Intelligent Systems in Accounting Finance & Management

Scope & Guideline

Elevating financial strategies with intelligent systems.

Introduction

Welcome to the Intelligent Systems in Accounting Finance & Management information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Intelligent Systems in Accounting Finance & Management, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1055-615x
PublisherJOHN WILEY & SONS LTD
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationINTELL SYST ACCOUNT / Intell. Syst. Account. Financ. Manag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND

Aims and Scopes

The journal 'Intelligent Systems in Accounting Finance & Management' primarily focuses on the intersection of technology and finance, emphasizing innovative methodologies and applications in accounting and financial management. It aims to disseminate cutting-edge research that integrates artificial intelligence, machine learning, and data analytics within these fields.
  1. Artificial Intelligence and Machine Learning Applications:
    The journal highlights the use of AI and machine learning techniques in various financial contexts, including fraud detection, predictive analytics, and investment decision-making.
  2. Big Data and Analytics in Finance:
    Research focusing on big data analytics is a core area, exploring how vast amounts of data can influence financial forecasting, market analysis, and decision-making processes.
  3. Financial Technology (FinTech) Innovations:
    The journal addresses advancements in FinTech, including cryptocurrency analysis, blockchain implications, and digital transformation in accounting practices.
  4. Behavioral Finance and Market Analysis:
    It also covers themes related to behavioral finance, utilizing sentiment analysis and psychological indicators to understand market movements.
  5. Sustainability and Corporate Social Responsibility:
    Research on corporate governance, sustainability, and ethical financial practices is emphasized, particularly in relation to the evolving expectations of stakeholders.
Recent publications in the journal have highlighted several emerging and trending themes that reflect the evolving landscape of accounting, finance, and management. These themes showcase the journal's responsiveness to new challenges and opportunities in the field.
  1. Predictive Analytics and Forecasting:
    There is a significant trend towards developing advanced predictive models using machine learning, indicating a growing interest in data-driven decision-making in finance.
  2. Blockchain and Cryptocurrency Research:
    Research on blockchain technology and cryptocurrency is on the rise, reflecting the increasing relevance of these topics in the financial sector and their implications for accounting practices.
  3. Textual and Sentiment Analysis:
    Emerging interest in textual analytics, particularly sentiment analysis in financial contexts, highlights the importance of understanding market psychology and investor behavior.
  4. Integration of AI in Auditing and Compliance:
    The application of AI in auditing processes is gaining traction, with researchers exploring its potential to enhance accuracy, efficiency, and compliance in financial reporting.
  5. Sustainable Finance and ESG Metrics:
    An increasing focus on sustainability, particularly Environmental, Social, and Governance (ESG) metrics, reflects the growing importance of ethical considerations in financial decision-making.

Declining or Waning

While the journal has consistently focused on several core themes, certain areas have seen a decline in prominence over recent publications. These waning themes reflect a shift in research interests and methodologies, aligning more closely with current technological advancements and market needs.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in the use of conventional statistical methods for financial analysis, as researchers increasingly favor machine learning and AI-driven approaches.
  2. Generalized Models in Financial Forecasting:
    The decline in generalized models for forecasting indicates a movement towards more specialized and complex models, particularly those that leverage deep learning techniques.
  3. Qualitative Research in Accounting:
    The focus on qualitative approaches in accounting research appears to be waning, as the emphasis shifts towards quantitative methods supported by data analytics.
  4. Basic Financial Reporting Standards:
    The exploration of fundamental financial reporting standards is less frequent, possibly due to a growing interest in innovative practices and technologies that surpass traditional frameworks.
  5. Niche Areas of Finance:
    Research on niche areas, such as specific regional markets or infrequent financial instruments, seems to be declining as broader, more impactful themes take precedence.

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