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BukuEnablers And Inhibitors Of Effective Use Of Big Data: Insights From A Case Study (paper in Proceedings of The 22nd Pacific Asia Conference on Information Systems (PACIS 2018))
Bibliografi
Author: Surbakti, Feliks Prasepta Sejahtera ; Wei Wang ; Indulska, Marta ; Sadiq, Shazia
Topik: Effective Use; Big Data; Enablers; Inhibitors; Definition; JABFUNG-FT-FPSS-2023-01
Bahasa: (ID )    
Penerbit: Association for Information Systems (AIS) Electronic Library (AISeL)     Tempat Terbit: Yokohama, Japan    Tahun Terbit: 2018    
Jenis: Article - diterbitkan dalam Proceeding Internasional
Fulltext: 1 Surbakti et al_2018_Enablers and Inhibitors Effective_Use_of_Big_Data_Insights_from_a_case_study.pdf (423.67KB; 1 download)
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Abstract
Big data has attracted significant attention in recent years due to its potential. While many organisations have access to big data, there is a lack of evidence and guidance on effective use of big data. Information systems research has explored effective use in a variety of contexts. However , it is yet to specifically consider the unique characteristics of big data. This paper presents the results of an empirical study that aimed to identify significant enablers and inhibitors of effective use of big data using an exploratory case study as a research method. We found adequate system capabilities, established the culture of collaboration, and good working attitude to be the key enablers and poor data quality, lack of data understanding, data silos, lack of time, lack of cost-benefit analysis, lack of top management support, and lack of technical skills to be the key inhibitors.
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