Use of twitter and Facebook by top European museums

With social media becoming so pervasive, museums strive to adopt them for their own use. Effective use of social media especially Facebook and Twitter seems to be promising. Social media offer museums the possibility to engage audiences, potential and active visitors with their collections and ideas. Facebook and Twitter are the market leaders of social media. This paper records the top European museums and their Facebook and Twitter accounts. It records the use of the two media, and by applying statistical analysis it investigates whether Twitter use is in accordance to Facebook use. Findings reveal that this is not the case. By using Principal Component Analysis and Cluster Analysis the paper finds that there is, however, a district group of top museums which manage to excel in both media mainly by adopting carefully planned strategies and paying attention to the potential and benefits that social media offer

The use of Facebook and Twitter by DMOs in Europe

Social media promote destination image as they allow users to create and share travel-related information. This study based on Social Network Analytics and influence indicators, investigates the levels of adoption and information diffusion by Destination Management Organizations of European Countries in Facebook, and Twitter. It records the exact number of web 2.0 applications used by European countries DMO, and uses indicators of activity and influence on Facebook and Twitter. The study measures the level of information diffusion in relation to the electronic world of mouth dimension. A ranking of the countries on the basis of influence and activity is attempted

The use of Facebook and Twitter by DMOs in Europe

Social media promote destination image as they allow users to create and share travel-related information. This study based on Social Network Analytics and influence indicators, investigates the levels of adoption and information diffusion by Destination Management Organizations of European Countries in Facebook, and Twitter. It records the exact number of web 2.0 applications used by European countries DMO, and uses indicators of activity and influence on Facebook and Twitter. The study measures the level of information diffusion in relation to the electronic world of mouth dimension. A ranking of the countries on the basis of influence and activity is attempted

Structural review of relics tourism by text mining and machine learning

Purpose: The objective of the paper is to find trends of research in relic tourism-related topics. Specifically, this paper uncovers all published studies having latent issues with the keywords "relic tourism" from the Web of Science database. Methods: A total of 109 published articles (2002-2021) were collected related to "relic tourism." Machine learning tools were applied. Network analysis was used to highlight top researchers in this field, their citations, keyword clusters, and collaborative networks. Text analysis and Bidirectional Encoder Representation from Transformer (BERT) of artificial intelligence model were used to predict text or keyword-based topic reference in machine learning. Results: All the papers are published basically on three primary keywords such as "!relics," "culture," and "heritage." Secondary keywords like "protection" and "development" also attract researchers to research this topic. The co-author network is highly significant for diverse authors, and geographically researchers from five countries are collaborating more on this topic. Implications: Academically, future research can be predicated with dense keywords. Journals can bring more special issues related to the topic as relic tourism still has some unexplored areas

Factors affecting hotel selection: Greek customers' perception

Selection of hotel is of high priority and significance for tourists and entails a complicated decision-making process. The paper aims at identifying the most significant hotel selection factors taken into account by Greek customers. An empirical research study was conducted using an online survey. Ten factors identified by literature review included in the investigation. The findings indicate that Cleanliness is the most important factor in the selection of accommodation, followed by Price and Staff. Considering the priorities of tourists, hotel managers may design more effectively their segmentation, targeting and positioning strategy to ensure that their offerings match the needs and wants of their guests

Factors affecting hotel selection: Greek customers' perception

Selection of hotel is of high priority and significance for tourists and entails a complicated decision-making process. The paper aims at identifying the most significant hotel selection factors taken into account by Greek customers. An empirical research study was conducted using an online survey. Ten factors identified by literature review included in the investigation. The findings indicate that Cleanliness is the most important factor in the selection of accommodation, followed by Price and Staff. Considering the priorities of tourists, hotel managers may design more effectively their segmentation, targeting and positioning strategy to ensure that their offerings match the needs and wants of their guests

Sustainable Tourism Development and Innovation: Recent Advances and Challenges

Traveling and tourism are now an essential part of people’s life and have a big influence on society [...

Service quality assessment in a Greek higher education institute

Education service quality, even though it has become a major issue in higher education worldwide, in Greece it has gained attention only in the last few years. The paper analyzes how students and staff shape opinion about quality of education in a HE institute in Greece. This is one of the few analyses of the perceptions about quality of educational services, viewed both by students and staff of Higher Education Institute in Greece. The study uses the SERVQUAL instrument, adjusted in the educational context. It finds the gaps within students’ and staff's attitudes and reveals possible differences between students’ and staff's views. Gaps exist among some students’ attitudes regarding perceived and expected quality. Staff presents greater gaps than students in every SERVQUAL dimension. Although staff's scores about perceived and expected quality differentiate significantly from students’ scores, no statistically significant difference exists regarding the final SERVQUAL scores. The SERVQUAL instrument presents high reliability indices, however its validity is questioned. The issue has important strategic and managerial implications because it relates to the ability of the institution to bridge staff's and student's attitudes. Although SERVQUAL presents some limitations regarding applicability it still may be used as a complementary research instrument for assessing service quality. In the educational context SERVQUAL can be used to reveal differentiation among views of the key stakeholders, such as students and staff. Managers should take steps to ensure that both parts form a realistic view of the educational process. First published online: 14 Oct 201

A Social Networking Analysis Of Travel Blogs

Travel blogs are C2C online diaries publishing personal stories and experiences, providing thoughts, commentaries, suggestions, advice and details of trips. In tourism, one of the most important information sources for travel planning is word of mouth. Travel blogs, a practiced form of word of mouth, play a crucial role in traveler’s purchase decision. The paper aims to provide a methodology to locate central groups of travelers and to locate travelers that link to them. The paper also finds connectivity patterns between these groups of travelers: patterns of central travelers and patterns of travelers linking to them. It uses TravelPod (www.travelpod.com), the most popular travel blog, and studies incoming links between travelers through “favorite travelers ” list, which is equivalent to a blogroll. The paper records 563 travelers. By using Social Networking theory, Multidimensional Scaling, and Hierarchical Cluster Analysis, the paper identifies central travelers ’ groups. Their importance is studied with regards to number of incoming links and travelers ’ and blogs ’ characteristics