Introducing conflict as the microfoundation of organizational ambidexterity

This article contributes to our understanding of organizational ambidexterity by introducing conflict as its microfoundation. Existing research distinguishes between three approaches to how organizations can be ambidextrous, that is, engage in both exploitation and exploration. They may sequentially shift the strategic focus of the organization over time, they may establish structural arrangements enabling the simultaneous pursuit of being both exploitative and explorative, or they may provide a supportive organizational context for ambidextrous behavior. However, we know little about how exactly ambidexterity is accomplished and managed. We argue that ambidexterity is a dynamic and conflict-laden phenomenon, and we locate conflict at the level of individuals, units, and organizations. We develop the argument that conflicts in social interaction serve as the microfoundation to organizing ambidexterity, but that their function and type vary across the different approaches toward ambidexterity. The perspective developed in this article opens up promising research avenues to examine how organizations purposefully manage ambidexterity

On convexity of solutions of ordinary differential equations

We prove a result on the convex dependence of solutions of ordinary differential equations on an ordered finite-dimensional real vector space with respect to the initial data.Comment: 10 page

Trajectory Splitting by Restricted Replication

New algorithms for efficient trajectory splitting are presented. By derandomizing these techniques that are derived from randomized quasi-Monte Carlo integration, trajectory splitting for the quasi-Monte Carlo method becomes available

How to Gauge the Relevance of Codes in Qualitative Data Analysis? - A Technique Based on Information Retrieval

Qualitative research has experienced broad acceptance in the IS discipline. Despite the merits for exploring new phenomena, qualitative methods are criticized for their subjectivity when it comes to interpretation. Therefore, research mostly emphasized the development of criteria and guidelines for good practice. I present an approach to counteract the issue of credibility and traceability in qualitative data analysis and expand the repertoire of approaches used in IS research. I draw on an existing approach from the information science discipline and adapt it to analyze coded qualitative data. The developed approach is designed to answer questions about the specific relevance of codes and aims to support the researcher in detecting hidden information in the coded material. For this reason, the paper contributes to the IS methodology with bringing new insights to current methods by enhancing them with an approach from another discipline