Kingston, ON – Smith School of Business at Queen’s University has joined forces with Great Place to Work® (GPTW), a global authority on building, sustaining, and recognizing high-trust, high-performing workplace cultures. With a focus on employee engagement, the Great Place to Work® program examines how high-trust cultures lead to high performance in organizations. Through its Centre for Business Venturing, Smith will help Canadian small- and medium-sized enterprises (SMEs) succeed as great workplaces through the GPTW program.

Kingston, ON — March 14, 2017 Smith School of Business at Queen’s University and Reticle Ventures Canada Incorporated (Reticle) have launched a new initiative aimed at developing high-performance team and resiliency skills for Queen’s MBA students.

Kingston, ON — Uncertainty from the U.S. election and a rise in anti-trade rhetoric were cited as reasons for the slow export growth, reduced business investments and increased inflation we can expect for Canada in 2017, according to Smith School of Business experts.

TORONTO (November 3, 2016) – Today, the Canadian Olympic Committee (COC) and Smith School of Business at Queen’s University announced an eight-year strategic partnership that will provide scholarships for COC athletes, shared coaching synergies and customized leadership training for COC staff and partners. Smith will be the first business school to become a Team Canada partner and the exclusive provider of business education for the COC.

Toronto, ON – May 10, 2016 – How far ahead are Canadian organizations in their use of data analytics? The Smith School of Business Executive Survey released today shows that leaders of Canada’s organizations agree big data is changing the business landscape. They also seem to be split on how they should be using data/analytics in decision making. Of those surveyed, 52 per cent said they rely too much on data and analytics when making decisions and not enough on their intuition, while 41 per cent indicated they rely on their intuition and experience more and not enough on data and analytics.