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Paper Type
Complete
Description
Many organizations have on-premises data storage systems that are evolving; among them is Big Data (BD). BD is a data storage system that can analyze large volumes, with velocity, and a variety of data. Per the Economist, data is now the most valuable resource. BD holds the promise of unlocking substantial parts. Many organizations want to implement BD but have not been able to. There is a need to identify key factors affecting adoptions for such organizations. The following factors are identified as (novel): data storage latency, ability to compute, data storage interface compatibilities, open-source software, and enterprise-sourced software, or (under-studied): cost, perceived industry pressure, legislation barriers, and market turbulence. These factors were studied empirically with DOI and TOE by conducting a survey and performing quantitative PLS-SEM analysis. This analysis showed that these adoption factors are significant: data storage interface compatibility, open-source, enterprise-source software, cost, industry pressure, and market turbulence.
Paper Number
1689
Recommended Citation
Alnafoosi, Ahmad Basim and Steinbach, Theresa A., "Empirical Assessment of Big Data Technology Adoption Factors for Organizations with Data Storage Systems" (2023). AMCIS 2023 Proceedings. 31.
https://aisel.aisnet.org/amcis2023/sig_adit/sig_adit/31
Empirical Assessment of Big Data Technology Adoption Factors for Organizations with Data Storage Systems
Many organizations have on-premises data storage systems that are evolving; among them is Big Data (BD). BD is a data storage system that can analyze large volumes, with velocity, and a variety of data. Per the Economist, data is now the most valuable resource. BD holds the promise of unlocking substantial parts. Many organizations want to implement BD but have not been able to. There is a need to identify key factors affecting adoptions for such organizations. The following factors are identified as (novel): data storage latency, ability to compute, data storage interface compatibilities, open-source software, and enterprise-sourced software, or (under-studied): cost, perceived industry pressure, legislation barriers, and market turbulence. These factors were studied empirically with DOI and TOE by conducting a survey and performing quantitative PLS-SEM analysis. This analysis showed that these adoption factors are significant: data storage interface compatibility, open-source, enterprise-source software, cost, industry pressure, and market turbulence.
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