507 20 16488 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Anand; Akilesh, V.K.R.; Lakshmi, R.B. Title A name given to the resource Decentralized financial assets: An attraction beyond stock market investments Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived FinTech and Robotics Advancements for Green Finance and Investment;pp.251-284 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0355-0.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0355-0.ch009</a> <a href="https://www.scopus.com/pages/publications/105023560746?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023560746?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil A., Christ University, India; Akilesh V., Christ University, India; Lakshmi R.B., Christ University, India Description An account of the resource The Chapter revolves around the attraction that the blockchain-backed decentralized financial products have created in the investment market. These new-gen decentralized finances would be Defi, Metaverse coins, Stablecoins, Cryptocurrency, smart contracts, and privacy coins. The influence of social media and high internet penetration levels have made the retail and partial investors very well aware of many alternate financial investment products. Though there is an increase seen in the Stock Market investments as well a drastic increase in the alternate market is seen. In recent times major stock markets have created indexes separately. It is the icing on the cake with the highest attention of the globe. The regulations have put the Defi Assets under unpredictable volatility but the attraction towards cryptocurrency and other digital asset gain still exists. The study aims to identify the relationship between the increase in investment in the stock market and the alternative. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730357-4; 979-833730355-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Anand; Raj, M.S. Prathibha; Shankar, R. Gowri; Lakshmi, R.B. Title A name given to the resource Cultivating wellness: Synergy of emerging technologies in spiritual and wellness tourism Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Meaningful Tourism: Strategies and Future Development;pp.145-162 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83797-837-320251022" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83797-837-320251022</a> <a href="https://www.scopus.com/pages/publications/105003856467?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003856467?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil A., Christ University, India; Raj M.S.P., Christ University, India; Shankar R.G., Christ University, India; Lakshmi R.B., Christ University, India Description An account of the resource This academic analysis explores the dynamic landscape of wellness tourism from 1998 to September 2021, emphasizing the surge in scholarly publications post-2010, primarily contributed by the United States. Key findings identify major authors, significant papers, and evolving trends while acknowledging research limitations and offering recommendations. Additionally, the 2022 study highlights 10 pivotal elements enriching holistic health resorts, coupled with strategic marketing and DMO influence. A comprehensive review utilizing the PRISMA methodology reveals two significant research clusters, focusing on tourist motivations and behavior, anticipating post-pandemic research and the need for diverse data sources. Wellness tourism embodies dynamism and diversity, driven by an ever-growing yearning for well-being, relaxation, and self-care. Travelers can choose from a broad spectrum of dimensions and destinations to personalize their wellness journeys according to their unique aspirations and goals, making it an exceptionally adaptable and customized form of travel. The industry's trajectory is set for continued expansion and transformation as more individuals acknowledge the paramount importance of nurturing their holistic well-being. However, a notable research gap is identified: the incorporation of cutting-edge technologies like wearable technology, virtual reality, and artificial intelligence in wellness tourism remains underexplored. This study addresses this void by investigating the utilization of technology to craft personalized and immersive wellness experiences, its impact on traveler preferences and behavior, and its role in destination management and marketing strategies. Recognizing technology's pivotal role in wellness tourism, this study seeks to bridge the gap between traditional wellness practices and contemporary technological advancements, fostering a holistic approach to well-being in the modern era. 2025 Anand Patil, M.S. Prathibha Raj, R. Gowri Shankar and R.B. Lakshmi. All rights reserved. Subject The topic of the resource Academic analysis; Emerging technologies; Holistic; Synergy; Wellness tourism Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183797837-3; 978-183797838-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Anand; Sanwal, Neha Title A name given to the resource Impact of ESG Factors on the Financial Performance of Corporates in India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Behavioral Finance and AI Tools for Sustainability;pp.227-249 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9684-1.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9684-1.ch009</a> <a href="https://www.scopus.com/pages/publications/105021717693?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021717693?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil A., Christ University, Bangalore, India; Sanwal N., Christ University, Bangalore, India Description An account of the resource This study investigates the connection between Indian companies' financial results and Environmental, Social, and Governance (ESG) performance, with a focus on socially and environmentally sensitive industries. There is little data on the financial effects of ESG integration in developing nations like India, even though it is becoming more and more crucial for long- term value development. Using a quantitative approach involving ESG ratings and financial indicators (Return on Equity [ROE], Return on Assets [ROA], and Return on Capital Employed [ROCE]) we analyze the performance of firms from 2021 to 2023 in five different sectors. Among the pillars, environmental issues had the most significant effect on material financial success, showing a positive but weak correlation with ESG scores. However, the study also investigates into sectoral distinctions, pointing to differential financial outcomes associated with ESG across industries. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939686-5; 979-836939684-1; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Anand; Shekar, Swathi Title A name given to the resource Impact of green management on firm performance in the purview of AI and data analytics: A comprehensive review Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Green Engineering for Optimizing Firm Performance: AI and Automation for Sustainable Technologies;pp.172-194 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003626527-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003626527-8</a> <a href="https://www.scopus.com/pages/publications/105014235436?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014235436?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil A., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Shekar S., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, Karnataka, India, Jain (Deemed to Be University), Bangalore, Karnataka, India Description An account of the resource Sustainability has evolved from being a goal to a fundamental practice in the business world. Organizational survival depends on its adaptability, and innovative practices are a dire necessity for businesses to stay afloat. From this perspective, data analytics and artificial intelligence highly influence business decisions. They are elemental, have a substantial impact, and hence need to be absorbed into each aspect of organizational management. Over the years, businesses embracing green management principles have witnessed a significant impact on overall organizational performance. This study aims to provide a broad-spectrum analysis of this discipline using bibliometric analysis conducted on publications in the Scopus database over the last three decades using VOSviewer software. Multiple aspects of the discipline are tested to provide comprehensive results. The subject, citations, contributions of authors, countries, and institutions, as well as the active sources of publication, are some of the disclosures in the current study. These aspects collectively reveal the positive relationship between the adaptation of green management and firm performance through the lens of data analytics and AI. It is necessary to understand the depth of previous and ongoing advancements to propose new postulates and ideologies, which is met in this chapter. 2026 Anand Patil, Swathi Shekar. All rights reserved. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104038889-1; 978-104104034-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Ashwini P.; Hiremath, Manjunatha Title A name given to the resource Utilizing Deep Learning Features to Categorize WBCs in Blood Smear Images Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1399 LNEE;pp.327-335 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-4430-8_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4430-8_23</a> <a href="https://www.scopus.com/pages/publications/105012431540?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012431540?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil A.P., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, India, Department of Computer Applications, CMR Institute of Technology, Bengaluru, India; Hiremath M., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, India Description An account of the resource Automated categorization of white blood cells (WBCs) is essential not just to identify infections, autoimmune ailments, and blood-related disorders, but also in the pivotal decision-making process concerning patient treatment and the efficient management of diseases. In this paper, an advanced approach for WBC type classification using smear images is proposed. The VGG16 model is utilized to capture intricate features of the images, which are then provided to an XGBoost classifier. This integration enables precise classification into 5 distinct WBC types. Our model shows a significant accuracy score of 92.3%, demonstrating its capability in accurately identifying WBC types from smear images. Proposed technique provides a promising pathway for automating WBC classification, thereby enhancing efficiency in disease diagnosis and decision-making within clinical settings. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Blood smear image; Deep learning; VGG16; WBC; XGBoost Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981964429-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PHD PhD PhD Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Relation A related resource 61000438 Title A name given to the resource A Novel Approach for Sensitive Crop Disease Prediction Based on Computer Vision Techniques Subject The topic of the resource Computer Science and Engineering Description An account of the resource Agriculture is a vital sector that plays an essential role in ensuring global food security, supporting economic development, and promoting environmental sustainability. Sustainable agriculture is an essential approach that aims to address the diffculties posed by conventional farming practices and ensure the long-term viability of our food production systems. Worldwide, crop leaf diseases seriously threaten food security and agricultural production. Early and accurate detection of crop leaf diseases is essential for effective crop productivity management and food prevention. Computer vision approaches offer promising solutions for automating the identifcation and prediction of crop leaf diseases. Analyzing digital images of plant leaves enables the identifcation of disease characteristics, such as discoloration, lesions, and patterns, which are often imperceptible to the naked eye. Machine Learning (ML) algorithms, such as Convolutional Neural Networks (CNN), have been widely employed in this domain to learn from large datasets of annotated images and accurately classify leaf diseases. The process of crop leaf disease classifcation using computer vision involves several stages. Initially, highresolution images of plant leaves are acquired using cameras or mobile devices. Preprocessing techniques, including image enhancement and noise reduction, are applied to improve image quality. Subsequently, feature extraction approaches extract pertinent data from the images, including texture, shape, and color. Deep Learning (DL) models are then trained and fne-tuned using these extracted features. newlineAlthough computer vision techniques have shown effective results in the classifcation of plant diseases, however, several challenges remain. Tomatoes and Potatoes newlineare widely cultivated and consumed vegetables worldwide and are a primary economic newlinesource for many countries. These sensitive plants are prone to various diseases during newlinegrowth, leading to signifcant losses in productivity and fnancial impact on farmers. Creator An entity primarily responsible for making the resource Patil, Manoj Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Contributor An entity responsible for making contributions to the resource Manohar, M Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/621302" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/621302</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Megha Ashok; Kumar, Sunil; Kumar, Sandeep Title A name given to the resource GraCoD: a disruptive graph-aware drift detection algorithm with a GCN-based time-varying module for concept drift detection in short text streams Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal on Digital Libraries;Volume;26;Issue;4;Article No.;25; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s00799-025-00434-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00799-025-00434-8</a> <a href="https://www.scopus.com/pages/publications/105020719704?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020719704?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil M.A., Amity School of Engineering & Technology, Amity University Rajasthan, Jaipur, India; Kumar S., Amity School of Engineering & Technology, Amity University Rajasthan, Jaipur, India; Kumar S., Department of AI ML and Data Science, CHRIST University, Karnataka, Bangalore, India Description An account of the resource Detection of concept drift in time-varying short text streams has numerous challenges since the data are volatile. According to research, 30% to 40% of the traditional drift detection methods are not able to detect change of the concept in the text stream and, therefore, produce high false positives and slow response time. To address the above issues, the proposed Graph based Concept Drift Detection (GraCoD) method suggests a novel concept drift detection (CoD) framework. GraCoD uses ConvBERT with Hopfield layers and temporal convolution to capture linguistic context and temporal dependencies. The model constructs a graph representation of text data using a text GCN with Time Varying Spatio Temporal-Graph Attention Module (TVST-GAT) and uses the Graph Aware Drift Detection Algorithm (GADD) to classify the change in the graph metrics such as node centrality and edge density. The approach is more helpful and effective than the traditional approaches of detecting the occurrence of drift. To react to the detected drifts proactively, Deep Reinforcement Learning (DRL) is merged with Deep Q-Learning to automatically adapt parameters and behaviors based on the outcomes of detected drifts. The severity and classification modules detect the severity and classify the detected drifts for further investigation. The proposed model demonstrates exceptional performance in CoD across five diverse datasets: Twitter datasets 1 and 2, Enron, News 20, and Amazon Reviews. It achieves high accuracy (98.7%-99.5%) and F1-scores (96%-98%), with low false positive (0.020.04) and false negative (0.010.03) rates. The model effectively identifies 2329 drifts, with drift indicators ranging from 81.3% to 86.6%, showcasing its robustness in handling dynamic data streams across various domains. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. Subject The topic of the resource Concept drift detection; DRL; GADD; GraCoD; Hopfield layer Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 14325012; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patil, Megha Ashok; Kumar, Sunil; Kumar, Sandeep Title A name given to the resource GraphDrift-net: a dynamic graph-based framework for concept drift detection in short unstructured text streams Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived European Physical Journal Plus;Volume;140;Issue;9;Article No.;884; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1140/epjp/s13360-025-06812-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1140/epjp/s13360-025-06812-0</a> <a href="https://www.scopus.com/pages/publications/105016363023?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016363023?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil M.A., Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, India; Kumar S., Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, India; Kumar S., CHRIST University, Karnataka, Bangalore, India Description An account of the resource Detecting concept drift in text streams is challenging due to the rapid evolution of language, shifting user behavior, and temporal dependencies. Issues like data sparsity, high dimensionality, lack of labeled data, and multimodal drift further complicate real-time detection and adaptation. This paper proposes GraphDrift-net, a novel dynamic graph-based framework for detecting and adapting to concept drift in evolving text streams. The model comprise of the following components: evolving Time BERT (EvoTimeBERT), which captures temporal language evolution via historical token memory and multi-scale temporal convolutions, hierarchical temporal graph network with dynamic topics and adaptive memory (HTGN-DTAM), a heterogeneous graph neural network that dynamically constructs topic-aware graphs to track changing semantics and Chronograph Detection, a time-series-based drift detection method leveraging graph statistics such as node centrality and clustering coefficient changes. In addition, graph neural reinforcement learning framework (GNRL), a reinforcement learning-based adaptive learning module, enables model adaptability by word embedding update, memory decay rate tuning, and few-shot adaptation. Experimental evaluations over various real-world datasets, including Twitter-1, Twitter-2, Enron, and News20, demonstrate that GraphDrift-net outperforms other methods in accuracy, F1-score, and drift detection sensitivity. The model achieves accuracy as high as 99.7%, is able to identify more drift points, and is more stable with computational efficiency, making it extremely appropriate for real-time text stream applications. The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21905444; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patnaik, Manorama; Kundu, Roumo; Bareen, Firdaus; Kundu, Tannisha; Raza, Shahid; Rawani, Rajesh Title A name given to the resource Advanced Machine Learning Framework for Precision Rainfall Prediction for Jharkhand, India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity, ISAC3 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ISAC364032.2025.11156230" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISAC364032.2025.11156230</a> <a href="https://www.scopus.com/pages/publications/105018905342?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018905342?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patnaik M., Amity University Jharkhand, Amity Institute of Information Technology, Ranchi, India; Kundu R., ECT-Global VT India BLR, SAP Labs BLR, Bangalore, India; Bareen F., Amity University Jharkhand, Amity Institute of Information Technology, Ranchi, India; Kundu T., Amity University Jharkhand, Amity Institute of Information Technology, Ranchi, India; Raza S., Christ ((Deemed to Be) University, Department of Computer Science, Bangalore, India; Rawani R., Jharkhand Space Agency Centre, Ranchi, India Description An account of the resource Jharkhand, characterized by a substantial agricultural population predominantly reliant on rain-fed agriculture, faces significant challenges due to the erratic nature of precipitation. The study uses meteorological variables and historical rainfall data from the Jharkhand Space Agency Centre (JSAC) to predict rainfall with precision and resilience. Three supervised machine learning algorithms, Random Forest, K-Nearest Neighbour (KNN), and Ridge Regression, are employed to evaluate their performance across monsoon and non-monsoon periods. A novel algorithm is proposed for Jharkhand, offering better modularity and accuracy to predict the Rain Index. The results show the efficacy of these algorithms in capturing the temporal variability of rainfall in Jharkhand. The ensemble modeling model obtained an MSE score of 0.457, providing valuable insights into the viability and competence of machine learning algorithms for rainfall estimation. This research offers a valuable scope for policymakers, researchers, and stakeholders to formulate sustainable strategies to address climate variability and its impact on rain-fed agriculture. The study contributes significantly to meteorological research and offers valuable insights for policymakers, researchers, and stakeholders. 2025 IEEE. Subject The topic of the resource Crop Yield; Ensembled; Phase Expansion; Precipitation Index Prediction Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153279-6; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patni, Rishi; Raut, Shreya Title A name given to the resource Enhancing Experiences: The Integration of AI in Augmented and Virtual Reality Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Impact of AI and the Evolution of Future Ghost Kitchens;pp.197-207 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0432-8.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0432-8.ch009</a> <a href="https://www.scopus.com/pages/publications/105004542631?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004542631?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patni R., Christ University, India; Raut S., Christ University, India Description An account of the resource This chapter examines the integration of Artificial Intelligence (AI) in Augmented Reality (AR) and Virtual Reality (VR), highlighting how AI-driven innovations enhance interactivity, personalization, and real-t ime adaptation in immersive experiences. Through technologies like computer vision, machine learning, and natural language processing, AI enables AR and VR applications to better understand, respond to, and anticipate user needs. Applications of AI-augmented AR and VR are explored across various sectors, including healthcare, education, and industry, where AI-driven systems offer personalized training, virtual assistance, and adaptive simulations. As Mixed Reality (MR) evolves, edge computing plays a key role in improving performance, minimizing latency, and enabling seamless real-time interactions. The chapter also addresses ethical and technical challenges, such as privacy, bias, and processing limitations, emphasizing AIs transformative role in the future of immersive technologies. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730434-2; 979-833730432-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Customer Segmentation and Future Purchase Prediction using RFM measures Subject The topic of the resource Classification; Clustering; Customer Segmentation; E-Commerce; K-means; Machine Learning; RFM Description An account of the resource Winning in the E-Commerce business race at a competitive age like this requires proper usage of Customer data. Using that database and grouping it in similar segments in terms of spending expenditure, observation time, sex, and location so that every customer falls in a segment of characteristics. This mechanism is called Customer Segmentation. In the modern era of highly compatible technological advancements, Machine Learning Algorithms are being vastly used to bring solutions to these difficult yet essential services. In the field of research methods like simple clustering based on purchase behaviour, buyer targeting or automated customer promotion mechanism by dividing into two major categories, have been worked on. However, ensemble algorithms have come handy where different clustering algorithms are combined to deliver best segmentation. Lately combination techniques like clustering and classification mechanism have also delivered good results where, not only segmentation is done but also classification of existing and new customers are possible into the clusters. Depending on that an effective customer relationship management can really benefit the company to a huge extent. Unlike other studies where clustering was performed directly on RFM table, a different approach was taken in this study where, one dimensional clustering was done individually on Recency, Frequency, Monetary columns, then an overall score was calculated and customers were classified into three segments. However, for a new customer depending on his purchase behaviour he/she also can be classified into any of the categories. 2022 IEEE. Creator An entity primarily responsible for making the resource Patra A.; Khan R.; Vijayalakshmi S. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 753-759. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10073993" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10073993</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152194860&doi=10.1109%2FICAC3N56670.2022.10073993&partnerID=40&md5=63bae2b0707d19530ae73c969c886f34" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152194860&doi=10.1109%2fICAC3N56670.2022.10073993&partnerID=40&md5=63bae2b0707d19530ae73c969c886f34</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patra A., Christ University, Department of Data Science, Lavasa, Pune, India; Khan R., Christ University, Department of Data Science, Lavasa, Pune, India; Vijayalakshmi S., Christ University, Department of Data Science, Lavasa, Pune, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource PA1 cells containing a truncated DNA polymerase ? protein are more sensitive to gamma radiation Subject The topic of the resource DNA polymerase ?; DNA repair; Molecular docking simulation; Ovarian epithelial carcinoma; Radiotherapy Description An account of the resource Purpose: DNA polymerase ? (Pol?) acts in the base excision repair (BER) pathway. Mutations in DNA polymerase ? (Pol?) are associated with different cancers. A variant of Pol? with a 97 amino acid de-letion (Pol??), in heterozygous conditions with wild-type Pol?, was identified in sporadic ovarian tumor samples. This study aims to evaluate the gamma radiation sensitivity of Pol?? for possible target therapy in ovarian cancer treatment. Materials and Methods: Pol?? cDNA was cloned in a GFP vector and transfected in PA1 cells. Stable cells (PA1Pol??) were treated with60Co sourced gamma-ray (015 Gy) to investigate their radiation sensitivity. The affinity of Pol?? with DNA evaluated by DNA protein in silico docking experiments. Results: The result showed a statistically significant (p < 0.05) higher sensitivity towards radiation at different doses (015 Gy) and time-point (4872 hours) for PA1Pol?? cells in comparison with nor-mal PA1 cells. Ten Gy of gamma radiation was found to be the optimal dose. Significantly more PA-1Pol?? cells were killed at this dose than PA1 cells after 48 hours of treatment via an apoptotic pathway. The in silico docking experiments revealed that Pol?? has more substantial binding potential towards the dsDNA than wild-type Pol?, suggesting a possible failure of BER pathway that results in cell death. Conclusion: Our study showed that the PA1Pol?? cells were more susceptible than PA1 cells to gamma radiation. In the future, the potentiality of ionizing radiation to treat this type of cancer will be checked in animal models. 2022 The Korean Society for Radiation Oncology. Creator An entity primarily responsible for making the resource Patra A.; Nag A.; Chakraborty A.; Bhattacharyya N. Source A related resource from which the described resource is derived Radiation Oncology Journal, Vol-40, No. 1, pp. 66-78. Publisher An entity responsible for making the resource available Department of Radiation Oncology Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3857/roj.2021.00689" target="_blank" rel="noreferrer noopener">https://doi.org/10.3857/roj.2021.00689</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128481705&doi=10.3857%2Froj.2021.00689&partnerID=40&md5=9371dc5e120fbaa914bb2f931a7ed0f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128481705&doi=10.3857%2froj.2021.00689&partnerID=40&md5=9371dc5e120fbaa914bb2f931a7ed0f9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 22341900 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patra A., Department of Biotechnology, Panskura Banamali College, West Bengal, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Chakraborty A., UGC DAE, Consortium for Scientific Research, Kolkata Centre, Kolkata, India; Bhattacharyya N., Department of Biotechnology, Panskura Banamali College, West Bengal, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Patra, Subhadeep; Roy, Arko; Shinn, Seong-Ho; del Campo, Adolfo; Thudiyangal, Mithun Title A name given to the resource Kibble-Zurek scaling and spatial statistics in quenched binary Bose superfluids Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Communications Physics;Volume;9;Issue;1;Article No.;189; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s42005-026-02668-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s42005-026-02668-7</a> <a href="https://www.scopus.com/pages/publications/105040401632?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040401632?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patra S., School of Physical Sciences, Indian Institute of Technology Mandi, Mandi, India; Roy A., School of Physical Sciences, Indian Institute of Technology Mandi, Mandi, India; Shinn S.-H., Department of Physics and Materials Science, University of Luxembourg, Luxembourg, Luxembourg; del Campo A., Department of Physics and Materials Science, University of Luxembourg, Luxembourg, Luxembourg, Donostia International Physics Center, San Sebasti, Spain; Thudiyangal M., Center for Quantum Technologies and Complex Systems (CQTCS), Christ University, Bengaluru, India Description An account of the resource The emergence of order from an initially uncorrelated state across a phase transition is a central problem in quantum many-body physics, particularly in multicomponent systems where interactions between components lead to rich nonequilibrium dynamics. While defect formation is known to follow universal scaling laws, prior studies have focused mainly on defect density, leaving their spatial organization largely unexplored. Here we show that gradually tuning the chemical potential in a two-dimensional binary Bose gas drives condensation into either a miscible or immiscible phase. In the immiscible regime, domains form whose number, size, and boundary length obey Kibble-Zurek (KZ) scaling and evolve self-similarly. In the miscible regime, vortices emerge with KZ scaling. In both cases, the spatial distribution of vortices and domains is well described by a Poisson point process with KZ-determined density. These results reveal universal features of far-from-equilibrium dynamics and provide a framework to characterize stochastic geometry in multicomponent quantum systems. The Author(s) 2026. Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 23993650; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Moderating influence of critical psychological states on work engagement and personal outcomes in the telecom sector Subject The topic of the resource Critical psychological states (CPSs); Human resources management; Job characteristics model; Job diagnostic survey; Motivation; Organizational behavior; Work engagement Description An account of the resource Organizations want their employees to be engaged with their work, exhibiting proactive behavior, initiative, and responsibility for personal development. Existing literature has a dearth of studies that evaluate all the three key variables that lead to optimal employee performancecritical psychological states (CPSs), work engagement, and personal outcomes. The present study attempts to fill that gap by linking the variable CPSs (which measures experienced meaningfulness, responsibility, and knowledge of results) with the other two. The study surveyed 359 sales personnel in the Indian telecom industry and adopted standardized, valid, and reliable instruments to measure their work engagement, CPSs, and personal outcomes. Analysis was done using structural equation modeling (SEM). Findings indicated that CPSs significantly moderate the relationship between personal outcomes and work engagement. The Author(s) 2014. Creator An entity primarily responsible for making the resource Patrick H.A.; Bhat V.A. Source A related resource from which the described resource is derived SAGE Open, Vol-4, No. 2 Publisher An entity responsible for making the resource available SAGE Publications Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/2158244014538260" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/2158244014538260</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907292014&doi=10.1177%2F2158244014538260&partnerID=40&md5=bf5f34fe9c8498fa80ceae80ef677bb2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907292014&doi=10.1177%2f2158244014538260&partnerID=40&md5=bf5f34fe9c8498fa80ceae80ef677bb2</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21582440 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patrick H.A., Institute of Management, Christ University, Bangalore, Karnataka, India; Bhat V.A., Institute of Management, Christ University, Bangalore, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development and Validation of Work Environment Services Scale (WESS) Subject The topic of the resource employee motivation; organizational behavior; scale development; service sector; work environment Description An account of the resource Purpose: This study presents a nine-factor, 32-item measure of work environment scale in the service sector. A healthy work environment is one in which employees trust the people they work for, have pride in what they do, and enjoy working with the people (Levering and Moskowitz, 2004). Methodology: This instrument builds on the conceptual model espoused by Insel and Moos (1974), Gordon (1973), Fletcher and Nusbaum (2010), Amabile et al. (1996), and Spector (2003). The scale included items elicited through a literature review, the use of the Delphi technique with a panel of experts, and tested on 824 full-time employees from nine service sector industries and five major cities in India. Findings: The Work Environment Services Scale (WESS) is a reliable and valid scale useful for measuring the nine work environment factors in the Indian services organization, with its own norms and a detailed manual. Originality/Value: The prevailing scales for measuring work environment do not capture the influence of ethics, recreation facilities, and the impact of social giving on the work environment. Most scales were suitable for sectors in the Western context, and there were no Indian scales measuring service employees' perception of their work environment. 2021 Harold Andrew Patrick et al., published by Sciendo 2021. Creator An entity primarily responsible for making the resource Patrick H.A.; Kareem J. Source A related resource from which the described resource is derived Central European Management Journal, Vol-29, No. 2, pp. 89-120. Publisher An entity responsible for making the resource available Sciendo Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.7206/cemj.2658-0845.47" target="_blank" rel="noreferrer noopener">https://doi.org/10.7206/cemj.2658-0845.47</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110662491&doi=10.7206%2Fcemj.2658-0845.47&partnerID=40&md5=a721fa8729e625a903cb8e222a950eb9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110662491&doi=10.7206%2fcemj.2658-0845.47&partnerID=40&md5=a721fa8729e625a903cb8e222a950eb9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26582430 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patrick H.A., CMS Business School, Jain University, No.17, Seshadri Rd, Gandhi Nagar, 560009, India; Kareem J., School of Education, Christ University, Hosur Road, Karnataka, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Managing workplace diversity: Issues and challenges Subject The topic of the resource Discrimination; Diversity management; Inclusiveness; Stereotype; Workplace diversity Description An account of the resource Diversity management is a process intended to create and maintain a positive work environment where the similarities and differences of individuals are valued. The literature on diversity management has mostly emphasized on organization culture; its impact on diversity openness; human resource management practices; institutional environments and organizational contexts to diversity-related pressures, expectations, requirements, and incentives; perceived practices and organizational outcomes related to managing employee diversity; and several other issues. The current study examines the potential barriers to workplace diversity and suggests strategies to enhance workplace diversity and inclusiveness. It is based on a survey of 300 IT employees. The study concludes that successfully managing diversity can lead to more committed, better satisfied, better performing employees and potentially better financial performance for an organization. The Author(s) 2012. Creator An entity primarily responsible for making the resource Patrick H.A.; Kumar V.R. Source A related resource from which the described resource is derived SAGE Open, Vol-2, No. 2, pp. 1-15. Publisher An entity responsible for making the resource available SAGE Publications Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2012-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/2158244012444615" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/2158244012444615</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883254487&doi=10.1177%2F2158244012444615&partnerID=40&md5=26813dbf91c6fc42a45574d88c6d6e25" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883254487&doi=10.1177%2f2158244012444615&partnerID=40&md5=26813dbf91c6fc42a45574d88c6d6e25</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21582440 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patrick H.A., Christ University, Bangalore, Karnataka, India; Kumar V.R., Baldwin Methodist College, Bangalore, Karnataka, India https://archives.christuniversity.in/files/original/77e23fbfdf24be9d24bb97ba6c408db5.png 260dfd20bd6d726ddf81f5acc6e16ed7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Intention to Stay as a Moderator on Employee Job Satisfaction and Organizational Citizenship Behavior Subject The topic of the resource Counseling Description An account of the resource International Journal of Management Studies, Statistics & Applied Economics, Vol-2 (2), pp. 65-74. ISSN-2250-0367 Creator An entity primarily responsible for making the resource Patrick Harold Andrew and Saradha H. Publisher An entity responsible for making the resource available International Journal of Management Studies, Statistics & Applied Economics Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Commitment of Information Technology Employees in Relation to Perceived Organizational Justice Subject The topic of the resource CUIM Description An account of the resource The IUP Journal of Organizational Behaviour Vol. XI, No. 3. pp 23-40, ISSN No. 0972-687X Creator An entity primarily responsible for making the resource Patrick, Harold Andrew Publisher An entity responsible for making the resource available The IUP Journal of Organizational Behaviour Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English https://archives.christuniversity.in/files/original/1fc1fcb213d72e358895aba9c1ca5174.jpg 68364616d4b871689a336a2cdea8e6d3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Socialization tactics and new entrants adjustments in the information technology context / Subject The topic of the resource CUIM Description An account of the resource PES Business Review, Vol. 8, Issue 1, pp.19-28 ISSN No. 0973-919X Creator An entity primarily responsible for making the resource Patrick, Harold Andrew, Saradha H Publisher An entity responsible for making the resource available PES Business Review Language A language of the resource English https://archives.christuniversity.in/files/original/60ad3b152e3ddade76c91dadae9faf7b.jpg 3d4ad6c03dab3b53ac24633f52549c1c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Expression of dissatisfaction in relation to managerial leadership strategies and its impact in Iinformation technology organizations / Subject The topic of the resource Computer Science Description An account of the resource Skyline Business Journal, Vol.8, Issue 1, pp.29-35, ISSN: 1998-3425. Creator An entity primarily responsible for making the resource Patrick, Harold Andrew. Publisher An entity responsible for making the resource available Skyline Business Journal Language A language of the resource English Source A related resource from which the described resource is derived <a href="https://www.skylineuniversity.ac.ae/sbj/component/jdownloads/?task=download.send&id=61&catid=8&m=0&Itemid=183" target="_blank" title="Click Here" rel="noreferrer noopener">https://www.skylineuniversity.ac.ae/sbj/component/jdownloads/?task=download.send&id=61&catid=8&m=0&Itemid=183</a>