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  • 1
    Online Resource
    Online Resource
    Wiley ; 2019
    In:  Production and Operations Management Vol. 28, No. 8 ( 2019-08), p. 1990-2007
    In: Production and Operations Management, Wiley, Vol. 28, No. 8 ( 2019-08), p. 1990-2007
    Abstract: Motivated by Google’s technology specifications on Android devices, we consider firms’ decisions on production timing in a co‐opetitive supply chain comprising a manufacturer and an original equipment manufacturer (OEM), where the manufacturer acts as the OEM’s upstream contract manufacturer and downstream competitor. We consider the market acceptance uncertainty of key product designs. If a firm decides to implement ex post production strategy (PS), it can delay the production until the market acceptance uncertainty of its product is resolved. Otherwise, ex‐ante production strategy (AS) is implemented. We find that, due to the co‐opetition, PS does not always benefit either the manufacturer or the OEM, because the value of delayed production is diminished as the competitor may commit a production quantity earlier under AS. Further, firms’ decisions on production timing are dependent on the degree of market acceptance uncertainty of their products and competition intensity. We find that both firms choose PS when uncertainty is high, while only one of them chooses PS when uncertainty is moderate or low. Interestingly, when the competition is intense, the manufacturer tends to choose PS, which can benefit from both the resolved market acceptance uncertainty and OEM’s early commitment of production quantity.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-7-14), p. 1-11
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-7-14), p. 1-11
    Abstract: With the advent of the Big Data era, the specialized data in the kill chain domain has increased dramatically, and the engine-based method of retrieving information can hardly meet the users' need for more accurate answers. The kill chain domain includes four components: control equipment, sensor equipment, strike equipment (weapon and platform), and evaluator equipment, as well as related data which contain a large amount of valuable information such as the parameter information contained in each component. If these fragmented and confusing data are integrated and effective query methods are established, they can help professionals complete the military kill chain knowledge system. The knowledge system constructed in this paper is based on the Neo4j graph database and the US Command simulation system to establish a target-oriented knowledge map of kill chain, aiming to provide data support for the Q & A system. Secondly, in order to facilitate the query, this paper establishes entity and relationship/attribute mining based on the continuous bag-of-words (CBOW) encoding model, bidirectional long short-term memory–conditional random field (BiLSTM-CRF) named entity model, and bidirectional gated recurrent neural network (BiGRU) intent recognition model for Chinese kill chain question and answer; returns the corresponding entity or attribute values in combination with the knowledge graph triad form; and finally constructs the answer return. The constructed knowledge map of the kill chain contains 2767 items (including sea, land, and air), and the number of parameters involved is 30124. The number of model parameters of the deep learning network is 27.9 M for the Q & A system built this time, and the accuracy rate is 85.5% after 200 simulated queries.
    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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  • 3
    Online Resource
    Online Resource
    Emerald ; 2023
    In:  Tourism Review Vol. 78, No. 1 ( 2023-01-20), p. 58-71
    In: Tourism Review, Emerald, Vol. 78, No. 1 ( 2023-01-20), p. 58-71
    Abstract: Este estudio pretende examinar la influencia de los beneficios y riesgos que tiene, para las jóvenes viajeras, su intención de visitar otros destinos de turismo nocturno. Asimismo, se compara las diferencias de trayectoria entre los viajes nocturnos y los de medianoche. Diseño/metodología/enfoque Se realizó una encuesta personal en Macao. Se utilizó un análisis multigrupo para explorar las diferencias entre los viajes nocturnos y los de medianoche. Resultados Los beneficios emocionales y epistémicos afectan positivamente las intenciones de comportamiento, el riesgo de seguridad afecta negativamente las intenciones de comportamiento, pero el riesgo de acoso sexual no influye en las intenciones de comportamiento. Los viajeros nocturnos prestan más atención a los beneficios emocionales que en los viajes a medianoche. Originalidad/valor Este estudio contribuye a la investigación sobre el turismo relacionado con las mujeres al ayudarnos a comprender las percepciones de los beneficios y riesgos del turismo nocturno de las jóvenes viajeras, especialmente los riesgos de género. Este estudio corrige nuestra idea de que las jóvenes viajeras no creen que el riesgo de acoso sexual afecte a su decisión de emprender viajes nocturnos. También contribuye a la investigación del turismo nocturno al distinguir la proporción de beneficios y riesgos en los viajes nocturnos y de medianoche.
    Type of Medium: Online Resource
    ISSN: 1660-5373 , 1660-5373
    RVK:
    Language: English
    Publisher: Emerald
    Publication Date: 2023
    detail.hit.zdb_id: 2412174-5
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Hindawi Limited ; 2020
    In:  Mobile Information Systems Vol. 2020 ( 2020-01-06), p. 1-8
    In: Mobile Information Systems, Hindawi Limited, Vol. 2020 ( 2020-01-06), p. 1-8
    Abstract: As a lightweight deep neural network, MobileNet has fewer parameters and higher classification accuracy. In order to further reduce the number of network parameters and improve the classification accuracy, dense blocks that are proposed in DenseNets are introduced into MobileNet. In Dense-MobileNet models, convolution layers with the same size of input feature maps in MobileNet models are taken as dense blocks, and dense connections are carried out within the dense blocks. The new network structure can make full use of the output feature maps generated by the previous convolution layers in dense blocks, so as to generate a large number of feature maps with fewer convolution cores and repeatedly use the features. By setting a small growth rate, the network further reduces the parameters and the computation cost. Two Dense-MobileNet models, Dense1-MobileNet and Dense2-MobileNet, are designed. Experiments show that Dense2-MobileNet can achieve higher recognition accuracy than MobileNet, while only with fewer parameters and computation cost.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2187808-0
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2022
    In:  Research in International Business and Finance Vol. 59 ( 2022-01), p. 101564-
    In: Research in International Business and Finance, Elsevier BV, Vol. 59 ( 2022-01), p. 101564-
    Type of Medium: Online Resource
    ISSN: 0275-5319
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2165501-7
    detail.hit.zdb_id: 424514-3
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2023
    In:  Manufacturing & Service Operations Management Vol. 25, No. 2 ( 2023-03), p. 686-703
    In: Manufacturing & Service Operations Management, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 25, No. 2 ( 2023-03), p. 686-703
    Abstract: Problem definition: In this paper, we explore how a firm’s concern about profit distribution and the size of downstream firms in supply chains affect corporate social responsibility (CSR) investment strategy. Methodology/results: In a supply chain consisting of one supplier and one manufacturer, both players decide whether to invest to reduce CSR violations, and they negotiate over a wholesale price. Distributive comparison behavior makes the manufacturer compare the profit with his equitable payoff, which is determined by the supplier’s profit. Advantageous (resp. disadvantageous) inequality occurs when the manufacturer’s profit is higher (resp. lower) than the manufacturer’s equitable payoff. We compare this supply chain to the one without distributive comparison behavior. We find that when advantageous inequality occurs, or when neither inequality occurs and the manufacturer’s sensitivity to the supplier’s profit is low, the manufacturer’s distributive comparison behavior makes the manufacturer less (resp. supplier more) likely to invest in CSR, which we call negative (resp. positive) impacts of distributive comparison behavior; otherwise, it makes the manufacturer more (resp. supplier less) likely to invest. In most cases, the weak bargaining power of the small manufacturer leads to larger positive or smaller negative impacts of distributive comparison behavior. Also, the low efficiency of the small manufacturer to reduce CSR violations leads to smaller negative impacts of distributive comparison behavior. Managerial implications: Our results show that governments and nongovernmental organizations (NGOs) should investigate firms’ distributive comparison behavior in supply chains. When downstream firms show the aversion to lower (resp. higher) profits than ones from upstream firms, the measures to monitor and support upstream (resp. downstream) firms’ CSR investments should be taken to avoid CSR violations. In the supply chains with small downstream firms, extra efforts should be made to induce firms’ distributive comparison behavior. Funding: M. Wang was supported partially by the National Natural Science Foundation of China [Grants 71931009 and 71671023]; X. Fang is grateful for the support under a Lee Kong Chian Fellowship and Retail Centre of Excellence Research Grant; Z. Wang was supported partially by the National Natural Science Foundation of China [Grants 72010107002, 71671023, and 72171212] ; and Y. Chen was supported partially by the Research Grants Council of the Hong Kong Special Administrative Region, China [HKUST C6020-21GF]. Supplemental Material: The e-companion is available at https://doi.org/10.1287/msom.2022.1172 .
    Type of Medium: Online Resource
    ISSN: 1523-4614 , 1526-5498
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2023
    detail.hit.zdb_id: 2023273-1
    SSG: 3,2
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  • 7
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-7-7), p. 1-12
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-7-7), p. 1-12
    Abstract: With the continuous improvement of the national medical system, health monitoring combined with cloud computing and Internet of Things has become a concern. This study mainly discusses the design of the medical health monitoring IoT system based on cloud computing. From the user to the health service provider, there are three devices: sensor terminal, gateway terminal, and service platform. The sensor terminal is used to measure physiological indicators, such as blood pressure, electrocardiogram, blood oxygen saturation, heart rate, and other physiological indicators; the gateway terminal is used to link the sensor terminal to receive physiological indicators and forward them to the business platform; the gateway is also used to receive health information and other instructions issued by the server. In the community service mode, users can be divided into groups according to the community and region, and the corresponding service doctors and agent customer service personnel (nurses) can be assigned. Users can collect personal physiological indicators at home or outside through the medical terminal. These indicators and information are transmitted to the background health platform system through the mobile GSM-TD communication network. Users can also view their own historical health records and opinions of health consultants through the web/WAP website. Through the integration ability of the health cloud platform, relying on the interconnection with HIS, LIS, and other information systems of professional medical institutions, we jointly operate special value-added services, such as appointment registration, maternal and child healthcare, and medical communication (doctor-patient interaction), so that users can enjoy the remote service and guidance of professional medical institutions by subscribing to health value-added services. The CPU utilization rate is 40%, the internal utilization rate is 7.44 G, the memory utilization rate is 11.8%, and the network bandwidth is 591.87 M. During the whole test process, the indicators are stable, and there are no restart, crash, and other phenomena, so the system performance meets the design requirements.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
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  • 8
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-5-11), p. 1-13
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-5-11), p. 1-13
    Abstract: Because the current methods used in mining engineering image feature recognition have some problems, such as poor classification accuracy, operation efficiency, and inability to recognize rotation features, in order to promote the development of mineral processing in China and improve resource recovery, simulated annealing algorithm is applied to the process of mining engineering image feature extraction in this paper. Based on the simulated annealing algorithm, this paper introduces the image recognition technology based on the simulated annealing algorithm and uses this image recognition technology to study the separation of ore and rock according to the differences between ore and waste rock in morphology and R, G, and B primary color components. At the same time, based on the local binary mode theory, the local variance of pixels is calculated successively to obtain the variance diagram of mining engineering image. At the same time, the simulated annealing algorithm is used to calculate the vector in each direction in the variance diagram of mining engineering image, and then, the vector is combined as the image eigenvalue. The obtained eigenvalue is combined with the binary pattern feature to realize mining recognition method and feature recognition. Finally, the experimental research shows that the algorithm proposed in this paper can quickly extract the spatial data information of mining engineering image variance and reuse the information of image local binary pattern. Compared with the traditional mining engineering image feature extraction algorithm, the recognition accuracy of this algorithm can reach 85%.
    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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  • 9
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-10-6), p. 1-11
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-10-6), p. 1-11
    Abstract: With the intelligent development of the society and the development of the big data era, the network intelligence applications in various fields have deeply penetrated them, and colleges and universities, as the place where information technology is most widely used, have been profoundly affected by the network intelligence. In this context, besides the traditional use of digitalization, informatization, and networking to assist in managing students’ studies and life, the work of the main body of student management in colleges and universities is also gradually developing towards intelligence. In the research of this study, through the application and development of network intelligence, the intelligent research of college student management is carried out by using the technical advantages of massive data access, so as to improve the motivation of college student management subjects through intelligence, make students feel the orderly and reliable humanized management while improving the efficiency of student management, and provide sufficient technological guarantee for college management.
    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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  • 10
    Online Resource
    Online Resource
    Emerald ; 2023
    In:  Tourism Review Vol. 78, No. 3 ( 2023-05-25), p. 927-948
    In: Tourism Review, Emerald, Vol. 78, No. 3 ( 2023-05-25), p. 927-948
    Abstract: Este estudio persigue investigar los beneficios percibidos derivados de la actividad turística en lugares afectados por catástrofes naturales, para así analizar la influencia que dichos beneficios ejercen sobre la satisfacción y el comportamiento planificado, e identificar el papel moderador de la región de origen. Diseño/metodología/enfoque Se elaboró un modelo de investigación que contiene las variables de motivación por el turismo oscuro, beneficio percibido, satisfacción, protección e intenciones de lealtad, así como la variable moderadora origen. Tomando como área de investigación el Museo Conmemorativo del Terremoto de Wenchuan 5.12, los datos fueron obtenidos distribuyendo cuestionarios in situ. La técnica de análisis de datos aplicada fue el Modelado de Ecuaciones Estructurales de Mínimos Cuadrados Parciales (PLS-SEM) Hallazgos La motivación por el turismo oscuro tuvo un efecto significativo en los beneficios cognitivos y afectivos, y los beneficios percibidos afectaron significativamente a la satisfacción, protección e intenciones de lealtad, siendo la satisfacción lo que desempeña un papel mediador parcial. El origen de los turistas mostró un papel moderador en cuanto a la relación de influencia de los beneficios percibidos. Originalidad/valor Esta investigación adoptó una nueva perspectiva en el comportamiento de toma de decisiones en los turistas de turismo oscuro, analizó los beneficios percibidos del turismo de oscuro en los lugares donde se produjeron las catástrofes naturales, y examinó la relación entre los beneficios percibidos y la motivación, la satisfacción, la protección y la intención de lealtad. Teniendo en cuenta la especificidad de las emociones del turismo oscuro, la investigación también analizó las similitudes y diferencias entre la psicología y el comportamiento de los turistas locales y no locales en lo respectivo al turismo oscuro. Los resultados de la investigación enriquecen y ofrecen un acercamiento más profundo a los estudios teóricos del turismo oscuro.
    Type of Medium: Online Resource
    ISSN: 1660-5373 , 1660-5373
    RVK:
    Language: English
    Publisher: Emerald
    Publication Date: 2023
    detail.hit.zdb_id: 2412174-5
    SSG: 3,2
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