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                <text>Achieving organizational performance by integrating industrial Internet of things in the SMEs: a developing country perspective</text>
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                <text>Competitive edge; Human perspective; Industrial internet of things; Organizational performance; SMEs</text>
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                <text>Purpose: This research investigates the adoption of the industrial Internet of things (IIoT) in SMEs to achieve and increase organizational performance. With the latest technology, small and medium-sized enterprises (SMEs) can create a competitive edge in the market and better serve customers. Design/methodology/approach: Twelve hypotheses are proposed for this study. This study constructed a questionnaire based on technological, organizational, environmental and human perspectives. A survey is conducted on the SMEs of India using the questionnaire. Findings: Eight hypotheses were accepted, and four hypotheses were not supported. The hypotheses rejected are infrastructure, organizational readiness, internal excellence and prior experience. The findings suggested that adopting IIoT in SMEs will increase organizational performance. Research limitations/implications: This study will be helpful for the manager, top management and policymakers. This study identified the areas SMEs need to work on to adopt the technologies. Originality/value: In the literature, no article considered IIoT adoption in SME firms as a human factor. Therefore, this study is unique, including human, technological, organizational and environmental factors.  2023, Emerald Publishing Limited.</text>
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                <text>Mukherjee S.; Baral M.M.; Chittipaka V.; Nagariya R.; Patel B.S.</text>
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                <text>TQM Journal, Vol-36, No. 1, pp. 265-287.</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/TQM-07-2022-0221" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/TQM-07-2022-0221&lt;/a&gt;
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                <text>ISSN: 17542731</text>
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                <text>Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Chittipaka V., School of Management Studies, Indira Gandhi National Open University (IGNOU), New Delhi, India; Nagariya R., School of Business and Management, Christ (Deemed to be University), Bengaluru, India; Patel B.S., Thiagarajar School of Management, Madurai, India</text>
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            <name>Title</name>
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                <text>Investigating sustainable development for the COVID-19 vaccine supply chain: a structural equation modelling approach</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="96701">
                <text>COVID-19 vaccine; Healthcare and hospitals; Immunization; Sustainable development; Vaccine supply chain</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Purpose: Immunization is one of the most cost-effective ways to save lives while promoting good health and happiness. The coronavirus disease 2019 (COVID-19) pandemic has served as a stark reminder of vaccines' ability to prevent transmission, save lives, and have a healthier, safer and more prosperous future. This research investigates the sustainable development (SD) of the COVID-19 vaccine supply chain (VSC). Design/methodology/approach: This study investigates the relationship between internal process, organizational growth, and its three pillars of SD environmental sustainability, economic sustainability and social sustainability. Survey-based research is carried out in the hospitals providing COVID-19 vaccines. Nine hypotheses are proposed for the study, and all the hypotheses got accepted. The survey was sent to 428 respondents and received 291 responses from health professionals with a response rate of 68%. For the study, the healthcare professionals working in both private and public hospitals across India were selected. Findings: The structural equation modelling (SEM) approach is used to test the hypothesis. All nine hypotheses are supported. This study examines a link between internal processes and organizational learning and the three sustainability pillars (environmental sustainability, economic sustainability and social sustainability). Practical implications: This study will help the management and the policymakers to think and adopt SD in the COVID-19 VSC. This paper also implies that robust immunization systems will be required in the future to ensure that people worldwide are protected from COVID-19 and other diseases. Originality/value: This paper shows the relationship between organizational learning and internal process with environmental sustainability, economic sustainability and social sustainability for the COVID-19. Studies on VSC of COVID-19 are not evident in any previous literature.  2022, Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka, Surya Kant Pal and Ramji Nagariya.</text>
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              <elementText elementTextId="96703">
                <text>Mukherjee S.; Baral M.M.; Chittipaka V.; Pal S.K.; Nagariya R.</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="96704">
                <text>Journal of Humanitarian Logistics and Supply Chain Management, Vol-13, No. 2, pp. 199-215.</text>
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            <name>Publisher</name>
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              <elementText elementTextId="96705">
                <text>Emerald Publishing</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="96706">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/JHLSCM-08-2021-0079" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/JHLSCM-08-2021-0079&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130545131&amp;amp;doi=10.1108%2FJHLSCM-08-2021-0079&amp;amp;partnerID=40&amp;amp;md5=a677fcc3d3a99bca0682864d642fed6e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130545131&amp;amp;doi=10.1108%2fJHLSCM-08-2021-0079&amp;amp;partnerID=40&amp;amp;md5=a677fcc3d3a99bca0682864d642fed6e&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="96708">
                <text>All Open Access; Hybrid Gold Open Access</text>
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          </element>
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              <elementText elementTextId="96709">
                <text>ISSN: 20426747</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="96710">
                <text>Online</text>
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              <elementText elementTextId="96711">
                <text>English</text>
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                <text>Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Chittipaka V., School of Management Studies, Indira Gandhi National Open University (IGNOU), Delhi, India; Pal S.K., Department of Mathematics, School of Basic Sciences and Research, Sharda University, Greater Noida, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, India</text>
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                <text>Intentions to adopt the blockchain: investigation of the retail supply chain</text>
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                <text>Behavioural intention; Blockchain; Retail supply chain; Technology acceptance model; Theory of planned behaviour; Unified theory of acceptance and use of technology</text>
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                <text>Purpose: Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC. Design/methodology/approach: To examine the behavioural intention of employees in the retail SC, the research uses three theories  the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis. Findings: This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector. Practical implications: This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only. Originality/value: This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC.  2023, Emerald Publishing Limited.</text>
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                <text>Mukherjee S.; Baral M.M.; Lavanya B.L.; Nagariya R.; Singh Patel B.; Chittipaka V.</text>
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                <text>Management Decision, Vol-61, No. 5, pp. 1320-1351.</text>
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                <text>Emerald Publishing</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/MD-03-2022-0369" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/MD-03-2022-0369&lt;/a&gt;
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                <text>ISSN: 251747</text>
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                <text>Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Lavanya B.L., Department of Management, MEASI Institute of Management, Chennai, India; Nagariya R., School of Business and Management, Christ (Deemed to be University), Bengaluru, India; Singh Patel B., Department of Operations Management, Thiagarajar School of Management, Madurai, India; Chittipaka V., School of Management Studies, Indira Gandhi National Open University (IGNOU), New Delhi, India</text>
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                <text>Systematic literature review and future research directions for service robots in hospitality and tourism industries; [????????????????????????]</text>
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                <text>hospitality; scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR); Service robots; touchless experience; tourism sector</text>
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                <text>Service robots create a touchless experience for travellers; therefore, this research aims to conduct a systematic literature review (SLR) of service robots in the tourism and hospitality sector. This study used the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) approach for reviewing the articles. One hundred eighteen articles are selected for the final review. A thematic analysis divided the articles into three themes and nine sub-themes. For establishing the future research directions Theory, Methodology, and Context (TMC) framework was used and forty-one future research questions are proposed. The study provides various research implications concerning theory and practical perspective. Different management theories are linked with future research questions. Few review papers discussed the service robot in the context of the tourism sector, but none of these studies used the SPAR-4-SLR and TMC framework. This study comprehensively reviews the articles and provides potential future research directions.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Mukherjee S.; Baral M.M.; Nagariya R.; Venkataiah C.; Rao U.V.A.; Rao K.S.</text>
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                <text>Service Industries Journal, Vol-43, No. 15-16, pp. 1083-1116.</text>
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                <text>All Open Access; Bronze Open Access</text>
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                <text>Mukherjee S., GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Baral M.M., GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Venkataiah C., Indira Gandhi National Open University, New Delhi, India; Rao U.V.A., GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Rao K.S., GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India</text>
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                <text>Blockchain-based circular economy for achieving environmental sustainability in the Indian electronic MSMEs</text>
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                <text>Barriers; Blockchain; Circular economy (CE); Environmental sustainability; FuzzyTOPSIS; MSMEs</text>
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                <text>Purpose: The circular economy is a production and consumption model that encourages people to share, lease, reuse, repair, refurbish and recycle existing materials and products for as long as possible. The blockchain-based circular economy is being used in many industries worldwide, but Indian electronic MSMEs face many problems in adopting a blockchain-based circular economy. The research aims to discover the barriers the electronic MSMEs face in adopting a blockchain-based circular economy and pull back from achieving environmental sustainability in their operations. Design/methodology/approach: Fifteen barriers are identified from the literature review and finalized with experts' opinions. These barriers are evaluated by using interpretive structural modeling (ISM), MICMAC analysis and fuzzy TOPSIS method. Findings: Lack of support from distribution channels, lack of traceability mechanism and customer attitudes toward purchasing remanufactured goods are identified as the most critical barriers. Practical implications: The study will benchmark the electronic MSMEs in achieving environmental sustainability in the blockchain-based circular economy. Originality/value: It is a study that not only establishes a hierarchical relationship among the barriers of blockchain adoption in Indian electronic MSMEs but also verifies the results with fuzzy TOPSIS method.  2022, Emerald Publishing Limited.</text>
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                <text>Mukherjee S.; Nagariya R.; Baral M.M.; Patel B.S.; Chittipaka V.; Rao K.S.; Rao U.V.A.</text>
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                <text>Management of Environmental Quality: An International Journal, Vol-34, No. 4, pp. 997-1017.</text>
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                <text>Emerald Publishing</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139233212&amp;amp;doi=10.1108%2FMEQ-03-2022-0045&amp;amp;partnerID=40&amp;amp;md5=63af7fc7bcb7df87530f6de19d3c19d8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139233212&amp;amp;doi=10.1108%2fMEQ-03-2022-0045&amp;amp;partnerID=40&amp;amp;md5=63af7fc7bcb7df87530f6de19d3c19d8&lt;/a&gt;</text>
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              <elementText elementTextId="96081">
                <text>Restricted Access</text>
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                <text>ISSN: 14777835</text>
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                <text>Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST University, Delhi NCR Campus, Ghaziabad, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Patel B.S., Department of Operations, Thiagarajar School of Management, Madurai, India; Chittipaka V., Department of Management Studies, IGNOU, New Delhi, India; Rao K.S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Rao U.V.A., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India</text>
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                <text>Artificial intelligence-based reverse logistics for improving circular economy performance: adeveloping country perspective</text>
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          <element elementId="49">
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              <elementText elementTextId="76719">
                <text>AI-based circular economy; Artificial intelligence; Circular economy performance; Reverse logistics</text>
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                <text>Purpose: Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial intelligence (AI)-based reverse logistics will help Micro, Small, and medium Enterprises (MSMEs) adequately recycle and reuse the materials in the firms. This research aims to measure the adoption of AI-based reverse logistics to improve circular economy (CE) performance. Design/methodology/approach: In this study, we proposed ten hypotheses using the theory of natural resource-based view and technology, organizational and environmental framework. Data are collected from 363 Indian MSMEs as they are the backbone of the Indian economy, and there is a need for digital transformation in MSMEs. A structural equation modeling approach is applied to analyze and test the hypothesis. Findings: Nine of the ten proposed hypotheses were accepted, and one was rejected. The results revealed that the relative advantage (RA), trust (TR), top management support (TMS), environmental regulations, industry dynamism (ID), compatibility, technology readiness and government support (GS) positively relate to AI-based reverse logistics adoption. AI-based reverse logistics indicated a positive relationship with CE performance. For mediation analysis, the results revealed that RA, TR, TMS and technological readiness are complementary mediation. Still, GS, ID, organizational flexibility, environmental uncertainty and technical capability have no mediation. Practical implications: The study contributed to the CE performance and AI-based reverse logistics literature. The study will help managers understand the importance of AI-based reverse logistics for improving the performance of the CE in MSMEs. This study will help firms reduce their carbon footprint and achieve sustainable development goals. Originality/value: Few studies focused on CE performance, but none measured the adoption of AI-based reverse logistics to enhance MSMEs CE performance.  2024, Emerald Publishing Limited.</text>
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                <text>Mukherjee S.; Nagariya R.; Mathiyazhagan K.; Baral M.M.; Pavithra M.R.; Appolloni A.</text>
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                <text>International Journal of Logistics Management, Vol-35, No. 6, pp. 1779-1806.</text>
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                <text>&lt;a href="https://doi.org/10.1108/IJLM-03-2023-0102" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/IJLM-03-2023-0102&lt;/a&gt;
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                <text>ISSN: 9574093</text>
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                <text>Mukherjee S., GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST University, Bengaluru, India; Mathiyazhagan K., Thiagarajar School of Management, Madurai, India; Baral M.M., GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Pavithra M.R., Rajalakshmi School of Business, Chennai, Chembarambakkam, India; Appolloni A., Department of Management and Law, University of Rome Tor Vergata, Rome, Italy</text>
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                <text>Linking supply chain resilience with knowledge management for achieving supply chain performance</text>
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              <elementText elementTextId="81032">
                <text>Dynamic capability theory; Knowledge management; MSMEs; SC performance; SC resilience; Strategies</text>
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                <text>Purpose: Supply chain (SC) and knowledge management (KM) have been studied; still, there is a need to understand how KM can be used for SC resilience and improving the firms performance. The purpose of the paper is to study and analyze SC resilience strategies based on KM processes to enhance SC performance considering six SC strategies: SC reengineering, collaboration, SC innovation, SC integration, SC agility and SC risk management. Design/methodology/approach: By adopting the dynamic capability theory, the empirical research is conducted on a sample of 312 Indian micro, small to medium enterprises. To evaluate 312 samples, the structural equation modeling approach is adopted. Findings: The study found a is a positive relationship between SC reengineering, SC collaboration, SC integration, SC agility, SC risk management and KM. Nevertheless, the relationship between SC innovation and KM is not significant. This study also found the mediating effect of KM on SC performance, and the results shows that SC reengineering, SC collaboration, SC agility and SC risk management are having complementary mediation, while SC innovation and SC integration did not show any mediation. Originality/value: This is the only research that integrates resilience strategies and KM for improving SC performance. Using KM, SC reengineering will improve SC performance by enhancing readiness and recovery strategies to avoid SC disruption. KM will improve SC collaboration. It will enhance the SC process overall visibility, transparency and so on. Agility leads to increased speed, visibility and flexibility, which aids in dealing with uncertainty in the environment. SCRM entails investments and additional resources (such as equipment and labor) to navigate uncertainty and risks in the SC and improve SC performance.  2023, Emerald Publishing Limited.</text>
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                <text>Mukherjee S.; Nagariya R.; Mathiyazhagan K.; Scuotto V.</text>
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                <text>Journal of Knowledge Management, Vol-28, No. 4, pp. 971-993.</text>
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                <text>Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Mathiyazhagan K., Thiagarajar School of Management, Madurai, India; Scuotto V., Pole Universitaire Leonard de Vinci, Paris, France and Department of Economia, University of Naples Federico II, Naples, Italy</text>
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                <text>Service learning beyond the classroom: Engaging students in environmental stewardship</text>
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                <text>Service learning offers a dynamic approach to education, extending learning beyond the classroom and into the community. This chapter explores integrating service learning principles with environmental stewardship, focusing on engaging students in meaningful activities that contribute to the conservation and protection of the environment. By immersing students in real-world environmental projects, this chapter integrates six stages of the IPARDC model with environmental stewardship. Besides that, this chapter discusses a six-step system focused on environmental stewardship for service learning. Moreover, it discusses strategies for designing and implementing effective service-learning experiences that promote environmental awareness, sustainability, and social responsibility. Through collaboration with community partners and integration with the academic curriculum, service learning empowers students to actively participate in environmental stewardship efforts actively, fostering a sense of responsibility and advocacy for the natural world.  2024, IGI Global. All rights reserved.</text>
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                <text>Enhancing Curricula with Service Learning Models, pp. 170-184.</text>
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                <text>Mukherjee S., Christ University, India; Rastogi K., Christ University, India; Rahman R., Christ University, India; Valarmathi S., Christ University, India</text>
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                <text>Underlying Opportunities and Challenges of Digitalization in Gig Economy</text>
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                <text>There has been enormous growth in the gig sector across the world. The term gig refers to the short-term arrangement. For instance, an aspiring musician might celebrate after he obtains a gig contract or a painter may get a gig contract for some particular period of time. Both of them might get paid either a fixed fee or a fee based on the contract given. The gig economy has given rise to freelance workers, part-time workers, project-based workers, independent contractors, and contract workers. The gig economy has occupied a prominent place in the United States. According to the survey conducted by Intuit, nearly 40% of American workers are working as an independent contract worker in the year 2020. By means of the increase in the cost level and large masses seeking for jobs and livelihood, the concept of gig economy has opened doors for earning extra income through the gig work. The concept of digital platforms, greater digitalization, and accessibility to higher technology advancement such as the adoption of Artificial Intelligence is giving a boost to the concept of gig economy. There has been a growth in the acceptance of smartphones and the percentage of digitalization is an aiding factor permitting gig freelancers to offer numerous qualified services over the tech-based platform. Gig employees have the potential of signing any tasks in which they have a specific skill set. For example, a worker specialized in interior beautification on an ad-hoc basis for various customers as an alternative of undertaking a full-time inside designing work at a company. Advanced countries such as the United States were the initial adoption of the gig economy started due to advanced rates of digitalization, economic growth, and increase in the disposable income. All these enabling factors were responsible for foremost growing firms being initiated in the United States. Examples of firms are Uber, Airbnb, and Upwork. Nations such as the United States are presently a frontrunner in the international gig economy. On the contrary, emerging nations like India characterize a countless latent in terms of adoption of the gig economy. The reason behind the boost in gig economy is the growing supply of outworkers and lesser skilled labour force. With further knowledge diffusion and the upgrading in human resources and capital, India will nurture in the worldwide gig economy at a hastening pace. India can follow the United States gig economy by studying its trends and encourage the possible gig responsibilities. There are instances such as Ola and OYO operational in the Indian Economy.  2025 selection and editorial matter Alex Khang, Babasaheb Jadhav, Vugar Abdullayev Hajimahmud and Ipseeta Satpathy; individual chapters, the contributors.</text>
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                <text>Mukherjee S.; Tomar R.</text>
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                <text>Synergy of AI and Fintech in the Digital Gig Economy, pp. 268-283.</text>
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                <text>&lt;a href="https://doi.org/10.1201/9781032720104-17" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781032720104-17&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215995770&amp;amp;doi=10.1201%2F9781032720104-17&amp;amp;partnerID=40&amp;amp;md5=61224a4675a24985114ac378ccb8ca20" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215995770&amp;amp;doi=10.1201%2f9781032720104-17&amp;amp;partnerID=40&amp;amp;md5=61224a4675a24985114ac378ccb8ca20&lt;/a&gt;</text>
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                <text>Mukherjee S., Department of Economics, MIT World Peace University, Pune, India; Tomar R., Department of Economics, Christ University, NCR Ghaziabad, India</text>
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                <text>Mitigating Mental Health Burden of Youth During COVID-19 Through Resilience and Hope: Evidences from India and Germany</text>
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                <text>Anticipatory Crisis; COVID-19; Hope; Mental Health; Resilience; Stress</text>
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                <text>In the global crisis caused by the COVID-19 pandemic, young professionals and graduating students experience considerable psychological adversity due to the uncertainty surrounding their futures. Given the positive psychological outcomes and the potential to alleviate stress, we examine the role of resilience and hope in causing a substantial variance in the stress response to anticipation of crisis among Indians living in India and Germany. Resilience, hope, crisis apprehension, and the psychological response to the COVID-19 pandemic were measured among participants from India and Germany (n = 650) via an online survey using non-probability convenient sampling. Parallel mediation and conditional indirect effects showcase the differential roles of resilience and hope among socio-culturally similar but geographically divergent groups. Hope mediates the effect of pandemic-led crisis apprehension on perceived stress among those residing in India; resilience operates to mitigate stress among those from Germany. Findings highlight the contradistinctive role of resilience and hope in reducing stress and imply an urgent need for promotion of ameliorative practices. Resilience effectively mitigates the psychological burden of the COVID-19 crisis and can be promoted to reskill individuals; however, elevating hope in a crisis obligates prudence.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.</text>
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                <text>Mukherjee T.; Deb S.; Deb S.</text>
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                <text>Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 515-529.</text>
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                <text>Mukhopadhyay D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST Deemed to be University, Bangalore, 560 074, India; Chakraborty T., EURECOM, Biot, 06410, France; Saha A., Department of Computer Science &amp;amp; Engineering, Indian Institute of Technology Patna, Bihar, India; Mondal K., Indian Institute of Technology (Indian School of Mines), Dhanbad, India; Purkayastha R., Department of Computer Science and Engineering, Adamas University, Barasat, West Bengal, Kolkata, India</text>
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                <text>The present disclosure relates to a new centralized ledger technology with a centralized validation process. It offers a single platform for all categories of real-time transactions and validations, unlike existing conventional blockchain technology. It offers three levels of hashing placed at the generator, server, and validator end for data security from data tampering and two levels of encryption for communication lines between generator-server and server-validator for packet security. This system ensures trustworthiness, authenticity, and CIA (confidentiality, integrity, and availability) to its end users while being real-time in execution. The proposed system does not follow a chain-based file architecture. Due to this, no concept of chain break arises, and the problems that arise as a result of chain break in the blockchain are avoided.  2022 Elsevier Inc. All rights reserved.</text>
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                <text>Blockchain Technology for Emerging Applications: A Comprehensive Approach, pp. 91-106.</text>
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The present invention is configured with the generation of multiprocessor core of each 15 bit CAM cell and a section works at a lower supply area which will drive a part to work at a more prominent induced voltage for the CAM core processor. The present device is configured in such a way so that no level converters are required. The system operates avoiding the power overhead and low supply area as illustrated in Fig1. This process is used assorting voltage with less area interface inside the CAM cells, related by the applying product on D-FF. The match line indicates the search word and stored word are indistinguishable (the match case) or are extraordinary (a confounding case, or miss) of the CAM cell.</text>
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                <text>Tunable Capacitive Behavior in Metallopolymer-based Electrochromic Thin Film Supercapacitors</text>
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                <text>capacitance; coordination polymers; electrochromic; metal-organic; supercapacitors</text>
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                <text>Volumetric capacitance is a more critical performance parameter for rechargeable power supply in lightweight and microelectronic devices as compared to gravimetric capacitance in larger devices. To this end, we report three electrochromic metallopolymer-based electrode materials containing Fe2+as the coordinating metal ion with high volumetric capacitance and energy densities in a symmetric two-electrode supercapacitor setup. These metallopolymers exhibited volumetric capacitance up to 866.2 F cm-3at a constant current density of 0.25 A g-1. The volumetric capacitance (poly-Fe-L2: 544.6 F cm-3&amp;gt; poly-Fe-L1: 313.8 F cm-3&amp;gt; poly-Fe-L3: 230.8 F cm-3at 1 A g-1) and energy densities (poly-Fe-L2: 75.5 mWh cm-3&amp;gt; poly-Fe-L1: 43.6 mWh cm-3&amp;gt; poly-Fe-L3: 31.2 mWh cm-3) followed the order of the electrical conductivity of the metallopolymers and are among the best values reported for metal-organic systems. The variation in the ligand structure was key toward achieving different electrical conductivities in these metallopolymers with excellent operational stability under continuous cycling. High volumetric capacitances and energy densities combined with tunable electro-optical properties and electrochromic behavior of these metallopolymers are expected to contribute to high performance and compact microenergy storage systems. We envision that the integration of smart functionalities with thin film supercapacitors would warrant the surge of miniaturized on-chip microsupercapacitors integrated in-plane with other microelectronic devices for wearable applications.  2022 American Chemical Society. All rights reserved.</text>
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                <text>Mukkatt I.; Mohanachandran A.P.; Nirmala A.; Patra D.; Sukumaran P.A.; Pillai R.S.; Rakhi R.B.; Shankar S.; Ajayaghosh A.</text>
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                <text>ACS Applied Materials and Interfaces, Vol-14, No. 28, pp. 31900-31910.</text>
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                <text>&lt;a href="https://doi.org/10.1021/acsami.2c05744" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1021/acsami.2c05744&lt;/a&gt;
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                <text>Mukkatt I., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Mohanachandran A.P., Material Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Department of Physics, University of Kerala, Kerala, Thiruvananthapuram, 695581, India; Nirmala A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Patra D., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Sukumaran P.A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Rakhi R.B., Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India, Material Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India; Shankar S., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Ajayaghosh A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India</text>
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