利斯雷尔
活力
背景(考古学)
独创性
知识管理
结构方程建模
信息和通信技术
业务
服务(商务)
质量(理念)
医疗保健
服务质量
过程管理
运营管理
护理部
营销
计算机科学
医学
心理学
工程类
地理
政治学
哲学
创造力
法学
考古
万维网
社会心理学
认识论
量子力学
机器学习
物理
作者
Faisal Binsar,Tirta Nugraha Mursitama,Mohammad Hamsal,Rano Kartono Rahim
出处
期刊:Journal of Health Organisation and Management
[Emerald (MCB UP)]
日期:2024-08-30
被引量:1
标识
DOI:10.1108/jhom-04-2024-0130
摘要
Purpose The adoption of digital technology has not been able to overcome the problem of patient healthcare service quality in Indonesian hospitals, especially in lower middle-class hospitals that are widely distributed in the regions, because its utilization has not been well coordinated. This research explores the influence of Digital Adoption Capability (DAC) on Hospital Performance (HP) for these service problems. Design/methodology/approach This research used a quantitative methodology design approach. Survey data were collected from 285 leaders of class C and D hospitals throughout Indonesia, who were selected at simple random from March to August 2023. Data analysis was carried out using the structural equation modeling method with the help of LISREL version 8.80 software. Findings The research found a positive and significant influence of DAC on HP. Digital Leadership (DL) plays an important role in performance, both directly and indirectly. ICT Literacy (ICT) and Patient-Centric (PC) do not have a direct influence on HP but provide significant results through DAC. This research also found Environmental Dynamism (ED) factors that significantly drive the need to improve performance through digital adoption. Practical implications Providing insight into increasing the role of digital technology to connect healthcare workers and patients to produce safe and quality healthcare services in an ever-changing environmental condition. Originality/value This model is very important for the management of small hospital organizations in the context of adopting digital technology to be able to provide better services to patients and improve hospital performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI