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  • 1
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Journal of Accounting Research Vol. 58, No. 1 ( 2020-03), p. 199-235
    In: Journal of Accounting Research, Wiley, Vol. 58, No. 1 ( 2020-03), p. 199-235
    Abstract: We develop a state‐of‐the‐art fraud prediction model using a machine learning approach. We demonstrate the value of combining domain knowledge and machine learning methods in model building. We select our model input based on existing accounting theories, but we differ from prior accounting research by using raw accounting numbers rather than financial ratios. We employ one of the most powerful machine learning methods, ensemble learning, rather than the commonly used method of logistic regression. To assess the performance of fraud prediction models, we introduce a new performance evaluation metric commonly used in ranking problems that is more appropriate for the fraud prediction task. Starting with an identical set of theory‐motivated raw accounting numbers, we show that our new fraud prediction model outperforms two benchmark models by a large margin: the Dechow et al. logistic regression model based on financial ratios, and the Cecchini et al. support‐vector‐machine model with a financial kernel that maps raw accounting numbers into a broader set of ratios.
    Type of Medium: Online Resource
    ISSN: 0021-8456 , 1475-679X
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2060654-0
    detail.hit.zdb_id: 219360-7
    SSG: 3,2
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2021
    In:  Progress in Planning Vol. 146 ( 2021-04), p. 100436-
    In: Progress in Planning, Elsevier BV, Vol. 146 ( 2021-04), p. 100436-
    Type of Medium: Online Resource
    ISSN: 0305-9006
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 1497506-3
    SSG: 7,25
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  • 3
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-6-16), p. 1-15
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-6-16), p. 1-15
    Abstract: Loop closure detection is an important part of SLAM (simultaneous location and mapping), which can effectively reduce the cumulative error of the system after long period of exploration. The existing loop closure detection methods are mainly to evenly distribute the accumulated error in the robot trajectory, but the motion error of the actual robot is also related to its motion speed and rotation angle, while the corrected motion trajectory of the robot is difficult to match the real trajectory. Based on the analysis of the mechanism of robot motion error, this paper proposes a novel loop closure detection method based on differentiable manifold, which mainly includes real-time pose based on manifold tangent space and smooth motion trajectory model of robot based on differential geometry. Firstly, we introduce the Frenet framework structure and establish the corresponding manifold tangent space theory for the keyframe pose nodes. The real-time problem of robot motion is equivalent to the problem of finding the optimal angle tangent vector. Secondly, the motion speed between keyframes is used to determine the characteristics of the robot motion trajectory. We calculate the curvature and torsion of the curve composed of several nodes based on the manifold tangent space and then combine the curve interpolation and fitting of the keyframe nodes to achieve the approximation of the robot motion trajectory, and the smooth curve of the robot trajectory is obtained. Finally, the experiment verifies that the method in this paper can effectively ensure the continuity and smoothness of the robot’s trajectory, thereby reducing the cumulative error of the system and improving the accuracy of loop closure detection.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 4
    Online Resource
    Online Resource
    Elsevier BV ; 2007
    In:  Ecological Economics Vol. 63, No. 2-3 ( 2007-8), p. 463-475
    In: Ecological Economics, Elsevier BV, Vol. 63, No. 2-3 ( 2007-8), p. 463-475
    Type of Medium: Online Resource
    ISSN: 0921-8009
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2007
    detail.hit.zdb_id: 1002942-4
    detail.hit.zdb_id: 1500316-4
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-7-12), p. 1-8
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-7-12), p. 1-8
    Abstract: The rapid advancement of information technology, particularly big data and artificial intelligence technologies, has presented unprecedented opportunities and challenges to people from many walks of life, including Chinese medicine. How to combine traditional Chinese medicine (TCM) with artificial intelligence technology in the context of big data, as well as how to advance the theory of traditional Chinese medicine toward the world, is the question that needs to be answered. This study proposed the processing flow and overall framework of TCM health using big data and presented a feasible solution for the management and application of TCM big data. Next, the TCM Health Big Data ecosystem with cloud computing as the core technology is proposed to provide personal scientific and effective health management, protect the body from diseases, improve the physical and mental health, and improve the ability to adapt to the natural and social environment. The study summarizes the TCM cultural communication and health management using big data and achieves the goal of preventive treatment of disease.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 6
    Online Resource
    Online Resource
    EDP Sciences ; 2022
    In:  RAIRO - Operations Research Vol. 56, No. 5 ( 2022-09), p. 3499-3524
    In: RAIRO - Operations Research, EDP Sciences, Vol. 56, No. 5 ( 2022-09), p. 3499-3524
    Abstract: This paper investigates the optimal encroachment strategy of product customization and the revenue-sharing contract in a two-stage supply chain consisting of a contract manufacturer (CM) and an original equipment manufacturer (OEM). In addition to producing and wholesaling standard products for OEM, CM has the motive to manufacture customized products under store brand and encroach the end consumer market. Stackelberg game models with different strategies (encroachment or no-encroachment) under both decentralized and centralized supply chains are explored. Models analyzing CM’s encroachment with product customization are rare. Besides, this paper characterizes both vertical partnership and horizontal competitive relationships between supply chain members. The findings show that it is unprofitable to encroach on the retailing market for CM when the acceptance degree of store brand is low. There is a threshold value of customization level that can gain positive demand. Interestingly, as the Stackelberg leader, OEM always suffers from the encroachment. Then a revenue-sharing contract is designed that can fully integrate the decentralized supply chain and obtain a contract-implementing Pareto zone . Furthermore, a numerical example is developed, demonstrating the validity of the obtained analytical results. On this basis, some suggestions for industry managers are discussed in the form of managerial insights.
    Type of Medium: Online Resource
    ISSN: 0399-0559 , 2804-7303
    RVK:
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2022
    detail.hit.zdb_id: 1468388-X
    SSG: 3,2
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  • 7
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  International Transactions in Operational Research Vol. 27, No. 5 ( 2020-09), p. 2422-2448
    In: International Transactions in Operational Research, Wiley, Vol. 27, No. 5 ( 2020-09), p. 2422-2448
    Abstract: Supply chain finance is a crucial topic. In this paper, we consider that a capital‐constrained manufacturer can borrow money from either a bank (bank credit financing) or a retailer (trade credit financing). Our analysis compares supply chain performance under these two financing schemes. Furthermore, we extend our model to evaluate the impacts of retail competition and supply chain member's risk aversion on supply chains, which consist of one capital‐constrained manufacturer and two competing retailers. We consider three financing schemes: only bank credit financing, dual trade credit financing, and bank and trade credit mix financing. We find that without retail competition, the retailer is always willing to use the trade credit financing; whereas with retail competition, if one retailer provides the trade credit but the other does not, the credit provider could receive the superior profit. Thus, providing an appropriate trade credit financing scheme is critically important for retailers. Moreover, we find that without retail competition, when a trade interest rate is relatively low, both the retailer and manufacturer could reach a win‐win situation in the trade credit financing. However, with retail competition, supply chain members (i.e., two retailers and one manufacturer) will not have an all‐win situation no matter which specific financing scheme is adopted and only a win‐win‐lose situation exists when using the credit mix financing scheme or the dual trade credit financing in supply chains. Last but not least, regardless of risk neutrality or aversion of supply chain members, their pricing decisions among three financing schemes are similar. This implies that the impacts of supply chain members’ risk aversion are limited in supply chain financing scheme selection. More managerial insights are discussed.
    Type of Medium: Online Resource
    ISSN: 0969-6016 , 1475-3995
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2019815-2
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Wiley ; 2021
    In:  International Transactions in Operational Research Vol. 28, No. 4 ( 2021-07), p. 2033-2054
    In: International Transactions in Operational Research, Wiley, Vol. 28, No. 4 ( 2021-07), p. 2033-2054
    Abstract: This paper investigates the effectiveness of cooperative advertising in an online‐to‐offline (O2O) supply chain where the manufacturer cooperates with the retailer to implement buy‐online‐and‐pick‐up‐in‐store (BOPS) strategy. Considering the coexistence of channel cooperation and channel competition after the implementation of BOPS, we investigate the impact of BOPS on equilibrium results. Then we study the optimal cooperative advertising and pricing strategy of the O2O supply chain. We also identify the effectiveness of cooperative advertising on the O2O supply chain and supply chain members. We find that the implementation of BOPS can partially substitute the incentive effect of cooperative advertising. In addition, convenience coefficient and commission rate, the two key factors of BOPS, have opposite impacts on optimal decisions in most conditions. Therefore, the optimal strategy depends on the balance of the above two factors. Furthermore, we find that cooperative advertising does not always benefit the O2O supply chain and its members.
    Type of Medium: Online Resource
    ISSN: 0969-6016 , 1475-3995
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2019815-2
    SSG: 3,2
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  • 9
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2021
    In:  Management Science Vol. 67, No. 6 ( 2021-06), p. 3570-3595
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 67, No. 6 ( 2021-06), p. 3570-3595
    Abstract: Prior literature interprets the weak earnings response coefficient (ERC) of accounting losses as a manifestation either of lack of forward-looking information in losses or of market mispricing of losses. Based on return decomposition theory, I predict that losses contain information not only about future cash flows (i.e., cash flow news) but also, about risk (i.e., expected returns and discount rate news). However, these informational components have offsetting valuation effects, resulting in a muted ERC. Consistent with the prediction, I show that, after controlling for information about risk (mainly expected returns), the ERC of losses becomes statistically significant with more negative returns for larger losses when returns are measured either annually or around earnings announcements. Moreover, loss firms will continue to have poor future earnings and operating cash flows, and larger losses are associated with more negative analyst forecast revisions in the loss-reporting year. I also document that losses provide more negative cash flow information when they are not because of research and development expensing, when they trigger operational curtailments, and when they are less likely to reverse to profits. Further tests confirm the robustness of my findings to considering future return drifts/reversals, alternative proxies for expected returns and discount rate news, alternative test portfolios, and alternative model specifications. Overall, my paper provides new insights into the information content of losses. This paper was accepted by Suraj Srinivasan, accounting.
    Type of Medium: Online Resource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2021
    detail.hit.zdb_id: 206345-1
    detail.hit.zdb_id: 2023019-9
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  Journal of International Financial Management & Accounting
    In: Journal of International Financial Management & Accounting, Wiley
    Abstract: Focusing on a sample of 9387 observations in China over the period 2016−2019, this paper empirically examines whether the presentation reform of R & D expenses that is changed from notes to income statements, mitigates corporate financial constraints of Chinese listed companies. Findings offer evidence that the financial constraints of firms decrease after the policy change, which is owing to the alleviation of information asymmetry. Further analysis reveals that the effect of the presentation reform on financial constraints is less prominent among companies that are state‐owned, audited by the “Big four” and of higher institutional ownership. Overall, our study provides evidence supporting the influences of the format reform of financial reports and has implications for information users, regulators, and standard setters.
    Type of Medium: Online Resource
    ISSN: 0954-1314 , 1467-646X
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1052485-X
    detail.hit.zdb_id: 2016478-6
    SSG: 3,2
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