This case explores the accounting treatment of the essential items that appeared in the financial statements of Madison Holdings Group Limited (Madison Holdings or the Group, stock code: 8057.HK). A seller of alcoholic beverages for decades, the Group had no expertise and know-how in financial technology. Through acquisitions, Madison Holdings opened the new blockchain services segment without the need to build everything from scratch on its own. However, the lifespan of the segment was unexpectedly short. Management disposed of the whole segment due to unsatisfactory performance in less than two years. The company's stock price dropped by more than 90% from its peak, largely due to the huge impairment loss recognized in the cryptocurrency mining activities. The case seeks to highlight the accounting treatment of various financial statement items of a company that engages in cryptocurrency mining activities. Through the case, students will grapple with the practical questions of whether Madison Holdings appropriately recognized its cryptocurrency mining revenue and recorded the corresponding costs of cryptocurrency mining activities, including the depreciation expenses and impairment loss of plant and mining equipment.
IT alignment can produce inertia -unless it's accompanied by the right culture. Sure, closely aligning IT with the rest of a company's strategy can cut costs and improve the ability to collect data, facilitating the creation of early-warning systems and operational dashboards. But a less regimented approach has its place, too, allowing responses to changing business and economic conditions that are swift and creative.
In 2016, blockchain, the technological innovation behind the cryptocurrency bitcoin, was gaining traction as companies began to integrate blockchain-based technology into their existing business models. While blockchain technology was still in its infancy, it could potentially transform the US$40 trillion global supply-chain industry. Ultimately, the emergence of blockchain would challenge market positioning in established businesses. Some advantages would become obsolete with the introduction of blockchain into the supply-chain network. How would vertically integrated companies compete with multiple participants that specialized in a particular task linked by blockchain? Would the key to future businesses be providing value-added services rather than seeking information asymmetry in the market? What kinds of firms could leverage this technology to better position their brands and value creation?
User-generated content, such as online product reviews, is a valuable source of consumer insight. Such unstructured big data is generated in real-time, is easily accessed, and contains messages consumers want managers to hear. Analyzing such data has potential to revolutionize market research and competitive analysis, but how can the messages be extracted? How can the vast amount of data be condensed into insights to help steer businesses' strategy? We describe a nonproprietary technique that can be applied by anyone with statistical training. Latent Dirichlet Allocation (LDA) can analyze huge amounts of text and describe the content as focusing on unseen attributes in a specific weighting. For example, a review of a graphic novel might be analyzed to focus 70% on the story line and 30% on the graphics. Aggregating the content from numerous consumers allows us to understand what is, collectively, on consumers' minds, and from this we can infer what consumers care about. We can even highlight which attributes are seen positively or negatively. The value of this technique extends well beyond the CMO's office as LDA can map the relative strategic positions of competitors where they matter most: in the minds of consumers.
As the ride-sharing app, Uber, expands into China, it is confronted by government regulatory concerns and local competition, while also facing opportunities generated by a fast-growing emerging market and aided by local collaborators. Uber endeavours to take the lead in the market, but, as the newcomer, it needs to make many decisions. The case study highlights China's online chauffeuring market and the challenges facing Uber. As students attempt to develop a feasible plan for Uber to succeed, they will review Uber's service offering and the strategies that both Uber and its competitors have adopted. The case also explores other opportunities and challenges that Uber faces as the company works with local businesses and government responses toward the new business sector.
A young analyst decides to collect Twitter data to better understand who is promoting the Net Promoter matrix on the social media site in late July 2015. How widely is the metric mentioned and how much of the dialogue involves conversations rather than tweets being sent as general broadcast messages? He considers the social network of these users, their relationships and the network as a whole to create a network graph and wonders what he can do to improve the way it can be viewed and understood.
Kelsey, a newly minted MBA hired by a firm that provides analysis of companies, has been given a task to present an assessment of six very different firms described by her manager as "retailers." She has been given the performance details of these companies and is expected to quickly analyze the metrics related to the firms' performance, such as return on assets, inventory turns and staff productivity. Her manager also wants her to assess and compare the six firms more broadly. Which firm should Kelsey recommend investing in?