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The case integrates frameworks on business models, the business model canvas (BMC) and Porter’s generic strategies in the context of the coffee industry in China. The case enables students to construct a Business Model Canvas for competing companies, analyze the canvas to deduce the generic strategy they are pursuing, and formulate recommendations based on this analysis.

The case is derived from secondary sources, including publicly available reports and information about Starbucks and Luckin.

This case looks at Starbucks in China as it faces a fierce Chinese competitor and evolving consumer behavior. Luckin, a Chinese coffee store company, had seen explosive growth since its inception in Beijing in 2017. By late 2019, its number of brick-and-mortar locations surpassed the number of Starbucks’ coffee stores in China, which had entered the Chinese market two decades earlier in 1999. Luckin’s focused on convenience through leveraging technology and reducing costs by limiting physical stores. Although Luckin’s fortunes turned in March of 2020, after an accounting scandal came to light, Luckin’s success suggests that consumers were attracted to its positioning as a “fast coffee pickup and delivery” provider. The case describes Starbucks’ strategy in China, which it sees as an important long-term growth market. It also describes the strategic activities of fast-growing, Chinese coffee company Luckin and discusses Chinese culture and consumer behavior.

The case is written for undergraduate students enrolled in a business strategy or corporate entrepreneurship course. Given that the case centers on China, it could also be used in international entrepreneurship/business courses.

This case is based on using the fraud triangle, theoretical aspects like rationalization and motivation for understanding the financial pressures and corporate greed lead to accounting fraud. Building on the corporate governance’s weakness, the case explores the challenges and the changes that the company has to make to survive.

The case study has been entirely based on published resources. The case explores out the reasons why the companies commit accounting fraud using the motivations, financial pressures and the opportunities exploited due to a weak governance system.

The case deals with a RMB 2.2bn accounting fraud at Luckin Coffee Inc. (L.K.), a US-listed Chinese company, which led to a steep fall in its share price by more than 80% in April 2020. The company’s CEO had to resign in light of the accounting fraud, which involved fabricating the transactions in 2019, the same year it got listed on the NASDAQ stock exchange. The case is a classic example of greed, corporate ambition and flaws in the corporate governance that led to the fraud while framing a course of action for the company moving forward. The case allows the learners to dive deep into the facts to find out why the fraud happened and its repercussions for the company and its various stakeholders. The case can be useful in Accounting, Corporate governance or Ethics modules for both undergraduate and postgraduate students.

The case can be used for both postgraduate and undergraduate financial accounting or corporate governance modules or the executive development programmes explicitly dealing with ethical challenges and accounting fraud.

Since stock return and volatility matters to investors, this study proposes to incorporate the textual sentiment of annual reports in stock price crash risk prediction.

Specific sentences gathered from management discussions and their subsequent analyses are tokenized and transformed into numeric vectors using textual mining techniques, and then the Naïve Bayes method is applied to score the sentiment, which is used as an input variable for crash risk prediction. The results are compared between a collection of predictive models, including linear regression (LR) and machine learning techniques.

The experimental results find that those predictive models that incorporate textual sentiment significantly outperform the baseline models with only accounting and market variables included. These conclusions hold when crash risk is proxied by either the negative skewness of the return distribution or down-to-up volatility (DUVOL).

It should be noted that the authors' study focuses on examining the predictive power of textual sentiment in crash risk prediction, while other dimensions of textual features such as readability and thematic contents are not considered. More analysis is needed to explore the predictive power of textual features from various dimensions, with the most recent sample data included in future studies.

The authors' study provides implications for the information value of textual data in financial analysis and risk management. It suggests that the soft information contained within annual reports may prove informative in crash risk prediction, and the incorporation of textual sentiment provides an incremental improvement in overall predictive performance.

The purpose of this paper is to present a response to papers written by Professors Samiee, Belk and Özsomer as commentary pieces on my original paper, “The uncertain future of globalization: implications for global consumer culture and global brands.”

The paper is in the form of an essay.

The commentaries highlight many areas of agreement with the overall thrust of the original paper, and also pinpoint novel and important additional avenues for reflection and research.

The paper builds on the commentaries, identifying additional ways forward for the field.

Established in 2010, Mellower Coffee has 40 exquisite chain stores and three branches, namely Mellower Coffee Sales, Mellower Business Management and Shanghai Mellower Roasting Factory. Positioned as a premium coffee brand in China, Mellower Coffee has realized the integrated operation and management of the whole industrial chain from raw coffee trade, roasting factory, coffee retail products, specialty coffee chain, office coffee to coffee academy. It has a vision to attract and cultivate more and more coffee lovers by constant innovation coffee culture promotion.

Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.

This paper aims to explain the fundraising and valuation processes of startups and discuss the conflicts of interest between entrepreneurs, venture capital (VC) firms and stakeholders in the context of startup corporate governance. Further, this paper uses the examples of WeWork and Zenefits to explain how a failure of stakeholders to demand an external audit from an independent accounting firm in early stages of funding led to an opportunity for fraud.

The methodology used is a literature review and analysis of startup valuation combined with the Fraud Triangle Theory. This paper also provides a discussion of WeWork and Zenefits, both highly visible examples of startup fraud, and explores an increased role for independent external auditors in fraud risk mitigation on behalf of stakeholders prior to an initial public offering (IPO).

This paper documents a number of fraud risks posed by the “fake it till you make it” ethos and investor behavior and pricing in the world of entrepreneurial finance and VC, which could be mitigated by a greater awareness of startup stakeholders of the value of an external audit performed by an independent accounting firm prior to an IPO.

An implication of this paper is that regulators should consider greater oversight of the startup financing process and potentially take steps to facilitate greater independence of participants in the IPO process.

Given the potential conflicts of interest between VC firms, investment banks and startup founders, the investors at the time of an IPO may be exposed to the risk that the shares of the IPO firms are overvalued at offering.

This study demonstrates how startup practices can be extended to the Fraud Triangle and issue a call to action for the accounting profession to take a greater role in protecting the public from startup fraud. This study then offers recommendations for regulators and standards entities.

There are few academic papers in the financial crime literature that link the valuation and culture of startup firms with fraud risk. This study provides a concise explanation of the process of valuation for startups and highlights the considerations for stakeholders in assessing fraud risk. In addition, this study documents an emerging role for auditors as stewards of proper valuation for pre-IPO firms.