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Examining scientific contribution of International Journal of Productivity and Quality Management (20062019) a bibliometric study
International Journal of Productivity and Quality Management (IJPQM) is a journal of global reputation that publishes original and peer-reviewed research in the business management and accounting purview. The journal reached its 17th year of publishing in 2022. This study provides an inclusive synopsis of 720 publications using bibliometric data analysis techniques. The study emphasises the contribution of IJPQM to the academic fraternity through the analysis of publishing developments, authorship analysis, influential contributors, prominent studies published in IJPQM, nature and industry of studies. Analysis of the journal through SCImago indicators is also presented in the study. 2024 Inderscience Enterprises Ltd. -
International Journal of Logistics Systems and Management (20042020): an analytical retrospective
International Journal of Logistics Systems and Management (IJLSM) is a journal of international repute that publishes original and peer-reviewed research in the business, management, accounting, and decision sciences domain. The journal reached its 18th year of publishing in 2021. This study provides a comprehensive overview of 962 publications using the bibliometric data analysis technique. The study focuses on the contribution of IJLSM to the knowledge domain through publishing trends, authorship patterns, dominant authors, prominent articles, nature of studies, and thematic analysis. Cooccurrence of all keywords, co-authorship, citation and co-citation analysis of authors, countries, and institutions is performed through VOS viewer software. The findings of the study emphasise the relationship of IJLSM to different fields. The analysis also provides key insights into the evolution of the domain over time. 2024 Inderscience Enterprises Ltd. -
Retrospective analysis of International Journal of Procurement Management (20072021)
International Journal of Procurement Management (IJPM) is a journal of international repute that publishes original and peer-reviewed research in the business, management, and accounting domain. The journal reached its 15th year of publishing in 2021. This study provides a comprehensive overview of 456 publications using the bibliometric data analysis technique. The study focuses on the contribution of IJPM to the knowledge domain through publishing trends, authorship patterns, dominant authors, prominent articles, nature of studies, and thematic analysis. Co-occurrence of all keywords, co-authorship, citation and co-citation analysis of authors, countries, and institutions is performed through VOS Viewer software. The findings of the study emphasise the relationship of IJPM to different fields. The analysis also provides key insights into the evolution of the domain over time. Copyright 2024 Inderscience Enterprises Ltd. -
Understanding the impact of COVID-19 on the employee's productivity and performance of the hotel industries in India: An exploratory study
The covid-19 pandemic has brought unprecedented challenges and the hotel industry is amongst the other industry who was affected to a large extent, impacting various facets of well-being of the employees' working in the hotel industry. This research paper aims to comprehensively analyse the effect of the pandemic on hotel employees by investigating relationship between the impact of Covid 19, psychological impact, job satisfaction and turnover intention. We review the literature available about how the effects of Covid-19 Pandemic impact the employee job satisfaction as well as turnover intention. The study was carried out keeping the psychological impact of the pandemic as the mediator. We Reviewed and analyzed Scopus and ABDC listed research papers to carry out this literature review. Our results suggest that the covid-19 pandemic has impacted the turnover intention of the employee of the hotel industry, additionally the psychological impact mediates the relationship of Effect of Covid-19 pandemic with job satisfaction and turnover intention of employees. 2024, IGI Global. All rights reserved. -
Understanding evolution, development, and transitioning of digital financial inclusion: A bibliometric study
Different countries across the globe are trying hard to address the challenges of poverty alleviation. Various studies conducted in the past have highlighted the essence of financial inclusion in poverty alleviation. Adoption of financial inclusion acts as a major trigger for developing countries to foster economic growth as it helps in fostering saving, investment, and helps society in attaining financial independence. Economies across the globe are striving hard to accomplish sustainable development goals. The speedy compliance with SDG goals can only be realized through the adoption of ICT. Some of the SDG goals like reduced inequalities (SDG10), quality education (SDG 4), and industry innovation and infrastructure (SDG 9) cannot be attained without the adoption of technology. Effective blend of technology helps countries in achieving targets like digital financial inclusion, digital education, advanced healthcare services, green energy, and addressing other climate related issues. Financial inclusion consists of providing sufficient access to a diverse range of financial products and services. In an era of information technology, digital transformation has brought a major shift in demand and supply side of financial inclusion. In order to understand the progress of the past 23 years in digital financial inclusion, the study has conducted a systematic review and bibliometric analysis of digital financial inclusion domain. The study intends to explore the present status of digital financial inclusion, most prominent studies published in this domain, influential countries, influential authors, and collaborative tendencies between authors. Through Biblioshiny R and Vos-viewer software, the study intends to conduct temporal analysis of influential authors and countries as it helps to understand the emergence of new researchers, institutions, and countries over a time. The study also intends to explore thematic analysis of digital financial inclusion domain, influential theories derived from literature, and assessment of influential studies published for the past 23 years. In the final phase, the study intends to propose various antecedents of digital financial inclusion that have been identified through in-depth scrutiny of literature. 2024, IGI Global. All rights reserved. -
Innovative strategies for urban construction optimization in the IoT era
This abstract explores the urgent need for creative techniques to improve urban building via the lens of the Internet of Things (IoT), which is becoming increasingly prevalent in the context of broad use of IoT technologies. The Internet of Things (IoT) solutions are becoming more widespread in urban areas, which has resulted in an increase in the demand for innovative tactics that may successfully exploit technology breakthroughs in urban development. In this article, both the opportunities and the difficulties that have arisen as a result of the Internet of Things age are discussed, with a special focus placed on the necessity of rethinking the conventional paradigms that have been used in urban planning. Through the examination of cutting-edge methodology and case studies, the purpose of this article is to shed light on how cities might utilize Internet of Things technology to improve the efficiency of their infrastructure, the distribution of resources, and the delivery of public services. The core of this study is a comprehensive investigation of the dynamics of urban population and public infrastructure, which provides urban planners and policymakers with insights that can be put into a practical application. When it comes to handling the challenges of modern urbanization, these results will show to be quite beneficial in this era of the Internet of Things. 2024, IGI Global. All rights reserved. -
Impact of Adoption of Account Aggregator Framework In India
Open banking is closely associated with the Account Aggregator (AA) concept, enabling customers to securely and selectively authorise third-party providers to access their financial information. The AA framework works in tandem to protect client data while facilitating secure data transmission among authorised parties, promoting competition and innovation in the banking industry, and allowing clients to access and use financial services through various channels and platforms. Open banking can increase financial inclusion by allowing third-party developers to access customer data and construct new financial products and services on top of existing bank infrastructure. It can also encourage innovation and competition in the Indian banking sector, which would benefit customers in the long term. Open banking systems face significant challenges, such as weak security, data protection violations, money laundering, and terrorist funding risks. It is crucial to couple the widespread adoption of open banking frameworks with robust data protection and privacy legislation to safeguard customer data and financial information. India is adopting the Personal Data Protection Bill 2019, which proposes establishing a specialized. Data Protection Authority tasked with securing persons' data. Operational and cyber security hazards associated with open banking include data leaks, misuse, falsification, denial of service attacks, and infrastructure failures. To ensure compliance with these laws, financial institutions must implement mechanisms to monitor and manage risks related to open banking. The Reserve Bank of India (RBI) has developed the Data Empowerment and Protection Architecture (DEPA) to provide secure and privacy-protected access to personal data. DEPA includes data sharing agreements, consent management, and authentication for third-party developers. While unique to India, DEPA shares similarities with the European Commission's efforts to promote open banking and open finance in the European Union through the Payment Services Directive 2 (PSD2). PSD2 mandates that banks across all EU member countries provide API access to third-party payment account information and services. The study highlights the importance of perceived ease of use, trust, and utility in shaping people's attitudes and intentions towards an open banking fram ework. Interestingly, risk has a minimal impact on user adoption. This finding offers valuable insights to developers and marketers, indicating the need to prioritise user-friendly, trustworthy, and effective technologies while mitigating perceived risks to maximise adoption and customer satisfaction. This study attempts to understand better the influence of implementing the Account Aggregator Framework in India, and the sample size chosen comprised clients of the account aggregator framework in India. -
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The current status of celebrity endorsements in advertising /
In advertisements celebrity endorsements are considered a time tested successful tool. It increases recall value and positively reinforces the product in the minds of the consumer. The attributes attached to the celebrity automatically gets transferred to the product and the consumer starts to view in the product in a positive light. Casting a celebrity in advertisements does not guarantee high sales. Completely banking on a celebrity to boost sales is not a viable plan of action. -
An Application of the Caputo Fractional Domain in the Analysis of a COVID-19 Mathematical Model
Vaccination programs aimed at preventing the spread of the coronavirus appear to have a significant global impact. In this research, we have investigated a mathematical model projecting COVID-19 disease spread by considering five groups of individuals viz. vulnerable, exposed, infected, unreported, recovered, and vaccinated. Looking at the current abnormal pattern of the virus spread in the projected model, we have implemented the fractional derivative in the Mittag-Leffler context. Using the existing theory of the fractional derivative, we have examined the theoretical aspects such as the existence and uniqueness of the solutions, the existence and stability of the disease-free and endemic equilibrium points, and the global stability of the disease-free equilibrium point. In computing the basic reproduction number, we have analyzed that the existence and stability of points of equilibrium are dependent on this number. The sensitivity of the basic reproduction number is also examined. The importance of the vaccination drive is highlighted by relating it to the basic reproduction number. Finally, we have presented the simulation of the numerical results by capturing the profile of each group under the influence of the fractional derivative and investigated the impact of vaccination rate and contact rate in controlling the disease by applying the Adams-Bashforth-Moultan (ABM) method. The present research study demonstrates the importance of the vaccination campaign and the curb on individual contact by featuring a novel fractional operator in the projected model and capturing the corresponding consequence. 2024 P. Veeresha, et al. -
Dynamical analysis of fractional yellow fever virus model with efficient numerical approach
In this paper, we have projected the theoretical and numerical investigation of the mathematical model representing the yellow fever virus transmission from infected mosquitoes to humans or vise-versa through mosquito bites in the framework of the Caputo derivative. Theoretical aspects of the dynamics of susceptible individuals, exposed individuals, infected individuals, toxic infected individuals, recovered and immune individuals, and susceptible mosquitoes and infected mosquitoes have been analyzed by using the theory of fractional calculus such as boundedness, uniqueness and existence of the solutions. Sufficient conditions for the global stability of the virus-free point of equilibrium are inspected. T validate the theoretical results numerical analysis is performed using the generalized Adams-Bashforth-Moultan method. 2023, Eudoxus Press, LLC. All rights reserved. -
Dynamics of a fractional epidemiological model with disease infection in both the populations
In order to depict a situation of possible spread of infection from prey to predator, a fractional-order model is developed and its dynamics is surveyed in terms of boundedness, uniqueness, and existence of the solutions. We introduce several threshold parameters to analyze various points of equilibrium of the projected model, and in terms of these threshold parameters, we have derived some conditions for the stability of these equilibrium points. Global stability of axial, predator-extinct, and disease-free equilibrium points are investigated. Novelty of this model is that fractional derivative is incorporated in a system where susceptible predators get the infection from preys while predating as well as from infected predators and both infected preys and predators do not reproduce. The occurrences of transcritical bifurcation for the proposed model are investigated. By finding the basic reproduction number, we have investigated whether the disease will become prevalent in the environment. We have shown that the predation of more number of diseased preys allows us to eliminate the disease from the environment, otherwise the disease would have remained endemic within the prey population. We notice that the fractional-order derivative has a balancing impact and it assists in administering the co-existence among susceptible prey, infected prey, susceptible predator, and infected predator populations. Numerical computations are conducted to strengthen the theoretical findings. 2021 Author(s). -
Fractional Approach for Belousov-Zhabotinsky Reactions Model with Unified Technique
The Belousov-Zhabotinsky reaction model represents chemical oscillators that exhibit periodic vibrations as a result of complex physic-chemical phenomena. The non-linear behaviour exhibited by Belousov-Zhabotinsky model is the cause of Turing patterns, birth of spiral waves, rise of limit cycle attractors, and deterministic chaos in many chemical reaction processes. Due to these noteworthy characteristics, in this paper, we have analyzed mathematical Belousov-Zhabotinsky model by a novel numerical approach q-Homotopy analysis transformation method. To interpret new observations, we have incorporated Caputo fractional derivative in the model. The numerical result are presented graphically and concerning the absolute error of solutions. With the help of the homotopy parameter curve, we have projected the convergence region with reference to diverse values of fractional derivative. This work establishes that the projected numerical algorithm is a well-organized tool to analyze the multifaceted coupled partial differential equation representing Belousov-Zhabotinsky type reactions. 2024 NSP Natural Sciences Publishing Cor. -
Laguerre polynomial-based operational matrix of integration for solving fractional differential equations with non-singular kernel
The Atangana-Baleanu derivative and the Laguerre polynomial are used in this analysis to define a new computational technique for solving fractional differential equations. To serve this purpose, we have derived the operational matrices of fractional integration and fractional integro-differentiation via Laguerre polynomials. Using the derived operational matrices and collocation points, we reduce the fractional differential equations to a system of linear or nonlinear algebraic equations. For the error of the operational matrix of the fractional integration, an error bound is derived. To illustrate the accuracy and the reliability of the projected algorithm, numerical simulation is presented, and the nature of attained results is captured in diverse order. Finally, the achieved consequences enlighten that the solutions obtained by the proposed scheme give better convergence to the actual solution than the results available in the literature. 2021 The Author(s). -
Analysis of a Fractional Stage-Structured Model With CrowleyMartin Type Functional Response by Lagrange Polynomial Based Method
The dynamics of a stage-structured predator-prey system that replicates interactions between two densities of prey and predator populations were investigated in this work. The adult predator population and the juvenile predator are the two compartments that make up the predator population in the model. The predator relies on both prey and juvenile predator, which is another element of the paradigm that can be termed cannibalism. CrowleyMartin type functional denotes the nature of the interaction between prey and adult predators, while Holling type-I functional response denotes the nature of contact between juvenile and adult predators. The concept of memory is introduced in the form of the Caputo fractional derivative to reflect the complicated dynamics of interaction among the species. As a result, the model is able to incorporate all relevant historical information about the occurrence, from its inception to the desired time, into its calculations. We have also investigated the boundedness and existence and uniqueness of solutions to the proposed model. The condition of existence and stability of various points of equilibrium are investigated. The numerical simulations are performed by using the Lagrange polynomial-based method which is novel in the field of mathematical biology. Simulations have been accomplished to examine the significance of parameters related to cannibalism, the conversion rate from prey to adult predator, harvesting of an adult predator, and growth rate of juvenile predators on the overall behavior of the system. The noteworthy performance of the fractional operator on the anticipated predator-prey models dynamical behavior is well demonstrated by numerical results. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Dynamics of the Dadras-Momeni System in the Frame of the Caputo-Fabrizio Fractional Derivative
Investigation of chaos in dynamical systems is one of the most fascinating issues that has received a lot of attention across a variety of scientific domains. One such dynamical system which generates two, three, and four-scroll chaotic attractors with a single parameter change, is the novel Dadras-Momeni system. In this study, we have analyzed the Dadras-Momeni system in the frame of the Caputo-Fabrizio fractional derivative. Theoretical aspects such as boundedness, existence, and uniqueness of solutions are presented. A detailed analysis is presented regarding the stability of points of equilibrium. To regulate chaos in this fractional-order system with unpredictable dynamics, a sliding mode controller is developed and the global stability of the system with control law is established. Later, we introduced uncertainties and external disturbances to the controlled system, and the condition of global stability is derived. To perform numerical simulation we have identified certain values of the parameters where the system exhibits chaotic behavior. Then the theoretical claims about the influence of the controller on the system are established with the help of numerical simulations. 2023 Taylor & Francis Group, LLC. -
Unleashing economic potential: decoding the FDI-economic growth nexus in G-15 economies amidst unique host country traits
This study examined the impacts of ForeignDirectInvestment (FDI) on economic growth across top the five G-15 countries over a period of 33years, while considering the influence of key host country traits, namely macroeconomic stability, financial development, human capital, and trade openness. The selection of these variables was firmly supported by both theoretical foundations and empirical studies that highlight their significant role in shaping the FDIgrowth interconnection. Panel data derived from World Bank Indicators, spanning the period from 1989 to 2021, were analyzed using a feasible generalized least squares method (FGLS), a rigorous approach, including descriptive statistics, correlation analysis, cross-sectional dependence tests, unit root tests, and multiple regression models. By exploring the interconnection between FDI and the characteristics of the host country, this study sheds light on how these factors collectively contributed to economic growth in the G-15 economies. Descriptive statistics indicated a favorable trend in economic growth, with an average of 3.470 and a standard deviation of 4.289. Correlation analysis revealed significant positive relationships between Economic Growth and Gross Capital Formation, Human Capital, and Liquid Liabilities. Conversely, FDI, Inflation, and Trade Openness displayed insignificant positive correlations with Economic Growth. The findings also demonstrated that favorable host country traits magnified the impact of FDI on economic growth. Specifically, increased Financial Development, Human Capital, and Trade Openness enhanced the positive effects of FDI on economic growth. However, Inflation had a dampening effect on the growth factor. Policymakers in G-15 countries should give precedence to developing strong financial markets, promoting trade liberalization, and investing in human capital to optimize the advantages of FDI. This research addresses a critical gap in the literature as limited empirical work has been conducted on the FDIgrowth relationships specific to the G-15 economies, which hold substantial influence in the global investment landscape and showcase remarkable economic growth. By employing rigorous panel data methodology and a long-term dataset, we provides original insights into the interaction between FDI and host country characteristics, contributing to the existing body of knowledge. The Japan Section of the Regional Science Association International 2024. -
Calendar anomalies in the Indian stock markets: Monsoon effect
This paper deals with identifying the presence of monsoon effect in the Indian stock market using EGARCH model as well as the impact on the volatility of returns of the selected indices during the monsoon months in India. Daily time series data of closing price of four major indices i.e. Nifty 50, Nifty Smallcap 100, Nifty Midcap 100 and Nifty 500 over a period of sixteen years (April 2002 to March 2018) were collected and analysed. The results substantiate the fact that monsoon effect is present in the Indian equity market. The returns of Nifty 50 and Nifty 500 indices during the month of September were significantly higher. There was also a significant increase in the volatility during the month of September. No significant change was detected during the monsoon months for Midcap 100 and Nifty Smallcap 100. Monsoon effect was found in indices tracking top performing 50 stocks and 500 stocks listed in NSE. Hence, it can be inferred that monsoon effect is present in the Indian stock market. 2019, Allied Academies. -
An Intelligent Business Automation with Conversational Web Based Build Operate Transfer (BOT)
The field of AI chatbots with voice help capabilities has seen significant advancements recently because to the usage of NLP (Natural Language Processing), NLG (Natural Language Generation), and (DNN) Deep Neural Networks. Using the expanding skills of chatbots, which are assisted by AI and ML technologies, a variety of business challenges may be handled. Profitability is one of the most crucial features of a business. This is only achievable if top-level management is aware of the company's costs, revenues, and human resource performance. In this case, an AI-powered chatbot with voice help may be utilised to evaluate corporate data and provide a report. The Bot knows the meaning of words and responds to them thanks to the wordnet in the corpus. Corpus is basically a dictionary for ChatBot. Top management may ask the Bot anything, and the Bot will quickly undertake exploratory data analysis and create a report. The Bot first understands the data using feature selection and then performs exploratory data analysis. After the EDA technique, Bot activates the voice recognition mode to understand the question and give answers. The Bot can use a male or female voice (depending on the developer). Then BOT provides a data table and visualisations for better understanding. 2020 Copyright for this paper by its authors. -
An Intelligent Stock Market Automation with Conversational Web Based Build Operate Transfer (BOT)
Zerodha, Upstox, Angel Broking, Groww, etc. Such companies have the most significant users of traders/investors in the equity share market. Their trust is based on their ease of use, less time-consuming process, and accurate graphs and charts of real-Time data. But what if such companies had an algorithm that could predict the future prices of any share? Not just based on historical data but also on sentimental data? This project aims to build a speech recognition chatbot like Alexa Google, which will use Recurring Neural Network-Long Short-Term Memory (RNNLSTM) and Natural Language Processing (NLP) to predict future intra-day prices. 2022 IEEE.