{"title":"Leadership styles and EMR adoption: insights from Bali's primary care clinics.","authors":"Made Indra Wijaya","doi":"10.1108/LHS-01-2025-0003","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to explore the influence of leadership styles, using full-range leadership theory (FRLT), and technology acceptance, guided by the technology acceptance model (TAM), on the implementation of electronic medical records (EMRs) in primary care settings in Bali.</p><p><strong>Design/methodology/approach: </strong>Using a mixed-methods approach, this research analyzes data from 120 primary care clinics in Bali with a total of 1,204 respondents. Quantitative data were collected through structured surveys assessing leadership styles and EMR acceptance, supplemented by qualitative insights from 30 interviews and 6 focus group discussions. Statistical methods, including the Chi-Square Test of Independence and pairwise comparisons using adjusted residuals, were used to examine the relationships between leadership styles, EMR adoption, perceived usefulness and ease of use.</p><p><strong>Findings: </strong>The Chi-Square Test of Independence revealed a significant association between leadership style and EMR adoption level (χ² = 30.33, <i>p</i> < 0.001). Transformational leadership was strongly associated with higher full EMR adoption rates, while Laissez-Faire leadership showed a significant association with no EMR adoption. Qualitative data supported these findings, emphasizing the critical role of proactive, supportive leadership in enhancing technology acceptance.</p><p><strong>Originality/value: </strong>This study uniquely integrates FRLT and TAM within the context of EMR adoption in Bali's health-care system, providing new insights into how leadership and technology perceptions interact to influence implementation outcomes in a diverse health-care environment.</p>","PeriodicalId":46165,"journal":{"name":"Leadership in Health Services","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leadership in Health Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/LHS-01-2025-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: This study aims to explore the influence of leadership styles, using full-range leadership theory (FRLT), and technology acceptance, guided by the technology acceptance model (TAM), on the implementation of electronic medical records (EMRs) in primary care settings in Bali.
Design/methodology/approach: Using a mixed-methods approach, this research analyzes data from 120 primary care clinics in Bali with a total of 1,204 respondents. Quantitative data were collected through structured surveys assessing leadership styles and EMR acceptance, supplemented by qualitative insights from 30 interviews and 6 focus group discussions. Statistical methods, including the Chi-Square Test of Independence and pairwise comparisons using adjusted residuals, were used to examine the relationships between leadership styles, EMR adoption, perceived usefulness and ease of use.
Findings: The Chi-Square Test of Independence revealed a significant association between leadership style and EMR adoption level (χ² = 30.33, p < 0.001). Transformational leadership was strongly associated with higher full EMR adoption rates, while Laissez-Faire leadership showed a significant association with no EMR adoption. Qualitative data supported these findings, emphasizing the critical role of proactive, supportive leadership in enhancing technology acceptance.
Originality/value: This study uniquely integrates FRLT and TAM within the context of EMR adoption in Bali's health-care system, providing new insights into how leadership and technology perceptions interact to influence implementation outcomes in a diverse health-care environment.