個案總覽

In October 2015, a low-level staff accountant was suddenly ecstatic about his career prospects. The Chartered Professional Accountant recruitment process had been gruelling, but the end result made it all the more satisfying. After nearly two years of networking and getting to know firms while they closely evaluated him—and which concluded with seemingly endless interviews—the staff accountant had finally received job offers from his top choices. However, thrilled as he was with the result, he now faced a whole new challenge: what approach would he take to deliver the news to his current employer, where he planned to remain employed with for the next 11 months? Should he tell his employer immediately and risk termination and/or a tense work environment? Or should he keep it a secret as long as possible?

In October 2015, a low-level staff accountant was suddenly ecstatic about his career prospects. The Chartered Professional Accountant recruitment process had been gruelling, but the end result made it all the more satisfying. After nearly two years of networking and getting to know firms while they closely evaluated him-and which concluded with seemingly endless interviews-the staff accountant had finally received job offers from his top choices. However, thrilled as he was with the result, he now faced a whole new challenge: what approach would he take to deliver the news to his current employer, where he planned to remain employed with for the next 11 months? Should he tell his employer immediately and risk termination and/or a tense work environment? Or should he keep it a secret as long as possible?

In recent years, much has been written about evidence-based- or fact-based- decision making. The core idea is that decisions supported by hard facts and sound analysis are likely to be better than decisions made on the basis of instinct, folklore or informal anecdotal evidence. And many organizations have invested heavily in data processing infrastructure and analytical tools based on assumption that better evidence-based decision will follow from these investments. But research by the authors suggests that evidence is not as frequent an input to a decision process as managers like to think. Instead, what occurs is decision-based evidence making -sometimes without managers even understanding, that it's happening. The authors address three key questions: Why does decision-based evidence making occur in organizations? Is decision-based evidence making the necessarily bad? And, if decision-based evidence making is inevitable in organizations, what can be done to lessen its negative impacts? To help answer those questions, the authors explain how decision making is affected by the contexts in which problems are presented- and how those contexts can demand different ways of using evidence, depending on whether the evidence is being used to make, inform or support a decision.

Fidelis is a large Canadian bank with several e-mail systems. The director of E-messaging must decide if it should standardize on one or more systems. He must analyze the various systems with costs for potential solutions ranging from $18 million to $100 million, and consider system complexity, technological nuances, and tradeoffs with technology standardization.