With summaries in Dutch, Esperanto and English. DOI: 10.4233/uuid:d7132920-346e-47c6-b754-00dc5672b437 "The subject of this study is deformation analysis of the earth's surface (or part of it) and spatial objects on, above or below it. Such analyses are needed in many domains of society. Geodetic deformation analysis uses various types of geodetic measurements to substantiate statements about changes in geometric positions.Professional practice, e.g. in the Netherlands, regularly applies methods for geodetic deformation analysis that have shortcomings, e.g. because the methods apply substandard analysis models or defective testing methods. These shortcomings hamper communication about the results of deformation analyses with the various parties involved. To improve communication solid analysis models and a common language have to be used, which requires standardisation.Operational demands for geodetic deformation analysis are the reason to formulate in this study seven characteristic elements that a solid analysis model needs to possess. Such a model can handle time series of several epochs. It analyses only size and form, not position and orientation of the reference system; and datum points may be under influence of deformation. The geodetic and physical models are combined in one adjustment model. Full use is made of available stochastic information. Statistical testing and computation of minimal detectable deformations is incorporated. Solution methods can handle rank deficient matrices (both model matrix and cofactor matrix). And, finally, a search for the best hypothesis/model is implemented. Because a geodetic deformation analysis model with all seven elements does not exist, this study develops such a model.For effective standardisation geodetic deformation analysis models need: practical key performance indicators; a clear procedure for using the model; and the possibility to graphically visualise the estimated deformations."
This research investigates the factors influencing the capital structure of 271 non-financial firms listed on the Korean Stock Exchange (KSE) over a broad period from 1995 to 2021, encompassing both stable and crisis conditions. Employing a dynamic panel data model and the generalized method of moments (GMM) estimation, we address the endogeneity issue introduced by the inclusion of lagged dependent variables. Our research integrates firm-specific internal factors with macroeconomic external variables to provide a comprehensive understanding of the influence of varying economic environments on capital structure. Our study suggests that in times of economic stability, the capital structure decisions of a firm are more influenced by internal factors such as profitability. However, in periods of economic downturns, it is the external macroeconomic market conditions that tend to have a greater impact on these decisions. It is also noteworthy that both book leverage (BL) and market leverage (ML) exhibit quicker adjustments during stable periods as opposed to periods of crisis. This indicates a higher agility of firms in adapting their capital structures in stable, normal conditions. Our findings contribute to the existing literature by offering a holistic view of capital structure determinants in Korean firms. They underscore the necessity of adaptable financial strategies that account for both internal dynamics and external economic conditions. This study fills a gap in current research, presenting new insights into the dynamics of capital structure in Korean firms and suggesting a multifaceted approach to understanding capital structure in diverse economic contexts.
Business model innovations emerge over time and are influenced by managerial interaction with stakeholders. Especially with regard to business model innovation for sustainability, manager-stakeholder interaction can radically change a company’s business model and underlying logic. However, the majority of the literature shows how manager–stakeholder interaction may limit business model innovation when stakeholders reinforce existing managerial cognitions. In this chapter we study how stakeholders can also stimulate business model innovation by affecting managerial cognitive change. Through three case studies, we find that this can occur through three shaping processes: market approach shaping, product/service offering shaping, and credibility shaping. We also find that the impact of new or latent stakeholders is greater than that of existing stakeholders. We end the chapter by sketching a research agenda to further unravel the role of stakeholders affecting managerial cognition around business model innovation for sustainability.
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
What new strategies, knowledge, skills and business models will businesses need; and what new policies and initiatives need to be developed to make the region ready for a successful future. Hanze will focus on innovation in energy transition and specially in small and medium businesses and their needs for the future.[Project in development]The project aims to maintain a competitive regional economy and to strengthen innovation support capacity by ensuring access to a strong and adaptable workforce with the necessary skills to support future growth. This will be done by increasing regional knowledge on future skills needs amongst SMEs and bridging existing skills gaps. Innovation support mechanisms and educational practices will be tested allowing for adjustments and the development of a robust future-proofed flexible system. The project will give authorities new tools within skills development, which are specially connected to the region's smart specialisation strategy. This will contribute to an increased innovation capacity in North Sea Region by aligning these two strategic elements in a regional perspective.Hanze will focus on strengthening new developments in energy transition by exploring growth potential of cross-border and cross-sectoral aspects. Expertise in value chain and systems innovations including cluster systems development and digital/other technologies will be leveraged to support exploration of growth potential and needs of the energy industry. HZ will co-create and evaluate new strategies, knowledge, skills and business models with clusters and businesses in energy transition sector.
The project aims to maintain a competitive regional economy and to strengthen innovation support capacity by ensuring access to a strong and adaptable workforce with the necessary skills to support future growth. This will be done by increasing regional knowledge on future skills needs amongst SMEs and bridging existing skills gaps. Innovation support mechanisms and educational practices will be tested allowing for adjustments and the development of a robust future-proofed flexible system. The project will give authorities new tools within skills development, which are specially connected to the region's smart specialisation strategy. This will contribute to an increased innovation capacity in North Sea Region by aligning these two strategic elements in a regional perspective.Hanze will focus on strengthening new developments in energy transition by exploring growth potential of cross-border and cross-sectoral aspects. Expertise in value chain and systems innovations including cluster systems development and digital/other technologies will be leveraged to support exploration of growth potential and needs of the energy industry. HZ will co-create and evaluate new strategies, knowledge, skills and business models with clusters and businesses in energy transition sector.
