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We study a market with customers who have heterogeneous preferences for product attributes. We consider two types of firms that compete on price and product variety: A traditional firm, which chooses a limited set of product configurations, and a customizing firm, which can produce any configuration to order. The traditional firm carries product inventories and experiences a lead-time delay. The customizing firm does not carry inventory, and its customers incur waiting costs until they receive their orders. We assume that the customizing firm has limited capacity in the short run (e.g., when it does not outsource production to high-volume manufacturers). We derive the equilibrium for a duopoly competition between the customizing firm and the traditional firm, study its characteristics, and compare it to a monopoly. We characterize conditions that favor customization under competition. We find that the customizing firm's profit is not monotone in the market size and its ease of customization. Similarly, a decline in the traditional firm's holding cost may increase or decrease its profit. We show that the unit cost differential between the firms crucially affects the customizing firm's ideal market size, its returns from expanding capacity, its product variety, and the way operational improvements affect its performance. Key words: mass customization; product strategy; pricing; operations-marketing interface History: Accepted by Paul H. Zipkin, operations and supply chain management; received December 15, 2005. This paper was with the authors 11/2 years for 4 revisions. Published online in Articles in Advance October 7, 2008., 1. Introduction Consumers are increasingly demanding products that closely match their individual preferences, and advances in manufacturing and information technologies make it possible to satisfy this demand. Traditional firms respond [...]

This paper investigates a two-factor affine model for the credit spreads on corporate bonds. The first factor can be interpreted as the level of the spread and the second factor [...]

This paper considers network supply chains with price dependent demand by modelling them as large acyclic networks. Such large networks are common in the automobile and apparel industries. We develop [...]

While research on the cost effectiveness of standardization to date has focused on the impact of different degrees of standardization, it has paid insufficient attention to the process an organization [...]

We consider the problem in which several products have to be shipped from a supplier to a set of retailers over an infinite time horizon. Each product is made available at the supplier and absorbed by each retailer at given constant production and consumption rates. For each product, the unit inventory cost at the supplier is equal to the unit inventory cost at the retailers. Shipments can be performed in each discrete time instant by a fleet of vehicles of given transportation capacity, and routing is allowed. The aim is to determine shipping policies that minimize the sum of transportation cost and inventory cost both at the supplier and at the retailers. We study direct shipping policies, i.e., policies in which each retailer is served independently. We show the worst-case performance of the best single, best double, best triple, best frequency-based, and optimal direct shipping policies. In each of these policies each link is optimized independently. We prove that, in the worst case, the ratio between the cost of the optimal direct shipping policy and the optimal cost of the problem in which routing is allowed--i.e., the worst-case performance bound of this policy--is not greater than two whenever the unit volume on each link is not lower than 1/4 of the vehicle capacity. Moreover, if the unit volume is not lower than the capacity, the bound is about 1.21. These bounds are tight and obtained by applying frequency-based policies that make use of at most three different shipping frequencies and cannot be improved by allowing more frequencies or using time-based policies on each link. Computational results show that the best among the frequency-based direct shipping policies used to obtain the worst-case results gives an average percent increase error, with respect to a lower bound on the optimal cost of the problem in which routing is allowed, of 6.44% on a large set of randomly generated problem instances. Key words: inventory routing; direct shipping routes; worst-case analysis; practical policies, 1. Introduction The integration of the supply chain is a key factor for the success of medium and large companies. Since the pioneering paper by Harris (1913), optimization models facing [...]

Traditional inventory models, with a few exceptions, do not account for the existence of inventory record inaccuracy (IRI), and those that do treat IRI as random. This study explores IRI observed both within and across product categories and retail stores. Examining nearly 370,000 inventory records from 37 stores of one retailer, we find 65% to be inaccurate. We characterize the distribution of IRI and show, using hierarchical linear modeling (HLM), that 26.4% of the total variance in IRI lies between product categories and that 2.7% lies between stores. We identify several factors that mitigate record inaccuracy, such as inventory auditing practices, and several factors that exacerbate record inaccuracy, such as the complexity of the store environment and the distribution structure. Collectively, these covariates explain 67.6% and 69.0% of the variance in IRI across stores and product categories, respectively. Our findings underscore the need to design processes to reduce the occurrence of IRI and highlight factors that can be incorporated into inventory planning tools developed to account for its presence. Key words: execution; information technology; inventory control; record inaccuracy; retail; supply chains, 1. Introduction Accurate inventory records are critical to the performance of retail organizations. U.S. retailers spend 1% of annual sales, approximately $30 billion per year, on automated decision support tools [...]

We study periodic-review inventory replenishment problems with fixed ordering costs, and show the optimality of (s, S) inventory replenishment policies. Inventory replenishment is instantaneous, i.e., the lead time is zero. We consider several sales mechanisms, e.g., auction mechanisms, name-your-own-price mechanisms, and multiple heterogeneous sales channels. We prove this result by showing that these models satisfy a recently-established sufficient condition for the optimality of (s, S) policies. Thus, this paper shows that the optimality of (s, S) policies extends well beyond the traditional sales environments studied so far in the inventory literature. Key words: (s, S) policies; stochastic inventory systems; fixed cost; auction; multiple sales channels, 1. Introduction In this paper, we study periodic-review inventory replenishment problems with fixed ordering costs when replenishment is instantaneous, i.e., the lead time is zero. In the classical literature on [...]

The article presents abstracts on management science-related research including the abstracts "Retail Store Density and the Cost of Greenhouse Gas Emissions" by Gérard P. Cachon, "Giving Feedback to Clients" by Teck-Hua Ho and Catherine Yeung, and "Information Content When Mutual Funds Deviate from Benchmarks" by Hao Jiang, Marno Verbeek, and Yu Wang.

The only therapy for a patient with end-stage liver disease (ESLD) is liver transplantation, which is performed by using either a cadaveric liver from a deceased donor or a portion of a living-donor's liver. This study addresses the following decision problem for an ESLD patient with an available living donor. Should she have a transplantation now or wait? If she decides to have the transplantation now, should she use her living-donor liver or a cadaveric liver for transplantation? We formulate this problem as a discrete-time, infinite-horizon Markov decision process model and solve it using clinical data. Because living donors are typically related to the recipient, we incorporate a disutility associated with using the living-donor liver as opposed to using a cadaveric liver. We perform a structural analysis of the model, including a set of intuitive conditions that ensure the existence of structured policies such as an at-most-three-region (AM3R) optimal policy. Our computational experiments confirm that the optimal policy is typically of AM3R type. Key words: medical decision making; Markov decision processes; control-limit policy; health-care applications; organ transplantation; service operations; optimal stopping; dynamic programming, 1. Introduction The only therapy for a patient with end-stage liver disease (ESLD) is liver transplantation, which is performed by using either a cadaveric liver from a deceased donor or [...]

This paper examines an economic theory of when employees become entrepreneurs. It jointly addresses the two fundamental questions of when employees generate innovations, and whether these innovations are developed as internal ventures or outside the firm. The model shows that if generating innovations distracts employees from their assigned tasks, firms may discourage innovation. Firms may reject profitable opportunities that fall outside of their core activities. If employees own the intellectual property (IP), they may leave to do a start-up. The allocation of IP rights also affects the generation of innovation. The external entrepreneurial environment is a complement to firm-internal innovation. If the external environment is particularly good, firms may embrace employee innovation and take advantage of it through spin-offs. Key words: entrepreneurship; innovation; intellectual property rights; strategic management; employment policy, 1. Introduction Where do entrepreneurs come from? Employees of established companies turn out to be one of the most important sources for entrepreneurship. The semiconductor industry, for example, has an [...]

The article offers information on how to submit articles for the special issue on blockchains and cryptocurrency economics as of January 2021.

Abstracts are presented of articles published in this issue including "A Meta-Analysis of Multibrand, Multioutlet Channel Systems," "Unpacking the Future: A Nudge Toward Wider Subjective Confidence Intervals" and "Insiders' Sales Under Rule 10b5-1 Plans & Meeting or Beating Earnings Expectations."

In the United States, end-stage liver disease patients join a waiting list and then make accept/reject decisions for transplantation as deceased-donor organs are offered to them over time. These decisions are largely influenced by the patient's prospect for future offers, which can be ascertained most accurately by knowing the entire composition of the waiting list. Under the current transplantation system, however, the United Network for Organ Sharing (UNOS), in an effort to strike a balance between privacy and transparency, only publishes an aggregated version of the waiting list. However, it is not clear whether the published information is good enough (compared with perfect information) to help patients make optimal decisions that maximize their individual life expectancies. We provide a novel model of this accept/reject problem from an individual patient's perspective using a partially observed Markov decision process (POMDP) framework, which incorporates the imperfect waiting list information as published currently into the patient's decision making. We analyze structural properties of this model. In particular, we establish conditions that guarantee a monotone value function and a threshold-type optimal policy with respect to the partially observable rank state that captures the imperfect waiting list information. Furthermore, we develop an improved solution methodology to solve a generic POMDP model. This solution method guarantees, for any fixed grid, the best possible approximation to the optimal value function by solving linear programs to compute the optimal weights used for the approximation. Finally, we compare, in a clinically driven numerical study, the results of this model with those of an existing Markov decision process model that differs from our model in assuming the availability of perfect waiting list information. This comparison allows us to assess the quality of the published imperfect information as measured by a patient's so-called price of privacy (i.e., the opportunity loss in expected life days due to a lack of perfect waiting list information). Previous work estimates a significant loss in a patient's life expectancy, on average, when the patient has no waiting list information compared with full information. In this paper, we find that the currently published partial information is nearly sufficient to eliminate this loss, resulting in a negligible price of privacy and supporting current UNOS practice [ABSTRACT FROM AUTHOR]

In this paper we focus on robust linear optimization problems with uncertainty regions defined by φ-divergences (for example, chi-squared, Hellinger, Kullback-Leibler). We show how uncertainty regions based on φ-divergences arise in a natural way as confidence sets if the uncertain parameters contain elements of a probability vector. Such problems frequently occur in, for example, optimization problems in inventory control or finance that involve terms containing moments of random variables, expected utility, etc. We show that the robust counterpart of a linear optimization problem with φ -divergence uncertainty is tractable for most of the choices of φ typically considered in the literature. We extend the results to problems that are nonlinear in the optimization variables. Several applications, including an asset pricing example and a numerical multi-item newsvendor example, illustrate the relevance of the proposed approach. [ABSTRACT FROM AUTHOR]

In diagnostic services, agents typically need to weigh the benefit of running an additional test and improving the accuracy of diagnosis against the cost of delaying the provision of services to others. Our paper analyzes how to dynamically manage this accuracy/congestion trade-off. To that end, we study an elementary congested system facing an arriving stream of customers. The diagnostic process consists of a search problem in which the service provider conducts a sequence of imperfect tests to determine the customer's type. We find that the agent should continue to perform the diagnosis as long as her current belief that the customer is of a given type falls into an interval that depends on the congestion level as well as the number of performed tests thus far. This search interval should shrink as congestion intensifies and as the number of performed tests increases if additional conditions hold. Our study reveals that, contrary to diagnostic services without congestion, the base rate (i.e., the prior probability of the customer type) has an effect on the agent's search strategy. In particular, the optimal search interval shrinks when customer types are more ambiguous a priori, i.e., as the base rate approaches the value at which the agent is indifferent between types. Finally, because of congestion effects, the agent should sometimes diagnose the customer as being of a given type, even if test results indicate otherwise. All these insights disappear in the absence of congestion. Key words: service operations; queueing theory; dynamic programming [ABSTRACT FROM AUTHOR]

We consider dynamic pricing competition between two firms offering vertically differentiated products to strategic customers who are intertemporal utility maximizers. We show that price skimming arises as the unique pure-strategy Markov perfect equilibrium in the game under a simple condition. Our results highlight the asymmetric effect of strategic customer behavior on quality-differentiated firms. Even though the profit of either firm decreases as customers become more strategic, the low-quality firm suffers substantially more than the high-quality firm. Furthermore, we show that unilateral commitment to static pricing by either firm generally improves profits of both firms. Interestingly, both firms enjoy higher profit lifts when the high-quality firm commits rather than when the low-quality firm commits. [ABSTRACT FROM AUTHOR]

Portfolio optimization problems involving value at risk (VaR) are often computationally intractable and require complete information about the return distribution of the portfolio constituents, which is rarely available in practice. These difficulties are compounded when the portfolio contains derivatives. We develop two tractable conservative approximations for the VaR of a derivative portfolio by evaluating the worst-case VaR over all return distributions of the derivative underliers with given first- and second-order moments. The derivative returns are modelled as convex piecewise linear or--by using a delta-gamma approximation--as (possibly nonconvex) quadratic functions of the returns of the derivative underliers. These models lead to new worst-case polyhedral VaR (WPVaR) and worst-case quadratic VaR (WQVaR) approximations, respectively. WPVaR serves as a VaR approximation for portfolios containing long positions in European options expiring at the end of the investment horizon, whereas WQVaR is suitable for portfolios containing long and/or short positions in European and/or exotic options expiring beyond the investment horizon. We prove that--unlike VaR that may discourage diversification--WPVaR and WQVaR are in fact coherent risk measures. We also reveal connections to robust portfolio optimization. [ABSTRACT FROM AUTHOR]

During development of an innovative product there is often considerable uncertainty about component production cost, and it is of interest for both the manufacturer and the supplier to engage in a collaborative effort to reduce this uncertainty and lower the expected cost. Despite the obvious benefits this brings, the supplier may be reluctant to collaborate as he fears revealing his proprietary cost information. We investigate how information asymmetry and procurement contracting strategies interact to influence the supply chain parties' incentives to collaborate. We consider a number of procurement contracting strategies, and identify a simple strategy, expected margin commitment (EMC), that effectively promotes collaboration. The manufacturer prefers EMC if collaboration leads to a large reduction in unit cost and/or demand variability is low. Otherwise, a screening contract based on price and quantity is preferred. We also find that, paradoxically, ex post efforts to enhance supply chain efficiency may hinder ex ante collaboration that precedes production. [ABSTRACT FROM AUTHOR]

This paper derives and tests an intertemporal capital asset pricing model (ICAPM) based on a conditional version of the Campbell-Vuolteenaho two-beta ICAPM (bad beta, good beta (BBGB)). The novel factor is a scaled cash-flow factor that results from the interaction between cash-flow news and a lagged state variable (market dividend yield or consumer price index inflation). The cross-sectional tests over 10 portfolios sorted on size, 10 portfolios sorted on book-to-market, and 10 portfolios sorted on momentum show that the scaled ICAPM explains relatively well the dispersion in excess returns on the 30 portfolios. The results for an alternative set of equity portfolios (25 portfolios sorted on size and momentum) show that the scaled ICAPM prices particularly well the momentum portfolios. Moreover, the scaled ICAPM compares favorably with alternative asset pricing models in pricing both sets of equity portfolios. The scaled factor is decisive to account for the dispersion in average excess returns between past winner and past loser stocks. More specifically, past winners are riskier than past losers in times of high price of risk. Therefore, a time-varying cash-flow beta/price of risk provides a rational explanation for momentum. [ABSTRACT FROM AUTHOR]

We extend the persuasion game to bring it squarely into the economics of advertising. We model advertising as exciting consumer interest into learning more about the product, and determine a firm's equilibrium choice of advertising content over quality information, price information, and horizontal match information. Equilibrium is unique whenever advertising is necessary. The outcome is a separating equilibrium with quality unravelling. Lower-quality firms need to provide more information. For a given quality level, as a function of consumer visit costs, first quality information is disclosed, then price information and then horizontal product information are added to the advertising mix. Some suggestive evidence is provided from airline ads in newspapers. [ABSTRACT FROM AUTHOR]

We propose a pure 0-1 formulation for the wireless network design problem, i.e., the problem of configuring a set of transmitters to provide service coverage to a set of receivers. In contrast with classical mixed-integer formulations, where power emissions are represented by continuous variables, we consider only a finite set of power values. This has two major advantages: it better fits the usual practice and eliminates the sources of numerical problems that heavily affect continuous models. A crucial ingredient of our approach is an effective basic formulation for the single knapsack problem representing the coverage condition of a receiver. This formulation is based on the generalized upper bound (GUB) cover inequalities introduced by Wolsey [Wolsey L (1990) Valid inequalities for 0-1 knapsacks and mips with generalised upper bound constraints. Discrete Appl. Math. 29(2-3):251-261]; and its core is an extension of the exact formulation of the GUB knapsack polytope with two GUB constraints. This special case corresponds to the very common practical situation where only one major interferer is present. We assess the effectiveness of our formulation by comprehensive computational results over realistic instances of two typical technologies, namely, WiMAX and DVB-T. [ABSTRACT FROM AUTHOR]

We examine whether ownership of intellectual property rights (IPR) or downstream capabilities is effective in encouraging entry into markets complementary to a proprietary platform by preventing the platform owner from expropriating rents from start-ups. We study this question in the context of the software industry, an environment where evidence of the efficacy of IPR as a mechanism to appropriate the returns from innovation has been mixed. Entry, in our context, is measured by an independent software vendor's (ISV's) decision to become certified by a platform owner and produce applications compatible with the platform. We find that ISVs with a greater stock of formal IPR (such as patents and copyrights), and those with stronger downstream capabilities (as measured by trademarks and consulting services) are more likely to join the platform, suggesting that these mechanisms are effective in protecting ISVs from the threat of expropriation. We also find that the effects of IPR on the likelihood of partnership are greater when an ISV has weak downstream capabilities or when the threat of imitation is greater, such as when the markets served by the ISV are growing quickly. [ABSTRACT FROM AUTHOR]

Areal-effort experiment is investigated in which supervisors have to rate the performance of individual workers who in turn receive a bonus payment based on these ratings. We compare a baseline treatment in which supervisors are not restricted in their rating behavior to a forced distribution system in which they have to assign differentiated grades. We find that productivity is significantly higher under a forced distribution by about 6% to 12%. However, the productivity effects are less clear cut when participants have prior experience with the baseline condition. Moreover, a forced distribution becomes detrimental when workers have access to a simple option to sabotage each other. [ABSTRACT FROM AUTHOR]

Affirmative action is often criticized for causing reverse discrimination and lowering the qualifications of those hired under the policy. However, the magnitude of such adverse effects depends on whether the best suited candidate is hired absent the policy. Indeed affirmative action may compensate for the distortion discrimination imposes on the selection of candidates. This paper asks whether affirmative action can have a similar corrective impact when qualified individuals fail to apply for a job. We evaluate the effect of introducing a gender quota in an environment where high-performing women fail to enter competitions they can win. We show that guaranteeing women equal representation among winners increases their entry. The response exceeds that predicted by the change in probability of winning and is in part driven by women being more willing to compete against other women. The consequences are substantial as the boost in supply essentially eliminates the anticipated costs of the policy. [ABSTRACT FROM AUTHOR]

Building on previous research in economics and psychology, we propose that the costliness of initial prosocial behavior positively influences whether that behavior leads to consistent future behaviors. We suggest that costly prosocial behaviors serve as a signal of prosocial identity and that people subsequently behave in line with that self-perception. In contrast, costless prosocial acts do not signal much about one's prosocial identity,so subsequent behavior is less likely to be consistent and may even show the reductions in prosocial behavior associated with licensing. The results of a laboratory experiment and a large field experiment converge to support our account. [ABSTRACT FROM AUTHOR]

Numerous theoretical predictions such as precautionary saving or preventive behavior have been derived for prudent decision makers. Further, prudence can be characterized as downside risk aversion and plays a key role in preference for skewness. We use a simple experimental method to test for prudence and skewness preference in the laboratory and compare the two. To this end, we introduce a novel graphical representation of compound lotteries that is easily accessible to subjects and test it for robustness, using a factorial design. Prudence is observed on the aggregate and individual level. We find that prudence does not boil down to skewness seeking. We further provide some theoretical explanations for this result. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the integrated information and pricing strategy for a seller who can take customer preorders before the release of a product. The preorder option enables the seller to sell a product at an early stage when consumers are less certain about their valuations. We find that the optimal pricing strategy may be highly dependent on the amount of information available at preorder and that a small change in the latter may cause a dramatic change in the proportion of consumers who preorder under optimal pricing. Furthermore, the seller's optimal information strategy depends on a key measure, the normalized margin, which is the ratio between the expected profit margin and the standard deviation of consumer valuation. Although the seller may want to release some information or none, she should never release all information. Finally, under the optimal information and pricing strategy, the benefit of preorder is most pronounced when the normalized margin is in a medium range. [ABSTRACT FROM AUTHOR]

We study competitive positioning and pricing strategies in markets where consumers seek variety. Variety seeking behavior is modeled as a decrease in the willingness to pay for the product purchased on the previous purchase occasion. Using a three-stage Hotelling-type model, we show that the presence of variety seeking consumers reduces product differentiation offered in equilibrium, thereby explaining some otherwise counterintuitive findings in empirical research. We find that firms charge higher prices in Period 1 and lower prices in Period 2. The lower price in Period 2 represents the price incentive that firms need to offer to prevent the variety seeking consumers from switching. Furthermore, we find that the observed switching in a market may not fully capture the true magnitude of the underlying variety seeking tendencies among consumers. Finally, we show that the presence of variety seeking consumers leads to lower firm profits and a higher consumer surplus. Surplus increases for variety seeking consumers as well as regular consumers. Therefore, the presence of variety seeking consumers benefits everyone in the market. [ABSTRACT FROM AUTHOR]

The article presents abstracts on management topics which include customer behavior in an online banking channel, optimal pricing with strategic consumers, and whether or not inventors are sources of breakthroughs.

Models and understanding of line design depend on accurate assessments of the effects of design parameters on human actions. Although equity theory predicts that workers will react to the speed of people around them, experimental work has failed to find this effect in an industrial setting with parallel workstations or a change in coworkers. With the current research we contribute to the understanding of line design by using archival data from a manufacturing line. We show that workers do react to the speed of their coworkers, but that individual reactions vary widely. Because workers are different both in speed and reaction, managerial implications are not straightforward. We model an optimal and a heuristic rearrangement of workers and suggest a modified heuristic that performs well for increasing throughput. Our methodology combines empirical approaches, analytical modeling, and Monte Carlo simulation. [ABSTRACT FROM AUTHOR]

This paper uses the context of online banking to investigate the consequences of using self-service distribution channels to alter customer interactions with the firm. Using a sample of retail banking customers observed over a 30-month period at a large U.S. bank, we test whether changes in service consumption, cost to serve, and customer profitability are associated with the adoption of online banking. We find that customer adoption of online banking is associated with (1) substitution, primarily from incrementally more costly self-service delivery channels (automated teller machine and voice response unit); (2) augmentation of service consumption in more costly service delivery channels (branch and call center); (3) a substantial increase in total transaction volume; (4) an increase in estimated average cost to serve resulting from the combination of points (1)-(3); and (5) a reduction in short-term customer profitability. However, we find that use of the online banking channel is associated with higher customer retention rates over one-, two-, and three-year horizons. The documented relationship between the use of online banking and customer retention remains positive even after controlling for self-selection into the online channel. We also find evidence that future market shares for our sample firm are systematically higher in markets with high contemporaneous utilization rates for the online banking channel. This finding holds even after controlling for contemporaneous market share, suggesting it is not simply the result of increased market power leading to the acquisition of online banking customers. [ABSTRACT FROM AUTHOR]

We extend the concept of first-mover advantage to the context of high-technology industries with multiple product generations, and propose that the notion of first-mover advantage needs to be viewed not only through a dynamic lens, but also in conjunction with technological capability. Our main finding is that first-mover advantages are best understood in tandem with the firm's technological capabilities; early entry is beneficial only for pioneers that are technically strong. However, pioneers that are low on technological capabilities suffer from poor survival rates vis-à-vis market responders or nonentrants into new product generations. [ABSTRACT FROM AUTHOR]

We use simulations to study how the diversification of electricity generation portfolios influences wholesale prices. We find that the relationship between technological diversification and market prices is mediated by the supply-to-demand ratio. In each demand case there is a threshold where pivotal dynamics change. Pivotal dynamics pre- and post-threshold are the cause of nonlinearities in the influence of diversification on market prices. The findings are robust to changes in the main market assumptions. [ABSTRACT FROM AUTHOR]

This paper utilizes an understudied but often utilized aspect of initial public offerings (IPOs), secondary shares, to examine whether the knowledge conditions of firms give rise to agency problems that limit the ability of founders and venture capitalists to sell equity at IPO. In an analysis of 2,190 IPOs spanning from 1992 through 2002, we find that private owners are less likely to be observed selling their equity at IPO in ventures that are highly dependent on technical specialized knowledge as measured by the count of individuals with Ph.D.s in the top management team and board of directors. However, we find that this limit on the financial liquidity of founders and venture capitalists is alleviated when the venture's output has received greater market acceptance. Hence, the findings suggest that the financial liquidity of individuals involved in entrepreneurship is likely to be influenced by the knowledge conditions of their venture. [ABSTRACT FROM AUTHOR]

The article reports on cause-related product marketing. A duopoly research model of competition between firms with two products that are cause-related was used in order to determine which product firms will link to a cause. The benefits of cause marketing to consumers as well as other products in a firm's portfolio is explored through two laboratory experiments as well as a constructed game where firms choose products to place on cause marketing only if the price of the product can be increased.

Prior literature has documented the performance benefits from the use of electronic data interchange (EDI) and the Internet. Using purchase and fulfillment records from the U.S. government's Federal Supply Service, we provide a direct comparison of performance between a private network EDI channel and an Internet electronic market. Performance is measured using order cycle time and complete orders fulfilled. Our findings show that the Internet-based electronic market outperforms the EDI-based channel on these two important measures. Order cycle times were significantly lower when using the Internet-based electronic market, whereas the percentage of complete shipments was significantly higher after controlling for product, transaction, seller, and buyer-specific factors. The electronic market even outperforms the EDI channel when buyer and transaction characteristics favor the use of EDI. Because EDI is still prevalent in many industries, these results point to the gains that may be realized by switching to the newer technology. [ABSTRACT FROM AUTHOR]

Prospect theory is currently the main descriptive theory of decision under uncertainty. It generalizes expected utility by introducing nonlinear decision weighting and loss aversion. A difficulty in the study of multiattribute utility under prospect theory is to determine when an attribute yields a gain or a loss. One possibility, adopted in the theoretical literature on multiattribute utility under prospect theory, is to assume that a decision maker determines whether the complete outcome is a gain or a loss. In this holistic evaluation, decision weighting and loss aversion are general and attribute-independent. Another possibility, more common in the empirical literature, is to assume that a decision maker has a reference point for each attribute. We give preference foundations for this attribute-specific evaluation where decision weighting and loss aversion are depending on the attributes. [ABSTRACT FROM AUTHOR]

A criticism of mechanism design theory is that the optimal mechanism designed for one environment can produce drastically different actions, outcomes, and payoffs in a second, even slightly different, environment. In this sense, the theoretically optimal mechanisms usually studied are not "robust." To study robust mechanisms while maintaining an expected utility maximization approach, we study a multiagent model in which the mechanism must be designed before the environment is as well understood as is usually assumed. The particular model is of an auction setting with binary private values. Our main result is that if the prior belief about the correlation in the agents' values is diffuse enough, the optimal Bayesian-Nash auction must also satisfy dominant strategy incentive constraints. Furthermore, when the optimal auction does provide dominant strategy incentives, it takes one of two forms: (i) if perfect correlation and negative correlation are excluded as possibilities, the auction incorporates all information about the prior belief over the possible correlations, and (ii) if either perfect correlation or negative correlation is a possibility, the auction does not incorporate any correlation information and can be described as a modified Vickrey auction. [ABSTRACT FROM AUTHOR]

Improved classification performance has practical real-world benefits ranging from improved effectiveness in detecting diseases to increased efficiency in identifying firms that are committing financial fraud. Multiclassifier combination (MCC) aims to improve classification performance by combining the decisions of multiple individual classifiers. In this paper, we present information market-based fusion (IMF), a novel multiclassifier combiner method for decision fusion that is based on information markets. In IMF, the individual classifiers are implemented as participants in an information market where they place bets on different object classes. The reciprocals of the market odds that minimize the difference between the total betting amount and the potential payouts for different classes represent the MCC probability estimates of each class being the true object class. By using a market-based approach, IMF can adjust to changes in base-classifier performance without requiring offline training data or a static ensemble composition. Experimental results show that when the true classes of objects are only revealed for objects classified as positive, for low positive ratios, IMF outperforms three benchmarks combiner methods, majority, average, and weighted average; for high positive ratios, IMF outperforms majority and performs on par with average and weighted average. When the true classes of all objects are revealed, IMF outperforms weighted average and majority and marginally outperforms average. [ABSTRACT FROM AUTHOR]

We provide a general framework for finding portfolios that perform well out-of-sample in the presence of estimation error. This framework relies on solving the traditional minimum-variance problem but subject to the additional constraint that the norm of the portfolio-weight vector be smaller than a given threshold. We show that our framework nests as special cases the shrinkage approaches of Jagannathan and Ma (Jagannathan, R., T. Ma. 2003. Risk reduction in large portfolios: Why imposing the wrong constraints helps. J. Finance 58 1651--1684) and Ledoit and Wolf (Ledoit, O., M. Wolf. 2003. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection. J. Empirical Finance 10 603--621, and Ledoit, O., M. Wolf. 2004. A well-conditioned estimator for large-dimensional covariance matrices. J. Multivariate Anal. 88 365--411) and the 1/N portfolio studied in DeMiguel et al. (DeMiguel, V., L. Garlappi, R. Uppal. 2009. Optimal versus naive diversification: How inefficient is the 1/N portfolio strategy? Rev. Financial Stud. 22 1915--1953). We also use our framework to propose several new portfolio strategies. For the proposed portfolios, we provide a moment-shrinkage interpretation and a Bayesian interpretation where the investor has a prior belief on portfolio weights rather than on moments of asset returns. Finally, we compare empirically the out-of-sample performance of the new portfolios we propose to 10 strategies in the literature across five data sets.We find that the norm-constrained portfolios often have a higher Sharpe ratio than the portfolio strategies in Jagannathan and Ma (2003), Ledoit and Wolf (2003, 2004), the 1/N portfolio, and other strategies in the literature, such as factor portfolios. [ABSTRACT FROM AUTHOR]

We examine the procurement process selection problem of a large industrial buyer who employs reverse auctions for awarding procurement contracts. We contrast two classes of commonly used strategies under multiple sourcing; namely, single-stage reverse auctions, and two-stage processes where price-quantity adjustments between the buyer and the suppliers follow a first-stage reverse auction. Deriving bounds of efficiency for these two classes of procurement processes under convex supplier production costs, we present insights on the conditions under which each class is preferable for the buyer. Considering the effect of contracting and processing costs, a single-stage process is likely to be preferable to a two-stage process when the number of bidding suppliers is high, especially when capacity is rigid. A two-stage process with one information transfer in the second stage may be the preferred procurement mode when production is highly scalable, i.e., when the marginal production cost increase with increased production is small. When the number of suppliers is low, the effect of a decrease in production scalability depends on the current scalability level. For high scalability levels, a decrease in production scalability may decrease the efficiency of both single-stage and simple two-stage processes, whereas for low scalability levels, it tends to increase efficiency for both of these process classes. A decrease in production costs makes employing simple processes more attractive when production is highly scalable or when supplier capacity is rigid. For intermediate production scalability, however, a cost decrease may make employing two-stage processes with multiple information transfers in the second round preferable for the buyer. [ABSTRACT FROM AUTHOR]

Prior research provides only weak and controversial evidence that people overestimate the likelihood of desirable events (wishful thinking), but strong evidence that people bet more heavily on those events (wishful betting). Two experiments show that wishful betting contaminates beliefs in laboratory financial markets because wishful betters appear to possess more favorable information than they actually do. As a consequence, market interaction exacerbates rather than mitigates wishful thinking. This phenomenon, "contagion of wishful thinking," could be problematic in many settings where people infer others' beliefs from their behavior. [ABSTRACT FROM AUTHOR]

We develop and test an optimization model for maximizing response rates for online marketing research survey panels. The model consists of (1) a decision tree predictive model that classifies panelists into "states" and forecasts the response rate for panelists in each state and (2) a linear program that specifies how many panelists should be solicited from each state to maximize response rate. The model is forward looking in that it optimizes over a finite horizon during which S studies are to be fielded. It takes into account the desired number of responses for each study, the likely migration pattern of panelists between states as they are invited and respond or do not respond, as well as demographic requirements. The model is implemented using a rolling horizon whereby the optimal solution for S successive studies is derived and implemented for the first study. Then, as results are observed, an optimal solution is derived for the next S studies, and the solution is implemented for the first of these studies, etc. The procedure is field tested and shown to increase response rates significantly compared to the heuristic currently being used by panel management. Further analysis suggests that the improvement was due to the predictive model and that a "greedy algorithm" would have done equally well in the field test. However, further Monte Carlo simulations suggest circumstances under which the model would outperform the greedy algorithm. [ABSTRACT FROM AUTHOR]

This paper studies the role of product availability in attracting consumer demand. We start with a newsvendor model, but additionally assume that stockouts are costly to consumers. The seller sets an observable price and an unobservable stocking quantity. Consumers anticipate the likelihood of stockouts and determine whether to visit the seller. We characterize the rational expectations equilibrium in this game. We propose two strategies that the seller can use to improve profits: (i) commitment (i.e., the seller, ex ante, commits to a particular quantity) and (ii) availability guarantees (i.e., the seller promises to compensate consumers, ex post, if the product is out of stock). Interestingly, the seller has an incentive to overcompensate consumers during stockouts, relative to the first-best benchmark under which social welfare is maximized. We find that first-best outcomes do not arise in equilibrium, but can be supported when the seller uses a combination of commitment and availability guarantees. Finally, we examine the robustness of these conclusions by extending our analysis to incorporate dynamic learning, multiple products, and consumer heterogeneity. [ABSTRACT FROM AUTHOR]

This paper examines the effect of recommender systems on the diversity of sales. Two anecdotal views exist about such effects. Some believe recommenders help consumers discover new products and thus increase sales diversity. Others believe recommenders only reinforce the popularity of already-popular products. This paper seeks to reconcile these seemingly incompatible views. We explore the question in two ways. First, modeling recommender systems analytically allows us to explore their path-dependent effects. Second, turning to simulation, we increase the realism of our results by combining choice models with actual implementations of recommender systems. We arrive at three main results. First, some well-known recommenders can lead to a reduction in sales diversity. Because common recommenders (e.g., collaborative filters) recommend products based on sales and ratings, they cannot recommend products with limited historical data, even if they would be rated favorably. In turn, these recommenders can create a rich-get-richer effect for popular products and vice versa for unpopular ones. This bias toward popularity can prevent what may otherwise be better consumer-product matches. That diversity can decrease is surprising to consumers who express that recommendations have helped them discover new products. In line with this, result two shows that it is possible for individual-level diversity to increase but aggregate diversity to decrease. Recommenders can push each person to new products, but they often push users toward the same products. Third, we show how basic design choices affect the outcome, and thus managers can choose recommender designs that are more consistent with their sales goals and consumers' preferences. [ABSTRACT FROM AUTHOR]

The article presents abstracts on management science topics which include the number of stock option grants given to top executives that have been backdated or otherwise manipulated, market intelligence strategy during scarce management attention, and dynamic cost reduction with process improvement.

Scoring rules can provide incentives for truthful reporting of probabilities and evaluation measures for the probabilities after the events of interest are observed. Often the space of events is ordered and an evaluation relative to some baseline distribution is desired. Scoring rules typically studied in the literature and used in practice do not take account of any ordering of events, and they evaluate probabilities relative to a default baseline distribution. In this paper, we construct rich families of scoring rules that are strictly proper (thereby encouraging truthful reporting), are sensitive to distance (thereby taking into account ordering of events), and incorporate a baseline distribution relative to which the value of a forecast is measured. In particular, we extend the power and pseudospherical families of scoring rules to allow for sensitivity to distance, with or without a specified baseline distribution. [ABSTRACT FROM AUTHOR]

Given a discrete maximization problem with a linear objective function where the coefficients are chosen randomly from a distribution, we would like to evaluate the expected optimal value and the marginal distribution of the optimal solution. We call this the persistency problem for a discrete optimization problem under uncertain objective, and the marginal probability mass function of the optimal solution is named the persistence value. In general, this is a difficult problem to solve, even if the distribution of the objective coefficient is well specified. In this paper, we solve a subclass of this problem when the distribution is assumed to belong to the class of distributions defined by given marginal distributions, or given marginal moment conditions. Under this model, we show that the persistency problem maximizing the expected objective value over the set of distributions can be solved via a concave maximization model. The persistency model solved using this formulation can be used to obtain important qualitative insights to the behavior of stochastic discrete optimization problems. We demonstrate how the approach can be used to obtain insights to problems in discrete choice modeling. Using a set of survey data from a transport choice modeling study, we calibrate the random utility model with choice probabilities obtained from the persistency model. Numerical results suggest that our persistency model is capable of obtaining estimates that perform as well, if not better, than classical methods, such as logit and cross-nested logit models. We can also use the persistency model to obtain choice probability estimates for more complex choice problems. We illustrate this on a stochastic knapsack problem, which is essentially a discrete choice problem under budget constraint. [ABSTRACT FROM AUTHOR]