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In the last decade, in many European Countries more and more measures have been initiated aiming at the prevention of food losses and wastes along the entire value chain. In order to evaluate or monitor such important measures it is crucial to obtain quantitative information on generated food waste amounts, subsequently enabling the quantitative evaluation of the measure’s outcomes and efficiency. Currently there is a paucity of quantitative information, particularly on food losses that are directly generated during harvesting processes. Up to date, no method is available or standardised aiming at the in-situ or on-site quantification of food losses during harvest. Using the example of the potato harvest, this study presents a practical approach for determining potato losses. To test the applicability of the developed method, on-site measurements were conducted directly on the field at five different locations in Austria and Germany. Our method enables the quantification of food losses based on defined areas along the harvested potato rows, where the analyser manually collects potatoes during their harvest. Hereby, two types of potato losses needs to be considered: non-harvested, under-sized potatoes that remain under the earth and the harvested ones, which are rejected on-site because of quality requirements regarding their size, shape, and state of health. Our study shows that between 1 and 9% of field losses (based on yield potential) can be generated during the potato harvest. In future, this method may be the basis for standardised protocols in order to be able to derive cultivar-specific benchmarks and, consequently, to develop measures for preventing food losses. In general, more case studies and evidence-based ground-up measurements on other cultivars and for other regions are needed focusing on the on-site quantification of post-harvest losses.
Family-Firm Transformational Leadership, Familiness and Performance: A Four-Path Mediation Model
(2019)
An important strength of family firms is the familiness of these firms. We examined how the transformational leadership style could strengthen firms’ performance levels through familiness. In this cross-sectional field study, survey measures were obtained from family CEOs of 72 German family firms, and the members of their non-family-based TMTs (245 TMT members). Support was obtained for a four-path mediation model, in which three distinct familiness-related team forces (TMT cohesion, behavioral integration, and efficacy) serve as mediators between CEO TFL and family-firm performance in a series. It is argued here that positive familiness results from a specific leadership style.
The Bill, Please! Households’ Real Returns on Financial Assets Since the Introduction of the Euro
(2019)
Is German family firm performance affected by CEO and TMT behavior and emotional intelligence?
(2019)
There are many challenges in identifying and managing a disruptive innovation stemming from the limited knowledge on how it unfolds over time. Researchers have identified early signals and ex ante conditions that indicate its occurrence. However, an analysis from a process view acknowledging the underlying dynamics is yet to be done. By taking a process view within a systematic literature review, we analyse the scattered findings on the process of disruptive innovation to identify events and actions leading to a disruptive effect over time. We challenge the understanding of disruptive innovation as an outcome and the linearity of the process by proposing that disruptive innovation can be understood as occurring through emergent dynamics. These dynamics are constituted by: (a) the timing of entry and underlying processes that influences (b) the synchronization of events and actions and is shaped by (c) the adaptability of strategic actions. Thus, we complexify the concept of disruptive innovation to support the understanding of its unfolding and advance its manageability.
Process-Driven Applications (PDA) require less coding, for their business logic is defined by a business process model which can be executed by a process engine. However, inconsistencies between process model and dependent source code artifacts cause runtime errors and reduce development productivity. This paper targets at making the development of PDAs more efficient: It proposes a broader approach to statical analysis which also covers consistency constraints between model and code. When integrated into common analysis tools or a continuous integration pipeline, defects like broken code references or data-flow anomalies can be detected at an early stage without launching the entire application and its process interpretation engine. The approach is demonstrated by a prototype called viadee Process Application Validator (vPAV), which was developed for BPMN-based process models. The prototype has already been used in various BPM projects, attesting high benefit and potential.
Editorial
(2019)
Experience shows that energy savings through energy efficiency measures are partly compensated by income growth, and partly by rebound effects. Therefore to be effective, efficiency measures have to be embedded in a concept of sufficiency which strives for limits and absolute reduction of energy consumption. While the sufficiency concept is not new, it only recently gained attention in the field of housing. This paper provides a basis for broader and more informed debates in policy and research on the potential of sufficiency considerations to contribute to the overall reduction of energy consumption in the residential sector. It recommends shifting the attention from energy consumption of buildings towards a concept of sustainable homes in which e.g. the size of the living area plays a crucial role. A further important aspect is the possibility to fulfil other basic needs like the provision with food, recreation and social contacts in the nearby environment. The paper describes first examples of housing projects guided by sufficiency criteria, depicts the potential roles of different actor groups and points towards some general policy recommendations.
It is increasingly obvious that for safeguarding environmental sustainability, eco‐efficiency measures will need to be complemented by sufficiency, in particular by strong sustainable consumption. The Theory of Planned Behaviour TPB and Social Practice Theory SPT offer different views on consumer behaviour, and on ways to change it. This paper briefly describes the challenges, discusses the applicability of both theories and their meaningfulness for policy recommendations.
We suggest an approach combining results of both bodies of theory, complemented by ideas from political economy, to substantiate the Prism of Sustainable Consumption we introduce as a heuristic sufficiency policy tool. It is useful to identify affordability criteria for change in each dimension, as the basis for deriving suggestions for effective policy interventions. We conclude
that (i) effective interventions are possible, (ii) they have to address several dimensions of affordability simultaneously, and (iii) the sufficiency policy space prism can be a useful tool in structuring planned interventions.
Camera based path planning for low quantity - high variant manufacturing with industrial robots
(2019)
The acquisition costs for industrial robots have been steadily decreasing in past years. Nevertheless, they still face significant drawbacks in the required effort for the preparation of complex robot tasks which causes these systems to be rarely present so far in small and medium-sized enterprises (SME) that focus mainly on small volume, high variant manufacturing. In this paper, we propose a camera-based path planning framework that allows the fast preparation and execution of robot tasks in dynamic environments which leads to less planning overhead, fast program generation and reduced cost and hence overcomes the major impediments for the usage of industrial robots for automation in SMEs with focus on low volume and high variant manufacturing. The framework resolves existing problems in different steps. The exact position and orientation of the workpiece are determined from a 3D environment model scanned by an optical sensor. The so retrieved information is used to plan a collision-free path that meets the boundary conditions of the specific robot task. Experiments show the potential and effectiveness of the the framework presented here by evaluating a case study.
With a view to future large space telescopes, we investigate image-based wavefront correction with active optics. We use an image-sharpness metric as merit function to evaluate the image quality, and the Zernike modes as control variables. In severely aberrated systems, the Zernike modes are not orthogonal to each other with respect to this merit function. Using wavefront maps, the PSF, and the MTF, we discuss the physical causes for the non-orthogonality of the Zernike modes with respect to the merit function. We show that for combinations of Zernike modes with the same azimuthal order, a flatter wavefront in the central region of the aperture is more important than the RMS wavefront error across the full aperture for achieving a better merit function. The non-orthogonality of the Zernike modes with respect to the merit function should be taken into account when designing the algorithm for image-based wavefront correction, because it may slow down the process or lead to premature convergence.
Particularly in times of disruptive changes, companies need an early warning system for risks in their supply chains to gain relevant information in a timely manner. Furthermore, they require suitable action plans and strategies to help react when a risk occurs. Based on an in-depth case study at an automotive parts supplier producing electronic systems and lighting components, this paper develops a holistic supply chain risk management framework. After investigating the specific supply chain risks to support critical parts management, standardised processes and procedures are developed to improve the preventive supply chain risk strategy cycle, as well as the reactive critical parts management cycle.
One way or another – The relationship between trust and transparency in buyer-supplier relationships
(2019)
Based on a variety of environmental, technological, and product-orientated changes, there has been a shift towards increased collaboration between buyers and suppliers. This paper examines the mutual influence of trust and transparency at different developmental stages of these collaborative relations. In particular, the research investigates the existence of a direct correlation between trust and transparency, as well as indirect dependencies to each other through environmental factors. An extensive literature review combined with an exploratory-qualitative World Café method was conducted in an attempt to fill the research gap regarding the correlation of trust and transparency in buyer-supplier relationships.
Buying firms lack transparency about the supplier relationships in their networks. The applica-tion of dedicated tools such as Supply Network Mapping (SNM) can help to visualize and analyze these relationships. However, the impact of such tools on the purchasing performance has not been explored yet. Moreover, companies with different competitive strategies might have different motivations to use these tools. Therefore, this paper tests the impact of supplier relationship information and SNM on the purchasing performance on a large sample of 624 purchasers. A multi-group analysis in structural equation modeling estimates the impact of a cost leadership versus a differentiation strategy on cost saving and innovation performance. We show that information quality and SNM indeed improve the purchasing performance. Moreover, cost leaders use SNM if they know their supplier relationships with sub-suppliers, while innovation leaders use it if they know their supplier relationships with other customers. Hence, our results prove the usefulness of the SNM tool and give recommendations for its use depending on a company’s competitive strategy.
Most companies have realized the high importance of becoming the preferred customers of their suppliers to obtain preferential resource allocation. However, they cannot evaluate their own customer attractiveness properly. In order to make the assessment of the own customer status possible, this paper analyzes the impact of several information sources on the preferred customer status knowledge, supplier satisfaction knowledge and knowledge of alternative supplier relationships with other customers. Testing these hypotheses on a sample of 624 pur-chasers, we show that people provide more relevant information on the company’s strategic positioning than media. In particular, the suppliers, competitors and other actors are very im-portant information sources. Following our findings, purchasers should adopt their activities in order to better anticipate their suppliers’ intention and the customer treatment that they can expect from their suppliers.
Purpose. Organization renewal through innovation represents a difficult managerial challenge in family firms. Our research reveals a framework for sustaining innovation capabilities through a perspective of value and process principles.
Design/methodology/approach. We examined findings from consulting projects in high performing family firms and literature from the areas of family firm strategy and leadership.
Findings. We describe how combining patterns of innovative organizations with patterns of high-performing family firms can help leaders to sustain innovation. This study indicates that a value- and process-driven perspective is important for effective innovation. In particular, the four value principles are continuity-, community-, connection- and command-related factors (4C’s). The four process principles, in turn, are profession-, project-, product- and purchaser-related factors (4P’s).
Originality/value. This paper is part of a wider study of innovative German family firms initiated in 2012. Our 4C’s and 4P’s framework suggests a practical means to better implement innovation by reconciling the firm’s innovation strategy, leadership behavior
and organizational learning.
Algorithmic Design and Resilience Assessment of Energy Efficient High-Rise Water Supply Systems
(2019)
Image-sharpness metrics can be used to optimize optical systems and to control wavefront sensorless adaptive optics systems. We show that for an aberrated system, the numerical value of an image-sharpness metric can be improved by adding specific aberrations. The optimum amplitudes of the additional aberrations depend on the power spectral density of the spatial frequencies of the object.
Diese Arbeit kann in der Bibliothek für Architektur, Design und Kunst (Leonardocampus 10) eingesehen werden.
Anwendung von PCMs (Phase Change Materials) bei leichten Konstruktionen : [Wintersemester 2018/2019]
(2019)
Diese Arbeit kann im Prüfungsamt des Fachbereichs Architektur eingesehen werden.
Strategically Aligning Additive Manufacturing Supply Chains for Sustainability and Effectiveness
(2019)
This paper builds on a previously developed framework that integrated additive manufacturing, life-cycle analysis, and value creation (Feldmann & Kirsch, 2019) by exploring conditions related to the life-cycle approach that would require alignment among suppliers, additive manufacturing firms, and customers. This extension creates a bridge to aid implementation of taking a sustainability approach to additive manufacturing. In order to develop this extension, we distinguish between direct/indirect customers and internal/external customers and then create a matrix of incentives and cognitive frames that we believe will help companies interested in large-scale AM improve both the speed and the effectiveness of AM adoption. We provide an organizing framework that managers can use to create a supply chain that is aligned around closed-loop principles that will help speed adoption and move closer to sustainable goals that exist for AM technologies. These include reduced raw material use, reduced scrap and material overage, and reduced rework, and lower transportation costs. The goal is to attain often-conflicting goals of lower long-term costs and decreased environmental footprint. Using our extension, we believe we can provide a useful framework to help managers implementing advanced manufacturing technologies to achieve lower costs and greater environmental sustainability by creating a common supply chain framework around customized, on-demand products.
Background: Cardiovascular disease (CVD) is the leading cause of death in industrialized countries and worldwide. The concentrations of serum total and LDL cholesterol as well as a higher intima media thickness of the common carotid artery (ccIMT) are associated with higher CVD risk. Measuring ccIMT makes it possible to already assess the atherosclerotic process at the subclinical stage. Methods: A two-year nonrandomized, controlled intervention study with 6 times of measurement (baseline; at 10 weeks; at 6, 12, 18, and 24 months). Participants of the intervention group (n = 112) took part in a ten-week intensive lifestyle program (including bi-weekly group sessions, workshops, and personal health coaching at baseline and at 10 weeks), followed by a less intensive phase (monthly lifestyle education group sessions). The control group (n = 87) did not take part in any program. In both groups, CVD-related parameters were assessed, including cholesterol (total, LDL, HDL), ccIMT (not assessed at 10 weeks), as well as health behavior (questionnaires). In between group means were compared with ANOVA using IBM SPSS 24. Results: After 10 weeks, the intervention group showed a reduction in total, LDL, and HDL cholesterol values compared to baseline (p < 0.01). In the control group, these parameters did not change. After 6 months, there was no statistically significant difference in ccIMT change between intervention and control. The 6-month blood results are not available
yet. Conclusion: Our lifestyle program led to clinically relevant reductions in total and LDL cholesterol. Continued follow-up will show whether the improvement of cholesterol levels will be maintained in the intervention group and whether ccIMT will differ between intervention and control.
Lifestyle diseases are linked with hyper-reactivity of inflammatory and immune cells. These cells generate free radicals in the patients, which results in oxidative stress. Recent studies have brought attention to the role of oxidative stress, defined as an imbalance between reactive oxygen species (ROS) and antioxidants. Our research was focused on studying the effects of a community-based lifestyle intervention program on oxidative stress paraments in the plasma of a rural German community. In our study, we examined 105 participants in the intervention group and 70 participants in the control group. The intervention group received 10 weeks of intensive intervention in the form of seminars and workshops. The plasma levels were analyzed at baseline and after 10 weeks of intervention. This is a first-of-itskind study which elucidates the impact of an intensive lifestyle intervention program on the oxidative stress markers in German rural participants. The primary focus of our study was to motivate and encourage participants to switch over toward a healthier lifestyle by improving their knowledge and making them more aware of the principles of healthy living. This may be a useful community program approach, modifiable for different communities by health-services planners in the coming future.
A major requirement for Credit Scoring models is of course to provide a risk prediction that is as accurate as possible. In addition, regulators demand these models to be transparent and auditable. Thus, in Credit Scoring very simple Predictive Models such as Logistic Regression or Decision Trees are still widely used and the superior predictive power of modern Machine Learning algorithms cannot be fully leveraged. A lot of potential is therefore missed, leading to higher reserves or more credit defaults. This talk presents an overview of techniques that are able to make “black box” machine learning models transparent and demonstrate how they can be applied in Credit Scoring. We use the DALEX set of tools to compare a traditional scoring approach with state of the art Machine Learning models and asses both approaches in terms of interpretability and predictive power. Results show that a comparable degree of interpretability can be achieved while machine learning techniques keep their ability to improve predictive power.
Project management is a lot about structuring. Challenges in introducing new software especially in the field of digitalization are to address the needs of planning, budget and schedule adherence as well as involving the users in the development process. Classic project management is usually focused on following the plan and keeping the project in schedule and budget. Agile project management puts the user in the center and aims at fulfilling his needs. The University of Applied Sciences Münster has aligned its project management with the PRINCE2 standard. The introduction of an enterprise content management system started in 2017 as a new project. To fulfill the user’s needs and keep the project management standard it has been tailored to achieve the project goals by integrating agile stages. This adaptation is presented in this paper as an example of structured hybrid project management.
The Portable Document Format, better known as PDF, is one of themost widely used document formats worldwide, and in order to en-sure information confidentiality, this file format supports documentencryption. In this paper, we analyze PDF encryption and showtwo novel techniques for breaking the confidentiality of encrypteddocuments. First, we abuse the PDF feature ofpartially encrypteddocuments to wrap the encrypted part of the document withinattacker-controlled content and therefore, exfiltrate the plaintextonce the document is opened by a legitimate user. Second, we abusea flaw in the PDF encryption specification to arbitrarily manipulateencrypted content. The only requirement is that a single block ofknown plaintext is needed, and we show that this is fulfilled bydesign. Our attacks allow the recovery of the entire plaintext of en-crypted documents by using exfiltration channels which are basedon standard compliant PDF properties.We evaluated our attacks on 27 widely used PDF viewers andfound all of them to be vulnerable. We responsibly disclosed thevulnerabilities and supported the vendors in fixing the issue
Digitalization and sustainable development are goals of the global community, but can they also be achieved simultaneously? This article investigates the impacts of additive manufacturing (AM) on sustainable production and consumption. The use of AM technology as a means of digitalizing manufacturing processes is assessed through a qualitative life cycle analysis.
The model developed for this purpose provides a structure for an analysis of the general ecological effects of AM. The systematics of the life cycle model also supports a company-specific assessment.
AM can have a positive impact on achieving sustainable development with regards to ecological effects, particularly by reducing the consumption of resources in production and distribution. However, there are also negative ecological impacts of this technology, such as rebound effects and high energy consumption, which vary depending on the application and the printing process. It appears necessary for regulatory policy to intervene to maximize the opportunities for the positive effects of this technology. However, it is important to reduce the risks that contradict the objectives of the 12th Sustainable Development Goal of the UN: sustainability of consumption and production.
Developing Engaged and Entrepreneurial Universities - Theories, Concepts and Empirical Findings
(2019)
Accurate self-localisation is a fundamental ability of any mobile robot. In Monte Carlo localisation, a probability distribution over a space of possible hypotheses accommodates the inherent uncertainty in the position estimate, whereas bounded-error localisation provides a region that is guaranteed to contain the robot. However, this guarantee is accompanied by a constant probability over the confined region and therefore the information yield may not be sufficient for certain practical applications. Four hybrid localisation algorithms are proposed, combining probabilistic filtering with non-linear bounded-error state estimation based on interval analysis. A forward-backward contractor and the Set Inverter via Interval Analysis are hybridised with a bootstrap filter and an unscented particle filter, respectively. The four algorithms are applied to global localisation of an underwater robot, using simulated distance measurements to distinguishable landmarks. As opposed to previous hybrid methods found in the literature, the bounded-error state estimate is not maintained throughout the whole estimation process. Instead, it is only computed once in the beginning, when solving the wake-up robot problem, and after kidnapping of the robot, which drastically reduces the computational cost when compared to the existing algorithms. It is shown that the novel algorithms can solve the wake-up robot problem as well as the kidnapped robot problem more accurately than the two conventional probabilistic filters.
The mechanical set up of a novel scanning reflection X-ray microscope is presented. It is based on zone plate optics optimized for reflection mode in the EUV spectral range. The microscope can operate at synchrotron radiation beamlines as well as at laboratory-based plasma light sources. In contrast to established X-ray transmission microscopes that use thin foil samples the new microscope design presented here allows the investigation of any type of bulk materials. Importantly, this permits the investigation of magnetic materials by employing experimental techniques based on the X-ray magnetic circular dichroism (XMCD), the X-ray linear magnetic dichroism or the transversal magneto-optical Kerr effect (T-MOKE). The reliable functionality of the new microscope design has been demonstrated by T-MOKE microscopy spectra of Fe/Cr-wedge/Fe trilayer samples. The spectra were recorded at various photon energies across the Fe 3p edge revealing the orientation of magnetic domains in the sample.
Learn anything, anytime, anywhere is the mantra for learning in the digital age. Digital learning opportunities are increasingly challenging traditional classroom learning – but what does this mean for the conceptual design and design-in-use of campus spaces as learning locations? Does space really not matter in learning? During a two-day design thinking workshop an interdisciplinary group of 17 students produced ideas for new learning spaces and mapped out their spatial learning journeys through campus offerings and daily routines. The article describes the workshop concept and resulting insights gleaned from interviews, customer journeys, and prototyping. It offers ideas and examples for creating inviting learning spaces and cultures that focus on co-presence both with and without digital tools.
Unsteady ventilation is being discussed to improve indoor air quality and comfort by simultaneously reducing the energy consumption. But until now, neither any standard system has been established nor are there any design parameters and clear specifications in standards. One reason for this lack of standardisation might be the ver-satile approaches for creating unsteady room airflows: sinusoidal variations, intermittent flow rates, and simu-lated natural wind or temperature variations in forced convection and the use of chaotic structures in free convection. Thus, this article gives an overview of systems available in Germany/Europe, international research and unresolved issues. It allows a clear focus for future investigations to be developed so that unsteady venti-lation concepts will be successfully utilised in practice. Experiments showed positive effects on indoor air quality (IAQ), comfort and energy consumption. However, two main questions have not been answered, yet: what are the fluid mechanical reasons for the observed effects and what are the best parameters to create unsteady room airflows?
The quality management system of FH Münster, a German university of applied sciences with 15.000 students, was established ten years ago. The main goal was to systematically foster reflection on quality issues in all faculties. In 2016, the concept was transferred to the level of institutional reaccreditation: A procedure called „cumulative accreditation“ was implemented, including e.g. a public symposium.
On both levels, the author experienced that joint reflection on quality issues may encourage academics to change habits and improve study programmes. However, sometimes desirable changes will not happen. Instead of asking for sanctions and incentives, the article suggests another approach: the creation of learning opportunities for university members.