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The authors gathered the core information for this case using publicly available filings from the US Department of Justice and the US Securities and Exchange Commission. Publicly available news articles were used to complement the core information. All sources are cited.

This case involves an assumed fraud perpetrated by the C-suite members of Celadon Group, Inc. – formerly one of the largest trucking companies in North America. By 2016, the value of Celadon’s truck inventory significantly decreased in value. Instead of reducing the inventory to its market value on the Balance Sheet, management engaged in a series of trades and creative accounting to conceal the fact they had overvalued the trucks.

Investment analysts at Prescience Point Capital Management and Jay Yoon (both published on Seeking Alpha) found inconsistencies and red flags in Celadon’s 2016 and 2017 financial reports and reported their suspicions to the public. Soon after, Celadon’s audit committee declared the company’s recent financial statements could no longer be relied upon, resulting in an immediate market loss of $62.3m. In 2019, Celadon entered into a Deferred Prosecution Agreement and was ordered to pay $42.2m in restitution. The Department of Justice (DOJ) criminally charged Danny Williams (president of Quality, a Celadon subsidiary) and he entered a plea agreement. The DOJ also criminally charged Bobby Lee Peavler (CFO) and William Eric Meek (COO). Celadon filed for bankruptcy and operations ceased. Then, in an unexpected turn of events, in 2022, the DOJ dismissed the criminal case against Peavler and Meek.

This case allows students to apply theory learned in a fraud examination or forensic accounting course to an actual fraud case. It discusses red flags and how perpetrators of fraud often need to keep perpetrating wrongdoing to keep the original fraud from being discovered. The authors designed the case for upper-level or graduate business students. It should be included in the course when covering financial statement fraud.

Our understanding of the strategies that lead to the success of start-ups when they scale-up is limited when it occurs at the regional periphery. The main purpose of this study is to explore the specific strategies that start-ups employ to scale-up, specifically in contexts with high resource constraints at the regional periphery.

Analyzing the data from personal in-depth interviews with engineering and science start-up founders in peripheral regions of upstate New York USA bordering the Canadian Ontario, we explored a combination of internal and external strategies that start-ups employed to scale-up.

The study found that start-ups prioritize building internal scaling capacity in their human capital, organizational structure, scalable business model, finance and business ownership. To foster the scaling process further, start-ups develop new effective external strategies that target the business environment.

Policymakers and regional governments can use our research to develop more effective industrial policies for supporting start-ups’ growth and subsiding strategic industry clusters for rebooting new competition policy, which is a current debate in many industrialized economies including the US. This targeted regional industrial policy is specially needed when scaling-up at the regional periphery.

Our study is specially need it when scaling-up at the regional periphery and with limited resources.

This study enriches our understanding of the growth of start-ups and small ventures by providing context-based insights into how firms build the capacity to scale-up in highly challenging and uncertain business environments in a peripheral bordering region between the USA and Canada. It also offers useful managerial and policy implications.