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An empirical analysis of android permission system based on user activities
In today's world there has been an exponential growth among smart-phone users which has led to the unbridled growth of smart-phone apps available in Google play store, app store etc., In case of android application, there are many free applications for which the user need not shell out a penny to use the services. Here the magic word is "free" which entices millions of pliant people into installing those apps and giving unnecessary access to their data and device control. Current studies have shown that over 70% of the apps in market, request to gather data digressive to the most functions of apps that might cause seeping of personal data or inefficient use of mobile resources. Of late, couple of malignant applications gather unobtrusive information of the user through third-party applications by increasing their permissions to high-level on the Android Operating System. Android permission system provides, the user access to the third party apps and in return based on the permissions granted by the user, an app can access the related resource from the user's mobile. A user is bound to grant or deny permits during the installation of the application. For the most part, users don't focus on the asked permissions, or sometimes users do not understand the meaning of the permission and install the app on their device. They allow a way for attackers to perform the malicious task by demanding for more than expected set of permissions. These extra permissions permit the attacker to exploit the device and also retrieve sensitive information from it. In this research paper we describe how permission system security can create an awareness among the users that would assist them in deciding on permission grants. This improved and responsible user activities in Android OS can help the users in utilizing their device securely. 2018 Ankur Rameshbhai Khunt and P. Prabu. -
An Empirical Analysis of Factors and Variables Influencing Internet Banking among Bangalore Customers
International Journal of Research in Computer Application & Management, Vol. 2, Issue 10, pp. 143-148, ISSN No. 2231-1009 -
An empirical analysis of ICT tools with gamification for the Indian school education system
Information and communication technologies (ICTs) are used as a part of different fields, for example, training, business, and healthcare. The main objective of this paper is to introduce ICT as a better method to teach and test student's performance so it can become a part of the school curriculum and enhance learner's experience. To accomplish this objective, multiple kinds of literature were studied to get insights into the factors associated with ICT and gamification. Based on the findings, a survey was conducted on teachers to know the favourability of ICT in modern schools. Based on the response, two application prototypes are developed for students to get their performance and results that support the study. Most importantly, similar concepts were taught to students using both, traditional and ICT based approaches. A test was conducted via both methods. It was discovered that the performance of the students increased by 13% when the modern approach was followed to conduct the test. Copyright 2021 Inderscience Enterprises Ltd. -
An empirical analysis of price discovery in spot and futures market of gold in India /
Pacific Business Review International, Vol.7, Issue 10, pp.80-88 -
An empirical analysis of similarity measures for unstructured data
With fast growth in size of digital text documents over internet and digital repositories, the pools of digital document is piling up day by day. Due to this digital revolution and growth, an efficient and effective technique is required to handle such an enormous amount of data. It is extremely important to understand the documents properly to mine them. To find coherence among documents text similarity measurement pays a humongous role. The goal of similarity computation is to identify cohesion among text documents and to make the text ready for the required applications such as document organization, plagiarism detection, query matching etc. This task is one of the most fundamental task in the area of information retrieval, information extraction, document organization, plagiarism detection and text mining problems. But effectiveness of document clustering is highly dependent on this task. In this paper four similarity measures are implemented and their descriptive statistics is compared. The results are found to be satisfactory. Graphs are drawn for visualization of results. 2019 COMPUSOFT, An international journal of advanced computer technology. -
An empirical analysis of similarity measures for unstructured data /
An International Journal of Advanced Computer Technology, Vol.8, Issue 8, pp.3302-3306, ISSN No: 2320-0790. -
An empirical analysis of sustainability of public debt among BRICS nations
The main objective of this paper is to verify the sustainability of public debt among Brazil, Russia, India, China and South Africa (BRICS) in a political economy framework. Annual panel data have been used for BRICS countries from World Development Indicators of World Bank for the period 19802017 for the analysis. Bohn's sustainability framework is used to examine the sustainability of public debt in BRICS nations and verify the influence of political economic variables such as election year, coalition dummy, ideology of the government and unemployment on public debt sustainability. The results suggest that public debt sustainability is weak for BRICS as a whole. China and India have a better public debt sustainability coefficients compared to the same for Brazil, Russia and South Africa. Structural change dummy included in the model suggests that debt sustainability is severely affected after the 2008 crisis period. Political factors have influence on debt sustainability in BRICS. Electoral cycle year and coalition dummy variables adversely affect public debt sustainability in BRICS. While centrist political ideology is found to be significant and negative, left and right ideologies are not significant for debt sustainability. Since debt sustainability is found to be weak in BRICS, countries in the region need to adopt necessary measures to improve their primary balance through appropriate fiscal and debt management. Besides, it is important for the governments to prioritize fiscal prudence irrespective of their ideologies and political compulsions. 2020 John Wiley & Sons, Ltd -
An empirical analysis of the antecedents and barriers to adopting robo-advisors for investment management among Indian investors
This study aims to provide a research framework to understand the antecedents and barriers to adopting Robo-advisors for investment decision-making in India. The study employed a research model based on the extended UTAUT 2, along with three additional constructs, i.e. personal innovativeness (PI), perceived risk (PR), and technological anxiety (TA). Data collected were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with the help of SmartPLS 4.0 software. This research will help banks, wealth management service providers, FinTech companies, and Robo-advisor developers improve their platforms, offers, products, and marketing tactics for these automated advisory services. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
An Empirical Analysis of Turnaround and its Benefits to Stakeholders
International Journal of Applied Management Research, Vol-6 (1(3), pp. 470-473. ISSN-0974-8709 -
An empirical evaluation of stress and its impact on the engineering colleges faculty members in Tamil Nadu
The present study examined the specific causes, levels and effects of stress experienced by faculty members who worked in unaided private engineering and technology (UPET) colleges in the state of Tamil Nadu, India. Factor analysis and structural model were used to evaluate the relationship between the causes, subsequent effects at different level of stress and the appropriate personal and organisational stress coping strategies. Primary data were collected from 560 faculty members by employing convenience sampling method during the academic year 20172018. The study revealed that causes of stress influencing considerably the level of stress and the level of stress explained the high influence on the effect of stress variables. Both effects of stress and causes of stress were negatively influencing the stress coping strategies of personal as well as organisational level strategies. Copyright 2020 Inderscience Enterprises Ltd. -
An Empirical Evaluation of the Relationship Between Economic Growth, Population and Solid Waste Generation in India
Municipal solid waste (MSW) poses a hazard to the environment, human health and well-being and economic growth, if not managed correctly.It is essential to study the determinants of municipal solid waste generation for efficient waste management planning and achieving sustainable growth.The main objective of this paper is to establish a relationship between economic growth, population and MSW generation.Secondly, it aims to verify whether the environmental Kuznets curve (EKC) hypothesis is valid in the Indian context with MSW generation as the proxy variable for environmental degradation.Panel regression has been run using statewise data of MSW generation, state net domestic product (SNDP) per capita and population for the years 2000-2019.The results show a significant positive relationship between the selected variables.Least square regression was applied to verify the validity of the environmental Kuznets curve (EKC) hypothesis in India using nationwide data for MSW generation and GDP per capita for the years mentioned above.The results depicted inverted U-shaped curve with MSW as the dependent variable and GDP per capita as the independent variable and confirmed the validity of the EKC hypothesis. 2022 Scientific Publishers. All rights reserved. -
An Empirical Framework Using Weighted Feed Forward Neural Network for Supply Chain Resilience (SCR) Strategy Selection
Artificial intelligence (AI)-based systems are normally data driven applications, where the model is trained to think on its own based on the external circumstances. The power of AI has reached every facet of business and common life and is even being largely explored to be adopted in life sciences and medical domains. It supports the human in decision-making through the cognitive utilities which arises out of self-learning capabilities of a model. With the exponential growth of data, supply chain management and analytics have attracted a large community of researchers to build intelligent systems which can lead to re-invention of data-driven decision systems powered by AI. Systems and literature of the past shows that AI-based technologies are promising in intelligent supply chain management (SCM) and building resilient SCMs. There is a gap in literature which addresses on the framework for decision support systems in SCM and application of AI methods for building a robust supply chain resilience (SCR) leading to more exploration on the topic. In this paper, a decision framework is proposed by incorporating fuzzy logic and recurrent neural networks (RNN) for disclosing the patterns of various AI-enabled techniques for SCRs. The proposed analysis involved data from leading literatures to determine the most adoptable and significant applications of AI in SCRs. The analysis shows that techniques such as fuzzy programing, network based algorithms, and genetic algorithms have large impact on building SCRs. The results help in decision-making by exhibiting an integrated framework which can help the AI practitioners for developing SCRs. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
An empirical investigation of foreign direct investment and economic growth in SAARC nations
Purpose This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries. Design/methodology/approach Johansen's cointegration test was employed to examine the long?run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970?2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one?unit shock to the log of gross domestic product (LGDP) and vice versa. Findings The Johansen cointegration result establishes a long?run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long?run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one?way long?run causal link from GDP to FDI for India. Research limitations/implications This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI?growth relationship further by using quarterly data. Practical implications The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long?term FDI inflows. Originality/value This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies. 2011, Emerald Group Publishing Limited -
An Empirical Model for Geopolymer Reactions Involving Fly Ash and GGBS
Numerous works are reported in literature regarding the enhancement of compressive strength of fly ash-GGBS geopolymer combinations with addition of alkali activators of varying concentrations. However, a limited study has been chronicled, revealing the specific role of alkali or alkaline earth contributed by the fly ash-GGBS combinations on the compressive strength development. It is well known that the strength of a geopolymer is dependent on gel formation from Al/Si ratio, Ca/Si ratio, and Ca/(Si + Al) ratio but their exact role when cured for various extended periods is unknown as yet. In the present study, alkali concentration in a fly ash-GGBS geopolymer combination was varied from 6 M to 12 M with increments of two mol in six different fly ash-GGBS combinations with a minimum of 20 percent and a maximum of 70 percent GGBS. The correlation coefficients between compressive strength and Al/Si, Ca/Si, and Ca/(Si + Al) ratios exhibited values higher than 0.95 taken individually. Multiple linear regression analysis with compressive strength (as dependent parameter) and individual values of Al/Si, Ca/Si, and Ca/(Si + Al) ratios (as independent parameters) was effectuated. It was observed that, depending on the composition, the compressive strength circumstantiated a changeover from Ca/Si to Ca/(Si + Al) ratio in the intermediate composition range. Such a detailed analysis is considered supportive of developing a suitable composition which will provide the optimum compressive strength of the combination. 2022 Beulah M et al. -
An Empirical Study on announcement effects of right issues on share price volatility and liquidity and its impact on market wealth creation of informed investors in Bangalore with special reference to CNX Nifty Stocks of NSE
Excel International Journal of Multidisciplinary Management Studies Vol. 2, No. 7, pp 41-58, ISSN No. 0972-687X -
An Empirical Study on Gold ETF Volatility - Evidence From Indian Market
Zenith International Journal of Business Economics & Management Research, Vol-3 (7), pp. 223-232. ISSN-2249-8826 -
An empirical study on impact of changes in macro economic variables on bond yield curve - Evidence from Indian corporate bond market /
Research Journal Of Finance And Accounting, Vol.6, Issue 11, pp.396-403, ISSN No: 2222-2847 (Online) 2222-1697 (Print) -
An Empirical study on price pressure and liquidity effect of stock split announcement- Evidence from Indian Market
International Journal of Marketing and Technology Vol.3,No.1,pp.138-156 ISSN No. 2249-1058 -
An Empirical Study on Stochastic Volatility - Evidence From Indian Commodity Future Market
Asian Journal of Research in Business Economics and Management, Vol-3 (8), pp. 39-46. ISSN-2249-7307 -
An empirical study on the clients perspective in decision making with regard to lawyer selection for trial courts: Does grey hair matter?
In higher courts, statutory interpretation and persuasion of the court with new perspectives on legal principles are critical. Whereas, the main focus of the subordinate courts is on evidential underpinnings. Hence, the lawyers in all courts are an indispensable part of the judicial process and play a seminal role in the dispensation of justice. The existing literature demonstrates that engaging a senior lawyer increases the chances of winning cases. However, young lawyers today make their mark by establishing their own offices, succeeding in the profession, while some remain the dark horses of their incumbent seniors. Against this backdrop, the authors explore the clients perception of the lawyer selection process and the significance of lawyers age using a mixed methods approach. The data for this study was gathered from trial court clients using a convenient sampling method. The qualitative data were collected by conducting semi-structured interviews with clients. Interviews were analysed at a thematic level and broad themes were identified and used as constructs for a quantitative survey questionnaire. The quantitative data were analysed through Pearson correlation, regression analysis, and factor analysis. The study determined that lawyers efficiency is a key factor considered by trial court clients in selecting their lawyers. The results also revealed that there exists a significant positive correlation between the age of the lawyer and the clients decision making when choosing their lawyers. In the end, the implications of the findings are discussed. 2022, The Author(s), under exclusive licence to O.P. Jindal Global University (JGU).