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    <title>ERIM Report Series Research in Management</title>
    <link>http://repub.eur.nl/res/col/2/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Entrepreneurs, institutional entrepreneurship and institutional change. Contextualizing the changing role of actors in the institutionalization of temporary work in the Netherlands from 1960 to 2008 (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/40359/</link>
      <pubDate>2013-06-05T00:00:00Z</pubDate>
      <description>
        
        The intersection of entrepreneurship research and institutional theory has begun to attract increasing scholarly attention. While much recent research has studied "institutional entrepreneurs" credited with creating new or transforming existing institutions to support their projects, less attention has been paid to the institutions that constitute the menus from which choices are made, and delineate resources for entrepreneurial or other agentic activities. While models of institutionalization frequently break down the process into different categorical stages, how an evolving context affords changing agentic latitude for actors merits more attention. We study the institutionalization of 'temporary work', a new employment practice led by temporary work organizations, a new organizational form in the Netherlands from the 1960s to 2008. Our account suggests an 'ecological' imagery of institutionalization; rather than entrepreneurs' with predetermined agendas shaping and reshaping institutions, we observed distributed institutional entrepreneurship – entrepreneurs seeking change in concert and in conflict with other interdependent actors simultaneously creating, disrupting and maintaining institutions. By examining how an evolving context influences the role of "actor configurations", whose actions, interactions and counteractions can collectively lead to change, but also unintended outcomes, we highlight the non-teleological nature of institutionalization. Finally, our findings suggest that while the legitimacy of a novel practice grows with increasing institutionalization, legitimacy contests may recur and that increasing institutionalization may provide the backdrop for novel practices to emerge.
      </description>
      <author>Koene, B.A.S.</author> <author>Ansari, S.M.</author>
    </item> <item>
      <title>Dutch Corporate Finance, 1602-1850 (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/40333/</link>
      <pubDate>2013-06-04T00:00:00Z</pubDate>
      <description>
        
        Early Modern Dutch corporate finance had two notable features, a remarkable ease of raising large amounts of capital and a flexible legal framework. Having pioneered new corporate forms with two intercontinental trading companies, Dutch business adopted such forms on a wider scale only during the 18th century, when economic concentration and consolidation led to the appearance of business units large enough to need them. The financial intermediation and legal institutions available also facilitated early industrialization during the 19th century, up to and including the railways. The large export of capital throughout the period under consideration failed to harm economic development at any point or in any way.
      </description>
      <author>Jong, A. de</author> <author>Jonker, J.</author> <author>Roëll, A.</author>
    </item> <item>
      <title>Towards autonomous decision-making: A probabilistic model for learning multi-user preferences (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/40144/</link>
      <pubDate>2013-05-22T00:00:00Z</pubDate>
      <description>
        
        Information systems have revolutionized the provisioning of decision-relevant information, and decision support tools have improved human decisions in many domains. Autonomous decision- making, on the other hand, remains hampered by systems’ inability to faithfully capture human preferences. We present a computational preference model that learns unobtrusively from lim- ited data by pooling observations across like-minded users. Our model quantifies the certainty of its own predictions as input to autonomous decision-making tasks, and it infers probabilistic segments based on user choices in the process. We evaluate our model on real-world preference data collected on a commercial crowdsourcing platform, and we find that it outperforms both individual and population-level estimates in terms of predictive accuracy and the informative- ness of its certainty estimates. Our work takes an important step toward systems that act autonomously on their users’ behalf.
      </description>
      <author>Peters, M.</author> <author>Ketter, W.</author>
    </item> <item>
      <title>The 2013 Power Trading Agent Competition (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/40138/</link>
      <pubDate>2013-05-22T00:00:00Z</pubDate>
      <description>
        
        This is the specification for the Power Trading Agent Competition for 2013 (Power TAC 2013). Power TAC is a competitive simulation that models a “liberalized” retail electrical energy market, where competing business entities or “brokers” offer energy services to customers through tariff contracts, and must then serve those customers by trading in a wholesale market. Brokers are challenged to maximize their profits by buying and selling energy in the wholesale and retail markets, subject to fixed costs and constraints. Costs include fees for publication and withdrawal of tariffs, and distribution fees for transporting energy to their contracted customers. Costs are also incurred whenever there is an imbalance between a broker’s total contracted energy supply and demand within a given time slot.

The simulation environment models a wholesale market, a regulated distribution utility, and a population of energy customers, situated in a real location on Earth during a specific period for which weather data is available. The wholesale market is a relatively simple call market, similar to many existing wholesale electric power markets, such as Nord Pool in Scandinavia or FERC markets in North America, but unlike the FERC markets we are modeling a single region, and therefore we do not model location-marginal pricing. Customer models include households and a variety of commercial and industrial entities, many of which have production capacity (such as solar panels or wind turbines) as well as electric vehicles. All have “real-time” metering to support allocation of their hourly supply and demand to their subscribed brokers, and all are approximate utility maximizers with respect to tariff selection, although the factors making up their utility functions may include aversion to change and complexity that can retard uptake of marginally better tariff offers. The distribution utility models the regulated natural monopoly that owns the regional distribution network, and is responsible for maintenance of its infrastructure and for real-time balancing of supply and demand. The balancing process is a market-based mechanism that uses economic incentives to encourage brokers to achieve balance within their portfolios of tariff subscribers and wholesale market positions, in the face of stochastic customer behaviors and weather-dependent renewable energy sources. The broker with the highest bank balance at the end of the simulation wins.
      </description>
      <author>Ketter, W.</author> <author>Collins, J.</author> <author>Reddy, P.</author> <author>Weerdt, M.M. de</author>
    </item> <item>
      <title>Using Preferred Outcome Distributions to Estimate Value and Probability Weighting Functions in Decisions under Risk (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/39958/</link>
      <pubDate>2013-05-08T00:00:00Z</pubDate>
      <description>
        
        In this paper we propose the use of preferred outcome distributions as a new method to elicit individuals’ value and probability weighting functions in decisions under risk. Extant approaches for the elicitation of these two key ingredients of individuals’ risk attitude typically rely on a long, chained sequence of lottery choices. In contrast, preferred outcome distributions can be elicited through an intuitive graphical interface, and, as we show, the information contained in two preferred outcome distributions is sufficient to identify non-parametrically both the value function and the probability weighting function in rank-dependent utility models. To illustrate our method and its advantages, we run an incentive-compatible lab study in which participants use a simple graphical interface – the Distribution Builder (Goldstein et al. 2008) – to construct their preferred outcome distributions, subject to a budget constraint. Results show that estimates of the value function are in line with previous research but that probability weighting biases are diminished, thus favoring our proposed approach based on preferred outcome distributions.
      </description>
      <author>Donkers, A.C.D.</author> <author>Lourenço, C.J.S.</author> <author>Dellaert, B.G.C.</author> <author>Goldstein, D.G.</author>
    </item> <item>
      <title>Not Willing, Not Able: Causes of Measurement Error in Business Surveys (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/39658/</link>
      <pubDate>2013-04-16T00:00:00Z</pubDate>
      <description>
        
        National statistical institutes must collect accurate data from businesses in a timely and cost-effective way and without causing too much response burden. An adequate design of the information request is critical in achieving this goal. This paper describes the lessons we have learned about the design of business survey questionnaires from a thorough evaluation of the questionnaires of a typical business survey for official statistics, the Structural Business Survey. The paper presents a framework for understanding factors that contribute to missing and inaccurate data and draws a number of conclusions regarding how the design of business surveys can be improved to take these factors into account.
      </description>
      <author>Giesen, D.</author> <author>Hak, A.</author>
    </item> <item>
      <title>Advertising-induced Embarrassment (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/39630/</link>
      <pubDate>2013-04-15T00:00:00Z</pubDate>
      <description>
        
        Consumer embarrassment is an important concern for marketers. Yet, little is known
about embarrassment in passive situations like advertising viewing. The authors investigate when and why consumers experience embarrassment as a result of exposure to socially sensitive advertisements. The theory distinguishes between viewing potentially embarrassing ads together with an audience that shares the social identity targeted by the message and viewing the same ads together with an audience that does not share the targeted social identity. Four studies provide support for the theory, demonstrating that advertising targeting and social context jointly determine feelings of embarrassment and advertising effectiveness.
      </description>
      <author>Puntoni, S.</author> <author>Hooge, I.E. de</author> <author>Verbeke, W.J.M.I.</author>
    </item> <item>
      <title>Trademark or patent? The effects of market structure, customer type and venture capital financing on start-ups' IP decisions (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/39515/</link>
      <pubDate>2013-04-09T00:00:00Z</pubDate>
      <description>
        
        We analyze the initial intellectual property (IP) right of 4,703 start-up entrants in the US, distinguishing between trademark and patent applications. The results show that start-ups are more likely to file for a trademark instead of a patent when entering into more competitive market structures. Further, we find that start-ups with a focus on distribution that serves end-consumers are more likely to file for a trademark and that start-ups that operate upstream and sell to other businesses are more likely to file for a patent. Lastly, the external influences on a start-up‟s management, such as the involvement of a venture capitalist (VC), affect IP applications. The increased incentive of VC-backed start-ups to become operational on the market makes them more likely to file initial IP in the form of a trademark rather than a patent. Among other factors, we control for R&amp;D and advertising intensity in the industry and distinguish between more technical and more service-driven industries.
      </description>
      <author>De Vries, G.A.</author> <author>Pennings, H.P.G.</author> <author>Block, J.H.</author>
    </item> <item>
      <title>ADHD Symptoms and Entrepreneurial Intentions (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37266/</link>
      <pubDate>2013-03-26T00:00:00Z</pubDate>
      <description>
        
        The growing interest of the business world in the virtues of individ- uals with specific cognitive behavioral characteristics, such as lack of attention and hyperactivity, is not matched by scholarly work. Indi- viduals who experience the challenges associated with such character- istics are thought to thrive in work environments that embrace their talents. Given that entrepreneurship requires a distinctive mindset, we test the hypothesis that individuals who, more than others, expe- rience symptoms of attention deficit and hyperactivity (ADHD) favor entrepreneurship over wage-employment. Using data of nearly 13,000 university students, we show that symptoms of attention deficit and hyperactivity increase the likelihood of intending to startup a busi- ness directly after study. We find evidence for partial mediation of two work attributes; independence and risk tolerance. Students who experience ADHD symptoms prefer to work independently and do not shy away from working on high-risk projects, which partly explains their preference for an entrepreneurial career.
      </description>
      <author>Verheul, I.</author> <author>Block, J.H.</author> <author>Burmeister-Lamp, K.</author> <author>Thurik, A.R.</author> <author>Tiemeier, H.</author> <author>Turturea, R.</author>
    </item> <item>
      <title>"Counting Your Customers": When will they buy next? An empirical validation of probabilistic customer base analysis models based on purchase timing (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/38235/</link>
      <pubDate>2013-01-08T00:00:00Z</pubDate>
      <description>
        
        This research provides a new way to validate and compare buy-till-you-defect [BTYD] models. These models specify a customer’s transaction and defection processes in a non-contractual setting. They are typically used to identify active customers in a com- pany’s customer base and to predict the number of purchases. Surprisingly, the literature shows that models with quite different assumptions tend to have a similar predictive performance.
We show that BTYD models can also be used to predict the timing of the next purchase. Such predictions are managerially relevant as they enable managers to choose appropriate promotion strategies to improve revenues. Moreover, the predictive performance on the purchase timing can be more informative on the relative quality of BTYD models.
For each of the established models, we discuss the prediction of the purchase timing. Next, we compare these models across three datasets on the predictive performance on the purchase timing as well as purchase frequency.
We show that while the Pareto/NBD and its Hierarchical Bayes extension [HB] models perform the best in predicting transaction frequency, the PDO and HB models predict transaction timing more accurately. Furthermore, we find that differences in a model’s predictive performance across datasets can be explained by the correlation between behavioral parameters and the proportion of customers without repeat purchases.
      </description>
      <author>Korkmaz, E.</author> <author>Kuik, R.</author> <author>Fok, D.</author>
    </item> <item>
      <title>Implementing Grassroots Innovation in a Large Firm: A Conceptual Framework and In-Depth Case Study (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/38149/</link>
      <pubDate>2012-12-21T00:00:00Z</pubDate>
      <description>
        
        In order to promote the generation of market breakthroughs and disruptive innovation, organizations increasingly promote grassroots innovation, i.e. the emergence of innovative ideas from their whole employee base. Despite this surge in interest in grassroots innovation, there is a lack of guidance on how organizations should design and implement grassroots innovation programs. A key challenge faced by organizations promoting grassroots innovation is how to motivate the right employees to submit their best ideas and persist in their quest to transform such ideas in successful new businesses. In this paper, we draw on self-determination theory (SDT) to propose a conceptual framework that organizations can use to design effective grassroots innovation programs. We offer an in-depth understanding of how top-management support and the mechanisms behind grassroots innovation programs (e.g., idea sourcing, team formation, team/idea selection and training/coaching) influence employees’ motivation to submit their best ideas and, consequently, the success of grassroots innovation programs. We argue, in line with SDT, that successful grassroots innovation programs need to promote employees’ intrinsic motivation for innovation by satisfying three innate human needs: competence, autonomy and relatedness. Through an in-depth case study (the Innospire program at Merck), we provide evidence that support our propositions and discuss how organizations can successfully implement the proposed framework. 
      </description>
      <author>Betz, U.A.K.</author> <author>Camacho, N.M.A.</author> <author>Gerards, M.</author> <author>Stremersch, S.</author>
    </item> <item>
      <title>Self-Employed but Looking: A Labor Market Experiment (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/38004/</link>
      <pubDate>2012-12-06T00:00:00Z</pubDate>
      <description>
        
        Empirical studies have shown that entrepreneurs earn, on average, less than the market wage for employees with otherwise similar characteristics. We examine whether having previously been self-employed is in itself a negative signal on the job market. In a field experiment where two applications of otherwise equally qualified individuals were sent for the same vacancies, we find that entrepreneurs systematically receive fewer responses than non-entrepreneurs. Thus, it appears that the earnings differential is partially explained by the fact that entrepreneurs do not have access to the reference jobs in practice. We discuss what type of unfavorable information self-employment may carry.
      </description>
      <author>Koellinger, Ph.D.</author> <author>Mell, J.</author> <author>Pohl, I.</author> <author>Roessler, C.</author> <author>Treffers, T.</author>
    </item> <item>
      <title>Market Design in Chinese Market Places (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37959/</link>
      <pubDate>2012-11-28T00:00:00Z</pubDate>
      <description>
        
        The Market Design (MD) approach to institutional analysis provides the analytical tools to evaluate endogenous institution building in local market places irrespective of the institutional setting of the national economy. Implicit in this analysis of endogenous institution building at the market place level is the recognition of institutional diversity, which none of the conventional forms of institutional analysis can provide. We extend the MD approach from its original game theory perspective to examine three market places in China: township and village enterprises, equity joint ventures and public utilities. We conclude that the MD approach (1) provides the analytical tools and criteria to evaluate whether or not market places are robust and sustainable, (2) links market behavior at the market place level, which is characterized by size, coordination and trust problems, with general level considerations based on transaction costs, and (3) suggests that functioning market places are achievable, even if the formal institutions of the general economy are weak or partially missing. Our research has policy implications and opens new avenues for research into the emergence of markets.
      </description>
      <author>Krug, B.</author> <author>Hendrischke, H.</author>
    </item> <item>
      <title>Cooperative CEO Identity and Efficient Governance: Member or Outside CEO? (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37879/</link>
      <pubDate>2012-11-22T00:00:00Z</pubDate>
      <description>
        
        A principal-agent model is formulated to capture the efficiency of cooperatives with a member CEO and cooperatives with an employed outsider as CEO. Results of the model show that the incentive strength regarding the member CEO is stronger compared to that of the outside CEO in order to shift some effort of the member CEO from individual farming into the task of adding value to the cooperative enterprise. A cooperative with a member CEO is uniquely efficient when upstream and downstream tasks are substitutes to a certain extent, or complements. When the tasks are substitutes, the efficient CEO identity depends on the strength of the substitution effect and the difference of the marginal productivities between the two tasks. The scope of cooperatives with a member CEO being efficient becomes smaller when the substitution effect is at an intermediate level or the productivity difference between the two tasks is limited.
      </description>
      <author>Liang, Q.X.</author> <author>Hendrikse, G.W.J.</author>
    </item> <item>
      <title>Perceived credit constraints in the European Union (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/17699/</link>
      <pubDate>2012-10-29T00:00:00Z</pubDate>
      <description>
        
        The promotion and support of small and medium-sized enterprises (SMEs) forms an essential ingredient of the policies designed to help improve Europe’s economic performance. A key issue is whether SMEs face difficulty obtaining bank loans. Using pre-crisis survey data from 2005 and 2006 for nearly 3,500 SMEs (firms with fewer than 250 employees) in the European Union (EU), we investigate the determinants of perceived bank loan accessibility at the firm level and at the country level. Based on hierarchical (multi-level) binomial logit regressions, our findings show that the youngest and smallest SMEs have the worst perceptions regarding access to bank loans. The SMEs in nations with concentrated banking sectors are more positive about loan accessibility. In addition, a high fraction of foreign-owned banks is associated with improved perceptions regarding loan accessibility in the EU 15 but not in the EU 10.
      </description>
      <author>Canton, E.J.F.</author> <author>Grilo, I.</author> <author>Monteagudo, J.</author> <author>Zwan, P.W.  van der</author>
    </item> <item>
      <title>Forecasting Volatility with the Realized Range in the Presence of Noise and Non-Trading (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37538/</link>
      <pubDate>2012-10-25T00:00:00Z</pubDate>
      <description>
        
        We introduce a heuristic bias-adjustment for the transaction price-based realized range estimator of daily volatility in the presence of bid-ask bounce and non-trading. The adjustment is an extension of the estimator proposed in Christensen et al. (2009). We relax the assumption that all intra-day high (low) transaction prices are at the ask (bid) quote. Using data-based simulations we obtain estimates of the probability that a given intraday range is (upward or downward) biased or not, which we use for a more refined bias-adjustment of the realized range estimator. Both Monte Carlo simulations and an empirical application involving a liquid and a relatively illiquid S&amp;P500 constituent demonstrate that ex post measures and ex ante forecasts based on the heuristically adjusted realized range compare favorably to existing bias-adjusted (two time scales) realized range and (two time scales) realized variance estimators.
      </description>
      <author>Bannouh, K.</author> <author>Martens, M.P.E.</author> <author>Dijk, D.J.C. van</author>
    </item> <item>
      <title>Realized mixed-frequency factor models for vast dimensional covariance estimation (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37470/</link>
      <pubDate>2012-10-23T00:00:00Z</pubDate>
      <description>
        
        We introduce a Mixed-Frequency Factor Model (MFFM) to estimate vast dimensional covari- ance matrices of asset returns. The MFFM uses high-frequency (intraday) data to estimate factor (co)variances and idiosyncratic risk and low-frequency (daily) data to estimate the factor loadings. We propose the use of highly liquid assets such as exchange traded funds (ETFs) as factors. Prices for these contracts are observed essentially free of microstructure noise at high frequencies, allowing us to obtain precise estimates of the factor covariances. The factor loadings instead are estimated from daily data to avoid biases due to market microstructure effects such as the relative illiquidity of individual stocks and non-synchronicity between the returns on factors and stocks. Our theoretical, simulation and empirical results illustrate that the performance of the MFFM is excellent, both compared to conventional factor models based solely on low-frequency data and to popular realized covariance estimators based on high-frequency data.
      </description>
      <author>Bannouh, K.</author> <author>Martens, M.P.E.</author> <author>Oomen, R.C.A.</author> <author>Dijk, D.J.C. van</author>
    </item> <item>
      <title>Risk Perception and Decision-Making by the Corporate Elite: Empirical Evidence for Netherlands-based Companies (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37301/</link>
      <pubDate>2012-09-25T00:00:00Z</pubDate>
      <description>
        
        We study risk perception and actual decision-making by the corporate elite, where we consider CEOs, CFOs and non-executives. We collect data for many members of the elite for Netherlands-based companies using the vignettes method. We find that CEOs are more risk tolerant but do not act accordingly by demanding higher returns. CFOs and non-executives are found to be more risk-averse; but, interestingly, only the non-executives demand higher returns more than CEOs do. Differences in demanded returns across CEOs and CFOs are found to be negligible. When decision makers mature and get more experienced, they tend to ask higher returns on investment. For all members of the corporate elite it holds that overconfidence is consistently related to higher risk tolerance, whereas those degrees of overconfidence are similar.
      </description>
      <author>Groot, E.A. de</author> <author>Renes, S.</author> <author>Segers, R.</author> <author>Franses, Ph.H.B.F.</author>
    </item> <item>
      <title>The 2012 Power Trading Agent Competition (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37192/</link>
      <pubDate>2012-09-10T00:00:00Z</pubDate>
      <description>
        
        This is the specification for the Power Trading Agent Competition for 2012 (Power TAC 2012). Power TAC is a competitive simulation that models a “liberalized” retail electrical energy market, where competing business entities or “brokers” offer energy services to customers through tariff contracts, and must then serve those customers by trading in a wholesale market. Brokers are challenged to maximize their profits by buying and selling energy in the wholesale and retail markets, subject to fixed costs and constraints. Costs include fees for publication and withdrawal of tariffs, and distribution fees for transporting energy to their contracted customers. Costs are also incurred whenever there is an imbalance between a broker’s total contracted energy supply and demand within a given time slot.
The simulation environment models a wholesale market, a regulated distribution utility,
and a population of energy customers, situated in a real location on Earth during a specific period for which weather data is available. The wholesale market is a relatively simple call market, similar to many existing wholesale electric power markets, such as Nord Pool in Scandinavia or FERC markets in North America, but unlike the FERC markets we are modeling a single region, and therefore we do not model location-marginal pricing. Customer models include households and a variety of commercial and industrial entities, many of which have production capacity (such as solar panels or wind turbines) as well as electric vehicles. All have “real-time” metering to support allocation of their hourly supply and demand to their subscribed brokers, and all are approximate utility maximizers with respect to tariff selection, although the factors making up their utility functions may include aversion to change and complexity that can retard uptake of marginally better tariff offers. The distribution utility models the regulated natural monopoly that owns the regional distribution network, and is responsible for maintenance of its infrastructure and for real-time balancing of supply and demand. The balancing process is a market-based mechanism that uses economic incentives to encourage brokers to achieve balance within their portfolios of tariff subscribers and wholesale market positions, in the face of stochastic customer behaviors and weather-dependent renewable energy sources. The broker with the highest bank balance at the end of the simulation wins.
      </description>
      <author>Ketter, W.</author> <author>Collins, J.</author> <author>Reddy, P.</author> <author>Weerdt, M.M. de</author>
    </item> <item>
      <title>Uncertainties And Governance Structure In Incentives Provision For Product Quality (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/37346/</link>
      <pubDate>2012-08-27T00:00:00Z</pubDate>
      <description>
        
        This paper compares the product quality provision of cooperatives and investor owned firms (IOFs) by highlighting the impacts of uncertainties in agricultural production and marketing, and farmers’ risk aversion. In a principal-agent model, we show that the linear contract can shift the risk of market uncertainty from farmers to processors, and pooling can share the risk of production uncertainty among cooperative members. Complete pooling places the cooperative at a disadvantage relative to the IOF in a quality-differentiated market due to the loss of free-riding dominating the gain of risk-sharing. Product quality of cooperatives decreases when the membership size increases. Cooperatives can overcome this disadvantage by partial pooling. Product quality of cooperatives will be equivalent to that of IOFs when an optimal income rights structure with partial pooling is adopted.
      </description>
      <author>Deng, W.</author> <author>Hendrikse, G.W.J.</author>
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