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Journal articles on the topic 'Email-Driven Processes'

Author: Grafiati

Published: 23 November 2024

Last updated: 31 July 2025

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1

Jaiswal, Shreenarayan, Sudarshan Desai, Krishnakumar Gupta, Aniket Londhe, and Dr Radhika Nanda. "AI Saas Web Application." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43875.

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Software as a Service (SaaS) has revolutionized the way businesses manage software delivery, providing scalable, cloud-based solutions that simplify access and maintenance. This model has had a profound impact on various business functions, particularly in the areas of email marketing and AI-driven chatbots. SaaS email marketing platforms offer automated campaign management, sophisticated audience segmentation, and real-time analytics, making marketing efforts more efficient and impactful. Similarly, SaaS-powered AI chatbots utilize natural language processing to provide personalized, round-th

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Kumar, Deepak. "AI-DRIVEN AUTOMATION IN ADMINISTRATIVE PROCESSES: ENHANCING EFFICIENCY AND ACCURACY." International Journal of Engineering Science and Humanities 14, Special Issue 1 (2024): 256–65. http://dx.doi.org/10.62904/qg004437.

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This paper explores the transformative impact of AI-driven automation on administrative processes, emphasizing the dual objectives of enhancing efficiency and accuracy. Through an in-depth examination of various applications, from document management to dynamic task prioritization, the study showcases how artificial intelligence can revolutionize traditional workflows. Special attention is given to the integration of natural language processing for email triage, virtual assistants for administrative support, and facial recognition for secure access control. The implementation of predictive ana

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Ramasamy Reddy, Viswanathan, Sukham Romen Singh, Elangovan Guruva Reddy, E. Punarselvam E. Punarselvam, and T. Vengatesh T. Vengatesh. "AI-Driven Enhancement of Spam Detection in SMS and Email Using AWS Leveraging Deep Spam Model." Journal of Neonatal Surgery 14, no. 15S (2025): 1458–68. https://doi.org/10.63682/jns.v14i15s.3865.

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This study proposes a revolutionary strategy to enhance spam detection in SMS and email communications by integrating the powerful AWS cloud architecture with cutting- edge artificial intelligence (AI) approaches. The project seeks to produce a highly effective system that can discriminate between incoming messages that are spam and those that are legitimate (ham) by utilizing machine learning models that were created on the customized Amazon Sage Maker platform. The solution is deliberately developed and incorporates crucial pieces including AWS Lambda functions, Simple Email Service (SES), S

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Bhosale, Mrs. Sayli Mandar. "AI-Driven Intelligent Automation in Administration." International Journal of Advance and Applied Research 6, no. 25(A) (2025): 100–103. https://doi.org/10.5281/zenodo.15300977.

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<strong>Abstract:</strong> Integrating artificial intelligence (AI) systems into administrative procedures can revolutionize processes, and fundamentally change established forms of action and organization in administrative law, emphasizing the dual objectives of enhancing efficiency and accuracy. However, implementing AI in administrative procedures requires a comprehensive evaluation of the capabilities and limitations of different systems, including considerations of transparency and data availability. Attention is given to email management tools, virtual assistants for administrative suppo

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SALHI, Dhai Eddine, Majdi RAWASHDEH, Tariq BDAIR, and Mohammed AL ZAMIL. "Two-step email spam detection: comparing machine and deep learning accuracy." Electrotehnica, Electronica, Automatica 73, no. 2 (2025): 104–15. https://doi.org/10.46904/eea.25.73.2.1108011.

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Artificial intelligence (AI) continues to be a transformative field, offering significant contributions to data science by supporting optimal decision-making processes. One notable application of AI is in digital forensics, particularly in spam email classification. This paper presents a two-step approach to differentiate between regular and spam emails. In the first step, emails are evaluated for vulnerabilities based on three key criteria: varying time intervals between Mail Transfer Agents (MTA), the presence of binary attachments, and inconsistencies in IP addresses associated with the sam

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Chauhan, Abhishek, Saurav Kumar, Atul Kumar Karn, and Shilpa Sharma. "Role of artificial intelligence in optimizing digital marketing- An empirical study." Journal of Information and Optimization Sciences 46, no. 2 (2025): 439–51. https://doi.org/10.47974/jios-1926.

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Artificial Intelligence (AI) is a critical component of digital marketing optimisation because it allows companies to provide effective and personalised client experiences. Artificial intelligence (AI) systems examine enormous volumes of data to find trends and forecast customer behaviour, enabling focused advertising efforts. By helping to segment audiences, machine learning models make sure the appropriate message is delivered to the right person at the right moment. Artificial intelligence (AI)-driven solutions, like as chatbots, improve customer happiness and retention by instantly respond

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G. Sharmila. "Decentralized And Adaptive Blockchain Based Offline Payment System Using Hardhat and Ethereum." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 477–87. https://doi.org/10.52783/jisem.v10i44s.8614.

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The Blockchain technology is a cutting-edge advancement in information technology. Bitcoin, as one of its initial uses, has attracted considerable attention as a cryptocurrency. Alongside Ethereum, which emphasizes blockchain-driven smart contracts, these technologies lie at the heart of modern cryptocurrency innovation. Off -chain transactions offer a scalable solution for blockchain networks, reducing congestion, lowering transaction fees, and improving processing efficiency without compromising decentralization. However, existing off-chain solutions often face security and flexibility chall

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Prachi Janrao. "Optimus: Interactive Informational Chatbot." Journal of Information Systems Engineering and Management 10, no. 13s (2025): 531–35. https://doi.org/10.52783/jisem.v10i13s.2108.

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Introduction: Optimus is an interactive chatbot developed on the GPT-4 Turbo framework, which offers intelligent responses and task automation. It uses NLP combined with in-code functionalities for Google, YouTube, and Pinterest searches, along with Zapier AI-based automation to interact with third-party applications like email, Google Docs, WhatsApp, and Google Drive. It utilizes prompt engineering and request routing to provide precise and context-aware assistance. By adopting a structured back-end and well-planned development of the front-end, it aims to enhance AI-driven digital interactio

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Budi, Johanes, and Parlindungan Saragih Siallagan Manahan. "Driving Business Growth through Data Decision Making: The Role of Marketing Automation." International Journal of Current Science Research and Review 07, no. 08 (2024): 6000–6010. https://doi.org/10.5281/zenodo.13224726.

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Abstract : The business landscape has transformed significantly with the abundance of information and rapid technological advances, creating numerous opportunities for data-driven decision-making to foster company growth. This research evaluates the impact of marketing automation systems on marketing communication channels using a quantitative analysis approach with data from organizations that have implemented these systems. Marketing automation has become essential for businesses, automating repetitive tasks such as email marketing and customer segmentation. This software personalizes messag

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Fedor, Julie, and Rolf Fredheim. "“We need more clips about Putin, and lots of them:” Russia's state-commissioned online visual culture." Nationalities Papers 45, no. 2 (2017): 161–81. http://dx.doi.org/10.1080/00905992.2016.1266608.

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In this article, we examine how the Putin government is attempting to respond and adapt to the YouTube phenomenon and the vibrant oppositional online visual culture on Runet. We show how these processes are giving rise to new forms of state propaganda, shaped and driven above all by the quest for high-ranking search-engine results and the concomitant desire to appeal to the perceived new sensibilities of the Internet generation through the commissioning and production of “viral videos.” We focus in particular on the videos created by Iurii Degtiarev, a pioneer in the development of this genre,

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Dhebe, Shreyas, Harsh Dhalge, Vaishnavi Suryavanshi, and Hemangi Shinde. "Flood Monitoring and Alerting System." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (2023): 223–30. http://dx.doi.org/10.22214/ijraset.2023.55145.

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Abstract: Floods pose significant threats to communities worldwide, necessitating the development of efficient monitoring and alerting systems. This abstract presents an IoT-based Flood Monitoring and Alerting System that leverages the power of LoRaWAN (Long Range Wide Area Network) technology to provide real-time flood detection, monitoring, and timely alerts. The system consists of strategically placed water level sensors that use ultrasonic or pressure-based technology to accurately measure water levels. The sensor data is wirelessly transmitted to a central gateway through the LoRaWAN netw

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Metha, Shubham. "AI-Driven Fraud Detection: A Risk Scoring Model for Enhanced Security in Banking." Journal of Engineering Research and Reports 27, no. 3 (2025): 23–34. https://doi.org/10.9734/jerr/2025/v27i31415.

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As technology makes advancements so does the risk of accessing it for wrong doings. In recent years as we moved from traditional banking systems to online banking and the volume of digital transactions has increased eccentric. This also comes up with increasing risk of fraudulent activities like accessing bank accounts, credit card frauds, account frauds, dormant account fraud, and many others. Detecting fraud activities is and crucial part of banking system. This research explores the application of artificial intelligence (AI) in detecting potentially fraudulent activities by generating a ri

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Purushotham, P. "Eventrix: Online Event Management System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2202–8. https://doi.org/10.22214/ijraset.2025.68729.

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Eventrix is an advanced event management platform designed to streamline event hosting, registration, and participant engagement. Acting as a centralized hub, it empowers organizations, institutions, and enterprises to efficiently manage events while ensuring a seamless experience for attendees. Traditional event management systems often involve lengthy and inefficient processes, requiring users to manually input details and verify registrations, leading to delays and security concerns. To overcome these challenges, Eventrix leverages AI-powered automation, integrating voice-assisted navigatio

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P. Ahuja, Sanjay, and Naveen Mupparaju. "Performance Evaluation and Comparison of Distributed Messaging Using Message Oriented Middleware." Computer and Information Science 7, no. 4 (2014): 9. http://dx.doi.org/10.5539/cis.v7n4p9.

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Message Oriented Middleware (MOM) is an enabling technology for modern event-driven applications that are typically based on publish/subscribe communication (Eugster, 2003). Enterprises typically contain hundreds of applications operating in environments with diverse databases and operating systems. Integration of these applications is required to coordinate the business process. Unfortunately, this is no easy task. Enterprise Integration, according to the authors in (Brosey et al, 2001), "aims to connect and combines people, processes, systems, and technologies to ensure that the right people

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Rajapandian, P. "INBOX BOT: DYNAMIC SCREEN-BASED DATA EXTRACTION AND CLOUD-FREE ARCHIVING TOOL." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04498.

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ABSTRACT: This project presents a semi-intelligent system that automates the retrieval of text- based content from a web-based interface (such as Gmail or similar dashboards), processes the visual data using Optical Character Recognition (OCR), and stores it into a structured database for archiving, analytics, and reporting. The solution simulates human interaction using Python automation tools and bypasses the need for API-level access, making it adaptable to a variety of use cases such as document inboxes, web mail clients, and internal portals. The automation pipeline involves opening the w

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Bornmann, Lutz, Christian Ganser, and Alexander Tekles. "Anchoring effects in the assessment of papers: The proposal for an empirical survey of citing authors." PLOS ONE 16, no. 9 (2021): e0257307. http://dx.doi.org/10.1371/journal.pone.0257307.

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In our planned study, we shall empirically study the assessment of cited papers within the framework of the anchoring-and-adjustment heuristic. We are interested in the question whether citation decisions are (mainly) driven by the quality of cited references. The design of our study is oriented towards the study by Teplitskiy, Duede [10]. We shall undertake a survey of corresponding authors with an available email address in the Web of Science database. The authors are asked to assess the quality of papers that they cited in previous papers. Some authors will be assigned to three treatment gr

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Sankaram, Mosa, Ms Roopesh, Sasank Rasetti, and Nourin Nishat. "A COMPREHENSIVE REVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN ENHANCING CYBERSECURITY THREAT DETECTION AND RESPONSE MECHANISMS." GLOBAL MAINSTREAM JOURNAL 3, no. 5 (2024): 1–14. http://dx.doi.org/10.62304/jbedpm.v3i05.180.

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This literature review explores the transformative impact of artificial intelligence (AI) on enhancing cybersecurity measures across various domains. The study systematically examines the integration of AI in Intrusion Detection Systems (IDS), malware detection, phishing detection, threat intelligence, network security, and endpoint protection. Key findings reveal that AI-driven techniques significantly outperform traditional methods, particularly in real-time threat detection, accuracy, and adaptive response capabilities. Network-based IDS benefit from supervised and unsupervised learning alg

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Schommer, Jon C., Caroline A. Gaither, Nancy A. Alvarez, et al. "Pharmacy Workplace Wellbeing and Resilience: Themes Identified from a Hermeneutic Phenomenological Analysis with Future Recommendations." Pharmacy 10, no. 6 (2022): 158. http://dx.doi.org/10.3390/pharmacy10060158.

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This study applied a hermeneutic phenomenological approach to better understand pharmacy workplace wellbeing and resilience using respondents’ written comments along with a blend of the researchers’ understanding of the phenomenon and the published literature. Our goal was to apply this understanding to recommendations for the pharmacy workforce and corresponding future research. Data were obtained from the 2021 APhA/NASPA National State-Based Pharmacy Workplace Survey, launched in the United States in April 2021. Promotion of the online survey to pharmacy personnel was accomplished through so

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Chopra, Bhuvi. "Revolutionizing Cybersecurity with Machine Learning: A Comprehensive Review and Future Directions." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 4, no. 1 (2024): 195–207. http://dx.doi.org/10.60087/jaigs.v4i1.133.

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In the realm of computing, data science has revolutionized cybersecurity operations and technologies. The key to creating automated and intelligent security systems lies in extracting patterns or insights from cybersecurity data and building data-driven models. Data science, encompassing various scientific approaches, machine learning techniques, processes, and systems, studies real-world occurrences through data analysis. Machine learning techniques, known for their flexibility, scalability, and adaptability to new and unknown challenges, have been applied across many scientific fields. Cyber

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Windgassen, S., M. Artom, C. Norton, L. Sweeney, and R. Moss-Morris. "N02 The IBD-BOOST programme: developing a digital self-management intervention for symptoms of fatigue, pain and urgency in inflammatory bowel disease." Journal of Crohn's and Colitis 14, Supplement_1 (2020): S657—S658. http://dx.doi.org/10.1093/ecco-jcc/jjz203.986.

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Abstract Background Fatigue, pain and urgency are among the most commonly reported and burdensome symptoms of inflammatory bowel disease (IBD). A disconnect between symptoms and inflammation has been documented and medical management does not always adequately resolve symptoms. Extensive research shows the relationship between IBD symptoms and psychosocial factors. This poster describes the development of a facilitator-supported, theory-driven, tailored web-based intervention for fatigue, pain and urgency in IBD. Methods The Medical Research Council (MRC) guidance and the person-based approach

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Saketh Reddy Cheruku, (Dr.) Punit Goel, and Ujjawal Jain. "Leveraging Salesforce Analytics for Enhanced Business Intelligence." Innovative Research Thoughts 9, no. 5 (2023): 165–77. http://dx.doi.org/10.36676/irt.v9.i5.1462.

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Salesforce Analytics is a strong business intelligence (BI) solution that turns raw data into actionable insights. Today's data-driven world requires fast, reliable data analysis for business choices. Salesforce Analytics' broad range of solutions helps organizations use data for better decision-making, operational efficiency, and strategic planning. Integration of Salesforce Analytics into company processes has several benefits. First, it gives organizations real-time knowledge to adapt quickly to market developments and client requests. Organizations may track KPIs and trends using customisa

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Bharadiya, Jasmin. "Machine Learning in Cybersecurity: Techniques and Challenges." European Journal of Technology 7, no. 2 (2023): 1–14. http://dx.doi.org/10.47672/ejt.1486.

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In the computer world, data science is the force behind the recent dramatic changes in cybersecurity's operations and technologies. The secret to making a security system automated and intelligent is to extract patterns or insights related to security incidents from cybersecurity data and construct appropriate data-driven models. Data science, also known as diverse scientific approaches, machine learning techniques, processes, and systems, is the study of actual occurrences via the use of data. Due to its distinctive qualities, such as flexibility, scalability, and the capability to quickly ad

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Abraham Ayodeji Abayomi, Jeffrey Chidera Ogeawuchi, Toluwase Peter Gbenle, Oluwademilade Aderemi Agboola, and Abel Chukwuemeke Uzoka. "Advances in Project Stakeholder Communication and Transparency Using Cloud Collaboration Platforms." International Journal of Scientific Research in Science and Technology 11, no. 5 (2024): 633–52. https://doi.org/10.32628/ijsrst52310373.

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In today’s dynamic and complex project environments, effective communication and transparency among stakeholders have become critical determinants of project success. Traditional methods of stakeholder engagement such as email chains, in-person meetings, and siloed document management are often inefficient, fragmented, and prone to miscommunication. Cloud collaboration platforms have emerged as transformative tools that address these challenges by offering integrated, real-time, and accessible environments for information exchange and coordination. This explores the advances in stakeholder com

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Jha, Sumi, and Som Sekhar Bhattacharyya. "Anand Automotive Limited: leadership development process for creating strategic impact." Emerald Emerging Markets Case Studies 3, no. 3 (2013): 1–16. http://dx.doi.org/10.1108/eemcs-02-2013-0013.

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Subject area Leadership development for strategic impact in high growth export driven organization. Study level/applicability The case is suitable for second and final year students of a two year post graduate management programme (Master's level) on the following courses: leadership – on development of organization wide leadership processes; talent management – for identifying, nurturing and retaining talent in an organization and for developing leadership capabilities in managers; and strategic human resources (HR) – regarding building leadership development and talent management initiatives

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Patel, Pratish C., Ayne Adenew, Angela McKnight, Kevin Jeng, and Angelike P. Liappis. "537. Implementation of a Workflow for COVID-19 Monoclonal Antibody Infusions at a Veterans Affairs Medical Center." Open Forum Infectious Diseases 8, Supplement_1 (2021): S370. http://dx.doi.org/10.1093/ofid/ofab466.736.

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Abstract Background In the setting of the global pandemic due to COVID-19, high-risk patients with mild to moderate disease were identified as a group who would benefit from COVID-19 monoclonal antibody (mAB) treatment to mitigate progression to severe disease or hospitalization. The U.S. Food and Drug Administration (FDA), under Emergency Use Authorizations (EUA) approved multiple COVID-19 mAB therapies with specific criteria for eligibility of candidates, documentation of discussion with patients, and reporting of all errors and serious adverse events. Methods A cross discipline working grou

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Rajawat, Jatin Singh. "Understanding Millennial & Genz Buying Behaviour on Starbucks." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49630.

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ABSTRACT Title: Understanding Millennial & Gen Z Buying Behaviour: A Study on Starbucks In today’s rapidly evolving consumer landscape, brands must understand generational differences to remain relevant. Starbucks, a globally recognized coffeehouse chain, has emerged as a cultural icon—especially among younger generations. This study focuses on understanding the buying behaviour of Millennials (born 1981–1996) and Gen Z (born 1997–2012) in the context of Starbucks’ branding, product strategies, and consumer engagement initiatives. These two generational cohorts represent a significant port

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Mishra, Jagriti. "Aavaran: creating niche through contemporary traditional textiles." Emerald Emerging Markets Case Studies 3, no. 2 (2013): 1–12. http://dx.doi.org/10.1108/eemcs-aug-2012-0143.

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Subject area Marketing. Study level/applicability The case is aimed at Business Administration students. Case overview Udaipur based Aavaran – the echos of rural India – is a concept by COS-V, a leading non-governmental organization (NGO), which aims at connecting the tribal women of rural India with the mainstream. The NGO, set up in 1988 by Smt. Girija Vyas, was initially involved in imparting vocational training to the rural poor. Later, COS-V was taken up by Alka Sharma, a graduate from the Indian Institute of Crafts and Design, Jaipur, who completely changed the direction of the NGO. Her

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Faiman, Beth M., Paul Jacobsen, Amy Callahan, Still Nadia, SaraLena Panzer, and Rachid Baz. "Feasibility of Implementing Innovative Supportive Care Plans for Symptom Management in Multiple Myeloma." Blood 126, no. 23 (2015): 5620. http://dx.doi.org/10.1182/blood.v126.23.5620.5620.

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Abstract Introduction: Treatment of Multiple Myeloma (MM) is undergoing transformation. With the rapid emergence of new agents and regimens has also come new toxicities that limit their tolerability and impact patient adherence. Innovative strategies are needed to proactively screen for, assess, and manage disease- and treatment-related symptoms, and engage patients (pts) and families in their identification and self-management. To be sustainable, processes must efficiently integrated within clinical workflows. Growing attention is thus being placed on the potential of novel health information

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Kappala, Kiran Sai Nagendra, Lalitha Rajeswari Burra, Swapna Vunnam, Lakshmi Padmaja Patha, and Md Sifa Minaaj. "Smart Agriculture: AI-Driven Crop Disease Detection and Farmer Assistance." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1847–54. https://doi.org/10.22214/ijraset.2025.67701.

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Abstract: Agricultural productivity together with loss reduc- tion depends heavily on prompt disease detection methods and disease classification procedures. The solution built around the InceptionV3 deep learning model provides identification of crop diseases based on uploaded images. Users register through the platform byverifyingtheir email withOTP thentheycanupload images that trigger disease prediction with precise classifications plus given treatment recommendations. Amultilingualchatbot poweredbyAIrunsthroughPerplexity API for instant communication about crop health and disease protecti

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Hjollund, Niels Henrik I. "Fifteen Years’ Use of Patient-Reported Outcome Measures at the Group and Patient Levels: Trend Analysis." Journal of Medical Internet Research 21, no. 9 (2019): e15856. http://dx.doi.org/10.2196/15856.

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Background Since 2004, we have collected patient-reported outcome (PRO) data from several Danish patient populations for use at the group and patient levels. Objective The aim of this paper is to highlight trends during the last 15 years with respect to patient inclusion, the methods for collection of PRO data, the processing of the data, and the actual applications and use of the PRO measurements. Methods All PRO data have been collected using the AmbuFlex/WestChronic PRO system, which was developed by the author in 2004 and has been continuously updated since. The analysis of trends was base

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Heinrich, C. H., S. McCarthy, S. McHugh, G. M. Curran, and M. D. Donovan. "449 Multidisciplinary deprescribing review for frail older adults in long-term care: Development of a theory informed implementation strategy using a Delphi survey and Roundtable discussion with stakeholders." International Journal of Pharmacy Practice 31, Supplement_1 (2023): i8—i9. http://dx.doi.org/10.1093/ijpp/riad021.010.

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Abstract Introduction Deprescribing, the systematic process of stopping or altering inappropriate medicines, has been suggested as a safe, effective and appropriate process to optimise prescribing for older adults (1). There is still a lack of understanding of how best to implement sustainable deprescribing in long-term care (LTC). Aim Design a theory-driven implementation strategy, based on consensus from healthcare professionals (HCPs), to facilitate their engagement with deprescribing for frail older adults in LTC. Methods This study consisted of three phases and was designed in conjunction

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Zamora, David, and Juan Carlos Barahona. "Data-driven innovation at the Grupo Pellas SER company." Emerald Emerging Markets Case Studies 6, no. 2 (2016): 1–16. http://dx.doi.org/10.1108/eemcs-06-2015-0147.

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Subject area Management of Innovation and Technology/Management Information Systems. Study level/applicability Information Systems. Case overview SER (Sugar, Energy & Rum) was a company belonging to the Grupo Pellas Corporation. The company operated in four countries, had six subsidiaries, employed more than 25,000 people, had more than 43,500 manzanas of sugarcane crops in Nicaragua alone and had global annual sales of more than US$400m. In 2008, due to the negative effects of the crisis on the company’s business model (increasing costs due to higher prices for fuel and decreasing income

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Bedir, Cemre. "Contract Law in the Age of Big Data." European Review of Contract Law 16, no. 3 (2020): 347–65. http://dx.doi.org/10.1515/ercl-2020-0020.

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AbstractIn data-driven business models, users’ personal data is collected in order to determine the preferences of consumers and to the tailor production and advertising to these preferences. In these business models, consumers do not pay a price but provide their data, such as IP numbers, locations, and email addresses to benefit from the digital service or content. Contracts facilitate interactions between these providers and users. Their transactions are regulated by contracts in which their agreement on data use and data processing are stipulated. Data is always collected and processed thr

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Shokrollahi, Mohammad. "A Comparative Study of Organizational Culture and Organizational Behavior in Governmental and Private Real Estate Unions: Impacts on Entrepreneurial Leadership and Innovation in Iran's Real Estate Ecosystem." Journal of Futuristic studies and policy making Vol 11, no. 1 (2025): 28–55. https://doi.org/10.5281/zenodo.15579765.

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 Presenting at www.irjournals.com – A Comparative Study of Organizational Culture and Behavior in Iran's Real Estate UnionsI am excited to share that my paper, titled "A Comparative Study of Organizational Culture and Organizational Behavior in Governmental and Private Real Estate Unions: Impacts on Entrepreneurial Leadership and Innovation in Iran's Real Estate Ecosystem," has been published in the journal at www.irjournals.com. This research dives into the critical interplay between organizational culture, behavior, entrepreneurial leadership, and innovation within Iran's real est

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Mahalakshmi V. "Assessment of the Impact of Digital Marketing Strategies on Consumer Purchasing Decisions in the Present Era of AI and Social Media." Journal of Information Systems Engineering and Management 10, no. 24s (2025): 352–60. https://doi.org/10.52783/jisem.v10i24s.3908.

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This paper examines the effects of digital marketing on consumer purchasing behaviour, emphasizing aspects such as real-time interactions, customer education, AI-driven personalization, and engaging advertisements. It also highlights the role of social media engagement, e-commerce platforms, and content marketing. In this context this study aims to examine the effectiveness of various digital marketing channels, consumers' preferences for digital campaigns, and the factors that drive online interactions to translate into actual purchases. Primary data is collected through questionnaire with op

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Dr. V. Dooslin Mercy Bai, Cathrin Vinslet A, and Kirubadharshini S R. "Smart Band Enabled AI-System for Mental Health Tracking." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 183–91. https://doi.org/10.32628/ijsrset2512325.

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The paper presents the development of an AI- enabled smart band designed to continuously monitor mental wellness through the real-time analysis of three key physiological indicators: heart rate, body temperature, and movement patterns. These signals are captured by onboard sensors and transmitted wirelessly to a cloud-based platform using the ESP32/Node MCU module. The system applies AI algorithms to detect variations and correlations in the data that may indicate mental stress, fatigue, or anxiety. Elevated heart rate, abnormal temperature fluctuations, and irregular movement patterns—detecte

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Păvăloaia, Vasile-Daniel, Ionuț-Daniel Anastasiei, and Doina Fotache. "Social Media and E-mail Marketing Campaigns: Symmetry versus Convergence." Symmetry 12, no. 12 (2020): 1940. http://dx.doi.org/10.3390/sym12121940.

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Companies use social business intelligence (SBI) to identify and collect strategically significant information from a wide range of publicly available data sources, such as social media (SM). This study is an SBI-driven analysis of a company operating in the insurance sector. It underlines the contribution of SBI technology to sustainable profitability of a company by using an optimized marketing campaign on Facebook, in symmetry with a traditional e-mail campaign. Starting from a campaign on SM, the study identified a client portfolio, processed data, and applied a set of statistical methods,

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Alfianti, Sarahdillah, Lesi Hertati, Lili Syafitri, Aris Munandar, and Rum Hendarmin. "SOSIALISASI PENGEMBANGAN STRATEGI PEMASARAN DAN PENGELOLAAN UMKM POTENSI DESA PETANANG MELALUI PENINGKATAN KEMAMPUAN SUMBER DAYA MANUSIA PROGRAM KKN TEMATIK MBKM MAHASISWA UNIVERSITAS INDO GLOBAL MANDIRI." PRIMA : PORTAL RISET DAN INOVASI PENGABDIAN MASYARAKAT 1, no. 4 (2022): 153–62. http://dx.doi.org/10.55047/prima.v1i4.337.

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The natural resources produced by Petanang Village are very abundant, but the natural resources owned by Petanang Village have not been fully utilized by the community, so there is a need for guidance or assistance to the community to take advantage of the existing potential. One of them is by utilizing processed cassava / sweet potato products that are made into a food with a high selling price. Seeing the problems and potentials that exist, the village community is considered to need to know more about how to process and benefit from cassava / sweet potato so that it can increase profits or

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Blankenship, Peter, David DeLaRosa, Marc Burris, et al. "Dedicated clinical trial tissue tracking database to improve turn-around time at high-volume center." Journal of Clinical Oncology 39, no. 15_suppl (2021): 1543. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.1543.

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1543 Background: Tissue requirements in oncology clinical trials are increasingly complex due to prescreening protocols for patient selection and serial biopsies to understand molecular-level treatment effects. Novel solutions for tissue processing are necessary for timely tissue procurement. Based on these needs, we developed a Tissue Tracker (TT), a comprehensive database for study-related tissue tasks at our high-volume clinical trial center. Methods: In this Microsoft Access database, patients are assigned an ID within the TT that is associated with their name, medical record number, and s

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McLeod, M., S. Farah, K. Macaulay, et al. "Designing a continuous data-driven feedback and learning initiative to improve electronic prescribing: an interdisciplinary quality improvement study." International Journal of Pharmacy Practice 29, Supplement_1 (2021): i18—i19. http://dx.doi.org/10.1093/ijpp/riab016.023.

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Abstract Introduction The WHO Global Patient Safety Challenge aims to reduce severe avoidable medication-related harm by 50% by 2023[1]. Research suggests that providing timely, trusted feedback that incorporates relevant action can improve practice. However, a key barrier is lack of prescribing error data. Hospital electronic prescribing (EP) data may help address this gap. Aims To explore approaches for continuously monitoring medication safety signals using existing or new EP data, and to deliver personalised prescribing feedback and learning to improve patient safety. Methods We conducted

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Rajasekhar, Karanam, and Mr Zeeshan Khan. "Structural Health Monitoring Using IOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–14. http://dx.doi.org/10.55041/ijsrem36802.

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In the construction industry, maintaining structural integrity is pivotal for safety, efficiency, and economic viability. Traditional inspection methods, often sporadic and reliant on visual assessments, can overlook critical issues, especially in challenging environments where access is restricted or hazardous. The integration of IoT (Internet of Things) technology has revolutionized structural health monitoring by enabling continuous, remote data collection and analysis through sophisticated sensor networks. These networks, comprising wireless sensors strategically placed across buildings or

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Maassen, Oliver, Sebastian Fritsch, Julia Palm, et al. "Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey." Journal of Medical Internet Research 23, no. 3 (2021): e26646. http://dx.doi.org/10.2196/26646.

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Background The increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from almost all medical disciplines and in most areas of health care. While expectations for AI in medicine are high, practical implementations of AI for clinical practice are still scarce in Germany. Moreover, physicians’ requirements and expectations of AI in medicine and their opinion on the usage of anonymized patient data for clinical and biom

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Violeta, Xhomara, and Uka Ana. "Creativity in Education: Fostering Creativity in the Classroom Using Creative Teaching Methods." Beder Journal of Educational Sciences Volume 26(2) (June 22, 2023): 2–29. https://doi.org/10.5281/zenodo.8068813.

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<strong>Abstract</strong> It is essential to have an understanding that there is no one definition of creativity that is capable of encompassing all of the thoughts and discoveries related to creativity. The aim of this study is to analyze teachers’ perceptions about creativity in education in the context of Albanian schools through a questionnaire distributed to different schools around Albania. The research questions investigated in this study are as following: 1) How do teachers perceive creativity? 2) How to foster creativity in the classroom? 3) What do teachers need to grow th

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-, Prof Sangeeta Randive, and Dr Jayashri Nalkar -. "The Transformative Use of Artificial Intelligence in Augmenting Email Writing Skills in the Corporate Workplace." International Journal For Multidisciplinary Research 6, no. 5 (2024). http://dx.doi.org/10.36948/ijfmr.2024.v06i05.27843.

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Abstract The emergence of Artificial Intelligence (AI) has significantly reshaped various elements of the corporate workplace, particularly in the realm of email communication. This paper delves into the revolutionary role of AI in improving the efficiency, effectiveness, and personalization of emails within professional settings. It offers a comprehensive review of contemporary AI applications, including tools like ChatGPT, automated content creation systems, and intelligent response mechanisms, demonstrating how these technologies streamline repetitive tasks, optimize content for greater eng

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Johanes, Budi, and Manahan Parlindungan Saragih Siallagan. "Driving Business Growth through Data Decision Making: The Role of Marketing Automation." International Journal of Current Science Research and Review 07, no. 08 (2024). http://dx.doi.org/10.47191/ijcsrr/v7-i8-16.

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The business landscape has transformed significantly with the abundance of information and rapid technological advances, creating numerous opportunities for data-driven decision-making to foster company growth. This research evaluates the impact of marketing automation systems on marketing communication channels using a quantitative analysis approach with data from organizations that have implemented these systems. Marketing automation has become essential for businesses, automating repetitive tasks such as email marketing and customer segmentation. This software personalizes messages for diff

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Tigchelaar, Magda. "‘I do the peer review by myself’." Writing and Pedagogy 12, no. 2-3 (2021). http://dx.doi.org/10.1558/wap.20355.

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In response to increasing interest in Vygotskian sociocultural theory in second-language learning (Lantolf and Thorne, 2006; Swain, Kinnear, and Steinman, 2015) and the call for understanding language-learning processes in relation to contexts surrounding individuals (e.g., Polio and Williams, 2009; Ferris and Hedgcock, 2014), this study adopts a sociocultural approach – more specifically, an activity theory (Leont’ev, 1981) framework – to explore an undergraduate student’s approach to L2 writing in a preparatory writing course. Using a single case study design (Duff, 2014), I investigated how

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Gaffney, Denise, Rhendy Santosa, Alvina Mkrtumyan, et al. "Abstract WP74: Streamlined Data Management and Escalation Process for Stroke Team Performance Improvement Initiatives Using SharePoint™." Stroke 56, Suppl_1 (2025). https://doi.org/10.1161/str.56.suppl_1.wp74.

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Background: Efficient data management and escalation processes are crucial for facilitating continuous improvement initiatives. Stroke care necessitates quick identification of opportunities for improvement (OFIs) related to core measures and performance improvement initiatives (PI). This abstract presents an overview of a tailored data management and escalation process designed to enhance stroke team performance through the utilization of SharePoint™. Methods: SharePoint™ list was configured to simultaneously capture OFIs identified by the stroke team. An automated email notification system t

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Edmonds, Christopher, and Ashwini Panse. "The new world of meta finance and its yet to be tested efficiencies." Journal of Securities Operations & Custody, January 1, 2023. http://dx.doi.org/10.69554/ndza3616.

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Technology has been a long-standing catalyst for change, innovation and the emergence of new business models. As technology evolves and matures, the financial services industry revisits its current processes and capabilities to assess if leveraging more modern technologies can drive additional client and business value. There are some proposed use cases for distributed ledger technology (DLT) that propose disintermediating the entire financial industry. There is no doubt the broader financial industry agrees DLT presents an opportunity to shape the future vision of capital markets and recognis

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Gökçe, Selman. "The Rise of Advertising Websites Claims the Emergence of Digital Advertising is Leading to a Transformational Shift in the Marketing Landscape." December 7, 2023. https://doi.org/10.5281/zenodo.10278769.

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Lutjens et al. (2022) contend that the advent of digital advertising has brought about a profound shift in the marketing domain. This revolution will enable marketers to establish connections and interact with their target consumers in ways that were previously inconceivable. Traditional advertising channels such as print and television have been augmented and, in some instances, entirely replaced by digital advertising platforms. Television and print media are two instances of these methodological techniques. These channels include a range of digital marketing strategies, including search eng

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ESPINOZA, JUAN C., EMMA FRIEDMAN, ASHLEY DUNOVA, et al. "995-P: Current Gaps in CGM Data Tools and Methods." Diabetes 74, Supplement_1 (2025). https://doi.org/10.2337/db25-995-p.

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Introduction and Objective: Continuous glucose monitors (CGMs) are critical clinical tools whose use in research is rapidly expanding. We aim to understand the current state of knowledge around standard methods and tools for managing and analyzing CGM data. Methods: Literature review: We searched PubMed for articles that: 1) described a clinical trial, 2) were published in the last 5 years, 3) used CGMs to collect data, and 4) included a description of how CGM data was treated in the methods section. Surveys: We built an online survey to understand how researchers work with CGM data. A link to

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