The business ecosystem has changed drastically. Advances in information technology, access to the internet, and pervasive use of mobile phones have given a spurt to various new age businesses adopting new business models. The...
The article tried to develop a multi-item scale for analyzing CRM effectiveness (CRME) from the customer perspective in the Indian stock broking context. The results revealed that customer satisfaction could be improved through...
A two-phase diagnostic framework based on hybrid classification for the diagnosis of chronic disease is proposed. In the first phase, feature selection via ReliefF method and feature extraction via PCA method are incorporated....
Fake news detection on job advertisements has grabbed the attention of many researchers over past decade. Various classifiers such as Support Vector Machine (SVM), XGBoost Classifier and Random Forest (RF) methods are greatly...
Nowadays, Cloud Computing has become the most attractive platform, which provides anything as a Service (XaaS). Many applications may be developed and run on the cloud without worrying about platforms. It is a big challenge to...
This article explores the usage of decentralised identity (DID) management using blockchain in global organisations to support secure usage of information resources. Blockchain as technology was initially introduced as a...
It is increasingly important to reuse the wastewater conservancy facilities, which can further promote the development of agricultural economy. The basis of full investigation and research on the wastewater conservancy...
In the wake of coronavirus pandemic, social distancing became a mandate that led to the transition from traditional classroom-based lectures to computer-based learning. This paper extensively deals with the ranking of the...
Organizational change, as well as failure, downsizing, mergers, and acquisitions, necessitates tactical development initiatives in relations of easy matters. Require business activity, which necessitates a high level of employee...
The student habit of using the digital platforms can be used to compliment the traditional learning methods. Specifically, designed digital learning platform can support the learning with convenience of time, place, and pace....
The purpose of this paper is to examine smartphone users' brand loyalty decisions across and within generation cohorts, Gen Z and Millennials, based on customer value theory. The study discovers value perceptions for the...
The increase in the number of users on the internet and the advancement in information technology have spiked the generation of information to an unprecedented level making information retrieval and web mining a difficult task....
Emerging economies like India are witnessing rapid technological changes. To penetrate in the emerging markets and ensure smooth adoption of mobile wallets it is important to study the constructs that trigger mobile adoption....
The detection and description of pathological voice are the most important applications of voice profiling. Currently, techniques like laryngostroboscopy or surgical microlarynoscopy are popularly used for the diagnosis of voice...
The major benefit of using Cellular manufacturing systems (CMS) is the improvement in efficiency and reduction in the production time. In a CMS the part families and machine parts are identified to minimise the inter and...
Blockchain has evolved as one of the disruptive technologies in the landscape of business. The study aims to investigate drivers of consumer adoption of blockchain for product origin and track to trace history before making a...
The catastrophic outbreak COVID-19 has brought threat to the society and also placed severe stress on the healthcare systems worldwide. Different segments of society are contributing to their best effort to curb the spread of...
This paper presents a fractional-order framework for control of blood pressure regulation system. A new perspective is explored to control the blood pressure in lieu of the conventional control framework. A multi-variable...
A non-invasive cum robust voice pathology detection and classification architecture is proposed in the current manuscript. In place of the conventional feature-based machine learning techniques, a new architecture is proposed...
The most important application of voice profiling is pathological voice detection. Parkinson's disease is a chronic neurological degenerative disease affecting the central nervous system responsible for essentially progressive...
In the recent trends, cloud computing service users agreed on the concept of pay and use model by accessing all the best services provided by the providers. The major problem here is that there is no standardization so that not...
Outlier ensembles can enhance the performance of outlier detection algorithms. However, identification of an appropriate outlier ensemble algorithm for the given application is a difficult task. In order to achieve this...
IoT is a communal association of things or equipment that can interact with each other with the help of an internet connection. IoT services play an imperative responsibility in the industry of agriculture, which can feed 10...
Event detection at its initial stage is considerably most demanding and more importantly challenging to reduce the causes and damages. The GPS-enabled sensor nodes are possibly a solution for the location estimation, but having...
Being experiential commodities, it becomes difficult to make any judgment about hotels or attractions before their utilization. This is where the reviews provided by guests/tourists play an influential role. Therefore, it...