Chatbots are increasingly integrated into customer support systems due to recent developments in artificial intelligence. Chatbots can provide quick and tailored services to users, including employees and consumers. This paper presents a decision-making framework for chatbot selection in the...

This article models the purchasing intention of young Indian consumers for branded smartphones by analysing their individual preferences for the different features of the smartphone. This article selects thirteen features for analysis, and the respondents are asked to rate, which are further...

This paper presents failure mode and effects analysis (FMEA) of a dentistry procedure i.e. root canal treatment (RCT) The aims of the present study are as follows: (i) to identify the potential failure modes (FMs) associated with RCT and (ii) to determine the ranks of the identified FMs to...

Applications of Digital Twin technology have been growing at an exponential rate, and it is transforming the way businesses operate. In the past few years, Digital Twins leveraged vital business applications, and it is predicted that the technology will expand to more applications, use cases,...

This study aims to rank the 28 countries of the pre-Brexit European Union (EU) based on the five principal dimensions of the Digital Economy and Society Index (DESI). Instead of ranking them according to the European Commission's scoring model with arbitrary predefined weights, we use more...

We investigate the multifractal properties of daily price returns and trading volume variations in 35 cryptocurrencies by using the method of wavelet leaders prior and during the COVID-19 pandemic. The obtained results from the analysis of scaling exponent functions and multifractal spectrums...

The fourth industrial revolution is a profound transformation utilizing emerging technologies like smart automation, large-scale machine-to-machine communication, and the internet of things to change traditional manufacturing and industrial practices. The analysis of the huge amount of data...

The minimum vertex cover problem is a well-known problem in classical graph theory. It is known as one of the NP-Hard optimization problems, meaning that the best solution cannot be found within an acceptable time. Therefore, to handle this optimization problem effectively, various alternative...

This paper proposes Simultaneous Trainings of Identical Neural Networks (STNN) that aims to predict when sufficient data is not available for training neural networks (NN). While predictive applications of neural networks are growing, a common assumption in the NN algorithms is to have a...

This study presents a comprehensive analytical framework for evaluating the similarity between organizations' specific strategic directions and the United Nations' Sustainable Development Goals (SDGs). The proposed framework uses a multi-attribute decision-making method (MADM) in which...