Impact of big data analytics on supply chain performance: an analysis of influencing factors
<p>This paper aims to understand the impact of big data analytics on the retail supply chain. For doing so, we set our context to select the best big data practices amongst the available alternatives based on retail supply chain performance. We have applied TODIM (an acronym in Portuguese for...
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| مؤلفون آخرون: | , , |
| منشور في: |
2022
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| _version_ | 1864513568266780672 |
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| author | P. R. C. Gopal (14147799) |
| author2 | Nripendra P. Rana (14047252) Thota Vamsi Krishna (14147805) M. Ramkumar (3905647) |
| author2_role | author author author |
| author_facet | P. R. C. Gopal (14147799) Nripendra P. Rana (14047252) Thota Vamsi Krishna (14147805) M. Ramkumar (3905647) |
| author_role | author |
| dc.creator.none.fl_str_mv | P. R. C. Gopal (14147799) Nripendra P. Rana (14047252) Thota Vamsi Krishna (14147805) M. Ramkumar (3905647) |
| dc.date.none.fl_str_mv | 2022-05-27T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10479-022-04749-6 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Impact_of_big_data_analytics_on_supply_chain_performance_an_analysis_of_influencing_factors/21592341 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Transportation, logistics and supply chains Information and computing sciences Artificial intelligence Data management and data science Multi criteria decision making TODIM Retail supply chains Big data practices |
| dc.title.none.fl_str_mv | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>This paper aims to understand the impact of big data analytics on the retail supply chain. For doing so, we set our context to select the best big data practices amongst the available alternatives based on retail supply chain performance. We have applied TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) for the selection of the best big data analytics tools among the identified nine practices (data science, neural networks, enterprise resource planning, cloud computing, machine learning, data mining, RFID, Blockchain and IoT and Business intelligence) based on seven supply chain performance criteria (supplier integration, customer integration, cost, capacity utilization, flexibility, demand management, and time and value). One of the intriguing understandings from this paper is that most of the retail firms are in a dilemma between customer loyalty and cost while implementing the big data practices in their organization. This study analyses the dominance of the big data practices at the retail supply chain level. This helps the newly emerging retail firms in evaluating the best big data practice based on the importance and dominance of supply chain performance measures.</p><h2>Other Information</h2> <p> Published in: Annals of Operations Research<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10479-022-04749-6" target="_blank">http://dx.doi.org/10.1007/s10479-022-04749-6</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_44c0fb3b23f77979cbeb68fd15ecb65d |
| identifier_str_mv | 10.1007/s10479-022-04749-6 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21592341 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Impact of big data analytics on supply chain performance: an analysis of influencing factorsP. R. C. Gopal (14147799)Nripendra P. Rana (14047252)Thota Vamsi Krishna (14147805)M. Ramkumar (3905647)Commerce, management, tourism and servicesTransportation, logistics and supply chainsInformation and computing sciencesArtificial intelligenceData management and data scienceMulti criteria decision makingTODIMRetail supply chainsBig data practices<p>This paper aims to understand the impact of big data analytics on the retail supply chain. For doing so, we set our context to select the best big data practices amongst the available alternatives based on retail supply chain performance. We have applied TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) for the selection of the best big data analytics tools among the identified nine practices (data science, neural networks, enterprise resource planning, cloud computing, machine learning, data mining, RFID, Blockchain and IoT and Business intelligence) based on seven supply chain performance criteria (supplier integration, customer integration, cost, capacity utilization, flexibility, demand management, and time and value). One of the intriguing understandings from this paper is that most of the retail firms are in a dilemma between customer loyalty and cost while implementing the big data practices in their organization. This study analyses the dominance of the big data practices at the retail supply chain level. This helps the newly emerging retail firms in evaluating the best big data practice based on the importance and dominance of supply chain performance measures.</p><h2>Other Information</h2> <p> Published in: Annals of Operations Research<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10479-022-04749-6" target="_blank">http://dx.doi.org/10.1007/s10479-022-04749-6</a></p>2022-05-27T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10479-022-04749-6https://figshare.com/articles/journal_contribution/Impact_of_big_data_analytics_on_supply_chain_performance_an_analysis_of_influencing_factors/21592341CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215923412022-05-27T06:00:00Z |
| spellingShingle | Impact of big data analytics on supply chain performance: an analysis of influencing factors P. R. C. Gopal (14147799) Commerce, management, tourism and services Transportation, logistics and supply chains Information and computing sciences Artificial intelligence Data management and data science Multi criteria decision making TODIM Retail supply chains Big data practices |
| status_str | publishedVersion |
| title | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| title_full | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| title_fullStr | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| title_full_unstemmed | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| title_short | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| title_sort | Impact of big data analytics on supply chain performance: an analysis of influencing factors |
| topic | Commerce, management, tourism and services Transportation, logistics and supply chains Information and computing sciences Artificial intelligence Data management and data science Multi criteria decision making TODIM Retail supply chains Big data practices |