Open Business Models and Closed-Loop Value Chains: Redefining the Firm-Consumer Relationship

Driven by recent socio-economic developments, manufacturing firms increasingly adapt their business models along two dimensions. Apart from vertically integrating the entire product life cycle, traditionally separated tasks are re-allocated into new forms of horizontal stakeholder collaborations. Incorporating these two dimensions, this article develops a framework of nine business model archetypes that holistically capture the increasing openness of business models towards consumers in the emerging closed-loop value chain. Using illustrative examples, it demonstrates their broad applicability in different industries and derives important managerial implications for firm-consumer relationships, the relevance of consumer communities, new product development activities, and the sustainability of business models

Improving trace synthesis by utilizing computer vision for user action emulation

Forensic analyses are performed by skilled forensic practitioners who require reliable, state-of-the-art tooling and ongoing training. To provide both, education and academia rely on realistic training datasets. Those datasets are crucial to teaching investigators, validating forensic tools, advancing algorithms, and pursuing research. At the same time, the forensic community faces a shortcoming of realistic datasets, mainly due to ethical and legal reasons. To overcome this challenge, prior work introduced several frameworks aiming to create unproblematic replications of real evidence. Those frameworks generate synthetic datasets by populating disk images with traces of emulated user behavior. However, it is general consent that existing frameworks have some drawbacks concerning the quality of generated datasets, particularly due to the incorporation of unrealistic traces in GUI-based environments. Reviewing the implementation details of common frameworks, we found that current solutions miss realistic trace synthesis, reducing the quality and usefulness of synthesized datasets.By leveraging computer vision, this paper introduces a novel approach aiming to enhance the quality of synthetic datasets. We propose an architecture and provide an open-source implementation utilizing a hypervisor for creating Human Interface Device (HID) input, which is controlled by computer vision algorithms to imitate human-like user actions. In this way, we provide external GUI automation capabilities that enable more realistic trace synthesis than existing solutions and open up the applicability to a wide range of GUI-based operating systems. In contrast to previous research results, our approach is independent of software running in virtual machines, further optimizing the quality of generated datasets by omitting automation artifacts. Our experiments indicate that using external GUI automation for user action emulation results in a greater amount and a more widespread distribution of traces. Therefore our approach may refine the quality of datasets in this field

Growing with smart products:Why customization capabilities matter for manufacturing firms

Manufacturing firms that engage in digital transformation develop increasingly smarter versions of their tangible products to reinvigorate growth in shrinking markets. However, they often struggle with translating their investments in digitalization capabilities into actual returns in the form of sales growth. The associated technological advantages often remain unexploited, and digital product innovations frequently fail. Building on the resource-based view of the firm and the demand-side perspective, we theorize that there is a need for complementary capabilities that integrate heterogeneous customer demands, thus, allowing firms to capture more value from smart products. We empirically investigate the mediating role of smart customization capability on the relationship between digitalization capabilities and sales growth. Moreover, we argue that this relationship is further strengthened by integrating information and data across sales and service channels (i.e., channel integration). We test and find support for our hypotheses based on a dataset comprising survey and archival data of 136 smart product manufacturers in Austria, Germany, Switzerland, and the United States. In doing so, we enhance the theoretical understanding of resource and capability configurations needed for digital transformation in general and smart product success in particular. We further update the traditional concept of mass customization by showing how customization with smart products helps manufacturing firms provide personalized solutions at scale

Holistic corpus-based dialectology

This paper is concerned with sketching future directions for corpus-based dialectology. We advocate a holistic approach to the study of geographically conditioned linguistic variability, and we present a suitable methodology, 'corpusbased dialectometry', in exactly this spirit. Specifically, we argue that in order to live up to the potential of the corpus-based method, practitioners need to (i) abandon their exclusive focus on individual linguistic features in favor of the study of feature aggregates, (ii) draw on computationally advanced multivariate analysis techniques (such as multidimensional scaling, cluster analysis, and principal component analysis), and (iii) aid interpretation of empirical results by marshalling state-of-the-art data visualization techniques. To exemplify this line of analysis, we present a case study which explores joint frequency variability of 57 morphosyntax features in 34 dialects all over Great Britain

c-MYC expression sensitizes medulloblastoma cells to radio- and chemotherapy and has no impact on response in medulloblastoma patients

BACKGROUND: To study whether and how c-MYC expression determines response to radio- and chemotherapy in childhood medulloblastoma (MB). METHODS: We used DAOY and UW228 human MB cells engineered to stably express different levels of c-MYC, and tested whether c-MYC expression has an effect on radio- and chemosensitivity using the colorimetric 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium inner salt (MTS) assay, clonogenic survival, apoptosis assays, cell cycle analysis, and western blot assessment. In an effort to validate our results, we analyzed c-MYC mRNA expression in formalin-fixed paraffin-embedded tumor samples from well-documented patients with postoperative residual tumor and compared c-MYC mRNA expression with response to radio- and chemotherapy as examined by neuroradiological imaging. RESULTS: In DAOY - and to a lesser extent in UW228 - cells expressing high levels of c-MYC, the cytotoxicity of cisplatin, and etoposide was significantly higher when compared with DAOY/UW228 cells expressing low levels of c-MYC. Irradiation- and chemotherapy-induced apoptotic cell death was enhanced in DAOY cells expressing high levels of c-MYC. The response of 62 of 66 residual tumors was evaluable and response to postoperative radio- (14 responders (CR, PR) vs. 5 non-responders (SD, PD)) or chemotherapy (23 CR/PR vs. 20 SD/PD) was assessed. c-MYC mRNA expression was similar in primary MB samples of responders and non-responders (Mann-Whitney U test, p = 0.50, ratio 0.49, 95% CI 0.008-30.0 and p = 0.67, ratio 1.8, 95% CI 0.14-23.5, respectively). CONCLUSIONS: c-MYC sensitizes MB cells to some anti-cancer treatments in vitro. As we failed to show evidence for such an effect on postoperative residual tumors when analyzed by imaging, additional investigations in xenografts and larger MB cohorts may help to define the exact function of c-MYC in modulating response to treatment

The epidemiology of postpartum malaria: a systematic review

Pregnant women are more susceptible to malaria than their non-pregnant counterparts. Less is known about the risk of malaria in the postpartum period. The epidemiology of postpartum malaria was systematically reviewed. Eleven articles fitted the inclusion criteria. Of the 10 studies that compared malaria data from the postpartum period with pregnancy data, nine studies suggested that the risk for malaria infection decreased after delivery. All three studies that compared postpartum data with non-pregnant non-postpartum women concluded that the risk did not return to pre-pregnancy levels immediately after delivery. The results of this review have to be carefully interpreted, as the majority of studies were not designed to study postpartum malaria, and there was large variability in study designs and reported outcomes. Current evidence suggests an effort should be made to detect and radically cure malaria during pregnancy so that women do not enter the postpartum period with residual parasites