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The text of the working paper is available at SSRN.

When setting budgets, managers may place constraints on how resources can be used in an effort to mitigate opportunistic behavior by subordinates. These restrictions can affect the ability of the subordinate to succeed in the budgeted task, but may also have an unintended spillover effect on the ability to innovate. Using an experiment, we find that individuals working under higher budgetary constraints are more efficient in their use of budgeted resources, but are less successful in the budgeted tasks, than their counterparts working under lower budgetary constraints. Importantly, we find that imposing budgetary constraints also causes employees to subsequently generate fewer highly original and creative ideas in an unrelated activity. These findings suggest that budget structures can have unintended consequences on the innovative capabilities of organizations. This paper contributes to the expansive budgeting literature by showing budgetary control design has organizational performance implications beyond the specified budgeted activity.

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In this paper we study how the coexistence of access regulations for legacy (copper) and fiber networks shapes the incentives to invest in network infrastructure. To this end, we develop a theoretical model explaining investment incentives by incumbent telecom operators and heterogeneous entrants and test its main predictions using panel data from 27 EU member states over the last decade. Our theoretical model extends the existing literature by, among other things, allowing for heterogeneous entrants in internet access markets, as we consider both other telecom and cable TV operators as entrants. In the empirical part, we use a novel data set including information on physical fiber network investments, legacy network access regulation and recently imposed fiber access regulations. Our main finding is that more stringent access regulations for both the legacy and the fiber networks harm investments by incumbent telecom operators, but, in line with our theoretical model, do not affect cable TV operators.

Firms commonly run field experiments to improve their freemium pricing schemes. However, they often lack a framework for analysis that goes beyond directly measurable outcomes and focuses on longer term profit. We aim to fill this gap by structuring existing knowledge on freemium pricing into a stylized framework. We apply the proposed framework in the analysis of a field experiment that contrasts three variations of a freemium pricing scheme and comprises about 300,000 users of a software application. Our findings indicate that a reduction of free product features increases conversion as well as viral activity, but reduces usage – which is in line with the framework’s predictions. Additional back-of-the-envelope profit estimations suggest that managers were overly optimistic about positive externalities from usage and viral activity in their choice of pricing scheme, leading them to give too much of their product away for free. Our framework and its exemplary application can be a remedy.

Operations management scholarship has focused on reference-group adoption positively influencing focal-facility adoption; i.e., positive imitation parameters manifest due to the presence of mimicry and contagion. We instead argue that the incentive to adopt a quality-management system can be inversely related to reference-group diffusion. Our theoretical model formalizes the potential for strategic substitution and negative imitation parameters to be applicable in quality-management adoption. We compile a dataset of 2,895 facility-level observations that allows for three different industry-level reference groups; i.e., domestic industry, domestic exporters and foreign exporters. When undertaking probit estimations that do not account for appropriate fixed effects, we find positive imitation parameters which support the presence of mimicry and contagion. Yet when accounting for fixed effects, the imitation parameters turn negative in line with the presence of strategic substitution. Furthermore, the negative influence of reference-group adoption on focal-facility adoption is robust across the three reference groups.

Central banks are under increased scrutiny because of the rapid growth in, and composition of, their balance sheets. Therefore, understanding the processes that shape these balance sheets and their consequences is crucial. We contribute by studying an extensive dataset of banks’ liquidity uptake and pledged collateral in central bank repos. We document systemic arbitrage whereby banks funnel credit risk and low-quality collateral to the central bank. Weaker banks use lower quality collateral to demand disproportionately larger amounts of central bank money (liquidity). This holds both before and after the financial crisis and may contribute to financial fragility and fragmentation.

Banks have been subject to a wave of investigations regarding fraudulent behavior. Much of the discussion centers on manipulation of hard information by employees down the line, who missell mortgages due to flawed debt-to-income ratios or manipulate LIBOR and FX rates. Despite these prominent cases, little is known in the academic literature as to whether and how manipulation of hard information is affected by incentives of these employees, and if anything there is increasing reliance on quantitative, hard information based models for regulating banks. In this paper, we fill this gap by analyzing almost a quarter million of retail loan applications. We show that loan officer incentives significantly skew ratings even in settings where ratings are computed using hard information only. These incentives have a first-order effect on bank profitability. Our results suggest that ratings are subject to the Lucas critique: Incentives influence the hard information reported by loan officers and thus change the link between hard information and default probabilities.