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The purpose of this study was to analyse knowledge management research trends to understand the development of the field using a combination of scientometric, bibliometric, and visualisation techniques, subsequently developing a normative framework of knowledge management from the results.282 articles between the years 2010–2015 were retrieved, analysed, and visualised to produce the state of knowledge management during the selected timeframe. The results of this study provide a visualisation of the current research trends to understand the development of the knowledge management discipline. There are signals that the literature about knowledge management is progressing towards academic maturity. This study is one of the first studies to combine bibliometric and scientometric methods to assess productivity along with visualisation, and subsequently provide a knowledge management framework drawing from the results of these methods.
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As a young and interdisciplinary field, Knowledge Management (KM) holds a crucial role in scientific research and development of knowledge-intensive economies. This study elaborates on the methods used in previous studies regarding the research trends of KM and their contribution to the discipline by examining the KM literature. The purpose of the study is to determine the current research trends of KM by analysing KM citation classics and examining their characteristics as well as presenting a holistic framework of KM publications from the results of citation analysis. A total of 152 articles published in peer review journals between the years 2010-2014 were analysed. As a result of the analysis, a holistic KM framework was developed in order to contribute to a consensus of KM field. The results of the study reveals that the coverage of KM articles expanded into a broad spectrum of concepts, disciplines and environment.
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The sources of productivity have always been the main subject of economic debate because they are the main determinants of profitability and competitiveness. In order to improve productivity we should be able to identify the sources of productivity. This article presents a method for measuring the sources of knowledge productivity in order to give direction to knowledge management initiatives. The method is based on a theoretical framework which combines two different perspectives (economic and process) on knowledge productivity. This article presents the methodological and theoretical framework, the initial design of the method and the results of the first two case studies. The relevance of this article is that it combines the concepts of knowledge management and intellectual capital measurement in the relatively new concept of knowledge productivity.
Grote steden staan de komende decennia voor enorme uitdagingen om ruimtelijke herstructurering en versterking van sociaaleconomische posities van bepaalde wijken, te combineren met leefbaarheids-, duurzaamheids-, en mobiliteitsambities. Dit zijn vraagstukken waar bij uitstek verschillende fysieke, sociale, economische en bestuurlijke professionals moeten samenwerken. Dit onderzoek richt zicht op boundary spanners, professionals die een sleutelrol spelen in het verbinden van domeinoverstijgende vraagstukken. Met de toename en complexiteit van maatschappelijke vragen in het grootstedelijke domein groeit ook de behoefte aan en het belang van boundary spanners in het realiseren van effectieve samenwerking. Kennis over de effectiviteit van hun werkpraktijken blijft echter achter. Gezien de urgentie van grootstedelijke vraagstukken, is het van groot belang deze kennis te ontwikkelen. De (grootstedelijke) professionals die in de rol van boundary spanner vervullen of die rol ambiëren vragen zich dan ook af: Hoe krijg ik zicht op mijn eigen boundary spanner praktijk als individu of binnen een team werken, welke mogelijke verbeteringen zijn er in ons handelen en wat daarvan is overdraagbaar naar andere professionals en andere situaties? Door deze praktijkvraag te combineren met theoretische kennis vanuit bestuurskunde en verandermanagement, geeft dit onderzoek antwoord op de overkoepelende onderzoeksvraag: Wat zijn de kenmerken van de werkpraktijken waarin (grootstedelijke) professionals, die we kunnen typeren als of boundary spanners, de grenzen tussen domeinen bij grootstedelijke vraagstukken weten te overbruggen? Het onderzoek is een co-creatie van stedelijke professionals in teams van vijf praktijkcases: het programma Haven-Stad (Amsterdam); de regiodeal Den Haag Zuidwest; het project Cruciale Mijl (Amsterdam); Combiwel buurtwerk (Amsterdam) en het team gebiedsadviseurs (Amsterdam), met onderzoekers van de Centres of Expertise van de Hogeschool van Amsterdam en de Haagse Hogeschool. Dit onderzoek expliciteert de werkregels die boundary spanners in staat stelt om domeinoverstijgend te werken en levert op die manier een wezenlijke bijdrage aan het realiseren van deze grootstedelijke vraagstukken.
Examining in-class activities to facilitate academic achievement in higher educationThere is an increasing interest in how to create an effective and comfortable indoor environment for lecturers and students in higher education. To achieve evidence-based improvements in the indoor environmental quality (IEQ) of higher education learning environments, this research aimed to gain new knowledge for creating optimal indoor environmental conditions that best facilitate in-class activities, i.e. teaching and learning, and foster academic achievement. The academic performance of lecturers and students is subdivided into short-term academic performance, for example, during a lecture and long-term academic performance, during an academic course or year, for example. First, a systematic literature review was conducted to reveal the effect of indoor environmental quality in classrooms in higher education on the quality of teaching, the quality of learning, and students’ academic achievement. With the information gathered on the applied methods during the literature review, a systematic approach was developed and validated to capture the effect of the IEQ on the main outcomes. This approach enables research that aims to examine the effect of all four IEQ parameters, indoor air quality, thermal conditions, lighting conditions, and acoustic conditions on students’ perceptions, responses, and short-term academic performance in the context of higher education classrooms. Next, a field experiment was conducted, applying the validated systematic approach, to explore the effect of multiple indoor environmental parameters on students and their short-term academic performance in higher education. Finally, a qualitative case study gathered lecturers’ and students’ perceptions related to the IEQ. Furthermore, how these users interact with the environment to maintain an acceptable IEQ was studied.During the systematic literature review, multiple scientific databases were searched to identify relevant scientific evidence. After the screening process, 21 publications were included. The collected evidence showed that IEQ can contribute positively to students’ academic achievement. However, it can also affect the performance of students negatively, even if the IEQ meets current standards for classrooms’ IEQ conditions. Not one optimal IEQ was identified after studying the evidence. Indoor environmental conditions in which students perform at their best differ and are task depended, indicating that classrooms should facilitate multiple indoor environmental conditions. Furthermore, the evidence provides practical information for improving the design of experimental studies, helps researchers in identifying relevant parameters, and lists methods to examine the influence of the IEQ on users.The measurement methods deduced from the included studies of the literature review, were used for the development of a systematic approach measuring classroom IEQ and students’ perceived IEQ, internal responses, and short-term academic performance. This approach allowed studying the effect of multiple IEQ parameters simultaneously and was tested in a pilot study during a regular academic course. The perceptions, internal responses, and short-term academic performance of participating students were measured. The results show associations between natural variations of the IEQ and students’ perceptions. These perceptions were associated with their physiological and cognitive responses. Furthermore, students’ perceived cognitive responses were associated with their short-term academic performance. These observed associations confirm the construct validity of the composed systematic approach. This systematic approach was then applied in a field experiment, to explore the effect of multiple indoor environmental parameters on students and their short-term academic performance in higher education. A field study, with a between-groups experimental design, was conducted during a regular academic course in 2020-2021 to analyze the effect of different acoustic, lighting, and indoor air quality (IAQ) conditions. First, the reverberation time was manipulated to 0.4 s in the intervention condition (control condition 0.6 s). Second, the horizontal illuminance level was raised from 500 to 750 lx in the intervention condition (control condition 500 lx). These conditions correspond with quality class A (intervention condition) and B (control condition), specified in Dutch IEQ guidelines for school buildings (2015). Third, the IAQ, which was ~1100 ppm carbon dioxide (CO2), as a proxy for IAQ, was improved to CO2 concentrations under 800 ppm, meeting quality class A in both conditions. Students’ perceptions were measured during seven campaigns with a questionnaire; their actual cognitive and short-term academic performances were evaluated with validated tests and an academic test, composed by the lecturer, as a subject-matter-expert on the taught topic, covered subjects discussed during the lecture. From 201 students 527 responses were collected and analyzed. A reduced RT in combination with raised HI improved students’ perceptions of the lighting environment, internal responses, and quality of learning. However, this experimental condition negatively influenced students’ ability to solve problems, while students' content-related test scores were not influenced. This shows that although quality class A conditions for RT and HI improved students’ perceptions, it did not influence their short-term academic performance. Furthermore, the benefits of reduced RT in combination with raised HI were not observed in improved IAQ conditions. Whether the sequential order of the experimental conditions is relevant in inducing these effects and/or whether improving two parameters is already beneficial, is unknownFinally, a qualitative case study explored lecturers’ and students’ perceptions of the IEQ of classrooms, which are suitable to give tutorials with a maximum capacity of about 30 students. Furthermore, how lecturers and students interact with this indoor environment to maintain an acceptable IEQ was examined. Eleven lecturers of the Hanze University of Applied Sciences (UAS), located in the northern part of the Netherlands, and twenty-four of its students participated in three focus group discussions. The findings show that lecturers and students experience poor thermal, lighting, acoustic, and IAQ conditions which may influence teaching and learning performance. Furthermore, maintaining acceptable thermal and IAQ conditions was difficult for lecturers as opening windows or doors caused noise disturbances. In uncomfortable conditions, lecturers may decide to pause earlier or shorten a lecture. When students experienced discomfort, it may affect their ability to concentrate, their emotional status, and their quality of learning. Acceptable air and thermal conditions in classrooms will mitigate the need to open windows and doors. This allows lecturers to keep doors and windows closed, combining better classroom conditions with neither noise disturbances nor related distractions. Designers and engineers should take these end users’ perceptions into account, often monitored by facility management (FM), during the renovation or construction of university buildings to achieve optimal IEQ conditions in higher education classrooms.The results of these four studies indicate that there is not a one-size fits all indoor environmental quality to facilitate optimal in-class activities. Classrooms’ thermal environment should be effectively controlled with the option of a local (manual) intervention. Classrooms’ lighting conditions should also be adjustable, both in light color and light intensity. This enables lecturers to adjust the indoor environment to facilitate in-class activities optimally. Lecturers must be informed by the building operator, for example, professionals of the Facility Department, how to change classrooms’ IEQ settings. And this may differ per classroom because each building, in which the classroom is located, is operated differently apart from the classroom location in the building, exposure to the environment, and its use. The knowledge that has come available from this study, shows that optimal indoor environmental conditions can positively influence lecturers’ and students’ comfort, health, emotional balance, and performance. These outcomes have the capacity to contribute to an improved school climate and thus academic achievement.
The postdoc candidate, Sondos Saad, will strengthen connections between research groups Asset Management(AM), Data Science(DS) and Civil Engineering bachelor programme(CE) of HZ. The proposed research aims at deepening the knowledge about the complex multidisciplinary performance deterioration prediction of turbomachinery to optimize cleaning costs, decrease failure risk and promote the efficient use of water &energy resources. It targets the key challenges faced by industries, oil &gas refineries, utility companies in the adoption of circular maintenance. The study of AM is already part of CE curriculum, but the ambition of this postdoc is that also AM principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop an AM material science line and will facilitate applied research experiences for students, in collaboration with engineering companies, operation &maintenance contractors and governmental bodies. Consequently, a new generation of efficient sustainability sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment being more sustainable with less CO2 footprint, with possible connections with other fields of study, such as Engineering, Economics &Chemistry. The project is also strongly contributing to the goals of the National Science Agenda(NWA), in themes of “Circulaire economie en grondstoffenefficiëntie”,”Meten en detecteren: altijd, alles en overall” &”Smart Industry”. The final products will be a framework for data-driven AM to determine and quantify key parameters of degradation in performance for predictive AM strategies, for the application as a diagnostic decision-support toolbox for optimizing cleaning &maintenance; a portfolio of applications &examples; and a new continuous learning line about AM within CE curriculum. The postdoc will be mentored and supervised by the Lector of AM research group and by the study programme coordinator(SPC). The personnel policy and job function series of HZ facilitates the development opportunity.