Barcelona seen through the eyes of TripAdvisor: actors,typologies and components of destination image in social media platforms

Recent literature has emphasized the emerging role of social media in generating a destination image. Even so, there is still no clear definition of the main actors, typologies and components prevailing in these environments or the possible differences between diverse social platforms. Specific analysis and comparison of the Barcelona TripAdvisor Forum and a traditional Destination Management Organization (DMO) website showed that actors, typologies and components are platform specific and have both similarities and differences with other sources, including DMO websites and other social media platforms.     

我国志愿者文化结构及其协调发展研究

我国志愿者文化是由志愿者物质文化、精神文化、行为文化和制度文化等部分组成,其中精神文化是内核和本质所在,其他文化是外层,共同构成一个矛盾的统一体。只有全面系统地加以研究,才能继续推进志愿服务实践活动。     

Fake News and hospitality research

The proliferation of the “Fake News” transcend political agendas and has infiltrated the hospitality industry. This Editorial Viewpoint is intended to drive research that challenges “fake news” and takes into consideration the uniqueness of the hospitality industry. This could provide a foundation for theoretical interest in this phenomenon in attempt to prefigure the contour of “fake news”. The main goal is to initiate a discourse on matters pertaining to “fake news” that will help us rethink and inquire what constitutes knowledge in order to better understand the past, present, and future of hospitality research.     

The Effectiveness of Brand- and Customer-Centric Content Strategies at Generating Shares, ‘Likes’, and Comments

Brands are constantly competing for user attention on Facebook and are trying to encourage fans to share, click ‘like’, and comment their posts. Yet, it remains unclear what content strategies are successful at encouraging those behaviors. Noting that the effectiveness of brand content strategies still remains an uncharted research area, this study adopts a discovery-oriented approach and employs workshops, quantitative content analysis, and episodic interviews, to link desired user responses (namely clicks share, ‘like’, and comment) to brand content strategies. This study reveals that customer-centric content strategies are the most effective at encouraging user responses. Managers can use provided recommendations to engage their customers by adopting content strategies that result in desired behavioral reactions.     

Video mining: Measuring visual information using automatic methods

Marketers are becoming increasingly reliant on videos to market their products and services. However, there is no standard set of measures of visual information that can be applied to large datasets. This paper proposes two standard measures that can be automatically obtained from videos: visual variation and video content. The paper tests the measures on crowdfunding videos from a leading online crowdfunding website, and shows that the proposed measures have explanatory power on the funding outcomes of the projects. These measures can be effectively implemented and used for large datasets. Further, researchers can apply these measures to other sets of visual information, and marketers could use the research to guide their video design and improve their video marketing effectiveness.     

Self-Regulation for Online Behavioral Advertising (OBA): Analysis of OBA Notices

This study assessed how and to what extent self-regulation of online behavioral advertising (OBA) is executed on participating companies' websites. Based on the principles of OBA, as outlined by the Digital Advertising Alliance and Federal Trade Commission, we analyzed the format of OBA notices, explanation of OBA notices, opt-out options, transparency, and use of unacceptable notices. A series of content analyses was done in the years 2013 and 2015. Our results indicated slight improvements over the years, but the specific details of the implementation continued to fall short of the standards. In terms of accessibility and visibility, many websites demonstrated problematic presentations or lack of the components necessary to increase consumers' understanding and control over the practice of OBA.     

The Effect Of Advertising Content Control On Advertising Effectiveness In The Different Forced Exposure Circumstance

With advances in new technology, various formats of online advertising (e.g., in-stream video advertising) often force e-consumers to watch the advertisement during their goal-oriented activities, and this advertising interruption often makes them feel intruded upon and irritated. To reduce such negative reactions toward involuntary advertising exposures, this study examines whether offering e-consumers the option to choose advertising content can influence ad effectiveness in different degrees of forced exposure circumstance. Using a 2 (advertising content control: customization option vs. no option) × 2 (level of forced exposure: pre-rolls vs. rich media banners) factorial experiment, the researcher noted that advertising customization features generate a greater sense of relevance and increased advertising memory, which in turn may lead to more positive attitudes toward the ad regardless of the levels of forced exposure. The findings have theoretical and practical implications on the use of involuntary advertising interruptions in the web interface.     

Threats to the Validity of Logistics and Supply Chain Management Research

To increase the relevance of logistics and supply chain academic research, this paper recommends the development and testing of middle‐range theory and practice‐level theory. Yet, there are a number of research issues that arise when academic researchers test middle‐range and practice‐level theory, both in measuring constructs and in testing theoretical relationships between constructs. Concerning the measurement of constructs, this paper recommends that academic researchers pay more attention to content validity and undertake rigorous processes to ensure content validity. In addition, academic researchers need to more explicitly define constructs as either reflective or formative. If the construct is defined as formative, then the traditional statistical approaches to validate these measurement scales are not recommended. The appropriate use of employing single‐item measures for concrete constructs is discussed. In regard to conducting hypothesis tests, research issues associated with multicollinearity and omitted variable bias are discussed. Relative weight analysis is ideal for testing theoretical models and research hypotheses when survey data are obtained, multicollinearity is present, and there are a large number of independent variables predicting a dependent variable. Thus, relative weight analysis is ideal for testing research hypotheses in logistics and supply chain management.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Understanding the drivers of organic foods purchasing of millennials: Evidence from Brazil and Spain

This paper examines the antecedents of millennials' organic food purchasing. A conceptual framework, based on product characteristics, and consumers' concerns and consciousness, is proposed. Data collection was conducted through a survey in two culturally and socioeconomically distinct countries (Brazil vs. Spain) to increase the robustness and generalizability of the results. The results show that product characteristics and consumer concerns improve millennials’ health consciousness and increase their social consciousness, which, in turn, increase their willingness to pay a price premium and their purchase frequency of organic foods. The findings show that the proposed model has high validity, with only one significant difference between the two countries. Theoretical contributions and managerial implications are discussed.