Contributions in Merlin

We demonstrate that investor satisfaction and investment behavior are influenced substantially by the price path by which the final investor return is achieved. In a series of experiments, we analyze various different price paths. Investors are most satisfied if their assets first fall in value and then recover, and they are least satisfied with the opposite pattern, independent of whether the final return is positive or negative. Price paths systematically influence risk preferences, return beliefs, and ultimately trading decisions. Our results enable a much more holistic perspective on a wide range of topics in finance, such as the disposition effect, risk-taking behavior after previous gains and losses, and behavioral asset pricing.

null

null

null

Despite the advent of a flurry of digital technologies, paper prevails on manufacturing shopfloors. To understand the roles and value of paper on the shopfloor, we have studied the manufacturing practices at two state-of-the-art automotive supplier facilities, applying ethnographic fieldwork, in-depth interviews, as well as photo and document analysis. We find that paper has unique affordances that today’s digital technologies cannot easily supplant on current shopfloors. More specifically, we find four paper practices: (1) creating and adapting individual information spaces, (2) reinterpreting information, (3) combining information handover with social interaction, and (4) visual cuing. We discuss these practices and the unique affordances of paper that currently support shopfloor workers and also consider the limitations of paper, which are becoming increasingly apparent, since more tasks increasingly depend on real-time information.

The blockchain, the ledger that underlies the famous cryptocurrency Bitcoin, has huge implications for many industries. There have been various papers dedicated to research how blockchain technology will transform businesses and industries. However, current research lacks an overview of what the blockchain implies for the biggest stakeholder of these businesses and industries: consumers. This paper aims to provide an overview of how the blockchain affects consumers. We conduct a systematic literature review and enrich it with interview-based knowledge from blockchain experts to show how blockchain technology changes business sectors, name affected consumers in these sectors, derive implications for these consumers and list existing as well as currently emerging blockchain-based products and services. Finally, we warn of the technical, institutional and human challenges and manifold pitfalls blockchain technology must overcome to gain widespread adaptation among consumers.

Manufacturing companies have to meet a lot of challenges in continuing training for employees. Especially on the way towards industry 4.0 the workforce needs to be able to handle fast changing environments and ever-changing working contexts. Furthermore, they have to be familiar with constantly new technologies (e.g. complex user interfaces, mobile devices) that are introduced during the process of company development. Due to this, working people are facing a lifelong learning process and need to evolve to knowledge workers. To fulfill these requirements new concepts are necessary for human resources development directly at the workplace and therefore adequate artifact designs. In this paper we design a layered architecture for mobile learning at the workplace. This layered approach offers the possibility to educate employees with different qualifications and skills using an integrated solution. Further, we propose to implement appropriate components at each layer to support different kinds of learning.

The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is typically performed by a limited number of people in organizations with an affinity to modeling. What is captured in models is only a fragment of what ought to be captured. Thus, this research note argues that EM is far from its maximum potential. Many people develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modeling” could lead to groundbreaking innovations. The aim is to investigate integration of the established practices of modeling with local practices of creating and using model-like artifacts of relevance for the overall organization. The paper develops a vision for extending the reach of EM, identifies research areas contributing to the vision and proposes elements of a future research agenda.

Female leaders continue to face bias in the workplace compared to male leaders. When employees are evaluated differently because of who they are rather than how they perform, an ethical dilemma arises for leaders and organizations. Thus, bridging role congruity and social identity leadership theories, we propose that gender biases in leadership evaluations can be overcome by manipulating diversity at the team level. Across two multiple-source, multiple-wave, and randomized field experiments, we test whether team gender composition restores gender equity in leadership evaluations. In Study 1, we find that male leaders are rated as more prototypical in male-dominated groups, an advantage that is eliminated in gender-balanced groups. In Study 2, we replicate and extend this finding by showing that leader gender and team gender composition interact to predict trust in the leader via perceptions of leader prototypicality. The results show causal support for the social identity model of organizational leadership and a boundary condition of role congruity theory. Beyond moral arguments of fairness, our findings also show how, in the case of gender, team diversity can create a more level playing field for leaders. Finally, we outline the implications of our results for leaders, organizations, business ethics, and society.

null