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The study aims to overview the different types of internal-led cyber fraud that have gained mainstream attention in recent major-value fraud events involving prominent Indian banks. The authors attempted to identify and classify cyber frauds and its drivers and correlate them for optimal mitigation planning.

The methodology opted for the identification and classification is through a detailed literature review and focus group discussion with risk and vigilance officers and cyber cell experts. The authors assessed the future of cyber fraud in the Indian banking business through the machine learning–based k-nearest neighbor (K-NN) approach and prioritized and predicted the future of cyber fraud. The predicted future revealing dominance of a few specific cyber frauds will help to get an appropriate fraud prevention model, using an associated parties centric (victim and offender) root-cause approach. The study uses correlation analysis and maps frauds with their respective drivers to determine the resource specific effective mitigation plan.

Finally, the paper concludes with a conceptual framework for preventing internal-led cyber fraud within the scope of the study. A cyber fraud mitigation ecosystem will be helpful for policymakers and fraud investigation officers to create a more robust environment for banks through timely and quick detection of cyber frauds and prevention of them.

Additionally, the study supports the Reserve Bank of India and the Government of India's launched cyber security initiates and schemes which ensure protection for the banking ecosystem i.e. RBI direct scheme, integrated ombudsman scheme, cyber swachhta kendra (botnet cleaning and malware analysis centre), National Cyber Coordination Centre (NCCC) and Security Monitoring Centre (SMC).

Structured and effective internal-led plans for cyber fraud mitigation proposed in this study will conserve banks, employees, regulatory authorities, customers and economic resources, save bank authorities’ and policymakers’ time and money, and conserve resources. Additionally, this will enhance the reputation of the Indian banking industry and extend its lifespan.

The innovative insider-led cyber fraud mitigation approach quickly identifies cyber fraud, prioritizes it, identifies its prominent root causes, map frauds with respective root causes and then suggests strategies to ensure a cost-effective and time-saving bank ecosystem.

Banks are exposed to many challenges to name a few i.e. growing market competition, political environment, market forces of demand and supply, technological changes, frauds and poor management. The banking sector devasted experiences of fraud have impacted all facets of the Banking, Financial Services and Insurance. In continuation, this study aims to revolve around themes of different types of frauds, especially insider frauds that have gained mainstream attention in recent major value fraud events with prominent Indian banks. This study will identify the types and drivers of insider frauds.

The methodology opted for the study is through confidential primary survey and focused group discussion with risk officers of banks who are associated with Indian banks for more than three years, further to understand the relation between type of Insider frauds and originating drivers were paired based on the principal component analysis.

Finally, the paper concludes with the conceptual mitigation framework for different types of insider fraud and driver pairs within the scope of this paper. This paper thought will support policymakers of the Indian banking system to create a more robust environment within the banking system via timely detection of frauds so that up to an extent it can be squared before it appears.

The study is innovative in the area of banks’ internal fraud management, where original data collected through a primary survey contributes to the conclusion of fraud management for various Indian banks.

Food fraud has vexed the food industry throughout history. Today, it is still a present and multidimensional problem affecting all parts of the food industry. Food fraud encompasses adulteration, counterfeit, diversion of products outside of intended markets, over-run, simulation, tampering, theft, misrepresentation or mislabelling, malicious poisoning, bioterrorism or sabotage. It is difficult to detect and trace the source of unintentional contamination and related food safety concerns and even more difficult to detect instances of product fraud. The most common product categories that are associated with food fraud are olive oil, milk and milk-based products, fish and seafood, wine, tea, honey and organic foods. On the other hand, knowledge on what influences the occurrence of fraud in food supply chain is limited. The main research aim in this chapter is to determine key factors which influence the occurrence of food fraud within the organic supply chain, and how these factors differ between various organic marketing channel members. We focus on the application of qualitative methods for detecting key food fraud aspects including broad practical areas, such as opportunities and motivations to commit fraud, as well as the presence or lack of suitable food fraud control measures. These three key aspects are assessed to identify the perceived fraud vulnerability of the organic supply chain. The research is conducted with special attention to the context of the transition economies, since these markets require a new, comprehensive strategic approach to preventing and detecting food fraud and adulteration. The entire analysis is conducted on the Serbian market.

The purpose of this paper is to examine the hypothesis that a period of sustained supernormal firm performance (for up to five years before fraud commission) creates financial pressure on actors/agents so they have a propensity to behave fraudulently to keep the good times (apparently) rolling.

Applying the Fama and French (1993) three-factor model using a range of calendar time portfolio methodologies, the authors measure abnormal drifts in stock performance in periods up to five years before alleged fraud commission dates. The authors examine a sample of 561 US firms subject to enforcement actions initiated by the Securities and Exchange Commission (SEC) and the Department of Justice (DOJ) over 1968-2009.

The authors find that sustained firm-specific positive stock price performance for up to five years followed by the almost inevitable adverse shock, which eventually brings the good times to an end, generally precedes corporate fraud. Fraud occurs when firm managers engage in misconduct in a misguided attempt to keep the good times (apparently) rolling despite the negative shock.

The sample is restricted to firms with trading histories on the stock market prior to the misconduct, and to firms contained in the Federal Securities Regulation database of US firms subject to enforcement actions initiated by the SEC and the DOJ over 1968-2009.

The desire to keep the good times rolling appears to be a very important driver of fraudulent behavior, even after controlling for the executive compensation incentive effects and business cycle effects emphasized in prior studies. The robust findings of positive abnormal returns for up to five years preceding initial fraud commission suggest that regulators and investors would be well-advised to scrutinize the behavior of firms that exhibit surprisingly persistent superior performance over an extended period. If the financial results appear too good to be true, a closer examination might just reveal that they indeed are.

While most investors generally like to see the “good times keep rolling” this pressure can create ethical dilemmas for managers.

Unlike most other papers in this area of the literature, which concentrate on the pre-fraud disclosure, the authors investigate the firm’s performance in the pre-fraud commission period. The authors find that the commission of the alleged fraud is preceded by a sustained period of surprisingly good performance of up to five years in length. The authors believe that the paper provides empirical evidence that supports the hypothesis that a period of sustained supernormal firm performance (for up to five years before fraud commission) creates financial pressure on actors/agents so they have a propensity to behave fraudulently to keep the good times (apparently) rolling.

Insurance frauds deeply affect insurance companies, policyholders, and the insurance industry as a whole. The cost of fraudulent damage affects the profitability of companies, and has negative effects on the society in terms of moral values. Increases in insurance costs can lead to increases in the premiums paid by policyholders, each family, and, ultimately, all of the insured. Recently, new legal regulations related to this issue have been performed in Turkey and higher institutions have been created. A regulation issued by the Under-secretariat of the Treasury, on June 1, 2011, defines insurance fraud as aggravated fraud. Insurance fraud in Turkey usually takes the form of intentional misrepresentations of facts to the insurance company to get the company to pay for something not actually covered by the policy. Studies examined the insurance industry in terms of the concept of financial crime, and inclusion of the concept of financial crime in insurance regulations was proposed since financial crimes have an important place in the current problems of the industry. In addition, it is seen that insurance frauds have changed over time as a result of studies.

This case describes a situation in which Malkit Singh Bal (Bal) partner of Bal Roadlines shares with Mr. Ghura, who was about to be hired as consultant for Bal Roadlines, about the rise in issue of fraud and crime done by the fleet drivers and asked him to help a way out to solve the problem. The purpose of this case is to provide an opportunity to the participants of an MBA or Management Executive Education Programme to step into the shoes of Ghura, a consultant and to explore the options and to select the best possible option to offer a solution to Bal. The context for this involvement is the rise in fraud and crime done by the fleet drivers.

Entrepreneurship, new venture management, new venture planning.

The case involves various issues within entrepreneurship and the new venture management field such as business model, SWOT analysis, Pros and Cons analysis and challenges faced during the idea commercialization phase. Thus, this case can be used for covering multiple perspectives related to entrepreneurship and new venture planning. This case is useful for discussion in a session on opportunity recognition at ideation stage. This case is also ideal to teach the “Business Model Canvas”, which is fast gaining centre-stage for modern enterprises. The case also covers issues within strategic management such as what actually constitutes a strategy.

The case is based on a field study and primary data collected by interviewing the co-founder of the portal www.drivers420.com. This case describes a situation in which Malkit Singh Bal (Bal) Partner of Bal Road lines shares with Mr Amarpreet Singh (Singh), who was about to be hired as a consultant for Bal Roadlines, information regarding the rise in fraud and crime carried out by fleet drivers and asks him to help him find a solution to the problem.

Prepare a “Business Model Canvas” for the successful operation of business by identifying intended customer segment, value proposition, cost structures and revenue streams. Conduct “Pros and Cons” analysis for starting a business. Conduct “SWOT” analysis for starting a business. Understand what actually constitutes a strategy and understand the five elements constituting strategy.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 3: Entrepreneurship.

The purpose of this paper is to investigate the causes and impact of employee fraud, focusing on one particular industry, namely, the automotive industry.

One company was selected as a case for the study. Qualitative data analysis was used for the study, with two techniques for data collection. First was the content or document analysis on various reports, such as employee fraud reports and records of disciplinary action, and second was a series of interviews with employees from different levels and various departments of the company.

This study found that the most popular type of fraud is misappropriation of assets, including theft of cash and inventories. No significant differences were seen in terms of fraudster position, as they can come from both the lower and the executive level. However, majority of the fraudsters come from the operational and sales department. This study also found that majority of the fraudsters in the case study were male, new employees and young adults. Their motivations to commit fraud include lack of understanding about fraud behavior, opportunity to commit fraud and lifestyle and financial pressure.

The results provide further confirmation of the Fraud Triangle Theory and Fraud Diamond Theory on the causes of the fraud. They are also consistent with much prior research and surveys conducted by global professional firms on fraud and its related causes and implications. This study, however, was conducted on only one company with several series of interviews and three years of document analysis. Future research should collect and analyze data from a higher number of companies with more respondents for interviews and longer period for document analysis to get more accurate results.

This study provides some recommendations for fraud prevention in the future based on real fraud cases and those that involved managing cases up to and including disciplinary decision. These include closed supervision, fraud awareness training, clearer job descriptions, cultivation of a pleasant working environment and improved security control.

This study found that some of the causes of fraud include social factors like lifestyle and financial pressure due to low income. Policy adjustments, such as an effort to push people beyond the poverty line with higher minimum wages, need to be made to prevent low-income workers from seeing their company as another source of illegal income.

This study is original, as it focuses on a company that operates in the automotive industry, which is rare in fraud literature, particularly in developing markets. In addition, the company is new, so analysis can be conducted on how the company evolved and learned from the fraud analysis for prevention in the future. Furthermore, this study used two techniques of data collection, so that verification of the findings may be made for better reliability.

This paper aims to focus on the different types of insider-led cyber frauds that gained mainstream attention in recent large-scale fraud events involving prominent Indian banking institutions. In addition to identifying and classifying cyber fraud, the study maps them on a severity scale for optimal mitigation planning.

The methodology used for identification and classification is an analysis of a detailed literature review, a focus group discussion with risk and vigilance officers and cyber cell experts, as well as secondary data of cyber fraud losses. Through machine learning-based random forest, the authors predicted the future of insider-led cyber frauds in the Indian banking business and prioritized and predicted the same. The projected future reveals the dominance of a few specific cyber frauds, which will make it easier to develop a fraud mitigation model based on a victim-centric approach.

The paper concludes with a conceptual framework that can be used to ensure a sustainable cyber fraud mitigation ecosystem within the scope of the study. By using the findings of this research, policymakers and fraud investigators will be able to create a more robust environment for banks through timely detection of cyber fraud and prevent it appropriately before it happens.

The study focuses on fraud, risk and mitigation from a victim-centric perspective and does not address it from the fraudster’s perspective. Data availability was a challenge. Banks are recommended to compile data that can be used for analysis both by themselves and other policymakers.

The structured, sustainable cyber fraud mitigation suggested in the study will provide an agile, quick, proactive, stakeholder-specific plan that helps to safeguard banks, employees, regulatory authorities, customers and the economy. It saves resources, cost and time for bank authorities and policymakers. The mitigation measures will also help improve the reputational status of the Indian banking business and prolong the banks’ sustenance.

The innovative cyber fraud mitigation approach contributes to the sustainability of a bank’s ecosystem quickly, proactively and effectively.

This paper investigates how companies become resilient to supply chain (SC) piracy through using transactional and relational governance mechanisms to develop strategies effective in environments characterized by weak regulative institutions and mistrust.

This study developed case studies of nine large manufacturers with operations in Brazil.

The companies employed transactional and relational governance mechanisms to learn from past incidents, anticipate, and respond to the threat of SC piracy, becoming more resilient over time. Transactional governance mechanisms reduced risk triggers through technology, while relational governance mechanisms enhanced trust between SC and non-SC members, allowing the members to build social capital.

The authors provide practical guidance for managers and policymakers in developing risk management strategies based on technology and collaboration to reduce SC piracy in environments characterized by mistrust.

SC piracy is a serious problem for global operations and SCs in many low-cost manufacturing locations. Besides the cost and service level consequences, the authors also highlight worker safety consequences, including the potential for kidnapping, psychological trauma, injuries, and death.

This study focuses on the little-researched topic of SC piracy. The authors examine the negative effects of a weak institutional environment, while most prior research focuses on the positive effects of a strong institutional environment. The authors position transactional and relational governance mechanisms as essential elements of SC risk resilience.