Intelligent Systems in Accounting, Finance and Management
1992 - 2025
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Volume 28, issue 4, 2021
- Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective pp. 217-238

- Sudatta Kar, Arpan Kumar Kar and Manmohan Prasad Gupta
- Multi‐party computation mechanism for anonymous equity block trading: A secure implementation of turquoise plato uncross pp. 239-267

- John Cartlidge, Nigel P. Smart and Younes Talibi Alaoui
- A Review of Big Data Research in Accounting pp. 268-283

- Francis Aboagye‐Otchere, Cletus Agyenim‐Boateng, Abdulai Enusah and Theodora Ekua Aryee
Volume 28, issue 3, 2021
- Machine learning for financial transaction classification across companies using character‐level word embeddings of text fields pp. 159-172

- Rasmus Kær Jørgensen and Christian Igel
- Explaining stock markets' performance during the COVID‐19 crisis: Could Google searches be a significant behavioral indicator? pp. 173-181

- Evangelos Vasileiou
- Particle swarm optimization approach to portfolio construction pp. 182-194

- Ren‐Raw Chen, Wiliam Kaihua Huang and Shih‐Kuo Yeh
- Strategic analysis of providing corporate sustainability open data pp. 195-214

- Raphaela Helbig, Sven von Höveling, Andreas Solsbach and Jorge Marx Gómez
Volume 28, issue 2, 2021
- Conventional and neural network target‐matching methods dynamics: The information technology mergers and acquisitions market in the USA pp. 97-118

- Ioannis Anagnostopoulos and Anas Rizeq
- Data‐driven optimization of peer‐to‐peer lending portfolios based on the expected value framework pp. 119-129

- Ajay Byanjankar, József Mezei and Markku Heikkilä
- Forecasting volatility of crude oil futures using a GARCH–RNN hybrid approach pp. 130-142

- Sauraj Verma
- Who gains and who loses on stock markets? Risk preferences and timing matter pp. 143-155

- Iryna Veryzhenko
Volume 28, issue 1, 2021
- Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey pp. 3-34

- Ahmed M. Khedr, Ifra Arif, Pravija Raj P V, Magdi El‐Bannany, Saadat M. Alhashmi and Meenu Sreedharan
- Biogeography based optimization for mining rules to assess credit risk pp. 35-51

- Parimal Kumar Giri, Sagar S. De, Sachidananda Dehuri and Sung‐Bae Cho
- Impact of corporate performance on stock price predictions in the UAE markets: Neuro‐fuzzy model pp. 52-71

- Elfadil A. Mohamed, Ibrahim Ahmed, Riyadh Mehdi and Hanan Hussain
- Forecasting spot prices of agricultural commodities in India: Application of deep‐learning models pp. 72-83

- Manogna R L and Aswini Mishra
- Enterprise knowledge graphs with applications to continuous monitoring systems pp. 84-93

- Daniel O'Leary
Volume 27, issue 4, 2020
- RegTech—the application of modern information technology in regulatory affairs: areas of interest in research and practice pp. 161-167

- Michael Becker, Kevin Merz and Rüdiger Buchkremer
- Modelling unbalanced catastrophic health expenditure data by using machine‐learning methods pp. 168-181

- Songul Cinaroglu
- The digital future of internal staffing: A vision for transformational electronic human resource management pp. 182-196

- Philip Rogiers, Stijn Viaene and Jan Leysen
- Journal entry anomaly detection model pp. 197-209

- Mario Zupan, Verica Budimir and Svjetlana Letinic
Volume 27, issue 3, 2020
- Trend‐cycle Estimation Using Fuzzy Transform and Its Application for Identifying Bull and Bear Phases in Markets pp. 111-124

- Linh Nguyen, Vilém Novák and Soheyla Mirshahi
- Tick size and market quality: Simulations based on agent‐based artificial stock markets pp. 125-141

- Xinhui Yang, Jie Zhang and Qing Ye
- A neural‐network‐based decision‐making model in the peer‐to‐peer lending market pp. 142-150

- Golnoosh Babaei and Shahrooz Bamdad
- A Google–Wikipedia–Twitter Model as a Leading Indicator of the Numbers of Coronavirus Deaths pp. 151-158

- Daniel O'Leary and Veda C. Storey
Volume 27, issue 2, 2020
- The role of attribute selection in Deep ANNs learning framework for high‐frequency financial trading pp. 43-54

- Monira Essa Aloud
- A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra‐day data pp. 55-65

- Salim Lahmiri
- Using clustering ensemble to identify banking business models pp. 66-94

- Bernardo P. Marques and Carlos Alves
- Predicting credit card fraud with Sarbanes‐Oxley assessments and Fama‐French risk factors pp. 95-107

- James Westland
Volume 27, issue 1, 2020
- Performance assessment of ensemble learning systems in financial data classification pp. 3-9

- Salim Lahmiri, Stelios Bekiros, Anastasia Giakoumelou and Frank Bezzina
- Big data tools for Islamic financial analysis pp. 10-21

- Emna Mnif, Anis Jarboui, M. Kabir Hassan and Khaireddine Mouakhar
- Tehran stock exchange prediction using sentiment analysis of online textual opinions pp. 22-37

- Arezoo Hatefi Ghahfarrokhi and Mehrnoush Shamsfard
Volume 26, issue 4, 2019
- Using long short‐term memory neural networks to analyze SEC 13D filings: A recipe for human and machine interaction pp. 153-163

- Murat Aydogdu, Hakan Saraoglu and David Louton
- Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms pp. 164-174

- Mahla Nikou, Gholamreza Mansourfar and Jamshid Bagherzadeh
- Exploring corporate governance research in accounting journals through latent semantic and topic analyses pp. 175-192

- Ferhat D. Zengul, James D. Byrd, Nurettin Oner, Mark Edmonds and Arline Savage
- Blockchain for tracking serial numbers in money exchanges pp. 193-201

- Kareem Mohamed, Amr Aziz, Belal Mohamed, Khaled Abdel‐Hakeem, Mostafa Mostafa and Ayman Atia
Volume 26, issue 3, 2019
- Exploring the predictability of range‐based volatility estimators using recurrent neural networks pp. 109-116

- Gábor Petneházi and József Gáll
- Co‐evolved genetic programs for stock market trading pp. 117-136

- Jason F. Nicholls and Andries P. Engelbrecht
- Some issues in blockchain for accounting and the supply chain, with an application of distributed databases to virtual organizations pp. 137-149

- Daniel O'Leary
Volume 26, issue 2, 2019
- How to detect illegal corporate insider trading? A data mining approach for detecting suspicious insider transactions pp. 60-70

- M. Fevzi Esen, Emrah Bilgic and Ulkem Basdas
- Predicting SME loan delinquencies during recession using accounting data and SME characteristics: The case of Greece pp. 71-82

- Vasilios Giannopoulos and Eleftherios Aggelopoulos
- A derivatives trading recommendation system: The mid‐curve calendar spread case pp. 83-103

- Adriano S. Koshiyama, Nikan Firoozye and Philip Treleaven
- Erratum and addendum ‐ GOOGLE'S duplex: Pretending to be human pp. 106-106

- Daniel O'Leary
Volume 26, issue 1, 2019
- Using Artificial Neural Networks to forecast Exchange Rate, including VAR‐VECM residual analysis and prediction linear combination pp. 3-15

- Alejandro Parot, Kevin Michell and Werner D. Kristjanpoller
- Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3 pp. 16-31

- Wenmei Yang and Adriano S. Koshiyama
- Profitability of alternative methods of combining the signals from technical trading systems pp. 32-45

- Jasdeep S. Banga and B Brorsen
- GOOGLE'S Duplex: Pretending to be human pp. 46-53

- Daniel O'Leary
Volume 25, issue 4, 2018
- MIAC: A mobility intention auto‐completion model for location prediction pp. 161-173

- Feng Yi, Guan Feng, Hongtao Wang, Zhi Li and Limin Sun
- Predicting credit card delinquencies: An application of deep neural networks pp. 174-189

- Ting Sun and Miklos A. Vasarhelyi
- DNA Mining and genealogical information systems: Not just for finding family ethnicity pp. 190-196

- Daniel O'Leary
Volume 25, issue 3, 2018
- TSFDC: A trading strategy based on forecasting directional change pp. 105-123

- Amer M. Bakhach, Edward P.K. Tsang and V.L. Raju Chinthalapati
- How information and communication technology affects decision‐making on innovation diffusion: An agent‐based modelling approach pp. 124-133

- Carlos M. Fernández‐Márquez and Francisco J. Vázquez
- Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system pp. 134-147

- Ehsan Pourjavad and Arash Shahin
- Open Information Enterprise Transactions: Business Intelligence and Wash and Spoof Transactions in Blockchain and Social Commerce pp. 148-158

- Daniel O'Leary
Volume 25, issue 2, 2018
- Asking ‘Why’ in AI: Explainability of intelligent systems – perspectives and challenges pp. 63-72

- Alun Preece
- Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets pp. 73-85

- Marek Z. Reformat, Ronald R. Yager and Nhuan D. To
- Strategy on a Page: An ArchiMate‐based tool for visualizing and designing strategy pp. 86-102

- Adina Aldea, Maria‐Eugenia Iacob, Jos van Hillegersberg, Dick Quartel and Henry Franken
Volume 25, issue 1, 2018
- Decision analytics mobilized with digital coaching pp. 3-17

- Christer Carlsson
- Toward an ontology‐driven blockchain design for supply‐chain provenance pp. 18-27

- Henry M. Kim and Marek Laskowski
- How fast to run in the Red Queen race? pp. 28-43

- Matthew Oldham
- Evolution of multivariate copulas in continuous and discrete processes pp. 44-59

- Yasukazu Yoshizawa and Naoyuki Ishimura
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