基于解释结构建模(ISM)方法的智能摄政发展关键因素分析

A. Darmawan, Mohammad Waail Al Wajieh, Agus Komarudin, Moh. Bhanu Setyawan, B. Umam, Rofiuddin Rofiuddin
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引用次数: 0

摘要

发展中国家电子政务实施的高失败率是研究其成功因素的动力。探索CSFs对于避免失败至关重要。然而,电子政府的实施并不简单。电子政务不仅仅是简单地将基于网络的技术引入政府,而是一个复杂的社会系统,它解决了最紧迫的社会问题。一些研究者已经探索了电子政务成功实施的关键成功因素(CSF),但没有找到令人满意的结果。根据文献检索,探索CSF和描述决定电子政务在包括印度尼西亚在内的发展中国家成功的关键因素之间关系的研究仍然很少。本研究旨在从决定智能摄政(Smart Regency)成功的因素中了解子元素间的联系关系,智能摄政是印度尼西亚在郊区实施电子政务的概念。使用的方法是解释结构模型(ISM)方法,这是J. Warfield根据元素之间的关系引入的一种元素排序方式。这项研究是由专家对影响明智摄政成功的11个因素之间的关系进行判断的。结果表明,前三个要素中最重要的因素是开放政府数据要素(第一级),其次是电子服务采用、公私合作(第二级)要素。这项研究有两个方面的贡献。一是理论方面的贡献,基于ISM视角对智慧城市成功的影响因素之间的关系进行科学研究;二是实践方面的贡献,为地方政府和利益相关者提供建议,让他们更加关注智慧城市的建设因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of The Critical Factors Influence Smart Regency Development with Interpretive Structural Modelling(ISM) Approach
The high failure rate of e-Government implementation in developing countries was the impetus for researching the factors influencing success. Exploring CSFs is crucial to avoid failures. However, e-Government implementation is not simple. E-Government is more than simply introducing web-based technologies to government, but it is a complex social system that addresses the most pressing social issues. Several researchers have explored Critical Success Factors (CSF) for e-Government implementation successful but have not found satisfactory results. Based on the literature search, there are still very few studies exploring CSF and describing the relationship among critical factors that determine the success of e-Government in developing countries, including Indonesia. This research aims to understand the relationship of inter-sub element linkage from the factors that determine the success of Smart Regency, a concept for implementing e-Government in Sub Urban areas in Indonesia. The method used is the Interpretive Structural Model (ISM) approach, a form of ranking elements introduced by J. Warfield based on the relationship between elements. The research was conducted by expert judgment on the relationship between 11 elements that influence the success of a smart regency. The results show that the top three elements' most significant factor was the Open Government Data element (level 1), followed by the E-Service Adoption, Public-Private Partnership (Level 2) element. This research contributes in two ways. The first is theoretically by providing scientific contributions to the relationship between factors that influence the success of smart districts based on the ISM perspective, and practical contributions by providing recommendations to local governments and stakeholders to pay more attention to the factors that build smart regencies.
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