Digital Commons Network^™

Board Ethical Commitment And Corporate Performace: A Qualitative Perspective, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith

Research outputs 2022 to 2026

The purpose of the study is to explore the responsibilities of directors in creating a good ethical culture in their organisation and examine whether good ethical practices are able to enhance a company’s performance. To achieve this purpose, face-to-face semi-structured interviews with directors as the respondents are employed as a data collection method. This study found that board ethical commitments are necessary elements for sustaining the good performance of a company. The planning and monitoring of these ethical practices are the responsibilities of the board of directors, which then will be executed by top management, led by the chief executive …

The Visible Hand Of Lawyers: Attorneys’ Selection, White-Collar Fraud, And Criminal Sentences, Jesus R. Jimenez-Andrade

All Faculty Scholarship (Archived)

In the American white-collar fraud prosecution system, attorneys stand between fraudsters and criminal justice. Based on the theory of access literature, this manuscript explores whether attorneys’ selection moderates the relationship between severity of crime and criminal sentence. Collected data from 1,872 white-collar crimes between 2002 and 2020 prosecuted in San Antonio, Texas, test this hypothesis. Findings evidence that attorneys’ selection influences up to 10 percent of the criminal sentence (+,- 64 days). Socioeconomic control variables result in statistical significance, while demographics lack this condition. These findings suggest that fraudsters have incentives to maximize the defrauded amount to gain higher-quality legal …

The Mediating Effect Of Financial Literacy On Blockchain Technology Application And Financial Risk: Insight From Ghanaian Professionals Toward Policy Recommendations, Maxwell Okpoti Mensah, Williams Kwasi Peprah [email protected]

Faculty Publications

This study explores the mediating effect of financial literacy on the relationship between blockchain technology application and financial risk among financial institution professionals in Ghana. Utilizing a correlational research design, data were collected from a sample of 336 professionals through a self-constructed Likert-scale questionnaire. The analysis was conducted using path analysis and mediation techniques. The findings reveal that financial literacy had a significant partial mediating effect between blockchain technology application and financial risk, accounting for 26.0% of the total effect. The direct negative effect of blockchain technology applications on financial risk also remained significant, highlighting the independent contribution of blockchain …

The Effect Of Board Size, Board Independence, And The Composition Of Board Independence On Accrual And Real Earnings Management, Rizkia Fitrasari

Jurnal Akuntansi dan Keuangan Indonesia

This paper examines the effect of board size, board independence, and the composition of board independence on mitigating accrual and real earnings management by using a sample from companies listed in the S&P 500 index from 2010 to 2019. The study uses random-effect regression analysis and finds evidence that large board size is an ineffective tool for reducing earnings management. In contrast, larger board independence proves to mitigate earnings manipulation. However, when board size interacts with board independence, the result becomes more positive indicating that board independence strengthens the positive effect of board size on earnings management. It can be …

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

The Economics Of Financial Scams: Evidence From Initial Coin Offerings, Kenny Phua, Bo Sang, Chi Shen Wei, Gloria Yang Yu

Research Collection Lee Kong Chian School Of Business

We examine the economics of financial scams by analyzing the market for initial coin offerings (ICOs). Using data snapshots of 5,873 ICOs, we find that irregularities in ICO characteristics across listing websites predict higher scam risk and are likely intentional. These patterns are consistent with a model where malicious issuers maximize profits by using irregularities to screen for naïve investors. Almost half of the ICOs in our sample may be scams, amounting to more than U.S. $6 billion in losses. Our results draw attention to the frequent use of screening mechanisms in financial scams.

Mitigating Industry Contagion Effects From Financial Reporting Fraud: A Competitive Dynamics Perspective Of Non-Errant Rival Firms Exploiting Product-Market Opportunities, Eugene Kang, Nongnapat Thosuwanchot, David Gomulya

Research Collection Lee Kong Chian School Of Business

Existing studies show that financial reporting frauds by errant firms cause declines in stock market valuations for non-errant rival firms (i.e. industry contagion effects). We posit that contagion effects may be mitigated by investors’ expectations of non-errant rivals exploiting product-market opportunities at the expense of errant firms. We apply the competitive dynamics literature to argue that non-errant rivals experience lower contagion effects when they have more available slack to engage in competitive actions. This effect is expected to strengthen when rival firms have previously deployed more resources for research and development and advertising investments or have higher prior market share …

Rule Violation And Time-To-Enforcement In Weak Institutional Environments: A Good Faith Perspective, Jun Xia, Yusi Jiang, Heli Wang, Yuan Li

Research Collection Lee Kong Chian School Of Business

Previous studies on corporate misconduct have focused mainly on preventing misconduct or remedying it after detection, but it remains unclear how misconduct can be effectively detected in the first place once it occurs. We apply the good faith perspective in the context of China, which represents a weak institutional environment, and argue that the ability of culpable leaders to conceal information may delay misconduct disclosure because such ability helps maintain the good faith of regulators. Moreover, we argue that because the regulators have faith in professionals (external auditors, institutional investors, and securities analysts) whose skills are in fact often underdeveloped …

Exploring The Impact Of Hexagon Fraud Theory On Fraud Tendencies Among Regional Work Unit Employees In Bandung City: A Quantitative Analysis, Andini Dwiyanti, Nunuy Nur Afiah, Ivan Yudianto

Journal of Accounting Auditing and Business

This research aimed to analyze the effect of the hexagon fraud theory on fraud tendencies based on the perceptions of regional work unit employees in Bandung City. This research used a quantitative approach. The sample was 364 regional work unit employees in Bandung City. A simple random sampling method was used in this research. Data were analyzed using multiple linear regression. The results of this research indicated that the variables of distributive justice (proxy of stimulus), collusion, and internal control (proxy of opportunity) have a negative and significant effect on fraud tendencies. Meanwhile, the variables of leadership style (proxy of …

Application Of Machine Learning Algorithm For Creating Sustainable Omni-Channel Retail Ecosystem, Somedip Karmakar, Anuja Shukla

Management Dynamics

The retail ecosystem has evolved from simple Kirana stores to large omni-channel retail systems. The advent of omni-channel retailing has seen an increased count of fraudsters who can abuse the gap between the online and offline channels to perform different types of fraudulent activities. Fraud can be related to payment, account take over, refund and cancellation abuse, collusion of customers with associates. Waste can be due to over-production, sub-optimal pricing or discounts, damaged products, throwaways, availability issues, packaging waste. The paper tries to identify the need for better research on improvement in fraud detection systems for sparse data, improvement of …

Risk Assessment Approaches In Banking Sector –A Survey, Mona Sharaf, Shimaa Mohamed Ouf, Amira M. Idrees Ami

Future Computing and Informatics Journal

Prediction analysis is a method that makes predictions based on the data currently available. Bank loans come with a lot of risks to both the bank and the borrowers. One of the most exciting and important areas of research is data mining, which aims to extract information from vast amounts of accumulated data sets. The loan process is one of the key processes for the banking industry, and this paper examines various prior studies that used data mining techniques to extract all served entities and attributes necessary for analytical purposes, categorize these attributes, and forecast the future of their business …

The Impact Of Sars-Cov-2 On The Consolidated Meatpacking System In The United States, Judith R. Solomon

Anthós

The Sars-Cov-2 virus has had a particularly intense impact on the meatpacking industry in the United States. In this paper I provide a brief introduction to the social, economic, and political realities that lead to mass deaths of meatpacking workers from COVID, and the impact of a consolidated meatpacking system on disease mitigation. These workers are considered expendable due to a lack of power.

The Ethical Implications Of The Multi-Level Marketing Industry, Lauren Longworth

Marketing Undergraduate Honors Theses

The first multi-level marketing (MLM) businesses were created in the early 20th century and have seen a substantial increase in popularity during the COVID-19 pandemic due to their work-from-anywhere nature. Multi-level marketing is “the practice of distributing, selling or supplying products or services through various levels of independent agents” (Koehn, 2001, p. 153). As working from home became the norm in the past few years, MLM businesses promised financial freedom, a steady income, and opportunities for growth, all by working on the Internet. What was often less transparent is the likelihood of these independent agents making a profit. Distributors have …

Exploring Antecedents Of Generation Y And Z Customers’ Intention To Adopt Cryptocurrency Payments In The Context Of Hotels: A Sequential Mixed-Methods Study, Jehun Moon

UNLV Theses, Dissertations, Professional Papers, and Capstones

Cryptocurrency payments (CPs) are an innovative technology that can disrupt the hospitality industry. However, studies on the antecedents of CP adoption are scarce. To bridge this gap, this study targeted Gen Y and Z, the potential primary user groups, to explore the determinants of intention to adopt CPs. A mixed-methods approach was used to capture the depth and breadth of understanding of factors that impact Gen Y and Z customers’ CP adoption intentions. Study 1, a qualitative study, was utilized to acquire contextualized components. In parallel, Study 2 used a quantitative approach to validate the proposed research model, which combined …

Accounting And Financial Statements Auto Analysis System, Zhen Jia

Electronic Theses, Projects, and Dissertations

This project was motivated by the need to revolutionize the generation of financial statements and financial analysis process thus speeding up business decision making. The research questions were: 1) How can machine learning increase the speed of financial statement preparation and automate financial statements analysis? 2) How can businesses balance the benefits of automating financial analysis with potential concerns around privacy, data security, and bias? 3) Can the Java J2EE framework provide a reliable running environment for machine learning?

The findings were: 1) Machine learning can significantly increase the accuracy and speed of financial analysis. Using machine learning algorithms, financial …

Family Wealth Advisory Services In China – What Kind Of Advisors Can Be More Competent And Successful?, Yang Shen

Dissertations and Theses Collection (Open Access)

High net worth wealth owners generally need various advisory services to meet their wealth management needs, such as investment / global asset allocation, intergenerational succession planning, personal and family tax planning, next-generation education, health management, immigration arrangement for family members, etc.

At the current stage, this paper tries to answer below central research questions for Chinese wealth advisors:

1. From the Perspective of high-net-worth individuals (HNWI) in China, what characteristics should their wealth advisors bear to be considered competent?
2. Which key competency factors are mostly important in making the wealth advisor successful (reflected through performance rating of wealth advisors)?

The research …

Peer Effects In Equity Research, Kenny Phua, Mandy Tham, Chi Shen Wei

Research Collection Lee Kong Chian School Of Business

We study the importance of peer effects among sell-side analysts who work at the same brokerage house, but cover different firms. By mapping the information network within each brokerage, we identify analysts who occupy central positions in their network. Central analysts incorporate more information from their coworkers and produce better research. Using shocks to network structures around brokerage mergers, we identify the influence of peer effects and the importance of industry expertise on analysts’ performance. A portfolio strategy that exploits the forecast revisions of central analysts earns up to 24% per annum.

Privacy And Security Information Awareness And Disclosure Of Private Information By Users Of Online Social Media In The Ibadan Metropolis, Nigeria, Funmilola Olubunmi Omotayo, Joy Oluwabukola Olayiwola

The African Journal of Information Systems

The purpose of this paper is to investigate information privacy and security awareness among online social media (OSM) users in the Ibadan metropolis, Nigeria. Building upon the social exchange theory, some factors that could influence the disclosure of private information on social media were identified. Findings from the analysis of data of 255 respondents revealed that most were aware of information privacy and security measures available on OSM, and the risks associated with the disclosure of private information on OSM. Privacy and security awareness, the perception of benefits associated with the use of OSM, the perception of risks associated with …

Following Their Predecessors' Journey? A Review Of Emne Studies And Avenues For Interdisciplinary Inquiry, Peter J. Buckley, Lin Cui, Liang Chen, Yi Li, Yoona Choi

Research Collection Lee Kong Chian School Of Business

In this review article we take stock of international business (IB) research on emerging economy multinational enterprises (EMNEs) over the past three decades. Our review covers 690 articles published in 64 high-impact peer-reviewed journals between 1990 and 2021 (inclusive). We first present bibliometric findings on some key patterns of this vast body of scholarly work. We then conduct content analysis to critically assess this literature and provide a multilevel synthesis of the existing knowledge base. To do so we propose a theoretical framework that highlights three dimensions - micro-foundations, organizational characteristics, and institutional environment - by which the distinction between …

The Role Of Fintech On Bank Risk-Taking: Mediating Role Of Bank’S Operating Efficiency, Rabbia Sajid, Huma Ayub, Bushra F. Malik, Abida Ellahi

Accounting, Business Analytics, Economics, and Finance Department Faculty Articles

Fintech revolutionized the traditional banking business models in emerging countries. The effect of fintech on banks’ operating efficiency and risk-taking behavior is still inconclusive. The study is aimed at exploring the effect of fintech products on banks’ operating efficiency and risk-taking behavior. The study used a quantitative research approach by collecting secondary data from annual reports of 50 commercial banks from emerging countries, namely, China, India, Pakistan, and Bangladesh, for the period 2014 to 2021. The study used panel data for path analysis and structural equation modeling (SEM) to test the theoretical mediation model by using STATA. The results show …

Reinventing Cybersecurity Internships During The Covid-19 Pandemic, Lori L. Sussman

Journal of Cybersecurity Education, Research and Practice

The Cybersecurity Ambassador Program provides professional skills training for emerging cybersecurity professionals remotely. The goal is to reach out to underrepresented populations who may use Federal Work-Study (FWS) or grant sponsored internships to participate. Cybersecurity Ambassadors (CAs) develop skills that will serve them well as cybersecurity workers prepared to do research, lead multidisciplinary, technical teams, and educate stakeholders and community members. CAP also reinforces leadership skills so that the next generation of cybersecurity professionals becomes a sustainable source of management talent for the program and profession. The remote curriculum innovatively builds non-technical professional skills (communications, teamwork, leadership) for cybersecurity research …

How Management’S Response To Fraud Affects The Likelihood Of Future Fraud., Adam Garrity

Honors Theses and Capstones

This article studies the effect of two parts of deterrence theory: sanction certainty and sanction swiftness, on their ability to prevent and deter embezzlement within companies. I will use an experiment, a research instrument, survey questions, and SPSS and ANOVA software to determine if sanction certainty and sanction swiftness have significant effects on how a fictional company is perceived by participants. Participants will be given a scenario that has a combination of a slow or swift punishment and a high or low detection rate. In the experiment, deterrence theory’s effect will be measured by dependent variables such as organizational attractiveness, …

Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun

College of Graduate Studies: Theses & Dissertations

Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …

Internal Control Strategies To Limit Nonprofit Organization Fraud And Embezzlement Costs., Ralston K. Tracey

Walden Dissertations and Doctoral Studies

AbstractEmployee intent to commit fraud and embezzlement costs has the potential for adverse business outcomes. Nonprofit leaders are concerned with employee fraud and embezzlement costs as it is the main predictor of employee wrongdoing and increase the chances of their organization's failure. Grounded in fraud triangle theory, the purpose of this qualitative multiple-case study was to explore internal control strategies nonprofit leaders use to limit fraud and embezzlement costs. The participants were eight leaders from four nonprofit organizations in the Southeastern United States who successfully used strategies to prevent fraudulent financial losses in their organizations. Data were collected from semistructured …

Small Business Internal Control System Strategies To Protect Business Assets And Profitability, Edward Gabriel Earl Kuupualeialoha Keaunui

Walden Dissertations and Doctoral Studies

The absence of financial expertise and internal control systems contributes to losing business assets and profitability. Small business leaders who lack internal control systems and strategies to protect against the financial loss of business assets and profitability may be vulnerable and suffer losses. Grounded in the Committee of the Sponsoring Organization of the Treadway Commission (COSO) internal control-integrated framework, this qualitative multiple-case study explores internal control system strategies that small business leaders use to protect business assets and profitability. The participants were five small business leaders from the Western region of the United States who have successfully operated for over …

Internal Control Strategies To Limit Nonprofit Organization Fraud And Embezzlement Costs., Ralston K. Tracey

Walden Dissertations and Doctoral Studies

AbstractEmployee intent to commit fraud and embezzlement costs has the potential for adverse business outcomes. Nonprofit leaders are concerned with employee fraud and embezzlement costs as it is the main predictor of employee wrongdoing and increase the chances of their organization's failure. Grounded in fraud triangle theory, the purpose of this qualitative multiple-case study was to explore internal control strategies nonprofit leaders use to limit fraud and embezzlement costs. The participants were eight leaders from four nonprofit organizations in the Southeastern United States who successfully used strategies to prevent fraudulent financial losses in their organizations. Data were collected from semistructured …

Blockholder Mutual Fund Participation In Private In‐House Meetings, Robert M. Bowen, Shantanu Dutta, Songlian Tang, Pengcheng Zhu

School of Business: Faculty Scholarship

The Shenzhen Stock Exchange (SZSE) in China is unique worldwide in requiring disclosure of the timing, participants, and selected content of private in‐house meetings between firm managers and outsider investors. We investigate whether these private meetings benefit hosting firms and their major outside institutional investors— blockholder mutual funds (i.e., funds with ownership ≥5%). Using a large data set of SZSE firms, we find that blockholder mutual funds have more access to private in‐ house meetings, and top management is more likely to be present, especially when a meeting is associated with negative news. Furthermore, when blockholder mutual funds attend negative‐news …

Balancing Loyalties: A Behavioral Study On How The Quality Of Supervisor-Subordinate Relationships Affects Whistleblowing Intentions, Jace B. Garrett, Douglas F. Prawitt, Kyle Sopp

Faculty Publications

While high-quality relationships among employees yield many benefits to organizations, they may have unintended consequences for whistleblowing. In a first experiment, we investigate whether high-quality employee-supervisor relationships reduce employees’ willingness to report supervisor wrongdoing through an internal hotline. We also investigate whether the quality of such relationships mitigates the effect of evidence strength on reporting intention. In a second experiment, we test the robustness of the effects of relationship quality and evidence strength on employees’ willingness to report wrongdoing identified in our first experiment, but to an external auditor. We also examine two factors that may mitigate the negative effect …

Creating Data From Unstructured Text With Context Rule Assisted Machine Learning (Craml), Stephen Meisenbacher, Peter Norlander

School of Business: Faculty Publications and Other Works

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that builds structured, labeled datasets which are accurate and reproducible. CRAML enables domain experts to access uncommon constructs within a document corpus in a low-resource, transparent, and flexible manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis of proprietary data, …

Impact Of Technology On Financial Services, Usoro Usoro

Economic and Financial Review

This paper reviews seven emerging technologies that are shaping the future of financial services across the globe, their impact on financial services, and the implication for regulation. The seven technologies are: Mobile Connectivity; Artificial Intelligence; Decentralised Ledger; Open Source; Hyper Automation; Cloud Computing; and No Code Development Platforms.