6 research outputs found

    Factors affecting resignation intention of hospital managerial personnels in a hospital.

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    ๋ณด๊ฑดํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋ณ‘์›์€ ๋‹ค์–‘ํ•œ ์ง์ข…์˜ ์ธ๋ ฅ๋“ค์ด ๋ชจ์—ฌ ํ•˜๋‚˜์˜ ํŒ€์„ ์ด๋ฃจ์–ด ํ™œ๋™ํ•˜๋Š” ๊ณณ์œผ๋กœ์„œ ๊ฐ๊ธ‰ ์ง์กฐ์˜ ์—…๋ฌด๋Š” ์„ธ๋ถ„ํ™”์™€ ์ „๋ฌธํ™”์˜ ๋„๋ฅผ ๋”ํ•ด๊ฐ€๊ณ  ์žˆ๋‹ค. ๋ณ‘์›ํ–‰์ •์ง์›์€ ์ง„๋ฃŒ์„œ๋น„์Šค์™€ ์ง์ ‘์ ์ธ ๊ด€๊ณ„๋Š” ์—†์œผ๋‚˜ ์–‘์งˆ์˜ ์˜๋ฃŒ๋ฅผ ํšจ๊ณผ์ ์ด๊ณ  ๋Šฅ๋ฅ ์ ์œผ๋กœ ์„œ๋น„์Šคํ•˜๊ธฐ ์œ„ํ•œ ์ง€์›์—…๋ฌด๋ฅผ ๋‹ด๋‹นํ•˜๊ณ  ์žˆ์œผ๋ฏ€๋กœ ํ–‰์ •์ง์›์˜ ์ด์ง์€ ๊ณ„์†์ ์ธ ๊ด€๋ฆฌ๊ธฐ์ˆ ๊ณผ ์—…๋ฌด์ˆ ๋ จ์— ์žฅ์• ๊ฐ€ ๋˜๋ฉฐ ์ด๋กœ์ธํ•œ ํ”ผํ•ด๋Š” ํ˜„๊ธˆ ๋น„์šฉ ์ด์ƒ์ด๊ธฐ์— ๋ณ‘์›ํ–‰์ •์ง์›์— ๋Œ€ํ•œ ์ด์ง ๊ด€๋ฆฌ๋Š” ์ค‘์š”ํ•œ ์˜๋ฏธ๋ฅผ ๊ฐ€์ง„๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณ‘์›ํ–‰์ •์ง์›์˜ ์ด์ง ์˜์‚ฌ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ๊ตฌ๋ช…ํ•˜๊ณ ์ž ์„œ์šธ์‹œ๋‚ด 1000๋ณ‘์ƒ ๊ทœ๋ชจ์˜ ํ•œ ๋ณ‘์›์— ๊ทผ๋ฌดํ•˜๊ณ ์žˆ๋Š” ํ–‰์ •์ง์› 164๋ช…์„ ๋Œ€์ƒ์œผ๋กœ 1987๋…„ 10์›” 2์ผ๋ถ€ํ„ฐ 10์›” 13์ผ ์‚ฌ์ด์— ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ์‘๋‹ต์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ ์ค‘ ๊ธฐํ˜ผ์ž ์ง‘๋‹จ์ด ๋ฏธํ˜ผ์ž ์ง‘๋‹จ๋ณด๋‹ค ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ์ด์ง ์˜์‚ฌ๊ฐ€ ๋‚ฎ์•˜์œผ๋‚˜ ์ด์ง ์˜์‚ฌ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ์œ ์˜ํ•œ ๋ณ€์ˆ˜๋กœ ์ฑ„ํƒ๋˜์ง€ ์•Š์•˜๋‹ค. 2. ์‘๋‹ต์ž์˜ ์—ญํ• ๋ชจํ˜ธ๋Š” ๋‚ฎ์€ ๋ฐ˜๋ฉด์— ์ธ์‹ํ•˜๊ณ  ์žˆ๋Š” ์—ญํ• ๊ฐˆ๋“ฑ์€ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์•˜์œผ๋‚˜ ๋‘ ๋ณ€์ˆ˜ ๋ชจ๋‘ ์ด์ง ์˜์‚ฌ์™€ ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ด€๊ณ„๊ฐ€ ์—†์—ˆ๋‹ค. 3. ์ง๋ฌด ์š”์ธ ์ค‘ ์•ˆ์ •๊ฐ์ด ์ด์ง ์˜์‚ฌ์™€ ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•œ ์—ญ์ƒ๊ด€ ๊ด€๊ณ„๊ฐ€ ์žˆ๋Š”๋ฐ ์•ˆ์ •๊ฐ์œผ๋กœ ์ „์ฒด ์ด์ง ์˜์‚ฌ์˜ 11.1%๋ฅผ ์„ค๋ช…ํ•˜์˜€๋‹ค. ์ด์ƒ์˜ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•˜๋ฉด ๋ณ‘์›ํ–‰์ •์ง์›์˜ ์ด์ง ์˜์‚ฌ์— ์•ˆ์ •๊ฐ์ด ๊ด€๋ จ๋˜๋ฉฐ ์ด๋ฅผ ๋ณ‘์›์ •์ฑ…์— ๋ฐ˜์˜ํ•œ๋‹ค๋ฉด ๋ณ‘์›ํ–‰์ •์ง์›์˜ ์ž๋ฐœ์  ์ด์ง ์˜์‚ฌ๋ฅผ ๊ฐ์†Œ์‹œํ‚ค๋ฏ€๋กœ์„œ ๋ณ‘์›ํ–‰์ •์ง์›์˜ ์ด์ง๊ด€๋ฆฌ์— ๋„์›€์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ์—์„œ ์ด์ง ์˜์‚ฌ๋ฅผ ์„ค๋ช…ํ•˜๋Š” ๋ณ€์ˆ˜๋กœ ์•ˆ์ •๊ฐ์ด ์ฑ„ํƒ๋˜์—ˆ์œผ๋‚˜ ์ด ์—ฐ๊ตฌ์—์„œ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ•œ ๋‹ค์–‘ํ•œ ์™ธ์  ์š”์ธ์„ ํฌํ•จํ•œ ์ด์ง ์˜์‚ฌ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์žˆ์–ด์•ผ ํ•˜๋ฆฌ๋ผ ์ƒ๊ฐํ•œ๋‹ค. [์˜๋ฌธ] This study attempts to determine the factors affecting resignation intention of hospital managerial personnels. The subjects consisted of 164 hospital managerial personnels who were employed in general hospital in Seoul. Data were collected through a survey conducted from October 6 to October 16 by means of self-administered questionnaires. The results were as follows: 1. Marital status of the subjects was statistically significant for resignation intention. 2. Role stress was not statistically significant for resignation intention. 3. Between the resignation intention and work satisfaction factors, the following variables were statistically significant: pay, supervision, co-worker, promotion and recognition. 4. From the multiple stepwise regression analysis on resignationr intention, recognition was only significant variable. These results suggest that recognition is important factor for hospital managerial personnel's resignation intention even though it only accounted for resignation intention less than 12%. Since there are other factors affecting resignation intention such as personality, environment factor of hospital, further study is needed to investigated these factors in other to improve the management of hospital managerial personnels.restrictio

    An analysis of direct financial compensation of hospital personnels

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    ๋ณด๊ฑดํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณ‘์› ์ธ๋ ฅ์˜ ์ง์ข…๋ณ„ ์ž„๊ธˆ ์ˆ˜์ค€ ๋ฐ ๊ฐ„ํ˜ธ์ง ์ž„๊ธˆ ๋Œ€๋น„ ํ•ด๋‹น์ง์ข… ์ž„๊ธˆ๋น„๋ฅผ ํ†ตํ•ด ๋™์ผ ์ง์ข…์˜ ๋ณ‘์›๊ฐ„ ์ƒ๋Œ€์  ์ค‘์š”์„ฑ์„ ํŒŒ์•…ํ•˜๊ณ  ์ž„๊ธˆ ์ˆ˜์ค€์˜ ๊ฒฐ์ • ์š”์ธ์„ ๊ตฌ๋ช…ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ „๊ตญ์˜ 145๊ฐœ ๋ณ‘์›์„ ๋Œ€์ƒ์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๋ถ„์„ ๋‹จ์œ„๋Š” ๋ณ‘์›์ด๋ฉฐ ์—ฐ๊ตฌ ์ž๋ฃŒ ์ค‘ ์˜๋ฃŒ๊ธฐ๊ด€ ํŠน์„ฑ ๋ฐ ์ œ ์š”์ธ์€ 1993๋…„ ์ž๋ฃŒ์ด๋ฉฐ ๊ฐ ์ง์ฆ๋ณ„ ์ดˆ์ž„ ๊ธฐ์ค€ ์—ฐ๋ด‰์€ 1994๋…„ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์˜€๋‹ค. ์ž„๊ธˆ ์ˆ˜์ค€ ๋ฐ ๊ฐ„ํ˜ธ์ง ์ž„๊ธˆ ๋Œ€๋น„ ํ•ด๋‹น ์ง์ข… ์ž„๊ธˆ๋น„๋ฅผ ์ด์šฉํ•˜์—ฌ ์ž„๊ธˆ์„ ํ†ตํ•ด ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š” ๋™์ผ ์ง์ข…์˜ ๋ณ‘์›๊ฐ„ ์ฐจ์ด(์ƒ๋Œ€์  ์ค‘์š”์„ฑ)๋ฅผ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ๋‹จ์ผ ๋ณ€๋Ÿ‰ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ ๊ฐ ์ง์ข…๋ณ„ ์ž„๊ธˆ ์ˆ˜์ค€์˜ ๊ฒฐ์ • ์š”์ธ์„ ๊ตฌ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘ ํšŒ๊ท€ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ์ž„๊ธˆ ์ˆ˜์ค€ ํ•ด๋‹น ์ง์ข… ์ดˆ์ž„์„ ๊ธฐ์ค€์œผ๋กœ ์กฐ์‚ฌํ•œ ๊ฒฐ๊ณผ ์˜์‚ฌ์ง์˜ ๊ฒฝ์šฐ 45,056์ฒœ์›(์ตœ์†Œ 25,000-์ตœ๋Œ€ 74,600)์ด์—ˆ์œผ๋ฉฐ ๊ฐ„ํ˜ธ์‚ฌ์ง์€ 9,222์ฒœ์›(์ตœ์†Œ 6,000-์ตœ๋Œ€ 12,768), ์˜๋ฃŒ๊ธฐ์‚ฌ์ง์€ 9,513์ฒœ์›(์ตœ์†Œ 6,156-์ตœ๋Œ€ 14,400), ์‚ฌ๋ฌด์ง์€ 9,185์ฒœ์›(์ตœ์†Œ 5,640-์ตœ๋Œ€ 13,656)์ด์—ˆ๋‹ค. 2. ์ง์ข…๋ณ„ ์ƒ๋Œ€์  ์ค‘์š”์„ฑ ๊ฐ€. ๊ฐ„ํ˜ธ์‚ฌ์ง ๋Œ€๋น„ ์˜์‚ฌ์ง ์ž„๊ธˆ๋น„์˜ ๊ฒฝ์šฐ ๋‹จ์ผ ๋ณ€๋Ÿ‰ ๋ถ„์„ ๊ฒฐ๊ณผ ๋ณ‘์›์ข…๋ณ„, ๋…ธ๋™์กฐํ•ฉ ๊ฒฐ์„ฑ ์—ฌ๋ถ€์— ๋”ฐ๋ผ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋ณ‘์›์ข…๋ณ„๋กœ๋Š” 3์ฐจ๋ณ‘์›๋ณด๋‹ค ๋ณ‘์›๊ธ‰ ์˜๋ฃŒ๊ธฐ๊ด€์—์„œ์˜ ์ž„๊ธˆ๋น„๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†“์•˜๋‹ค. ์ด๋Š” ๋ณ‘์›์˜ ๊ทœ๋ชจ์— ๋”ฐ๋ผ ์˜์‚ฌ์ง ์ž„๊ธˆ ์ˆ˜์ค€์— ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค๋Š” ์—ฐ๊ตฌ ๊ฐ€์„ค์„ ์ˆ˜์šฉํ•˜๋Š” ๊ฒฐ๊ณผ์ด๋‹ค. ์ด์™€ ํ•จ๊ป˜ ๋…ธ๋™์กฐํ•ฉ์ด ๊ฒฐ์„ฑ๋œ ์˜๋ฃŒ๊ธฐ๊ด€๋ณด๋‹ค ๋…ธ๋™์กฐํ•ฉ์ด ๊ฒฐ์„ฑ๋˜์–ด ์žˆ์ง€ ์•Š์€ ์˜๋ฃŒ๊ธฐ๊ด€์—์„œ์˜ ์ž„๊ธˆ๋น„๊ฐ€ ๋†’์•„ ๋…ธ๋™์กฐํ•ฉ ๊ฒฐ์„ฑ ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ์—ฐ๊ตฌ ๊ฐ€์„ค์„ ์ˆ˜์šฉํ•˜์˜€๋‹ค. ๋‚˜. ์˜๋ฃŒ๊ธฐ์‚ฌ์ง ์ž„๊ธˆ๋น„์˜ ๊ฒฝ์šฐ ๋ฏผ๊ฐ„ ๋ณ‘์›์ด ๊ณต๊ณต ๋ณ‘์›๋ณด๋‹ค ๋†’์•˜๊ณ  ๋ณ‘์ƒ ๊ทœ๋ชจ๋กœ๋Š” 100-159๋ณ‘์ƒ๊ธ‰์—์„œ ๊ฐ€์žฅ ๋†’์•˜๋‹ค. ์ด๋Š” ์˜๋ฃŒ๊ธฐ์‚ฌ์ง์˜ ๊ฒฝ์šฐ ๋ฏผ๊ฐ„ยท๊ณต๊ณต์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ์ž„๊ธˆ ์ˆ˜์ค€์˜ ์ฐจ์ด์™€ ๊ทœ๋ชจ์— ๋”ฐ๋ฅธ ์ž„๊ธˆ ์ˆ˜์ค€์˜ ์ฐจ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๊ฐ€์„ค์„ ์ˆ˜์šฉํ•˜๋Š” ๊ฒฐ๊ณผ์ด๋‹ค. ๋‹ค. ์‚ฌ๋ฌด์ง ์ž„๊ธˆ๋น„์˜ ๊ฒฝ์šฐ ๋ฏผ๊ฐ„ ๋ณ‘์›์ด ๊ณต๊ณต ๋ณ‘์›๋ณด๋‹ค ๋†’์•˜๊ณ  3์ฐจ๋ณ‘์›์—์„œ์˜ ์ž„๊ธˆ๋น„๊ฐ€ ํƒ€ ์ข…๋ณ„ ์˜๋ฃŒ๊ธฐ๊ด€์— ๋น„ํ•ด ๋†’์•„ ๋ฏผ๊ฐ„ ยท๊ณต๊ณต ์—ฌ๋ถ€์— ๋”ฐ๋ฅธ ์ž„๊ธˆ ์ˆ˜์ค€์˜ ์ฐจ์ด์™€ ๋ณ‘์› ๊ทœ๋ชจ์— ๋”ฐ๋ฅธ ์ž„๊ธˆ ์ˆ˜์ค€ ์ฐจ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๊ฐ€์„ค์„ ์ˆ˜์šฉํ•˜์˜€๋‹ค. 3. ์ž„๊ธˆ ๊ฒฐ์ • ์š”์ธ ๊ฐ ์ง์ข…๋ณ„ ์ž„๊ธˆ ์ˆ˜์ค€์— ๋Œ€ํ•œ ํšŒ๊ท€ ๋ถ„์„ ๊ฒฐ๊ณผ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค. ๊ฐ€. ์˜์‚ฌ์ง ์ž„๊ธˆ ๊ฒฐ์ • ์š”์ธ๊ณผ ๊ด€๋ จํ•˜๋ ค ์ œ ์š”์ธ ์ค‘ ์œ ์˜ํ•œ ์ฐจ์ด๋ฅผ ๋ณด์ธ ๋ณ€์ˆ˜๋Š” ์—†์—ˆ๋‹ค. ๋‚˜. ๊ฐ„ํ˜ธ์‚ฌ์ง ์ž„๊ธˆ ๊ฒฐ์ • ์š”์ธ๊ณผ ๊ด€๋ จํ•˜์—ฌ 100๋ณ‘์ƒ๋‹น ์˜๋ฃŒ์ˆ˜์ต์ด ๋†’์„์ˆ˜๋ก ์ž„๊ธˆ ์ˆ˜์ค€์ด ๋†“์•˜์œผ๋ฉฐ 3์ฐจ๋ณ‘์›์˜ ์ž„๊ธˆ ์ˆ˜์ค€์ด ๋ณ‘์›๊ธ‰ ์˜๋ฃŒ๊ธฐ๊ด€์— ๋น„ํ•ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. ๊ฐ„ํ˜ธ์‚ฌ์ง ์ž„๊ธˆ ์ˆ˜์ค€์— ๋Œ€ํ•œ ํšŒ๊ท€ ๋ชจํ˜•์˜ ์ˆ˜์ •๋œ ๊ฒฐ์ • ๊ณ„์ˆ˜๋Š”35.7%์˜€๋‹ค. ๋‹ค. ์˜๋ฃŒ๊ธฐ์‚ฌ์ง ์ž„๊ธˆ ์ˆ˜์ค€๊ณผ ๊ด€๋ จํ•˜์—ฌ 100๋ณ‘์ƒ๋‹น ์˜๋ฃŒ์ˆ˜์ต์ด ๋†’์„์ˆ˜๋ก, 3์ฐจ๋ณ‘์›์ด ๊ธฐํƒ€ ์ข…๋ณ„ ์˜๋ฃŒ๊ธฐ๊ด€๋ณด๋‹ค, ์ยท๋ฉด์ง€์—ญ ์†Œ์žฌ ์˜๋ฃŒ๊ธฐ๊ด€์—์„œ์˜ ์ž„๊ธˆ ์ˆ˜์ค€์ด ํŠน๋ณ„ ยท๊ด‘์—ญ์‹œ ๋˜๋Š” ์‹œ์ง€์—ญ ์†Œ์žฌ ์˜๋ฃŒ๊ธฐ๊ด€๋ณด๋‹ค ๋†’์•˜์œผ๋ฉฐ ํ†ต๊ณ„์ ์œผ๋กœ๋„ ์œ ์˜ํ•œ ์ˆ˜์ค€์ด์—ˆ๋‹ค. ์˜๋ฃŒ๊ธฐ์‚ฌ์ง ์ž„๊ธˆ ์ˆ˜์ค€์— ๋Œ€ํ•œ ํšŒ๊ท€ ๋ชจํ˜•์˜ ์ˆ˜์ •๋œ ๊ฒฐ์ •๊ณ„์ˆ˜๋Š” 26.3%์˜€๋‹ค. ๋ผ. ์‚ฌ๋ฌด์ง ์ž„๊ธˆ ์ˆ˜์ค€๊ณผ ๊ด€๋ จํ•˜์—ฌ 100๋ณ‘์ƒ๋‹น ์˜๋ฃŒ์ˆ˜์ต์ด ๋†’์„์ˆ˜๋ฅต, ์ยท๋ฉด์ง€์—ญ ์†Œ์žฌ ์˜๋ฃŒ๊ธฐ๊ด€์ด ์‹œ์ง€์—ญ ์†Œ์žฌ ์˜๋ฃŒ๊ธฐ๊ด€๋ณด๋‹ค, 3์ฐจ ๋ณ‘์›์ด ๊ธฐํƒ€ ์ข…๋ณ„ ์˜๋ฃŒ๊ธฐ๊ด€๋ณด๋‹ค ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. ์‚ฌ๋ฌด์ง ์ž„๊ธˆ ์ˆ˜์ค€์— ๋Œ€ํ•œ ํšŒ๊ท€ ๋ชจํ˜•์˜ ์ˆ˜์ •๋œ ๊ฒฐ์ •๊ณ„์ˆ˜๋Š” 46.4%์˜€๋‹ค. [์˜๋ฌธ] Compensation is a major function of human resource management. The hospital industry is characterized by its remarkable labor intensity and human resource input by unit. That is why the hospital industry has a higher level of wage/cost ratio. The issues of how much the hospital personnel's direct financial compensation amounts to and how the organizational and other factors generate compensation differentiation, are central problems for research in hospitals. But there have been few approaches to study staff compensation in the hospitals, its magnitude and inter-hospital relative compensation amounts for the same personnel. A worker who moves from low- to a high-wage employer can usually increase his or her pay without change in job description. This means in the cases of same jobs, relative importance is different for each hospitals. The purpose of this study were to find the compensation levels of hospital personnels and to evaluate relative importance of the hospital health professionals and to determine the factors affecting compensation levels of hospital personnels. The unit of analysis is the hospital and 145 hospitals were studied for nurse(RN), medical technologist(MT), managerial personnel(MP) and 100 hospitals for me์•ผcal doctor(MD). In this study the definitions of direct financial compensation are before tax, excluding employer's contribution and total annual remuneration received by the employee. Main findings of the research can be summarized as follows. 1. Direct financial compensation of hospital personnel are MD ๏ฟฆ45,056,000, RN ๏ฟฆ9,222,000, MT ๏ฟฆ9,513,000 and MP ๏ฟฆ9,185,000 in the starting year's employment in hospital. 2. Relative with importance of hospital personnels, type of hospital and union status which were statistically significant on MD compensation/RN compensation ratio. The tertiary hospital's compensation ratio is less than other lower class hospital. Private facilitie's ratio is higher than public facilities' and hospitals that have a union are higher too than non-union facilities for MT compensation. For the MP's ratio, private facilities' ratio is greater than public facilities' and hospitals with beds range between 100 to 159 mark the highest ratio. 3. According to determinants of hospital personnels compensations, there are no statistical significant variables to determine the level of MD's compensation. With RN and MT's compensation Bevel, the greater the patient revenue per 100 hospital beds, the higher the RN compensation and the tertiary hospital's compensation is much more than other types of hospitals. The location of hospital is another determinant factor for the MT's compensation level. Hospitals that are in the urban area have lower compensation level than rural area. There are the same results in MP with MT. Conclusions can be drawn from the results of the study. First, the wage differentiation of MD and other health personnels still remains and the differentiation existed in inter and intra job personnel of hospitals. Second, these empirical results illustrate the utility of a resource dependency model approach for explaining structural sources of income difference. This analysis has been grounded on insights derived from resource dependency model, but I have supplemented this theory with ideas obtained from other approaches to the research of income. Consistent with resource dependency model, there is a relative importance of the hospital health Professions between hospitals. Third, determinants of hospital personnel compensation level are patient revenue, location, and type of hospital level.restrictio
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