Purpose

This study aims to uncover and develop explicit knowledge of existing smart communities (SCs) to guide services and business solutions for enterprises and serve community users in a well-thought-out manner. These sagacious frameworks will assist in analyzing trends and reaching out to pre-existing setups with different degrees of expertise.

Design/methodology/approach

A systematic overview is provided in this paper to unify insights and competencies toward building SCs; a hybrid analytical approach is used consisting of machine learning and bibliometric analysis. Scopus and Web of Science (WoS) are the primary databases for this purpose.

Findings

SCs implement cutting-edge technologies to enhance mobility, elevating information and communication technology (ICT) skills and data awareness while improving business processes and efficiency. This system of SC is an evolution of the conventional method. It provides a foundation for intelligent community services based on individual users and technologies such as the Internet of Things (IoT), artificial intelligence, cloud computing and big data. Manufacturing-based, service-based, retail-based, resource management and infrastructure-based SCs exist in the literature.

Originality/value

The paper summarizes a conceptual framework of SCs based on existing works around SCs. To the best of the authors’ knowledge, this is the first systematic literature review that uses a hybrid approach of topic modeling and bibliometric analysis to understand SCs better.

中文翻译：

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智能社区的沉思概述：混合分析方法

目的

本研究旨在发现和发展现有智慧社区（SC）的显性知识，以指导企业的服务和业务解决方案，并以深思熟虑的方式服务社区用户。这些睿智的框架将有助于分析趋势并利用不同专业知识程度的现有设置。

设计/方法论/途径

本文提供了系统的概述，以统一构建 SC 的见解和能力；使用由机器学习和文献计量分析组成的混合分析方法。Scopus 和 Web of Science (WoS) 是用于此目的的主要数据库。

发现

SC 采用尖端技术来增强移动性、提升信息和通信技术 (ICT) 技能和数据意识，同时改进业务流程和效率。该 SC 系统是传统方法的演变。为基于个人用户和物联网、人工智能、云计算、大数据等技术的智慧社区服务提供基础。文献中存在基于制造、基于服务、基于零售、资源管理和基础设施的供应链。

原创性/价值

本文基于 SC 的现有工作总结了 SC 的概念框架。据作者所知，这是第一篇使用主题建模和文献计量分析的混合方法来更好地理解 SC 的系统文献综述。