服务交付框架
服务提供商
服务设计
政府(语言学)
概念模型
知识管理
概念框架
服务(商务)
质量(理念)
服务质量
公共服务
业务
公共关系
服务体系
独创性
公共部门
服务水平目标
过程管理
营销
计算机科学
社会学
经济
政治学
定性研究
社会科学
语言学
哲学
认识论
数据库
经济
作者
Subashini Ramakrishnan,Meng Seng Wong,Myint Moe Chit,Dilip S. Mutum
出处
期刊:International Journal of Quality & Reliability Management
[Emerald Publishing Limited]
日期:2022-04-02
卷期号:39 (6): 1429-1452
被引量:8
标识
DOI:10.1108/ijqrm-10-2021-0371
摘要
Purpose This paper presents a conceptual model that links digital government service quality with organisational intelligence (OI) traits and occupational stress among the service providers in the public sector. Design/methodology/approach This is a conceptual paper that carries out a systematic review of the key literature from 1978 to 2021, concerning the evolution of models, scales and dimensions attributing to digital government service quality, OI traits and occupational stress. Following this, a new conceptual model is proposed to reflect the need of today's public service delivery from a broader perspective. Findings Based on the reviews of the existing models, there is no convincing evidence of the existence of a conceptual model that incorporates digital government service quality, OI traits and occupational stress from the public service providers' viewpoint. Therefore, a conceptual model, with occupational stress acting as a mediator between various OI traits and digital government service quality, is presented as a comprehensive framework to heighten the quality of the public service delivery. Originality/value This paper explores the gap in the current service quality studies and proposes a conceptual model that is more reflective of today's public service delivery. Firstly, it helps better understand digital government service quality from a much less focused area, the supply side (service providers) standpoint as opposed to the demand side (citizen) viewpoint (citizen). Secondly, it extends the understanding of performance and evaluation of public service delivery from perspectives such as knowledge utilisation, strategic alignment and participatory decision-making. Thirdly, it extends the literature on digital service quality from a non-technological perspective, as to how it is influenced by employees' psychological well-being factors.
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