Artificial intelligence in accounting DOI Creative Commons
Svitlana Korol, Olha Romashko

SCIENTIA FRUCTUOSA, Год журнала: 2024, Номер 154(2), С. 145 - 157

Опубликована: Апрель 11, 2024

Artificial Intelligence (AI) technologies open up broad horizons for enhancing business efficiency and advancing various professional domains, boosting their productivity compe­titiveness. There is an active exploration of approaches to incorporating AI in the accounting sphere, promising a seamless transition from human machine involvement. The aim this article summarize acquired experience, identify perspectives, constraints, risks associated with use activities accountants. research based on hypothesis that widespread activity accountant insufficient level skepticism caution carries significant threats both as whole. Scientific search methods, comparative critical analysis, theoretical generalization, synthesis were used. A prerequisite imple­menting expert information systems ERP systems. analysis technology implementation experience industries demonstrates relevance field performing routine tasks (automated recognition primary documents, processing incoming signals, other standard operations simultaneous reduction probability errors), analyzing large datasets, providing support decision-making (pro­ces­sing data regulatory docu­ments), training professionals, organi­zing internal external communication (parti­cularly between humans machines). Identi­fied potential include breaches privacy security, misinterpretation output data, disregard context, environments, especially due absence emotional intelligence, which influences trust integrated requirement application assessments judgments, mandated by limits scope utilization accounting. Future should focus exploring possibilities integ­ration improving legislation principle risk assessment.

Язык: Английский

Innovative practices: assessing the impact of robotic process automation adoption on internal audit efficiency in KSA DOI
Zaid Jaradat, Ahmad AL-Hawamleh, Mohannad Obeid Al Shbail

и другие.

Journal of Science and Technology Policy Management, Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

Purpose In line with the noticeable trend toward automation in internal audit functions, and considering Saudi Arabia’s Vision 2030, which prioritizes technological innovation, purpose of this study is to explore adoption robotic process (RPA) within KSA’s various sectors auditing domain, a particular emphasis on understanding challenges evaluating impact efficiency. Design/methodology/approach Using quantitative research design, uses bootstrapping approach partial least squares structural equation modeling (PLS-SEM) meticulously analyze data collected from 138 certified auditors around KSA. Findings This reveals associations between regulatory environment, security, vendor reputation, intention adopt RPA Practical implications The findings offer valuable insights for auditors, policymakers industry practitioners involved initiatives. organizations can use these results develop informed strategies navigating maximizing benefits implementation functions. Originality/value contributes significantly existing literature by delving into RPA, efficiency, specifically context KSA – an area that has not been extensively studied.

Язык: Английский

Процитировано

0

From AI Knowledge to AI Usage Intention in the Managerial Accounting Profession and the Role of Personality Traits—A Decision Tree Regression Approach DOI Open Access
Lavinia Denisia Cuc, Dana Rad,

Teodor Florin Cilan

и другие.

Electronics, Год журнала: 2025, Номер 14(6), С. 1107 - 1107

Опубликована: Март 11, 2025

This study examines the key drivers behind adoption of artificial intelligence (AI) in accounting profession, emphasizing influence AI-related knowledge, personality traits, and professional roles. By applying Decision Tree Regression analysis to survey data from professionals, our research identifies AI knowledge as strongest determinant adoption, underscoring importance expertise technology acceptance. While traits play a secondary role, extraversion openness emerge significant factors influencing intentions. The further explores applications financial auditing, tax compliance, fraud detection, clarifying specific domains impacted by integration. These findings offer valuable guidance for policymakers, educators, business leaders aiming equip workforce with necessary skills mindset navigate AI-driven transformation profession.

Язык: Английский

Процитировано

0

The Transformative Role of Industry 4.0 in Supply Chains: Exploring Digital Integration and Innovation in the Manufacturing Enterprises DOI Creative Commons
Md Mehedi Hasan Emon, Tahsina Khan

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2025, Номер unknown, С. 100516 - 100516

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Artificial Intelligence Integration in Higher Education: Enhancing Academic Processes and Leadership Dynamics DOI Creative Commons
Mboneza Kabanda

EIKI Journal of Effective Teaching Methods, Год журнала: 2025, Номер 3(1)

Опубликована: Март 17, 2025

Higher Education is experiencing substantial transformations as Artificial Intelligence (AI) redefines academic and administrative operations. This paper examines AI’s paradigm-shifting influence on Institutions (HEIs), emphasizing its contribution to improving pedagogical processes optimizing efficacy. Using a structured methodology, this study’s thematic analysis highlights key areas where AI making an impact. addresses the positive aspects of using in teaching practices learning process, crucial role writing papers, effects honesty, implementation work, responsibilities faced by education leaders landscape, link between digital divide higher institutions. Further studies may focus comparative research among diverse institutions different regions, leadership strategies that facilitate integration HEIs, techniques enhance literacy teachers, staff, students.

Язык: Английский

Процитировано

0

Impact of artificial intelligence on auditing: an evaluation from the profession in Jordan DOI Creative Commons
Esteban Pérez Calderón, Samer Alrahamneh, Patricia Milanés Montero

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Апрель 7, 2025

Abstract This study looks at how profession thinks artificial intelligence (AI) has changed auditing activities in the Jordan Free and Development Zones Group. It focuses on AI improved processes, communication with clients, task management. A total of 336 auditors participated a structured survey addressing topics such as enhancing audit efficiency, leveraging for client interactions, training programs, ensuring data security. Data was analyzed Smart PLS 4, revealing that significantly boosts accuracy, quality. The findings show integrating into audits enhances work quality streamlines governance practices. However, challenges persist, including inadequate technological infrastructure, privacy concerns, ethical compliance. Auditor is key factor maximizing AI’s benefits improving efficiency. uniquely contributes to literature by highlighting role transforming within specific context—Jordan’s underscores tailored strategies adoption AI, distinguishing it from broader studies. Recommendations include strengthening regulatory frameworks, investing secure systems, offering comprehensive ensure ethical, efficient audits. These provide practical implications firms policymakers. Future studies could examine long-term effects results compare its application across various industries.

Язык: Английский

Процитировано

0

TOE framework elements used on Artificial Intelligence implementation in the accounting and audit sector DOI Open Access
Mirela Simina Mihai, Adriana Duţescu

International Journal of Research in Business and Social Science (2147-4478), Год журнала: 2024, Номер 13(4), С. 335 - 349

Опубликована: Июнь 11, 2024

The purpose of this article is to clarify the impact technological, organisational, and environmental contexts in which Artificial Intelligence solutions are implemented by accounting audit companies Europe. organizational were not enough studied field but becoming more important future. applied methodology was based on a structured interview, it has answered 62 top financial specialists from 18 European countries, with than 10 years experience sector. To design used Technology-Organisation-Environment framework. A serious concern for companies’ representatives consists lack capable understand work solutions. One option that generally preferred prepare their employees these new tasks, rather hiring qualified persons. There two methods can be when implementing Intelligence, buy specific provided third parties, or developed them internally. Data storage security, complexity government regulations do represent threat willing develop area. main contribution study an extensive analysis most elements Technology-Organisational-Environmental framework applicability companies, implement

Язык: Английский

Процитировано

4

The Role of Artificial Intelligence in Eliminating Accounting Errors DOI Open Access
Moustafa Al Najjar, Mohamed Gaber Ghanem, Rasha Mahboub

и другие.

Journal of risk and financial management, Год журнала: 2024, Номер 17(8), С. 353 - 353

Опубликована: Авг. 13, 2024

This study investigates the impact of artificial intelligence (AI) on reducing accounting errors from two distinct angles: that software developers and certified public accountants. We employ a questionnaire-based approach informed by prior research validated through pilot testing. Our findings reveal significant benefits for developers. AI effectively addresses various errors, including tax rate discrepancies, cutoff period inaccuracies, principal violations, concealed transactions, mathematical mistakes, manipulation errors. However, when considering users, AI’s effectiveness varies. While it successfully mitigates certain such as those related to principles, falls short in eliminating contributes fresh insights into role within emerging markets, enhancing our understanding its potential limitations.

Язык: Английский

Процитировано

4

Performance enhancement of artificial intelligence: A survey DOI
Moez Krichen, Mohamed S. Abdalzaher

Journal of Network and Computer Applications, Год журнала: 2024, Номер unknown, С. 104034 - 104034

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

4

Sidestepping Ad Fraud Through Interfaces of Artificial Intelligence Machine Learning DOI
Bhupinder Singh

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2025, Номер unknown, С. 329 - 352

Опубликована: Янв. 10, 2025

The contemporary landscape of banking and financial industry is marked by an amalgamation cutting-edge technologies ever-evolving complexities, underscoring the pressing need for innovative solutions to combat a surge in sophisticated fraudulent activities. focus particularly sharpened on three pivotal dimensions: Ad Click Fraud, Credit Card Management Fraud Document Dispensation within expansive domain E-commerce transactions. This chapter explores AI-based document verification systems which emphasizing their role securing transactions that hinge authenticating documents such as- forged documentation are addressed through including integration blockchain technology with AI not only enhances security but also establishes immutable ledger transactions, mitigating risks associated document-based frauds.

Язык: Английский

Процитировано

0

Deep Diving into Financial Frauds via Ad Click, Credit Card Management and Document Dispensation in E‐Commerce Transactions DOI
Bhupinder Singh, Pushan Kumar Dutta, Christian Kaunert

и другие.

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

0