Exploring the antecedents of social liabilities in CVC triads—A dynamic social network perspective

This study addresses the emergence of social liabilities by taking a social network perspective on intra- and interorganizational network configurations using the hitherto unexplored example of the corporate venture capital (CVC) triad (CVC unit, corporate business unit, and portfolio company). We investigate social capital and social liability resulting from network formation and transformation and assess their impact on interorganizational knowledge transfer and creation. Examining 12 CVC triads in Germany, we identify new antecedents of social liability, show that social capital can initially facilitate knowledge transfer and creation, and that structural and personal lock-ins may eventually turn that capital into a liability. We make key theoretical contributions to the social network and CVC literature.     

Smart Meter-Angebote: Eine empirische Untersuchung von Kundenpräferenzen

The implementation of smart meters in German households by 2032 is a major step in the transition towards an intelligent and connected energy system. Despite of federal legislation providing a structured plan for the nationwide smart meter rollout including basic product requirements, actors within the energy market have the opportunity to take an active part in shaping the market through appealing product offers and hence to create competitive advantage. This study identifies relevant features of smart meters from literature und business practice, and measures customer’s preferences for these features. Results indicate predominantly positive customer evaluations of smart meter features, amongst which the availability of consumption data, the installation price and rental charges as well as time variable tariffs contribute most to overall utility of smart meters. Finally, findings suggest targeting customers by defining strategies to address privacy concerns, to educate about saving potentials as well as to create differentiated pricing schemes.     

Assessing the Reliability of Self‐reported Income Information in Informal Small Business Lending through a Bogus Pipeline Experiment

Coping with asymmetric information plays a major role in successful small business lending. Our purpose is to determine if small business applicants report their income information correctly when requesting a loan. We use a randomised controlled trial bogus pipeline experiment, established during a typical cash‐flow analysis of a bank for small businesses in the Philippines. The bogus pipeline approach is commonly applied in social science and aims to increase the rate of truth telling by informing participants that answers will be verified by a lie detector. The experimental data, which include 243 observations of credit clients that are mainly from the agricultural and food value chain, served to identify asymmetric information. Additionally, debtors’ repayment behaviour for approved loans was observed by the bank. Our results indicate that loan applicants of the treatment group report lower incomes, an effect which is most pronounced in lower income quantile. Our analyses also reveal higher loan delinquencies in the control group.