Use of cloud computing services in micro and small enterprises: a fit perspective

IF 2.2 Q3 MANAGEMENT
P. K. Wamuyu
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引用次数: 8

Abstract

Micro and Small Enterprises (MSEs) require the right Organizational Information and Communication Technology Infrastructure (OICTI) to provide them with the essential functionalities to support their business processes. In order to have the right OICTI, MSEs are expected to make huge investments in financial and human resources, to purchase, deploy and maintain Information and Communications Technologies (ICTs). Cloud Computing Services (CCS) avail OICTI, for a fraction of the resources required to own private ICT infrastructure. The purpose of this study was to assess the fit between the MSEs’ OICTI needs and the information processing capabilities of CCS and how this fit influences CCS adoption in the Kenyan MSEs. The research was quantitative in nature, in which, a theory-based model grounded on the task technology fit, organization information processing and technology-organization-environment theories, was developed and validated. Study findings suggest strong correlations between MSEs’ tasks and CCS and between MSEs’ information processing needs and CCS information processing capabilities. Other factors identified as influencing CCS procurement are affordability and the relationship between the CCS providers and the MSEs. The study contributes to the academic literature on technology adoption in MSEs by showing that there exists a multidimensional fit between CCS and MSEs’ OICTI requirements.
在微型和小型企业中使用云计算服务:一个合适的视角
微型和小型企业(mse)需要合适的组织信息和通信技术基础设施(OICTI)来为它们提供支持其业务流程的基本功能。为了获得OICTI,中小企业需要在购买、部署和维护信息通信技术(ict)方面投入大量资金和人力。云计算服务(CCS)利用OICTI,只需要拥有私有ICT基础设施所需资源的一小部分。本研究的目的是评估中小微企业的OICTI需求与CCS的信息处理能力之间的契合度,以及这种契合度如何影响肯尼亚中小微企业采用CCS。本研究为定量研究,以任务技术匹配理论、组织信息处理理论和技术-组织-环境理论为基础,建立并验证了基于理论的模型。研究发现,中小微企业的任务与CCS、信息处理需求与CCS信息处理能力之间存在较强的相关性。被确定为影响CCS采购的其他因素是可负担性以及CCS供应商与中小企业之间的关系。该研究通过表明CCS与中小微企业的OICTI需求之间存在多维度的契合,为中小微企业技术采用的学术文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.30
自引率
18.20%
发文量
99
审稿时长
12 weeks
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