<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>02387nam a22002177a 4500</leader>
  <controlfield tag="001">15784</controlfield>
  <controlfield tag="003">OCLRC</controlfield>
  <controlfield tag="005">20260731013017.0</controlfield>
  <controlfield tag="008">240603t        xxu||||| |||| 00| 0 eng d</controlfield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="a">OCLRC</subfield>
  </datafield>
  <datafield tag="082" ind1=" " ind2=" ">
    <subfield code="a">T 658 2023 489</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Romero, Catherine T.</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Factors affecting employee attrition rate among selected laboratory and diagnostic clinics in Las Pin&#xCC;&#x83;as City:</subfield>
    <subfield code="b">inputs for the development of employee retention program/</subfield>
    <subfield code="c">Catherine T. Romero.</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">Paran&#xCC;&#x83;aque City:</subfield>
    <subfield code="b">Olivarez College,</subfield>
    <subfield code="c">2023.</subfield>
  </datafield>
  <datafield tag="502" ind1=" " ind2=" ">
    <subfield code="a">Master Thesis</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">The study intended to analyze the factors affecting attrition rate among employees of selected laboratory and diagnostic clinics in Las Pin&#xCC;&#x83;as City. The output of the study aimed to provide the management with the perspective; ability to evaluate, measure and improve productivity and performance through relevant and systemized information for decision making. In gathering the data, produce information and achieve its purposes, the researcher utilized the qualitative descriptive correlational method through a self-assessment survey disseminated to 40 employees across four laboratory and diagnostics clinics in Las Pin&#xCC;&#x83;as City.  Results showed that most of the respondents are classified as those who are in early adult age. The younger workforce demonstrates competitiveness, and efficiency, and can easily deal with any changing up-to-date technology which makes them employed by the laboratory and diagnostics clinic industry.  Consequently, the relationship between the employees' productivity, performance, and length of their stay at work in each laboratory and diagnostics clinic where they are hired is determined by different factors which affect their attrition rate.  Thus, this research aimed to provide input for the development of an employee retention program. Through this, there are different proposed programs to improve each company's implementation of human resource management operation program as a part of business continuous developments which will acknowledge people and culture at work by providing meaningful benefits, ongoing training, workplace environment, and mission and values alignment.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Employee retention rate.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Laboratory and diagnostic clinics.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Employee retention program.</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">THES</subfield>
    <subfield code="j">T 658 2023 489</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">15784</subfield>
    <subfield code="d">15784</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="a">LRC</subfield>
    <subfield code="b">GSL</subfield>
    <subfield code="d">2026-07-31</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">T 658 2023 489</subfield>
    <subfield code="r">2026-07-31 01:30:17</subfield>
    <subfield code="w">2026-07-31</subfield>
    <subfield code="y">THES</subfield>
  </datafield>
</record>
