Surabhi Sakshi, Praveen Ranjan Srivastava, Sachin K. Mangla, Amol Singh
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引用次数: 0
摘要
本研究旨在揭示和开发现有智能社区(SCs)的明确知识,以指导企业的服务和业务解决方案,并以深思熟虑的方式为社区用户服务。这些明智的框架将有助于分析趋势,并与具有不同专业知识程度的现有机构接触。设计/方法论/方法本文提供了一个系统的概述,以统一建立SCs的见解和能力;采用混合分析方法,包括机器学习和文献计量分析。Scopus和Web of Science (WoS)是用于此目的的主要数据库。研究发现,ssc采用尖端技术来提高流动性,提高信息和通信技术(ICT)技能和数据意识,同时改善业务流程和效率。这种SC系统是传统方法的发展。它为基于个人用户和物联网、人工智能、云计算、大数据等技术的智能社区服务提供了基础。文献中存在以制造业为基础、以服务业为基础、以零售业为基础、资源管理和以基础设施为基础的SCs。独创性/价值本文在对现有的SCs研究成果进行梳理的基础上,总结出SCs的概念框架。据作者所知,这是第一个系统的文献综述,使用主题建模和文献计量分析的混合方法来更好地理解SCs。
A contemplative overview of smart communities: a hybrid analytical approach
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.
期刊介绍:
The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge.
Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences.
JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.