A Two-Stage Insga-Ii Approach for Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics
In: CAOR-D-23-00892
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In: CAOR-D-23-00892
SSRN
In: Defence Technology, Band 28, S. 23-32
ISSN: 2214-9147
SSRN
In: Environmental science and pollution research: ESPR, Band 24, Heft 15, S. 13414-13423
ISSN: 1614-7499
In: Journal of consumer behaviour, Band 7, Heft 6, S. 424-435
ISSN: 1479-1838
AbstractCultural content has been examined in consumer adoption of new products, whereas the relationship between enduring cultural beliefs and adoption remains unexplored. In this study, proactive superstitious behaviors (e.g., carrying a lucky charm) and passive superstitious beliefs (e.g., belief in fate) were empirically tested as antecedents of consumer novelty seeking (CNS) and consumer independent judgment making (CIJM). The results suggest that proactive superstitious beliefs positively influence CNS, whereas passive beliefs negatively influence CNS. Only passive superstitious beliefs positively influence CIJM. Results also suggest that previous superstition scales are incomplete and fail to reflect contemporary thinking about superstitious beliefs.Copyright © 2008 John Wiley & Sons, Ltd.
In: Waste management: international journal of integrated waste management, science and technology, Band 178, S. 339-350
ISSN: 1879-2456
In: Environmental science and pollution research: ESPR, Band 31, Heft 3, S. 3376-3393
ISSN: 1614-7499
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 258, S. 114981
ISSN: 1090-2414
In: Communication and the public: CAP, Band 8, Heft 2, S. 54-80
ISSN: 2057-0481
During the Russia–Ukraine conflict, social media has become an outlet for public opinion; therefore, besides the hot war, information warfare is also taking place. It was discovered that a large number of new social bot accounts had emerged on Twitter since the outbreak of the conflict. In particular, the Twitter account @UAWeapons has grown its following by hundreds of thousands in fewer than 30 days and has established itself as an influential opinion leader. Through data mining and three different analysis methods, this study investigated how social bots grew to influence public opinion. Specifically, time-series analysis revealed an unusual pattern of "pulsing" changes in the number of tweets posted by @UAWeapons over time. The content analysis illustrated that the account posted biased tweets in favor of Ukraine under the guise of being a neutral messenger, which led to frequent retweets from social bots with similar opinions. Finally, the results of the social network analysis indicated that @UAWeapons' rapid growth might be attributed to a strategy of network clustering implemented by a core group of social bot accounts.
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 248, S. 114328
ISSN: 1090-2414
In: Psychoanalysis and psychotherapy in China, Band 5, Heft 1, S. 136-145
ISSN: 2632-0142
This article introduces an Online Emotional Support Accompany Group (OESAG) which was created in China during the Covid-19 pandemic, and first implemented in February 2020. We outline its background and theory of its design, online working platform, staffing, procedures of operation, and review its application during the pandemic. We include feedback from participants and leaders that indicate that these groups made a contribution to resilience in a time of major social stress.
In: Land use policy: the international journal covering all aspects of land use, Band 106, S. 105460
ISSN: 0264-8377
In: Vestnik of Saint Petersburg University. International relations, Band 13, Heft 1, S. 20-32
ISSN: 2658-3615
In: Environmental science and pollution research: ESPR, Band 24, Heft 12, S. 11573-11581
ISSN: 1614-7499
In: Materials and design, Band 94, S. 9-16
ISSN: 1873-4197