Digital Maturity Models: A Systematic Literature Review

Ochoa-Urrego, Leonardo; Peña-Reyes, José-Ismael

doi:10.1007/978-3-030-69380-0_5

Cited by 18 publications

(3 citation statements)

References 32 publications

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“…, 2021). Within their path toward Industry 4.0 innovation, companies can find themselves on different status of digital maturity, depending on what they have already achieved in terms of digital transformation efforts (Ochoa-Urrego and Peña-Reyes, 2021; Chanias and Hess, 2016).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Value co-creation via machine learning from a configuration theory perspective

Presti

Santis

Bernini

2023

EJIM

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PurposeThis paper aims to propose an interpretive framework to understand how machine learning (ML) affects the way companies interact with their ecosystem and how the introduction of digital technologies affects the value co-creation (VCC) process.Design/methodology/approachThis study bases on configuration theory, which entails two main methodological phases. In the first phase the authors define the theoretically-derived interpretive framework through a literature review. In the second phase the authors adopt a case study methodology to inductively analyze the theoretically-derived domains and their relationships within a configuration.FindingsML enables multi-directional knowledge flows among value co-creators and expands the scope of VCC beyond the boundaries of the firm-client relationship. However, it determines a substantive imbalance in knowledge management power among the actors involved in VCC. ML positively impacts value co-creators’ performance but also requires significant organizational changes. To benefit from VCC via ML, value co-creators must be aligned in terms of digital maturity.Originality/valueThe paper answers the call for more theoretical and empirical research on the impact of the introduction of Industry 4.0 technology in companies and their ecosystem. It intends to improve the understanding of how ML technology affects the determinants and the process of VCC by providing both a static and dynamic analysis of the topic.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Value co-creation via machine learning from a configuration theory perspective

Presti

Santis

Bernini

2023

EJIM

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“…According to Hanelt et al (2021), adopting digital technology solutions implies a move to a malleable organization model, where the impact varies on the level of acknowledgment and implementation. The digital maturity model tries to assess the stages of digital transformation impacting a given organization, how it reacts to digitalization purposes, and integrates the technology to achieve its goals and to respond to the digital competitive environment (Bumann & Peter, 2019;Haryanti et al, 2023;Ochoa-Urrego & Peña-Reyes, 2021). Haryanti et al (2023) also compared dozens of existing maturity models to assess key interrelated dimensions for supporting the success of digital transformation, which could be served as one maturity measurement framework.…”

Section: "Everythingtech" -The Impact Of a Widespread Technological D...mentioning

confidence: 99%

How green and digital transformation shapes industries

Herczeg

Pintér

Bagó

2023

Veztud

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A digitális átalakulás minden iparágban és üzleti szektorban kihívást jelent. Jelen cikkben a digitális átalakulás kiterjedt, sokrétű és szigetszerű szakirodalmának célzott multidiszciplináris és horizontális áttekintését nyújtják át a szerzők, tisztázva a jelenségnek a GreenTech és a fenntarthatóság szempontjából történő vizsgálati peremfeltételeit. Ugyanis egyértelmű elmozdulás tapasztalható a gazdasági döntéshozatalban a fenntarthatóság irányába, amely köré a GreenTech megoldások épülnek. Közelmúltbeli tanulmányok rávilágítottak a zöld digitalizációs megoldások fontosságára, hangsúlyozva a (digitális) technológia jelentőségét a fenntarthatósági kihívások kezelésében, valamint az üzleti és lakossági felhasználásban. Következésképpen azt találták, hogy a digitális átalakulás terjedésének felgyorsulása és a GreenTech megoldások ebben betöltött szerepe a közeljövőben jelentősen növekedni fog. Nem létezik energiaátmenet digitalizáció nélkül.

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“…It has been conceptualised as an organisational state that in which processes are digitalised and accompanied by other organisational transformations. (2) The assumption underlying the concept of digital maturity in healthcare is that organisations who have higher levels, achieve better processes and outcomes. (3,4) This may include improved quality and operational efficiency through implementing electronic health records (EHRs) and laying the foundation for learning healthcare systems, artificial intelligence and precision medicine.…”

Section: Introductionmentioning

confidence: 99%

Assessing digital maturity of hospitals: Comparing national approaches in five countries (Preprint)

Cresswell,

Jahn,

Silsand

et al. 2024

Preprint

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BACKGROUND Digital maturity assessments can inform strategic decision making. However, national approaches to assessing digital maturity of health systems are in their infancy, and there is limited insight into context and processes associated with such assessments. OBJECTIVE To describe and compare national approaches to assessing digital maturity of hospitals. METHODS We performed a narrative review of five national approaches to assessing digital maturity of hospitals in Queensland (Australia), Germany, the Netherlands, Norway, and Scotland. Data was collected in narrative form exploring context, drivers, and approaches to measure digital maturity in each country. We then performed a qualitative thematic analysis to compare approaches with the help of NVivo 12 to facilitate coding. RESULTS We observed a common focus on interoperability, and assessment findings were used to shape national digital health strategies. Indicators were broadly aligned, but four of five countries developed their own tailored indicator sets. Key topic areas across countries included interoperability, capabilities, leadership, governance, and infrastructure. Analysis of indicators was centralised, but data was shared with participating organisations. Only one setting conducted an academic evaluation. Major challenges of digital maturity assessment included the high cost and time required for data collection, questions about measurement accuracy, difficulties in consistent long-term tracking of indicators, and potential biases due to self-reporting. We also observed tensions between practical feasibility of the process with the depth and breadth required by the complexity of the topic, and tensions between national and local data needs. CONCLUSIONS There are several key challenges in national assessments of digital maturity in hospitals that influence the validity and reliability of outputs. These need to be explicitly acknowledged when making decisions informed by assessments and monitored over time.

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Digital Maturity Models: A Systematic Literature Review

Cited by 18 publications

References 32 publications

Value co-creation via machine learning from a configuration theory perspective

Value co-creation via machine learning from a configuration theory perspective

How green and digital transformation shapes industries

Assessing digital maturity of hospitals: Comparing national approaches in five countries (Preprint)

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