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The Impact of Motivational Factors on The Work Performance of Staff Nurses: Basis for Staff Development Program

Ralph Arjay DelaCruz, Tristan Joseph Dugang, John Rhaman Hernandez, Anroe Alan Cariaso, Izella Mae Delgado, Leonilyn Dimatera, Dennis Esquibel
Psychology and Education: A Multidisciplinary Journal · 2024-03-16 · DOI 10.5281/zenodo.10825401
Token #2670
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #2670.
Token#2670 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0x5b2ad38b0a112cf4eb9154c519b9cc0ea9865db634d765cadd9240c1c1be4020 · block 12099039
Minted2026-10-01 20:15 UTC
Hash on chain0x26b1a7349931c912369844e3dbf8c4388ce11dab3c66b0e50515320516beee92
SHA-256 of the record0x26b1a7349931c912369844e3dbf8c4388ce11dab3c66b0e50515320516beee92
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
Ralph Arjay DelaCruz 0x40AB72D0…5022c6 128,574 128,574
Tristan Joseph Dugang 0x6B4E6571…D7fDF2 128,571 128,571
John Rhaman Hernandez 0x56082790…0A0312 128,571 128,571
Anroe Alan Cariaso 0x214741d6…20642B 128,571 128,571
Izella Mae Delgado 0x67CE1804…D73a06 128,571 128,571
Leonilyn Dimatera 0xB4334622…C967bb 128,571 128,571
Dennis Esquibel 0xa43655D7…2Ed890 128,571 128,571

The anchored record

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

{"abstract":"Performance is influenced by motivation. Highly motivated nurses exhibit increased effort and enhanced effectiveness. Organizations have the ability to improve labor, patient outcomes, and healthcare. Healthcare facilities have challenges maintaining worker motivation. Multiple studies establish a connection between motivation, job satisfaction, and performance. Decreased employee performance negatively impacts employment productivity. Workers without motivation may exhibit poor performance. Assessing the influence of motivation on job performance has the potential to enhance staff nurse retention and performance at Metropolitan Medical Center. This study examines the impact of motivation on the job performance of the nursing staff at Metropolitan Medical Center. A quantitative descriptive research methodology was used to include 101 nurse participants through a process of simple random sampling. The statistical treatments used were weighted mean, ANOVA, linear regression, and percentage frequency distribution mean. Overall, motivation exerted a significant impact on the job performance of nurses. Nurses evaluate motivational factors and work performance as excellent and commendable, suggesting a high level of effectiveness. The demographics, motivation, and performance of nurses exhibit variability. The motivation and performance of staff nurses are influenced by factors such as age, marital status, level of education, and length of service. Based on the results of linear regression analysis, the p value of 0.0013 is found to be lower than the predetermined alpha value of 0.05. Therefore, it can be concluded that motivational variables have a significant impact on the job performance of nurse responders. In order to enhance worker engagement and salary, healthcare companies could focus on and promote \"low extent\" motivators. Nurses' time management, prioritizing, and decision-making may be enhanced through mentorship and seminars. Proposals were made to enhance standards and outcomes.","abstract_source":"original","authors":["Ralph Arjay DelaCruz","Tristan Joseph Dugang","John Rhaman Hernandez","Anroe Alan Cariaso","Izella Mae Delgado","Leonilyn Dimatera","Dennis Esquibel"],"date":"2024-03-16","doi":"10.5281/zenodo.10825401","id":2670,"issue":10,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"38167a326de9591006d19acf7a330a890589366942ccec387d7aae7bfd755265","schema":"scimatic-article/1","title":"The Impact of Motivational Factors on The Work Performance of Staff Nurses: Basis for Staff Development Program","volume":17}

Check it yourself

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

printf '%s' "$(curl -s https://scimatic.org/nft/articles/2670.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(2670)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000000a6e"},"latest"]}'

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