-4d90550d17f4602e089736 20220616000225694 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Assistant Professor, Institute of Management, CHIRST (Deemed to be University) Delhi NCR, India. Jeanne Poulose* Dr Vinod Sharma Associate Professor, Institute of Management, CHIRST (Deemed to be University) Delhi NCR, India. Corporate Social Responsibility (CSR) was considered a fad by most business houses and consumers when it started. Today there has been a marginal shift mandated by the CSR law in India. It is now seen as a fee that corporate has to pay to ensure that they comply with the corporate laws. But this ensures that the bare minimum is done. To get organisations to deepen their pockets and more organisations to spend, CSR in itself must appear to be a profitable proposition. This study conducted in the national capital of India shows that consumer perceives CSR in two dimensions- as benefitting the society and benefitting corporate image. This perceived CSR is seen to influence consumer buying behaviour through the mediating influence of consumer emotions. 11 30 2019 2835 2841 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8355.118419 https://www.ijrte.org/portfolio-item/D8355118419/ Department of Management in Construction, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Galyna Ryzhakova* Dmytro Ryzhakov Department of Economics in the building industry. Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Serhiy Petrukha Department of Management in Construction, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Tetiana Ishchenko Department of Management in Construction, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Tetyana Honcharenko* Department of Information Technology, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. The article presents recent innovative technology for modeling business processes of enterprises based on process management. The paper considers the creation and justification of the updated methodological and analytical tools for assessing, selecting and regulating the production system of administration of an enterprise project portfolio in a single operating management system. The application of the process approach is based on a comprehensive, systematic review of the enterprise as a set of processes, the development of a process management system using the principles of ISO 9000: 2000. The new process approach is proposed that allows excluding routine operations from the actions of employees, increasing the speed of employee interaction, effectively optimizing existing business processes, and quickly rebuilding the enterprise’s business processes in response to significant changes in business conditions. The work identifies executable business processes, proposes a new approach to modeling the business processes of an enterprise, gives examples of problems associated with the new approach, and suggests possible ways to solve them. Criteria for the results of simulated business processes are defined that allow linking the target indicators of a balanced scorecard of the enterprise with the established results of business processes. It is proved that the use of this recent innovative technology for solving scientific and practical problems of enterprise management significantly expands and deepens the possibilities of economic analysis in the process of solving problematic situations and makes management decisions more grounded and effective. 11 30 2019 4024 4034 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8356.118419 https://www.ijrte.org/portfolio-item/D8356118419/ Research scholar, Dr. N.G.P. Institute of Technology, Coimbatore ,Tamilnadu, India. Ashwin Venkatesh V* Dr. ARUNA DEVI B Assistant Professor, Dr. N.G.P. Institute of Technology,coimbatore, Tamilnadu, India. This paper is about an automatic irrigation control system which is cost effective and can be used for irrigation by a farmer. Today’s industrial automation and controlling of machine is high in cost and not suitable for a farming field. So, here we design a smart drip irrigation technology with effective control system in low cost. The voltage monitoring unit informs the farmer about the power supply conditions on the field. The aim of this study, is to control the motor automatically, and decide the direction of the water flow through valves, based on the inputs from the farmer and also with the collective inputs from the sensors, which finally notify instantly about the happenings and conditions of the field. It operates under low hardware cost by distributing irrigation to crops by elevation change and gravity. The soil moisture and amount of flow of water in each sector are major consideration to design a fail-safe system for a variety of crops planted at a time. 11 30 2019 8077 8082 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8357.118419 https://www.ijrte.org/portfolio-item/D8357118419/ Associate Professor, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. N. Prabakaran* K. Chetan Reddy Student, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. B. Shiva Gopi Student, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. S.S.M. Pranav Student, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Counterfeit notes are one of the major issue in money transactions. In a growing country like India, it is becoming big problem for the economy. As the advances in printing and scanning technologies are developing, it is very easy for any person to print counterfeit notes with use of latest hardware machines. Identifying counterfeit notes in manual way takes a lot of time and manpower. Hence there is requirement of automation technique using which the counterfeit currency recognition process can be done effectively. Many methods have been proposed and implemented with MATLAB. By using Discrete cosine transform (DCT) algorithm blocks of the image are represented by coefficients of DCT. So, due to the presence of blocking articrafts in DCT, it is a drawback for this method. Hence, We have implemented a counterfeit note detection unit with a different algorithm which uses discrete wavelet transform (DWT) in MATLAB. This paper is another attempt on the same project to give a better solution for counterfeit currency problem. 11 30 2019 4034 4038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8359.118419 https://www.ijrte.org/portfolio-item/D8359118419/ Department of Management and Entrepreneurship Institute of Service and Entrepreneurship (branch) DSTU in the city of Shakhty, Shakhty, Russia. Marina Bugaeva* Stepan Buryakov Department of Management and Entrepreneurship Institute of Service and Entrepreneurship (branch) DSTU in the city of Shakhty, Shakhty, Russia. Ksenia Vassilieva Department of Private Law, The State University of Management, Moscow, Russia. Ekaterina Zaytseva-Savkovich Department of Public Law and Legal Support of Management, Institute of Public Administration and Law, State University of Management, Moscow, Russia. Tatyana Satsuk Head of the Department of Accounting and Audit, Emperor Alexander I St. Petersburg State Transport University, Russia. The article presents the main methods of increasing the efficiency of personnel use using motivational tools. The main task of the head of any enterprise is to inspire its employees to perform production tasks, achieve the main goals of the enterprise. In addition to incentives, bonuses, bonuses, non-material incentives for personnel are also used, which is an equally effective tool. The effectiveness of managing enterprises and organizations largely depends on the state and effectiveness of the motivation system for their employees. The formation and development of the motivational system in the enterprise will significantly reduce the level of conflict in the team, increase the level of self-organization and self-government, and, consequently, increase the overall effectiveness and profitability of the enterprise. The goals can be achieved through the formation and progressive improvement of the system of motivation for the personnel of the enterprise, focused on ensuring a high quality of working life of people, which determined the relevance of the chosen topic of work. 11 30 2019 3922 3925 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8360.118419 https://www.ijrte.org/portfolio-item/D8360118419/ Assistant Professor (S.G), School of Management, HITS, Chennai, India. Catherene Julie Aarthy.C Dr.M.K. Badrinarayanan Assistant Professor (S.G), School of Management, HITS, Chennai, India. Automated technology is revolutionizing the service industry and is a necessity in order to provide quality service. There are several ways in which hotels can incorporate the use of automated processes to improve service delivery, efficiency to customers and profit to the organization.Many areas in the hotels are explored for automation to analyze the role played by it. This study was pursued to understand the perspectives of operational heads who are implementing automation hands-on, which is important for the success of automation for enhanced service delivery through process improvement. About 30 senior executives from different categories of star hotels who handle day to day operations were selected and a semi structured questionnaire was administered. The findings indicate that there is a high prevalence of usage of function based software’s that has resulted in process improvement, customer outreach through GDS, increased revenue and enhanced service delivery. However challenges prevail in the areas like front office areas where there is a high level of personal interaction with customers. There is a positive perception about automation, but training and customization have been indicated as key for success. 11 30 2019 2842 2848 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8361.118419 https://www.ijrte.org/portfolio-item/D8361118419/ Department of Computer and Information Science, Annamalai University, Chidambaram, Cuddalore, TamilNadu, India. S. Anand Christy* Dr.R. Arunkumar Department of Computer Science and Engineering, Annamalai University, Chidambaram, Cuddalore, TamilNadu, India. Financial Crisis Prediction (FCP) being the most complicated and expected problem to be solved from the context of corporate organization, small scale to large scale industries, investors, bank organizations and government agencies, it is important to design a framework to determine a methodology that will reveal a solution for early prediction of the Financial Crisis Prediction (FCP). Earlier methods are reviewed through the various works in statistical techniques applied to solve the problem. However, it is not sufficient to predict the results with much more intelligence and automated manner. The major objective of this paper is to enhance the early prediction of Financial Crisis in any organization based on machine learning models like Multilayer Perceptron, Radial basis Function (RBF) Network, Logistic regression and Deep Learning methods and conduct a comparative analysis of them to determine the best methods for Financial Crisis Prediction (FDP). The testing is conducted with globalized benchmark datasets namely German dataset, Weislaw dataset and Polish Dataset. The testing is performed in both WEKA and Rapid Miner Framework design and obtained with accuracies and other performance measures like False Positive Rate (FPR), False Negative Rate (FNR), Precision, Recall, F-score and Kappa that would determine the best result from specific algorithm that will intelligently identify the financial crisis before it actually occurs in an organization. The results achieved the algorithms DL, MLP, LR and RBF Network with accuracies 96%, 72.10%, 75.20% and 74% on German Dataset, 91.25%, 85.83%, 83.75% and 73.75% on Weislaw dataset, 99.70%, 96.30%, 96.21% and 96.14 on Polish dataset respectively. It is evident from all the predictive results and the analytics in Rapid Miner that Deep Learning (DL) is the best classifier and performer among other machine learners and classifiers. This method will enhance the future predictions and would provide efficient solutions for financial crisis predictions. 11 30 2019 4887 4893 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8362.118419 https://www.ijrte.org/portfolio-item/D8362118419/ Professor, Rukmini Devi Institute of Advanced Studies, New Delhi, India. Anil Kumar Goyal* Dr Namita Rajput* Principal (OSD), Sri Aurobindo College (E), University of Delhi, India. In the globalised world of today there is a process of integration between the countries and one way of integrating is by trade. In this instance export led growth surfaces and arises as an imperative factor. In the related pretext works offers rich acumens regarding role of Foreign Direct Investment and economic growth. In this paper we study the causal relationship between Foreign Direct Investment (FDI) and Exports on Growth of select 30 OECD countries. As a measure of economic growth Industrial Production Index (IPI) is used in the study. To examine the relationship Augmented Dickey Fuller Test and Phillip Perron Test was employed to test the unit Root and to examine the long term equilibrium relationship and direction of causality Johansen’s cointegration test and Granger causality was used. The study reveals important cointegrating relationship between IPI and FDI and IPI and Exports in 22 and 23 sample OECD countries respectively. In Granger lead relationship between IPI and FDI three bilateral relationships were revealed in Canada, Czech Republic and Spain and 16 Unilateral relationships were revealed in the same .In granger led relationship between FDI and IPI only 9 Unilateral relationships were revealed. In IPI and Exports only one bilateral Granger lead relationship was revealed in Finland followed by 6 unilateral relationships. In granger lead relationship between Exports and IPI 16 Unilateral relationship was exhibited. Hence to achieve economic growth FDI and exports are majorly instrumental. The empirical findings suggest that OECD countries should continue the policy aimed at attracting FDI and expanding the exports sector in FDI led Growth and exports led growth. This study has some major implications in strategizing FDI and export policies for OECD region. 11 30 2019 6584 6593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8363.118419 https://www.ijrte.org/portfolio-item/D8363118419/ Candidate of Sociological Sciences Perm State University (Perm State National Research University), Russian Federation, Perm Alena Yurievna Bulatetskaya The methodological aspects of building sociological and mathematical models as tools of applied sociological research of social phenomena and processes in the conditions of the information society have been elaborated on in the article. The role of modelling method in social cognition, forms of social phenomena and processes, issues of building models of social processes, approaches to constructing their models, criteria for systematization of mathematical models of social processes have been considered. The analysis of the problem of using the modelling method in sociology has been carried out, the definition of the concept of "descriptive-information model" has been presented. The methods used to classify the use of mathematical means in sociology, including stochastic models for social processes, deterministic models for social processes, models of structure and models of human behavior, have been defined. The technology of computer modeling, which acts in modern conditions as an alternative to mathematical models in sociology, has been considered. There is a gap in mathematical and formal sociology between models and empirical analysis. A sociological and mathematical model of the process of information interaction based on fuzzy cognitive modeling has been presented, which allows to formalize and take into account the subjective characteristics of the participants of communication in social systems whose assessment has verbal expression. 11 30 2019 5462 5473 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8364.118419 https://www.ijrte.org/portfolio-item/D8364118419/ Assistant Professor, Department of Business Administration, Alpha Arts and Science college, Porur, Chennai, India. B. Eswaran* Dr.K. Anandanatarajan Associate Professor at Department of Business Administration, Annamalai University, Chidambaram, India. Spiritual Marketing Is The Ability To Articulate & Convey The Authentic Beliefs Around A Service, Product Or Brand Transparently, Consciously And With The End Users Benefit In Mind. This Study Is Related To Spiritual Marketing And Trying To Find Out The Relationship Of Temple Infrastructure With Devotees’ Spiritual Experience Who Does Darshan At Arulmigu Subramanya Swamy Temple, Kundrathur, Chennai. As The Researches Are Very Primitive In The Area Of Spiritual Marketing, The Variables Were Identified Through Literature Survey And By Conducting A Focus Group Interview With The Subject Experts, Temple Priests, Hindu Religious And Charitable Endowment Department Officials And Few Devotees. The Questionnaire Was Formulated And Pilot Study Was Conducted Using 39 Samples. Then Reliability Test Was Done Using Cronbach’s Alpha. Primary Data Was Collected From The Devotees Who Does Darshan At Arulmigu Subramanya Swamy Temple Through Simple Random Sampling For Infinite Population. Using Cochran’s Formula For Infinite Population, The Sample Size Was Determined As 384. The Primary Data Was Collected And Analysed Using Various Tests Such As Independent Sample T Test, Correlation, And Anova. Finally, Through This Research It Was Identified That Temple Infrastructure Is Not Related To The Devotees’ Overall Spiritual Experience. 11 30 2019 5697 5701 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D83651.118419 https://www.ijrte.org/portfolio-item/D8365118419/