Information Systems and E-Business Management ( IF 2.3 ) Pub Date : 2025-01-13 , DOI: 10.1007/s10257-024-00698-8
Pooria Jafari , Amy Van Looy
The growth of today’s digitalization trend goes along with an active and influential role of other fundamental factors in organizational development (e.g., people, processes). Excelling in these factors boosts efficiency and helps achieve strategic goals, for which support is needed. In recent years, studies concentrate on organizational maturity to describe (and sometimes prescribe) how to gradually progress along these factors by means of different maturity levels. However, those studies focus on examining a set of factors influencing maturity (such as the digitalization of work practices), but are not necessarily comprehensive in factors and sometimes fail to offer concrete measurement instruments for various application purposes. Novelty in our study resides in scrutinizing whether a decision tree approach can help organizations in quickly assessing their current maturity level in addition to the conventional ways of maturity model measurement or scale development studies. We select one maturity model (MM) in this domain and build a decision tree to distinguish an organization’s current maturity level of digital work. We also examine our proposed method in two rounds of a field study within a large public sector organization. Our objective is twofold. First, we extend an existing MM in a relevant domain for which a self-assessment instrument is still lacking. Secondly, from a design-science research perspective, we explore an alternative approach to build and test a straightforward self-assessment artefact in order to extend the literature from a methodological point of view. As a result, practitioners can profit from the provided and easy-to-use self-assessment instrument when digitalizing their work practices.
中文翻译:

开发决策树以提高成熟度模型的可用性:数字化工作成熟度示例
当今数字化趋势的增长伴随着其他基本因素(例如人员、流程)在组织发展中的积极和有影响力的作用。在这些因素上表现出色可以提高效率并有助于实现需要支持的战略目标。近年来,研究集中在组织成熟度上,以描述(有时规定)如何通过不同的成熟度水平来逐步推进这些因素。然而,这些研究侧重于检查影响成熟度的一系列因素(例如工作实践的数字化),但不一定是全面的因素,有时无法为各种应用目的提供具体的测量工具。我们研究的新颖之处在于,除了传统的成熟度模型测量或规模发展研究方法之外,决策树方法是否可以帮助组织快速评估其当前的成熟度水平。我们在该领域选择一个成熟度模型 (MM),并构建一个决策树来区分组织当前的数字化工作成熟度水平。我们还在大型公共部门组织的两轮实地研究中检查了我们提出的方法。我们的目标有两个。首先,我们在仍然缺乏自我评估工具的相关领域扩展现有的 MM。其次,从设计科学研究的角度来看,我们探索了一种替代方法来构建和测试一个简单的自我评估人工制品,以便从方法论的角度扩展文献。因此,从业者在数字化他们的工作实践时可以从提供且易于使用的自我评估工具中受益。