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We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behaviour for one firm, our measure considers analyst behaviour for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasise the importance of investigating analyst behaviour in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.
Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts’ (natural or didactic) problem-solving behavior as well as their eye movements to learners. While research on expert-novice communication mainly focused on experts’ changes in explicit, verbal communication behavior, it is as yet unclear whether and how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts’ natural problem-solving behavior by contrasting it with that of novices. Then, we explored the changes in experts’ behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts’ automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically.
Haftung im Vereinsrecht
(2008)
Grenzen und Chancen der Neuverteilung von Instandhaltungsaufgaben bei einem Massenstahlproduzenten
(1995)
Goal Driven Business Modelling - Supporting Decision Making within Information System Development
(1995)
Gleichstellungsabrede – Gestaltungsmöglichkeiten und -notwendigkeiten für die betriebliche Praxis
(2007)
With a steady increase of regulatory requirements for business processes, automation support of compliance management is a field garnering increasing attention in Information Systems research. Several approaches have been developed to support compliance checking of process models. One major challenge for such approaches is their ability to handle different modeling techniques and compliance rules in order to enable widespread adoption and application. Applying a structured literature search strategy, we reflect and discuss compliance-checking approaches in order to provide an insight into their generalizability and evaluation. The results imply that current approaches mainly focus on special modeling techniques and/or a restricted set of types of compliance rules. Most approaches abstain from real-world evaluation which raises the question of their practical applicability. Referring to the search results, we propose a roadmap for further research in model-based business process compliance checking.
Die Rechtsfigur der gemeinsamen Verantwortlichkeit beschäftigt die datenschutzrechtliche Literatur seit Langem. Die Bestimmung der Verantwortlichkeit bei arbeitsteiligen Verarbeitungsverfahren, welche vor allem bei heutigen Plattformdiensten üblich sind, ist komplex: Stets sind mehrere Akteure beteiligt und in der Regel werden durch die Handlung eines Beteiligten mehrere Verarbeitungsschritte ausgelöst. Nun hat sich der EuGH in einem in mehrfacher Hinsicht bemerkenswerten Urteil geäußert.
Researching the field of business intelligence and analytics (BI & A) has a long tradition within information systems research. Thereby, in each decade the rapid development of technologies opened new room for investigation. Since the early 1950s, the collection and analysis of structured data were the focus of interest, followed by unstructured data since the early 1990s. The third wave of BI & A comprises unstructured and sensor data of mobile devices. The article at hand aims at drawing a comprehensive overview of the status quo in relevant BI & A research of the current decade, focusing on the third wave of BI & A. By this means, the paper’s contribution is fourfold. First, a systematically developed taxonomy for BI & A 3.0 research, containing seven dimensions and 40 characteristics, is presented. Second, the results of a structured literature review containing 75 full research papers are analyzed by applying the developed taxonomy. The analysis provides an overview on the status quo of BI & A 3.0. Third, the results foster discussions on the predicted and observed developments in BI & A research of the past decade. Fourth, research gaps of the third wave of BI & A research are disclosed and concluded in a research agenda.
Die Entwicklungen der Rechtsinformatik und des Informationsrechts zeigen, dass diese Disziplinen aktuell vor der Herausforderung stehen, eine interdisziplinäre Zusammenarbeit zwischen ihnen und anderen Disziplinen zu etablieren. Unterschiedliche Publikationskulturen erschweren die Erreichung dieses Ziels. Forschungsportale stellen themenspezifische, internetbasierte Verzeichnisse dar, die bereits vorhandene Informationen strukturiert zugänglich machen. Sie können die Beziehungen zwischen den Disziplinen fördern, indem sie bereits erzielte Arbeitsergebnisse disziplinenübergreifend bekannt machen und dadurch dazu beitragen, Synergiepotenziale und mögliche Kooperationspartner zu identifizieren.