Big Data-Driven Financial Management

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Technology and Innovation".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 8250

Special Issue Editor


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Guest Editor
School of Business and Law, University of Birmingham Dubai, Dubai International Academic City, Dubai P.O. Box 341799, United Arab Emirates
Interests: fintech; ERP; AIS; finance; accounting; regulations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is an opportunity to research recent developments in Big Data-Driven Financial Management. The application of data analytics to business is a trending topic, especially when referring to financial accounting, managerial accounting, financial analyses (both ratios and flows), and management decision-making processes.

If properly managed Big Data can provide great support on forecasts, due diligence analyses, auditing, fraud examination and corporate governance, market analyses, decision-making processes in general, serving many areas of business management. When focused on financial management, Big Data can be mined from many financial sources, both endogenous and exogenous.

Thus, this Special Issue will publish research that explores Big Data-Driven Financial Management and its developments in recent years, framed in the context of impactful applications of the Big Data in finance, accounting, management, auditing, business information systems auditing, fraud examination, financial forecasts, artificial intelligence, machine learning, and economics.

Dr. Alessio Faccia
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Risk and Financial Management is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Financial management
  • Big Data analytics
  • Business information systems
  • Fraud examination
  • Financial patterns and forecasts
  • Financial analyses
  • Information systems auditing
  • Artificial intelligence
  • Machine learning

Published Papers (1 paper)

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Research

17 pages, 1666 KiB  
Article
Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries
by Tatjana Vasiljeva, Ilmars Kreituss and Ilze Lulle
J. Risk Financial Manag. 2021, 14(8), 339; https://doi.org/10.3390/jrfm14080339 - 21 Jul 2021
Cited by 15 | Viewed by 7647
Abstract
This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by [...] Read more.
This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies. Full article
(This article belongs to the Special Issue Big Data-Driven Financial Management)
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