Zoekresultaten

Naar een Data Alliantie Gastvrij Overijssel

Dit project poogt een bijdrage te leveren aan het versterken van “de kennisketen van de gastvrijheidseconomie” middels de volgende projectdoelstellingen: • SWOT-analyse van huidige situatie, vanuit verschillende stakeholderperspectieven: kijkend vanuit de ontwikkelopgaves die men ziet, aan welke data over de customer journey is behoefte (inventarisatie)? Wat zijn de bijbehorende sterktes, zwaktes, kansen en bedreigingen (analyse)? • Versterken van de kennisketen via: hoe kunnen we kennisketen versterken met nieuwe technieken en door slim organiseren? • Een overzicht van strategische opties: welke strategische opties zijn er om 1.) sterktes te benutten om kansen te pakken en bedreigingen af te wenden en 2.) zwaktes op te lossen door kansen te pakken en gevaren te voorkomen die met bedreigingen meekomen • Input leveren voor 2.0 versie van het manifest van Gastvrij Overijssel en de beoogde oprichting van een “Data Hub” (waarvoor nog geen officiële werktitel) In de opvolgende hoofdstukken en paragrafen gaan we in op de aanpak (hoofdstuk 2) en de uitkomsten (hoofdstuk 3).

Factors that affect functional capacity in patients with musculoskeletal pain

OBJECTIVE: To reach consensus on the most important biopsychosocial factors that influence functional capacity results in patients with chronic nonspecific musculoskeletal pain, arranged in the framework of the International Classification of Functioning, Disability and Health.DESIGN: Three-round, internet-based Delphi survey.SETTING: Not applicable.PARTICIPANTS: Participants were scientists, clinicians, and patients familiar with functional capacity testing. Scientists were invited through purposive sampling based on the number of relevant publications in peer-reviewed journals. The scientists recruited clinicians and patients through snowball sampling.INTERVENTIONS: Not applicable.MAIN OUTCOME MEASURES: Consensus was reached if at least moderate influence (25%) was achieved and an interquartile range of no more than 1 point was reached.RESULTS: Thirty-three scientists, 21 clinicians, and 21 patients from 9 countries participated. Participants reached consensus on 6 factors that can influence the outcome of the lifting test, having a median of severe influence (50%-95%): catastrophic thoughts and fear, patient adherence to "doctor's orders," internal and external motivation, muscle power, chronic pain behavior, and avoidance behavior. Motivation, chronic pain behavior, and sensation of pain were the top 3 factors affecting postural tolerance and repetitive movement functional capacity tests. Furthermore, participants reported 28 factors having a median of moderate influence (25%-49%) that could influence the outcome of lifting, postural tolerance, and repetitive movement tests.CONCLUSIONS: Overall, chronic pain behavior, motivation, and sensation of pain are the main factors that can influence functional capacity results. We recommend that scientists and clinicians, respectively, consider the most important factors when planning future studies and when interpreting functional capacity test results.

Data driven decision support

During the past two decades the implementation and adoption of information technology has rapidly increased. As a consequence the way businesses operate has changed dramatically. For example, the amount of data has grown exponentially. Companies are looking for ways to use this data to add value to their business. This has implications for the manner in which (financial) governance needs to be organized. The main purpose of this study is to obtain insight in the changing role of controllers in order to add value to the business by means of data analytics. To answer the research question a literature study was performed to establish a theoretical foundation concerning data analytics and its potential use. Second, nineteen interviews were conducted with controllers, data scientists and academics in the financial domain. Thirdly, a focus group with experts was organized in which additional data were gathered. Based on the literature study and the participants responses it is clear that the challenge of the data explosion consist of converting data into information, knowledge and meaningful insights to support decision-making processes. Performing data analyses enables the controller to support rational decision making to complement the intuitive decision making by (senior) management. In this way, the controller has the opportunity to be in the lead of the information provision within an organization. However, controllers need to have more advanced data science and statistic competences to be able to provide management with effective analysis. Specifically, we found that an important skill regarding statistics is the visualization and communication of statistical analysis. This is needed for controllers in order to grow in their role as business partner..

Why do society and academia ignore the ‘Scientists

There is increasing evidence that humans are not living sustainably. There are three major drivers of the unsustainable approach: population, consumption and the growth economy. There is widespread denial about these issues, but they clearly need to be addressed if we are to achieve any of the possible sustainable futures. The first and second versions of the ‘World Scientists Warning to Humanity’ both highlight the problem of increasing human population, as do the IPCC and IPBES reports. However, all have been largely ignored. The size of an ecologically sustainable global population is considered, taking into account the implications of increasing per capita consumption. The paper then discusses the reasons why society and academia largely ignore overpopulation. The claim that discussing overpopulation is ‘anti-human’ is refuted. Causal Layered Analysis is used to examine why society ignores data that do not fit with its myths and metaphors, and how such denial is leading society towards collapse. Non-coercive solutions are then considered to reach an ecologically-sustainable human population. LinkedIn: https://www.linkedin.com/in/helenkopnina/

Leadership moments: Understanding nurse clinician‐scientists' leadership as embedded sociohistorical practices

Nurse clinician-scientists are increasingly expected to show leadership aimed at transforming healthcare. However, research on nurse clinician-scientists' leadership (integrating researcher and practitioner roles) is scarce and hardly embedded in sociohistorical contexts. This study introduces leadership moments, that is, concrete events in practices that are perceived as acts of empowerment, in order to understand leadership in the daily work of newly appointed nurse clinician-scientists. Following the learning history method we gathered data using multiple (qualitative) methods to get close to their daily practices. A document analysis provided us with insight into the history of nursing science to illustrate how leadership moments in the everyday work of nurse clinician-scientists in the “here and now” can be related to the particular histories from which they emerged. A qualitative analysis led to three acts of empowerment: (1) becoming visible, (2) building networks, and (3) getting wired in. These acts are illustrated with three series of events in which nurse clinician-scientists' leadership becomes visible. This study contributes to a more socially embedded understanding of nursing leadership, enables us to get a grip on crucial leadership moments, and provides academic and practical starting points for strengthening nurse clinician-scientists' leadership practices. Transformations in healthcare call for transformed notions of leadership.

Data Studio