Review2017

Factors influencing to the implementation success of big data analytics: A systematic literature review

Cecilia Adrian · Rusli Abdullah · Rodziah binti Atan · Yusmadi Yah Jusoh

43 citations0/0 files storedInternational Conference on Research and Innovation in Information Systems

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Big Data and Business Intelligence Information Technology Governance and Strategy Big Data Technologies and Applications

Abstract

Big data analytics (BDA) readiness factors have been widely researched; nevertheless, few have investigated the impact and success factors of BDA implementation in the organizational context. The relevance and quality of BDA outcomes have been a significant concern to the organizational leaders in supporting them for strategic decision-making. To that end, the objective of this study is twofold. Firstly, it investigates the factors that influencing the success of BDA implementation for effective decision-making. Secondly, this study adds to the body of knowledge in the information system (IS) domain, especially with its focus on BDA implementation packages. Based on 18 selected papers, this review has established 10 influencing factors that may influence the success of BDA implementation, therefore, contribute to the practice and research of BDA domain and its effectiveness towards the organizational performance enhancement.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 43 citations exist upstream.

References

2005A Theoretical Integration of User Satisfaction and Technology Acceptance 2016Big data analytics and firm performance: Effects of dynamic capabilities 2008Measuring information systems success: models, dimensions, measures, and interrelationships 2011A Guide to Conducting a Systematic Literature Review of Information Systems Research 2016Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations 2016How to improve firm performance using big data analytics capability and business strategy alignment?2016Toward the development of a big data analytics capability 2015The Challenges of Data Quality and Data Quality Assessment in the Big Data Era

Cited by

2023Big data-Industry 4.0 readiness factors for sustainable supply chain management: Towards circularity 2020Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes 2022A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy 2021Analyzing Continuance of Cloud Computing in Higher Education Institutions: Should We Stay, or Should We Go?

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.