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Purpose. Experience suggests that a loss of trust may occur on both sides of the merger and acquisition (M&A) equation – acquirer and acquiree – though the latter is more generally considered the most affected. The purpose of this paper is to explore how a loss of trust during the M&A process in family firms can be avoided. An acquisition potentially triggers a loss of trust in the workplace and, as a result, a loss of productivity thereby causing the merged business to totter. Moreover, trust in a firm’s owner tends to be a key driver in merging family firms.
Design/methodology/approach. The authors investigated an expanding German family firm that recently acquired other family firms. They conducted in-depth interviews on all hierarchical levels in both the acquiring and the acquired firm. These cases are taken from a wider study of acquiring family firms completed in 2019.
Findings. Value congruence, integrity and openness are found to enhance trust during M&As, in particular, if the new owner of a merged enterprise is also a family entrepreneur. Under certain circumstances, the trust of employees in the acquired firm’s previous owner can be transferred to the new owner.
Originality/value. This study explores how specific circumstances of family firms impacts organizational trust in M&A processes. The developed framework helps family firms to use characteristics of their specific nature as an asset to maintain their employees’ organizational trust before, during and even after M&As.
About 75% of the world's energy consumption takes place in cities. Although their large energy consumption attracts a large number of research projects, only a small fraction of them deal with approaches to model energy systems of city districts. These are particularly complex due to the existence of multiple energy sectors (multi-energy systems, MES), different consumption sectors (mixed-use), and different stakeholders who have many different interests.
This contribution is a review of the characteristics of energy system models and existing modeling tools. It evaluates current studies and identifies typical characteristics of models designed to optimize MES in mixed-use districts. These models operate at a temporal resolution of at least 1 h, follow either bottom-up or hybrid analytical approaches and make use of mixed-integer programming, linear or dynamic.
These characteristics were then used to analyze minimum requirements for existing modeling tools. Thirteen of 145 tools included in the study turned out to be suitable for optimizing MES in mixed-use districts. Other tools where either created for other fields of application (12), do not include any methodology of optimization (39), are not suitable to cover city districts as a geographical domain (44), do not include enough energy or demand sectors (20), or operate at a too coarse temporal resolution (17). If additional requirements are imposed, e.g. the applicability of non-financial assessment criteria and open source availability, only two tools remain.
Overall it can be stated that there are very few modeling tools suitable for the optimization of MES in mixed-use districts.
Berufliche Bildung für Menschen mit Beeinträchtigungen im Spannungsfeld von Ausgrenzung und Teilhabe
(2021)
Male juveniles in segregated poor neighbourhoods are at increased risk of violence. The code of the street approach is commonly used to understand the context informing street violence in such marginalized spaces, but the concept is mainly used in Western countries, especially in African American communities in the US. This study investigates whether the code of the street is also applicable to the largest Roma neighbourhood in Europe, located in Bulgaria, through guided interviews with male juveniles. The results show that some elements of the code work are applicable in this space, but clear differences also emerge. These findings affect the generalizability of the approach and the understanding of street violence.