{"title":"SPAR-4和可持续运营：元分析的突破。","authors":"Madhu Arora, Vasim Ahmad, Arpit Walia, Saurav Negi, Jatinderkumar R Saini, Rupesh Kumar","doi":"10.12688/f1000research.160388.2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In a deglobalized world, operations are a major competitive force for industrialized economies, especially with the inclusion of the latest technologies. This study aims to meticulously examine the literature on analytics, operations and sustainability through assessment of contributing publications, nations, authors, and keywords that can provide new perspectives for the research domain.</p><p><strong>Methods: </strong>The SPAR-4 (Smart Prediction and Reporting for Analysis and Research) model when integrated with bibliometric analysis helps follow a systematic approach to conducting research review along with meta-analysis to evaluate important articles, trends, and major contributors in these fields. This study therefore underlines the changing significance of sustainability in operational strategies, assesses the interconnectedness of research areas, and identifies emerging themes.</p><p><strong>Results: </strong>The findings highlight the increasing significance of analytics in tackling sustainability issues, providing industry and academia with information to match operational procedures with sustainable development objectives.</p><p><strong>Conclusions: </strong>By deepening grasp of the research landscape, this study supports strategic decision-making for sustained competitive operational excellence for the policy makers and strategic decision-makers.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"145"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12438951/pdf/","citationCount":"0","resultStr":"{\"title\":\"SPAR-4 and sustainable operations: A meta-analytic breakthrough.\",\"authors\":\"Madhu Arora, Vasim Ahmad, Arpit Walia, Saurav Negi, Jatinderkumar R Saini, Rupesh Kumar\",\"doi\":\"10.12688/f1000research.160388.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In a deglobalized world, operations are a major competitive force for industrialized economies, especially with the inclusion of the latest technologies. This study aims to meticulously examine the literature on analytics, operations and sustainability through assessment of contributing publications, nations, authors, and keywords that can provide new perspectives for the research domain.</p><p><strong>Methods: </strong>The SPAR-4 (Smart Prediction and Reporting for Analysis and Research) model when integrated with bibliometric analysis helps follow a systematic approach to conducting research review along with meta-analysis to evaluate important articles, trends, and major contributors in these fields. This study therefore underlines the changing significance of sustainability in operational strategies, assesses the interconnectedness of research areas, and identifies emerging themes.</p><p><strong>Results: </strong>The findings highlight the increasing significance of analytics in tackling sustainability issues, providing industry and academia with information to match operational procedures with sustainable development objectives.</p><p><strong>Conclusions: </strong>By deepening grasp of the research landscape, this study supports strategic decision-making for sustained competitive operational excellence for the policy makers and strategic decision-makers.</p>\",\"PeriodicalId\":12260,\"journal\":{\"name\":\"F1000Research\",\"volume\":\"14 \",\"pages\":\"145\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12438951/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"F1000Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12688/f1000research.160388.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Pharmacology, Toxicology and Pharmaceutics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"F1000Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/f1000research.160388.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
SPAR-4 and sustainable operations: A meta-analytic breakthrough.
Background: In a deglobalized world, operations are a major competitive force for industrialized economies, especially with the inclusion of the latest technologies. This study aims to meticulously examine the literature on analytics, operations and sustainability through assessment of contributing publications, nations, authors, and keywords that can provide new perspectives for the research domain.
Methods: The SPAR-4 (Smart Prediction and Reporting for Analysis and Research) model when integrated with bibliometric analysis helps follow a systematic approach to conducting research review along with meta-analysis to evaluate important articles, trends, and major contributors in these fields. This study therefore underlines the changing significance of sustainability in operational strategies, assesses the interconnectedness of research areas, and identifies emerging themes.
Results: The findings highlight the increasing significance of analytics in tackling sustainability issues, providing industry and academia with information to match operational procedures with sustainable development objectives.
Conclusions: By deepening grasp of the research landscape, this study supports strategic decision-making for sustained competitive operational excellence for the policy makers and strategic decision-makers.
F1000ResearchPharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍：
F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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