Interplay of Multilingual Packaging Products on Tourists’ Affective and Cognitive Responses in the Context of Ocean and Coastal Tourism: The Evidence from Greater Bay Area (Gba) DOI
Yingqi Wu,

Qianru Lin,

Tingxuan Zhang

и другие.

Опубликована: Янв. 1, 2024

Rеcognizing thе pivotal role of languagе in product packaging as a catalyst for stimulating tourists' purchasing motivation, tourism еntеrprisеs arе incrеasingly attеntivе to this phеnomеnon. Whilе prior rеsеarch prеdominantly focusеd on impact dеvеlopmеnt intrinsic critical gap еxists comprеhеnding broadеr influеncе intеrnal knowlеdgе rеsеrvеs and corrеsponding structurеs purchasе motivation. In the context Greater Bay Area (GBA), study endeavors address conspicuous lacuna existing literature pertaining ocean coastal by evaluating how structurе shapеs еffеctivеnеss multilingual packaging. Thrее distinct studiеs wеrе conductеd еxplorе objеctivе: Study 1, titlеd "Comе Along Ridе," dеlvеs into information rеtriеval bеhavior; 2 draw symbolic appreciation еxaminе modularizеd comprеhеnsion, 3, "Lеarn As You Go," еxplorеs sеquеntial lеarning. Each еlucidatеs variеd impacts thеsе cognitivе dimеnsions activating intentions purchase offerings. destination tourism, we applied structural equation modeling with samplе sizе 236 participants 1 249 Studiеs proposеd concеptual modеl was rigorously tеstеd. Thе findings undеrscorе significant mеdiating rolеs playеd еlеmеnts associatеd bеhavior, lеarning rеlationship bеtwееn intеntions offеrings. Notably, bеhavior еxhibits notеworthy nеgativе еffеct, suggеsting that cеrtain aspеcts may impеdе intеntions. contrast, both comprеhеnsion dеmonstratе considеrablе positivе impacts, indicating procеssеs significantly еnhancе likеlihood tourists intеnding This contributes еxpansion travеl motivation GBA.

Язык: Английский

Spatial-temporal evolution characteristics and spillover effects of carbon emissions from shipping trade in EU coastal countries DOI
Lang Xu, Zhihui Yang, Jihong Chen

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 250, С. 107029 - 107029

Опубликована: Янв. 31, 2024

Язык: Английский

Процитировано

37

Analyzing spatio-temporal variability of aquatic productive components in Northern Bay of Bengal using advanced machine learning models DOI

Jay Karmakar,

Ismail Mondal, SK Ariful Hossain

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 251, С. 107074 - 107074

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

12

Spatial-temporal characteristics of port infrastructures on sulfur-oxide concentrations of coastal port in China DOI
Lang Xu,

Jiyuan Wu,

Qingfeng Zhao

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 258, С. 107399 - 107399

Опубликована: Окт. 2, 2024

Язык: Английский

Процитировано

10

Sustainable Digital Shifts in Chinese Transport and Logistics: Exploring Green Innovations and Their ESG Implications DOI Open Access

Linxuan Yu,

Jing Xu,

Xiang Yuan

и другие.

Sustainability, Год журнала: 2024, Номер 16(5), С. 1877 - 1877

Опубликована: Фев. 25, 2024

This study, situated in the context of China’s transportation and logistics industry, explores impact digital transformation on corporate environmental, social, governance (ESG) performance, as well role played by green innovation. Analyzing data from 95 A-share listed companies 2011 to 2021, this paper examines relationship between ESG drawing information asymmetry agency theories. The research finds that significantly elevates levels, with more pronounced effects state-owned large enterprises. degree financing constraints modulates relationship, indicating a stronger enhancement performance under lower constraints. Moreover, innovation serves mediator revealing boosts outcomes through fostering contribution study lies providing new insights into specific industry context, expanding field lens mechanisms conditions, underscoring central mediating influence

Язык: Английский

Процитировано

9

Trends of digitalization, intelligence and greening of global shipping industry based on CiteSpace Knowledge Graph DOI
Jihong Chen,

Xitao Zhang,

Lang Xu

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 255, С. 107206 - 107206

Опубликована: Июнь 14, 2024

Язык: Английский

Процитировано

9

Methodology for Predicting Maritime Traffic Ship Emissions Using Automatic Identification System Data DOI Creative Commons

João N. Ribeiro da Silva,

Tiago A. Santos, A.P. Teixeira

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(2), С. 320 - 320

Опубликована: Фев. 13, 2024

This paper develops a methodology to estimate ship emissions using Automatic Identification System data (AIS). The includes methods for AIS message decoding and emission estimation based on the ship’s technical operational characteristics. A novel approach type identification visited port terminal is described. implemented in computational tool, SEA (Ship Emission Assessment). First, accuracy of method assessed then validated by comparing its predictions with those two other methodologies. tool applied three case studies maritime traffic along Portuguese coast Lisbon one month. first study compares estimated ferry cruise ship, emitting much less than ship. second estimates geographical distribution Lisbon, terminals corresponding areas heavier concentration exhaust emissions. third focuses from container sailing continental Portugal, differing considerably since it operates exclusively cruising mode.

Язык: Английский

Процитировано

7

Smart regulations in maritime governance: Efficacy, gaps, and stakeholder perspectives DOI Creative Commons
Eunice Omolola Olaniyi, María Claudia Solarte-Vásquez, Tommi Inkinen

и другие.

Marine Pollution Bulletin, Год журнала: 2024, Номер 202, С. 116341 - 116341

Опубликована: Апрель 11, 2024

The paper explores maritime environmental regulations, analyzing industry perspectives and their operational execution. It critically assesses the International Maritime Organization (IMO) regulations' effectiveness in mitigating climate challenges within shipping domain. central argument is that evolving intricate nature of regulations often impedes policy goal realization, enforcement, impact evaluation, equity perception. Utilizing both quantitative qualitative methodologies, this research gathers, analyses, interprets data via surveys interviews. This exploration seeks to evaluate on reducing shipping's negative impact, especially concerning emissions, waste management, noise pollution, under umbrella smart regulations. results indicate current regulatory approach neither comprehensive nor immediate, necessitating a more agile, digitally enabled framework adapt fast-changing conditions.

Язык: Английский

Процитировано

7

Investigation of ship energy consumption based on neural network DOI
Yaqing Shu, Benshuang yu, Wei Liu

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 254, С. 107167 - 107167

Опубликована: Май 10, 2024

Язык: Английский

Процитировано

7

Integrated strategies for management and mitigation of beach accidents DOI

Stephen P. Leatherman,

Stephen Leatherman, Nelson Rangel-Buitrago

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 253, С. 107173 - 107173

Опубликована: Май 6, 2024

Язык: Английский

Процитировано

6

China’s law and policy framework for maritime safety regulation of alternative fuel ships in the decarbonization transition DOI
Qiuwen Wang, Zhang Hu,

Shutong Xi

и другие.

Marine Policy, Год журнала: 2024, Номер 163, С. 106142 - 106142

Опубликована: Апрель 8, 2024

Язык: Английский

Процитировано

5