Kai Oliver Thiele
Kai Oliver Thiele is a PhD student at the Hamburg University of Technology in Germany and visiting doctoral researcher at the Kobe University in Japan. He holds an MBA degree from the University of Kansas as well as master’s degree in Business Mathematics from the University of Hamburg. His dissertation focuses on the employees’ view on cross-border M&As in Japan; and is supported by a grant from the German Academic Exchange Service (DAAD). He holds methodological research interests that address the analysis, development and improvement of partial least squares structural equation modeling (PLS-SEM); and gives methodological seminars and presentations about PLS-SEM on regular basis. At distinguished universities (e.g., Kobe University, Keio University, Tokyo Institute of Technology) and conferences (e.g., Academy of Marketing Science Annual Conference) he has given presentations about his research.
The employees’ view on cross-border M&As in Japan
Despite their growing popularity, Mergers & Acquisitions (M&A) are said to fail frequently and have a success rate of less than 50%. M&As between companies from different cultures in general impose unique challenges, but also offer invaluable opportunities for both parties. Since Japan lags behind expectations regarding the amount of cross-border M&As, it is the more important to understand the drivers of successful cross-border acquisitions coming into the country.
In that regard, it has been increasingly argued in research that the employees have a crucial, if not decisive impact on the outcome of an acquisition. However, how the employees’ view on a merger can be successfully managed in order to leverage the M&As’ success rate remains—yet unanswered.
By focusing on the employees’ needs, my research seeks to contribute positively to an increase of the cross-border M&As’ success rate.
In order to test the derived research hypothesis, I focus on applying a multi-method approach in an empirical setting in Japan. I thereby seek to combine the strengths of both: quantitative and qualitative research methods. Specifically, the quantitative strand of my study is operationalized by means of a standardized survey among the employees that are affected by the same stimulus—a foreign acquisition. The analysis of the data is done with partial least squares structural equation modeling (PLS-SEM), while the qualitative strand is employee interviews.
The preliminary results of my study are very promising, having found their way already in research articles co-authored with Prof. Ralf Bebenroth from the Kobe University.