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The purpose of this exploratory study is to describe the use of social media platforms in a first-year accounting course at a South African university and provide evidence on whether students found these social networking sites useful.

The study uses survey research to determine students’ usage of two social media platforms (Facebook and Twitter) and their perceptions of these platforms’ usefulness in a first-year accounting course.

The study found that the time spent on the two social media platforms does not detract from the time spent on preparation for the first-year accounting course. Students’ perceptions on the usefulness of these platforms showed support by all students for using social media to provide career information, but not all students perceived the platforms to be useful for communication and teaching and learning. While no statistically significant differences were found in the students’ responses based on gender, a number of statistically significant differences were found when the results were analysed according to language. Students whose home language was not English found the two social media platforms more useful for some aspects of communication, teaching and learning and for career guidance than English-speaking students.

The questionnaire was only administered to students on one campus who had actually accessed the social media platforms. Therefore, the results are not generalisable beyond this study.

The study shows that students whose home language is not English perceived the platforms more useful for communication, some teaching and learning aspects and for career guidance in a first-year accounting course. This may be helpful to other accounting teachers faced with student disruptions, large classes or high numbers of international students whose first language is not English, and who need to communicate with all their students.

The study adds to the discourse on the usefulness of social media platforms in a tertiary education setting, and more particularly, in a first-year accounting course in South Africa.

This study aims to draw on the categorization theory to explore the mediating role of customer qualification skills in explaining how social media use in sales contributes to salespeople’s adaptive selling behaviors to achieve high sales performance in export selling. The study also integrates network effect theory and social linguistics theory to identify the specific social media platform (Facebook versus non-Facebook) and the characteristics of salespeople in terms of English language proficiency, which play a facilitating role in promoting the effectiveness of social media use in export sales.

The sampling frame of the research is a list of Chinese export salespersons obtained on the FOB Business Forum website. Survey data were obtained from 873 Chinese export salespeople. Partial least squares structural equation modeling was performed to analyze the data.

Social media use in sales is associated positively with customer qualification skills and adaptive selling behaviors. Moreover, the results revealed a partial mediating effect of customer qualification skills on the positive impact of social media use in sales on adaptive selling behaviors. The moderating effect analysis found that the positive association between social media use in sales and customer qualification skills was stronger in export salespeople who used Facebook and had mastered a high level of English language proficiency.

This study provides new findings, based on data collected from salespeople in Mainland China, that support the effectiveness of social media use in an export sales context. Moreover, the study advances prior research by showing that the effectiveness of social media use still depends on the type of social media used and the English language proficiency of the salespeople.

This paper presents recently published resources on library instruction and information literacy. It provides an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts. The selected bibliography is useful to efficiently keep up with trends in library instruction for busy practitioners, library science students and those wishing to learn about information literacy in other contexts.

This article annotates 424 English-language periodical articles, monographs, dissertations, theses and reports on library instruction and information literacy published in 2021. The sources were selected from the EBSCO platform for Library, Information Science, and Technology Abstracts (LISTA), Education Resources Information Center (ERIC), Scopus, ProQuest Dissertations and Theses, and WorldCat, published in 2021 that included the terms “information literacy,” “library instruction,” or “information fluency” in the title, abstract or keywords. The sources were organized in Zotero. Annotations summarize the source, focusing on the findings or implications. Each source was categorized into one of seven pre-determined categories: K-12 Education, Children and Adolescents; Academic and Professional Programs; Everyday Life, Community, and the Workplace; Libraries and Health Information Literacy; Multiple Library Types; and Other Information Literacy Research and Theory.

The paper provides a brief description of 424 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested as a quick and comprehensive reference to literature on library instruction and information literacy within 2021.

The purpose of this paper is to examine both the Latino/Hispanic entrepreneurs’ social media adoption (SMA) for business purposes and the influence of culture on personal versus business social network platform (SNP) selection.

The Technology Acceptance Model’s (TAM) factors of perceived usefulness (PU) and perceived ease of use (PEU) as drivers of Latino/Hispanic entrepreneurs’ social network platform selection are examined as well as the effect of SMA on revenue. Data was collected from 633 small business owners across the United States via an online survey administered in English and Spanish.

Results indicate that Latino/Hispanic business owners use personal SNP more than business SNP for business purposes. PU and PEU were not found to predict personal SNP for Latino/Hispanic entrepreneurs. However, for Non-Latino/Hispanics, PU was significant while PEU was marginally significant. Findings for PU and PEU as predictors of business SNP indicate similar results for both Latino/Hispanic and non-Latino/Hispanic entrepreneurs, where only PEU was significant. Finally, there was no relationship between either business or personal SNP and revenue for either Latino/Hispanic or non-Latino/Hispanic entrepreneurs.

This research provides more insight into Latino/Hispanic entrepreneurs’ self-directed engagement in personal SNP (Facebook) and business SNP (LinkedIn) for business purposes and invites future research in this population to further examine cultural influence and business performance. The findings support the need for Latino/Hispanic entrepreneurs’ strengthening their competency in social media usage to remain competitive, as doing so will enhance their capability for building customer relationships, brand development, and equity financing.

This investigation 1) examines SMA’s role in Latino/Hispanic small and medium enterprises (SMEs); 2) distinguishes between personal and business social network platforms; 3) investigates TAM’s relevance for Latino/Hispanic entrepreneurs’ use of social media for business; and 4) explores SME social media usage as a predictor of revenue. We seek to provide practitioners with a greater understanding of how they may influence business success and sustainability through better competency development and usage of social media platforms.

This study aimed to present the methodology of the text data analysis to establish marketing strategies for fintech companies in a practical way. Specifically, the methodology was presented to convert customers' review data, which consisted of the text data (unstructured data), to the numerical data (structured data) by using a text mining algorithm “Global Vectors for Word Representation,” abbreviated as “GloVe”; additionally, the authors presented the methodology to deploy the numerical data for marketing strategies with eliminate-reduce-raise-create (ERRC) value factor analytics.

First, the authors defined the background, features and contents of fintech services based on a review of related literature review. Additionally, they examined business strategies, the importance of social media for fintech services and fintech technology trends based on the literature review. Next, they analyzed the similarity between fintech-related keywords, which represent the trends in fintech services, and the text data related to fintech corporations and their services posted on Facebook and Twitter, which are two of the most popular social media globally, during the period 2017–2019. The similarity was then quantified and categorized in terms of the representative global fintech companies and the status of each fintech service sector. Furthermore, the similarity was visualized, and value elements were rebuilt using ERRC strategy analytics.

This study is meaningful in that it quantifies the degree of similarity between customers' responses, experiences and expectations regarding the rapidly growing global fintech firms' services and trends in fintech services.

This study suggests a practical way to apply in business by providing a method for transforming unstructured text data into structured numerical data it is measurable. It is expected that this study can be used as the basis for exploring sustainable development strategies for the fintech industry.

The main aim of this paper is to build an approach to analyze the tourist content posted on social media. The approach incorporates information extraction, cleaning, data processing, descriptive and content analysis and can be used on different social media platforms such as Instagram, Facebook, etc. This work proposes an approach to social media analytics in traveler-generated content (TGC), and the authors use Twitter to apply this study and examine data about the city and the province of Granada.

In order to identify what people are talking and posting on social media about places, events, restaurants, hotels, etc. the authors propose the following approach for data collection, cleaning and data analysis. The authors first identify the main keywords for the place of study. A descriptive analysis is subsequently performed, and this includes post metrics with geo-tagged analysis and user metrics, retweets and likes, comments, videos, photos and followers. The text is then cleaned. Finally, content analysis is conducted, and this includes word frequency calculation, sentiment and emotion detection and word clouds. Topic modeling was also performed with latent Dirichlet association (LDA).

The authors used the framework to collect 262,859 tweets about Granada. The most important hashtags are #Alhambra and #SierraNevada, and the most prolific user is @AlhambraCultura. The approach uses a seasonal context, and the posted tweets are divided into two periods (spring–summer and autumn–winter). Word frequency was calculated and again Granada, Alhambra are the most frequent words in both periods in English and Spanish. The topic models show the subjects that are mentioned in both languages, and although there are certain small differences in terms of language and season, the Alhambra, Sierra Nevada and gastronomy stand out as the most important topics.

Extremely difficult to identify sarcasm, posts may be ambiguous, users may use both Spanish and English words in their tweets and tweets may contain spelling mistakes, colloquialisms or even abbreviations. Multilingualism represents also an important limitation since it is not clear how tweets written in different languages should be processed. The size of the data set is also an important factor since the greater the amount of data, the better the results. One of the largest limitations is the small number of geo-tagged tweets as geo-tagging would provide information about the place where the tweet was posted and opinions of it.

This study proposes an interesting way to analyze social media data, bridging tourism and social media literature in the data analysis context and contributes to discover patterns and features of the tourism destination through social media. The approach used provides the prospective traveler with an overview of the most popular places and the major posters for a particular tourist destination. From a business perspective, it informs managers of the most influential users, and the information obtained can be extremely useful for managing their tourism products in that region.

This paper presents recently published resources on library instruction and information literacy, providing an introductory overview and a selected annotated bibliography of publications covering various library types, study populations and research contexts.

This paper introduces and annotates English-language periodical articles, monographs, dissertations, reports and other materials on library instruction and information literacy published in 2020.

The paper provides a brief description of all 440 sources and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians, researchers and anyone interested in a quick and comprehensive reference to literature on library instruction and information literacy.

In recent years, there has been a growth in research aimed at understanding the foundations of modern activist communication in media-rich and multi-platform environments. For example, Chon and Park's analysis of the American Black Lives Matter (BLM) movement built on Kim and Grunig's STOPS model. Yet, social and political injustice can exist for extended periods of time without successful movements emerging, so what leads people to demand social and political change through activism? This paper posits that crisis is trigger that motivates people to activism and evaluates that within the context of the Scottish independence movement.

The study is based on in-depth interviews with 26 advocates for Scottish independence, which yielded more than 32 h of data. Data were analysed using Strauss and Corbin's (1990) constant comparative method approach using open coding, axial coding and selective coding finding thematic saturation after only 10 interviews.

The study provides a clear extension of Chon and Park's model of activism by finding that crises are critical triggers for activism. Moreover, these findings also provide insights into not only the Scottish independence movement but more broadly the extension of traditional public relations and communication theory in multi-platform and multi-actor environments.

There are several contributions this piece makes. First, this paper extends activist, crisis and strategic communication research to more systematically consider the role that crisis plays in social and political advocacy. Second, this paper affords the opportunity to consider the challenges of communication, democracy and activism in the social media age. Finally, this paper supports an international view that discrimination and affective injustice experiences cut across many different kinds of identities and experiences instead of the traditionally considered ethnic, religious and gender-based experiences traditionally addressed.

Social media have recently become an important strategic marketing tool to increase firm value. Based on an integrated theoretical framework, this study aims to examine the market reaction at the time of the creation of a Twitter platform for 312 firms from the Fortune 500 firms.

To test the hypotheses related to the effect of social media platforms on firm value, the event history analysis (EHA) was used, also known as event study, usually designed to examine the impact of a historical phenomenon for the US Fortune 500 firms that developed a Twitter platform.

A significant market reaction was found around the starting date of Twitter activities for the subsample of firms that are not contaminated by any other corporate announcements, but not for the overall sample. The market reaction is higher for firms with two-way interaction strategies rather than one-way messaging in both the uncontaminated subsample and the overall sample. It is higher in smaller firms, firms with losses and those with a family and/or a dominant shareholder. Further, firms in the contaminated subsample are likely to follow a two-way strategy after a positive revision of their earnings per share. We have run several robustness checks, including cross-validation on a holdout sample, and these findings remain consistent.

The integrated theoretical framework is another significant contribution. To our knowledge, this is the first study across disciplines that integrates the social exchange theory (SET), social representation theory (SRT), social network analysis (SNA), social identity theory (SIT), signaling theory (ST) and the impression management theory (IMT) into one framework that is built around information as a resource and social interaction.

The results suggest that Twitter can be used to add value if firms interact and reciprocate with the various stakeholders.

Firms using social media must interact and reciprocate with the various stakeholders.

This research is different than the published research on this topic in that it examines the impact on stock prices of the introduction of a specific social media platform, i.e. Twitter. The present results of the paper add to the prior research on database marketing and show that marketing “with” the customer is adding more value than marketing “to” the customer. The use of the net extends the scope of database marketing into a certain form of interaction marketing with “face-to-face” interaction within the relationships between the firm and its customers. Finally, the conditions under which social media platforms are used in an interactive manner are shown, and depicts that firms are more likely to use a two-way interactive strategy following a one-year period of positive momentum.

This paper aims to evaluate Web-based applications for teaching critical media literacy. It proposes modeling for criteria to evaluate Web-based applications for critical media literacy learning. The study aims to critically analyze the applications based on their potential for critical media literacy learning (CMLL), learner compatibility, authenticity, beneficial impact, practicability, engagement and support.

The paper was addressed by the walkthrough method, which provides underpinning analysis of the applications combined with content analysis to gain further deeper insight into users’ applications and application appropriation to accommodate critical media literacy instructions. The applications are organized according to their utilization in each sort of CMLL, namely, media understanding and analysis, and media production.

The paper describes how to select appropriate applications for critical media literacy instruction. It suggests a list of applications that can help teachers integrate critical media literacy into their classroom instruction, as well as the results of each application’s evaluation. In summary, the results indicated the importance of meticulous selection criteria and evaluations of applications used for critical media literacy integration in teaching.

Because technology and applications are constantly evolving, ongoing research in this area is always required. Furthermore, researchers are encouraged to test the proposed hypotheses further.

The paper discusses the implications for technology selection in teaching, the development of selection criteria and managing the balance between technological advancement and teaching. In a nutshell, this paper practically contribute to shed light on the framework for CMLL application selection and adoption.

The paper provides comprehensive guidance for teachers on how to select applications for critical media literacy integration teaching, as well as lists of application evaluations that they can easily use.

This paper fills a gap in the literature by investigating how digital media and technologies can be used in the classroom and how they are chosen based on the needs of teachers and students.