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Successful digital business strategies rely less on strategic analysis and big bets than on experiments and learning. Consider, for example, that Airbnb grew out of the belief that people would pay to sleep on air mattress on a stranger's floor. Similarly, Instagram started as an app for checking in and hanging out with friends (and sharing pictures) that proved complicated to use. Twitter's founders had first tried a podcasting platform, Odeo, which Apple made obsolete with iTunes. AUDI AG had to kill of its "share a car with five friends" app before rolling out more successful mobility services in a number of countries. The digital successes did not grow out of a comprehensive upfront analysis. Digital strategy emerges from an idea - often, not a particularly good idea.
Der Markt für technische Textilien ... wird auch in Zukunft stetig wachsen. Vor dem Hintergrund steigender Rohstoffpreise, zunehmender Rohstoffknappheit, aber auch durch wachsendes Umweltbewusstsein und neue technische Regelungen, drängen auch bei technischen Textilien Themen wie Ressourceneffizienz, Kreislaufwirtschaft und Recycling immer weiter in den Vordergrund. Was im Bekleidungsbereich bereits Usus ist, wird sich früher oder später auch in den Bereich der technischen Texilien übertragen. Zudem ist eine signifikante Erhöhung der Recyclingquote erkärtes Ziel der Bundesregierung.
Längst ist das World Wide Web mit unzähligen Online-Shops aus dem In- und Ausland überflutet. Es wird immer wichtiger für Online-Shop-Betreiber, aus dieser Masse herauszustechen. Die Produktbeschreibung ist dabei oft Indikator für die Qualität eines Shops. Die Entwicklung von Software zur automatischen Content-Generierung ist hierbei eine kostensparende Möglichkeit, Texte zu erstellen, die sich in Sekunden massenhaft variieren lassen. Kreiert die robotergesteuerte Texterstellung jedoch auch eine Zukunft, die ganze Arbeitszweige obsolet werden lässt?
Avec le déploiement des compteurs intelligents en Europe, les fournisseurs d'énergie européens auront accès aux données clients de manière inédite.De récentes études suggèrent que le volume de données récupérées se situera entre 10 et 800 téraoctets par fournisseur par an ... L'objectif principal est d'améliorer la satisfaction du client et d'éviter un changement de fournisseur.
In recent years the share economy has gained widespread success across different industries. Since small firms and new ventures obtain fewer resources, an increased focus on service allows them to differentiate and compete with cost pressure in traditionally manufacturing based industries. There still is a lack of understanding how these firms manage to successfully shift towards service-oriented business models. This paper adopts a dynamic capabilities approach to examine the particular microfoundations that underlie sensing, seizing and reconfiguring dynamic capabilities of early-stage service firms within a traditional retail market. The context of this study is the fashion industry. It is an ideal setting since it is characterized by severe competition, short life cycles, strong cost pressure and high volatility. There are few but increasing examples of entrepreneurial initiatives that try to compete by providing offers to resell, rent or swap clothes. Qualitative data of five early stage fashion ventures is analyzed. Findings reveal that the ability to develop and maintain long-term relationships is essential. It has also been found crucial to acquire knowledge from external network partners, delegate tasks and share information. Furthermore, skills for interacting with customers and adopting consumer feedback are critical. This study provides empirical evidence of dynamic capabilities of early-stage firms and contributes to knowledge on the factors that facilitate servitization in traditionally manufacturing based industries. For practitioners, the presented microfoundations provide a framework of critical tasks that allow them to develop and maintain a service oriented business model.
After considering significant literature on sustainable supply chain management (SSCM), it is evident that research has neglected the social dimension and still lacks in highlighting the role of sourcing intermediaries in supply chains. The apparel supply chain has increased enormously in length and complexity, driving apparel retailers to employ sourcing intermediaries who manage their sourcing activities with suppliers from developing countries overseas. Thus, the purpose of this study is to enrich existing findings on SSCM by exploring the management of social sustainability when sourcing intermediaries are in between the focal company and the respective developing country factories. More specifically, this study aims to understand the role of apparel sourcing intermediaries for the implementation of social management strategies based on the perception of multiple supply chain actors. Qualitative data was collected through semi-structured interviews conducted in Vietnam and Europe. Ultimately ten propositions are presented, all explicitly concentrating on the apparel intermediary’s role as a significant enabler for social sustainability in apparel supply chains. The roles are social sustainability, supplier developer and coordinator, gatekeeper and safeguard, cultural broker, and social risk manager. The social sustainability roles assumed by the apparel sourcing intermediary offer great opportunities to both apparel retailers and developing country factories.
Motor-based theories of facial expression recognition propose that the visual perception of facial expression is aided by sensorimotor processes that are also used for the production of the same expression. Accordingly, sensorimotor and visual processes should provide congruent emotional information about a facial expression. Here, we report evidence that challenges this view. Specifically, the repeated execution of facial expressions has the opposite effect on the recognition of a subsequent facial expression than the repeated viewing of facial expressions. Moreover, the findings of the motor condition, but not of the visual condition, were correlated with a nonsensory condition in which participants imagined an emotional situation. These results can be well accounted for by the idea that facial expression recognition is not always mediated by motor processes but can also be recognized on visual information alone.
For autonomously driving cars and intelligent vehicles it is crucial to understand the scene context including objects in the surrounding. A fundamental technique accomplishing this is scene labeling. That is, assigning a semantic class to each pixel in a scene image. This task is commonly tackled quite well by fully convolutional neural networks (FCN). Crucial factors are a small model size and a low execution time. This work presents the first method that exploits depth cues together with confidence estimates in a CNN. To this end, novel experimentally grounded network architecture is proposed to perform robust scene labeling that does not require costly preprocessing like CRFs or LSTMs as commonly used in related work. The effectiveness of this approach is demonstrated in an extensive evaluation on a challenging real-world dataset. The new architecture is highly optimized for high accuracy and low execution time.
This paper looks at the case of Reutlingen University (Hochschule Reutlingen), a university with a reputation for international student mobility. It examines how the university strives to fulfil its mandate to prepare ‘industry-ready’ graduates for the global industry by providing an international practice-oriented education. The key focus is on its efforts to establish credit-bearing internship programmes for international students, an area where the institution has ramped up its activities in recent years. Internships for international students is understood to encompass both domestic internships for international students (exchange and degree-seeking students) as well as internships abroad for home-grown degree-seeking students. The paper presents models and approaches that seek to ensure the quality of the international internship experience. It discusses challenges that the university has encountered on the way and makes suggestions about how to create internship opportunities against the backdrop of competing demands and expectations.
