153 20 16481 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 Mopuru, Bhargavi; Sinha, Anurag; Agrawal, Ankita; Nandan, Amritesh; Agarwal, Ankit; Nikitha, Peddi; Sharma, Vandana; Anand, Ankit; Keskin, Do?an; Kumar, Biresh; Jha, Pooja Title A name given to the resource Improved Indian currency recognition: neighbourhood-centred image processing and CNNs with region of pixel selection techniques 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 of Services, Economics and Management;Volume;16;Issue;2026-05-04 00:00:00;pp.482-516 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJSEM.2025.148476" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJSEM.2025.148476</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105015973816?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015973816?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 Mopuru B., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, 520002, India; Sinha A., Department of Computer Science, IGNOU, India; Agrawal A., Department of Commerce, Indian Institute of Management Kozhikode Kerala, Kozhikode, India; Nandan A., Department of Computer Science, Graphic Era (Deemed to be University), Uttarakhand, 248002, India; Agarwal A., Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, Virudhunagar, India; Nikitha P., Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, Virudhunagar, India; Sharma V., Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, India; Anand A., Department of Computer Science, Amity University, Jharkhand, India; Keskin D., Department of Computer Science, Turkish German University, Istanbul, Turkey; Kumar B., Department of Information Technology, Amity University Jharkhand, Ranchi, India; Jha P., Department of Information Technology, Amity University Jharkhand, Ranchi, India Description An account of the resource The paper proposes an improved approach for Indian currency recognition using neighbourhood-centred image processing and convolutional neural networks (CNNs) with region of pixel selection techniques. The method includes image pre-processing steps such as noise reduction, contrast enhancement, and resizing. A neighbourhood-centred image processing technique is applied to capture contextual information from local neighbourhoods around each pixel. A CNN-based model is then trained on the pre-processed images to learn discriminative features for currency recognition. To enhance accuracy and efficiency, a region of pixel selection technique is introduced to select only relevant regions of interest for CNN training and inference, reducing computational overhead. Experimental results demonstrate the effectiveness of the proposed approach, achieving high accuracy in currency recognition and improved efficiency in terms of computational time and memory requirements. The proposed method has potential applications in automated cash-handling machines, vending machines, and mobile payment systems where reliable currency recognition is essential. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource CNN; currency recognition; decision boundary; features; image processing; image processing; RGB; threshold Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17530822; 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 Supriya, R.; Balaji, Vaishnavi; Priya, A. Shakti; Manigandan, R.; Parthasarathi, N. Title A name given to the resource Eco-market dynamics: deciphering Indias agricultural pricing in the context of carbon emissions and inflation 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 of Revenue Management;Volume;15;Issue;2026-04-03 00:00:00;pp.179-215 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJRM.2025.149684" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJRM.2025.149684</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021843636?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021843636?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 Supriya R., School of Business and Management, Christ University, Yeshwanthpur Campus, Bangalore, India; Balaji V., Department of Management Studies, Dayananda Sagar College of Engineering, VTU, Bangalore, MBA, India; Priya A.S., VIT Business School, Vellore Institute of Technology, Tamilnadu, Vellore, 632 014, India; Manigandan R., Faculty of Management, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India; Parthasarathi N., School of Commerce and Management Studies (SCMS), Dayananda Sagar University, Devarakaggalahalli, Bengaluru South Dt, Harohalli, 562 112, India Description An account of the resource This study explores the intricate relationship between carbon emissions, agricultural commodity prices, and inflation in India. Using monthly data from January 2014 to March 2022 and structural vector auto regression (SVAR) modelling, the analysis reveals diverse dynamics among key; commodities. An inverse relationship is found between wheat prices and inflation, suggesting consumer benefits. Turmeric shows a strong negative correlation, indicating unique market behaviour, while refined soybean oil and cotton prices exhibit minimal negative impacts. In contrast, crude palm oil prices positively influence inflation. A noteworthy finding is the negative correlation between carbon emissions and inflation, highlighting the environmental-economic linkage. These insights enhance understanding of how specific agricultural prices interact with inflation, and how environmental variables play a role. The findings can guide evidence-based policies for agricultural stability, environmental sustainability, and economic growth in India. The implications extend globally, offering valuable insights for developing economies facing similar challenges. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource agricultural commodity prices; agricultural stability; carbon emissions; economic prosperity; environmental sustainability; India; inflation Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14747332; 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 Mukku, Lalasa; Thomas, Jyothi Title A name given to the resource AMAA-GMM: adaptive Mexican axolotl algorithm based enhanced Gaussian mixture model to segment the cervigram images 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 International Journal of Reasoning-based Intelligent Systems;Volume;18;Issue;1;pp.33-40 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJRIS.2026.150612" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJRIS.2026.150612</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025190162?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025190162?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 Mukku L., CHRIST (Deemed to be University), Kanmanike, Kumbalgodu, Mysore Road, Karnataka, Bangalore, 560074, India; Thomas J., CHRIST (Deemed to be University), Kanmanike, Kumbalgodu, Mysore Road, Karnataka, Bangalore, 560074, India Description An account of the resource Colposcopy is a crucial imaging technique for finding cervical abnormalities. Colposcopic image evaluation, particularly the accurate delineation of the cervix region, has considerable medical significance. Before segmenting the cervical region, specular reflection removal is an efficient approach. Cervical cancer can be found using a visual check with acetic acid that turns precancerous and cancerous areas white and these could be viewed as signs of abnormalities. Similarly, bright white regions known as specular reflections obstruct the identification of aceto-white areas and should therefore be removed. So, in this paper, specular reflection removal with segmenting the cervix region in a colposcopy image is proposed. The proposed approach consists of two main stages, namely, pre-processing and segmentation. In the pre-processing stage, specular reflections are detected and removed using a swin transformer. After that, cervical regions are segmented using an enhanced Gaussian mixture model (EGMM). For better segmentation accuracy, the best parameters of GMM are chosen via the adaptive Mexican axolotl optimisation (AMAO) algorithm. The performance of the proposed approach is analysed based on accuracy, sensitivity, specificity, Jaccard index, and dice coefficient, and the efficiency of the suggested strategy is compared with various methods. Copyright 2026 Inderscience Enterprises Ltd. Subject The topic of the resource adaptive Mexican axolotl optimisation; AMAO; deep learning; EGMM; enhanced Gaussian mixture model; Gaussian mixture models; machine learning; metaheuristics; segmentation Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17550556; 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 Arumugam, Senthil Kumar; Ramesh, S.; Anuradha, Budha Title A name given to the resource Cyberdeviance among students a multidimensional scaling approach 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 of Public Sector Performance Management;Volume;16;Issue;3;pp.286-307 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPSPM.2025.148527" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPSPM.2025.148527</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105016154165?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016154165?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 Arumugam S.K., SRM Arts and Science College, Tamil Nadu, Kattankulathur, 603 203, India; Ramesh S., School of Commerce, Jain (Deemed-to-be University), Jayanagara 9th Block, Karnataka, Bangalore, 560069, India; Anuradha B., Department of Professional Studies, CHRIST (Deemed to be University), Central Campus, Karnataka, Bangalore, 560029, India Description An account of the resource Cyberdeviance off late has been gaining a lot of attention because of the increased use. Educational institutions have also made the internet available to its student to improve their exposure to various educational information. Hence, it becomes essential to identify a model that helps understand college factors to cyberdivert. The study focused on assessing whether college students are involved in cyberdeviation and the demographic effect on internet behaviour and cyberdeviance. The multidimensional approach was used to understand cyberdeviance. Data were collected from 264 students using convenience sampling in Bengaluru city, India. The study found that the respondents prefer to use the internet mainly for games and prefer least for theft, harassment, adult content, and hacking. They misused the internet due to the fear of unemployment and were involved in internet fraud to deploy knowledge. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource cybercrime; cyberdeviance; education; internet; MDS; multidimensional scaling; technology; university students Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17411041; 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 Banerjee, Jayanta; Kiran, Prabha; Kishore, S.V. Krishna; Vasudevan, M. Title A name given to the resource Privacy over instant messaging platforms: are users making the right decisions? 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 of Public Sector Performance Management;Volume;16;Issue;3;pp.367-385 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPSPM.2025.148526" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPSPM.2025.148526</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105016123163?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016123163?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 Banerjee J., College of Business, City University Ajman, United Arab Emirates; Kiran P., Westminster International University in Tashkent, 12 Istikbol Street, Tashkent, 100047, Uzbekistan; Kishore S.V.K., Christ University, Hosur Road, Near Diary Circle Bangalore, Karnataka, 560029, India; Vasudevan M., Christ University, Hosur Road, Near Diary Circle Bangalore, Karnataka, 560029, India Description An account of the resource This article explores the impact of perceived vulnerability, self-efficacy, resistance to change, and habit on users perception of privacy over users intention to use messaging platforms. The conceptual model includes perceived vulnerability, self-efficacy, resistance to change, habit, and its impact on users perception of privacy over users intention to use messaging platforms. A structural equation and hierarchical regression model were used for data analysis. The results show that age and profession affect peoples decision of shifting to a different platform significantly. The study is based on a few specific instant messaging platforms at one particular point in time and is undertaken in India; hence, the findings cannot be extended/applicable to other countries. The paper discusses the factors impacting the users sensitivity to data privacy while using a communication application through an electronic device, especially a mobile phone. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource data privacy; information privacy; instant messaging platform; privacy concern Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17411041; 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 George, Geo Kuruvila; Kurien, Georgy P.; Natarajan, Ramakrishnan; Nair, Sreerengan V.R. Title A name given to the resource Comparative study of benchmarking models for higher education institutions 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 of Process Management and Benchmarking;Volume;21;Issue;3;pp.368-400 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPMB.2025.149397" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPMB.2025.149397</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105020737327?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020737327?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 George G.K., School of Business and Management, CHRIST University, Bengaluru, India; Kurien G.P., School of Business and Management, CHRIST University, Bengaluru, India; Natarajan R., School of Business and Management, CHRIST University, Bengaluru, India; Nair S.V.R., School of Business and Management, CHRIST University, Bengaluru, India Description An account of the resource Benchmarking is a systematic and ongoing process of assessing an organisations business processes against those of business process leaders to obtain data that will enable the firm to take corrective action to enhance performance (Pattison, 1993). Eight benchmarking models, namely the European Foundation for Quality Management (EFQM) excellence model, American Productivity and Quality Centre (APQC) consortium framework, Commonwealth Higher Education Management Service (CHEMS) model, Mckinnon model, Henderson-Smart et al. model, educational development efficiency (EDE) model, Tee benchmarking model, and fourth generation balanced scorecard method are being studied, analysed, evaluated and compared. While most models effectiveness depends on the cooperation and participation of benchmarking partners, few depends on secondary data are an exception. Most benchmarking models lack the implementation and are fluid and flexible models. This comparative benchmarking study helps an institution understand which benchmarking model needs to be used, as the study details each models essential features, advantages, and limitations. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource benchmarking; higher education; key performance indicators; KPIs Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14606739; 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 Kumar, S. Babu; Kumar, M. Vinoth Title A name given to the resource Detection and classification of lung cancer using deep neural network 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 of Medical Engineering and Informatics;Volume;17;Issue;5;pp.429-443 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJMEI.2025.148638" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJMEI.2025.148638</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017018666?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017018666?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 Kumar S.B., Department of AI, ML &amp; DS, CHRIST University, Karnataka, Bangalore, India; Kumar M.V., Department of Information Science and Engineering, RV Institute of Technology and Management, Karnataka, Bangalore, India, Visvesvaraya Technological University, Karnataka, Belagavi, 590018, India Description An account of the resource Lung cancers hold a critical spot among the reasons for most cancer deaths among humans. The better way to maximise the survival rate is the detection of cancer at the earliest. But existing traditional techniques are time-consuming and error-prone. This study is a significant and efficient method for the detection and classification of lung cancer into large cell carcinomas, small cell, adenocarcinoma, squamous cell carcinomas, or benign respectively. In the proposed technique, a novel algorithm is implemented to generate the Image patches from whole slide histopathological images. Then, histogram normalisation is carried out to remove noise and enhance the image. Then a novel extended Mobius transformation technique is used for image augmentation. Finally, Dense EfficientNetB7 is trained to extract the features for the detection and classification of lung cancer. The performance of the proposed technique is proved more efficient and par with histologists attaining an accuracy of 98.87%. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource DCNN; deep convolution neural network; EfficientNetB7; histopathology; lung cancer Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17550653; 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 Palisetty, Ramesh; Konek, Shailaja S.; Bhavikatti, Veena Ishwarappa; Vemula, Rajesh; Boddeda, Omnamasivaya; Hiremath, Sony S. Title A name given to the resource Exploring the impact of influencer marketing strategies on sustainability in the fashion industry 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 of Management and Enterprise Development;Volume;24;Issue;4;pp.367-389 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJMED.2025.148966" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJMED.2025.148966</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018478263?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018478263?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 Palisetty R., Department of Management, Brainware University, Barasat, West Bengal, Kolkata, India; Konek S.S., Department of Business Studies, Central University of Karnataka, Karnataka, Kadaganchi, India; Bhavikatti V.I., Department of MBA, AMC Engineering College, Bannerghatta Road, Bangalore, India; Vemula R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Boddeda O., MBA-Department, Gonna Institute of Information Technology and Sciences, Gonnavanipalem, Andhra Pradesh, Visakhapatnam, India; Hiremath S.S., Department of Management, Visvesvaraya Technological University Post Graduate and Skill Development Centre, Talakal, India Description An account of the resource Social medias explosive expansion has forced firms to rethink their marketing tactics to communicate with a wider range of customers by providing value and enabling two-way dialogue. Influencers may contribute to increasing brand awareness and giving value to companies when they work with brands and the appropriate target audience. This study aims to evaluate the influence of source credibility dimensions such as trustworthiness, attractiveness, and perceived expertise on consumer attitudes toward fashion influencers and to assess how these attitudes impact consumers intentions to make purchases and provide recommendations. Also, determine the direct impacts of source credibility on these purchase and recommendation intentions. The research includes 342 individuals who follow a famous fashion influencer in India by using the convenient sampling method. Hierarchical regression analysis has been performed on data using SPSS. The outcome of the study shows the effect of trustworthiness and perceived expertise on attitudes toward influencers in the fashion industry. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource attitudes; consumer intentions; fashion industry; influencer marketing; source credibility; sustainable fashion Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14684330; 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 Pujari, Siva Kumar; Saha, Saibal Kumar; Sasi, Aromal Title A name given to the resource Adoption barriers of blockchain technology in Indian automotive supply chain: an MCDM approach 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 of Multicriteria Decision Making;Volume;10;Issue;2;pp.103-128 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJMCDM.2025.150297" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJMCDM.2025.150297</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024437119?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024437119?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 Pujari S.K., School of Business and Management, Christ University, India; Saha S.K., Xavier Business School, St. Xaviers University, Kolkata, India; Sasi A., School of Business and Management, Christ University, India Description An account of the resource The Indian automobile industry faces intense competition from international firms, making technological upgrades essential. Blockchain, known for powering cryptocurrencies, offers a transparent, immutable, and decentralised database beneficial for supply chains. Despite its potential and widespread use in other sectors, the Indian automobile industry has been slow to adopt it. This paper examines the barriers to blockchain adoption in this sector using Delphi and DEMATEL techniques. The study reveals that trust-building among partners and collaboration challenges due to blockchains complexity are the primary obstacles hindering adoption. These barriers make it difficult for firms to decide on implementing blockchain technology in their supply chains, with other obstacles being secondary but interconnected. Overcoming these obstacles requires transforming company cultures, establishing efficient governance systems, and ensuring transparent data disclosure. Governments can support this by stimulating innovation through legislation and creating blockchain sandboxes for safe testing, helping to develop standards with organisations like ISO and IEEE. 2025 Inderscience Publishers. All rights reserved. Subject The topic of the resource automobile; blockchain; data privacy; DEMATEL; organisation culture Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 2040106X; 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 Balaji, Vaishnavi; Manigandan, R.; Supriya, R.; Priya, A. Shakti; Reddy, Bhanu Sree; Raman, Manju Shree; Assefa, Mitku Title A name given to the resource Social capital as a catalyst for leadership excellence: the mediating role of institutional reputation in Indian higher education 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 of Learning and Change;Volume;17;Issue;4;pp.381-408 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJLC.2025.149598" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJLC.2025.149598</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021256895?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021256895?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 Balaji V., Dayananda Sagar College of Engineering, VTU, MBA, Bangalore, India; Manigandan R., Faculty of Management, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India; Supriya R., Acharya Institute of Graduate Studies, Karnataka, Bengaluru, 560107, India; Priya A.S., VIT Business School, VIT University, Tamil Nadu, Vellore, India; Reddy B.S., Indian Institute of Science Education and Research Tirupati, Yerpedu Mandal,Srinivasapuram, Panguru (G.P), Tirupati District, Andhra Pradesh, 517619, India; Raman M.S., Christ University, Yeshwanthpur Campus, Bangalore, India; Assefa M., Wollo University, Dessie, 5JH8+2MX, Ethiopia Description An account of the resource Drawing upon social capital theory, this study aims to investigate the impact of social capital on leadership effectiveness through mediating role of institutional reputation in higher educational institution. Data were collected from 310 academic leaders, including HODs, area chairs, and deans, using a structured online questionnaire. The sampling technique used was purposive sampling. Partial least squares structural equation modelling (PLS-SEM) was employed for analysis. The results indicate a significant positive relationship between social capital and leadership effectiveness, highlighting the importance of interpersonal trust, collaborative culture, and professional networks in influencing strategic vision, decision-making, and transformational leadership skills. Moreover, institutional reputation is identified as a partial mediator in this relationship, indicating that robust social capital not only improves direct leadership outcomes but also enhances the perceived credibility and prestige of institutions, hence strengthening leadership legitimacy and influence. This study enhances the sparse empirical literature linking social capital and leadership within the Indian higher education sector and provides pragmatic insights for policymakers and institutional leaders aiming to cultivate trust-based cultures and reputational capital. The study concludes with ideas for cultivating social capital via inclusive governance, faculty involvement, and external collaborations to improve leadership efficacy and ensure sustained institutional success. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource academic leadership; HEIs; higher educational institutions; Indian higher education; institutional reputation; leadership effectiveness; PLS-SEM; relational governance; SEM; social capital; structural equation modelling Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17402875; 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 Joseph, Anjali Merin; Prakash, L.T. Om Title A name given to the resource Technopedagogy in teacher education: exploring challenges and possibilities 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 of Knowledge and Learning;Volume;18;Issue;6;pp.549-564 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJKL.2025.149853" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJKL.2025.149853</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021874659?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021874659?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 Joseph A.M., Department of Sociology, Christ University, Bangalore, India; Prakash L.T.O., Department of Sociology, Christ University, Bangalore, India Description An account of the resource Digital technologies allowed teachers to overcome spatial and temporal limitations in education, particularly during the COVID-19 pandemic-imposed restrictions. While access to technological resources proved beneficial, teachers faced initial challenges. It is crucial to address the significance of digital education training in teacher education institutions, particularly in implementing the Integrated Teacher Education Programme based on the National Education Policy 2020 in India. This study explores approaches to techno-pedagogical skills in teacher education in Kerala, India, and the potential solutions to bridge the digital gap between training and teaching in the classroom. The researchers have used qualitative methods to gather and analyse data, including archival research and interviews with teacher educators and student teachers in the Bachelor of Education Programme. The findings indicate an urgent need for infrastructural upgrades and continuous professional development practices. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource digital education; teacher training; teaching-learning practices; technology Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17411009; 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 Leslie Dass, P.; Nair, Sreerengan V.R.; Kurien, Georgy P.; Kumar Chandar, S. Title A name given to the resource A systematic literature network analysis approach to assess the topology of modern-era supply chain risk management research 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 of Industrial and Systems Engineering;Volume;50;Issue;1;pp.106-145 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJISE.2025.146118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJISE.2025.146118</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004743502?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004743502?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 Leslie Dass P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Nair S.V.R., Faculty for Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kurien G.P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kumar Chandar S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India Description An account of the resource Over the past decade, there has been a significant increase in research on supply chain risk management (SCRM). This review uses a systematic literature network analysis to provide an overview of the SCRM research landscape, with emphasis on optimisation approaches, mathematical modelling tools, and the identification of seminal studies and relevant keywords used in SCRM research. However, there are few quantitative models that represent the relationship between supply chain surplus, sustainability, and resilience in SCRM literature. The study has limitations since it only sources from a single database, and more clarity is needed on the effectiveness of optimisation in SCRM, which can be further evaluated through case studies and empirical studies. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource linear programming; optimisation; profitability; resilience; risk management; supply chain; surplus; sustainability Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17485037; 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 Das, Ipsita; Nath, Aranya; Ghosh, Anusuya; Mhanna, Anas Title A name given to the resource Brand protection in Indias digital economy: trademarks vs. competition regulation 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 of Intellectual Property Management;Volume;15;Issue;6;pp.598-622 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJIPM.2025.150698" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIPM.2025.150698</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105025794145?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105025794145?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 Das I., School of Law (KSOL), Kalinga Institute of Industrial Technology, Bhubaneswar, 751024, India; Nath A., Damodaram Sanjivayya National Law University (DSNLU), Visakhapatnam, 531035, India; Ghosh A., Christ Deemed to be University, Christ University, Road, 30 Valor Court, Dasve Lavasa, Mulshi, Maharashtra, Pune, 412112, India; Mhanna A., School of Law (KSOL), Kalinga Institute of Industrial Technology, Bhubaneswar, 751024, India Description An account of the resource The digital economy in India has significantly impacted brand protection, with the need for robust trademark protection intensifying to combat issues like counterfeiting, cybersquatting, and unauthorised use. Competition regulation aims to ensure fair market practices, prevent monopolistic behaviour, and foster innovation. This study examines the legislative and judicial framework governing trademarks in India, highlighting key provisions under the Trade Marks Act, of 1999, and their application in the digital context. It also assesses the role of the Competition Commission of India (CCI) in addressing anti-competitive practices. The study identifies tensions and synergies between trademark protection and competition regulation, examining how digital platforms, e-commerce, and social media influence these legal domains. Comparing the study with jurisdictions like the EU and the USA, the paper proposes a balanced approach that harmonises trademark enforcement with competition law principles to ensure brand protection efforts do not stifle competition and innovation in Indias burgeoning digital economy. Recommendations include policy reforms, enhanced cooperation between regulatory bodies, and the adoption of technology-driven solutions to safeguard brands while promoting a competitive and fair digital marketplace. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource brand protection; competition law; competition regulation; digital marketplaces; e-commerce; Indian digital economy; intellectual property rights; IPR; trademarks Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14789647; 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 Mishra, Amar Kumar; Ojha, Megha; Sharma, Saumya; Jain, Smita; Kumar, Mayank; Singh, Archana Title A name given to the resource Predicting emotional intelligence, creative performance and knowledge management in higher education using multiple regression 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 of Intelligent Enterprise;Volume;12;Issue;2026-04-03 00:00:00;pp.321-339 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJIE.2025.147696" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIE.2025.147696</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011741371?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011741371?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 Mishra A.K., School of Business, ADAMAS University, Kolkata, India; Ojha M., Graphic Era (deemed to Be) University, Dehradun, India; Sharma S., Department of Management and Liberal Studies, The NorthCap University, Gurugram, India; Jain S., Department of Management, Moradabad Institute of Technology, Moradabad, India; Kumar M., Christ University, Bengaluru, India; Singh A., Graphic Era (deemed to Be) University, Dehradun, India Description An account of the resource Higher education institutions are paramount in emerging nations like India. Post-globalisation, India witnessed the growth of HEIs, especially in the private sector. However, today most of the institutions are struggling for their existence. One of the most vital reasons for such a staggering performance is the absence of creativity. It will not be an exaggeration to say that the present era is the era of creativity and performance and organisations that cant perform are bound to perish. Creativity can be nurtured and yield success only if it is supported by the emotional intelligence (EI) of the employees and knowledge management (KM) processes. The current paper explored the nexus between emotional intelligence, knowledge management processes and creative performance in HEIs in India and implied that though emotional intelligence affects creative performance, the impact gets manifolded in the presence of the knowledge management process. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource creative performance; emotional intelligence; higher educational institutions; knowledge management process Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17453232; 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 Lal, Maureen Primrose; Nagariya, Ramji; Siddh, Man Mohan Title A name given to the resource Artificial intelligence in higher education: the challenges, opportunities and the road ahead 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 of Intelligent Enterprise;Volume;12;Issue;2026-04-03 00:00:00;pp.377-394 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJIE.2025.147685" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIE.2025.147685</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011694944?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011694944?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 Lal M.P., CHRIST University, School of Business and Management, Bengaluru, India; Nagariya R., CHRIST University, School of Business and Management, Bengaluru, India; Siddh M.M., Department of Mechanical Engineering, Jaipur Engineering College and Research Centre, Rajasthan, Jaipur, 302022, India Description An account of the resource This paper investigates to deliver an overview of literature from 2012 to 2023 on the phenomena of implementing artificial intelligence in education (AIEd). With the help of the Scopus indexing database, data from 441 articles were extracted, analysed based on the keywords and preliminary reading and synthesised according to explicit inclusion and exclusion criteria and article compilation was on the parameters of scientific procedures and rationales for systematic literature review protocol (SPAR4SLR). Drawing on the recent literature depicts that the inception of artificial intelligence in education is still in its initial stage and much research is required. This article implies that although there are benefits and challenges talked about in the article delving into the application of AIEd in higher educations system of teaching and learning that shall lead the education system to newfound intelligence and automation, however, things are at the very initial stage and filled with conjectures. The findings demonstrate that the artificial intelligence-based teaching and learning phenomenon has a bright future as educational institutes understand its upcoming impact. The greatest challenge for educational institutes now is to start planning, designing, developing and implementing artificial intelligence-based courses for multidisciplinary and holistic training for future employees. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource AIEd; artificial intelligence; artificial intelligence in education; education; higher education; SPAR4SLR; systematic literature review protocol Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17453232; 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 Ramachandran, K.K.; Mishra, Budhi Sagar; Oberai, Himani; Masood, Gazala; Anand, Ila Mehrotra; Shukla, Nidhi Title A name given to the resource Scientific competence and acquisition challenges in education managed by analytics 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 of Intelligent Enterprise;Volume;12;Issue;2;pp.126-147 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJIE.2025.145654" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIE.2025.145654</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002680075?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002680075?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 Ramachandran K.K., Department of Management, Commerce and International Business, Dr. G.R.D. College of Science, Tamil Nadu, Coimbatore, India; Mishra B.S., Department of Management, L.N. Mishra College of Business Management, Bihar, Muzaffarpur, India; Oberai H., Department of Management, GLA University, Mathura, India; Masood G., Faculty of Commerce and Management, Rama University, Kanpur, India; Anand I.M., School of Business and Management, CHRIST University, Karnataka, Bengaluru, India; Shukla N., Presidency Business School, Presidency College, Karnataka, Bangalore, India Description An account of the resource Integration of instructional, informational, and communication technology underpins modern higher education. After decades without computer networks, these technologies have transformed learning. E-learning has transformed the education sector, solving its problems. The similarities between technology and cognition make this change noteworthy. Artificial intelligence-inspired model-based reinforcement learning lets agents predict states and outcomes across activities and settings to modify their behaviour. The human brain has similar mechanisms, especially in model selection, which is a fascinating mystery. This study examined the brains model selection process and found that sensory prediction errors motivate the brain to choose between computational models. The theory was contrasted with internal modelling and incentive predictive performance to show how prediction errors influence computational model selection. The brain can choose an internal validation learning model based on incentive prediction mistakes, as empirical evidence demonstrates that the policy gradient method matches these models. These models were intended to address higher education issues like administration, academic delivery, instructional design, and ethics. The report also suggested that e-learning could help solve industry issues like student concentration on campuses, brain drain, and resource shortages. This research shows how technology can change higher education and the future of learning. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource academic delivery; e-learning model; education learning; education management; education policy; human resource; infrastructure administration; instructional design Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17453232; 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 Baranidharan, S.; Sunil, Julie Title A name given to the resource A case study on challenges, opportunities and sustainable development of waste management 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 International Journal of Environment and Waste Management;Volume;37;Issue;3;pp.380-391 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJEWM.2025.146873" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJEWM.2025.146873</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009437272?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009437272?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 Baranidharan S., School of Business and Management, Christ, (Deemed to be University), Bangalore, India; Sunil J., Presidency Business School, Kempapura, Hebbal, Bangalore, 560024, India Description An account of the resource Waste management solutions for a country as large and densely populated as India with several infrastructure bottlenecks required a thorough understanding of the local context, waste generation patterns, and available infrastructure. Waste Ventures India invested in research and development to develop innovative waste management solutions to address challenges faced in India. By collecting and analysing data on waste generation patterns and available infrastructure, the company was able to design waste management systems that were tailored to Indian system. This case study highlights the importance of using evidence to inform policies and practices in waste management. Companies and governments can use data to design waste management systems that are effective, sustainable, and tailored to the needs of specific communities. This case guides analysis on how to ensure value for the stakeholders; how to identify benefits on a global and local front; and was the business scalable to ensure sustained impact. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource employment opportunities; environmental pollution; integrating policies; social enterprise; sustainability and innovation; waste management Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14789876; 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 Rani, Priya; Bagri, Kanchan; Sherry, Priyanka Yadav; Nagariya, Ramji Title A name given to the resource Digital entrepreneurship in modern techno world: mapping the literature and future research agenda 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 International Journal of Entrepreneurship and Small Business;Volume;57;Issue;1;pp.100-129 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJESB.2026.150195" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJESB.2026.150195</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024258557?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024258557?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 Rani P., Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, India; Bagri K., Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, India; Sherry P.Y., Institute of Management Studies and Research, Maharshi Dayanand University, Rohtak, India; Nagariya R., School of Business and Management, CHRIST University, Bengaluru, India Description An account of the resource Digital entrepreneurship (DE) leverages internet services for business and financial gain. This study reviews past research, highlighting trends and gaps. Using the POWER framework and PRISMA techniques, 733 articles were analysed with VOSViewer and manual text analysis. Key findings include 2023 having the most publications, the UK leading in published articles, the journal Technological Forecasting for Social Change having the highest impact, and A. Ghezzi being the most influential author. Trending topics are entrepreneurs, digital entrepreneurship, and sustainability. Emerging themes include digital entrepreneurship ecosystems, opportunities for women and education, entrepreneurial funding, government adoption, and digital technologies. Future research should focus on entrepreneurial education, AI innovations, digital venture performance, and IoT adoption. Frameworks like lean start-up, business model innovation, and value creation can enhance DE performance, with further exploration encouraged by the identified future research agenda. Copyright 2026 Inderscience Enterprises Ltd. Subject The topic of the resource bibliometric analysis; content; DEE; digital entrepreneurship; digital entrepreneurship ecosystem; digital start-ups; POWER framework; SLR; thematic analysis Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14761297; 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 Awasthi, Yashmita; Srivastava, Anubha; Uppal, Aakanksha; Anand, Vaijayanti; Srivastava, Anjita Title A name given to the resource Digital marketing effectiveness and success factors for small and medium enterprises 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 International Journal of Entrepreneurship and Small Business;Volume;58;Issue;1;pp.85-109 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJESB.2026.10069190" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJESB.2026.10069190</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105038910865?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038910865?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 Awasthi Y., Christ University, School of Commerce, Finance and Accountancy, Bengaluru, India; Srivastava A., Department of Management Studies, Institute of Technology and Science, Ghaziabad, India; Uppal A., Symbiosis Law School, Constituent of Symbiosis International (Deemed) University, Uttar Pradesh, Noida, India; Anand V., Department of Management Studies, Institute of Technology and Science, Ghaziabad, India; Srivastava A., Budelkhand University, Uttar Pradesh, Jhansi, India Description An account of the resource Digital marketing is crucial for the organisation success. Therefore, this paper explores how research in digital marketing can enhance marketing strategies, drive consumer engagement and boost revenue generation. It highlights how businesses of varying sizes can leverage these insights to thrive in the competitive online market. The study conducts a bibliometric analysis of digital marketing research, tracing its evolution from inception to present day. Focusing on authorship patterns, international collaborations, and geographical influences, it assesses the potential future impact of research in this area. Using the Scopus database, 1,126 relevant articles were selected for detailed analysis. Employing the R Software and bibliometric package, an extensive scientific mapping analysis was performed. The findings present a thorough exploration of author contributions, source evaluations, document analytics, cluster mapping-citations, and collaborative networks. These findings provide valuable guidance for researchers and practitioners interested in emerging domain of digital marketing. Copyright 2026 Inderscience Enterprises Ltd. Subject The topic of the resource bibliometric analysis; digital marketing; factor analysis; R Studio; science mapping Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 14761297; 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 Balaram, Ambily; Raju, Nedunchezhian Title A name given to the resource A frequent itemset generation approach in data mining using transaction-labelling dynamic itemset counting method 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 of Data Mining, Modelling and Management;Volume;17;Issue;1;pp.54-74 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJDMMM.2025.144615" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJDMMM.2025.144615</a> <br /><br /><a href="https://www.scopus.com/pages/publications/86000134816?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/86000134816?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 Balaram A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Banglore, India; Raju N., Department of Computer Science and Engineering, Coimbatore Institute of Technology, Tamil Nadu, Coimbatore, India Description An account of the resource A significant amount of data is generated, gathered, stored, and evaluated in real-world applications as a result of technology breakthroughs. Data mining (DM) combines a number of disciplines to efficiently discover hidden patterns from vast archives of historical information. To significantly reduce complexities associated with data, the proposed method, transaction-labelling dynamic itemset counting (TL-DIC), utilises a labelling approach on the given transactional database to logically arrange and process the underlying transactions. This method generates frequent itemsets thereby improving the performance of conventional dynamic itemset counting (DIC) method. Based on experimental findings, the average scan count in DIC and M-Apriori is 4% and 3.66%, respectively higher than TL-DIC, for different support counts. TL-DIC executes 20% and 16% quicker than DIC and M-Apriori, respectively, in terms of execution time. These results validate the proposed approachs efficacy in creating frequent itemsets from large datasets. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource ARM; association rule mining; complexities; data mining; DIC; dynamic itemset counting method; frequent itemset generation; labelling; minimum support threshold; scan count; TL; TL-DIC; transaction labelling; transaction-labelling dynamic itemset counting; transactional database Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17591163; 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