Junior Management Science, Volume 5, Issue 1, March 2020
Junior Management Science, Volume 2, Issue 3, December 2017

- Yasmin Le, The State of the Art in Cryptocurrencies, 1-10
- Fabian Müller, Einfluss von Commitment und Affekten auf das Investitionsverhalten in Projekten, 11-47
- Marcus Pfeiffer, Biases bei betriebswirtschaftlichen Entscheidungen in Großprojekten und
Lösungsansätze: Aktueller Stand der Theorie und Empirie, 48-72 - Simon Hux, Ankereffekt und Risikoprämie anhand einer Crowdfunding-Kampagne, 73-103
- Anastasia Kieliszek, Corporate Divestment Decision Factors: A Systematic Review, 104-123
- Kevin Rudolph, Analyzing Dynamic Capabilities in the Context of Cloud Platform Ecosystems – A Case Study Approach, 124-172
The State of the Art in Cryptocurrencies
Yasmin Le, Universität Mannheim (Bachelorarbeit)
Junior Management Science 2(3), 2017, 1-10
Based on the evaluation of the different cryptocurrencies and preceding conclusions, specific cryptocurrencies will be applied to the Tasklet system before proposing the implementation of the blockchain technology in such a system, in order to establish a reward system.
The paper reviews a heterogeneous, scattered body of knowledge including academic literature, but also non-scientific sources due to the constantly evolving technology. On this basis, the advantages of Bitcoin, but also its weaknesses, as well as the vast potential of blockchain are discussed. Results indicate that although Bitcoin’s framework may be limited, it will still play an important role in the future due to its dominance in the cryptocurrency market. The short display of blockchain-fueled applications and its effects has shown its potential to transform the internet, leading to the rise of the Web 3.0.
Keywords: Bitcoin, Blockchain, Cryptocurrency, Distributed Ledger Technology, Smart Contract
Einfluss von Commitment und Affekten auf das Investitionsverhalten in Projekten
Fabian Müller, Universität Stuttgart (Masterarbeit)
Junior Management Science 2(3), 2017, 11-47
In dieser Studie wird mithilfe eines Online-Experiments mit 186 Teilnehmern untersucht, welchen Einfluss negative Affekte, unter Berücksichtigung des Commitments zur Projektdurchführung, auf das Investitionsverhalten haben. Die Ergebnisse zeigen, dass Individuen in einem laufenden Projekt, unter dem Einfluss von negativen Affekten, signifikant niedrigere Investitionen zur Projektfinanzierung bereitstellen als solche, die nicht unter dem Einfluss von negativen Affekten stehen. Dieser Effekt verstärkt sich, wenn Individuen die Projektinitiierung nicht zu verantworten haben. Die Ergebnisse erweitern die Eskalationsforschung dahingehend, als dass unter negativen Affekten ein gegenläufiges Investitionsverhalten gezeigt werden kann. Für Projekte, die sich verzögern und in welchen negative Affekte wirken, bedeutet dies, dass ein reduziertes Investitionsverhalten zu erwarten ist. Daher ist es von hoher Bedeutung interpersonellen Konflikten entgegenzuwirken, sodass notwendige Investitionen nicht vernachlässigt werden und die Projektrealisierung zielgerichtet fortgeführt wird.
Keywords: Escalation of Commitment, Affekt, Emotion, Investitionsverhalten
Biases bei betriebswirtschaftlichen Entscheidungen in Großprojekten und Lösungsansätze: Aktueller Stand der Theorie und Empirie
Marcus Pfeiffer, Heinrich-Heine-Universität Düsseldorf (Masterarbeit)
Junior Management Science 2(3), 2017, 48-72
Keywords: mega project, project management, bias, debiasing, Projektmanagement im Großprojekt
Ankereffekt und Risikoprämie anhand einer Crowdfunding-Kampagne
Simon Hux, Universität Zürich (Bachelorarbeit)
Junior Management Science 2(3), 2017, 73-103
Keywords: Ankereffekt, Crowdfunding, reward-based Crowdfunding, Risikoprämie
Corporate Divestment Decision Factors: A Systematic Review
Anastasia Kieliszek, Ludwig-Maximilians-Universität München (Bachelorarbeit)
Junior Management Science 2(3), 2017, 104-123
Secondly, what are the psychological factors within decision-makers that influence divestment? I show from previous research that decision-makers’ familiarity with the entity’s business segment may distort a decision-maker’s entity assessment, thus biasing divestment decisions; escalation of commitment may lead to retaining failing projects despite being aware of their poor performance; and the managerial incentive to conceal investment mistakes may at least postpone divestment as a result of self-interests.
Thirdly, what factors in the organizational context influence divestment? I find from previous research that negative firm performance and path dependence of preceding divestments increase general propensity to divest, whereas units that are perceived to be essential to organizational image and identity are more reluctantly exited.
Fourthly, which external stakeholders are important influencing factors in divestment? I indicate from previous research that the media, political entities, and blockholders may pressure decision-makers significantly and sway divestment decisions.
Keywords: Corporate Divestment, Decision Factors, Psychological Factors, Organizational Factors, External Factors
Analyzing Dynamic Capabilities in the Context of Cloud Platform Ecosystems – A Case Study Approach
Kevin Rudolph, Technische Universität Berlin (Masterarbeit)
Junior Management Science 2(3), 2017, 124-172
Amazon Web Services (AWS), the leader in the cloud platform industry, is a promising cloud platform provider (CPP) to show a high degree of dynamic capability fulfillment within its highly fluctuating ecosystem. To date, the full scope of dynamic capabilities in cloud platform ecosystems (CPEs) has not been fully understood. Previous work has failed to deliver a combined perspective of explicit dynamic capabilities in cloud platform ecosystems applied on an in-depth practical case.
With our mixed-method case study on the AWS ecosystem we deliver a thorough understanding of its sensing, seizing and transforming capabilities. We generate a set of strategy management frameworks that support our expectations, lead to unexpected insights and answer the questions of what, how, why and with whom AWS uses DCs. In detail, we provide an understanding about DC chronological change, DC network patterns and DC logical explanations. Our research is based on a self-compiled case study database containing 16k+ secondary data pages from interviews, blogs, announcements, case studies, job vacancies, etc. that we analyze qualitatively and quantitatively. We find out that AWS develops and holds a large set of interacting dynamic capabilities incorporating a variety of ecosystem actors in order to sustain tremendous customer value and satisfaction.
The thesis infers significant theoretical and practical implications for all CPE actors, like partners, customers, investors and researchers in the field of IT strategy management. Managers of all CPE actors are encouraged to critically evaluate their own maturity level and complement a CPP’s DC explications in order to boost business by implementing sensing, seizing, transforming and innovating capabilities.
Keywords: Dynamic Capabilities, Cloud Platform Ecosystems, Innovation Capabilities, Mixed-Methods Case Study, Amazon Web Services