Open Access
Review
SciPap-1975
Fraudulent Financial Reporting in the Gray Area of Accounting: A Systematic Literature Review and Future Research Directions
by Falsa Dzaky Arifian, Anis Chariri
Abstract: This study aims to review research on fraudulent financial reporting (FFR) in the grey area of accounting with a systematic literature review approach and bibliometrics analysis. The study was conducted on 74 research articles from the Scopus database. The gray area comprises discretionary accruals, real earnings management, and FFR detection models. This study synthesizes FFR research characteristics, topic developments, key research streams, and future research directions. There are differences in characteristics between research in the gray area and misconduct in the form of research subjects, research objectives, and countries where the research is conducted. The topic development began with utilizing financial ratios as detection tools until various FFR detection methods emerged. The key research streams encompass six main discussions. Several directions for future research, including investigations into the differences in FFR enforcement between developed and emerging countries, studies on real earnings management from behavioral perspectives, exploration of the novel detection methods, and meta-analysis on the Beneish M-score model. Several reviews of FFR have predominantly concentrated on fraudulent organizations, neglecting the exploration of the gray area. This research contributes to other researchers by providing a roadmap for FFR research in the gray area of accounting.
Keywords: Earnings Management, Systematic Literature Review, Fraudulent Financial Reporting, Restatement, Beneish M-Score, Gray Area, Bibliometrics Analysis
JEL classification: M41, M42
Open Access
Article
SciPap-2124
Diversity of Cooperation Networks and Environmental Orientation in Spanish SMEs Transitioning to Circularity
by Juan Jaime Arroyave, Francisco J Sáez Martínez, Pablo Ruiz Palomino, Angela González Moreno
Abstract: Firms are increasingly adopting circular economy (CE) practices to meet the growing demand for sustainability, but most small and medium-sized enterprises (SMEs) have been unable to adopt them due to limited resources, capabilities, and a lack of environmental culture. However, SMEs with an environmental orientation and diverse cooperation networks tend to find this adoption easier. This article examines the role of environmental orientation and the moderating effects of cooperation with diverse networks on the adoption of the following CE practices: CE-based service provision, CE-based communication, CE-based design for production, and CE-based manufacturing. The study is based on a survey conducted with managers from 300 SMEs in the Spanish manufacturing sector. The results, analyzed through structural equation modeling, confirm that both environmental orientation and the diversity of cooperation networks significantly influence the adoption of CE practices among SMEs. These findings have significant implications for business managers, urging them to adopt an environmental orientation and diversify their cooperation networks to access the resources necessary to implement CE practices. Furthermore, policymakers are encouraged to promote the diversification of SME cooperation networks, for example, by fostering partnerships through incentives that support digital platforms for these interactions, ultimately contributing to a more sustainable economy.
Keywords: Stakeholders, Circular Economy Practices, Environmental Orientation, Diversity Of Cooperation, Networks, Small And Medium-Sized Enterprises.
JEL classification: Q01, M1, M21, L25
Open Access
Article
SciPap-2136
Embracing Intelligent Insights: Unveiling Investor Adoption of AI Advice And Risk Appetite
by Hang Dang, Sandeep Kumar Dey, Sinh Duc Hoang
Abstract: This paper aims to reveal the factors influencing investors' intention to accept AI advice in financial decision-making. By integrating the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), it proposes a comprehensive model that elucidates the intricate relationships between social norms, attitude, perceived behavioral control, and the intention to accept AI advice, with a particular focus on examining risk tolerance as a moderating factor. A questionnaire survey was conducted with 569 Vietnamese investors to collect data in three different times. Partial least squares structural equation modeling (PLS-SEM) was utilized to analyze the measurement model and test the hypotheses. Results indicate that perceived usefulness, perceived ease of use, attitude, subjective norms, and perceived behavioral control positively influence the intention to accept AI advice. Furthermore, risk tolerance significantly moderates the link between attitude, subjective norms, perceived behavioral control, and intention to accept AI advice. This pioneering study introduces a comprehensive model unveiling the dynamics of AI advice acceptance in finance. It explores the novel concept of risk tolerance as a moderator, marking an important step in understanding human-AI interaction for financial decisions. Findings provide valuable insights into evolving AI adoption, especially in high-risk contexts.
Keywords: Tam, Risk Tolerance, Ai Advice, Tpb, Financial Decision Making
JEL classification: G4, G11, G15
