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A Study on the Influence of Personality Traits on Entrepreneurial intentio
Pacific Business Review International, Vol. 9, Issue 5. pp. 12-19, ISSN No. 0974-438X -
A Study on the Influence of personality traits on entrepreneurial intention among working professionals in the Indian technical organizations
Pacific Business Review International, Vol. 9, Issue 5, pp. 12-19, ISSN 097X-438X -
A study on the influence of sustainability related factors on the online purchase decisions of customers
The e-commerce business is growing at a tremendous rate in India. More and more customers prefer to buy for the online website due to the discounts, ease of purchase and the larger variety of products available. The e-retail companies majorly use discounts as major attraction to gain more customers. In this process of trying to increase the market share the sustainability factors are not given importance in various ways. This research paper tries to find if customers give importance to sustainability related factors and if these factors can be advertised by the e-retailers. The paper tries to find if this will have an impact on the customer purchase decisions from the e retailers. Then the e-retailers will have to have a different business strategy with sustainability factors included to attract more customers. 2019 SERSC. -
A study on the invariant intersection graph of a graph
Analyzing the structure of the automorphism groups of graphs, and investigating the properties of graphs that are constructed from algebraic structures are two important research topics in algebraic graph theory. Blending these two aspects of study, an algebraic intersection graph, called the invariant intersection graph of a graph, has been introduced in the literature. In this paper, we study certain properties of the invariant intersection graphs of graphs, and obtain some structural characterizations of these graphs, based on the automorphism group of the graph on which the invariant intersection graph is constructed. 2026 World Scientific Publishing Company. -
A study on the relationship between internal branding and affective commitment of customer contact employees in multi-brand retail stores in Bangalore /
International Journal of Business and Administration Research, Vol.1, Issue 7, pp.189-197, ISSN No: 2348-0653. -
A study on the relationship between personality traits and job satisfaction of nurses
Human resource development in nursing involves training, continuing education, and mentorship to enhance nurses' skills and knowledge. By investing in the professional development of nurses, human resource development contributes to improved patient care, and employee satisfaction. The present study was carried out to examine the relationship between personality traits and job satisfaction of nurses and to find out whether there are any differences based on marital status. The data was collected from 92 nurses from five hospitals in Kerala and Karnataka states. Tools used for data collection were the Job satisfaction scale and the Big Five Personality Inventory. The data was analyzed using a t- test and correlation. Results of the study indicated that job satisfaction shows no significant differences based on marital status. The personality trait conscientiousness positively correlated with job satisfaction. Implementing Human resources development (HRD) practices in nursing significantly impacts nurses' job satisfaction, contributing to hospitals' performance excellence. 2025, IGI Global Scientific Publishing. All rights reserved. -
A study on the restrained domination number in diverse families of derived signed graphs
A derived graph is obtained by applying a specific graph operation to a given graph G. A set D of vertices in a signed graph ? is a restrained dominating set of ? if D is a restrained dominating set of the underlying graph |?|, and every cycle formed by the edges connecting D to V \D and those within V \D is balanced. The restrained domination number ?r(?) is the minimum cardinality of a restrained dominating set of ?. In this paper, we establish results on the restrained domination number for derived signed graphs, including line signed graphs, semi-total point signed graphs, semi-total line signed graphs, and total signed graphs and we also examine their structural properties in relation to their restrained domination number. 2025 World Scientific Publishing Company. -
A Study on the Role of Tea Tourism in Assam
Tourism Development Journal Vol. 10, Issue 1, pp. 1-14, ISSN No. 0975-7376 -
A Study on the Selection of Features, Classifiers, and Resampling in Plant Disease Detection from Leaf Images
Computer vision has become an integral part of modern agriculture. One of the key applications of computer vision is the automatic detection and classification of plant disease from digital images of plant leaves. In this study, we evaluate the discriminatory capability of selected texture features in identifying plant diseases from leaf images. Texture features are extracted from resized raw images. Experiments are carried out with public data sets of five different plants. Through extensive experimentation, two classifiersRandom forest and XGBoost are chosen for the evaluation. The class imbalance problem is addressed with a simple resampling. Resampling considerably improves the prediction accuracy. With the raw input images, the best feature as well as classifier depends on the plant type and the quality of the input images. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
A study on the self-concept of teachers working in government, aided and unaided colleges in Bangalore
The IUP Journal of Organizational Behavior, Vol-13(1), pp. 60-70. ISSN-0972-687X -
A Study on the Stability of DarcyBrinkmanBard Convection in a Binary Fluid-Saturated Porous Medium: RigidRigid Boundaries
The linear stability analysis of DarcyBrinkmanBard convection (DBBC) in a binary fluid-saturated porous layer is studied numerically using n term Galerkin approach for rigidrigid, isothermal boundaries. The occupied binary fluid and porous medium are assumed to be in thermal non-equilibrium. Thus, two energy equations are used for each phase. The critical values of the DarcyRayleigh and wave numbers for theonset of convectionare obtained by considering ten terms in the Galerkin solution. The effect of the five parameters of the model, namely the Darcy number, Da, the modified ratio of thermal conductivity ?, theLewis number Le, theseparation ratio coefficient, ?, and the inter-phase heat transfer coefficient, H, on the stability of the system is discussed in detail and presented with the aid of plots and tables. The onset of convection in a binary fluid-saturated porous medium is delayed for realistic boundary conditions compared with ideal boundary conditions (stress-free, isothermal boundary conditions). Increasing the values of theDarcy number, inter-phase heat transfer coefficient, and the separation ratio coefficient stabilizes DBBC. In contrast, the thermal conductivity ratioand Lewis number aredestabilize the system. Furthermore, convective cell size remains unaltered with increasing ?. Convection is delayed in thepure fluid medium compared to thebinary fluid medium. Local thermal non-equilibrium ceases for small and large inter-phase heat transfer coefficient values. The Author(s), under exclusive licence to Springer Nature B.V. 2025. -
A study on the weak form efficiency of metals & mining sector in bse
This study has been conducted to observe whether the weak form of efficiency holds true when the Metals & Mining sector is examined for the same. Data is collected for a 5 year period which ranges from 1st April 2014 to 31st March 2019. A total of 1232 observations have been taken from the three selected companies of the Metals & Mining sector of the BSE, namely, Coal India Ltd, Hindustan Zinc Ltd and JSW Steel Ltd. Jarque-Bera test is used to check whether the data is normally distributed or not. Augmented Dickey Fuller test has been used to establish whether the data series possesses stationarity or not. Finally Runs test and Autocorrelation tests are used to check whether the Metals & Mining sector of BSE is weak form efficient or not through the three representative companies. Upon analyzing the data through Runs Test, except for JSW Steel Ltd, the other two companies are identified to contain randomness in their data series. Autocorrelation test also suggests that the future stock prices can be predicted only to a minimal extent for the three representative companies. Based on the derived results, it is concluded that the Metals & Mining sector of BSE does not contain any statistical dependencies between its past and future stock prices and it is found to be weak form efficient. 2021, Badebio Biotechnololgy Ltd. All rights reserved. -
A STUDY ON UPPER DEG-CENTRIC GRAPHS
The upper deg-centric graph of a simple, connected graph G, denoted by Gud, is a graph constructed from G such that V (Gud) = V (G) and E(Gud) = {vivj : dG(vi, vj) ? degG(vi)}. This paper introduces and discusses the concepts of upper deg-centric graphs and iterated upper deg-centrication of a graph. I??k University, Department of Mathematics, 2025; all rights reserved. -
A Study on Wear Behavior of Al7075, Boron Fiber and Silica Particle Reinforced HMMC
The purpose of this work is to ascertain development and wear characteristics of hybrid aluminum composites (Al7075) reinforced with silica particles and boron fiber, which could lead to application within high-performance applications. Hybrid composites fabricated by using the liquid metallurgy. Silica content was varied at 0%, 2%, 4%, and 6% by weight, while the boron fibers were used at 1%, 3%, 5%, and 7% by weight. The dry sliding conditions wear tests were executed with the following parameters: load (1040 N) & sliding velocity (0.52.0m/s). Results showed that the composites with 4% silica and 5% boron fibre revealed a 28% decrease in wear loss at 10 N compared to Al7075, indicating a maximum improvement in wear resistance. By performing statistical analysis with ANOVA, the loads were found to be the major contributor of 48.02% to wear loss, followed by silica content and sliding velocity as 24.91% and 22.38%, respectively. SEM confirmed uniform dispersion of reinforcement, very low porosity, and good interfacial bonding. It is observed that hybrid Al7075 composites exhibit enhanced strength and wear resistance, thus well suited for severe applications requiring light weight, tough materials. The Institution of Engineers (India) 2025. -
A Study on Women Consumers' Preferences Towards Visual Media (With Reference to Chennai City)
Journal of Business Management & Social Sciences Research, Vol-1 (3), pp. 38-49. ISSN-2319-5614 -
A succinct analysis for deep learning in deep vision and its applications
Introduction: Deep learning methodologies can achieve forefront results on testing deep vision issues, for instance, picture portrayal, an object area, face affirmation, Natural Language Processing, Visual Data Processing and online life examination. ConvNet, Stochastic Hopfield network with hidden units, generative graphical model and sort of artificial neural network castoff to absorb competent information coding in an unproven way are deep learning plans used in deep vision issues. Objection: This paper gives a succinct survey of without a doubt the most critical Deep learning structures. Deep vision assignments, for instance, object revelation, face affirmation, Natural Language Processing, Visual Data Processing, web-based life examination and their utilization of this task are discussed with a short record of the historic structure, central focuses and impairments. Future headings in arranging Deep learning structures for Deep vision issues and the troubles included are analysed. Method: This paper consists of surveys. In Section two, Deep Learning Approaches and Changes are audited. In section three, we tend to portray the uses of Applications of deep learning in deep vision. In Section four, Deep learning challenges and directions are mentioned. At long last, Section five completes the paper with an outline of the results. Results and Conclusion: Though deep learning can recall a huge proportion of data and info, its feeble cognitive and perception of the data makes it a disclosure answer for certain applications. Deep learning despite everything encounters issues in showing various erratic facts modalities at the equal period. Multimodal profound learning is an extra notable heading in progressing deep learning research. IJCRR. -
A Survey Instrument for Ranking of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs
Bioinfo Business Economics, Vol-1 (1), pp. 06-12. ISSN-2249-1775 -
A survey of blockchain: concepts, applications and challenges
With the development of Bitcoin, organisations, be it businesses or institutions, are centring on leveraging Bitcoins blockchain technology to non-monetary based applications to improve efficiency of the activities. Having various benefits like anonymity, decentralised, audibility etc. Blockchain technology can be vastly implemented in various sectors other than financial too. This paper gives an overview the blockchain technology. It briefs about various technical concepts used in the blockchain, its types and where it can be used. It also discusses some proposed applications of the technology and tools or frameworks that can be used to develop such. It also presents the limitations of the technology. Copyright 2023 Inderscience Enterprises Ltd. -
A Survey of Sentiment Analysis from Social Media Data
In the current era of automation, machines are constantly being channelized to provide accurate interpretations of what people express on social media. The human race nowadays is submerged in the idea of what and how people think and the decisions taken thereafter are mostly based on the drift of the masses on social platforms. This article provides a multifaceted insight into the evolution of sentiment analysis into the limelight through the sudden explosion of plethora of data on the internet. This article also addresses the process of capturing data from social media over the years along with the similarity detection based on similar choices of the users in social networks. The techniques of communalizing user data have also been surveyed in this article. Data, in its different forms, have also been analyzed and presented as a part of survey in this article. Other than this, the methods of evaluating sentiments have been studied, categorized, and compared, and the limitations exposed in the hope that this shall provide scope for better research in the future. 2014 IEEE.