Contextualizing the outcome of a maturity assessment for Industry 4.0

Colli, Michele; Madsen, Ole; Berger, Ulrich; Møller, Charles; Wæhrens, Brian Vejrum; Bockholt, Markus Thomas

doi:10.1016/j.ifacol.2018.08.343

Cited by 80 publications

(51 citation statements)

References 6 publications

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“…This evidences that there was less attention to this field in the past, and therefore academic research seems quite immature in that area. Additional sources were identified by screening the reference lists of the 11 included studies (Canetta et al, 2018;Remane et al, 2017;Colli et al, 2018;Chanias and Hess, 2016). Thus, 13 additional studies describing digital maturity models and concepts were identified and included in the final set of studies.…”

Section: Descriptive Results Of Studies (N = 24)mentioning

confidence: 99%

Digital Transformation Maturity: A Systematic Review of Literature

Teichert

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

207

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The goal of this paper is to present contemporary developments in the field of digital maturity models. By conducting a systematic literature review finally 24 relevant studies including 22 different models were identified and various characteristics of different digital maturity models were extracted. Focus was placed on the dimensions used to measure digital maturity in different model approaches. Special light was shed on organizational culture and to what extent it is represented in the models. Among other things, the findings indicate, that dimensions applied in various models can be very different and that just a few models incorporate transformational in addition to digital capabilities. In particular, organizational culture as a dedicated dimension of digital maturity is represented already in a few models, which indicates the growing importance of culture as an enabler of digital transformation efforts. Beside a comprehensive overview of the most widely used dimensions measuring digital maturity, a synthesis of the most frequently addressed cultural attributes is presented in this paper as well. This review finally reveals that most of the existing models give an incomplete picture of digital maturity, that cultural attributes reflecting a digital culture are not integrated systematically, and that digital maturity models specific to the domain of services are clearly under-represented. It also clearly demonstrates that research about digital transformation maturity as a holistic concept is scarce and needs more attention by research in the future.

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Section: Descriptive Results Of Studies (N = 24)mentioning

confidence: 99%

Digital Transformation Maturity: A Systematic Review of Literature

Teichert

2019

Acta Univ. Agric. Silvic. Mendelianae Brun.

207

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“…Nine of the analyzed DMMs fail to provide a theoretical basis for their work. In most cases, when assumptions with regards to connections between maturity [34] Digital maturity & transformation report 2016 10 [35] Digital maturity model 4.0 2016 11 [36] Digital maturity model for telecom 2016 12 [37] Industry 4.0 readiness 2017 13 [1] Digital maturity in traditional industries 2017 14 [38] Maturity assessment for industry 4.0 2018 15 [39] Digitalisierungsindex mittelstand 2018 2018 16 [40] Strategic factors enabling digital maturity 2019 17 [41] Maturity model of digital transformation 2019…”

Section: Resultsmentioning

confidence: 99%

How to Measure Digitalization? A Critical Evaluation of Digital Maturity Models

Thordsen

Bick

2020

Lecture Notes in Computer Science

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To preserve competitive advantage in a more and more digitalized environment, today's organizations seek to assess their level of digital maturity. Given this particular practical relevance, a plethora of digital maturity models, designed to asses a company's digital status quo, has emerged over the past few years. Largely developed and published by practitioners, the academic value of these models remains obviously unclear. To shed light on their value in a broader sense, in this paper we critically evaluate 17 existing digital maturity modelsidentified through a systematic literature search (2011-2019)with regard to their validity of measurement. We base our evaluation on established academic criteria, such as generalizability or theory-based interpretation, that we apply in a qualitative content analysis to these models. Our analysis shows that most of the identified models do not conform to the established evaluation criteria. Based on these insights, we derive a detailed research agenda and suggest respective research questions and strategies.

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“…The last two categories include Innovation process/activities (accounting for 10% of the sample), such as, for instance, the assessment of the digital maturity of businesses [4,[164][165][166][167]; and papers focused only on digital design tools (2%), such as rapid prototyping and CAD/CAM tools [176][177][178].…”

Section: Technologiesmentioning

confidence: 99%

“…Advanced digital tools allow manufacturing companies to reduce costs, increase productivity, improve product development, achieve faster time-to-market, add value to products through dedicated services, and enhance customer focus across various elements of the value chain [2,3]. These changes provide an increasing number of new possibilities for the development of new products, processes, and services [4].…”

Section: Introductionmentioning

confidence: 99%

Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

et al. 2019

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The digital transformation of manufacturing (a phenomenon also known as “Industry 4.0” or “Smart Manufacturing”) is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field.

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Contextualizing the outcome of a maturity assessment for Industry 4.0

Cited by 80 publications

References 6 publications

Digital Transformation Maturity: A Systematic Review of Literature

Digital Transformation Maturity: A Systematic Review of Literature

How to Measure Digitalization? A Critical Evaluation of Digital Maturity Models

Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review

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