Brand Name Types and Consumer Demand: Evidence from China's Automobile Market
In: Journal of Marketing Research, 56 (1), 158-175
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In: Journal of Marketing Research, 56 (1), 158-175
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In: Habitat international: a journal for the study of human settlements, Band 61, S. 9-21
In: Health Economics, Band 24
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In: Proceedings of the 18th International Symposium on Advancement of Construction Management and Real Estate, S. 349-358
In: SUSMAT-D-23-01511
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In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 255, S. 114788
ISSN: 1090-2414
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 203, S. 110974
ISSN: 1090-2414
This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 71971135, Grant 71571166, Grant 72071056, and Grant 71910107002, in part by the Innovative Talent Training Project of Graduate Students in Shanghai Maritime University of China under Grant 2019YBR017, and in part by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033. ; This article presents a theoretical framework for a dynamic feedback mechanism in group decision making (GDM) by the implementation of an attitudinal consensus threshold (ACT) to generate recommendation advice for the identified inconsistent experts with the aim to increase consensus. The novelty of the approach resides in its ability to implement the ACT continuously, which allows the covering of all possible consensus states of the group from its minimum to maximum consensus degrees. Therefore, it can be flexibly applied to GDM problems with different consistency requirements. A sensitivity analysis method with visual simulation is proposed to support the checking of the numbers of experts involved in the feedback process and the minimum adjustment cost associated with the different ACT intervals. Experimental results show that an increase in the ACT value will lead to an increase in the number of experts and adjustment cost involved in the feedback process. Eventually, a numerical example is included to simulate the feedback process under various decision making scenarios with different ACT intervals. ; National Natural Science Foundation of China (NSFC) 71971135 71571166 72071056 71910107002 ; Innovative Talent Training Project of Graduate Students in Shanghai Maritime University of China 2019YBR017 ; Spanish Government PID2019-103880RB-I00/AEI/10.13039/501100011033
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In: Progress in nuclear energy: the international review journal covering all aspects of nuclear energy, Band 98, S. 313-320
ISSN: 0149-1970
In: Materials and design, Band 126, S. 123-134
ISSN: 1873-4197
In: Materials and design, Band 219, S. 110824
ISSN: 1873-4197
In: Environmental science and pollution research: ESPR, Band 28, Heft 9, S. 10898-10908
ISSN: 1614-7499
In: HAZMAT-D-21-15250
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In: Child abuse & neglect: the international journal ; official journal of the International Society for the Prevention of Child Abuse and Neglect, Band 149, S. 106662
ISSN: 1873-7757
In: STOTEN-D-21-28144
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