comparing alternative models of heterogeneity in consumer choice behavior summary when modeling demand for differentiated products it is vital to adequately capture consumer taste heterogeneity but there is no clearly preferred approach here we compare the performance of six alternative models currently the most popular are mixed logit mixl particularly the version with normal mixing n mixl and latent class lc which assumes discrete consumer types recently several alternative models have been developed the generalized multinomial logit g mnl extends n mixl by allowing for heterogeneity in the logit scale coefficient scale heterogeneity logit s mnl is a special case of g mnl with scale heterogeneity only the mixed mixed logit mm mnl assumes a discrete mixture of normals heterogeneity distribution finally one can modify n mixl by imposing theoretical sign constraints on vertical attributes we call this t mixl we find that none of these models dominates the others but g mnl mm mnl and t mixl typically outperform the popular n mixl and lc models copyright 2012 john wiley sons ltd

the generalized multinomial logit model accounting for scale and coefficient heterogeneity the mixed or heterogeneous multinomial logit mixl model has become popular in a number of fields especially marketing health economics and industrial organization in most applications of the model the vector of consumer utility weights on product attributes is assumed to have a multivariate normal mvn distribution in the population thus some consumers care more about some attributes than others and the iia property of multinomial logit mnl is avoided i e segments of consumers will tend to switch among the subset of brands that possess their most valued attributes the mixl model is also appealing because it is relatively easy to estimate recently however some researchers have argued that the mvn is a poor choice for modelling taste heterogeneity they argue that much of the heterogeneity in attribute weights is accounted for by a pure scale effect i e across consumers all attribute weights are scaled up or down in tandem this implies that choice behaviour is simply more random for some consumers than others i e holding attribute coefficients fixed the scale of their error term is greater this leads to a scale heterogeneity mnl model s mnl here we develop a generalized multinomial logit model g mnl that nests s mnl and mixl by estimating the s mnl mixl and g mnl models on 10 data sets we provide evidence on their relative performance we find that models that account for scale heterogeneity i e g mnl or s mnl are preferred to mixl by the bayes and consistent akaike information criteria in all 10 data sets accounting for scale heterogeneity enables one to account for extreme consumers who exhibit nearly lexicographic preferences as well as consumers who exhibit very random behaviour in a sense we formalize below

stuck on stubble the non market value of agricultural byproducts for diversified farmers in morocco diversified agricultural households often use byproducts of one activity as inputs for another for crop livestock farmers cereal production provides grain and crop residue where the latter can be used as livestock feed to properly assess the cost of introducing new technologies into such systems one must value the implicit cost of byproducts which is made difficult by missing byproduct markets we estimate the shadow value of non market crop stubble using household data from morocco and find that stubble accounts for around one quarter of the value of cereal production in a normal rainfall year and three quarters in a drought year

the effect of market segmentation with demand leakage between market segments on a firm s price and inventory decisions abstract in this paper we address the simultaneous determination of price and inventory replenishment in a newsvendor setting when the firm faces demand from two or more market segments in which the firm can set different prices we allow for demand leakage from higher priced segments to lower priced segments and assume that unsatisfied demand can be backlogged we examine the case where the demands occur concurrently without priority and are met from a single inventory we consider customer s buy down behavior explicitly by modeling demand leakage as a function of segment price differentiation and characterize the structure of optimal inventory and pricing policies

conflict management decentralization and agropastoralism in dryland west africa summary this paper reports on a four site study conducted in the sahelian zone of niger the study takes a novel mixed methods approach for understanding conflict management from the perspective of rural peoples by not only describing past highly publicized conflicts but also by analyzing the steps rural peoples follow to management disagreements that arise in their everyday lives this bottom up approach reveals both a capacity and preference among our informants to manage disagreements informally without involving village or extra village authorities decentralization initiatives by reworking the authority and responsibilities of authority based systems affect the role that these informal mechanisms as mediated by social norms and relations play in conflict management

optimal fences and joint price and inventory decisions in distinct markets with demand leakage abstract this paper evaluates the simultaneous determination of price and inventory replenishment when a firm faces demand from distinct market segments a firm utilizes fences such as advance or nonrefundable payment to maintain separation of its market segments however fences are imperfect and allow a degree of demand leakage from the higher priced to the lower priced market segment we investigate the optimal structure of joint price and inventory decisions with fencing and demonstrate that more segments is not necessarily better especially when demand uncertainty is high in the presence of lost sales we also show the impact of imperfect fences on the firm s profitability and evaluate how fencing costs affect the optimal fencing decision

legal pluralism and decentralization natural resource management in mali summary much recent work on decentralized natural resource management has focused on the institutional arrangements that shape the balance of powers between central and local governments it has given comparatively less attention to relationships between local government and community level institutions in mali decentralization has superimposed modern legal institutions on community institutions the ambiguous relationships between them can undermine both the authority of nascent local governments and the performance of customary institutions legal pluralism the coexistence and interaction of multiple normative orders with different sources of legitimacy and authority helps explain the dynamic nature of local institutions under decentralization this article examines the experiences of three malian communities with decentralized natural resource management one maintains autonomy from government another engaged its local government and a third negotiated a multi stakeholder agreement a local convention they demonstrate that crafting workable relationships between communities and local government requires a pragmatic approach to negotiating and institutionalizing political space for innovation in self governance

determining optimal price and order size for a price setting newsvendor under cycle service level abstract there has been significant interest in the single period newsvendor problem where besides determining the order size the decision maker has to set the selling price the model is applicable when demand for the product is a stochastic function of the selling price although there have been several studies the problem needs exploration given that retailers prefer using service level rather than the shortage cost to model the economic consequence of a stock out we analyze the problem using a chance constrained formulation and provide a procedure for determining the optimal price and order size for a price setting newsvendor

a price setting newsvendor problem under mean variance criteria the single product single period newsvendor problem with two decision variables namely price and stock quantity is considered the performance measure in addition to the expected revenue includes the variance of the income scaled with a risk parameter we present conditions for the concavity of this risk sensitive performance measure and the uniqueness of the optimal solution for both risk averse and risk seeking cases under the additive demand model and compare the results to others previously published these conditions are introduced in terms of the lost sales rate elasticity furthermore we provide numerical examples that aim to endorse the theoretical results herein explained

newsvendor solutions via conditional value at risk minimization abstract in this paper we consider the minimization of the conditional value at risk cvar a most preferable risk measure in financial risk management in the context of the well known single period newsvendor problem which is originally formulated as the maximization of the expected profit or the minimization of the expected cost we show that downside risk measures including the cvar are tractable in the problem due to their convexity and consequently under mild assumptions on the probability distribution of products demand we provide analytical solutions or linear programming lp formulation of the minimization of the cvar measures defined with two different loss functions numerical examples are also exhibited clarifying the difference among the models analyzed in this paper and demonstrating the efficiency of the lp solutions

recentralizing while decentralizing how national governments reappropriate forest resources summary decentralization initiatives have been launched in the majority of developing countries but these rarely lay the foundations necessary to reach decentralization s purported efficiency and equity benefits this paper uses a comparative empirical approach to show how central governments in six countries senegal uganda nepal indonesia bolivia and nicaragua use a variety of strategies to obstruct the democratic decentralization of resource management and hence retain central control effective decentralization requires the construction of accountable institutions at all levels of government and a secure domain of autonomous decision making at the local level

natural resources and decentralization in nicaragua are local governments up to the job abstract both decentralization and natural resource management literature suggest that natural resources could benefit from the redistribution of centralized management authority yet neither has sufficiently examined the processes already underway in numerous developing countries to decentralize resource management from central to municipal government authorities this study reviews the role of 21 local governments in forest management in nicaragua it finds that most interventions are economically motivated and that three key factors are needed for local governments to be good resource managers capacity incentive and long term commitment these three factors are part of a process in which civil society can play a critical role

a minimax distribution free procedure for a newsvendor problem with free shipping abstract in this paper we study the optimal policies of retailers who operate their inventory with a single period model i e newsvendor model under a free shipping offer where a fixed shipping fee is exempted if an order quantity is greater than or equal to a given minimum quantity zhou et al 2009 have explored this model and we further investigate their analysis for the optimal ordering policies which they did not sufficiently develop based on the investigation we extend the base model in order to deal with the practically important aspect of inventory management when the exact distribution function of demand is not available we incorporate the aspect into the base model and present the optimal policies for the extended model with a numerical example finally we conduct extensive numerical experiments to evaluate the performance of the extended model and analyze the impacts of minimum free shipping quantity and the fixed shipping fee on the performance

decentralization institutional ambiguity and mineral resource conflict in mindanao philippines based on an analytical framework that builds on theories of incremental institutional change this article interrogates the relationship between decentralization and mineral resource conflict in the philippines here efforts to decentralize control over mineral resource wealth have resulted in a highly ambiguous institutional arena wherein heterogeneous actor coalitions are attempting to influence trajectories of institutional change and the associated distribution of mineral wealth on the ground this institutional renegotiation produces a diverse range of conflicts emerging on top of these institutional struggles are local elected politicians which raises important concerns over elite capture of the decentralization process

refund policies for cores with quality variation in oem remanufacturing cores are essential for the remanufacturing business the lack of cores with proper quality is reported as a highly ranked factor that limits both third party and oem original equipment manufactur

the legal environment and incentives for change in property rights institutions summary land conflicts in many parts of the world indicate pressures for change in the property rights institutions governing land acquisition and land use whether or not institutional change occurs depends on the incentives and capacities of political actors this article argues that the legal environment is one factor influencing incentives for institutional change three case studies of land governance in southeast asia s palm oil industry illustrate three types of legal environment rule by law legalism legal pluralism and lawlessness or routinized illegality the cases show that the legal environment shapes modes of resistance to property reallocations in the palm oil industry rule by law legalism supports legalized modes of resistance through the court system in contrast legal pluralism and lawlessness favor the use of political strategies to contest property reallocations the mode of resistance in turn determines whether actors acquiring property have incentives to gain legal cover or whether investing in political resources is more rewarding although the effectiveness of resistance is largely determined by the distribution of political resources the mode of resistance helps explain whether there is demand for property rights institutions that offer generalized legal certainty in property protection path dependence arising from the legal environment therefore influences the direction of institutional change

newsvendor models for innovative products with one shot decision theory abstract in this paper newsvendor problems for innovative products are analyzed because the product is new no relevant historical data is available for statistical demand analysis instead of using the probability distribution the possibility distribution is utilized to characterize the uncertainty of the demand we consider products whose life cycles are expected to be smaller than the procurement lead times determining optimal order quantities of such products is a typical one shot decision problem for a retailer therefore newsvendor models for innovative products are proposed based on the one shot decision theory osdt the main contributions of this research are as follows the general solutions of active passive apprehensive and daring focus points and optimal alternatives are proposed and the existence theorem is established in the one shot decision theory a simple and effective approach for identifying the possibility distribution is developed newsvendor models with four types of focus points are built managerial insights into the behaviors of different types of retailers are gained by the theoretical analysis the proposed models are scenario based decision models which provide a fundamental alternative to analyze newsvendor problems for innovative products

a benchmark solution for the risk averse newsvendor problem in this paper we derive the first order conditions for optimality for the problem of a risk averse expected utility maximizer newsvendor we use these conditions to solve a special case where the utility function is any increasing differentiable function and the random demand is uniformly distributed this special case has a simple closed form solution and therefore it provides an insightful and practical interpretation to the optimal point we show some properties of the solution and also demonstrate how it can be used for assessing the newsvendor utility function parameters

optimal decisions for the loss averse newsvendor problem under cvar abstract most of the existing literature about the newsvendor problem mainly focused on choosing an optimal order quantity to maximize the expected profit of a risk neutral newsvendor however some studies pointed out that in practice managers decisions as to order quantities always deviate from the profit maximization order quantity which is referred to as decision bias in the newsvendor problem then many studies introduced other preferences rather than risk neutrality of the newsvendor to explain such a decision bias this paper thus introduces loss aversion to the research of the newsvendor decision bias we propose a new definition to the loss averse newsvendor problem legacy loss which is defined either as the loss for excess order or the shortage penalty for lost sales when sales time is due the optimal decisions of a loss averse newsvendor are obtained through the following three ways i minimizing the expected legacy loss ii minimizing cvar of legacy loss by combining the cvar measure in risk management iii minimizing the combination of expected legacy loss and cvar of legacy loss and are compared with other existing results besides we present some properties of the optimal decisions as well as relations among them some numerical examples are given to illustrate the obtained results

integration of capacity pricing and lead time decisions in a decentralized supply chain abstract we consider a decentralized supply chain consisting of a supplier and a retailer facing price and lead time sensitive demand the decision process is modelled by a stackelberg game where the supplier as a leader determines the capacity and the wholesale price and the retailer as a follower determines the sale price and lead time the equilibrium strategy of these two players is obtained by comparing with the performance of the corresponding decentralized chain without capacity decision as a benchmark we characterize the impact of capacity decision on the players profit i e the supplier s profit may be always significantly increased while the retailer s profit is only increased when the capacity is underestimated in the benchmark model further we demonstrate that the integration of capacity decision can also significantly reduce the profit loss caused by double marginalization finally we find that the revenue sharing and two part tariff contracts cannot coordinate the decentralized channel instead we propose a franchise contract with a contingent rebate that can achieve channel coordination and a win win outcome

a risk averse competitive newsvendor problem under the cvar criterion abstract we study a risk averse newsvendor problem with quantity competition and price competition under the conditional value at risk cvar criterion we characterize the optimal quantity and pricing decisions under both quantity and price competition for quantity competition we consider two demand splitting rules namely proportional demand allocation and demand reallocation although competition always leads to overstocking interestingly it does not necessarily lead to a profit loss in certain competitive environments such as demand reallocation by avoiding reducing overstocking that results from competition under the risk neutral criterion for price competition we consider both additive and multiplicative demand we find that the order quantity sale price and the expected profit decrease in the degree of risk aversion further both high price sensitivity and competition intensity force decision makers to lower their prices however high price sensitivity always reduces the order quantity while competition can have the opposite effect

the single item newsboy problem with dual performance measures and quantity discounts abstract this paper considers models for the single item newsboy problem with quantity discount and the following dual performance measure maximize the expected profit subject to a constraint that the probability of achieving a target profit level is no less than a predetermined risk level we also consider two types of quantity discount all unit and incremental for our models with zero shortage cost a closed form solution for determining the optimal order quantity is derived however models with positive shortage cost can only be solved numerically

a note on probability distributions with increasing generalized failure rates distributions with an increasing generalized failure rate igfr have useful applications in pricing and supply chain contracting problems we provide alternative characterizations of the igfr property that lead to simplify verifying whether the igfr condition holds we also relate the limit of the generalized failure rate and the moments of a distribution

a risk tolerance analysis for a joint price differentiation and inventory decisions problem with demand leakage effect abstract price differentiation is a commonly used practice in revenue management rm to improve a firm s profitability however most studies in the literature have considered a risk neutral firm to demonstrate the benefits of price differentiation the main contribution of this paper is in considering several important objectives while determining the optimal product prices and order production quantities for a risk adjusted firm with demand leakage effects in the presence of a price dependent stochastic demand the objectives considered include the maximization of a firm s expected profit and maximizing the probability of exceeding the risk adjusted expected revenue closed form expressions for optimal product prices and production quantities are derived for several of these objectives a numerical study is also presented to calibrate the impact of a firm s risk tolerance and other factors such as demand leakage market demand variability on the firm s profitability and its optimal decision

the distribution free newsboy problem extensions to the shortage penalty case abstract in the classical newsboy problem no cost is assumed if the ordered quantity is less than the demand however in reality failure to meet demand is always associated with a penalty the aim of this work is to extend the analysis of the distribution free newsboy problem to the case when shortage cost is taken into consideration the analysis is based on the assumption that only the mean and variance of demand are known but its particular probability distribution is not a model is presented for determining both an optimal order quantity and a lower bound on the profit under the worst possible distribution of the demand the following cases are considered the single product case the fixed ordering cost case the random yield case and the resource constrained multi product case

a risk averse newsvendor model under marketing dependency and price dependency abstract in this paper we analyze a single period inventory model where a risk averse newsvendor makes a joint decision on ordering pricing and marketing under the cvar risk measure criterion the newsvendor can exert marketing effort to enhance market demand we assume that the newsvendor s marketing effort affects the scale of the demand distribution and hence to model the marketing dependent demand as a multiplicative form we characterize sufficient conditions that guarantee existence and uniqueness of the optimal solutions under some mild assumptions on demand distribution expected demand function and marketing effort cost which are widely used in the related literature we show that the optimal order quantity increases in the newsvendor s marketing effort but the optimal price remains unchanged whether the demand is marketing dependent or not additionally we explore impact of exogenous parameters such as unit order cost salvage value and the newsvendor s risk aversion coefficient on the optimal decision variables and find that the optimal marketing effort always keeps the same changing direction with the optimal marketing independent order quantity as the exogenous parameters change this suggests that impact of the parameters on the optimal order quantity gets strengthened in the case of marketing dependent demand

an integrated approach to price differentiation and inventory decisions with demand leakage abstract price differentiation is among widely practiced tools in revenue management rm in which a seller offers same or slightly different products or services at different prices to its customers earlier research studies have shown that the benefits from price differentiation are evident when the market segmentation is assumed to be perfect in a perfect market segmentation customers associated with a market segment do not move between market segments however it is not uncommon to observe that a market segmentation a firm operates in is seldom prefect and due to imperfect segmentation customers move between market segments which is also referred to as demand leakage in addition the firms predominantly experience stochastic demand and thus a firm experiences both the short sales and leftovers due to demand uncertainty this research proposes a model to address the issue of an optimal market segmentation using price differentiation as a tool we also establish an integrated framework for pricing order and production quantity allocation decisions in each market segment when a firm experiences demand leakage from one market segment to another and faces price dependent stochastic demand the model is analyzed to determine an optimal decision framework on pricing order quantity allocation and market segmentation using the proposed price differentiation due to the complexity of the problem both the hierarchical and joint optimization approaches are developed a simplified closed form optimal solution to the problem is outlined in the case of hierarchical approach the model is also analyzed for a situation in which the distribution of the price dependent stochastic demand is unknown and a distribution free approach is utilized to address the problem it is identified that the use of distribution free approach also results in a closed form optimal solution to the problem a numerical study is presented to demonstrate the performance of the model and solution approaches the benefits of the optimal market segmentation using a differentiation price are also highlighted along with the proposed integrated optimal decision framework when a firm experiences demand leakage