Professionals' willingness to change is a necessity for successful implementation of changes in the organisation. This study focused on the influence of a transformational leadership style on professionals' willingness to change. This multiple case study was performed in three project management organisations that had recently implemented a new business information system. The research data were obtained through both qualitative and quantitative data collection. The qualitative investigation revealed that through leading by good example a manager has a positive influence on their employees' willingness to change. However, the quantitative investigation showed that there is no relationship between transformational leadership and the motivational factors of willingness to change. Finally, the study showed that the most important factors of employees' willingness to change are timing, involvement, emotions, necessity, and added value.
Professionals' willingness to change is a necessity for successful implementation of changes in the organisation. This study focused on the influence of a transformational leadership style on professionals' willingness to change. This multiple case study was performed in three project management organisations that had recently implemented a new business information system. The research data were obtained through both qualitative and quantitative data collection. The qualitative investigation revealed that through leading by good example a manager has a positive influence on their employees' willingness to change. However, the quantitative investigation showed that there is no relationship between transformational leadership and the motivational factors of willingness to change. Finally, the study showed that the most important factors of employees' willingness to change are timing, involvement, emotions, necessity, and added value
The Centre of Research in Knowledge Organisations and Knowledge Management of Zuyd University has developed a knowledge management scan. The scan initiates from two models. The first model is based on the Value Based Knowledge Management approach (Tissen, Andriessen & Lekanne Deprez, 1998) and includes 6 basic abilities of a knowledge-intensive organisation that will enable the organisation to operate successfully in a knowledge based economy (.The second model, developed by Wierdsma and Swieringa (2002), categorises organisations according to their level of learning that is to say, how it develops a specific learning ability. Both models are briefly reviewed within this paper. This knowledge management scan is a tool that enables an organisation to assess the development of its six basic abilities. Once the organisation has a clear insight into its own abilities, it will be able to strengthen its overall learning ability and improve the organisations’ competitive position. Additionally we take a close look at our research approach for developing and implementing the knowledge management scan. The scan encompasses 15 statements per ability (90 statements in total). The complete scan will be assessed on a five-point scale by a representative group of selected employees and managers of an organization, supervised by a researcher/consultant. During the analysis of the results and the presentation of recommendations, specific attention is paid to those statements that achieve high and low scores respectively (invitation to implement improvement actions) and statements that have a relatively high spread across a broad range (differences of opinion or the statement is open to different interpretations). In particular we have examined how the knowledge management scan was put into practice in one of the departments of Zuyd University. After a short summary of the organisation's initial situation, we discuss subsequent steps taken during the assessment, analysis and the advisory process. This paragraph is followed by a concise summary of the results generated by the scan. Finally we offer the recommendations and subsequent steps to be taken to implement these advices in the near future.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
The textile and clothing sector belongs to the world’s biggest economic activities. Producing textiles is highly energy-, water- and chemical-intensive and consequently the textile industry has a strong impact on environment and is regarded as the second greatest polluter of clean water. The European textile industry has taken significant steps taken in developing sustainable manufacturing processes and materials for example in water treatment and the development of biobased and recycled fibres. However, the large amount of harmful and toxic chemicals necessary, especially the synthetic colourants, i.e. the pigments and dyes used to colour the textile fibres and fabrics remains a serious concern. The limited range of alternative natural colourants that is available often fail the desired intensity and light stability and also are not provided at the affordable cost . The industrial partners and the branch organisations Modint and Contactgroep Textiel are actively searching for sustainable alternatives and have approached Avans to assist in the development of the colourants which led to the project Beauti-Fully Biobased Fibres project proposal. The objective of the Beauti-Fully Biobased Fibres project is to develop sustainable, renewable colourants with improved light fastness and colour intensity for colouration of (biobased) man-made textile fibres Avans University of Applied Science, Zuyd University of Applied Sciences, Wageningen University & Research, Maastricht University and representatives from the textile industry will actively collaborate in the project. Specific approaches have been identified which build on knowledge developed by the knowledge partners in earlier projects. These will now be used for designing sustainable, renewable colourants with the improved quality aspects of light fastness and intensity as required in the textile industry. The selected approaches include refining natural extracts, encapsulation and novel chemical modification of nano-particle surfaces with chromophores.
Wet and healthy peatlands have a strong natural potential to save carbon and, due to their waterbuffering capacity, play an important role in managing periods of excessive rains or droughts. Yet, inNWE regions large areas of peatlands are drained for peat mining, agriculture or forestry, whichmakes them CO2 emission sources rather than sinks. By restoring the capacity to buffer carbon andwater, BUFFER+ partners aim at climate change adaptation and mitigation in NWE regions, while atthe same time restore biodiversity and create new revenue streams.BUFFER+ involves 21 partners and 7 Associated Organisations from regions
