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  1. Article ; Online: Governance impacts of blockchain-based decentralized autonomous organizations

    Olivier Rikken / Marijn Janssen / Zenlin Kwee

    Policy Design and Practice, Vol 6, Iss 4, Pp 465-

    an empirical analysis

    2023  Volume 487

    Abstract: AbstractThe rapid rise in blockchain-based Decentralized Autonomous Organizations (DAOs) offers policy-makers and decision-makers new opportunities to automatically execute decisions and processes that help enhance transparency, accountability, ... ...

    Abstract AbstractThe rapid rise in blockchain-based Decentralized Autonomous Organizations (DAOs) offers policy-makers and decision-makers new opportunities to automatically execute decisions and processes that help enhance transparency, accountability, participation and trust. Yet, many DAOs have a limited lifespan. There is little empirical evidence of the effect of governance elements on the viability of DAOs. Using 220 on-chain governed DAOs, this paper analyses how governance elements (accountability, decision/voting, and incentives) influence the viability of DAOs in the long-term. The findings show that DAOs without weighted decision-making and without incentive structures are more viable than those with weighted decision power and incentive mechanisms. This suggests that financial and share-like DAO governance elements do not or may even negatively contribute to the long-term viability of DAOs. Also, voting power distribution is found to have a statistically significant influence on DAOs’ viability. We further propose a preliminary theory that relates governance elements to the long-term viability of DAOs. These insights will help policy-makers in designing more viable DAOs. Future research should investigate how DAO objectives, the chosen deployment infrastructure and the type of users can impact the long-term viability of DAOs.
    Keywords Blockchain ; decentralized autonomous organization (DAO) ; governance ; policy design ; public administration ; Political science ; J ; Social Sciences ; H
    Subject code 320
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Estimating the impact of COVID-19 self-test availability and modifications in test-strategy on overall test uptake using an experimental vignette study.

    Zomer, Colene L / Kroese, Floor / Sanders, Jet G / Janssen, Riny / de Bruin, Marijn

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 5887

    Abstract: To inform future Dutch COVID-19 testing policies we did an experimental vignette study to investigate whether inclusion of the less reliable lateral flow tests (self-tests) would change test-uptake sufficiently to improve population-level test ... ...

    Abstract To inform future Dutch COVID-19 testing policies we did an experimental vignette study to investigate whether inclusion of the less reliable lateral flow tests (self-tests) would change test-uptake sufficiently to improve population-level test sensitivity. A representative sample (n = 3,270) participated in a 2-by-2 online experiment to evaluate the effects of test-guidelines including self-testing advice (IV1), and the effects of self-test availability (IV2) on expected test uptake (PCR test, self-test or no test) and sensitivity of the overall test strategy (primary outcome). Across four scenarios, changing test advice did not affect expected testing behaviour. Self-test availability, however, increased the timeliness of testing, the number of people testing, and overall test strategy sensitivity. Based on these findings, we recommend that (national) policy facilitates a supply of self-tests at home, for example through free and pro-active distribution of test-kits during a pandemic. This could substantially enhance the chances of timely detecting and isolating patients.
    MeSH term(s) Humans ; COVID-19/diagnosis ; COVID-19 Testing ; Self-Testing ; Biological Transport ; Ethnicity
    Language English
    Publishing date 2024-03-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-54988-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Height is a predictor of hamstring tendon length and ACL graft characteristics in adolescents.

    Dietvorst, Martijn / van der Steen, M C Marieke / van den Besselaar, Marijn / Janssen, Rob Pa

    BMC musculoskeletal disorders

    2023  Volume 24, Issue 1, Page(s) 563

    MeSH term(s) Adult ; Child ; Female ; Humans ; Adolescent ; Hamstring Tendons ; Tendons ; Anterior Cruciate Ligament Reconstruction ; Anthropometry ; Gracilis Muscle
    Language English
    Publishing date 2023-07-11
    Publishing country England
    Document type Observational Study ; Journal Article
    ZDB-ID 2041355-5
    ISSN 1471-2474 ; 1471-2474
    ISSN (online) 1471-2474
    ISSN 1471-2474
    DOI 10.1186/s12891-023-06705-2
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  4. Article: Unlocking the Potential of Smart Technologies: Addressing Adoption Challenges.

    Sharma, Sujeet K / Janssen, Marijn / Bunker, Deborah / Dominguez-Péry, Carine / Singh, Jang Bahadur / Dwivedi, Yogesh K / Misra, Santosh K

    Information systems frontiers : a journal of research and innovation

    2023  , Page(s) 1–6

    Language English
    Publishing date 2023-05-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 2015660-1
    ISSN 1572-9419 ; 1387-3326
    ISSN (online) 1572-9419
    ISSN 1387-3326
    DOI 10.1007/s10796-023-10408-3
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  5. Book: Special issue: Open data

    Janssen, Marijn

    value creation for policy makers and analysts

    (Journal of organizational computing and electronic commerce ; volume 26, number 1-2, 2016)

    2016  

    Title variant Open data$dvalue creation for policy makers and analysts
    Author's details guest editor: Marijn Janssen
    Series title Journal of organizational computing and electronic commerce ; volume 26, number 1-2, 2016
    Language English
    Size 192 Seiten, Illustrationen
    Publisher Taylor & Francis
    Publishing place Philadelphia, Pa
    Document type Book
    Note Enthält 8 Beiträge
    Database ECONomics Information System

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  6. Article ; Online: Trusted Decision-Making

    Paul Brous / Marijn Janssen

    Administrative Sciences, Vol 10, Iss 81, p

    Data Governance for Creating Trust in Data Science Decision Outcomes

    2020  Volume 81

    Abstract: Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of ... ...

    Abstract Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising that organizations are increasingly turning to data governance as a means to improve the acceptance of data science decision outcomes. In this paper, propositions will be developed to understand the role of data governance in creating trust in data science decision outcomes. Two explanatory case studies in the asset management domain are analyzed to derive boundary conditions. The first case study is a data science project designed to improve the efficiency of road management through predictive maintenance, and the second case study is a data science project designed to detect fraudulent usage of electricity in medium and low voltage electrical grids without infringing privacy regulations. The duality of technology is used as our theoretical lens to understand the interactions between the organization, decision-makers, and technology. The results show that data science decision outcomes are more likely to be accepted if the organization has an established data governance capability. Data governance is also needed to ensure that organizational conditions of data science are met, and that incurred organizational changes are managed efficiently. These results imply that a mature data governance capability is required before sufficient trust can be placed in data science decision outcomes for decision-making.
    Keywords data lake ; data governance ; data quality ; big data ; digital transformation ; data science ; Political institutions and public administration (General) ; JF20-2112
    Subject code 006
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Serious Games for Building Data Capacity

    Davide Di Staso / Ingrid Mulder / Marijn Janssen / Fernando Kleiman

    Interdisciplinary Description of Complex Systems, Vol 20, Iss 2, Pp 179-

    2022  Volume 189

    Abstract: Open data can support the creation of new services, facilitate research, and provide insights into everyday issues affecting citizens. Although public administrations are making efforts to create sustainable and inclusive open data systems, there is ... ...

    Abstract Open data can support the creation of new services, facilitate research, and provide insights into everyday issues affecting citizens. Although public administrations are making efforts to create sustainable and inclusive open data systems, there is limited capacity to identify suitable datasets, clean, release, and reuse them. Serious games offer a possible solution for data capacity building and have already been used to train civil servants and citizens on the topic of open data. This research presents a review of serious games and discusses their potential for data capacity building. The games selected in the review are classified and described according to their different learning outcomes, formats, and type of media. Most serious games found in this review can be categorized as teaching games and are designed to raise data awareness, which is only a limited aspect of building data capacity. We found a lack of design games, research games, and policy games. Given their success for ideation in other fields, design games offer a particular opportunity to build data capacity by generating new ideas about how to reuse open datasets.
    Keywords data capacity ; serious games ; open data ; Social sciences (General) ; H1-99
    Subject code 700
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher Croatian Interdisciplinary Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Agile and adaptive governance in crisis response: Lessons from the COVID-19 pandemic.

    Janssen, Marijn / van der Voort, Haiko

    International journal of information management

    2020  Volume 55, Page(s) 102180

    Abstract: Countries around the world have had to respond to the COVID-19 outbreak with limited information and confronting many uncertainties. Their ability to be agile and adaptive has been stressed, particularly in regard to the timing of policy measures, the ... ...

    Abstract Countries around the world have had to respond to the COVID-19 outbreak with limited information and confronting many uncertainties. Their ability to be agile and adaptive has been stressed, particularly in regard to the timing of policy measures, the level of decision centralization, the autonomy of decisions and the balance between change and stability. In this contribution we use our observations of responses to COVID-19 to reflect on agility and adaptive governance and provide tools to evaluate it after the dust has settled. Whereas agility relates mainly to the speed of response within given structures, adaptivity implies system-level changes throughout government. Existing institutional structures and tools can enable adaptivity and agility, which can be complimentary approaches. However, agility sometimes conflicts with adaptability. Our analysis points to the paradoxical nature of adaptive governance. Indeed, successful adaptive governance calls for both decision speed and sound analysis, for both centralized and decentralized decision-making, for both innovation and bureaucracy, and both science and politics.
    Keywords covid19
    Language English
    Publishing date 2020-06-23
    Publishing country Netherlands
    Document type Journal Article
    ISSN 0268-4012
    ISSN 0268-4012
    DOI 10.1016/j.ijinfomgt.2020.102180
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  9. Article ; Online: Systematic adaptation of the adherence improving self-management strategy to support breast cancer survivors' adherence to adjuvant endocrine therapy: An intervention mapping approach.

    Janssen, Anna M / Dam, Joëlle / Prins, Judith / Buffart, Laurien M / de Bruin, Marijn

    European journal of cancer care

    2022  Volume 31, Issue 6, Page(s) e13721

    Abstract: Objective: Non-adherence to adjuvant endocrine therapy (AET) for breast cancer leads to increased recurrence and mortality risk and healthcare costs. Evidence on feasible, effective AET adherence interventions is scarce. This paper describes the ... ...

    Abstract Objective: Non-adherence to adjuvant endocrine therapy (AET) for breast cancer leads to increased recurrence and mortality risk and healthcare costs. Evidence on feasible, effective AET adherence interventions is scarce. This paper describes the systematic adaptation of the cost-effective adherence improving self-management strategy (AIMS) for patients with HIV to AET for women after breast cancer treatment.
    Methods: We followed the intervention mapping protocol for adapting interventions by conducting a needs assessment, reviewing target behaviours and determinants, reassessing behaviour change methods and adapting programme content. Therefore, we performed a literature review, consulted behavioural theory and organised nine advisory board meetings with patients and healthcare professionals.
    Results: Non-adherence occurs frequently among AET users. Compared to HIV treatment, AET is less effective, and AET side effects are more burdensome. This drives AET treatment discontinuation. However, the key determinants of non-adherence are largely similar to HIV treatment (e.g. motivation, self-regulation and patient-provider relationship); therefore, most strategies in AIMS-HIV also seem suitable for AIMS-AET. Modifications were required, however, regarding supporting patients with coping with side effects and sustaining treatment motivation.
    Conclusion: AIMS seems to be a suitable framework for adherence self-management across conditions and treatments. Intervention mapping offered a transparent, systematic approach to adapting AIMS-HIV to AET.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/drug therapy ; Cancer Survivors ; Chemotherapy, Adjuvant ; Self-Management ; beta-Aminoethyl Isothiourea/therapeutic use ; Medication Adherence ; HIV Infections ; Antineoplastic Agents, Hormonal/therapeutic use
    Chemical Substances beta-Aminoethyl Isothiourea (151-16-6) ; Antineoplastic Agents, Hormonal
    Language English
    Publishing date 2022-10-20
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 1303114-4
    ISSN 1365-2354 ; 0961-5423 ; 1360-5801
    ISSN (online) 1365-2354
    ISSN 0961-5423 ; 1360-5801
    DOI 10.1111/ecc.13721
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  10. Article ; Online: The Giant Leap for Smart Cities

    Berk Kaan Kuguoglu / Haiko van der Voort / Marijn Janssen

    Sustainability, Vol 13, Iss 12295, p

    Scaling Up Smart City Artificial Intelligence of Things (AIoT) Initiatives

    2021  Volume 12295

    Abstract: Despite the promise of AI and IoT, the efforts of many organizations at scaling smart city initiatives fall short. Organizations often start by exploring the potential with a proof-of-concept and a pilot project, with the process later grinding to a halt ...

    Abstract Despite the promise of AI and IoT, the efforts of many organizations at scaling smart city initiatives fall short. Organizations often start by exploring the potential with a proof-of-concept and a pilot project, with the process later grinding to a halt for various reasons. Pilot purgatory, in which organizations invest in small-scale implementations without them realizing substantial benefits, is given very little attention in the scientific literature relating to the question of why AI and IoT initiatives fail to scale up for smart cities. By combining extensive study of the literature and expert interviews, this research explores the underlying reasons why many smart city initiatives relying on Artificial Intelligence of Things (AIoT) fail to scale up. The findings suggest that a multitude of factors may leave organizations ill prepared for smart city AIoT solutions, and that these tend to multiply when cities lack much-needed resources and capabilities. Yet many organizations tend to overlook the fact that such initiatives require them to pay attention to all aspects of change: strategy, data, people and organization, process, and technology. Furthermore, the research reveals that some factors tend to be more influential in certain stages. Strategic factors tend to be more prominent in the earlier stages, whereas factors relating to people and the organization tend to feature later when organizations roll out solutions. The study also puts forward potential strategies that companies can employ to scale up successfully. Three main strategic themes emerge from the study: proof-of-value, rather than proof-of-concept; treating and managing data as a key asset; and commitment at all levels.
    Keywords smart city ; sustainable ; artificial intelligence ; internet of things ; artificial intelligence of things ; data governance ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 501
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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