5,715 research outputs found

    On Prize Mechanisms in linear quadratic team theory

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    A distributed linear quadratic decision problem is considered, where several different controllers act as a team, but with access to different measurements. Previous contributions have shown how to state the optimal synthesis as a finite-dimensional convex optimization problem. This paper shows that the dynamic behavior can be optimized by a distributed iterative procedure, without any need for a globally available model or centralized coordination. An illustrative model with three agents is considered

    Concern for relative position, rank-order contests, and contributions to public goods

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    We study the consequences of concern for relative position and status in a public good economy. We consider a group of agents who are engaged in a contest for position whereby a set of rewards are distributed according to relative status. The extent of concern for rewards, together with the relative magnitude of rewards, will have an impact on agents’ willingness to contribute to public goods. Depending on the nature of prizes, i.e. whether higher private good consumption is rewarded or punished, the contest for relative position will either exacerbate or ameliorate the free-riding problem inherent in public good environments. In addition to examining the implications of concern for relative position, we also consider how an appropriate scheme of rewards might be designed to induce more efficient levels of public good.relative position; status seeking; public goods; contests

    Fourteenth Biennial Status Report: MĂ€rz 2017 - February 2019

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    Understanding and Leveraging Crowd Development in Crowdsourcing

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    abstract: Although many examples have demonstrated the great potential of a human crowd as an alternative supplier in creative problem-solving, empirical evidence shows that the performance of a crowd varies greatly even under similar situations. This phenomenon is defined as the performance variation puzzle in crowdsourcing. Cases suggest that crowd development influences crowd performance, but little research in crowdsourcing literature has examined the issue of crowd development. This dissertation studies how crowd development impacts crowd performance in crowdsourcing. It first develops a double-funnel framework on crowd development. Based on structural thinking and four crowd development examples, this conceptual framework elaborates different steps of crowd development in crowdsourcing. By doing so, this dissertation partitions a crowd development process into two sub-processes that map out two empirical studies. The first study examines the relationships between elements of event design and crowd emergence and the mechanisms underlying these relationships. This study takes a strong inference approach and tests whether tournament theory is more applicable than diffusion theory in explaining the relationships between elements of event design and crowd emergence in crowdsourcing. Results show that that neither diffusion theory nor tournament theory fully explains these relationships. This dissertation proposes a contatition (i.e., contagious competition) perspective that incorporates both elements of these two theories to get a full understanding of crowd emergence in crowdsourcing. The second empirical study draws from innovation search literature and tournament theory to address the performance variation puzzle through analyzing crowd attributes. Results show that neither innovation search perspective nor tournament theory fully explains the relationships between crowd attributes and crowd performance. Based on the research findings, this dissertation discovers a competition-search mechanism beneath the variation of crowd performance in crowdsourcing. This dissertation makes a few significant contributions. It maps out an emergent process for the first time in supply chain literature, discovers the mechanisms underlying the performance implication of a crowd-development process, and answers a research call on crowd engagement and utilization. Managerial implications for crowd management are also discussed.Dissertation/ThesisDoctoral Dissertation Business Administration 201

    Inducement Prizes and Innovation.

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    We examine the effect of prizes on innovation using data on awards for technological development offered by the Royal Agricultural Society of England at annual competitions between 1839 and 1939. We find large effects of the prizes on competitive entry and we also detect an impact of the prizes on the quality of contemporaneous patents, especially when prize categories were set by a strict rotation scheme, thereby mitigating the potentially confounding effect that they targeted only “hot” technology sectors. Prizes encouraged competition and medals were more important than monetary awards. The boost to innovation we observe cannot be explained by the re-direction of existing inventive activity.Awards; Patents; Contests.

    Does Wage Dispersion Make All Firms Productive?

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    This article puts the relationship between wage dispersion and firm productivity to an updated test, taking advantage of access to detailed Belgian linked employer-employee panel data. Controlling for simultaneity issues, time-invariant workplace characteristics and dynamics in the adjustment process of productivity, empirical results reveal the existence of a positive impact from conditional intra-firm wage dispersion to firm productivity (measured by the average value added per hour worked), which however decreases for higher dispersion levels. Findings thus suggest that the incentive effect of wage dispersion, predicted for instance by the 'tournament' model, dominates 'fairness' and/or 'sabotage' considerations. Further results reveal that the influence of wage dispersion on firm productivity is stronger among firms with a larger proportion of highly skilled workers but does not depend on whether wages are collectively renegotiated at the firm level.labour productivity, matched employer-employee panel data, personnel economics, wage dispersion

    MVG Mechanism: Differential Privacy under Matrix-Valued Query

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    Differential privacy mechanism design has traditionally been tailored for a scalar-valued query function. Although many mechanisms such as the Laplace and Gaussian mechanisms can be extended to a matrix-valued query function by adding i.i.d. noise to each element of the matrix, this method is often suboptimal as it forfeits an opportunity to exploit the structural characteristics typically associated with matrix analysis. To address this challenge, we propose a novel differential privacy mechanism called the Matrix-Variate Gaussian (MVG) mechanism, which adds a matrix-valued noise drawn from a matrix-variate Gaussian distribution, and we rigorously prove that the MVG mechanism preserves (Ï”,ÎŽ)(\epsilon,\delta)-differential privacy. Furthermore, we introduce the concept of directional noise made possible by the design of the MVG mechanism. Directional noise allows the impact of the noise on the utility of the matrix-valued query function to be moderated. Finally, we experimentally demonstrate the performance of our mechanism using three matrix-valued queries on three privacy-sensitive datasets. We find that the MVG mechanism notably outperforms four previous state-of-the-art approaches, and provides comparable utility to the non-private baseline.Comment: Appeared in CCS'1

    Top management team and board attributes and firm performance in the Netherlands

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    We survey the evidence on the relationship between board and top management team attributes and firm performance in the Netherlands (sample of 94 listed firms). To this aim we develop hypotheses by using sources from the strategic management and the corporate governance literature. Dutch corporations generally have a two-tier board system. We use the size of the top management team (TMT) and their average age as well as the size of the supervisory board (RVC) and the percentage of outside members as attributes of corporate performance. Our base model consists of two performance indicators: a composite financial accounting measure (of ROA, ROS, and ROE) and a market- based indicator (standardized stock prize increase). Control variables are: log of total assets as an indicator of the size of a firm, leverage and adjusted cash flow/total assets as indicators of financial structure, coefficients of variation of sales and ROA as measures of environmental uncertainty (dynamics), and diversification as a measure of risk-spread. In general, we conclude for the year 1996, that by using the base model, direct linear and non-linear relationships between the TMT/board variables and performance are not existent. Also, the interaction effects with environmental dynamics as a moderating variable are tested. From this analysis it becomes evident that, although environmental uncertainty has a clear direct relationship with performance, it has no significance as a moderating variable. Only in one case the interaction with size of the board leads to a significant result. Indicating (instead of the hypothesized inverted U-shaped relationship) a U-shaped relationship between RVC and performance.
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