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TRUVACE RECORD VERSION
record: TRV-2026-2740
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:17:15.860576Z
status: published
lens: g_space
sector: climate
headline: Big data analytics and the use of artificial intelligence in the services industry: a meta-analysis
dek: Big data analytics have impacted nearly every service industry in the last decade. Furthermore,using artificial intelligence in big data analytics has introduced a new trend, resulting in different performance types, e.g. sales, marketing, innovation, organizational, financial, and operational. A systematic review of the empirical results from publications addressing big data analytics in the services industry becomes necessary to understand these performances better. Based on this rationale, this study conducte…
gain_title: A meta-analysis of empirical studies on big data analytics in service industries found that analytics powered by AI improved service performance more than analytics adopted without AI.
problem_title: (none)
trace_subject: (none)
gain_reading: A meta-analysis of empirical studies on big data analytics in service industries found that analytics powered by AI improved service performance more than analytics adopted without AI.
gain_evidence: adopting big data analytics powered by artificial intelligence enhances service performance more than adopting big data analytics without using artificial intelligence
problem_reading: (none)
problem_evidence: (none)
quick_read: A meta-analysis in The Service Industries Journal pooled empirical results from publications on big data analytics in service industries. It tested whether artificial intelligence changes how much those analytics improve service performance. Its finding was that analytics powered by AI enhanced service performance more than analytics without AI.

The study looked at performance types including sales, marketing, innovation, organizational, financial and operational results. This matters because big data analytics has touched nearly every service industry over the last decade, and AI has added a new trend to how firms use it.

The analysis also identified what drives firms to adopt analytics in the first place. Environmental dynamism, resources and capabilities, and competitive pressure all pushed adoption, with environmental dynamism having the largest effect, followed by resources and capabilities.
limitation: 
tag: Evidence-backed gain
key_points: The study is a meta-analysis of empirical publications on big data analytics in the services industry. | AI was tested as a moderator of the effect of big data analytics on service performance. | Analytics powered by AI enhanced service performance more than analytics without AI. | Performance was examined across sales, marketing, innovation, organizational, financial and operational dimensions. | Environmental dynamism, resources and capabilities, and competitive pressure drove adoption of big data analytics. | Environmental dynamism had the greatest effect on adoption, followed by resources and capabilities.
rundown: The authors conducted a meta-analysis to identify the relevant dimensions of big data analytics and to evaluate AI as a potential moderator of its effects on service performance. They framed it as a systematic review of empirical results, needed to understand the different performance types better.

On adoption, the results show that environmental dynamism, resources and capabilities, and competitive pressure drive the use of big data analytics. Environmental dynamism, followed by resources and capabilities, has greater effects on adoption.

On performance, the findings suggest that AI-powered analytics enhances service performance more than analytics adopted without AI. The record reports this as a comparison across the pooled studies.
sources:
- peer_reviewed | The Service Industries Journal | https://doi.org/10.1080/02642069.2024.2374990 | 2024-07-14
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