Pricing and Logistics Decisions for a Private‐Sector Provider in the Cash Supply Chain

We study a problem faced by a secure‐logistics provider (SLP) of maximizing profit by jointly pricing the services of fit‐sorting and transporting cash along with the design of the supporting logistics network, in a market consisting of a population of Depository Institutions (DIs). The need to jointly price the services assumes significance because they are partial substitutes of one another. Our study finds that the influence of the logistics network on prices is especially strong when there are non‐linearities in the cost of provisioning the logistics services. Furthermore, the impact of logistics decisions on different types of pricing schemes (e.g., volume discount, bundled pricing) is different, both in its structure and extent. In present times, when the market for the fit‐sorting service is relatively immature, our findings have major implications to the way an SLP's business is managed.     

A Framework to Analyze Cash Supply Chains

The Federal Reserve System of the United States is making changes to its cash recirculation policy to reduce depository institutions' (banks') overuse of its cash processing services. These changes will affect operating policies and costs at many institutions having large cash businesses and, in turn, impact cash transportation and logistics providers. This study provides the framework to study the cash supply chain structure and analyzes it as a closed‐loop supply chain. Additionally, it describes the cash flow management system used by banks in the U.S.     

Why Competition from a Multi‐Channel E‐Tailer Does Not Always Benefit Consumers*

Empirical studies have delivered mixed conclusions on whether the widely acclaimed assertions of lower electronic retail (e‐tail) prices are true and to what extent these prices impact conventional retail prices, profits, and consumer welfare. For goods that require little in‐person pre‐ or postsales support such as CDs, DVDs, and books, we extend Balasubramanian's e‐tailer‐in‐the‐center, spatial, circular market model to examine the impact of a multichannel e‐tailer's presence on retailers' decisions to relocate, on retail prices and profits, and consumer welfare. We demonstrate several counter‐intuitive results. For example, when the disutility of buying online and shipping costs are relatively low, retailers are better off by not relocating in response to an e‐tailer's entry into the retail channel. In addition, such an entry—a multichannel strategy—may lead to increased retail prices and increased profits across the industry. Finally, consumers can be better off with less channel competition. The underlying message is that inferences regarding prices, profits, and consumer welfare critically depend on specifications of the good, disutility and shipping costs versus transportation costs (or more generally, positioning), and competition.     

Managing Logistics in Regional Banknote Supply Chain Under Security Concerns

We study the logistics problem faced by Regional Branches (RBs) of a central bank in managing the currency supply under security concerns. While making banknote supply decisions to Sub‐Branches (SBs), the management of RB must achieve two goals simultaneously: (i) guarantee that each SB has sufficient inventories of all denominations of banknotes to satisfy the demands from all commercial banks within its service area, and (ii) control the annual spending on this banknote supply operation. Due to security concerns, the following methods are implemented in the process of transporting banknotes: (i) the capacity of a cash truck is limited by the total face value (instead of the physical space) of banknotes, and (ii) empty decoy trucks are deployed along with the trucks filled with banknotes. After deriving a polynomial‐time strategy to guarantee an optimal solution for the special Bin‐Packing Problem faced in this study, we provide an exact formulation for the RB's supply planning problem. We also propose several polynomial‐time algorithms for deriving either optimal or near‐optimal solutions for the problem under different settings. Using the weekly demand data obtained from the central bank, we verify the performance of our algorithms, and analyze the impacts of changes in these features and in the fleet capacity on the total cost incurred by an RB under various scenarios.     

基于现金闭环供应链中重复调运问题的协调机制研究

本文针对当前中国银行业现金物流管理中存在的高成本、低效率的重复调运问题，研究具有线性与非线性特征的两类罚款协调机制对商业银行现金清分策略的影响。为了衡量和比较协调机制的影响效果，分别构建了中国人民银行(中央银行)和商业银行总成本最优的联合决策模型以及商业银行成本最优的分散决策模型，分析了两类协调机制对商业银行清分决策的影响。研究结果表明：线性罚款机制不能激励商业银行选择联合决策下的最优清分率，无法实现降低现金闭环供应链总成本的协调目标；非线性罚款机制能够激励商业银行选择联合决策下的最优清分率，并在减少重复调运方面兼具约束与激励双重协调效果。     

EQUIVALENCE RESULTS FOR OPTIMAL PASS‐THROUGH,OPTIMAL INDEXING TO EXCHANGE RATES,AND OPTIMAL CHOICE OF CURRENCY FOR EXPORT PRICING

Firms sometimes write price lists or catalogs for their exports, so they set prices for a period of time and do not adjust prices during that interval in response to changes in their environment. The firm sets the price either in its own currency or the importer's currency. This paper draws a simple link between the choice of currency and the pricing decision of a firm that changes prices in response to all shocks. Specifically, if the latter firm's price has a lower variance in terms of its own currency than the importer's currency, then the firm with a price list will set the price in its own currency (and otherwise it will set price in the foreign currency). This relationship is established by consideration of the firm with a price list as a special case of a firm that indexes its export price to the exchange rate. (JEL: F4, F1)     

A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging

In chemical and microbial risk assessments, risk assessors fit dose‐response models to high‐dose data and extrapolate downward to risk levels in the range of 1–10%. Although multiple dose‐response models may be able to fit the data adequately in the experimental range, the estimated effective dose (ED) corresponding to an extremely small risk can be substantially different from model to model. In this respect, model averaging (MA) provides more robustness than a single dose‐response model in the point and interval estimation of an ED. In MA, accounting for both data uncertainty and model uncertainty is crucial, but addressing model uncertainty is not achieved simply by increasing the number of models in a model space. A plausible set of models for MA can be characterized by goodness of fit and diversity surrounding the truth. We propose a diversity index (DI) to balance between these two characteristics in model space selection. It addresses a collective property of a model space rather than individual performance of each model. Tuning parameters in the DI control the size of the model space for MA.     

Shelf Loathing: Cross Docking at an Online Retailer

Online customers expect to wait, sometimes for a delay of many days. At the fulfillment center, there might be an opportunity to fill customer orders earlier than the due date through a cross‐docking transaction: rather than picking the item from inventory, the item moves directly from the receiving to the shipping dock, saving shelving and picking transactions. While cross docking reduces shelving and picking costs, it risks changing customer expectations for how soon a product will be delivered. Given customer order arrivals random in quantity and due dates, random replenishment arrivals, and costs (or benefits) for shipping a product early, we characterize the optimal decision as to whether to cross dock a replenishment item to fulfill demand that is not immediately due or to wait to (hopefully) cross dock in later periods. With multiple demands and due dates, the cross‐docking decision depends on the number of unfulfilled demands in each period across the horizon, the number of units that have just arrived (available for cross docking), picking and shelving costs, and the delay cost (or benefit). We formulate the problem as a Markov decision process, determine the structure of the optimal policy, and propose a well‐performing heuristic.     

Dedicated Transportation Subnetworks: Design,Analysis, and Insights

A dedicated subnetwork (DSN) refers to a subset of lanes, with associated loads, in a shipper's transportation network, for which resources—trucks, drivers, and other equipment—are exclusively assigned to accomplish shipping requirements. The resources assigned to a DSN are not shared with the rest of the shipper's network. Thus, a DSN is an autonomously operated subnetwork and, hence, can be subcontracted. We address a novel problem of extracting a DSN for outsourcing to one or more subcontractors, with the objective of maximizing the shipper's savings. In their pure form, the defining conditions of a DSN are often too restrictive to enable the extraction of a sizable subnetwork. We consider two notions—deadheading and lane‐sharing—that aid in improving the size of the DSN. We show that all the optimization problems involved are both strongly NP‐hard and APX‐hard, and demonstrate several polynomially solvable special cases arising from topological properties of the network and parametric relationships. Next, we develop a network‐flow‐based heuristic that provides near‐optimal solutions to practical instances in reasonable time. Finally, using a test bed based on data obtained from a national 3PL company, we demonstrate the substantial monetary impact of subcontracting a DSN and offer useful managerial insights.     

Supervising Professional Work under New Public Management: Evidence from an ‘Invisible Trade’

This paper assesses the extent to which the new public management (NPM) project has succeeded in replacing the custodial mode of professional work supervision with a more bureaucratic approach. The paper conceptualizes the key components of each mode within two ideal types of professional work supervision. It then draws on findings from a study of local‐authority social service departments to consider current arrangements against these ideal type configurations. The findings demonstrate that elements of the bureaucratic mode have emerged unevenly. So far, they have not displaced the emphasis that the supervisors of professional work place on protecting autonomy and limiting management control systems. This suggests that custodial approaches to the supervision of professional work may be more resilient than has been assumed within previous analyses of NPM.     

Decision Making in Cross‐Functional Teams: The Role of Decision Power*

Through a series of game‐theoretical models, this study systematically examines decision making in cross‐functional teams. It provides a framework for the design of an organization‐specific decision‐making process and for the alignment of a team's microdecision with the “optimal” decision that maximizes the firm's payoff. This study finds that even without changing the team leader, firms could change and even dictate the team's microdecision outcome via adjusting the team member's seniority, empowering team members with veto power or involving a supervisor as a threat to overrule the team decision. This finding implies that to reposition products in the marketplace, structuring cross‐functional teams’ microdecision‐making processes is essential.     

Linking Process Quality and Resource Usage: An Empirical Analysis

Motivated by an increasing adoption of evidence‐based medical guidelines in the delivery of medical care, we examine whether increased adherence to such guidelines (typically referred to as higher process quality) is associated with reduced resource usage in the course of patient treatment. In this study, we develop a sample of US hospitals and use cardiac care as our context to empirically examine our questions. To measure a patient's resource usage, we use the total length of stay, which includes any additional inpatient stay necessitated by unplanned readmissions within thirty days after initial hospitalization. We find evidence that higher process quality, and more specifically its clinical (as opposed to its administrative) dimensions, are associated with a reduction in resource usage. Moreover, the standardization of care that is achieved via the implementation of medical guidelines, makes this effect more pronounced in less focused environments: higher process quality is more beneficial when the cardiac department's patient population is distributed across a wider range of medical conditions. We explore the implications of these findings for process‐oriented pay‐for‐performance programs, which tie the reimbursement of hospitals to their adherence to evidence‐based medical guidelines.     

The Impact of Costliness,Competitive Importance,and Modularity of Investments on Outsourcing

This study is motivated by examples of outsourcing that are not readily explained by widely established economic theories. We extend recent literature that develops the idea that outsourcing can help firms avoid overinvestment by specifying more precisely the conditions under which this thesis is likely to apply. Our extension is realized through a two‐period game theoretic model in which the outsourcing and in‐house investments are driven by (1) the cost required to develop a product or process module, (2) competitive relevance, defined as the module's share in the production cost or the module's importance to the customer, and (3) modularity, defined as the extent to which generic investments in the module can approach firm‐specific investments in terms of the overall product/process performance. The analysis generates predictions about what types of insourcing, outsourcing, and non‐sourcing behaviors are likely to emerge in different parts of the parameter space. Outsourcing to a more concentrated industry upstream emerges at equilibrium when modularity is high, relevance low to medium, and development cost high enough that none or only a subset of focal firms wants to invest. While firms are forced to insource and overinvest due to a prisoner's dilemma when the development cost is sufficiently high relative to the module's relevance, we do not find outsourcing equilibria that solve this problem in a two‐period game with no commitment. This result implies that some form of tacit coordination in a multi‐period game may be necessary. We conclude the study with a discussion of empirical implications.     

Valuation of childhood risk reduction: the importance of age, risk preferences, and perspective.

This article explores two problems analysts face in determining how to estimate values for children's health and safety risk reductions. The first addresses the question: Do willingness‐to‐pay estimates for health risk changes differ across children and adults and, if so, how? To answer this question, the article first examines the potential effects of age and risk preferences on willingness to pay. A summary of the literature reporting empirical evidence of differences between willingness to pay for adult health and safety risk reductions and willingness to pay for health and safety risk reductions in children is also provided. The second dimension of the problem is a more fundamental issue: Whose perspective is relevant when valuing children's health effects—society's, children's, adults‐as‐children, or parents'? Each perspective is considered, followed ultimately by the conclusion that adopting a parental perspective through an intrahousehold allocation model seems closest to meeting the needs of the estimation problem at hand. A policy example in which the choice of perspective affects the outcome of a regulatory benefit‐cost analysis rounds out the article and emphasizes the importance of perspective.     

Many Hands Lighter Work? Deciphering the Relationship between Adverse Working Conditions and Organization Citizenship Behaviours in Small and Medium‐sized Enterprises during a Severe Economic Crisis

What is the relationship between adverse working conditions and employees’ organizational citizenship behaviour (OCB) in small and medium‐sized enterprises (SMEs) operating under a severe economic crisis? To address this question, a survey of 312 front‐line workers was undertaken in 62 Greek SMEs ? an instrumental setting where the current deterioration of working conditions is acute. Our contribution is twofold. First, we develop and test a scale for measuring adverse working conditions. Second, we decipher the extent to which such conditions relate to organizational and individual aspects of OCB, considering job satisfaction's mediating role. Through this research we extend the OCB literature within the context of SMEs operating under severe economic crisis and highlight the implications for managing human resources in SMEs, a sector conspicuous for its socio‐economic significance and its vulnerability during economic downturns.     

Integrating Knowledge through Information Trading: Examining the Relationship between Boundary Spanning Communication and Individual Performance*

With the global penetration of Internet technologies, individuals may now cross organizational boundaries to communicate efficiently with others regardless of time and space. Thus, when looking for help in solving work tasks, knowledge workers may just as easily contact individuals in rival firms across the globe as a coworker sitting at the next desk. As a result, management faces questions such as (1) How should firms manage employees' knowledge‐sourcing activities when they span both intra‐organizational and extra‐organizational boundaries, and (2) What is the relationship between different knowledge‐sourcing activities and individual performance? Grounded in the knowledge‐based view of the firm, we investigate these questions using data from Europe's largest information technology (IT) services and management consulting company. Our results provide evidence that organizations should support boundary spanning and knowledge sourcing from both internal and external sources. Results suggest (1) a positive relationship between boundary spanning communication and creativity and general performance, and (2) a negative relationship between a reliance on colocated coworkers as knowledge sources and creativity.     

Examining the Antecedents and Consequences of CIO Strategic Decision‐Making Authority: An Empirical Study*

Despite the strategic importance of information technology (IT) to contemporary firms, chief information officers (CIO) often still have varying degrees of strategic decision‐making authority. In this study, we apply the theory of managerial discretion to define CIO strategic decision‐making authority and argue that the CIO's level of strategic decision‐making authority directly influences IT's contribution to organization performance. We also draw on the power and politics perspective in the strategic decision‐making literature to identify the direct antecedents to the CIO's strategic decision‐making authority. A theoretical model is presented and empirically tested using survey data collected from a cross‐industry sample of 174 matched pairs of CIOs and top business executives through structural equation modeling. The results suggest that organizational climate, organizational support for IT, the CIO's structural power, the CIO's level of strategic effectiveness, and a strong partnership between the CIO and top management team directly influence the CIO's level of strategic decision‐making authority within the organization. The results also suggest that the CIO's strategic decision‐making authority in the organization directly influences the contribution of IT to firm performance and that effective CIOs have a greater influence on IT's contribution when provided with strategic decision‐making authority.     

EFFICIENT TUITION FEES AND EXAMINATIONS

We assume that students observe only a private, noisy signal of their ability and that universities can condition admission decisions on the results of noisy tests. If the university observes a private signal of each student's ability, which is soft information, then asymmetries of information are two‐sided, and the optimal admission policy involves a mix of pricing and pre‐entry selection, based on the university's private information. In contrast, if all test results are public knowledge, then there is no sorting on the basis of test scores: Tuition alone does the job of implementing an optimal degree of student self‐selection. These results do not depend on the existence of peer effects. The optimal tuition follows a classic marginal social‐cost pricing rule. (JEL: D82, H42, I22, J24)     

Could diamonds become an investor’s best friend?

Currently, the role of diamonds in the global financial system is under intense discussion in the financial media because individual investors and portfolio managers have begun to consider them as potential investment assets. To address the growing interest in diamonds, this article examines the historical performance of investments in various diamond quality grades. Furthermore, it investigates their relation to stock market and currency risk. Specifically, we focus on two important practical investment questions: Can diamonds function as a hedge or a safe haven against stock market volatility or fluctuations of the US dollar? Can diamonds be regarded as effective diversifiers in a stock or a currency portfolio context? Key findings are as follows: (1) The investment performance of diamonds is lower than the one of gold and silver. (2) Diamonds have only acted as a weak hedge and a weak safe haven against stock market downturns and currency risk associated with the US dollar. (3) Within global stock and currency portfolios, 1.0 carat fine diamonds show valuable diversification potential in that they can increase portfolio performance to an economically significant extent. Interestingly, this final result is fairly robust to the choice of performance measure.     

Development of an Interspecies Nested Dose‐Response Model for Mycobacterium avium subspecies paratuberculosis

Mycobacterium avium subspecies paratuberculosis (MAP) causes chronic inflammation of the intestines in humans, ruminants, and other species. It is the causative agent of Johne's disease in cattle, and has been implicated as the causative agent of Crohn's disease in humans. To date, no quantitative microbial risk assessment (QMRA) for MAP utilizing a dose‐response function exists. The objective of this study is to develop a nested dose‐response model for infection from oral exposure to MAP utilizing data from the peer‐reviewed literature. Four studies amenable to dose‐response modeling were identified in the literature search and optimized to the one‐parameter exponential or two‐parameter beta‐Poisson dose‐response models. A nesting analysis was performed on all permutations of the candidate data sets to determine the acceptability of pooling data sets across host species. Three of four data sets exhibited goodness of fit to at least one model. All three data sets exhibited good fit to the beta‐Poisson model, and one data set exhibited goodness of fit, and best fit, to the exponential model. Two data sets were successfully nested using the beta‐Poisson model with parameters α = 0.0978 and N₅₀ = 2.70 × 10² CFU. These data sets were derived from sheep and red deer host species, indicating successful interspecies nesting, and demonstrate the highly infective nature of MAP. The nested dose‐response model described should be used for future QMRA research regarding oral exposure to MAP.