Exploring computer-based multilingual negotiation support for English-Chinese dyads: can we negotiate in our native languages?

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Title: Exploring computer-based multilingual negotiation support for English-Chinese dyads: can we negotiate in our native languages?
Authors: Lim J (AUTHOR), Yang YP (AUTHOR)
Source: Behaviour & Information Technology. Mar/Apr2008, Vol. 27 Issue 2, p139-151. 13p.
Abstract: The increasing number of international negotiations involving multiple languages has triggered a growing reliance on computer-based multilingual support. Whereas empirical studies on negotiation support systems (NSS) have shown that NSS generally improve negotiation performance, very few NSS exist that cater for multilingual negotiations. With multilingual support, international negotiators of different language backgrounds are expected to address communication barriers and problems. This study involves the development of an NSS prototype with multilingual support as well as a laboratory experiment to examine the efficacy of such support on six important negotiation outcome variables (individual outcome, joint outcome, equality of outcome, time to settlement, satisfaction with process and satisfaction with outcome). Findings suggested significant effects of NSS support on individual outcome and joint outcome. Multilingual support helped to improve equality of outcome (under qualified conditions), but the time taken was significantly longer. The paper underlines the possibility and significance of computer-based multilingual support to address diverse linguistic groups in global negotiation context. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.)
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  Data: Exploring computer-based multilingual negotiation support for English-Chinese dyads: can we negotiate in our native languages?
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  Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Mar/Apr2008, Vol. 27 Issue 2, p139-151. 13p.
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  Data: The increasing number of international negotiations involving multiple languages has triggered a growing reliance on computer-based multilingual support. Whereas empirical studies on negotiation support systems (NSS) have shown that NSS generally improve negotiation performance, very few NSS exist that cater for multilingual negotiations. With multilingual support, international negotiators of different language backgrounds are expected to address communication barriers and problems. This study involves the development of an NSS prototype with multilingual support as well as a laboratory experiment to examine the efficacy of such support on six important negotiation outcome variables (individual outcome, joint outcome, equality of outcome, time to settlement, satisfaction with process and satisfaction with outcome). Findings suggested significant effects of NSS support on individual outcome and joint outcome. Multilingual support helped to improve equality of outcome (under qualified conditions), but the time taken was significantly longer. The paper underlines the possibility and significance of computer-based multilingual support to address diverse linguistic groups in global negotiation context. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.</i> (Copyright applies to all Abstracts.)
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        Text: English
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              Text: Mar/Apr2008
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