Dialogue-based evaluation as a creative climate indicator

This paper examines how different forms of performance evaluation relate to aspects of the creative climate in a major pharmaceutical company. The study was based on a large employee-attitude survey that was distributed to all company employees. The study analyses survey results from 5,333 employees at five R&D sites. The results indicate that management’s evaluation of employees (either dialogue-based or control-based) relates to the type of motivation (intrinsic or extrinsic) that drives employees, to their style of thinking (value-focused thinking) and on their attitudes to organizational creativity. The paper then discusses implications of these findings for HRM

Drivers of organizational creativity

A path model of organizational creativity was presented; it conceptualized the influences of information sharing, learning culture, motivation, and networking on creative climate. A structural equation model was fitted to data from the pharmaceutical industry to test the proposed model. The model accounted for 86% of the variance in the creative climate dependent variable. Information sharing had a positive effect on learning culture, which in turn had a positive effect on creative climate, while there were negative direct effects of information sharing on creative climate and on intrinsic motivation. This study suggests that information sharing and intrinsic motivation are important drivers for organizational creativity in a complex R&D environment in the pharmaceutical industry. Implications of the model are discussed

Dialogue-based evaluation as a creative climate indicator: evidence from the pharmaceutical industry

This paper examines how different forms of performance evaluation relate to aspects of the creative climate in a major pharmaceutical company. The study was based on a large employee-attitude survey that was distributed to all company employees. The study analyses survey results from 5,333 employees at five R&D sites. The results indicate that management's evaluation of employees (either dialogue-based or control-based) relates to the type of motivation (intrinsic or extrinsic) that drives employees, to their style of thinking (value-focused thinking) and on their attitudes to organizational creativity. The paper then discusses implications of these findings for HRM

Drivers of organizational creativity: A path model of creative climate in pharmaceutical R&D

A path model of organizational creativity was presented; it conceptualized the influences of information sharing, learning culture, motivation, and networking on creative climate. A structural equation model was fitted to data from the pharmaceutical industry to test the proposed model. The model accounted for 86% of the variance in the creative climate-dependent variable. Information sharing had a positive effect on learning culture, which in turn had a positive effect on creative climate, while there were negative direct effects of information sharing on creative climate and on intrinsic motivation. This study suggests that information sharing and intrinsic motivation are important drivers for organizational creativity in a complex R&D environment in the pharmaceutical industry. Implications of the model are discussed

Effect of Chemical Sputtering on the Growth and Structural Evolution of Magnetron Sputtered CNx Thin Films

The growth and microstructure evolution of carbon nitride CNx (0≤x≤0.35) films, deposited by reactive d.c. magnetron sputtering in Ar/N2 discharges has been studied. The substrate temperature TS varied between 100 and 550°C, and the N2 fraction in the discharge gas varied from 0 to 100%. It is found that the deposition rate and film morphology show strong dependence on TS and nitrogen fraction. For growth temperature of 100°C, the films are amorphous, and essentially unaffected by the nitrogen fraction. For TS\u3e200°C, however, the nitrogen fraction has more significant effect on the growth and structural evolution of the films. The pure carbon films appear porous and have a high surface roughness. For increasing nitrogen fraction the films become denser and the roughness decreases by one order of magnitude. It is suggested that a chemical sputtering process, during which desorption of volatile N2 and CN-species, predominantly C2N2, is important not only for the deposition rate and the nitrogen incorporation, but also for the resulting film structure. The chemical sputtering process becomes more pronounced at elevated temperatures with higher nitrogen fractions

The launch of the European Institute for innovation through health data

The European Institute for Innovation through Health Data (i~HD) has been formed as one of the sustainable entities arising from the Electronic Health Records for Clinical Research (EHR4CR) and SemanticHealthNet projects, in collaboration with other European Commission projects and initiatives. The vision of i~HD is to become the European organisation of reference for guiding and catalysing the best, most efficient and trustworthy uses of health data and interoperability, for optimizing health and knowledge discovery.i~HD has been established in recognition that there is a need to tackle areas of challenge in the successful scaling up of innovations that rely on high-quality and interoperable health data, to sustain and propagate the results of eHealth research, and to address current-day obstacles to using health data. i~HD was launched at an inaugural conference in Paris, in March 2016. This was attended by over 200 European clinicians, healthcare providers and researchers, representatives of the pharma industry, patient associations, health professional associations, the health ICT industry and standards bodies. The event showcased issues and approaches, that are presented in this paper to highlight the activities that i~HD intends to pursue as enablers of the better uses of health data, for care and research

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research.

Big data is central to new developments in global clinical science aiming to improve the lives of patients. Technological advances have led to the routine use of structured electronic healthcare records with the potential to address key gaps in clinical evidence. The covid-19 pandemic has demonstrated the potential of big data and related analytics, but also important pitfalls. Verification, validation, and data privacy, as well as the social mandate to undertake research are key challenges. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including patient representatives, clinicians, scientists, regulators, journal editors and industry. We propose the CODE-EHR Minimum Standards Framework as a means to improve the design of studies, enhance transparency and develop a roadmap towards more robust and effective utilisation of healthcare data for research purposes

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research.

Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes