{"title":"Determinants of digital technology adoption in innovative SMEs","authors":"Faiz Faiz, Viet Le, Eryadi K Masli","doi":"10.1016/j.jik.2024.100610","DOIUrl":null,"url":null,"abstract":"<div><div>Despite the increasing adoption of digital technology, small and medium enterprises (SMEs) continue to lag behind larger firms. This study integrates the technology, organization, and environment (TOE) framework with Rogers’ diffusion of innovation (DOI) theory to investigate the factors influencing SMEs’ digital technology adoption. Data from 419 SMEs was analyzed using partial least squares structural equation modelling (PLS-SEM), followed by artificial neural network (ANN) analysis to rank the importance of the variables identified.</div><div>The PLS-SEM results show that technological, organizational, and environmental factors directly impact adoption. The supported variables include adoption costs, top management support, human resources, digital culture, and trading partner pressure. Some factors indirectly impact adoption through top management support. This study also found that SMEs’ international orientation moderates the relationship between digital culture and adoption behavior. The ANN results identify that the most important predictors, ranked from the most to the least influential, are digital culture, international orientation, top management support, trading partner pressure, human resources, and adoption costs.</div><div>This research contributes to the theoretical discourse on technology adoption by integrating the TOE framework with Rogers’ DOI theory. It highlights that no single TOE element functions in isolation. The findings provide practical guidance for SME managers, stressing the need to improve organizational factors, such as, human resources, digital culture, and top management support. Governments may use these findings to identify ways to support SMEs’ digital technology adoption, particularly by offering subsidies to reduce costs, which remain a barrier.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"9 4","pages":"Article 100610"},"PeriodicalIF":15.6000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovation & Knowledge","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2444569X24001495","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Despite the increasing adoption of digital technology, small and medium enterprises (SMEs) continue to lag behind larger firms. This study integrates the technology, organization, and environment (TOE) framework with Rogers’ diffusion of innovation (DOI) theory to investigate the factors influencing SMEs’ digital technology adoption. Data from 419 SMEs was analyzed using partial least squares structural equation modelling (PLS-SEM), followed by artificial neural network (ANN) analysis to rank the importance of the variables identified.
The PLS-SEM results show that technological, organizational, and environmental factors directly impact adoption. The supported variables include adoption costs, top management support, human resources, digital culture, and trading partner pressure. Some factors indirectly impact adoption through top management support. This study also found that SMEs’ international orientation moderates the relationship between digital culture and adoption behavior. The ANN results identify that the most important predictors, ranked from the most to the least influential, are digital culture, international orientation, top management support, trading partner pressure, human resources, and adoption costs.
This research contributes to the theoretical discourse on technology adoption by integrating the TOE framework with Rogers’ DOI theory. It highlights that no single TOE element functions in isolation. The findings provide practical guidance for SME managers, stressing the need to improve organizational factors, such as, human resources, digital culture, and top management support. Governments may use these findings to identify ways to support SMEs’ digital technology adoption, particularly by offering subsidies to reduce costs, which remain a barrier.
尽管采用数字技术的企业越来越多,但中小型企业(SMEs)仍然落后于大型企业。本研究将技术、组织和环境(TOE)框架与罗杰斯的创新扩散(DOI)理论相结合,探讨影响中小企业采用数字技术的因素。研究使用偏最小二乘结构方程模型(PLS-SEM)对 419 家中小企业的数据进行了分析,然后使用人工神经网络(ANN)分析对所识别变量的重要性进行排序。支持变量包括采用成本、高层管理支持、人力资源、数字文化和贸易伙伴压力。一些因素通过高层管理支持间接影响了采用情况。本研究还发现,中小企业的国际定位调节了数字文化与采用行为之间的关系。ANN 结果表明,最重要的预测因素从影响最大到影响最小依次为数字文化、国际导向、高层管理支持、贸易伙伴压力、人力资源和采用成本。这项研究将 TOE 框架与罗杰斯的 DOI 理论相结合,对技术采用的理论探讨做出了贡献。研究强调,没有任何一个 TOE 元素是孤立运作的。研究结果为中小企业管理者提供了实际指导,强调了改善人力资源、数字文化和高层管理支持等组织因素的必要性。各国政府可以利用这些发现来确定支持中小企业采用数字技术的方法,特别是通过提供补贴来降低成本,因为成本仍然是一个障碍。
期刊介绍:
The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices.
JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience.
In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.