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Available. Open Access. Open Access
Article
Publication date: 2 July 2018

Yin Kedong and Li Xuemei

Since 2000, China, along with the USA, UK, France, Japan and many other developed countries have drawn up new blueprints for the development of a marine economy. At present…

2393

Abstract

Purpose

Since 2000, China, along with the USA, UK, France, Japan and many other developed countries have drawn up new blueprints for the development of a marine economy. At present, international marine economics research has entered into a new period of development, and the research methods of ocean econometrics are becoming more complex and mature. The purpose of this paper is to review the progress of international marine econometrics research and gives the development direction of marine econometrics.

Design/methodology/approach

The Web of Science core collection database was utilized, harvesting data from 1996 to May 2018, measuring the marine economy research from 1,489 articles as its sample, using CiteSpace visualization analysis tools.

Findings

Mapping the knowledge map from annual international marine economic metrology, literature identification, keywords, involving disciplines and related journals, countries (regions) and research and analyzing the research status of reveals the research frontiers of international marine economy measurement (learning) by using CiteSpace.

Originality/value

The conceptions and characteristics of marine econometrics are defined and analyzed, and the theoretical method of marine econometrics is sorted out. Mapping the knowledge diagram of marine econometrics and discussing the research status of international marine economics, and clarifying the existing problems, future opportunities and challenges of international marine econometrics research.

Details

Marine Economics and Management, vol. 1 no. 1
Type: Research Article
ISSN: 2516-158X

Keywords

Available. Open Access. Open Access
Article
Publication date: 17 July 2023

Cecília Lobo, Rui Augusto Costa and Adriana Fumi Chim-Miki

This paper aims to analyse the effects of events image from host communities’ perspective on the city’s overall image and the intention to recommend the events and the city as a…

2434

Abstract

Purpose

This paper aims to analyse the effects of events image from host communities’ perspective on the city’s overall image and the intention to recommend the events and the city as a tourism destination.

Design/methodology/approach

The research used a bivariate data analysis based on Spearman’s correlation and regression analysis to determine useful variables to predict the intention to recommend the city as a tourism destination. Data collection was face-to-face and online with a non-probabilistic sample of Viseu city residents, the second largest city in the central region of Portugal.

Findings

The findings had implications for researchers, governments and stakeholders. From the resident’s point of view, there is a high correlation between the overall city image and the intention to recommend it as a tourism destination. Event image and the intention to recommend the event participation affect the overall city image. Results point out the resident as natural promoters of events and their city if the local events have an appeal that generates their participation. Conclusions indicated that cities need to re-thinking tourism from the citizen’s perspective as staycation is a grown option.

Originality/value

Event image by host-city residents’ perceptions is an underdevelopment theme in the literature, although residents’ participation is essential to the success of most events. Local events can promote tourist citizenship and reinforce the positioning of tourism destinations, associating them with an image of desirable places to visit and live.

Details

International Journal of Tourism Cities, vol. 9 no. 4
Type: Research Article
ISSN: 2056-5607

Keywords

Available. Open Access. Open Access
Article
Publication date: 23 November 2020

Riham Mohamed Talaat

Fashion clothing has always been an interesting area for scholarly research on consumer behavior. This paper seeks to gain a better understanding of the youth involvement with…

10163

Abstract

Purpose

Fashion clothing has always been an interesting area for scholarly research on consumer behavior. This paper seeks to gain a better understanding of the youth involvement with fashion clothing in the Egyptian context. Accordingly, the paper considers the Egyptian consumers’ attitude toward fashion involvement by investigating how fashion consciousness and materialism serve as main antecedents of fashion clothing involvement, while also determining the impact of fashion clothing involvement on fashion clothing purchase involvement. This paper aims to test an extended and adapted theoretical model of fashion clothing involvement in Egypt.

Design/methodology/approach

Using non-probabilistic convenience sample, a survey method was used, and 270 valid questionnaires were collected.

Findings

The hypothesized antecedents were found to influence fashion clothing involvement among young Egyptian consumers, which in turn significantly affect its purchasing. Moreover, materialism was also found to partially meditate the relationship between fashion consciousness and fashion involvement. On the other hand, the hypothesized gender role as a moderator between all variables of the study was not supported.

Research limitations/implications

Using a wider population is one avenue future research seeking to replicate this study can pursue. Specifically, because the sample consisted of university students, generalizing the results to non-students can be restricted. Likewise, findings are mainly related to fashion clothing; hence, extending the model to include other product categories can provide more support for the results.

Practical implications

As the results confirmed that there is a partial significant positive impact of fashion consciousness on fashion clothing involvement via materialism, the paper provides practical implications for fashion marketers to achieve successful communication with fashion-conscious and materialistic young Egyptian consumers. The aim is to develop strategies that are consistent with consumers’ values and communicate appeals to their aspirational lifestyle.

Originality/value

This paper contributes to the limited number of the published manuscripts on the fashion clothing marketing sector in Egypt. There is a void in literature related the investigation of fashion clothing involvement in the developing countries. Accordingly, this paper fills this gap by examining the fashion clothing consumption behavior of young Egyptian students in Cairo University. To the best of the author’s knowledge, it is among the first to investigate the antecedents and motives related to fashion clothing involvement and its purchases among young consumers in the Egyptian context. The paper develops a comprehensive model of fashion clothing involvement to highlight the relationships between fashion involvement and Fashion consciousness, materialism, and fashion clothing purchase-involvement. The paper also contributes to the research by exploring materialism as a mediator between fashion consciousness and fashion involvement constructs, in addition to exploring the gender role as a moderator between all constructs of the study. The study makes theoretical contribution to the body of knowledge around young Egyptian consumers’ fashion clothing involvement and purchase behavior toward luxury fashion clothes, which may be extended to other similar Arab non-Western developing countries. Moreover, it offers managerial insights for establishing effective communications with this potentially lucrative market segment.

Details

Journal of Humanities and Applied Social Sciences, vol. 4 no. 2
Type: Research Article
ISSN:

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 February 2021

Vikas Gupta, Ignatius Cahyanto, Manohar Sajnani and Chetan Shah

This study aims to analyse the factors that caused Indian tourists to avoid travelling abroad because of the recent outbreak of COVID-19 in 2020. It will also identify the…

6626

Abstract

Purpose

This study aims to analyse the factors that caused Indian tourists to avoid travelling abroad because of the recent outbreak of COVID-19 in 2020. It will also identify the relationship between the perceived risk of travelling and the probability of travel evading in India owing to COVID-19.

Design/methodology/approach

This study used an online structured questionnaire to collect data from Indian tourists to study six independent variables linked with their behavioural intentions (travel evading). The health belief model was used to examine tourist behaviour.

Findings

The results revealed a positive correlation between the perceived risk associated with COVID-19 and travel avoidance. Familiarity with COVID-19 was positively correlated with travel evading behaviours.

Practical implications

This study will assist stakeholders from around the world to adequately identify and thoroughly plan for logistical problems associated with travel such as travel insurance and pre-travel booking expenses to reduce travel evading behaviour and promote travel.

Originality/value

While a few studies have been conducted related to pandemics (Ebola, MERS-CoV, SARS), there is a paucity of literature that examines the factors which influence tourists’ travel evading behaviour owing to COVID-19. Moreover, most of the previous literature on pandemics is concentrated on American and European countries, whereas studies on the Indian sub-continent are very scarce. This study will fill this gap and will identify the factors which influence tourists in India to evade travel in response to COVID-19.

Details

Journal of Tourism Futures, vol. 9 no. 1
Type: Research Article
ISSN: 2055-5911

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 January 2021

Gulcin Ozbay, Mehmet Sariisik, Veli Ceylan and Muzaffer Çakmak

The main purpose of this study is to make a comparative evaluation of the impacts of previous outbreaks and coronavirus disease 2019 (COVID-19) on the tourism industry. COVID-19…

11068

Abstract

Purpose

The main purpose of this study is to make a comparative evaluation of the impacts of previous outbreaks and coronavirus disease 2019 (COVID-19) on the tourism industry. COVID-19 appears to have disrupted all memorizations about epidemics ever seen. Nobody has anticipated that the outbreak in late December will spread rapidly across the world, be fatal and turn the world economy upside down. Severe acute respiratory syndrome, Ebola, Middle East respiratory syndrome and others caused limited losses in a limited geography, thus similar behaviors were expected at first in COVID-19. But it was not so. Today, people continue to lose their lives and experience economic difficulties. One of the most important distressed industries is undoubtedly tourism.

Design/methodology/approach

This study is a literature review. In this review, a comparative evaluation between the impact of previous outbreaks and COVID-19 on the tourism industry has been made based on statistics and previous research studies.

Findings

The information and figures obtained show that COVID-19 and previous outbreaks have such significant differences that cannot be compared. COVID-19 has been one of the worst to live in terms of spreading speed, the geography where it spreads, loss of lives and negative effects in the whole area.

Originality/value

It is noteworthy that COVID-19 is very severe in terms of death cases and also its impacts on the economy compared to other pandemics. It remains to be argued that COVID-19 can also be a reference in terms of possible new outbreaks in the future, and is an effective actor in determining future strategies.

Details

International Hospitality Review, vol. 36 no. 1
Type: Research Article
ISSN: 2516-8142

Keywords

Available. Open Access. Open Access
Article
Publication date: 11 April 2022

Ümit Şengel, Gökhan Genç, Merve Işkın, Mustafa Çevrimkaya, Ioannis Assiouras, Burhanettin Zengin, Mehmet Sarıışık and Dimitrios Buhalis

The COVID-19 pandemic, which appeared in China in late 2019, has affected the world psychologically, socially and economically in 2020. Tourism is one of the areas where the…

3593

Abstract

Purpose

The COVID-19 pandemic, which appeared in China in late 2019, has affected the world psychologically, socially and economically in 2020. Tourism is one of the areas where the effects of COVID-19 have been felt most clearly. The study aims to determine the effect of negative problem orientation (NPO) and perceived risk related to the COVID-19 pandemic on travel and destination visit intention.

Design/methodology/approach

This study employed a convenience and probabilistic sampling method for collecting data from 531 respondents using an online questionnaire. Partial least square structural equation modeling (PLS-SEM) was used for testing research model.

Findings

According to the findings, NPO and perceived risk related to the pandemic were found to have direct and indirect effects on the travel behavior of tourists. The results of this research provide theoretical and practical implications for hospitality and travel businesses on topics such as the psychological effects of the pandemic and the travel behaviors of tourists.

Originality/value

It is estimated that the pandemic will also affect tourist behavior due to its effects on human psychology. For this reason, a study conducted in the context of tourist behavior theories is expected to contribute to the literature, managers and future of the tourism.

Details

Journal of Tourism Futures, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2055-5911

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 March 2024

Xiaojuan Li, Yanping Feng, Cora Un In Wong and Lianping Ren

This paper aims to understand Chinese tourists’ changing shopping experience in Macao. In scrutinizing reviews posted in the pre-COVID and during COVID eras, the study has…

592

Abstract

This paper aims to understand Chinese tourists’ changing shopping experience in Macao. In scrutinizing reviews posted in the pre-COVID and during COVID eras, the study has identified changing patterns in Chinese tourists’ shopping experiences, including increased leisure components while shopping, decreased luxury pursuits and an improved overall leisure and shopping experience because of decreased prices in accommodation and a less crowded retail and leisure environment. An emergent opportunity to provide “retail-tainment” experience is discussed.

Details

Tourism Critiques: Practice and Theory, vol. 5 no. 1
Type: Research Article
ISSN: 2633-1225

Keywords

Available. Open Access. Open Access
Article
Publication date: 20 February 2025

Thabo Khafiso, Samuel Adeniyi Adekunle and Clinton Aigbavboa

The increasing energy consumption in residential buildings poses significant challenges to sustainability, economic efficiency, and environmental health. Despite the availability…

23

Abstract

Purpose

The increasing energy consumption in residential buildings poses significant challenges to sustainability, economic efficiency, and environmental health. Despite the availability of numerous energy-saving strategies, their adoption remains inconsistent due to various barriers such as cost, awareness and technical limitations. This paper aims to assess energy-saving strategies mitigating high energy consumption in residential buildings.

Design/methodology/approach

The study adopted a quantitative research methodology. A carefully developed study questionnaire was distributed to a group of 20 Delphi experts to collect quantitative data. These experts possess extensive experience in the areas of energy use, energy management and energy savings. The questionnaire was also issued to the end users to gather quantitative data. The collected data were analyzed using descriptive analysis.

Findings

The study results indicate a strong preference for certain energy-saving measures, with energy-efficient appliances, occupant behavior adjustments and heating, ventilation and air conditioning (HVAC) system upgrades emerging as the most frequently adopted strategies. Measures such as installing smart thermostats and energy-efficient windows also ranked highly, reflecting their perceived effectiveness in reducing energy consumption. However, strategies like weatherizing buildings and using smart power strips were less frequently implemented, suggesting lower prioritization or barriers to adoption. The findings further emphasize the importance of HVAC-related maintenance and upgrades, highlighted by their top rankings and frequent use, while simpler actions, such as insulation and turning off lights, were ranked lower despite their potential for energy savings.

Research limitations/implications

The study’s limitations include reliance on self-reported data, potential bias in participant responses and a lack of consideration for contextual factors such as regional climate, socioeconomic conditions and technological access that may influence the adoption of energy-saving measures.

Originality/value

This research is distinctive in its integration of the Delphi method with questionnaires to holistically evaluate and assess energy-saving measures for reducing excessive energy use in residential structures. By integrating expert consensus with empirical data from diverse residential contexts, it provides a comprehensive and nuanced understanding of effective energy management practices.

Details

Property Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-7472

Keywords

Available. Open Access. Open Access
Article
Publication date: 5 November 2019

Anette Rantanen, Joni Salminen, Filip Ginter and Bernard J. Jansen

User-generated social media comments can be a useful source of information for understanding online corporate reputation. However, the manual classification of these comments is…

4920

Abstract

Purpose

User-generated social media comments can be a useful source of information for understanding online corporate reputation. However, the manual classification of these comments is challenging due to their high volume and unstructured nature. The purpose of this paper is to develop a classification framework and machine learning model to overcome these limitations.

Design/methodology/approach

The authors create a multi-dimensional classification framework for the online corporate reputation that includes six main dimensions synthesized from prior literature: quality, reliability, responsibility, successfulness, pleasantness and innovativeness. To evaluate the classification framework’s performance on real data, the authors retrieve 19,991 social media comments about two Finnish banks and use a convolutional neural network (CNN) to classify automatically the comments based on manually annotated training data.

Findings

After parameter optimization, the neural network achieves an accuracy between 52.7 and 65.2 percent on real-world data, which is reasonable given the high number of classes. The findings also indicate that prior work has not captured all the facets of online corporate reputation.

Practical implications

For practical purposes, the authors provide a comprehensive classification framework for online corporate reputation, which companies and organizations operating in various domains can use. Moreover, the authors demonstrate that using a limited amount of training data can yield a satisfactory multiclass classifier when using CNN.

Originality/value

This is the first attempt at automatically classifying online corporate reputation using an online-specific classification framework.

Details

Internet Research, vol. 30 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 March 2017

Zhuoxuan Jiang, Chunyan Miao and Xiaoming Li

Recent years have witnessed the rapid development of massive open online courses (MOOCs). With more and more courses being produced by instructors and being participated by…

2213

Abstract

Purpose

Recent years have witnessed the rapid development of massive open online courses (MOOCs). With more and more courses being produced by instructors and being participated by learners all over the world, unprecedented massive educational resources are aggregated. The educational resources include videos, subtitles, lecture notes, quizzes, etc., on the teaching side, and forum contents, Wiki, log of learning behavior, log of homework, etc., on the learning side. However, the data are both unstructured and diverse. To facilitate knowledge management and mining on MOOCs, extracting keywords from the resources is important. This paper aims to adapt the state-of-the-art techniques to MOOC settings and evaluate the effectiveness on real data. In terms of practice, this paper also tries to answer the questions for the first time that to what extend can the MOOC resources support keyword extraction models, and how many human efforts are required to make the models work well.

Design/methodology/approach

Based on which side generates the data, i.e instructors or learners, the data are classified to teaching resources and learning resources, respectively. The approach used on teaching resources is based on machine learning models with labels, while the approach used on learning resources is based on graph model without labels.

Findings

From the teaching resources, the methods used by the authors can accurately extract keywords with only 10 per cent labeled data. The authors find a characteristic of the data that the resources of various forms, e.g. subtitles and PPTs, should be separately considered because they have the different model ability. From the learning resources, the keywords extracted from MOOC forums are not as domain-specific as those extracted from teaching resources, but they can reflect the topics which are lively discussed in forums. Then instructors can get feedback from the indication. The authors implement two applications with the extracted keywords: generating concept map and generating learning path. The visual demos show they have the potential to improve learning efficiency when they are integrated into a real MOOC platform.

Research limitations/implications

Conducting keyword extraction on MOOC resources is quite difficult because teaching resources are hard to be obtained due to copyrights. Also, getting labeled data is tough because usually expertise of the corresponding domain is required.

Practical implications

The experiment results support that MOOC resources are good enough for building models of keyword extraction, and an acceptable balance between human efforts and model accuracy can be achieved.

Originality/value

This paper presents a pioneer study on keyword extraction on MOOC resources and obtains some new findings.

Details

International Journal of Crowd Science, vol. 1 no. 1
Type: Research Article
ISSN: 2398-7294

Keywords

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