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This paper aims to perform an exhaustive revision of relevant and recent related studies, which reveals that both extraction methods are currently used to analyze credibility on Twitter. Thus, there is clear evidence of the need of having different options to extract different data for this purpose. Nevertheless, none of these studies perform a comparative evaluation of both extraction techniques. Moreover, the authors extend a previous comparison, which uses a recent developed framework that offers both alternates of data extraction and implements a previously proposed credibility model, by adding a qualitative evaluation and a Twitter-Application Programming Interface (API) performance analysis from different locations.

As one of the most popular social platforms, Twitter has been the focus of recent research aimed at analyzing the credibility of the shared information. To do so, several proposals use either Twitter API or Web scraping to extract the data to perform the analysis. Qualitative and quantitative evaluations are performed to discover the advantages and disadvantages of both extraction methods.

The study demonstrates the differences in terms of accuracy and efficiency of both extraction methods and gives relevance to much more problems related to this area to pursue true transparency and legitimacy of information on the Web.

Results report that some Twitter attributes cannot be retrieved by Web scraping. Both methods produce identical credibility values when a robust normalization process is applied to the text (i.e. tweet). Moreover, concerning the time performance, Web scraping is faster than Twitter API and it is more flexible in terms of obtaining data; however, Web scraping is very sensitive to website changes. Additionally, the response time of the Twitter API is proportional to the distance from the central server at San Francisco.

This study aims to analyzed the development of open innovation research knowledge and its application in the tourism sector during the past 17 years, with the aim of understanding the scientific activity and impact of existing research. In addition, this research identifies trending thematic lines and provides recommendations for future research on this topic.

A bibliometric analysis was carried out from the Scopus database, in which 110 studies related to open innovation in tourism were identified. The analysis of the papers was done with the Bibliometrix and Vosviewer tools.

The results show that there is a recent and growing interest among academics, especially since 2017. Moreover, four main lines of work were identified: overtourism and sustainability, value cocreation, open innovation and competitive advantage and its impact on organizations belonging to the hotel sector and the relationship between external knowledge and internal sources in innovation management and open innovation performance.

The relationship with other stakeholders involved in the customer experience value creation in the tourism sector depends to a large extent on the joint offer that hotels, restaurants, tour operators and tourist offices, can provide in a tourist destination. Therefore, having external sources to innovate from will improve their innovative and organizational performance. However, there are no bibliometric analyses on the application of the open innovation paradigm in this sector. Thus, this research contributes to fill this gap, as well as to identify the most recurrent themes that show how open innovation is developing in tourism, providing academics and researchers with guidelines for future research.

This study aims to examine the experiences of UK higher education students and the impact that emergency-imposed changes had on their learning, teaching and assessment (LTA) during the lockdown. It reflects on the views of students on how these changes impacted their education and personal circumstances. It makes suggestions, based on student observations, on how educators might support students’ LTA learning experiences more effectively.

The study uses an anonymous online questionnaire, imposed by lockdown and closure of universities, to gather the views of HE students across the UK on how COVID-19 and lockdown affected their education and personal circumstances. Using a cross-sectional study, participants were asked to complete several questions, providing quantitative and qualitative data which is analysed for the study. A total of 349 participants took part in the questionnaire and data were analysed descriptively.

Key findings suggest that the use of online virtual classrooms as a substitute for traditional face-to-face LTA has its positives and its negatives. The most significant positives are the “flexible assessments” and “digital content” and, in contrast, one of the significant drawbacks is the lack of interactions, this being true for both male and female students. However, as compared to females, males found to be missing “the campus life” more during the lockdown. Finally, the majority of student felt that there was a lack of support from the university and teaching staff during the lockdown. Universities’ governance must take control of how this issue is driven forward and learn from the experience of students.

The study makes three contributions: firstly, using students’ views to open a fresh debate on LTA approaches during the pandemic; secondly, examining the impact on student experiences due to the changes introduced because of lockdown; and finally, suggesting strategies to be implemented by HE management based on the opinions of participating students.

The objective of this research is to investigate the influence of family involvement in business and innovation capability on sustainable longevity of family firms.

Data collected from 553 executives of 200 family firms that survived to the second generation and beyond was analyzed using partial least square (PLS) approach of structural equation modeling (SEM) to test the hypotheses and validate the model.

The results provided evidence of the significant influence of family involvement in business on sustainable longevity of family firms and partial mediation of innovation capability between family involvement in business and corporate sustainable longevity.

The sample included family firms owned and governed by the owner family. The future researchers may focus on professionally managed or publicly listed family firms.

The path to family firms' sustainable longevity goes through innovation capability apart from effective family control, succession, commitment to the business and family enrichment. That requires the family firm to be proactive in innovation capability.

Family firms are the dominant form of business representing around 80% of global business structure that strives for survival and consistently pursues sustainable longevity strategies. In the current globally competitive environment, innovation capability has become a matter of life and death for any firm. Based on the transaction cost economics (TCE) theory of family firms, this study proposes an integrative model of sustainable longevity for family firms.

The main research target of this paper is to capture the network effects using the case of mobile cellular telephony, identified in European telecommunication markets, and its determinants enhancing the process of digital technologies diffusion.

This research relies on panel and dynamic panel regression analysis. The empirical sample covers 30 European countries, and the period for the analysis is set for 2000–2019.

This work contributes by examining the network effects identified on European telecommunication markets that drive the process of digital technologies diffusion, but it also extends the understanding of the latter by tracing major determinants of fast network expansion, e.g. prices of access to and use of, per capita income, urbanisation, population density, accessibility of fixed telephony infrastructure. The main findings support the initial supposition that the installed base strongly enhances diffusion of new technologies, while other factors, for example, prices, are not of prime importance.

This research has certain managerial implications. The unveiled network effects driving adoption of technological innovations constitute a significant determinant of implementation of differentiation strategy by telecommunication companies. Due to network effects consumers' propensity to join the network is valued higher than the prices of services offered, which is crucial not only from the perspective of the company's pricing strategy but also enables telecommunication companies to introduce to the market new products and/or services concentrating on increasing its quality and usability rather than future prices.

This is the first work that empirically verifies the intercompanies and interpersonal diffusion of cellular telephony, hypothesising that this process relies on unique network effects.