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The article focuses on cross-sectoral analysis concerning services, especially ICT services, flowing from China to European manufacturing. The aim of the study is to analyse Sino-European relations in terms of ICT servicification. The article attempts to answer the following questions: does China’s relationship with Europe in terms of the servicification of manufacturing align with global servicification trends? Have global economic shocks, such as decoupling policies, diminished the flows of Chinese ICT services in European advanced manufacturing sectors?

This study employed input–output models to analyse the increasing role of China as a supplier of ICT services to European manufacturing. It also identified the industries that are most dependent on Chinese ICT services.

The analysis highlights the increasing reliance of European manufacturing on Chinese ICT services, with a notable rise across both Western Europe and CEE. This dependency is particularly strong in advanced sectors such as automotive and electronics, and there is no evidence of decoupling from China, even amidst global shocks or geopolitical tensions like the Trump presidency. Additionally, the BRI had limited direct impact, as the servicification trends appear driven more by broader globalization processes.

The study investigates all European countries and their manufacturing sectors’ reliance on Chinese services. It concentrates on services related to high technology, specifically ICT. Moreover, the previous research has focused on servicification of manufacturing, in general, neglecting industry-specific analysis. It contributes to the literature by providing insights into the relationships between developing and developed economies in terms of GVCs in the context of digital servicification and decoupling conditions.

Text classification is a widely accepted and adopted technique in organizations to mine and analyze unstructured and semi-structured data. With advancement of technological computing, deep learning has become more popular among academicians and professionals to perform mining and analytical operations. In this work, the authors study the research carried out in field of text classification using deep learning techniques to identify gaps and opportunities for doing research.

The authors adopted bibliometric-based approach in conjunction with visualization techniques to uncover new insights and findings. The authors collected data of two decades from Scopus global database to perform this study. The authors discuss business applications of deep learning techniques for text classification.

The study provides overview of various publication sources in field of text classification and deep learning together. The study also presents list of prominent authors and their countries working in this field. The authors also presented list of most cited articles based on citations and country of research. Various visualization techniques such as word cloud, network diagram and thematic map were used to identify collaboration network.

The study performed in this paper helped to understand research gaps that is original contribution to body of literature. To best of the authors' knowledge, in-depth study in the field of text classification and deep learning has not been performed in detail. The study provides high value to scholars and professionals by providing them opportunities of research in this area.

Social media celebrities are getting popular in promotions, and more people have experienced social media to receive information on diet and health tips. This research presents a study showing how social media can influence young people's diet behavior through collaboration with social media celebrities.

Through recruiting on various social media and online education forums, this research recruited 196 young Hongkongers to participate in an online survey developed based on the AIDA (Action, Interest, Desire, Attention) marketing communication model on how youths access diet information from social media celebrities in Hong Kong.

Hong Kong youths consume diet information from social media celebrities through instant messaging systems, social networking sites and online videos, and, in particular, information on food calories and nutrition. However, sponsorship from vendors would decrease their desire to agree with the messages from social media celebrities. After receiving this information, some participants would follow tips and guides from social media celebrities. However, they seldom share such information. Interestingly, males are more willing to follow these tips and guides.

First, this study fills the gap of prior research, which did not study much on how social media celebrities contribute to diet promotion to youths in Asia. Second, through the AIDA Model, this study shows how social media can affect the awareness and accessibility of diet information by young Hongkongers, followed by initiating their interest in this topic and retrieving more relevant information. Furthermore, the authors further understand their desire to follow and improve their behavior as promoted by social media influencers and how they practice such behavior. Based on these findings, health-related brands could consider using social media influencers helping to promote their products and services, and these brands could further use social media to secure customer engagement.

This paper aims to explore the adaptive experiences of first-year international graduate students at a US university. It aims to understand the challenges they encounter, strategies they adopt with social media to navigate these challenges and tensions that emerge in their social media interactions.

This study uses a qualitative multiple-case research design to collect data from 22 semistructured interviews with 11 participants. Additionally, 110 social media artifacts were collected, focusing on international students’ use of social media in everyday and academic contexts.

This paper offers empirical insights into social media’s role in helping international students address practical challenges and fulfill learning needs in academic studies, assistantships, cultural understanding and the constructions of ethnic and peer groups for emotional and social support. Additionally, it identifies tensions such as addiction, distractions, emotional distress and the creation of filter bubbles.

Given the qualitative approach of this paper, the generalizability of study findings is limited. Future studies can focus on different sites to explore context-related issues, students across different years or use a longitudinal research design to further explore international students’ experiences in relation to social media use and its role in their adaptation over time.

This paper proposes implementing social media curricula in universities to educate students on media literacy and digital competence and create peer groups to support international students beyond classrooms.

This paper adds value to informal learning literature focusing on international students.

The purpose of this study is to review the application of social media for knowledge sharing (KS) in higher education. KS is the most crucial component in knowledge management. Higher education institutions (HEIs) are the epitome of knowledge creation and acquisition. With the advancement in technology and the embracement of social media, knowledge should be shared more freely and easily.

Using a bibliometric analysis, this study applies bibliographic coupling and co-word analysis to analyze the present and future trends on KS using social media in HEIs. 455 journal publications and 21,181 cited references were retrieved from Web of Science (WoS) database.

Findings show that most themes are categorized towards academics and students. Themes related to academics are the use of social media for expertise sharing and KS's impact on university-industry networking. In contrast, themes related to students revolved around the impacts of social media and academic performance.

Implications towards major social media practices on KS are discussed.

This study provides a novel, state-of-the-art bibliometric review of knowledge sharing via social media in the higher education context.

In the open and distance learning (ODL) system, widely scattered learners across various age groups often feel isolated. New-age media-enabled co-creation can help reduce this isolation. However, fostering collaborative academic engagement to break this isolation presents challenges for ODL institutions. Therefore, understanding the perceptions of the ODL teachers and learners on this issue is essential.

The study adopted the triangulation method, collecting primary data from 198 learners at Krishna Kanta Handiqui State Open University (KKHSOU). A focus group discussion with members of the academic staff provided qualitative insights. The instrument consisted of 23 statement items and was statistically analyzed using factor analysis, one-way ANOVA and Tukey post-hoc tests with SPSS version 26.0.

Collaborative academic engagements were found to be significantly influenced by differences in the perceptions of learners across age groups towards the academic delivery process and new-age media platforms. Various dimensions like learner genuineness and effectiveness of support services also have implications for reducing isolation.

This study opens new avenues in the literature on co-creation and new-age media platforms in the context of ODL. This provides useful insights to educators on breaking isolation among the learners and involves them in the academic processes. The human approach as always will remain enduring.

This study aims to propose an architecture and presents the implementation of a unified chatbot that faces the challenges of heterogeneous communication channels. This approach enables the interaction with the chatbot to be carried out over multiple communication media on a single platform.

The chatbot was embedded in a unified communications framework. Furthermore, it has been developed and tested using the information and communications technology (ICT)Core platform. Three test scenarios have been considered in the context of a digital marketing company, which include the use of multiple channels such as text, audio and e-mail. Usability and empirical tests were performed to collect both qualitative and quantitative data.

The results indicate that the proposed model improves the completion rate and enables the chatbot to interact with the customer by capturing information over multiple channels. The findings also reveal that digital marketing organizations can use a unified chatbot in their marketing campaigns, which contributes to improving the quality of customer interaction, message personalization and continuous learning throughout the process.

While the use of a chatbot is a relatively common practice among companies, its integration into unified communications networks is an emerging topic. Proposals for integration into a unified communication channel have mainly focused on access to the same account and conversations from multiple devices or access platforms. This approach, while useful, does not allow for the integration of information from multiple sources. Alternatively, an integrated architecture is suggested in which a chatbot obtains knowledge from multiple sources and uses it to increase the quality of communication with the customer.