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To provide consumers with a channel to interact directly with service retailers, some service platforms have allowed consumers to incentivize service retailers for better service via tipping. There are pros and cons of allowing and not allowing tipping in terms of service levels and costs, which can affect consumer utility and platform profitability. By developing a game-theoretic model, we analyze the tipping strategy choices of platforms under competition. We find that when the service ability of service retailers is high, platforms with service retailer pricing should allow tipping, whereas for at least one platform with platform pricing, they should allow it only when the commission rate is also high. Interestingly, if consumers are concerned about service levels in addition to service prices during tipping, for platforms with platform pricing, only one platform should allow tipping when the service ability is medium. However, when the service ability is low or when the sensitiveness of the service level to tips exceeds the threshold, neither platform should allow tipping, regardless of pricing models. Finally, an all-win outcome for service platforms, service retailers, and consumers may be achieved only when platforms adopt different pricing models. [ABSTRACT FROM AUTHOR]

With the rise of social media and the peer-to-peer economy, sellers can easily tell potential buyers about themselves and their process of producing products and services. This research investigates the influence of a central aspect of the production process that sellers can communicate—their production enjoyment. Buyers are willing to pay a higher price, are more likely to click on ads, and are more likely to choose a product or service when the seller signals that they enjoy producing it. In contrast, sellers are willing to accept lower prices, and actually charge less, for products and services they enjoy producing. Both buyers and sellers make the inference that production enjoyment leads to higher quality products/services, but only buyers rely on this inference when forming their pricing judgments relative to sellers. Nine studies illustrate these effects across a wide variety of products and services, participant samples, and operationalizations of production enjoyment. They show that signals of production enjoyment can influence buyers more than other established signals (e.g., effort) and demonstrate contexts where these effects are more and less likely to occur. These findings offer practical recommendations for both buyers and sellers as well as a variety of theoretical contributions. [ABSTRACT FROM AUTHOR]

This paper examines supplier encroachment in a scenario where the supplier procures an input in spot and processes it into a final product, while the retailer chooses between contingent and committed pricing schemes for the contract price. We find that when the correlation between the input spot price and final product demand is relatively small, it is optimal for the retailer to adopt the contingent pricing scheme regardless of the supplier's encroachment decision. This is because this scheme enables the supplier to share the input price risk, resulting in a lower contract price. Furthermore, the likelihood of the retailer adopting the contingent pricing scheme increases as demand variability decreases or spot price volatility increases. However, supplier encroachment reduces the retailer's inclination to use the contingent pricing scheme. We further demonstrate that the supplier should encroach when the correlation is sufficiently small, because encroachment alleviates double marginalisation in the retail channel and brings the additional responsiveness in the direct channel. By contrast, a large correlation compels the supplier to encroach even with a sufficiently small market size. In this case, encroachment improves the responsiveness of both retail and direct selling quantities and enables the quantities to match the demand better. [ABSTRACT FROM AUTHOR]

In service systems with delay-sensitive customers, customer decisions to join the queue or balk influence demand, impacting service provider profits. Studies show that customers can be risk-seeking for short waits and risk-averse when waits exceed expectations. Prior research on this mixed-risk attitude is limited, focussing on optimal pricing policies from a social welfare perspective. This study fills this gap by investigating the impact of this behaviour on customer joining strategies and the provider's pricing and capacity policies. We analyse a profit-maximising firm managing an unobservable queue where customers display mixed-risk behaviour towards delay parameterised by a risk-switching point and a degree of risk propensity. Customers join or balk based on expected utility, while the firm determines the service price and rate to maximise expected profit. We derive optimal strategies for both customers and the firm under scenarios with concave or convex capacity costs. Computational experiments show that optimal pricing, capacity, and profit peak at intermediate risk-switching points. For smaller points, optimal price and capacity rise with the customers' degree of risk propensity, while larger points have minimal impact. Numerical exploration emphasises the significance of capacity cost and the effectiveness of leveraging price over controlling capacity for maximising firm profitability. [ABSTRACT FROM AUTHOR]

Renowned brands and recycling agencies tacitly integrate their business flows together in the current trade-in industry. The collaborative trade-in programme breaks the hierarchy of closed-loop supply chains and provides seamless services for consumers. In this study, we develop a stylised model to capture the change in supply chain structure and scrutinise trade-in collaboration and recycling competition between sellers and recyclers. We find that, under intensive recycling competition, price targeting new consumers is downward distorted by the seller to occupy more trade-in demands in the old consumer segment. Meanwhile, the rebate of the recycler is suppressed by the collaboration constraint. By distorting the price, the seller obtains the predominance in recycling competition while sacrificing part of profits from new consumers. The price distortion indicates the competition spill-over from the old consumer segment to the new consumer segment. Furthermore, the establishment of autonomous recycling reaches a Pareto improvement for the whole system when the competition is mild; otherwise, these two entities fall into a zero-sum scenario. Our study offers insights into recycling value allocation and trade-in partner choice and, theoretically, contributes to the economic literature that price distortion can even be forced by competition with the absence of information asymmetry. [ABSTRACT FROM AUTHOR]

We study the quantitative impact of lender control rights on corporate investment, asset prices, and the aggregate economy. We build a general equilibrium model in which the breaching of a loan covenant (technical default) entails a switch in investment control rights from borrowers to lenders. Lenders optimally choose low-risk projects, thus mitigating borrowers' risk-taking incentives and lowering the cost of equity. This mechanism generates strong macroeconomic effects and mitigates the financial accelerator. Consistent with our model, proximity to technical default in the data is associated with 4.12% lower returns and lower exposure to systematic risk. [ABSTRACT FROM AUTHOR]

This study presents the first field investigation of the sales impact of cause-related marketing promotions (CMPs) in retail settings. Whereas prior work primarily studies CMPs in simplified experimental settings, actual fast-moving consumer goods markets are considerably more complex; ergo, consumers are unlikely to consider and evaluate all brands and CMPs in detail. In this analysis based on 63 CMPs across 20 categories, the authors therefore investigate the short-term sales impact of CMPs as a function of the brand and category context in which they are executed. On average, CMPs run 11 weeks and donate 3.2% of product price, resulting in an average sales lift of 4.9% per week. The findings suggest that a necessary precondition for CMP success is that consumers notice it at the point of sale and hence have considered the CMP brand for reasons other than the CMP itself. Accordingly, the sales impact of CMP can more than double when the category assortment is smaller, the category has less price dispersion, the brand is a category leader, or the brand is priced below the category average. Brands operating in less favorable market conditions can still achieve above-average CMP impact by combining CMPs with price promotions to ensure consumer consideration. [ABSTRACT FROM AUTHOR]

While much is known about product bundles comprised of different items, much less is known about multipacks—a product set comprised of multiple identical items (e.g. a 4-pack body washes). Using the context of multipacks, the authors propose a novel price divisibility effect, which suggests that a multipack's price that is easily divisible (vs. non-divisible) by the number of component items in the multipack will increase its purchase likelihood. For example, purchase likelihoods of a four-pack body wash multipack will be higher when its price is $16 (easily divisible by 4) versus $15.30 (non-divisible by 4). This occurs because a divisible versus non-divisible price shifts consumers' attention to the unit and creates a belief that each unit item in the multipack will be consumed quickly, which, in turn, helps justify purchasing multiple units. The authors report findings from 15 studies (including a field experiment), where they demonstrate the effect and its underlying mechanism and delineate several moderators and boundary conditions. This research contributes to several literature streams, including those on product bundling, multiple-unit pricing, product consumption, and numerical cognition. [ABSTRACT FROM AUTHOR]

The surge in e-commerce has significantly altered consumer shopping habits, shifting towards online purchases. This change renders the traditional single-channel supply chain insufficient, often resulting in lost profits. Consequently, many businesses now incorporate an online channel alongside their physical stores. This shift has led to the adoption of dual-channel supply chains by manufacturers, aiming to attract a broader customer base and expand market share. Leasing options are becoming increasingly popular, offering a novel method for consumers to acquire products. However, studies on dual-channel supply chains that include leasing options are scarce and typically focus on single-period pricing. This paper explores a realistic, centralised dual-channel supply chain model that encompasses manufacturing, remanufacturing, refurbishing, distribution, and storage, along with selling, leasing, and repair services. A mathematical model is developed for a multi-period environment. This model simultaneously optimises manufacturing, remanufacturing, distribution strategies, storage costs, service offerings, and pricing for both sold and leased products, considering repair services for defective items. The paper presents numerous numerical analyses to demonstrate how integrating leasing services impacts the supply chain's profitability, the effect of customer preferences on pricing strategies, and how the cost of collecting used products influences remanufacturing decisions over a set time frame. [ABSTRACT FROM AUTHOR]

After the expiration of each lease, lessees may return leased equipment on schedule, renew the lease or purchase it according to the equipment status and their demands. By considering lessees' uncertain options and equipment status difference, the pricing and inventory decision-makings of leased equipment are explored. A mixed-integer nonlinear programming model by maximising the net present value of lessor's profit is presented with respect to constraints like rental revenue, manufacturing, lessees' credit check, transportation, maintenance, upgrade and inventory costs. The rental price and inventory decisions are obtained by solving the problem with a particle swarm optimisation algorithm. We also analyse the impacts of purchasing cost of old equipment from a third-party supplier on lessor's inventory, renewal price or purchasing price of leased equipment on lessees' options and lessor's profit. The results show: (1) with the extension of lease period, the rental price increases while the growth rate decreases; (2) the maintenance cost accounts for about 20% of total cost, and the preventive maintenance strategy can reduce excess maintenance cost as lease period increases; (3) the lessor shall set moderate renewal price discount coefficient and purchasing price coefficient, and analyse purchasing cost of old equipment to manage inventory timely. [ABSTRACT FROM AUTHOR]

This study addresses a practical problem within a multi-level supply chain where a wide range of customers can be served through different strategies such as make-to-stock, make-to-order, or vendor-managed inventory. The customer demand is stochastic, and sensitive to pricing associated with different production-inventory strategies. We propose a two-stage stochastic mixed-integer non-linear programming model. In the first stage, decisions are made regarding the selection of production-inventory strategies and pricing to maximise the expected profit. The second stage involves decisions related to production, inventory, and distribution, which are used to evaluate the first-stage decisions under various scenarios with different levels of accuracy. To solve the model, a metaheuristic approach based on the Simulated Annealing algorithm is developed. To showcase the practical applicability of our model and solution approach, we use a real case study in a Canadian pulp and paper supply chain. The results revealed that both the production-inventory strategy assigned to customers and the sales price underwent changes across scenarios. Furthermore, we demonstrated that by implementing the SA algorithm, we could improve the initial profit by up to 1.43% through slight adjustments in the sales price and assigned strategies for customers. [ABSTRACT FROM AUTHOR]

We estimate short-term dividend strip prices from 27 years of S&P 500 index options data (1996-2022). We use option-implied interest rates when estimating strip prices and longer holding period returns to mitigate measurement error. We find that Sharpe ratios for short-term strips are similar to or higher than Sharpe ratios for the market. Short-term strips also have a low market beta and a positive alpha. Over the business cycle, realized term premiums (ie, the difference between market and strip returns) and the term structure of Sharpe ratios move countercyclically, whereas the term structure of alphas moves procyclically. [ABSTRACT FROM AUTHOR]

Innovation in the mining sector is crucial for industrial, economic, and sustainable development, particularly for developing economies. It is important to understand the factors that stimulate innovation in this sector to upgrade productivity and growth. In the mining sector, innovation is driven by profit structure, which in turn depends strongly on commodity prices. We hypothesize two innovation responses to prices, which we test against existing evidence found in recent literature and available industry data. We find two different innovation responses to prices: exploration and in-house research and development (R&D) investments by mining companies increase as commodity prices rise, while the use of suppliers' innovation intensifies when prices decrease. Policies to strengthen the sector should provide long-term support for the Mining Equipment, Technology and Services (METS) sector so that they can continuously invest in R&D to provide innovative solutions for mining firms, possibly extending to lateral linkages, applying digital and low-carbon solutions developed for the mining sector and beyond. [ABSTRACT FROM AUTHOR]

Demand for blockchains such as Bitcoin and Ethereum is far larger than supply, necessitating a mechanism that selects a subset of transactions to include "on-chain" from the pool of all pending transactions. This article investigates the problem of designing a blockchain transaction fee mechanism through the lens of mechanism design. We introduce two new forms of incentive compatibility that capture some of the idiosyncrasies of the blockchain setting, one (MMIC) that protects against deviations by profit-maximizing miners and one (OCA-proofness) that protects against off-chain collusion between miners and users. This study is immediately applicable to a major change to Ethereum's transaction fee mechanism, made on August 5, 2021, based on a proposal called "EIP-1559." Originally, Ethereum's transaction fee mechanism was a first-price (pay-as-bid) auction. EIP-1559 suggested making several tightly coupled changes, including the introduction of variable-size blocks, a history-dependent reserve price, and the burning of a significant portion of the transaction fees. We prove that this new mechanism earns an impressive report card: it satisfies the MMIC and OCA-proofness conditions, and is also dominant-strategy incentive compatible (DSIC) except when there is a sudden demand spike. We also introduce an alternative design, the "tipless mechanism," which offers an incomparable slate of incentive-compatibility guarantees—it is MMIC and DSIC, and OCA-proof unless in the midst of a demand spike. [ABSTRACT FROM AUTHOR]

Despite the growing evidence that many firms operate several multisided platforms (MSPs) simultaneously, we lack a comprehensive understanding of the managerial and public policy challenges involved. We examine the determinants and consequences of centralization decisions for firms managing MSP portfolios. A starting point is that on top of the indirect network effects and matching needs between user groups of the same MSP, in an MSP portfolio there are indirect network effects and matching needs across sides of the different MSPs managed by the firm. These additional interdependencies can amplify the effects of cross-selling and data-sharing in such portfolios. Our analysis suggests the higher relevance of a centralized design of an MSP portfolio due to the coordination benefits when indirect network effects and matching needs intensify the payoffs from cross-selling and data-sharing in MSP portfolios. We also explain how a more centralized design of such portfolios enables a broad set of pricing strategies, barriers to imitation, and acquisitions, and discuss managerial and public policy implications. [ABSTRACT FROM AUTHOR]

Behaviour-based pricing (BBP) is commonly observed in the information goods industry. Information goods providers typically sell multi-version products and have implemented different BBP strategies for their products. However, previous research on BBP is mostly limited to single-version products, which may not effectively guide practical decision-making regarding multi-version products. This gap sparks interest in how BBP can be applied to multi-version information goods. We show that the equilibrium pricing strategy depends on the quality gap between the products and how much consumers and the firm value future benefits. The firm should implement BBP for both high- and low-quality products if it values future benefits more than consumers do. If consumers value future benefits more than the firm, the firm should not implement BBP for either product. Moreover, when the firm and consumers value future benefits equally, the firm should only practice BBP for the low-quality product. Our calculations of consumer surplus and social welfare reveal that the absence of BBP doesn't always lead to the maximum benefits for consumers and society. Interestingly, if the firm values future benefits more than its consumers do, applying BBP only to high-quality products or both products may lead to higher consumer surplus and social welfare. [ABSTRACT FROM AUTHOR]

Cloud Manufacturing (CMfg) is a promising approach that leverages the sharing economy to reduce costs and enhance supply chain flexibility. Particularly, when utilised alongside Additive Manufacturing (AM), CMfg is considered a key enabler for collaborative production (CP) systems. However, there is still a lack of planning models that reduce entry barriers for CP. Therefore, we propose a decentralised CP planning framework for AM. In our approach, machines autonomously select jobs from an existing production plan to forward them to other suppliers that can produce these parts more efficiently. A CMfg platform facilitates job forwarding and creates promising part bundles and manufacturing machines autonomously places bids on the packages via a combinatorial $ 2^{nd} $ 2 nd price reverse auction. Costs of the reallocated bundles are shared throughout a Shapley value-based approach without the need to disclose critical information. We benchmark our proposed framework against a centralised planning approach and find that it achieves comparable effectiveness as the benchmark solution. We also show that this mechanism promotes individual rationality and that agents particularly benefit when participating in both offering and acquiring production jobs through the auction. [ABSTRACT FROM AUTHOR]

With the growing number of shoppers entering e-marketplaces, e-retailers commonly use tailoring technology to cater to diverse shopper needs and gain a competitive advantage. However, the impact of shopper heterogeneity in this tailoring competition remains unclear. Focusing on e-retailers' tailoring practice, we fill the gap by revealing its impact on e-marketplace channel competition and sellers' coordination decisions. We find that shopper expertise with competing e-retailers and pricing contracts with product sellers significantly alter the downstream landscape, and all stakeholders should rethink e-retailers' tailoring strategies. We discover that e-retailers may aim to sell to experienced consumers under a sell-to contract, while sellers target inexperienced consumers. Conversely, under a sell-on contract, the seller's target aligns with the e-retailer of higher tailoring capabilities. Surprisingly, inexperienced consumers influence all market participants more than experienced consumers. Notably, the preferred target consumers of all parties may shift when tailoring is effective only for experienced consumers. [ABSTRACT FROM AUTHOR]

Many business transactions and employment contracts are wrongfully exploitative despite being consensual and beneficial to both parties, compared with a nontransaction baseline. This form of exploitation can present governments with a dilemma. Legally permitting exploitation may send the message that the public condones it. In some economic conditions, coercively enforced antiexploitation law may harm the people it is intended to help. Under these conditions, a way out of the dilemma is to enact laws with provisions that lack coercive enforcement. Noncoercive law would convey the state's condemnation of wrongful exploitation without risking the harmful effects of coercively enforced law. It would also give firms and their agents a way of explaining nonexploitative pricing decisions to investors, and it may help give precise content to the moral duty to set prices and wages fairly. Governments should thus consider noncoercive law a viable component of their responses to exploitation. [ABSTRACT FROM AUTHOR]

In 1997, Statement of Financial Reporting Standards (SFAS) 131 introduced a substantial change in how segment information is reported in US-GAAP (Generally Accepted Accounting Principles) financial statements. We seek to examine whether this change in financial reporting policy increases investors' ability to process information relevant to conglomerate firms (i.e., those operating in multiple industries) more quickly, and whether this increased efficiency in information processing varies cross-sectionally based on firm complexity and the direction of industry news. Our results indicate that SFAS 131 has increased the speed with which stock prices capture information about conglomerates, relative to focused firms, although we find that some frictions remain with regard to disclosing bad news. This study documents an example of how a change in disclosure policy can enhance pricing efficiency, and hence, it may be of interest to the Financial Accounting Standards Board (FASB) in its ongoing initiative to consider potential changes to SFAS 131. [ABSTRACT FROM AUTHOR]

This article examines the severity of the 2008 arbitrage crash in the convertible bond market by estimating how expensive it would have been to liquidate portfolio securities immediately. We consider whether funds actually demanded immediate liquidity or were able to delay trades. Our results indicate that the cost of immediacy was high, but that convertible bond sellers could largely avoid selling at fire sale prices. These results can be explained by dealers recognizing when trades are liquidity-motivated rather than information-based and by a shift to riskless principal trading, allowing dealers to avoid taking bonds into inventory. [ABSTRACT FROM AUTHOR]

The introduction of the Beijing–Shanghai high-speed rail (Launch) and the Wenzhou bullet-train collision (Crash) in China provided a unique occasion to study the effect of competition on price dispersion. Results show that price dispersion increased by about 48% after the Launch, as airlines offered greater discounts to price-elastic consumers than to price-inelastic consumers. By contrast, price dispersion decreased by about 55% after the Crash, as airlines raised prices more for price-elastic consumers than for price-inelastic consumers. [ABSTRACT FROM AUTHOR]

Prior research shows that using mimetic isomorphism to select price/quality product strategies results in superior performance in the United States, the European Union, and Japan for both developed economy and emerging market manufacturers. However, do these results generalize in the case of emerging market service providers? Due to the nature of services, customers cannot gauge service quality prior to consumption, and they must rely on other cues; commonly, consumers rely on the brand name as a proxy. We theorize that for emerging market service providers, choosing a strategy of "distinctiveness" (pursuing a nondominant price/quality strategy) offers a way to differentiate their offering from the mimetic choice, resulting in superior performance. Implications for theory and practice are discussed. [ABSTRACT FROM AUTHOR]

Copyright of Contemporary Accounting Research is the property of Canadian Academic Accounting Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Using an international sample of IPO firms and two country-level measures of financial literacy, we find strong evidence that financial literacy is negatively associated with IPO underpricing. In cross-sectional analyses, we find that the effect of financial literacy in reducing IPO underpricing is more pronounced when the information environment is less transparent. Employing path analysis, we document that information friction, firm transparency, and stock market participation are mechanisms that mediate this relationship. Our study contributes to and extends the literature by providing strong evidence that citizens' financial literacy has an important and consistent influence on IPO underpricing. [ABSTRACT FROM AUTHOR]

We analyze a model in which an anomaly is unknown to arbitrageurs until its discovery, and test the model implications on both asset prices and arbitrageurs' trading activities. Using data on 99 anomalies documented in the existing literature, we find that the discovery of an anomaly reduces the correlation between the returns of its decile-1 and decile-10 portfolios. This discovery effect is stronger if the aggregate wealth of hedge funds is more volatile. Finally, hedge funds increase (reverse) their positions in exploiting anomalies when their aggregate wealth increases (decreases), further suggesting that these discovery effects operate through arbitrage trading. [ABSTRACT FROM AUTHOR]

Combining experimental data sets from seven individual studies, including 255 asset markets with 2,031 participants, and 36,326 short-term price forecasts, we analyze the role of heterogeneity of beliefs in the organization of trading behavior by reproducing and reconsidering earlier experimental findings. Our results confirm prior evidence that price expectations affect trading behavior. However, heterogeneity in beliefs does not seem to drive overpricing and asset market bubbles, as suggested by earlier studies, and we find no indication of short-term beliefs being better determinants of trading behavior than longer-term beliefs. [ABSTRACT FROM AUTHOR]

In the overlapping global emergencies of the pandemic, climate change and geopolitical confrontations, supply shocks have become frequent and inflation has returned. This raises the question of how sector-specific shocks are related to overall price stability. This paper simulates price shocks in an input–output model to identify sectors which present systemic vulnerabilities for monetary stability in the United States. We call these prices systemically significant. We find that in our simulations the pre-pandemic average price volatilities and the price shocks in the COVID-19 and Ukraine war inflation yield an almost identical set of systemically significant prices. The sectors with systemically significant prices fall into four groups: energy, basic production inputs other than energy, basic necessities, and commercial infrastructure. Specifically, they are "Petroleum and coal products," "Oil and gas extraction," "Utilities," "Chemical products," "Farms," "Food and beverage and tobacco products," "Housing," and "Wholesale trade." We argue that in times of overlapping emergencies, economic stabilization needs to go beyond monetary policy and requires institutions and policies that can target these systemically significant sectors. [ABSTRACT FROM AUTHOR]

The post-pandemic surge in inflation was accompanied by a surge in the corporate share of profits. As a result, several economists and policy makers have given to it names such as "profit-led inflation" or "sellers' inflation." The present paper discusses the extent to which profit-led inflation, as an explanation for the recent surge in inflation, is compatible with what we know about the price-setting behavior of firms, income distribution, and inflation. We do that in juxtaposition to two recent critiques: that the increase in the profit share is the result of cyclical factors and that the increase in import prices leads to higher profit shares even under constant markups. We show that there is little evidence that the recent surge in profitability is cyclical in nature. Moreover, after outlining the Structuralist/Kaleckian theories of prices and inflation, we argue that profit-led inflation does not require an increase in the markup of the firms and is consistent with these theories. In the face of large import and other price shocks even under constant markups, firms are able to pass the burden of adjustment to real wages. Thus, the term profit-led emphasizes the distributional source and consequences of inflation. We also provide an empirical examination of the markups in the post-pandemic period using data from the Compustat database. We show that, on average, firms were able to increase or maintain their markups, although there is significant heterogeneity across sectors or the position of the firms in the distribution of markups. [ABSTRACT FROM AUTHOR]

The purpose of the article is to analyze the relevance of earnings fundamentals in predicting extreme price reversals of an emerging stock market. We collect monthly price data on six sector indices from Bombay Stock Exchange (BSE) of India for the period 2004–2019. The research decomposes industry stock returns into Potential Maximum Gains (PMG) and Potential Maximum Losses (PML) with price extremes at first and then tests price reversal behavior using Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) and vector autoregressive (VAR) models. The study finds symmetry between PMG and PML in the banking, realty, and oil sectors, while the asymmetric reversal behavior is noted in the automobiles and capital goods industries. The presence of industry fundamentals in the models estimating the reversal behavior of share prices enhances their predictive power, which suggests the significance of value strategies in making gains from extreme price variations. The price reversal behavior is sector specific and found inconsistent in emerging market. Hence, the investors cannot overlook the relevance of the industry characteristics and earnings fundamentals while predicting the stock price behavior in emerging markets. [ABSTRACT FROM AUTHOR]

This paper studies the multiple period inventory replenishment problem for a capacitated warehouse when procurement prices and market demands are both uncertain, with the goal to minimise the procuring and holding costs. We analyse this problem under the framework of competitive analysis, where neither probabilistic distributions nor sets are available to characterise the unknown price and demand parameters. An efficient online real-time replenishment algorithm is developed, which is free of any distribution assumption, and the decisions are made based entirely on past and present information. We derive an instance-independent competitive ratio of the algorithm, which provides a worst-case theoretical performance guarantee, and shows that the proposed algorithm performs well for situations with high volatility uncertainty over time and is naturally risk-averse. Finally, a set of numerical experiments further verifies the effectiveness of the algorithm. [ABSTRACT FROM AUTHOR]

Political frictions significantly affect both pricing and supply in the long-term care insurance (LTCI) market. Comparing the same insurer's requests submitted for the same policy at the same time to different state regulators, we find that they are 13% more likely to be approved and receive 4% more of the requested amount after an election year. Over time, regulatory pushback on premium increase requests leads to persistently lower cash reserves and increases the probability of company dropout. An insurer who receives one-standard-deviation less of their requested increase is 20% more likely to leave the market next year. [ABSTRACT FROM AUTHOR]

Business models play a key role in companies' profit growth and competitiveness. A growing number of companies not only sell products but also provide leasing services. In traditional leasing models, companies usually charge customers for the time they occupy the product, but ignore differences in how long and how often customers actually use the product. In practice, customers have different product usage patterns, which will affect their purchase choice. Considering the pooling effect in the leasing service network, this paper describes customers' usage patterns in two dimensions (product occupancy time and utilisation rate) and determines the optimal pricing under three models (selling, leasing, and their hybrid model) to maximise corporate profits. Through comparative analysis, the optimal business model selection decision is obtained, and its market performance is also analysed. The results show that when the leasing service operational capability is strong, the pure leasing service model is superior; otherwise, the result also depends on the product value creation capability. When this capability is high, the hybrid model will be selected; otherwise, the pure selling model will be better. This result differs from the generally held result in previous studies that the hybrid model is more profitable in most cases. [ABSTRACT FROM AUTHOR]

In contemporary manufacturing and supply chain environments, there are various challenges that companies have to face. Many companies are facing challenges to respond quickly to customers' requirements and to provide customised products cost effectively. Mass customisation (MC) can help companies to provide customised products and services quickly at a low price. Integrated decision-making can obtain performance improvement in many situations. This paper investigates the problem of scheduling integration of flexible manufacturing systems (FMSs) for mass customisation. A mathematical model is formulated for the problem. A set-based dynamic algorithm is developed. Numerical studies are made on the proposed algorithm by simulation and by statistical analysis. Conclusions, managerial implications, and future research suggestions are provided. [ABSTRACT FROM AUTHOR]

Copyright of Contemporary Accounting Research is the property of Canadian Academic Accounting Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Modern asset pricing models combine recursive preferences with complex dynamics for the underlying consumption process. The existence of solutions is for many of these models an unsettled question. This paper introduces a novel technique to prove existence and nonexistence, as well as uniqueness for models with recursive preferences. The approach applies to many models of interest, including those with long-run consumption risks, with stochastic volatility and jumps, with time-varying consumption disasters, and with smooth ambiguity aversion and learning. Collectively, the proven results settle the existence question for many of today's leading asset pricing models. [ABSTRACT FROM AUTHOR]

This article provides a survey of China's initial public offering (IPO) market, focusing on IPO pricing, bids and allocation, and aftermarket trading. We show that strict regulations result in suppressed IPO offer prices and high initial returns, causing a high cost of going public. Investors treat IPOs as lotteries with extremely high short-term returns, with little attention to the long term. The auction selling method, however, works in the way it is supposed to. Mutual funds bid in a more informative way than other investors, and their advantages are unlikely to be due to underwriters' preferential treatment. We also discuss the latest registration-system reform. [ABSTRACT FROM AUTHOR]

Emojis are being increasingly used in different types of communications, including in advertising campaigns. One emoji, the smiley face, has been an important part of consumers' informal communications. Interestingly, smiley faces now also appear in marketing communications, advertisements, and brand logos. The present research examines the role of smiley faces in restaurant logos as a form of marketing communication. A set of five studies—conducted in a lab and at a middle school—demonstrates that communication associated with restaurant logos including smileys is perceived as lower in healthfulness, which in turn leads to lower price expectations. These effects are caused by a visual association with a fast-food restaurant category, whereby consumers link the presence of smiley faces with fast-food restaurants. The authors conclude that including a smiley face logo in a restaurant's marketing communication can have unintended consequences on consumers' perceptions. [ABSTRACT FROM AUTHOR]

Forecasts of demands or prices become increasingly unreliable as the future becomes more distant. It is, therefore, beneficial to show that optimal decisions during an initial time interval are either partially or wholly independent of the forecasted data from some future time onwards. Using a commodity trading model as an example, we obtain conditions that allow us to make optimal buying and selling decisions for a commodity in some initial time interval without knowing its price forecast beyond some future time. Such an initial time interval is called a decision horizon and the time up to which the forecasted data is required to make the optimal decisions during the decision horizon is called a forecast horizon. We use the maximum principle to solve the example and show that the decision and forecast horizons in the problem arise from lower and upper bounds imposed on the on-hand inventory of the commodity. [ABSTRACT FROM AUTHOR]

Manufacturers experience random environmental fluctuations that influence their supply and demand processes directly. To cope with these environmental fluctuations, they typically utilise operational hedging strategies in terms of pricing, manufacturing, and procurement decisions. We focus on this challenging problem by proposing an analytical model. Specifically, we study an integrated problem of procurement, manufacturing, and pricing strategies for a continuous-review make-to-stock system operating in a randomly fluctuating environment with exponentially distributed processing times. The environmental changes are driven by a continuous-time discrete state-space Markov chain, and they directly affect the system's procurement price, raw material flow rate, and price-sensitive demand rate. We formulate the system as an infinite-horizon Markov decision process with a long-run average profit criterion and show that the optimal procurement and manufacturing strategies are of state-dependent threshold policies. Besides that, we provide several analytical results on the optimal pricing strategies. We introduce a linear programming formulation to numerically obtain the system's optimal decisions. We, particularly, investigate how production rate, holding cost, procurement price and demand variabilities, customers' price sensitivity, and interaction between supply and demand processes affect the system's performance measures through an extensive numerical study. Furthermore, our numerical results demonstrate the potential benefits of using dynamic pricing compared to that of static pricing. In particular, the profit enhancement being achieved with dynamic pricing can reach up to 15%, depending on the problem parameters. [ABSTRACT FROM AUTHOR]

This study revisits the question of predicting patent value with observed patent statistics, exploiting a rare public auction of patents in China in which the starting prices are used as approximates of patent private value. Family size and the number of assignees come out as the most consistent indicators, while notably, forward citations turn out to be not important. This discrepancy with past studies is investigated. We propose some of the institutional features in the Chinese patent system could lead to the forward citations not as informative as their counterpart in other jurisdictions. The findings bear important implications as Chinese patent data are increasingly being used in innovation studies. [ABSTRACT FROM AUTHOR]

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Consumers have an aversion to purchasing near-expiry food products, which leads to enormous food waste and economic loss. Given the importance of this issue, past research has studied the effect of impending expiration date on product sales, but its focus has been limited to perishable food products. Since the expiration dates of non-perishable food products are treated as less important than those of perishable food products, we expect that the resulting effect on sales largely varies by shopping environment. With the growing importance of online shopping in food sales, we examine how the effect of impending expiration date differs between mobile and PC shopping environments. By analyzing a unique data set from an online salvage store, we find that consumer aversion toward near-expiry products is more salient in the PC shopping environment than in the mobile shopping environment. However, when there is a deeper price promotion, the between-channel difference is reduced as the sensitivity of an impending expiration date on sales increases in the mobile shopping environment. These findings not only represent novel contributions to the literature but also provide managerial implications for practitioners. [ABSTRACT FROM AUTHOR]

The extent to which alternative measurement units affect consumer behaviour is the subject of a handful of studies, which, however, measure this effect at an aggregate level. This presents a gap in that it is of great importance for marketing practice to understand whether the observed effect applies to all consumers to a similar extent. Investigating the product category bottled beer and applying an importance-focused post hoc segmentation, it is discovered that no measurement-unit effect occurs for brand-oriented customers. The unit of measurement in which a unit price is indicated substantially influences the preference structure for only one in five respondents. Both strategic and operational decisions with regard to unit prices should therefore not be based on an averaged market view, but on a segment-specific perspective. [ABSTRACT FROM AUTHOR]

Motivated by the industrial observation of the increasing application of blockchain in the supply chain and its improvement in terms of consumer demand, this study examines the impact of investment decisions of blockchain data acquisition nodes upstream and downstream of the supply chain on firms' product recycling and pricing, market demand, and profits. The influences of different pricing leadership (i.e. supplier-led vs. retailer-led) in a supply chain are also thoroughly investigated. First, the presence of a strong retailer dramatically reduces suppliers' incentive to invest in blockchain. However, the supplier is still likely to invest more in a retailer-led supply chain than that in a supply chain led by itself under certain conditions; that is, the cost of blockchain is relatively small, or consumers' sensitivity to blockchain or product recycling benefits is rather large. Second, the total number of blockchain data acquisition nodes, market demand, and supply chain profit in a retailer-led supply chain are higher than in a supplier-led supply chain. Finally, interestingly, the supplier will be better off in a retailer-led supply chain when the return effect of product recycling is relatively high, while the cost-effectiveness of blockchain investment is relatively low. [ABSTRACT FROM AUTHOR]

Experience-in-store-and-buy-online (ESBO) is a popular omni-channel strategy. This paper studies the effects of inspection service provision on the interactions of a dynamic-pricing retailer and strategic consumers, i.e., the effects of the ESBO initiative on store operations. Selling a seasonal product over two periods, the omni-channel retailer may allow consumers to inspect this product offline only in the first period (first-period inspection) or in both periods (two-period inspection). First, we find that allowing first-period inspection makes the retailer better off. The retailer will price the product higher in the first period but probably lower in the second period. Even so, more consumers will purchase in the first period: that is, allowing first-period inspection can somewhat deter strategic deferral. Meanwhile, the seemingly negative intertemporal showrooming behavior (i.e., inspect the product offline in the first period but defer online purchase to the second period) benefits the retailer. Compared to first-period inspection, allowing two-period inspection increases the retailer's prices in both periods as well as profit, provided that inspection is definitely available in the second period. On the other hand, when inspection is possible in the second period, it may be profitable to allow inspection only in the first period.. [ABSTRACT FROM AUTHOR]

Based on the carbon emission policy and low-carbon capacity sharing, this paper studies the optimal product pricing and capacity matching strategies of competition and cooperation between two companies in a duopoly market. And the optimal strategies with or without capacity sharing are discussed. In addition, a differential game model based on carbon emission constraints, low-carbon capacity sharing, and delayed decision-making is established. We also study the evolution of duopoly enterprises from the initial state to the equilibrium state. Besides, the influence of delayed decision variables, price adjustment speed and decision weights on the stability of the game system is analyzed. The results show that the government can effectively intervene and guide the enterprises' low-carbon production strategy through carbon emission restriction policy. Low-carbon capacity sharing is beneficial to both enterprises, and the demand side benefits more than the supply side. We discuss the impact of stable and unstable systems on enterprises' decisions. When the system is stable, enterprises can converge from different initial game states to equilibrium states. The adoption of a delay strategy will not affect the tendency of convergence to the equilibrium. Furthermore, the system using the variable feedback control method is of higher stability. [ABSTRACT FROM AUTHOR]

Although the prices of cryptocurrencies remained volatile for the past decade, the factors that impact the price dynamics of the new type of investment instrument have not been fully identified yet. In this study, we recognize the dual nature of cryptocurrencies, that is, being a software program and a financial instrument, and examine the impact of software advancement on the price dynamics of cryptocurrencies. The open-source software (OSS) platform functionality enables social behaviors that we use as signals. Using data from the largest OSS platform, we establish the connection between open-source activities and the price movement of cryptocurrency. In particular, as project popularity (forks and watches) and users' feedback (issues) increase, the market price increases by 4.3 percent, 2.4 percent, and 4.4 percent per annum, respectively. On the contrary, the number of code corrections (pull requests) is negatively related to prices leading to a 5 percent annual price decrease. Our results suggest that OSS contributions create a perfect selection mechanism, where higher quality projects receive more developers' attention and user feedback, whereas lower quality projects do not, thus creating the separating equilibrium. [ABSTRACT FROM AUTHOR]