Journal of Management Science and Engineering最新文献

This study proposes a novel and more efficient quantum algorithm for portfolio optimization using quantum combinatorial optimization (QCO) techniques. A recent construction developed in 2021 has sparked the field of financial portfolio optimization through the Quantum Walk Optimization Algorithm (QWOA). In this study, we investigated the complexity and efficiency of quantum optimization algorithms with a special interest in QWOA. The objective is to minimize investment risk by having a good combination of assets in the portfolio. We also focused on reducing the number of iterations while attaining a high-quality resolution through contraction of the solution space to ease computations. The concept of QWOA was extended by constructing a newly outperforming scheme known as the “Quantum Mix Optimization Algorithm (QMOA).” QMOA algorithm codes were provided for the implementation and simulation of numerical results. In addition, the efficiency of QMOA, which is better than the existing QCO algorithms, was discussed. For instance, the least QWOA number of computations required to execute the initial state equation was p > 2, whereas this value was p ≥ 2 in the proposed QMOA.

Under the combined effects of inventory-level-dependent demand (ILDD) and trade credit, the retailer is able to order more quantities to stimulate market demand. However, from the supplier's perspective, two important issues are lacking sufficient attention. First, during the credit period, the retailer's higher order quantities imply increases in both the retailer's account payable and the supplier's opportunity cost of capital. Second, given the supplier's fixed production rate, the increased market demand may drive the capacity utilization to be variable. Thus, by formulating a supplier-dominated system, this paper incorporates trade credit limit (TCL) to address its effects on optimal policies vis-à-vis the item with ILDD. Specifically, three indicators can be proposed to reveal which type of financing policy the retailer should choose. Moreover, based on TCL, the supplier can effectively manage the retailer's order quantity and the corresponding account payable. Additionally, the retailer's maximum allowable order quantity is developed to ensure that the supplier can supply the retailer's order quantity on time. Furthermore, when the effects of ILDD become more significant, the manufacturer will reduce the maximum allowable order quantity to control the retailer's order incentive.

When selling multiple products with asymmetric uncertainty, should the seller disclose product information so that customers do not have to incur any cost to resolve their uncertainties; if so, which product should the seller choose? To address these questions, we consider a monopolist selling two substitutable products to a group of consumers. Each consumer has asymmetric uncertainty regarding the two products. A total of four different information provision structures are considered based on whether the seller discloses information about each product with the aim of determining which strategy provides the seller with the greatest revenue. We derive several interesting results. First, the optimal information provision strategy depends on the magnitude of uncertainty in relation to the product with lower uncertainty. Specifically, if the uncertainty regarding the product with lower uncertainty is sufficiently small, it is optimal for the seller to provide information about the product with higher uncertainty, otherwise, the seller should provide information about both products. Second, when only one product's information should be revealed, it is optimal for the seller to choose the product with higher uncertainty and charge a higher price. Third, withholding information on both products is never optimal for the seller. Finally, our main model is extended by examining the Mean-Preserving Spread setting, and the robustness of our main results is confirmed. Furthermore, we examine the situation in which a monopolist sells a single product with two main attributes. We find that each of the four information provision strategies can be optimal under various scenarios.

This study extends the multi-asset model of Huang et al. (2017), who examine only two types of investors, by adding a new investor type with partial information on the correlation coefficient and re-explores the limited participation phenomenon under correlation ambiguity. We investigate whether asset allocations depend on incomplete information under market equilibrium—specifically, whether investors with less information might hold greater equilibrium positions than investors with more information. We find that, as the true correlation coefficient (and the maximum correlation coefficient for ambiguity-averse investors) increases and asset quality increases, investors with less information escape from low- to high-quality assets, thus exhibiting a flight-to-quality trading pattern in equilibrium.

With strong government advocacy and encouragement, many manufacturers hope to enter the remanufacturing market. Manufacturers who have entered the remanufacturing market hope to increase their profits through effective decision-making. Using game-theoretic models, this study investigates manufacturers’ conditions for introducing remanufactured products and the production decisions after the introduction by constructing a consumer utility model. Our study demonstrates that manufacturers’ decision-making method directly affects their decision to introduce remanufactured products. If a manufacturer plans to introduce remanufactured products, they should adopt a centralized decision-making method for the two products. Under this decision-making method, when the ratio of the government subsidy to the cost of new products is not too large or too small, the manufacturer can introduce remanufactured products. Additionally, the range of the ratio of the government subsidy to the cost of new products is related to the difference between the ratio of the cost of remanufactured products to that of new products and the substitutability of the remanufactured products. Therefore, when formulating a subsidy, the government should control it within a reasonable range and formulate differentiated subsidy strategies based on different enterprises’ specific conditions to give full play to the benefits of the government subsidy. Moreover, after the manufacturer has introduced remanufactured products, the consumer surplus and manufacturer’s profit increase with the government subsidy. However, social welfare increases only when the government subsidy is within a reasonable range. Furthermore, compared with subsidizing consumers, it is found that subsidizing the manufacturer does not affect their profit, the consumer surplus, and social welfare; however, the range within which the manufacturer can introduce remanufactured products narrows.

Using monthly data from the Shenzhen Stock Exchange's ‘Hudongyi’ platform and comment letters from December 2014 to December 2018, this study investigates the influence of interactive information disclosure on non-penalty regulatory review risk. The findings reveal that the richness and activeness of interactive information disclosure are positively associated with regulatory review risk. Moreover, the non-penalty regulatory review is effective as it significantly reduces the probability of receiving a comment letter in the subsequent three periods. The timeliness of interactive information disclosure is negatively associated with regulatory review risks. Additionally, we find that newspaper media coverage partially mediates the relationship between interactive information disclosure and regulatory review risk. For companies with low levels of internal governance, in low-competitive industries, and state-owned companies, the positive relationship between the number of investor questions and regulatory review risk is strengthened. These findings enrich the literature on the determinants of regulatory review risk and the economic consequences of interactive information disclosure in emerging markets.

This study considers a supply chain consisting of a commodity supplier and a final product manufacturer with uncertain demand. In addition to purchasing from the supplier through a forward contract, the manufacturer can adjust their inventory by trading the commodity in an online spot market after observing the actual demand. However, the spot market is imperfect in that transactions cannot be certainly realized and come with additional transaction costs. Furthermore, the spot price is volatile such that overly relying on the spot market is unwise. To investigate how the spot market affects the decisions and coordination in a supply chain, we develop a game-theoretical model incorporating spot trading. We derive the optimal ordering decision in a centralized supply chain, as well as the supplier's and manufacturer's equilibrium pricing and ordering decisions in a decentralized supply chain. The impact of the imperfect spot market on the optimal decisions and profits is analyzed. This study also demonstrates how the supply chain can be coordinated in the presence of an imperfect spot market. Finally, a numerical analysis is performed to examine the analytical results. Our results indicate that the spot market can generally improve the performance of the centralized supply chain and benefit the manufacturer in the decentralized one. However, it can be detrimental to the supplier. The supply chain can be coordinated by a revenue-sharing contract, and both parties' profits can be improved. Our findings suggest that the manufacturer could take advantage of the spot market, and the supplier should attempt to integrate or coordinate the supply chain to share the benefits of spot trading.

Efforts to provide alternative resources and technologies for producing liquid fuel have recently been intensified. Different levels of dependence on oil imports and carbon prices have a significant impact on the composition of the cost-minimizing portfolio of technologies. Considering such factors, how should China plan its future liquid fuel industry? The model for supporting the technology portfolio and capacity configuration that minimizes the total system cost until 2045 is described in this study. The results obtained for different carbon prices and levels of dependence on oil import indicate that the oil-to-liquid fuel (OTL) will remain dominant in China's liquid fuel industry over the next three decades. If the carbon price is low, the coal-to-liquid fuel (CTL) process is competitive. For a high carbon price, the biomass-to-liquid fuel (BTL) technology expands more rapidly. The results also reveal that developing the BTL and CTL can effectively reduce the oil-import dependency; moreover, a high carbon price can lead to the CTL being replaced with the low-carbon technology (e.g., BTL). Improvement in energy raw material conversion and application of CO₂ removal technologies are also effective methods to control carbon emissions for achieving the carbon emission goals and ultimately emission reduction targets.

In this paper, we propose a novel model for pricing double barrier options, where the asset price is modeled as a threshold geometric Brownian motion time changed by an integrated activity rate process, which is driven by the convolution of a fractional kernel with the CIR process. The new model both captures the leverage effect and produces rough paths for the volatility process. The model also nests the threshold diffusion, Heston and rough Heston models. We can derive analytical formulas for the double barrier option prices based on the eigenfunction expansion method. We also implement the model and numerically investigate the sensitivities of option prices with respect to the parameters of the model.