Price Setting in Online Grocery Markets: The Case of Chocolate

Online markets are developing rapidly in many industrialized countries and have already reached a rather mature status for some product categories. This, however, is not the case in the food sector. In Germany, the online food market captured still less than 1 % of total food sales in 2014. Despite this small share of the online market, the segment is clearly increasing and major players on the offline grocery market engage themselves on the online market, too, or they plan to do so. It is intended in this paper to contribute to our knowledge on competitive strategies of multichannel suppliers and pure online traders which are active on this growing market segment. A major element of competitive strategies on the online market for foods is pricing. We concentrate on pricing strategies of multichannel firms and pure online traders on the German online market and present evidence for the product group chocolate

How German Online Retailers Price Foods: An Empirical Analysis for Chocolate Products

Despite the increasing importance of online grocery retailing, little is known about price dispersion across online providers, the relation between online and offline prices as well as the frequency of price adjustments. We employ means of descriptive and inductive statistics as well as panel econometrics to address these issues for German online food retailers. Daily online prices for twelve chocolate products charged by eight pure online and multichannel retailers and collected over three months are investigated. Information economics suggests that a maturing online market will call forth more price homogeneity online due to lower search costs by consumers as well as more flexible prices due to lower costs of price adjustments by retailers. Our results suggest, however, that neither homogenous prices nor frequent price adjustments do occur on the German online chocolate market

Data Marketplaces: Value Drivers and Pricing Approaches of Data

Although the data monetization market continues to grow with a Compound Annual Growth Rate of 19.5% between 2022 and 2027 (MarketsAndMarkets, 2022), many data marketplaces have failed and withdrawn from the market (Carnelley et al., 2016; Spiekermann, 2019). Particularly the pricing of data remains a key challenge for practitioners (Muschalle et al., 2013; Balazinska et al., 2011). Fricker and Maksimov (2017) come to the conclusion that “research on pricing for data products is still in its infancy” and cannot provide satisfactory recommendations for practioners. The objective of this paper is to contribute in closing this gap based on semi-structured expert interviews which address two research questions: (1) Which price setting mechanisms are chosen in practice? (2) Which value drivers contribute to the value of a dataset? Our results show that data marketplaces dominantly choose cost-based pricing approaches or hand over pricing responsibilities to data providers and buyers. At the same time, they prioritize value drivers outside the cost category. One explanation is that data marketplace are striving for a value-based pricing approach, but currently fail to implement it. We suggest a pragmatic pricing approach that calculates the base price based on the costs and considers performance on value drivers for margin calculation

Die pädagogische Dimension der Seestadt: Ein feministischer Rundgang zwischen Erwartung und Realität

Angeregt wurden wir durch einen Artikel “Stadtplanung ist nie geschlechtsneutral” von Lehner Katja (2021). Dabei wird betont, dass Stadtplanung und deren Umsetzung (von der Planung von Wohnräumen, die Gestaltung von Parks und bis hin zur Benennung von Straßen), für einen langen Zeitraum global auf die Anforderungen von Männern zugeschnitten wurde

Immune Monitoring Assay for Extracorporeal Photopheresis Treatment Optimization After Heart Transplantation

Background: Extracorporeal photopheresis (ECP) induces immunological changes that lead to a reduced risk of transplant rejection. The aim of the present study was to determine optimum conditions for ECP treatment by analyzing a variety of toleranceinducing immune cells to optimize the treatment. Methods: Ten ECP treatments were applied to each of 17 heart-transplant patients from month 3 to month 9 post-HTx. Blood samples were taken at baseline, three times during treatment, and four months after the last ECP treatment. The abundance of subsets of tolerance-inducing regulatory T cells (Tregs) and dendritic cells (DCs) in the samples was determined by flow cytometry. A multivariate statistical model describing the immunological status of rejection-free heart transplanted patients was used to visualize the patient-specific immunological improvement induced by ECP. Results: All BDCA+ DC subsets (BDCA1+ DCs: p < 0.01, BDCA2+ DCs: p < 0.01, BDCA3+ DCs: p < 0.01, BDCA4+ DCs: p < 0.01) as well as total Tregs (p < 0.01) and CD39+ Tregs (p < 0.01) increased during ECP treatment, while CD62L+ Tregs decreased (p < 0.01). The cell surface expression level of BDCA1 (p < 0.01) and BDCA4 (p < 0.01) on DCs as well as of CD120b (p < 0.01) on Tregs increased during the study period, while CD62L expression on Tregs decreased significantly (p = 0.04). The cell surface expression level of BDCA2 (p = 0.47) and BDCA3 (p = 0.22) on DCs as well as of CD39 (p = 0.14) and CD147 (p = 0.08) on Tregs remained constant during the study period. A cluster analysis showed that ECP treatment led to a sustained immunological improvement. Conclusions: We developed an immune monitoring assay for ECP treatment after heart transplantation by analyzing changes in tolerance-inducing immune cells. This assay allowed differentiation of patients who did and did not show immunological improvement. Based on these results, we propose classification criteria that may allow optimization of the duration of ECP treatment

SUPPORTING SYSTEMS ENGINEERING ACTIVITIES BY ARTIFACT-ORIENTED DESCRIPTION AND SELECTION OF METHODS

Systems Engineering (SE) is becoming increasingly relevant in industrial application since more stakeholders are involved in engineering activities. To implement SE, companies have to adapt existing engineering processes and methods. This adaption requires knowledge about new methods as well as their integration into the engineering activities. In order to ensure goal-oriented identification of methods for different SE activities in this contribution an action field profile and the Systems Engineering Method Matrix are proposed. The development of both tools is driven by the assumption that most SE activities and methods can be described based on the artefacts the deliver. In order to get feedback about the proposed tools, semi-structured interviews with two industry partners were conducted, focussing on the tool\u27s usability. These interviews underline the basic usability of the tools and their support to identify SE activities to be supported by (new) methods. Moreover, requirements for further development and adaption are derived from the interviews

Peer victimization : An integrative review and cross-national test of a tripartite model

School victimization issues remain largely unresolved due to over-reliance on unidimensional conceptions of victimization and data from a few developed OECD countries. Thus, support for cross-national generalizability over multiple victimization components (relational, verbal, and physical) is weak. Our substantive–methodological synergy tests the cross-national generalizability of a three-component model (594,196 fifteen-year-olds; nationally -representative samples from 77 countries) compared to competing (unidimensional and two-component) victimization models. We demonstrate the superior explanatory power of the three-component model—goodness-of-fit, component differentiation, and discriminant validity of the three components concerning gender differences, paradoxical anti-bullying attitudes (the Pro-Bully Paradox) whereby victims are more supportive of bullies than of other victims, and multiple indicators of well-being. For example, gender differences varied significantly across the three components, and all 13 well-being indicators were more strongly related to verbal and particularly relational victimization than physical victimization. Collapsing the three components into one or two components undermined discriminant validity. Cross-nationally, systematic differences emerged across the three victimization components regarding country-level means, gender differences, national development, and cultural values. These findings across countries support a tripartite model in which the three components of victimization—relational, verbal, and physical—relate differently to key outcomes. Thus, these findings advance victimization theory and have implications for policy, practice, and intervention. We also discuss directions for further research: the need for simultaneous evaluation of multiple, parallel components of victimization and bullying, theoretical definitions of bullying and victimization and their implications for measurement, conceptual bases of global victimization indices, cyberbullying, anti-bullying policies, and capitalizing on anti-bullying attitudes

Hypergravity attenuates Reactivity in Primary Murine Astrocytes

Neuronal activity is the key modulator of nearly every aspect of behavior, affecting cognition, learning, and memory as well as motion. Hence, disturbances of the transmission of synaptic signals are the main cause of many neurological disorders. Lesions to nervous tissues are associated with phenotypic changes mediated by astrocytes becoming reactive. Reactive astrocytes form the basis of astrogliosis and glial scar formation. Astrocyte reactivity is often targeted to inhibit axon dystrophy and thus promote neuronal regeneration. Here, we aim to understand the impact of gravitational loading induced by hypergravity to potentially modify key features of astrocyte reactivity. We exposed primary murine astrocytes as a model system closely resembling the in vivo reactivity phenotype on custom-built centrifuges for cultivation as well as for live-cell imaging under hypergravity conditions in a physiological range (2g and 10g). We revealed spreading rates, migration velocities, and stellation to be diminished under 2g hypergravity. In contrast, proliferation and apoptosis rates were not affected. In particular, hypergravity attenuated reactivity induction. We observed cytoskeletal remodeling of actin filaments and microtubules under hypergravity. Hence, the reorganization of these key elements of cell structure demonstrates that fundamental mechanisms on shape and mobility of astrocytes are affected due to altered gravity conditions. In future experiments, potential target molecules for pharmacological interventions that attenuate astrocytic reactivity will be investigated. The ultimate goal is to enhance neuronal regeneration for novel therapeutic approache

Hypergravity attenuates Reactivity in Primary Murine Astrocytes

Neuronal activity is the key modulator of nearly every aspect of behavior, affecting cognition, learning and memory as well as motion. Alterations or even disruptions of the transmission of synaptic signals are the main cause of many neurological disorders. Lesions to nervous tissues are associated with phenotypic changes mediated by astrocytes becoming reactive. Reactive astrocytes form the basis of astrogliosis and glial scar formation. Astrocyte reactivity is often targeted to inhibit axon dystrophy and thus promote neuronal regeneration. Here, we use increased gravitational (mechanical) loading induced by hypergravity to identify a potential method to modify key features of astrocyte reactivity. We exposed primary murine astrocytes as a model system closely resembling the reactivity phenotype in vivo on custom-built centrifuges for cultivation as well as for livecell imaging under hypergravity conditions in a physiological range (2g and 10g). This resulted in significant changes to astrocyte morphology, behavior and reactivity phenotypes, with the ultimate goal being to enhance neuronal regeneration for novel therapeutic approaches

The potential for clinical application of automatic quantification of olfactory bulb volume in MRI scans using convolutional neural networks

The olfactory bulbs (OBs) play a key role in olfactory processing; their volume is important for diagnosis, prognosis and treatment of patients with olfactory loss. Until now, measurements of OB volumes have been limited to quantification of manually segmented OBs, which is a cumbersome task and makes evaluation of OB volumes in large scale clinical studies infeasible. Hence, the aim of this study was to evaluate the potential of our previously developed automatic OB segmentation method for application in clinical practice and to relate the results to clinical outcome measures. To evaluate utilization potential of the automatic segmentation method, three data sets containing MR scans of patients with olfactory loss were included. Dataset 1 (N = 66) and 3 (N = 181) were collected at the Smell and Taste Center in Ede (NL) on a 3 T scanner; dataset 2 (N = 42) was collected at the Smell and Taste Clinic in Dresden (DE) on a 1.5 T scanner. To define the reference standard, manual annotation of the OBs was performed in Dataset 1 and 2. OBs were segmented with a method that employs two consecutive convolutional neural networks (CNNs) that the first localize the OBs in an MRI scan and subsequently segment them. In Dataset 1 and 2, the method accurately segmented the OBs, resulting in a Dice coefficient above 0.7 and average symmetrical surface distance below 0.3 mm. Volumes determined from manual and automatic segmentations showed a strong correlation (Dataset 1: r = 0.79, p < 0.001; Dataset 2: r = 0.72, p = 0.004). In addition, the method was able to recognize the absence of an OB. In Dataset 3, OB volumes computed from automatic segmentations obtained with our method were related to clinical outcome measures, i.e. duration and etiology of olfactory loss, and olfactory ability. We found that OB volume was significantly related to age of the patient, duration and etiology of olfactory loss, and olfactory ability (F(5, 172) = 11.348, p < 0.001, R 2 = 0.248). In conclusion, the results demonstrate that automatic segmentation of the OBs and subsequent computation of their volumes in MRI scans can be performed accurately and can be applied in clinical and research population studies. Automatic evaluation may lead to more insight in the role of OB volume in diagnosis, prognosis and treatment of olfactory loss