A new proposed model to assess the digital organizational readiness to maximize the results of the digital transformation in SMEs

IF 15.6 1区 管理学 Q1 BUSINESS
Rui Pedro Silva , Henrique São Mamede , Vitor Santos
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引用次数: 0

Abstract

Scientific research in digital transformation is expanding in scope, quantity, and relevance, bringing forth diverse perspectives on which factors and specific dimensions—such as organizational structure, culture, and technological readiness—affect the success of digital transformation initiatives. Numerous studies have proposed mechanisms to assess an organization's maturity through digital transformation across various models. Some of these models focus on external influences, others on internal factors, or both. Although these assessments provide valuable insights into a company's transformation state, they often lack consistency, and recent research highlights key gaps. Specifically, many models primarily reflect the views of senior management on the general progress of digital transformation rather than on measurable outcomes. Moreover, these models tend to target large enterprises, overlooking small and medium enterprises (SMEs), which are crucial to economic growth yet face unique challenges, such as limited resources and expertise.
Our study addresses these gaps by concentrating on SMEs and introducing a novel approach to assessing digital transformation readiness—a metric that reflects how prepared an organization is to optimize transformation outcomes. Following design science research methodology, we develop a model that centers on the perspectives of general employees, offering companies an in-depth view of their readiness across 20 dimensions. Each dimension is evaluated through behaviors indicative of the highest level of digital transformation readiness, helping companies identify areas to maximize potential benefits. Our model focuses not on technological quality but on the degree to which behaviors essential for leveraging technology and innovative business models are integrated within the organization.
提出了一个新的模型来评估数字化组织的准备,以最大化中小企业数字化转型的结果
数字化转型的科学研究在范围、数量和相关性上都在不断扩大,对哪些因素和具体维度(如组织结构、文化和技术准备程度)影响数字化转型计划的成功提出了不同的观点。许多研究已经提出了通过各种模型的数字化转型来评估组织成熟度的机制。其中一些模型关注外部影响,另一些关注内部因素,或者两者兼而有之。尽管这些评估对公司的转型状态提供了有价值的见解,但它们往往缺乏一致性,最近的研究突出了关键的差距。具体来说,许多模型主要反映了高级管理层对数字化转型总体进展的看法,而不是对可衡量结果的看法。此外,这些模式往往针对大型企业,而忽视了对经济增长至关重要但面临独特挑战的中小企业(sme),如资源和专业知识有限。
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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
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.
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