Christian Rupietta, Johannes Meuer, Uschi Backes-Gellner, Does Vocational Education and Training (VET) Influence the Innovation Process of Domestic and Foreign Firms in the Same Way? , In: SASE Annual Conference. 2018. (Conference Presentation)
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Peter Höschler, Uschi Backes-Gellner, Non-Cognitive Skills in Apprenticeship Training and Employment Options, In: SASE Annual Conference. 2018. (Conference Presentation)
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Damiano Pregaldini, Uschi Backes-Gellner, Gerald Eisenkopf, Gender Differences in the Foundations for Innovation: How Gender Composition in the Classroom Affects Students’ Achievement in STEM Fields?, In: SASE Annual Conference. 2018. (Conference Presentation)
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Tobias Schultheiss, Curdin Pfister, Uschi Backes-Gellner, How Are Task Profiles of Workers with Apprenticeship Affected by the Introduction of Universities of Applied Sciences, In: SASE. 2018. (Conference Presentation)
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 Lukas Zdrzalek, Thorsten Hens, Das war der Capital-Vermögensaufbaugipfel, In: Capital Wirtschaft ist Gesellschaft, 22 June 2018. (Media Coverage)
Die rund 160 Teilnehmer des Vermögensaufbaugipfels informierten sich in 14 Vorträgen und Diskussionen mit Experten über die Chancen und Herausforderungen der Kapital- und Immobilienmärkte. |
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Felix Kübler, Simon Scheidegger, Computation of self-justified equilibria, In: Computing in Economics and Finance . 2018. (Conference Presentation)
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Dina Pomeranz, Raising money for the state: challenges of taxation in developing countries, World Bank, https://live.worldbank.org/dec-lecture-series, 2018-06-16. (Scientific Publication In Electronic Form)
No state can exist in the long term without effective taxation. To be able to execute its various roles, the state needs to acquire the capacity to enforce compliance with tax obligations. In developing countries, this task is far from obvious. Taxation is particularly challenging in less formalized economies, since it is difficult for the government to gain information about what taxable transactions actually occurred. One important source of information that governments rely on are paper trails by third parties, which document such transactions. This talk presents evidence from Chile and Ecuador on the power and limitations of such paper trails. It also discusses the challenges that can emerge as countries introduce the use of third-party reported information for tax enforcement. The evidence suggests that despite the (helpful) growth of computer-based monitoring using cross-checks of third-party information, strengthening the traditional enforcement capacity of developing country governments still remains crucial for effective tax collection. |
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Roland Scholz, Eric Bartelsman, Sarah Diefenbach, Lude Franke, Arnim Grunwald, Dirk Helbing, Richard Hill, Lorenz Hilty, Mattias Höjer, Stefan Klauser, Christian Montag, Peter Parycek, Jan Prote, Ortwin Renn, André Reichel, Günther Schuh, Gerald Steiner, Gabriela Viale Pereira, Unintended side effects of the digital transition: European scientists’ messages from a proposition-based expert round table, Sustainability, Vol. 10 (6), 2018. (Journal Article)
We present the main messages of a European Expert Round Table (ERT) on the unintended side effects (unseens ) of the digital transition. Seventeen experts provided 42 propositions from ten different perspectives as input for the ERT. A full-day ERT deliberated communalities and relationships among these unseens and provided suggestions on (i) what the major unseens are; (ii) how rebound effects of digital transitioning may become the subject of overarching research; and (iii) what unseens should become subjects of transdisciplinary theory and practice processes for developing socially robust orientations. With respect to the latter, the experts suggested that the “ownership, economic value, use and access of data” and, related to this, algorithmic decision-making call for transdisciplinary processes that may provide guidelines for key stakeholder groups on how the responsible use of digital data can be developed. A cluster-based content analysis of the propositions, the discussion and inputs of the ERT, and a theoretical analysis of major changes to levels of human systems and the human–environment relationship resulted in the following greater picture: The digital transition calls for redefining economy, labor, democracy, and humanity. Artificial Intelligence (AI)-based machines may take over major domains of human labor, reorganize supply chains, induce platform economics, and reshape the participation of economic actors in the value chain. (Digital) Knowledge and data supplement capital, labor, and natural resources as major economic variables. Digital data and technologies lead to a post-fuel industry (post-) capitalism. Traditional democratic processes can be (intentionally or unintentionally) altered by digital technologies. The unseens in this field call for special attention, research and management. Related to the conditions of ontogenetic and phylogenetic development (humanity), the ubiquitous, global, increasingly AI-shaped interlinkage of almost every human personal, social, and economic activity and the exposure to indirect, digital, artificial, fragmented, electronically mediated data affect behavioral, cognitive, psycho-neuro-endocrinological processes on the level of the individual and thus social relations (of groups and families) and culture, and thereby, the essential quality and character of the human being (i.e., humanity). The findings suggest a need for a new field of research, i.e., focusing on sustainable digital societies and environments, in which the identification, analysis, and management of vulnerabilities and unseens emerging in the sociotechnical digital transition play an important role. |
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Shen Gao, Daniele Dell' Aglio, Jeff Z. Pan, Abraham Bernstein, Distributed Stream Consistency Checking, In: Web Engineering - 18th International Conference, ICWE 2018, Cáceres, Spain, June 5-8, 2018, Proceedings, Springer, Cham, 2018-06-05. (Conference or Workshop Paper published in Proceedings)
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Alessandro Margara, Gianpaolo Cugola, Dario Collavini, Daniele Dell' Aglio, Efficient Temporal Reasoning on Streams of Events with DOTR, In: The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings, Springer, Cham, 2018-06-03. (Conference or Workshop Paper published in Proceedings)
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Michael Feldman, Cristian Anastasiu, Abraham Bernstein, Towards Collaborative Data Analysis with Diverse Crowds – a Design Science Approach, In: 13th International Conference on Design Science Research in Information Systems and Technology, Heidelberg, DE, 2018. (Conference or Workshop Paper published in Proceedings)
The last years have witnessed an increasing shortage of data experts capable of analyzing the omnipresent data and producing meaningful insights. Furthermore, some data scientists mention data preprocessing to take up to 80% of the whole project time. This paper proposes a method for collaborative data analysis that involves a crowd without data analysis expertise. Orchestrated by an expert, the team of novices conducts data analysis through iterative refinement of results up to its successful completion. To evaluate the proposed method, we implemented a tool that supports collaborative data analysis for teams with mixed level of expertise. Our evaluation demonstrates that with proper guidance data analysis tasks, especially preprocessing, can be distributed and successfully accomplished by non-experts. Using the design science approach, iterative development also revealed some important features for the collaboration tool, such as support for dynamic development, code deliberation, and project journal. As such we pave the way for building tools that can leverage the crowd to address the shortage of data analysts. |
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Anja Gähwiler, Wirkungspotenzial von Ernährungsapps, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
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Larissa Wyss, Der regulatorische Fokus und seine Verhaltensimplikationen, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
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Adrian Novakovic, Customer Centricity – Auswirkungen auf die Kundenbindung und das Kundenverhalten, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
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Philipp Siebenmann, Der Priming-Effekt – Auswirkungen auf das Kaufverhalten von Konsumenten, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
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Tanja Rüegg, Influencer Marketing im Rahmen von Social Media – Auswirkungen auf Marken, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
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Lukas Esslinger, Potenzial von Crowdfunding für Schweizer Sportler: Untersuchung anhand einer Umfrage , University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
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Dimitri Amstein, Eine empirische Analyse wie die US-Präsidentschaftswahlen 2016 die Performance und Teilnahme von Minderheiten im Profisport beeinflusst haben., University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
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Valentin Weiss, Development of a Dynamic Web Application: The Swiss Feed Database, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Bachelor Thesis)
This thesis explores data summarization techniques for the feed data of the Swiss Feed Database. It proposes and evaluates solutions to reduce the client-side load by reducing the amount of tuples passed to the client. Most of the work is shifted away from the client to the database layer following
the thin-client paradigm with the aim of creating a stable and scalable solution. The summarization techniques were optimized to best suit the data visualization at hand. This includes techniques such as providing only a partial view of the data, aggregating the data set or leveraging properties of the spatial distribution of data points to abstract groups of data points into geometric shapes. |
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Luis André Pinheiro Oliveira, Car Coins: The Case for Implementing Tokens in the Blockchain-based Car Dossier Application, University of Zurich, Faculty of Business, Economics and Informatics, 2018. (Master Thesis)
Recent progress in blockchain technology has brought about new developments with substantial implications to digital innovation. One of those has been the advent of cryptographic tokens. However, despite the growing number of Token Generation Events or Initial Coin Offerings ñ which tend to leverage tokens to secure platform scaling and funding ñ, comprehensive and scientifically-based contributions dissecting token complexity are still lacking. In the first part of our thesis we analyse existing literature as well as freshly gathered empirical data, and look at the different manifestations which tokens can exhibit in present-dayís blockchain application landscape. Based on our findings we are able to propose two analytical tools ñ a morphological box and a decision-tree ñ which assist in, respectively, understanding token attributes complexity and deciding on token applicability. This output is then put to the test in the second module of the thesis, where we apply our analytical tools to Car Dossier, an existing blockchain application in which a decision to implement tokens is currently pending. The findings validate our theoretical contribution and support the proposal of a proof-of-concept composed of a smart contract and a new target architecture encompassing a token implementation based on stakeholdersí feedback. |
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