十年的数字成熟度模型:无事生非?

IF 2.3 4区 管理学 Q3 BUSINESS
Tristan Thordsen, Markus Bick
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引用次数: 0

摘要

在过去的十年里,数字成熟度的话题已经发展成为一个成熟的炒作。人们普遍认为,组织的数字成熟度水平与其绩效直接相关。数字成熟度模型(dmm)是专门为评估组织的数字现状而设计的,并提供具体措施来提高其数字成熟度水平。鉴于这种相关性,出现了许多这样的模型。尽管如此,dmm的发展和应用在学术界仍存在争议,导致其理论和实践价值存在很大的不确定性。在这篇系统的文献综述中,我们试图通过识别和对比IS学者之间的主要争议观点来描绘研究领域的全面图景。对该研究领域详细信息的分析——包括广泛的DMM文献、学术讨论和反馈——表明,各种批评声音质疑DMM的实际实践和理论价值,强调缺乏这些模型的客观评价标准,并指出缺乏实证数据来证明成熟度和绩效之间的关系。根据我们在这一领域的经验,我们提供了11年来DMMs的第一次合成,并得出了一个研究议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A decade of digital maturity models: much ado about nothing?
Abstract The topic of digital maturity has evolved into a full-grown hype in the last decade. It is widely assumed that the level of an organization’s digital maturity is directly linked to its performance. Digital Maturity Models (DMMs) have been designed specifically to assess an organization’s digital status quo and to provide concrete measures to increase its level of digital maturity. Given this relevance, a multitude of these models have emerged. Still, the development and application of DMMs is controversially discussed within the academic community leading to great uncertainty regarding their value for both theory and practice. In this systematic literature review, we seek to paint a comprehensive picture of the research field by identifying and contrasting the main contentious opinions among IS scholars. An analysis of detailed information regarding the research area – encompassing extensive DMM literature, academic discussion, and feedback – shows that various critical voices question the actual practical and theoretical value of DMMs, underlining the absence of objective evaluation criteria of these models and pointing out the lack of empirical data to prove the suggested relationship between maturity and performance. Based on our experience in this field, we provide a first synthesis of eleven years of DMMs and derive a research agenda.
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来源期刊
CiteScore
6.20
自引率
11.10%
发文量
18
期刊介绍: Nowadays, in the age of information technology and the internet, the creation and maintenance of business models has to consider the latest developments in information technology to ensure competitiveness and long-term success of the enterprise. The aim of Information Systems Management (ISM) is to integrate information technology into business models and business processes to explore its potential to meet the business goals. Many international journals in the field of information systems (IS) or information management (IM) focus primarily on the quantitative analysis of information systems phenomena, especially through the use of empirical studies. However, research on qualitative analysis, development, and deployment of information systems is not covered sufficiently by the existing international IS journals. Therefore, the journal Information Systems and e-Business Management (ISeB) focuses on the core tasks of Information Systems Management, the conceptual analysis, design, and deployment of information systems, as well as on all e-business related topics. 1. Editorial objective The central aim of the journal ISeB is to publish original, well-written, self-contained contributions that elucidate novel research and innovation in information systems management and e-business which advance the field fundamentally and significantly. Published quarterly, the journal will: - Provide a vibrant forum for both academicians and industry specialists to explore the information systems and e-business management field - Bring innovative research on all aspects of information systems management from analytical, behavioral and technological perspectives - Enable rapid dissemination of latest research and innovation, supported with a double-blind peer review process. 2. Nature of topics The function of information systems management is the use of information technology (IT) to meet the information requirements of a company. Core tasks of ISM are the generation of project ideas (e.g. identification of business opportunities enabled by new information technologies), conceptual analysis, design, and integration of information systems. Submissions to ISeB should have a clear business focus and use appropriate information systems methodologies. They should either be founded on theory or should have proven their value based on prototypes and their beneficial application in the field. The general applicability of the concepts presented is strictly required. Case studies are welcome, if the insights presented allow general applicability. Moreover, empirical studies are welcome if clear research questions with relevance to the field of information systems and e-business management are given and the studies are carried out correctly. ISeB topics focus on (but are not restricted to) the following areas: - Information Modeling: The central task of information systems modeling is the conceptual specification of information systems from the business point of view. Information modeling includes the development or the application of high-level modeling techniques used for conceptual modeling, e.g. event-driven process chain (EPC) for process modeling, entity-relationship model (ERM) for data modeling, and object-oriented methods like the unified modeling language (UML). - Domain-Specific Information Systems: Different industry domains (e.g. manufacturing, retailing, or finance) are characterized by different requirements to information systems that are reflected in different IS architectures for specific domains. The development and maintenance of information systems in an industry domain can be supported by these architectures. Either the development of generalizable domain-specific architectures or the employment of such architectures in practice can be discussed. - E-Business Management (intra-organization al and inter-organizational information systems): Possible sub-topics include the development and deployment of IS for electronic commerce and supply chain management, market places, new business scenarios enabled through new technologies. Based on a business strategy, submissions have to clearly state how the strategy can be operationalized using IS. - Information Systems Development: The development and deployment of large-scale IS (e.g. enterprise resource planning software) requires the use of appropriate software engineering methodologies, procedure models, and project management. Possible research areas are the development of software engineering methodologies, procedure models, and the design of project management methods. Empirical studies on IS development may focus on the application of well-founded methods in practice. - Information Technology Management: The function of information technology management is the provision and operation of the technical infrastructure and the planning of the technical orientation of information systems in an enterprise. An important aspect is the impact of changing information systems on organizational structures and processes – and vice versa. In this context, the use of information technology to realize a business strategy efficiently can be analyzed. - Latest Information Technology Developments: Latest developments in information technology have to be evaluated to explore potentials to generate new business strategies. Current topics and trends to be evaluated for business use are e.g. business intelligence systems, agent technology, and workflow management systems. Officially cited as: Inf Syst E-Bus Manage
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