Intelligent Systems in Accounting, Finance and Management最新文献_第9页

MIAC: A mobility intention auto-completion model for location prediction MIAC:一种用于位置预测的移动意图自动完成模型

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-08-13 DOI: 10.1002/isaf.1432

Feng Yi, Guan Feng, Hongtao Wang, Zhi Li, Limin Sun

{"title":"MIAC: A mobility intention auto-completion model for location prediction","authors":"Feng Yi, Guan Feng, Hongtao Wang, Zhi Li, Limin Sun","doi":"10.1002/isaf.1432","DOIUrl":"https://doi.org/10.1002/isaf.1432","url":null,"abstract":"<div>\u0000 \u0000 <p>Location prediction is essential to many commercial applications and enables appealing experience for business and governments. Many research work show that human mobility is highly predictable. However, existing work on location prediction reported limited improvements in using generalized spatio-temporal features and unsatisfactory prediction accuracy for complex human mobility. To address these challenges, in this paper we propose a <i>Mobility Intention and Auto-Completion</i> (MIAC) model. We extract those mobility patterns that generalize common spatio-temporal features of all users, and use the mobility intentions as the hidden states from mobility dataset. A new predicting algorithm based on auto-completion is then proposed. The experimental results on real-world datasets demonstrate that the proposed MIAC model can properly capture the regularity of a user's mobility by simultaneously considering the spatial and temporal features. The comparison results also indicate that MIAC model significantly outperforms state-of-the-art location prediction methods, and also can predicts long range locations.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 4","pages":"161-173"},"PeriodicalIF":0.0,"publicationDate":"2018-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137675346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting credit card delinquencies: An application of deep neural networks 预测信用卡拖欠:深度神经网络的应用

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-08-08 DOI: 10.1002/isaf.1437

Ting Sun, Miklos A. Vasarhelyi

{"title":"Predicting credit card delinquencies: An application of deep neural networks","authors":"Ting Sun, Miklos A. Vasarhelyi","doi":"10.1002/isaf.1437","DOIUrl":"10.1002/isaf.1437","url":null,"abstract":"<div>\u0000 \u0000 <p>The objective of this paper is twofold. First, it develops a prediction system to help the credit card issuer model the credit card delinquency risk. Second, it seeks to explore the potential of deep learning (also called a deep neural network), an emerging artificial intelligence technology, in the credit risk domain. With real-life credit card data linked to 711,397 credit card holders from a large bank in Brazil, this study develops a deep neural network to evaluate the risk of credit card delinquency based on the client's personal characteristics and the spending behaviours. Compared with machine-learning algorithms of logistic regression, naive Bayes, traditional artificial neural networks, and decision trees, deep neural networks have a better overall predictive performance with the highest <i>F</i> scores and area under the receiver operating characteristic curve. The successful application of deep learning implies that artificial intelligence has great potential to support and automate credit risk assessment for financial institutions and credit bureaus.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 4","pages":"174-189"},"PeriodicalIF":0.0,"publicationDate":"2018-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1437","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126435026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

How information and communication technology affects decision-making on innovation diffusion: An agent-based modelling approach 信息和通信技术如何影响创新扩散决策:基于主体的建模方法

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-06-26 DOI: 10.1002/isaf.1430

Carlos M. Fernández-Márquez, Francisco J. Vázquez

引用次数: 10

Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system 可持续服务与制造业供应链管理的混合绩效评价:模糊模型与模糊推理系统的集成方法

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-06-21 DOI: 10.1002/isaf.1431

Ehsan Pourjavad, Arash Shahin

{"title":"Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system","authors":"Ehsan Pourjavad, Arash Shahin","doi":"10.1002/isaf.1431","DOIUrl":"10.1002/isaf.1431","url":null,"abstract":"<div>\u0000 \u0000 <p>The aim of this paper is to propose a comprehensive framework for simultaneously measuring the performance of sustainable service and manufacturing supply chain management. Application of the proposed approach also results in reduced uncertainty of the performance measurement process caused by qualitative criteria evaluation. The proposed approach consists of two main steps. First, the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method has been used to determine important criteria by avoiding low influences; and then a Mamdani fuzzy inference system model has been adopted and applied for performance evaluation of sustainable supply chain management (SSCM). This model is employed in order to cope with the vagueness that exists in the SSCM performance investigation due to the vagueness intrinsic in the evaluation of criteria. In the proposed model, human reasoning has been modelled with fuzzy inference rules and has been set in the system, which is an advantage compared with those models in which fuzzy set theory and multicriteria decision-making models are integrated. The proposed approach has been implemented in the pipe and fitting industry in order to highlight its application in real life. Sensitivity analysis has been carried out to determine the influence of service and manufacturing criteria on SSCM performance. The findings reveal that sustainable manufacturing criteria compared with sustainable service criteria have more effect on the performance of SSCM.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 3","pages":"134-147"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1431","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127376542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

TSFDC: A trading strategy based on forecasting directional change TSFDC:一种基于预测方向变化的交易策略

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-05-02 DOI: 10.1002/isaf.1425

Amer M. Bakhach, Edward P.K. Tsang, V.L. Raju Chinthalapati

引用次数: 15

Evolution of multivariate copulas in continuous and discrete processes 连续和离散过程中多元copula的演化

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-03-28 DOI: 10.1002/isaf.1420

Yasukazu Yoshizawa, Naoyuki Ishimura

引用次数: 1

Toward an ontology-driven blockchain design for supply-chain provenance 面向供应链来源的本体驱动的区块链设计

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-03-28 DOI: 10.1002/isaf.1424

Henry M. Kim, Marek Laskowski

{"title":"Toward an ontology-driven blockchain design for supply-chain provenance","authors":"Henry M. Kim, Marek Laskowski","doi":"10.1002/isaf.1424","DOIUrl":"https://doi.org/10.1002/isaf.1424","url":null,"abstract":"<div>\u0000 \u0000 <p>An interesting research problem in our age of Big Data is that of determining provenance. Granular evaluation of provenance of physical goods (e.g., tracking ingredients of a pharmaceutical or demonstrating authenticity of luxury goods) has often not been possible with today's items that are produced and transported in complex, interorganizational, often internationally spanning supply chains. Recent adoptions of the Internet of Things and blockchain technologies give promise at better supply-chain provenance. We are particularly interested in the blockchain, as many favored use cases of blockchain are for provenance tracking. We are also interested in applying ontologies, as there has been some work done on knowledge provenance, traceability, and food provenance using ontologies. In this paper, we make a case for why ontologies can contribute to blockchain design. To support this case, we analyze a traceability ontology and translate some of its representations to smart contracts that execute a provenance trace and enforce traceability constraints on the Ethereum blockchain platform.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 1","pages":"18-27"},"PeriodicalIF":0.0,"publicationDate":"2018-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1424","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137716592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 557

Decision analytics mobilized with digital coaching 数字化指导下的决策分析

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-03-28 DOI: 10.1002/isaf.1421

Christer Carlsson

{"title":"Decision analytics mobilized with digital coaching","authors":"Christer Carlsson","doi":"10.1002/isaf.1421","DOIUrl":"10.1002/isaf.1421","url":null,"abstract":"<div>\u0000 \u0000 <p>The context to be addressed is the digitalization of industry and industrial processes. Digitalization brings enhanced customer relationships and value-chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings more pronounced requirements for effective planning, problem solving and decision making in an increasingly complex and fast-changing environment. Decision analytics will meet the challenges from the growing global competition that major industrial corporations face and will help solve the problems of big data/fast data that digitalization is generating as a by-product. A mantra is appearing in business magazines – that powerful, intelligent systems will be effective tools for the digitalization of industrial processes – but much less attention appears to be paid to the fact that users need advanced knowledge and skills to benefit from the intelligent systems. First, an effective transfer of knowledge from developers, experts and researchers to users (including management) will be needed; second, the daily use and operations of the systems need to be supported, as automated, intelligent industrial systems are complex to operate. We look at this transfer as knowledge mobilization and will work out how the mobilization can be supported with coaching; this coaching needs to be digital, as human coaches are both scarce and too expensive to employ in large numbers.</p>\u0000 </div>","PeriodicalId":53473,"journal":{"name":"Intelligent Systems in Accounting, Finance and Management","volume":"25 1","pages":"3-17"},"PeriodicalIF":0.0,"publicationDate":"2018-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/isaf.1421","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116692391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

How fast to run in the Red Queen race? 在红皇后赛跑中要跑多快?

Intelligent Systems in Accounting, Finance and Management Pub Date : 2018-01-24 DOI: 10.1002/isaf.1419

Matthew Oldham

引用次数: 1

Multi-agent technologies in economics 经济学中的多主体技术

Intelligent Systems in Accounting, Finance and Management Pub Date : 2017-09-27 DOI: 10.1002/isaf.1415

Javier Bajo, Philippe Mathieu, María José Escalona

引用次数: 5