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• W3191361091 abstract "Purpose This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance followed by the selection of data quality dimensions to any organization's success. Design/methodology/approach A fuzzy analytic hierarchy process (AHP) based research methodology has been proposed and utilized to assign the criterion weights and to prioritize the identified speed, synthesis and significance (3S) indicators. Further, the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) technique has been used to measure the data quality dimensions considering 3S as criteria. Findings The effective indicators are identified from the past literature and the model confirmed with industry experts to measure these indicators. The results of this fuzzy AHP model show that the synthesis is recognized as the top positioned and most significant indicator followed by speed and significance are developed as the next level. These operational indicators contribute toward BDA and explore with their sub-categories' priority. Research limitations/implications The outcomes of this study will facilitate the businesses that are contemplating this technology as a breakthrough, but it is both a challenge and opportunity for developers and experts. Big data has many risks and challenges related to economic, social, operational and political performance. The understanding of data quality dimensions provides insightful guidance to forecast accurate demand, solve a complex problem and make collaboration in supply chain management performance. Originality/value Big data is one of the most popular technology concepts in the market today. People live in a world where every facet of life increasingly depends on big data and data science. This study creates awareness about the role of 3S encountered during big data quality by prioritizing using fuzzy AHP and PROMETHEE." @default.
• W3191361091 created "2021-08-16" @default.
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• W3191361091 date "2021-08-03" @default.
• W3191361091 modified "2023-09-27" @default.
• W3191361091 title "The role of 3S in big data quality: a perspective on operational performance indicators using an integrated approach" @default.
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• W3191361091 cites W1969390721 @default.
• W3191361091 cites W1974168849 @default.
• W3191361091 cites W1986428794 @default.
• W3191361091 cites W1986525510 @default.
• W3191361091 cites W2007343074 @default.
• W3191361091 cites W2008420823 @default.
• W3191361091 cites W2012955605 @default.
• W3191361091 cites W2032510388 @default.
• W3191361091 cites W2032711326 @default.
• W3191361091 cites W2066704625 @default.
• W3191361091 cites W2070669950 @default.
• W3191361091 cites W2071604995 @default.
• W3191361091 cites W2076684951 @default.
• W3191361091 cites W2082198256 @default.
• W3191361091 cites W2092553756 @default.
• W3191361091 cites W2118023920 @default.
• W3191361091 cites W2118457689 @default.
• W3191361091 cites W2131307433 @default.
• W3191361091 cites W2176027998 @default.
• W3191361091 cites W2182756997 @default.
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• W3191361091 doi "https://doi.org/10.1108/tqm-02-2021-0062" @default.
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