Online RPM and MFN Under Antitrust Law and Economics

The legal framing of a firm’s pricing strategy can determine whether it constitutes online resale price maintenance (RPM) or online most favored nation (MFN). Together, cases that involve online RPM and MFN can be viewed as a natural experiment of how antitrust economics and law may adapt to an online world. Thus far, legal theories that have been inconsistent with economic theories have dictated enforcement across jurisdictions, which has led to confusion that thwarts potentially efficient business practices. This paper distinguishes issues of online RPM from traditional RPM and online RPM from online MFN. We apply the economics learning to RPM and analyze the antitrust cases of online RPM and MFN to date in the United States, Europe, and Australia. Finally, we offer policy recommendations that reduce the confusion in current legal doctrine.     

How do different background variables predict learning outcomes?

This article is a part of a research project aimed to find out how different background variables are related to learning outcomes in school subject Sloyd as found in the national evaluation of the Finnish National Board of Education. Results from this larger research project were previously published in this journal, where pupils’ readiness for Self-Regulated Learning were reported. Since then, pupils’ experiences of classroom techniques, attitudes towards the subject, leisure time interests and learning within the two domains of the subject (Technical Domain and Textile Domain, as the subject is usually divided in Finland) have been studied and results have been published in different journals. In this article, a new Structural Equation Model concludes the previous results. The new model highlights two paths of how the use of different learning orientations can predict successful learning outcomes. These paths can be followed using two pedagogical models: the Exploratory Production Approach and the Domain Specific Approach. Experiencing Learner-Centred Learning predicts positive attitudes and success in Exploratory Production activities. Experiencing Collaborative Learning predicts success in domain specific learning outcomes. Success in Exploratory Production predicts successful learning outcomes in both domains. The conclusion is that regulatory knowledge, “why”, is related to production activities and it is processed prior to domain specific knowledge, “what” and “how”. To develop the subject and pedagogy for schools and teacher training, it is not important to follow an approach defined by the domains (technical or textile). It is more important to teach pupils how to manage in the modern technological world and to understand why they need to be able to improve their life-world through Exploratory Production activities.     

A Representative Committee by Approval Balloting

A new voting rule for electing committees is described. Specifically, we use approval balloting and propose a new voting procedure that guarantees that if there is a committee that represents (with a given proportion of representatives) all of the existing voters, then the selected committee has to represent all of voters in at least the same proportion. This property is a way of selecting a committee that represents completely all of voters when such a committee exists. The usual voting rules in this context do not satisfy this condition.     

Developing a quality prioritization procedure for IPTV service

This study developed a procedure to determine the quality priorities of the internet protocol television (IPTV) service. First, a set of key elements of IPTV service quality was developed based on a literature review and a focus group interview. Second, analytic hierarchy process and the Kano model were applied to identify the requirements of experts and customers, respectively. The experts measured the importance and difficulty of management, whereas the customers measured the satisfaction level and importance of each quality element. Third, quality priorities were calculated through the entropy principle and scenario-based analysis. The proposed procedure is illustrated with a case study of a telecommunications company in Korea.     

Expertenwissen im politischen Prozess — Nutzen,Grenzen und Gefahren

Since the outbreak of the financial and economic crisis, confidence in politicians as well as the economists in their advisory expert panels seems to be at an all-time low. Why do politicians reject science-based advice unless it fits into their political agenda? Are economists misunderstood by politicians and vice versa? The tension between the ideal of evidence-based policy-making and the reality of policy-based evidence-making is hardly a new phenomenon. Therefore, the expectation that Donald Trump, the Brexiteers and European populists will necessarily disappoint their voters because they simply cannot deliver what they have promised is misleading. Experts would be well advised to use the debate on the post-factual era as an impetus to reflect critically on their profession. One opinion expressed in this Zeitgespräch is that the contested societal and political impact of modern economics is due to its restricted scientific self-concept. A more open, pluralistic and transdisciplinary self-definition of economics would strengthen its societal influence. Another contributor ponders the proper incentives to persuade academic economists to provide economic policy advice. Key is the independence of advisory institutions like the German Council of Economic Experts. The selection of people with the best scientific qualifications will ensure the reputation of such institutions.     

Leadership: The Being Component. Can the Spiritual Exercises of Saint Ignatius Contribute to the Debate on Business Education?

In recent years, scholars have increasingly dedicated their attention to analyse and reflect on the topic of leadership. However, the debate has often focused on the figure of the leader, as if being a leader were a self-sufficient function in itself, understood without finalities or independent of them. I would argue that leadership is not a position that can be assumed, but, rather, a relationship that is constructed. Similarly, the question of leaders has often given rise to a deconstruction of its components, without any insight as to how the reality is put together. Leadership cannot be understood solely from a technical or instrumental perspective. It is not a mere relational skill that simply requires developing competencies. The exercise of leadership always includes—explicitly or implicitly—a connection with values. Therefore, developing leadership is impossible without a personal process that develops the person’s capacity for perception, learning, interiorisation, explicit sense-making and constructing meaning. These issues are truly important at a time in which the debate on business education and its contribution is completely open, targeting the very core of business education’s reason for being. Though open, the debate can only become a truly dynamic discussion if there is a real dialogue between the different positions and traditions. For this reason, this paper proposes an anthropological and non-denominational reading of some of the fundamental meditations found in the Spiritual Exercises of Saint Ignatius which could be used as a heuristic in the debate regarding what business schools propose. This paper represents an initial step in this direction, exploring some of the potentialities of the Spiritual Exercises for business schools that do not claim any religious tradition.     

Understanding repeat playing behavior in casual games using a Bayesian data augmentation approach

With an estimated market size of nearly $18 billion in 2016, casual games (games played over social networks or mobile devices) have become increasingly popular. Because most casual games are free to install, understanding repeat playing behavior is important for game developers as it directly drives advertising revenue. Game developers are keenly interested in benchmarking their game versus the market average, and understanding how genre and various game mechanics drive repeat playing behavior. Such cross-sectional analysis, however, is difficult to conduct because individual-level data on competitors’ games are not publicly available, and that the casual gaming industry is highly fragmented with each firm making only a handful of games.I develop a Bayesian approach, based on a parsimonious Hidden Markov Model at the individual level in conjunction with data augmentation, to study repeat playing behavior using only publicly available data. After applying the proposed approach to a sample of 379 casual games, I find that the average daily attrition rate across game is around 36.5%, with an average “play” rate of 47.9%, resulting in an average ARPU (average revenue per user) across games of around 20.5 cents. Certain genres are linked to higher attrition rates and play rates. In addition, giving out a “daily bonus” or limiting the amount of time that gamers can play each day are associated with a 17.7% and 16.4% higher ARPU, respectively.     

Financial market globalization,nonconvergence and credit cycles

This paper explores the dynamic consequences of variable investment-project size in a global economy consisting of many small open countries that are plagued with domestic credit market frictions. As is customary in the literature, borrowers provide some internal funds, but they also need external funds to implement their investment projects, which are subject to the costly-state-verification problem. Contrary to the literature, the investment-project size increases with the country’s own capital stock. We find that financial market globalization may lead to a process of oscillatory convergence, even in the absence of any exogenous shocks, if the investment-project size is very sensitive to the change in capital stock.