An Orchestration Framework for Digital Innovation: Lessons From the Healthcare Industry

Satwekar, Abhijeet; Volpentesta, Tiziano; Spagnoletti, Paolo; Rossi, Mara

doi:10.1109/tem.2022.3167259

Cited by 13 publications

(8 citation statements)

References 93 publications

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“…Thus, facilitating the establishment of the technology in close alignments with the existing routines and to bring the business value. Phase‐appropriate structuring with digital innovation management framework (Satwekar et al, 2022) directed an experience‐based exploration path to build confidence on the identified CBA. Thus, leading to minimized tensions on the acceptability and gaining trust on the disruptive idea of introducing an unproven advanced digital technology.…”

Section: Discussionmentioning

confidence: 99%

“…The execution of the project was performed using Digital Innovation Management (DIM) framework (Satwekar et al, 2022) based on experience and exploration to build confidence with the stakeholders and decision makers through the phases—Proof of Concept (PoC), Proof of Feasibility (PoF), and Proof of Value (PoV) as detailed in (Satwekar et al, 2022). It provided a flexible approach to manage the execution plan of digital innovations by phase‐appropriately structuring the investments, objectives with iterative deliverables, minimized risks to tackle critical managerial challenges for building digital innovations within the highly regulated healthcare industry.…”

Section: Materials and Methodologymentioning

confidence: 99%

“…Thus, facilitating the establishment of the technology in close alignments with the existing routines and to bring the business value. Phase-appropriate structuring with digital innovation management framework(Satwekar et al, 2022) directed an experience-based exploration path to build confidence on the identified CBA. Thus, leading to minimized tensions on the acceptability and gaining trust on the disruptive idea of introducing an unproven advanced digital technology.Chromatographic peak integration is a topic of high importance, as health authorities are seeking accuracy and consistency in the peak integration process, and the expectations are to have a fully automated process for ensuring reproducibility and reliability of the analytical results.…”

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confidence: 99%

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Digital by design approach to develop a universal deep learning AI architecture for automatic chromatographic peak integration

Satwekar

Panda

Nandula

et al. 2023

Biotech & Bioengineering

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Chromatographic data processing has garnered attention due to multiple Food and Drug Administration 483 citations and warning letters, highlighting the need for a robust technological solution. The healthcare industry has the potential to greatly benefit from the adoption of digital technologies, but the process of implementing these technologies can be slow and complex. This article presents a "Digital by Design" managerial approach, adapted from pharmaceutical quality by design principles, for designing and implementing an artificial intelligence (AI)-based solution for chromatography peak integration process in the healthcare industry.We report the use of a convolutional neural network model to predict analytical variability for integrating chromatography peaks and propose a potential GxP framework for using AI in the healthcare industry that includes elements on data management, model management, and human-in-the-loop processes. The component on analytical variability prediction has a great potential to enable Industry 4.0 objectives on real-time release testing, automated quality control, and continuous manufacturing.

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Section: Discussionmentioning

confidence: 99%

Section: Materials and Methodologymentioning

confidence: 99%

mentioning

confidence: 99%

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Digital by design approach to develop a universal deep learning AI architecture for automatic chromatographic peak integration

Satwekar

Panda

Nandula

et al. 2023

Biotech & Bioengineering

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“…In spite of this compelling evidence for DT, all those new digital resources have not guaranteed success for many companies that have invested heavily in DT efforts. Recent research attempted to conceptualize the challenges DT posed for organizations (Kallinikos, Aaltonen, & Marton, 2013; Guo-Fitoussi, Bounfour, & Rekik, 2019; Breslin & Gatrell, 2020; Satwekar, Volpentesta, Spagnoletti, & Rossi, 2022; Bounfour, Etienne, Cheng, & Nonnis, 2022), in light of the relevant role played by dynamic organizational capabilities (Benitez, Castillo, Llorens, & Braojos, 2018), such as SA. As a matter of recent record, DT has been found to improve the ability of firms to respond quickly to normal market perturbations (Vial, 2021).…”

Section: Digital Transformation and Strategic Agilitymentioning

confidence: 99%

Digital transformation and strategic agility during the COVID-19 crisis: the role of the intangible capital conversion

Bounfour

Housel

Silkey

et al. 2023

DTS

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PurposeThe purpose of the current study is to illustrate the importance of strategic agility (SA), the capacity to respond agilely to a rapidly changing environment, for digitally transforming firms during the COVID-19 crisis. A secondary purpose of the study is to conceptually frame SA as a function of the creative to realized intangible capital (IC) ratio.Design/methodology/approachTo inferentially corroborate the hypothesis, this study exploits the results of a recent firm-level survey, conducted under the H2020 project GlobalInto (2021). Via OLS and ordered logistic regressions, the relationship among SA, economic performance and IC was tested.FindingsThe exploratory findings implied that the more strategically agile companies were those that responded more effectively to the pandemic crisis, but only if they were ahead in terms of digital transformation. Moreover, the results implied that firms that were able to efficiently convert their creative IC into realized IC were the most strategically agile.Originality/valueThis study developed a new conceptual framework for digitally transforming firms that included the role of SA and the IC conversion ratio in the context of extreme threats to the survival of firms. Some preliminary practical recommendations were offered to management about how to measure the IC conversion ratio as well as how to stimulate and reward greater creativity among employees, filling a notable gap in the SA literature that provides less than precise guidance about how this concept can be measured.

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“…The continuous and rapid development of digital innovation (Recker et al, 2023) for example, in game design (Werder et al, 2020), in the design of virtual worlds (Seidel et al, 2023) or in healthcare (Satwekar et al, 2023) leads to new design-related challenges (Kohli and Melville, 2019) when translating novel concepts into valuable products (Mamasioulas et al, 2020). Digital innovationthat is, "the carrying out of new combinations of digital and physical components to produce novel products" (Yoo et al, 2010) relies on the digital encoding of information.…”

Section: Introductionmentioning

confidence: 99%

Situational selections of design methods for digital innovation processes

Liu,

Werder,

Maedche

et al. 2023

IJIS

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Purpose Numerous design methods are available to facilitate digital innovation processes in user interface design. Nonetheless, little guidance exists on their appropriate selection within the design process based on specific situations. Consequently, design novices with limited design knowledge face challenges when determining suitable methods. Thus, this paper aims to support design novices by guiding the situational selection of design methods. Design/methodology/approach Our research approach includes two phases: i) we adopted a taxonomy development method to identify dimensions of design methods by reviewing 292 potential design methods and interviewing 15 experts; ii) we conducted focus groups with 25 design novices and applied fuzzy-set qualitative comparative analysis to describe the relations between the taxonomy's dimensions. Findings We developed a novel taxonomy that presents a comprehensive overview of design conditions and their associated design methods in innovation processes. Thus, the taxonomy enables design novices to navigate the complexities of design methods needed to design digital innovation. We also identify configurations of these conditions that support the situational selections of design methods in digital innovation processes of user interface design. Originality/value The study’s contribution to the literature lies in the identification of both similarities and differences among design methods, as well as the investigation of sufficient condition configurations within the digital innovation processes of user interface design. The taxonomy helps design novices to navigate the design space by providing an overview of design conditions and the associations between methods and these conditions. By using the developed taxonomy, design novices can narrow down their options when selecting design methods for their specific situations.

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An Orchestration Framework for Digital Innovation: Lessons From the Healthcare Industry

Cited by 13 publications

References 93 publications

Digital by design approach to develop a universal deep learning AI architecture for automatic chromatographic peak integration

Digital by design approach to develop a universal deep learning AI architecture for automatic chromatographic peak integration

Digital transformation and strategic agility during the COVID-19 crisis: the role of the intangible capital conversion

Situational selections of design methods for digital innovation processes

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