Critical success factors for big data: a systematic literature review

ZA Al-Sai, R Abdullah, MH Husin - IEEE Access, 2020 - ieeexplore.ieee.org
During the last few decades, many organizations have started recognizing the benefits of
Big Data (BD) to drive their digital transformation and to gain faster insights from faster data …

Factors influencing effective use of big data: A research framework

FPS Surbakti, W Wang, M Indulska, S Sadiq - Information & Management, 2020 - Elsevier
Abstract Information systems (IS) research has explored “effective use” in a variety of
contexts. However, it is yet to specifically consider it in the context of the unique …

A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy

RC Reddy, B Bhattacharjee, D Mishra… - Information Systems and e …, 2022 - Springer
While embracing digitalization that is further accentuated by the Covid-19 pandemic, the real
business outcome is achieved through a robust and well-crafted 'Data Science …

Big data-Industry 4.0 readiness factors for sustainable supply chain management: Towards circularity

A Patil, A Dwivedi, MA Moktadir - Computers & Industrial Engineering, 2023 - Elsevier
Abstract Big data-Industry 4.0 interaction is expected to revolutionize the existing supply
chains in recent years. While increased operational efficiency and enhanced decision …

Managing big data in the retail industry of Singapore: Examining the impact on customer satisfaction and organizational performance

S Ying, S Sindakis, S Aggarwal, C Chen, J Su - European Management …, 2021 - Elsevier
Much of the research on big data analytics has been centered on technical or system
development. Research has been carried out on the usage of big data analytics to …

Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era

N Kumar, G Kumar, RK Singh - Journal of Enterprise Information …, 2022 - emerald.com
Purpose The study presents various barriers to adopt big data analytics (BDA) for
sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) …

Trusted decision-making: Data governance for creating trust in data science decision outcomes

P Brous, M Janssen - Administrative Sciences, 2020 - mdpi.com
Organizations are increasingly introducing data science initiatives to support decision-
making. However, the decision outcomes of data science initiatives are not always used or …

Conceptual model development of big data analytics implementation assessment effect on decision-making

C Adrian, R Abdullah, R Atan, YY Jusoh - 2018 - reunir.unir.net
The significance of big data advancement has benefited various organizations to leverage
the potential insights and capabilities of big data in organizational performance and decision …

Continuance use of cloud computing in higher education institutions: A conceptual model

YAM Qasem, R Abdullah, Y Yaha, R Atana - Applied Sciences, 2020 - mdpi.com
Resource optimization is a key concern for Higher Education Institutions (HEIs). Cloud
Computing, as the recent generation in computing technology of the fourth industrial …

Examining and comparing the critical success factors between business process management and business process automation

B Aysolmaz, A Joshi, M Stubhan - Journal of global information …, 2023 - igi-global.com
Organizations constantly seek for means of improving their business processes to remain
competitive. Recently, much effort has been devoted to business process automation (BPA) …