel to make its own pricing adjustments. It is also a useful means to conduct forecasting models. Other technologies that are being integrated into a revenue manager's toolkit include Artificial Intelligence in the form of automated algorithms, and Voice Recognition (VR) for data inquiries, rate changes, and booking behavior. Predictive and analytic software programs are also being leveraged to provide more forward-looking data, instead of the usual reliance on historical performance. These metrics allow managers to be more proactive - rather than reactive - with their revenue strategy. The October issue of the Hotel Business Review will examine these developments and report on how some leading hotels are executing their revenue management strategies.