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  • 1
    Online Resource
    Online Resource
    Automatic Scoring Model of English Interpretation Based on Semantic Scoring
    Hindawi Limited ; 2023
    In:  Mobile Information Systems Vol. 2023 ( 2023-4-17), p. 1-8
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2023 ( 2023-4-17), p. 1-8
    Abstract: In order to explore how English interpreting can achieve automatic scoring, the author proposes an automatic scoring model for English interpreting based on semantic scoring. This method recommends key technical problems and solutions based on information represented by semantic scoring, and explores the research on how interpreting can achieve automatic scoring of oral examinations. Research has shown that, the automatic scoring of English interpretation based on semantic scoring is faster than traditional methods, and the efficiency is improved by about 75%. However, the current automatic scoring of interpreters faces huge challenges. It needs to be tested and improved in more teaching, learning, and testing practice. The automatic scoring of interpretation should consider multiple dimensions such as semantic accuracy, content integrity, expressive fluency, and language authenticity.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2023/4450347
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2187808-0
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  • 2
    Online Resource
    Online Resource
    A Dynamic Level- k Model in Sequential Games
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2013
    In:  Management Science Vol. 59, No. 2 ( 2013-02), p. 452-469
    Details
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 59, No. 2 ( 2013-02), p. 452-469
    Abstract: Backward induction is a widely accepted principle for predicting behavior in sequential games. In the classic example of the “centipede game,” however, players frequently violate this principle. An alternative is a “dynamic level-k” model, where players choose a rule from a rule hierarchy. The rule hierarchy is iteratively defined such that the level-k rule is a best response to the level-(k-1) rule, and the level-∞ rule corresponds to backward induction. Players choose rules based on their best guesses of others' rules and use historical plays to improve their guesses. The model captures two systematic violations of backward induction in centipede games, limited induction and repetition unraveling. Because the dynamic level-k model always converges to backward induction over repetition, the former can be considered to be a tracing procedure for the latter. We also examine the generalizability of the dynamic level-k model by applying it to explain systematic violations of backward induction in sequential bargaining games. We show that the same model is capable of capturing these violations in two separate bargaining experiments. This paper was accepted by Peter Wakker, decision analysis.
    Type of Medium: Online Resource
    ISSN: 0025-1909 , 1526-5501
    URL: Article
    DOI: 10.1287/mnsc.1120.1645
    RVK:
    QP 300
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2013
    detail.hit.zdb_id: 206345-1
    detail.hit.zdb_id: 2023019-9
    SSG: 3,2
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  • 3
    Online Resource
    Online Resource
    Distributional and Peer‐Induced Fairness in Supply Chain Contract Design
    Wiley ; 2014
    In:  Production and Operations Management Vol. 23, No. 2 ( 2014-02), p. 161-175
    Details
    In: Production and Operations Management, Wiley, Vol. 23, No. 2 ( 2014-02), p. 161-175
    Abstract: Members of a supply chain often make profit comparisons. A retailer exhibits peer‐induced fairness concerns when his own profit is behind that of a peer retailer interacting with the same supplier. In addition, a retailer exhibits distributional fairness when his supplier's share of total profit is larger than his own. While existing research focuses exclusively on distributional fairness concerns, this study investigates how both types of fairness might interact and influence economic outcomes in a supply chain. We consider a one‐supplier and two‐retailer supply chain setting, and we show that (i) in the presence of distributional fairness alone, the wholesale price offer is lower than the standard wholesale price offer; (ii) in the presence of both types of fairness, the second wholesale price is higher than the first wholesale price; and (iii) in the presence of both types of fairness, the second retailer makes a lower profit and has a lower share of the total supply chain profit than the first retailer. We run controlled experiments with subjects motivated by substantial monetary incentives and show that subject behaviors are consistent with the model predictions. Structural estimation on the data suggests that peer‐induced fairness is more salient than distributional fairness.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    URL: Article
    DOI: 10.1111/poms.2014.23.issue-2
    DOI: 10.1111/poms.12064
    RVK:
    QA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Peer-Induced Fairness in Games
    American Economic Association ; 2009
    In:  American Economic Review Vol. 99, No. 5 ( 2009-12-01), p. 2022-2049
    Details
    In: American Economic Review, American Economic Association, Vol. 99, No. 5 ( 2009-12-01), p. 2022-2049
    Abstract: People exhibit peer-induced fairness concerns when they look to their peers as a reference to evaluate their endowments. We analyze two independent ultimatum games played sequentially by a leader and two followers. With peer-induced fairness, the second follower is averse to receiving less than the first follower. Using laboratory experimental data, we estimate that peer-induced fairness between followers is two times stronger than distributional fairness between leader and follower. Allowing for heterogeneity, we find that 50 percent of subjects are fairness-minded. We discuss how peer-induced fairness might limit price discrimination, account for low variability in CEO compensation, and explain pattern bargaining. (JEL C72, D63)
    Type of Medium: Online Resource
    ISSN: 0002-8282
    URL: Article
    DOI: 10.1257/aer.99.5.2022
    RVK:
    QA 10000
    Language: English
    Publisher: American Economic Association
    Publication Date: 2009
    detail.hit.zdb_id: 203590-X
    detail.hit.zdb_id: 2009979-4
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  • 5
    Online Resource
    Online Resource
    Community’s experiential knowledge on the development of rural tourism competitive advantage: a study on Kampung Semadang – Borneo Heights, Sarawak
    Emerald ; 2017
    In:  Tourism Review Vol. 72, No. 2 ( 2017-06-19), p. 238-260
    Details
    In: Tourism Review, Emerald, Vol. 72, No. 2 ( 2017-06-19), p. 238-260
    Abstract: Rural tourism has emerged as one of the potential economic contributors to the country’s economic growth. To this extent, tourism stakeholders are aware of the rural tourism destination competitiveness where the development should be aligned with the objectives to achieve destination competitive advantage. Given the importance of studying factors that contribute to the development of rural tourism competitive advantage, the present study aimed to propose a research framework by identifying six predictors from the local community based on their experiential knowledge. Design/methodology/approach Data were gathered through a structured questionnaire survey where 144 respondents comprising local communities from Kampung Semadang – Borneo Heights, Sarawak, Malaysia – were involved. To assess the developed model, SmartPLS 2.0 (M3) was applied based on path modelling (measurement model assessment) followed by bootstrapping analysis (structural model assessment). Findings Interestingly, the findings revealed that the communities believed economic, socio-cultural and environmental impacts significantly contributes to the development of rural tourism competitive advantage. Additionally, communities from Kampung Semadang viewed that both community knowledge and support for tourism greatly affect the development of rural tourism destination competitive advantage. Surprisingly, there was no significant relationship between stakeholder involvement and rural tourism competitive advantage. Practical implications From a practical point of view, the findings of the study provide valuable information to tourism stakeholders and policy planners about the importance of tri-dimensional tourism impacts, as well as community knowledge and support in the development of rural tourism destination competitive advantage. In line with policy development or planning for rural tourism development, the tourism stakeholders should pay more concern on the tri-dimensional impacts, the importance of community knowledge about tourism and gaining the community support for tourism development to achieve the goal of competitiveness. Originality/value There is lack of study in investigating the development of rural tourism competitive advantage with a holistic framework. This paper studies the intended or unintended economic, socio-cultural and environmental impacts triggered by the tourism activities. This study has also investigated the local communities’ knowledge and supports toward tourism as the community efforts determine the success of a destination management, especially in the rural area. Stakeholder involvement was also examined as the collaboration among relevant parties to create competitive advantage is essential to achieve sustainable rural tourism.
    Type of Medium: Online Resource
    ISSN: 1660-5373
    URL: Article
    DOI: 10.1108/TR-12-2016-0056
    RVK:
    QA 10000
    Language: English
    Publisher: Emerald
    Publication Date: 2017
    detail.hit.zdb_id: 2412174-5
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    A Bayesian Level- k Model in n -Person Games
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2021
    In:  Management Science Vol. 67, No. 3 ( 2021-03), p. 1622-1638
    Details
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 67, No. 3 ( 2021-03), p. 1622-1638
    Abstract: In standard models of iterative thinking, players choose a fixed rule level from a fixed rule hierarchy. Nonequilibrium behavior emerges when players do not perform enough thinking steps. Existing approaches, however, are inherently static. This paper introduces a Bayesian level-k model, in which level-0 players adjust their actions in response to historical game play, whereas higher-level thinkers update their beliefs on opponents’ rule levels and best respond with different rule levels over time. As a consequence, players choose a dynamic rule level (i.e., sophisticated learning) from a varying rule hierarchy (i.e., adaptive learning). We apply our model to existing experimental data on three distinct games: the p-beauty contest, Cournot oligopoly, and private-value auction. We find that both types of learning are significant in p-beauty contest games, but only adaptive learning is significant in the Cournot oligopoly, and only sophisticated learning is significant in the private-value auction. We conclude that it is useful to have a unified framework that incorporates both types of learning to explain dynamic choice behavior across different settings. This paper was accepted by Manel Baucells, decision analysis.
    Type of Medium: Online Resource
    ISSN: 0025-1909 , 1526-5501
    URL: Article
    DOI: 10.1287/mnsc.2020.3595
    RVK:
    QP 300
    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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