Muhammad Noman Shafique, Sook Fern Yeo, Cheng Ling Tan
Md Abdullahel Kafi, Nazma Akter
Securing financial information, especially accounting, is essential in the digital world. This article explores organizations' challenges in protecting accounting data from evolving cyber threats. By sharing real-life case studies and industry research, we offer suggestions to enhance the security o...
Pratima Verma, Vimal Kumar, Ankesh Mittal, Bhawana Rathore et al.
Purpose This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance fo...
Md Abul Khair, Ravikiran Mahadasa, Ferdouse Ara Tuli, Janaki Rama Phanendra Kumar Ande
This study aims to evaluate the impact of artificial intelligence (AI) on the efficiency and fairness of human resources (HR) decision-making. The key goals are to determine how artificial intelligence improves decision-making efficiency, investigate the fairness issues involved in AI-driven human r...
Mesbaul Haque Sazu, Sakila Akter Jahan
With increasing urbanization across the world, the demand for smart transportation methods to support everyone, as well as freight, becomes more vital. To tackle the challenges of growing congestion on the roads, big data analytics (BDA) strategies can be used to offer insights for real decision-mak...
Arsalan Fayyaz, ChenGuang Liu, Yan Xu, Fahad Khan et al.
Big data analytics provides up-to-date information to facilitate organisational decision-making and boost economic performance. However, an organisation's big data analytical capability must be investigated to determine its importance in driving economic performance through continuous improvement an...
Ridwan Mustofa, Md. Rafiquzzaman, Niamat Ullah Ibne Hossain
Muhammad Hammad, Md Shamimul Islam, Mohammad Asif Salam, Ali Turab Jafry et al.
Smart manufacturing has become a vital technique for increasing productivity and efficiency. Firms are following a smart manufacturing implementation system to compete in the market. Therefore, it is mandatory to find the crucial factors that enable the implementation of intelligent manufacturing in...
Mahbub Hassan, Abdullah Al Nafees, Saikat Sarkar Shraban, Arpita Paul et al.
The integration of machine learning (ML) into intelligent transport systems (ITS) has significantly enhanced the efficiency, security, and sustainability of urban transportation. Bibliometric analysis can identify existing research hotspots and the areas of interest and predict development trends, w...
Md Abdullahel Kafi, T. M. Tariq Adnan
The current competitive environment demands that enterprises adopt changes that lead to market share and profitability expansion. One effective method businesses adopt is Business Process Reengineering (BPR). This entails redesigning business processes radically to realize significant progress on pe...
Sultan Bader Aljehani, Khalid Waleed Abdo, Mohammad Nurul Alam, Esam Mohammed Aloufi
In the rapidly evolving telecommunications industry, organizations in Bangladesh are facing the challenge of improving their performance to stay competitive. However, there is limited research on how big data analytics (BDA) impacts organizational performance (OP) in this context. Therefore, this st...
Md. Habibur Rahman, Brenno C. Menezes, Roberto Baldacci
<p dir="ltr">Recently, there has been a heightened emphasis on employing smart technologies for evaluating logistics performance, and hence we have considered four key technologies, namely blockchain technology (BT), warehouse automation (WA), smart routing (SR), and cloud computing (CC), and measur...
Apoorva Ganapathy, Md. Redwanuzzaman, Md. Mahbubur Rahaman, Wahiduzzaman Khan
Artificial intelligence-driven cryptocurrencies are cryptocurrencies created by Artificial intelligence using the traditional human cryptocurrency development framework without human intervention. An AI explores the data from each different stream and arriving at the framework which can host these c...
Владимир Храмов
The principles of harmonization of interactions between natural and artificial intelligence as part of ergo-technical systems are considered. An updated concept of the man-machine system has been developed within the framework of digitalization of management of socio-economic systems that have an ar...
Hyeong Jin Kim, Jeom Kee Paik
Digital Healthcare Engineering (DHE) offers a proactive approach to improving the safety, longevity, and sustainability of aging ships and offshore structures operating in harsh and remote environments. The DHE framework is composed of five interconnected modules: (1) on-site monitoring and digitali...
RUET, Md. Shahidul Islam, Shafia Sultana, Md Motakabbir Rahman
Impacts of frequency and voltage disturbance on an isolated power system caused by cyber-attack have been discussed, and a neural network-based protective approach has been proposed in this research work. Adaptive PID controllers for both load frequency control and automatic voltage regulator have b...
Jahedul Alam Bhuiyan, Bebe Asma, Sabuj Chandra Bhowmik
About 99 percent of American firms are small and medium-sized enterprises (SMEs) and more than 88 percent of people are employed in SMEs. However, most SMEs are not using supplier interactions in digital platforms which is a flexible IT infrastructure (software, hardware, and network) and a well-dev...
V. S. Kokhanova
In this article, the author gives an example of using the apparatus of fuzzy logic in assessing the effectiveness of digitalization of an enterprise, specifies indicators that can be used as criteria for building a system for assessing the effectiveness of digitalization, as well as provides an over...
M. Awais Shakir Goraya, Atika Ahmad Kemal, Mark Xu, Mahmud Akhter Shareef et al.
Purpose This study aims to examine whether and how a digital transformation strategy (DTS) can improve organisational performance (OP) when confronted with environmental hostility (EH) disruptions. Based on the resource-based view, dynamic capability theories and literature straddling digital transf...
С. О. Крамаров, Л. В. Сахарова
Presents hybrid-fuzzy model of assessment of dynamics of a complex object (plant, industry, manufacturing complex) based on the analysis of a set of heterogeneous indicators of its condition. Ranking of dynamics of each of the parameters separately allows you to identify problem subsystem object, re...