Impact of Digital Technologies on Production Characteristics of Automotive Parts Manufacturers in Hubei, China

Allocation at minting

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"Competition in the automotive industry drives companies to reduce costs, accelerate development, and enhance processes. Digital technologies play a central role in meeting these demands. This study examines the impact of digital tools on the production practices of automotive parts manufacturers in Hubei Province, China, with a focus on assemblers, mechanics, and machine operators. Using a quantitative, descriptive-correlational design, the research surveyed 374 factory workers. Findings show that digital technology is moderately used, with core systems such as real-time production control and ERP well established; however, adoption of mobile and shop-floor technologies is lower. Production methods combine traditional mass production with growing capabilities for complex and customized orders. The use of digital technology is strongly linked to improved production characteristics, especially for machine operators. Unfortunately, the impact varies by role and is less pronounced for mechanics. These results suggest that tailored, role-specific technologies, rather than generic solutions, are most effective in achieving full digital integration and productivity gains. By highlighting the need for targeted digital strategies, this study offers valuable guidance for manufacturers aiming to compete in the evolving global market.","abstract_source":"original","authors":["Sheng Aihui","Gualberto Magdaraog"],"date":"2025-12-10","doi":"10.70838/pemj.500309","id":6852,"issue":3,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"eb9bdf5cfbbdea87c8fdd2b74d3dcca5562d41e511ae2612cfc72d9dd44745cf","schema":"scimatic-article/1","title":"Impact of Digital Technologies on Production Characteristics of Automotive Parts Manufacturers in Hubei, China","volume":50}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/6852.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(6852)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001ac4"},"latest"]}'

The two must be equal (the second with a 0x in front).