Search Results - subject_exact:"Data mining"

Integrating big data into sustainable supply chain management : a pathway to enhanced firm performance in Ghana's food and beverage sector

Nyamah, Edmond Yeboah; Nyamah, Evelyn Yeboah; Agbodza, Mavis - 2026

The study examines how big data analytics moderate the relationship between sustainable supply chain management practices, specifically sustainable design, procurement, and distribution, and impact firm performance in Ghana's food and beverage manufacturing sector.Data were gathered from 295...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015655258

Data-driven circularity in the aerospace sector : a research perspective on cognitive MRO and generative design

Keivanpour, Samira - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015613597

Measuring economic outlook in the news

Beck, Elliot; Eckert, Franziska; Kühne, Linus; … - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015615555

Adaptive credit card fraud detection : reinforcement learning agents vs. anomaly detection techniques

Mekhlouf, Houda Ben; Moussaid, Abdellatif; Ghanimi, Fadoua - 2026

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to extreme class imbalance and the continuously evolving nature of fraudulent behavior. This study investigates two complementary approaches: anomaly detection based on multivariate normal...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015628709

Economic instability and its effect on brand preferences : big data examination of self-image and online shopping conduct

Johnson, Nuraeni Saripudin; Purwanegara, Mustika Sufiati; … - 2026

Purpose - This study will examine how consumer brand preference is impacted by economic instability in the market of e-commerce in Indonesia, the relationship between self-image and purchasing patterns under three different periods; pre-crisis (2017-2019), crisis (2020-2022), and post-crisis...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015644381

An integrated bibliometric analysis of Benefit of the Doubt composite indicators for policy and decision analysis

Nepomuceno, Thyago; Barbosa, Flávia; Vilarinho, Hermilio; … - 2026

The Benefit of the Doubt (BoD) is a non-parametric frontier model derived from Data Envelopment Analysis (DEA), used to construct composite indicators in various sectors of economic activity, with a particular focus on macroeconomic assessments. Based on documents published in the Web of Science...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015652278

An integrated resampling and machine learning framework for predictive analytics of large wildfires

Camacho, Luís; Catry, Filipe X.; Bacao, Fernando - 2026

Accurately predicting the final burned area of wildfires at the moment of ignition is a challenging problem with important implications for disaster management and resource allocation. In this study, we apply recently developed resampling techniques, combined with machine learning algorithms, to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015652281

Data mining for the adjustment of credit scoring models in solidarity economy entities : a methodology for addressing class imbalances

Bermudez Vera, Ivan Mauricio; Restrepo, Jaime Mosquera; … - 2025

This study addresses the quantification of credit risk in solidarity economy entities, proposing a new methodology to redefine the concept of a "default" in the frequent situations of extreme class imbalances. The objective is to develop and evaluate credit scoring models that enhance risk...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333680

Modeling a sustainable decision support system for banking environments using rough sets : a case study of the Egyptian Arab Land Bank

Elnagar, Mohamed A.; Aty, Jaber Abdel; Elhady, … - 2025

This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338327

Applications and competitive advantages of data mining and business intelligence in SMEs performance : a systematic review

Tsiu, Shao V.; Ngobeni, Mfanelo; Mathabela, Lesley; … - 2025

Small and medium-sized enterprises (SMEs) face unique challenges that can be effectively addressed through the adoption of data mining and business intelligence (BI) tools. This systematic literature review scrutinizes the deployment and efficacy of BI and data mining technologies across SME...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015434557

Integration of data analytics and data mining for machine failure mitigation and decision support in metal-mechanical industry

Araújo, Sidnei Alves de; Bomfim, Silas Luiz; … - 2025

Background: The growing complexity of production processes in the metal-mechanical industry demands ever more effective strategies for managing machine and equipment maintenance, as unexpected failures can incur high operational costs and compromise productivity by interrupting workflows and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015492745

Machine learning applications in finance : special issue reprint

2025 - 2nd edition

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015609822

Emerging trends in tax fraud detection using artificial intelligence-based technologies

Alm, James; Belahouaoui, Rida - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015619641

Service quality dimensions in Austrian food retailing : a text mining approach for physical retail stores

Falatouri, Taha; Brandtner, Patrick; Nasseri, Mehran; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015546810

Beyond static rankings : a tourist experience-driven approach to measure destination competitiveness

Chen, Jinyan; Wu, Jie; Wang, Danni; Stantic, Bela - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015078076

Do P2P borrowers improve the quality of information disclosure? : an analysis with text mining on loan descriptions

Chen, Yuan; Feng, Ji; Li, Xun; Yu, Shijie - 2025

Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015371227

Time analysis of online consumer behavior by decision trees, GUHA association rules, and formal concept analysis

Pitka, Tomáš; Bucko, Jozef; Krajči, Stanislav; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015371478

A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data

Xia, Huosong; Hou, Xiaoyu; Zhang, Zuopeng; Abedin, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373998

Intelligent policy framework : natural resource conservation, knowledge and big data analytics

Xiao, Nina; Qu, Xianhe - 2025

In today's context of escalating environmental pressure, traditional methods of natural resource conservation face numerous challenges. The use of big data analytics to support the formulation of environmental policies has become a crucial approach for enhancing the efficiency and scientific...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015331637

Integrating big data with KNIME as an alternative without programming code : an application to the PATSTAT patent database

Taques, Fernando H.; Chasco Yrigoyen, Coro; Taques, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015332176

Open-source data-driven prediction of environmental, social, and governance (ESG) ratings using deep learning techniques

Lee, Hye Lim; Hwang, Jin Ho; Ryu, Do Yeol; Kim, Jong Woo - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015332640

The impact of Big Data Analytics on firm sustainable performance

Ertz, Myriam; Latrous, Imen; Dakhlaoui, Ahlem; Sun, Shouheng - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333319

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The Impact of Big Data Analytics on Firm Sustainable Performance

Ertz, Myriam; Latrous, Imen; Dakhlaoui, Ahlem; Sun, Shouheng - 2023

Book / Working Paper

Putting the SWORD to the test : finding workarounds with process mining

Waal, Wouter van der; Weerd, Inge van de; Beerepoot, Iris; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333525

Asymmetric effect of airline customer opinions for service quality attributes : text mining approach

Eum, Seong-Won; Leem, Byunghak - 2025

The purpose of this study is to identify airline asymmetric attributes that affect customer satisfaction based on the three-factor theory and to build an Asymmetric Impact-Sentiment Analysis (AISA) for resource allocation prioritization. We identified food and beverage service as a basic factor;...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015334433

Extracting knowledge from customer reviews : an integrated framework for digital platform analytics

Kyriakidis, Anastasios; Tsafarakis, Stelios - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338278

Impact of indices on stock price volatility of BRICS countries during crises : comparative study

Ruzgar, Nursel Selver - 2025

This study aims to identify the common indices having an impact on the SPV of BRICS countries during crises. To address this, the monthly data retrieved from the database of the Global Economic Monitor (GEM), World Bank, IMF International Financial Statistics data, and OECD in the period of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015338400

Unveiling the path to innovation : exploring the roles of big data analytics management capabilities, strategic agility, and strategic alignment

Sarwar, Zahid; Song, Zhi-hong; Ali, Syed Tauseef; Khan, … - 2025

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015192404

Beyond digital transformation : a multi-mixed methods study on big data analytics capabilities and innovation in enhancing organizational performance

Orero-Blat, Maria; Palacios Marqués, Daniel; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015194569

A predictive analytics framework for forecasting soccer match outcomes using machine learning models

Wong, Albert; Li, Eugene; Le, Huan; Bhangu, Gurbir; … - 2025

Predicting the outcome of a sports game is a favourite pastime for sports fans and researchers. The interest has intensified in recent years due to data availability, the development and successful implementation of machine learning algorithms, and the proliferation of internet gaming. This...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420113

A reinforcement learning and predictive analytics approach for enhancing credit assessment in manufacturing

Razaque, Abdul; Beishenaly, Aliya; Kalpeyeva, Zhuldyz; … - 2025

The fundamental issue with a credit system for manufacturers and importers of commodities is inefficient credit assessment. Traditional techniques frequently produce inaccurate risk assessments and credit scores, resulting in financial losses for lenders, missing business growth possibilities,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420272

A machine learning approach for text pattern diagnosis in mental health consultations

Juanita, Safitri; Daeli, Anisah Hasratniwati; … - 2025

Online health consultation services are crucial for mental health support, particularly in densely populated areas. However, the heavy reliance on human expertise often leads to delays, necessitating more efficient and automated solutions. This study developed a machine learning framework to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420451

A novel lift adjustment methodology for improving association rule interpretation

Sowan, Bilal; Zhang, Li; Matar, Nasim; Zraqou, J.; … - 2025

Association rules can offer a human-interpretable insight extracted from data. The lift measures used for evaluating association rules in classical Association Rule Mining (ARM) contexts are mainly based on traditional and well-known ones but suffer from interpretation inadequacy when dealing...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420467

A systematic review of sentiment analytics in banking headlines

Jayanthakumaran, Muhunthan; Shukla, Nagesh; Pradhan, … - 2025

This systematic review investigates sentiment analysis of news headlines in the banking sector, a field susceptible to public sentiment, as demonstrated by phenomena like bank runs leading to rapid deposit withdrawals. We trace the evolution of analytic methods from traditional machine learning...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420485

Big data analytics for strategic decision-making across the battery value chain : a review of status, trends, and future directions

Hemmelder, André; Sehnal, Anne; Lux, Simon; Leker, Jens - 2025

Batteries are crucial for decarbonising energy storage and mitigating climate change. As the battery industry expands, it faces increasing complexity due to accelerated innovation cycles, rising competition, and growing technological diversity, emphasising the need for cost-effective strategic...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015467292

How does Big Data Analytics impact accounting manipulation?

Van Anh Thi Pham; Nguyen, Lan Anh; Dellaportas, Steven; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015467963

Impact of big data analytics capabilities on sustainable performance of Vietnamese retail companies : the mediating role of innovation

Hai Chau Thi Dang; Phuong Linh Thi Nguyen; Phuong Linh … - 2025

While big data analytics capabilities (BDAC) have been pivotal to retail companies, their effects on innovation capabilities and sustainable performance have not been investigated systematically thus far. Therefore, this study explores the influence of BDAC on the innovation capabilities and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015468016

Process mining without perfect data? : Anne Rozinat says yes! : a practitioner's view on event log quality

Del-Río-Ortega, Adela; Beerepoot, Iris; Aa, Han van der; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015470842

Process mining success factors and their interrelationships

Mamudu, Azumah; Bandara, Wasana; Wynn, Moe Thandar; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015470847

A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming

Babar, Muhammad - 2025

The financial sector faces mounting challenges in processing vast volumes of high-velocity data to support intelligent, real-time decision-making. Traditional machine learning models often fall short in accuracy, scalability, and responsiveness when dealing with large, dynamic financial...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015471600

The strategic advantage of innovative organizational culture : an exploratory analysis in digital transformation and big data analytics capabilities

Orero-Blat, Maria; Leal-Rodríguez, Antonio L.; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015451721

Extracting the Federal Reserve's priorities and transparency from FOMC statements using textual data mining tools

Faras, Reyadh; Alshameri, Faleh; Bash, Ahmad - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015454729

Triadic concept analysis for insights extraction from longitudinal studies in health

Santos, João Pedro; Silva, Atílio Ferreira; Mendes, … - 2025

In the health field, longitudinal studies involve the recording of clinical observations of the same sample of patients over successive periods, referred to as waves. This type of database serves as a valuable source of information and insights, particularly when examining the temporal aspect,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015455582

A fused large language model for predicting startup success

Maarouf, Abdurahman; Feuerriegel, Stefan; Pröllochs, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015410204

Realising value from big data analytics : the process of affordance actualisation

Farouk, Firdous Mohd; Schinckus, Christophe; Smith, Sandra - 2025

Recent developments in big data analytics (BDA) enable financial institutions to optimize their decision-making processes. However, many BDA projects fail due to a lack of understanding of the value related to the realisation process. Guided by affordance actualisation theory, this article uses...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015410544

Unleashing the power of text for credit default prediction : comparing human-written and generative AI-refined texts

Wu, Zongxiao; Dong, Yizhe; Li, Yaoyiran; Shi, Baofeng - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015433483

Orchestrating agile omnichannel supply chain planning through big data analytics and end-to-end visibility

Ooi, Ting Kai; Hsieh, Cheng-Hsien; Wang, Shu-Mei; … - 2025

Global supply chains become increasingly complex due to various uncertainties associated with the constant flux. With more firms engaging in global trade, reaping the benefits of offshoring and outsourcing a multitude of business functions worldwide, the increasing complexity continuously tests...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436372

Mining frequent sequences with time constraints from high-frequency data

Tusień, Ewa; Kwaśniewska, Alicja; Weichbroth, Paweł - 2025

Investing in the stock market has always been an exciting topic for people. Many specialists have tried to develop tools to predict future stock prices in order to make high profits and avoid big losses. However, predicting prices based on the dynamic characteristics of stocks seems to be a...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436963

Social media and logistics : uncovering challenges and solutions through YouTube data

Naganawa, Hisatoshi; Hirata, Enna - 2025

Background: Logistics challenges, such as driver shortages, are a major global issue, with many countries struggling to find effective solutions. YouTube, as a social networking platform, has a growing user base and is increasingly used not only for entertainment but also for social interaction,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015437415

Review of dynamic structural equation models for real-time consumer behaviour : methodological advances and applications insights

Magasi, Chacha - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015438133

Gaining customer insights in big data for SMEs market segmentation decisions in emerging markets

Olota, Oluwayomi Omotayo; Balogun, Ebenezer Oluwadamilare; … - 2025

Small and medium enterprises around the world, and especially in emerging markets, face challenges when it comes to market segmentation. They have limited knowledge of the importance of big data customer insights for making concrete market segmentation decisions. The purpose of this study was to...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015438769