Data in design: How big data and thick data inform design thinking projects

Mortati, Marzia; Magistretti, Stefano; Cautela, Cabirio; Dell’Era, Claudio

doi:10.1016/j.technovation.2022.102688

Cited by 17 publications

(8 citation statements)

References 93 publications

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“…Since that publication a range of novel IT technologies, namely, Cloud Storage (Clohessy et al, 2017;Levy et al, 2022), Big Data (Khalife & Dunay, 2019;Mortati et al, 2023), augmented/ virtual reality (Mattila et al, 2018), Blockchain (Kloeckner et al, 2021) and virtual platform technologies (Schneider et al, 2017;Oettl et al, 2018;Pousttchi & Gleiss, 2019;Schaffer et al, 2021;Poeppelbuss et al, 2022) have emerged and have motivated managed services business models to use them.…”

Section: Resultsmentioning

confidence: 99%

“…Khalife and Dunay (2019) report on the inclusion of text analytical software, text mining tools and neurolinguistic programming in big data management applications as a business model innovation of managed service providers. Big data evaluation usually relies on cloud architectures and businesses can trust in comprehensive data storage and extraction solutions offered as a package at transparent pricing (Mortati et al, 2023).…”

Section: Resultsmentioning

confidence: 99%

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The Role of Business Model Innovation in the IT Services Sector: a Comprehensive Mapping Review

Metzner,

De-Juan-Vigaray

2023

EJMI

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Purpose: The study analyzes the evolution of Business Model Innovation (BMI) in the IT sector, which is mentioned in many available scientific publications. The major output of this paper is concrete customer requirements that invite business model innovations to managed IT services and challenges to establish corresponding business model innovations. Design/Method/Approach: The study identified more than 200 journal articles and conference articles with BMI and IT service providers, and it conducted a mapping review of current research to identify relevant academic theories, implementation strategies, and BMI in the managed IT service sector while highlighting gaps in empirical research. Findings: Most applied are BMI and the framework of dynamic capabilities in business models of IT services. Early movers, who develop a comprehensive platform strategy, can achieve an invulnerable moat and establish a leading market position. Practical Implications: The insights of this study could be applied by large companies, small- and medium-sized companies and start-ups, researchers, etc. They can use the insights to innovate their current business models and improve tailored client solutions. Originality/Value: The study concludes that business model innovations and IT service providers develop areas for future success. Research Limitations/Future Research: The design of the study is based on a systematic literature review and limited to the areas of BMI research in the IT service sector. For further research projects, individual articles can be chosen to perform in-depth analysis. Our trend analysis shows the focus on main technologies. However, this can be compared with the technologies mentioned in the Gartner Hype Cycle. Further research could be conducted to overcome limitations and cover the uncertain content of this research. Paper Type: Conceptual JEL Classification: M21, O14, O33

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

The Role of Business Model Innovation in the IT Services Sector: a Comprehensive Mapping Review

Metzner,

De-Juan-Vigaray

2023

EJMI

View full text Add to dashboard Cite

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“…This mapping aims to identify significant phrases such as "big data," which serve as crucial connectors between various ideas and have substantial influence in the spread of information [50]. The intricate network of links highlighted in this instance serves as a prime illustration of the multidisciplinary character of early illness detection research, underscoring its need for data-driven insights and collaborative endeavours [51].…”

Section: Discussionmentioning

confidence: 99%

Big Data Analytics for Early Detection and Prevention of Age-Related Diseases in Elderly Healthcare

Mohd Amran Mohd Daril,

Shazia Qayuum,

Alhamzah F. Abbas

et al. 2023

Int. J. Onl. Eng.

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The exponential growth of the elderly population poses considerable obstacles to healthcare systems on a global scale, hence requiring the implementation of inventive strategies to identify and mitigate age-related illnesses at an early stage. The primary objective of this study is to explore the use of big data analytics to improve healthcare practices. Specifically, the emphasis is on identifying possible risk factors and developing proactive treatments for senior citizens. The research technique used in this study is based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) declaration of 2020. This approach is utilised to ensure a thorough and transparent review of the relevant literature. Moreover, the use of Rstudio software is prevalent in the field of data processing, statistical analysis, and visualisation. By conducting a comprehensive examination of academic databases and medical literature, this study undertakes an analysis of a collection of pertinent papers to explore the significance of big data analytics in the early diagnosis and prevention of diseases in senior populations. The studies that have been chosen include a wide range of healthcare fields, such as cardiology, neurology, cancer, and geriatrics. This selection aims to provide a thorough comprehension of existing practises and identify any possible areas that may need more attention. The results of this study emphasise the significant impact that big data analytics may have on healthcare for the elderly. Using extensive and varied datasets, sophisticated analytical methodologies such as machine learning algorithms and data mining allow the detection of nuanced patterns and correlations that might function as precursors for age-related ailments.

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“…To understand digital human cultures among the plethora of digital information and platforms, there is a growing spotlight on "thick data"; that is the human insights missing from big data [100]. This data is implicit, often invisible, and gathered through human observations and narratives.…”

Section: Amplifying the Tenets Of Global Digital Citizenship Through ...mentioning

confidence: 99%

Perspectives on Amplifying Participation in Digital Culture through Global Digital Citizenship

Borda¹,

Bowen²

2023

Preprint

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In the paper, we explore the notion of global digital citizenship, particularly with respect to museums and cultural heritage organizations. In this perspectives study, we explore current examples of how museums can adapt to the tenets of global digital citizenship necessary to navigate and participate in increasingly interconnected digital worlds and culture, and to collectively address global challenges.

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Data in design: How big data and thick data inform design thinking projects

Cited by 17 publications

References 93 publications

The Role of Business Model Innovation in the IT Services Sector: a Comprehensive Mapping Review

The Role of Business Model Innovation in the IT Services Sector: a Comprehensive Mapping Review

Big Data Analytics for Early Detection and Prevention of Age-Related Diseases in Elderly Healthcare

Perspectives on Amplifying Participation in Digital Culture through Global Digital Citizenship

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