Article
Computer Science, Information Systems
Yanfang Niu, Limeng Ying, Jie Yang, Mengqi Bao, C. B. Sivaparthipan
Summary: Business intelligence helps organizations extract key information from a wide variety of unstructured data to improve decision-making and business efficiency. Challenges in business intelligence and decision-making include plan failure, lack of preparation, resource failure, and risk-taking capability.
INFORMATION PROCESSING & MANAGEMENT
(2021)
Article
Business
Awad Elsayed Awad Ibrahim, Ahmed A. Elamer, Amr Nazieh Ezat
Summary: This study explores the potential convergence points between big data and accounting and presents exciting research questions for future studies. By reviewing literature and proposing new ideas, the research develops new points of convergence between big data and accounting. The conclusion indicates that big data has the potential to overcome data limitations in accounting techniques and shows significant convergence with three accounting theories.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Review
Green & Sustainable Science & Technology
Glory Urekwere Orlu, Rusli Bin Abdullah, Zeinab Zaremohzzabieh, Yusmadi Yah Jusoh, Shahla Asadi, Yousef A. M. Qasem, Rozi Nor Haizan Nor, Wan Mohd Haffiz bin Mohd Nasir
Summary: The significance of big data analytics in the health sector is explored in this systematic literature review. The review aims to identify and analyze factors that contribute to imperfect information in big data analytics and their impact on decision-making processes in healthcare. Additionally, a taxonomy specifically focused on imperfect information in big data analytics in the health sector is created. The findings highlight the importance of addressing uncertainty, imprecision, vagueness, incompleteness, and complexity factors in order to sustain effective decision-making. The taxonomy provides healthcare managers with strategies for dealing with incomplete information in big data analytics.
Review
Health Care Sciences & Services
Grazia Dicuonzo, Graziana Galeone, Matilda Shini, Antonella Massari
Summary: This article explores the application of big data in healthcare and the integration of traditional data analytical tools and techniques for decision-making. The study results suggest that the acquisition, management, and analysis of a large volume of health data are crucial for effective and patient-centered care.
Article
Mathematics, Interdisciplinary Applications
Rongrui Yu, Chunqiong Wu, Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen
Summary: This article analyzes the characteristics and problems of the existing electronic commerce system, and proposes to use MySQL and HBase as two different storage mechanisms to solve the data storage problem. It also utilizes MapReduce to parallelize the data mining algorithm, builds a commodity recommendation subsystem based on Hadoop, and designs a full-featured online mall system using JavaEE technology. Finally, it explores the impact of mobile e-commerce on e-commerce, discussing precision marketing, logistics optimization, and security measures.
Article
Computer Science, Information Systems
Thuy Duong Oesterreich, Eduard Anton, Frank Teuteberg
Summary: This study found that the social factors of business analytics have a greater impact on business value, while technical aspects play a minor role. By synthesizing and validating the findings of the body of knowledge, we contribute to the ongoing debate concerning business analytics business value.
INFORMATION & MANAGEMENT
(2022)
Article
Operations Research & Management Science
Junwei Wang, Yan Zhao, P. Balamurugan, P. Selvaraj
Summary: Artificial intelligence is integrated into decision support systems and has a significant impact on decision-making. This research proposes a comprehensive model that incorporates deep learning algorithms and multi-criteria decision-making techniques to handle managerial data problems.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Business
David M. Gligor, Kishore Gopalakrishna Pillai, Ismail Golgeci
Summary: New technologies such as AI, blockchain, and big data analytics have the potential to transform B2B relationships and lead to the emergence of previously unexplored dark side effects. Despite advances in research on the dark side of B2B relationships, there is a need to focus on the underlying processes rather than just the manifestations of negative effects. Neglected theories such as social dominance, organizational inertia, organizational information processing, and role theory can provide valuable insights when examining the dark side of B2B relationships.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Computer Science, Information Systems
Thuy Duong Oesterreich, Eduard Anton, Frank Teuteberg
Summary: This study conducted a meta-analysis of 125 firm-level studies spanning ten years to examine the factors critical to creating business value from business analytics. The findings suggest that social factors, such as human resources, management capabilities, and organizational culture, have a greater impact on business value, while technical aspects play a minor role in enhancing firm performance.
INFORMATION & MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Jie Yang, Pishi Xiu, Lipeng Sun, Limeng Ying, Blaanand Muthu
Summary: Social media analytics is a crucial method for making business decisions, providing insights into social consumers and facilitating effective decision-making. The Business Decision Making System (BDMS) has been proposed to utilize social media data analytics for business development, emphasizing key principles, issues, and functionality.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Review
Computer Science, Information Systems
Fatima Hussain, Muhammad Nauman, Abdullah Alghuried, Adi Alhudhaif, Nadeem Akhtar
Summary: With the unprecedented rate of data generation, the use of Big Data in the healthcare industry has become increasingly important. This review article analyzes 185 papers to provide a comprehensive overview of the techniques and methods used in utilizing Big Data Analytics in healthcare and serves as a reference for researchers.
Article
Information Science & Library Science
Akriti Chaubey, Chandan Kumar Sahoo
Summary: Although business intelligence is considered a game-changer during the pandemic crisis, many organizations struggle to fully assimilate it. The commitment of top leaders significantly influences the acceptance and routinization of business intelligence within organizations.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Mazhar Javed Awan, Mohd Shafry Mohd Rahim, Haitham Nobanee, Ashna Munawar, Awais Yasin, Azlan Mohd Zain
Summary: Big data involves the collection of large datasets to identify trends and patterns, with challenges including the volume and variety of data. In this paper, machine learning models were applied to analyze stock data of 10 companies, with linear regression, random forest, and generalized linear regression showing accuracy rates of 80%-98%.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Operations Research & Management Science
Yu Zhang, L. Ramanathan, M. Maheswari
Summary: The main responsibility of e-business professionals is to generate appropriate and trustworthy financial data, which plays a crucial role in solid internal controlling systems and the ethics and integrity of administration and staff. This article presents a creative approach using Artificial Intelligence to interact with internal controlling systems, aiming to assist managers in creating quality financial data by minimizing the risk of loss.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Information Systems
Anil Pise, Byungun Yoon, Saurabh Singh
Summary: In recent years, there has been significant research in healthcare and administration of cutting-edge ambient intelligence (AmI) technology. Healthcare experts have explored smart gadgets, medical technologies, and ambient intelligence using Internet of Things (IoT) (AIoT). The potential to improve care for individuals living in rural and distant areas by linking these two fields is evident. The healthcare industry has experienced tremendous advances in efficiency, affordability, and usefulness, thanks to new growth opportunities and significant cost reductions. The application of AIoT-H is expected to be covered in the last section, examining relevant approaches for solving healthcare problems and identifying potential issues and inconsistencies.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Maria Jose Sousa, George Jamil, Cicero Eduardo Walter, Manuel Au-Yong-Oliveira, Fernando Moreira
Summary: This study uses quantitative methods to investigate the number of patent filing requests made by residents in Brazil. The results show that universities play a crucial role beyond traditional training and education, and both public and private innovation investments are important. Additionally, the low number of patent filings in Brazil may be attributed to institutional deficiencies.
Article
Computer Science, Artificial Intelligence
Ginni Arora, Ashwani Kumar Dubey, Zainul Abdin Jaffery, Alvaro Rocha
Summary: This paper proposes a deep learning-based segmentation model for dermoscopic images, achieving high accuracy and Jaccard index without relying on previous data information.
Article
Computer Science, Artificial Intelligence
Ginni Arora, Ashwani Kumar Dubey, Zainul Abdin Jaffery, Alvaro Rocha
Summary: This study classifies skin diseases and evaluates the performance of various deep learning networks on skin lesion images. It establishes an efficient automated classification model for multiple skin lesions.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Saad Razzaq, Babar Shah, Farkhund Iqbal, Muhammad Ilyas, Fahad Maqbool, Alvaro Rocha
Summary: In this article, we propose the digital twin framework DeepClass-Rooms for attendance and course contents monitoring in public sector schools in Punjab, Pakistan. DeepClassRooms is cost-effective and can improve teaching quality and learning outcomes.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Shanu Sharma, Ashwani Kumar Dubey, Priya Ranjan, Alvaro Rocha
Summary: This paper presents a study on analyzing the affectiveness of video content by analyzing EEG signals of viewers. The results show the utility of cognitive features on extracted scalp locations and frequency ranges for automatic tagging of video content.
NEURAL COMPUTING & APPLICATIONS
(2023)
Review
Management
Paula Cristina Nunes Figueiredo, Maria Jose Sousa, Eduardo Tome
Summary: This paper proposes an integrative model of leader competences by analyzing various competence models. The model simplifies the process of choosing and implementing a leader competence model, contributing to leadership effectiveness.
EUROPEAN JOURNAL OF TRAINING AND DEVELOPMENT
(2023)
Article
Computer Science, Artificial Intelligence
Anita Thakur, Prakriti Aggarwal, Ashwani Kumar Dubey, Ahmed Abdelgawad, Alvaro Rocha
Summary: The agriculture industry relies heavily on environmental and weather conditions. This study presents a new model for irrigation of sensitive crops, using weather and soil information to determine the timing and quantity of irrigation. The model uses the ANFIS and ANN methods and achieves high accuracy in irrigating Brassica crops.
Editorial Material
Computer Science, Artificial Intelligence
Alvaro Rocha, Simona Mirela Riurean
Article
Computer Science, Artificial Intelligence
Rishabh Tiwari, Ashwani Kumar Dubey, Alvaro Rocha
Summary: Computer vision and deep learning techniques can help analyze high-resolution satellite imagery by applying detection algorithms, providing accurate and fast detection of objects. This can significantly improve our understanding and prediction of global economic activity and urban development.
Editorial Material
Computer Science, Artificial Intelligence
Sajid Anwar, Alvaro Rocha
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Yogesh, Ashwani Kumar Dubey, Alvaro Rocha
Summary: This article introduces the identification methods and impacts of calcium deficiency in pears, as well as the application of artificial intelligence in the agricultural industry. A two-class decision jungle model is proposed to recognize calcium deficiency in pears using a non-invasive approach. The model achieves an accuracy of 98%.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Maria Jose Sousa, Ana Moreira, Joao Leao, Miguel Sousa, Paolo Pietro Biancone, Federico Lanzalonga
Summary: This research investigates the changing skills required for international entrepreneurship (IE) and the awareness of these skills among students and professionals in four European countries. It examines the perceptions of entrepreneurial skills among students and professionals and explores the potential for educational programs to improve their awareness of these skills. The findings show differences in skills perception between students and entrepreneurs.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Industrial Relations & Labor
Ana Moreira, Adriana Nishimura, Maria Jose Sousa, Manuel Au-Yong-Oliveira
Summary: This study aims to validate a scale for assessing the perception of competences and attitudes of Portuguese public administration employees. The sample consists of 1,119 participants from public administration and other labor sectors in Portugal. The psychometric qualities of the scale were studied to assess its usefulness in future research.
INDUSTRIAL AND COMMERCIAL TRAINING
(2023)
Editorial Material
Education & Educational Research
Jacinto Jardim, Maria Jose Sousa
EDUCATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Maria Sousa, Ana Mendes, Dora Almeida, Alvaro Rocha
Summary: This study aims to describe and analyze whether digital remote work during the Covid-19 pandemic is influencing the satisfaction of Public Administration employees. The study found that digital remote work has become a part of organizational life and has an impact on employee satisfaction. Autonomy at work strongly and positively influences satisfaction, while technological specialization and productivity also have a positive but low-intensity influence. Working conditions have a negative influence on satisfaction.
COMPUTER SCIENCE AND INFORMATION SYSTEMS
(2023)
