Christian Meske

Bio: Christian Meske is an academic researcher from Free University of Berlin. The author has contributed to research in topics: Computer science & Social media. The author has an hindex of 14, co-authored 65 publications receiving 694 citations. Previous affiliations of Christian Meske include University of Duisburg-Essen & Ruhr University Bochum.

Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities

Abstract: Artificial Intelligence (AI) has diffused into many areas of our private and professional life. In this research note, we describe exemplary risks of black-box AI, the consequent need for explainab...

Adoption and Use of Social Media in Small and Medium-sized Enterprises

Abstract: In recent years, social media have been increasingly adopted in enterprises. Enterprises use social media as an additional way to get in contact with their customers and support internal communication and collaboration. However, little research is devoted to the adoption and internal usage of social media in small and medium-sized enterprises (SMEs), which are of high social and economic importance. The purpose of this paper is to examine the adoption, usage, and benefits of social media in SMEs as well as potential concerns that may prevent a wider adoption of social media in SMEs. Therefore, a survey of decision-makers in German SMEs was conducted. Findings based on 190 responses indicate that SMEs started to use internal social media (e.g., wikis, blogs) in order to support collaboration among employees and to improve knowledge management. However, SMEs still face problems to manage adoption and to identify relevant business values. Based on our results, we derive several implications for SMEs, in particular how to overcome the obstacles to a wider adoption of social media.

From Top to Bottom - Investigating the Changing Role of Hierarchy in Enterprise Social Networks

Abstract: Social media, such as social networking platforms, are increasingly gaining importance in enterprise contexts. Enterprise social networking (ESN) is often associated with improved communication, information-sharing and problem-solving. At the same time, ESN has been argued to diminish the role of formal influence in that users increasingly derive authority from their contributions to the network rather than from their position in the organizational hierarchy. Others argue that ESN will diminish influence considerably by producing more democratic and inclusive communication structures. Yet, these assertions have so far remained largely unexplored empirically. Against this background, we explore what influence both a user’s position in the organization’s hierarchy and a user’s contributions on the network have on the the ability to elicit responses from other ESN users. We draw on a unique data set of more than 110,000 messages collected from the ESN platform used at Deloitte Australia. While we find evidence for both kinds of influence, our data also reveals that informal influence has a stronger effect and that, as the ESN community matures over time, communication structures become indeed more inclusive and balanced across hierarchical levels. We contribute a set of propositions that theorize the ways in which influence and communication pattern are shaped during the process of ESN emergence. Our results further underline the potentials of ESN to improve organic, user-driven communication and knowledge sharing within firms.

The dinu-model – a process model for the design of nudges

Abstract: The sociotechnical paradigm legitimates our discipline and serves as core identity of IS. In this study, we want to focus on IS-induced human behavior by introducing a process model for nudging in IS. In behavioral economics, the concept of nudging has been proposed, which makes use of human cognitive processes and can direct people to an intended behavior. In computer science, the concept of persuasion has evolved with similar goals. Both concepts, nudging and persuasion, can contribute to IS research and may help to explain and steer user behavior in information systems. We aim for an integration of both concepts into one digital nudging process model, making it usable and accessible. We analyzed literature on nudging and persuasion and derived different steps, requirements, and nudging elements. The developed process model aims at enabling researchers and practitioners to design nudges in e.g. software systems but may also contribute to other areas like IT governance. Though the evaluation part of our study has not yet been completed, we present the current state of the process model enabling more research in this area.

Random graphs

Abstract: We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Thinking fast and slow.

Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Flow The Psychology Of Optimal Experience

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