Messer, Ron (Personal Name)

Financial modeling for decision making: using MS-Excel in accounting and finance c2020. t.p. (Ron Messer is a faculty member of the School of Business at Kwantlen Polytechnic University whose research interests focus broadly on management accounting and decision making. A graduate of six universities, Ron holds undergraduate and graduate degrees in both public and business administration. He is a CPA, a Chartered Accountant, and a Certified Management Accountant with 25 years of working experience in accounting, finance, and information systems. His essays have appeared in publications in Canada, the United States, and the United Kingdom.Ron Messer’s primary areas of interest include organizational strategy, financial planning, and supply chain management (with an emphasis on logistics). To this end, he has published in peer-reviewed academic journals (14 essays), industry-specific journals (six articles), chapters in authoritative texts (four chapters in four books), and business case studies (two teaching cases).Based on his strategy research, Ron developed a method for charging airport landing and terminal fees that optimizes the social welfare for both the traveling public and private sector operators. In conjunction with this work, Ron also proposed a pricing framework for private sector airports. With respect to the public sector, he suggested a renewed focus on organizational vision, whereby the government adopts private sector values in the delivery of its services.on Messer’s essays on supply chain management and logistics describe the impact of e-commerce on aviation globally. In the area of organizational strategy, Ron has proposed a way in which university business programs can distinguish themselves and become world-class institutions.Overall, Ron’s research is helping to develop strategies so that governments can deliver public services more effectively, including airports operating in deregulated environments. His work is influencing the way private and public institutions operate by proposing efficient methods that are globally relevant.)