Emotional Intelligence, Engagement, Work-life Balance, and Job Performance Among Employees: Bases for a Well-being Program

Allocation at minting

The anchored record

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

{"abstract":"This study examined the interrelationships among emotional intelligence, employee engagement, work-life balance, and job performance to inform the development of a well-being program for employees in the manufacturing sector in Fujian, China. Utilizing a quantitative-correlational design, data were gathered from 300 randomly selected employees through standardized scales. Findings revealed that emotional intelligence is positively and strongly correlated with employee engagement but negatively and weakly associated with work-life balance. Employee engagement also showed a weak negative correlation with work-life balance. No significant differences in emotional intelligence, engagement, work-life balance, and job performance were found across demographic variables such as sex, age, civil status, educational attainment, salary, and tenure. The results underscore the importance of emotional intelligence and engagement as key drivers of job performance, independent of demographic factors. These insights highlight the need for inclusive organizational strategies that foster emotional competencies and engagement while supporting work-life balance. The study concludes with the formulation of a well-being program to enhance workplace effectiveness and employee satisfaction.","abstract_source":"original","authors":["Zhihuang Lai","Carmen Hernandez"],"date":"2025-05-24","doi":"10.70838/pemj.380501","id":5300,"issue":5,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"8ae6290dbfdebeb90bdd3ebf3fded6da6758edda9e9d02c8822e3253f7b73b75","schema":"scimatic-article/1","title":"Emotional Intelligence, Engagement, Work-life Balance, and Job Performance Among Employees: Bases for a Well-being Program","volume":38}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/5300.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(5300)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c29000000000000000000000000000000000000000000000000000000000000014b4"},"latest"]}'

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