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              <text>Analyzing blockchain-based supply chain resilience strategies: resource-based perspective</text>
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              <text>Blockchain; Micro; Resource-based view; Small and medium-sized enterprises (MSMEs); Supply chain disruptions; Supply chain resilience; Textile industry</text>
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              <text>Purpose: This research tries to find the blockchain-based resilience strategies that can help the supply chains of micro, small, and medium-sized enterprises (MSMEs) to recover from the disruptions and work effectively in a resource-based view perspective. Design/methodology/approach: Eight broad strategies and 32 sub-strategies are identified from the literature review. Delphi study was carried out, and detailed discussion with 16 experts helped in finalizing these strategies. Further, the best-worst method (BWM) prioritized these strategies. Findings: The findings suggests that building social capital, improving coordination capabilities, sensitivity towards market, flexibility in process and production, reduction in process and lead time,and having a resource efficiency and redundancy are the top strategies on which the top management should focus to overcome the situations of disruptions and enhance performance of MSMEs. Practical implications: The blockchain-based strategies will enable the companies in tracing the products from the company to customers. Further, the customers will be able to identify their manufacturers, the raw materials used in manufacturing, and the life and quality of raw used materials. Altogether the textile industry will become more sensitive toward environmental practices. Originality/value: The previous research has not identified and evaluated the blockchain-based resilience strategies, and therefore this study tries to fill this gap. This study used a smaller sample from the experts, so the results may vary if the larger data set is used and hypothesis testing can be done.  2023, Emerald Publishing Limited.</text>
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              <text>Nagariya R.; Mukherjee S.; Baral M.M.; Chittipaka V.</text>
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              <text>International Journal of Productivity and Performance Management, Vol-73, No. 4, pp. 1088-1116.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1108/IJPPM-07-2022-0330" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/IJPPM-07-2022-0330&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159714283&amp;amp;doi=10.1108%2FIJPPM-07-2022-0330&amp;amp;partnerID=40&amp;amp;md5=2d8e9c7e3201c32dd3cfaf15ca0df76e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159714283&amp;amp;doi=10.1108%2fIJPPM-07-2022-0330&amp;amp;partnerID=40&amp;amp;md5=2d8e9c7e3201c32dd3cfaf15ca0df76e&lt;/a&gt;</text>
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              <text>ISSN: 17410401</text>
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              <text>Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Mukherjee S., Department of Operations, GITAM School of Business, GITAM, Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM, Visakhapatnam, India; Chittipaka V., School of Management, Indira Gandhi National Open University, New Delhi, India</text>
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