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This aim of this paper is to examine the existing gender digital inclusion evaluation guidance and proposes future research recommendations for their evaluation. Despite modern progress in towards gender equality and women’s empowerment movements, women’s access to, use of and benefits from digital technologies remain limited owing to economic, social and cultural obstacles. Addressing the existing gender digital divide is critical in the global efforts towards the United Nations’ Sustainable Development Goals (SDGs). In recent years, there has been a global increase of gender digital inclusion programmes for girls and women; these programmes serve as a mechanism to learn about gender-specific digital needs and inform future digital inclusion efforts. Evaluation reports of gender digital inclusion programmes can produce critical insights into girls’ and women’s learning needs and aspirations, including what works and what does not when engaging girls and women in information and communications technologies. While there are many accounts highlighting the importance of why gender digital inclusion programmes are important, there is limited knowledge on how to evaluate their impact.

The thematic analysis suggests three points to consider for the gender digital inclusion programmes evaluation: context-specific understanding of gender digital inclusion programmes; transparency and accountability of the evaluation process and its results; and tensions between evaluation targets and empowerment of evaluation participants.

The thematic analysis suggests three points of future focus for this evaluation process: context-specific understanding of gender digital inclusion programmes; transparency and accountability of the evaluation process and its results; and tensions between evaluation targets and empowerment of evaluation participants.

The authors propose recommendations for gender digital inclusion evaluation practice and areas for future research.

This research is motivated to explore communication professionals' understanding of the digital changes brought by the Industry 4.0 revolution and how such changes may affect the strategies and skills expected in effective communication management. A specific focus of the research is to define the concept of Readiness for Industry 4.0 in communication and propose a theoretical framework to address the key dimensions of Readiness for Industry 4.0 as related to communication management.

A mixed research design was employed to fulfill the goal of this research. First, the authors took a grounded theory approach in proposing, conceptualizing and constructing the concept of Readiness for Industry 4.0 by reviewing a wider literature on technology and communication. As part of the conceptualization process, the authors proposed five dimensions which encompass the complexity of building capacity in communication practice to effectively manage changes associated with Industry 4.0. Second, the authors used a qualitative research method, in-depth interviews, to gain insights from 16 senior communication professionals working in South Korea.

The study’s interview results confirmed the challenge in finding a universal definition of Readiness for Industry 4.0, even though the interviewed senior communication professionals have widely recognized the changes in the workplace brought by the Industry 4.0. Our interviewees agreed that their mindset is ready for the changes. However, they addressed the need for communication professionals to continue to learn and build their knowledge and skills from multiple perspectives. More specifically, skill sets and knowledge in cognitive analytics, data management, technology literacy, sense making skills for digital transformation and digital competencies in crisis management are desired and necessary.

This research advances theory building in communication management by addressing the importance of digital competencies in the workplace. By proposing a theoretical framework to explain the Readiness for Industry 4.0, this article contributes to our knowledge of digital transformation and its impact on effective communication. Moreover, by having deep conversations with industry leaders who are in the forefront of managing the challenges associated with technology advancement, this article enriches its practical implications by linking the discussion to the proposed theoretical framework.

Recently, decoupling between the US and China has emerged as an important issue in global economics. We propose an analytical framework for trade decoupling analysis, borrowing the idea from the production function in non-competitive input-output tables. Using that methodology, we analyze the mobile phone trade network subject to various measures imposed by the US. A scenario analysis is performed to compare the extent of decoupling after a trade war with worst-cases. In bilateral trade, China’s share of total US imports fell significantly in 2019 compared to 2017. However, China’s indirect exports to the US increased during the same period. A similar pattern is observed in the global trade network visualized via multidimensional scaling (MDS). China’s out-degree centrality decreased slightly, while Vietnam’s role expanded. Actual figures for 2019 show a decreased out-degree centrality for Chinese final good exports, but a much higher one in the scenarios. Also, China’s indirect exports to the US have increased. But China does not appear to play a key role in the network as assumed in the scenario. Throughout the study, intermediate goods were treated homogeneously, and further studies considering the heterogeneity of input-output linkages are needed.

This paper aims to investigate the longitudinal trends of research in the area of institutional repositories (IR) using bibliometric and text-mining methods.

The Library and Information Science Abstracts and the Web of Science citation databases were used as data sources. A total of 603 articles published in 109 peer-reviewed journals from 2005 to 2015 were collected and analyzed. The articles were analyzed in terms of publication trends, authorship patterns and keywords and phrases appearing in the article titles and abstracts.

The study shows that there has been a notable growth trend in research outputs, along with more participation and collaboration among institutes and countries. The study also found significant variability in the topics covered in the literature. In a comparison of the first period of 2005-2010 and the second period of 2011-2015, new research themes and foci, including research data, data management, linked open data, students and student research and an international audience, are observed in the later period.

This paper provides a comprehensive overview of publication, authorship and research themes in the IR research field. It describes the evolution of the intellectual structure of IR as a research field.

Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today’s data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their self-assessed data literacy levels.

An online survey presenting a data literacy self-assessment scale was distributed and completed by 570 students at four community colleges. Statistical tests were performed between the data literacy factor scores and students’ demographic and educational/career advancement variables.

Male students rated their data literacy skills higher than females. The 18–19 age group has relatively lower confidence in their data literacy scores than other age groups. High school graduates do not feel proficient in data literacy to the level required for college and the workplace. Full-time employed students demonstrate more confidence in their data literacy than part-time and nonemployed students.

Given the lack of research on community college students’ data literacy, the findings of this study can be valuable in designing and implementing data literacy training programs for different groups of community college students.

This paper aims to investigate travelers’ intentions to use ChatGPT and the influential factors affecting their decision-making.

Four studies were conducted to test three hypotheses. Four groups of respondents totaling 593 (Study 1), 337 (Study 2), 374 (Study 3) and 385 (Study 4) survey participants were used for data analyses.

Overall, the findings confirmed the impacts of technology usage experience and ChatGPT’s mistakes and provided additional information on travelers’ intentions to use ChatGPT. The four hypotheses were supported.

The findings can help researchers and industry to understand travelers’ intentions to use ChatGPT and their responses to its functions.

这项研究调查了旅行者使用ChatGPT的意图, 以及影响其决策的重要因素。

通过进行四项研究来验证三个假设。四组受访者总共593名（研究1）、337名（研究2）、374名（研究3）和385名（研究4）参与了数据分析。

总体而言, 研究结果证实了技术使用经验的影响、ChatGPT的错误并提供了有关旅行者使用ChatGPT意图的更多信息。四个假设均得到了支持。

研究结果可以帮助研究人员和业界了解旅行者使用ChatGPT的意图, 以及他们对其功能的反应。

Este trabajo investiga la intención de los viajeros en el uso de ChatGPT y su influencia en el proceso de decisión de viaje de los viajeros.

Se han desarrollado cuatro estudios para probar tres hipótesis. Cuatro grupos de participantes: 593 (Estudio 1), 337 (Estudio 2), 374 (Estudio 3), y 385 (Estudio 4) participantes respondieron la encuesta y sus respuestas utilizadas para el análisis de datos.

En resumen, los resultados confirman el impacto de la experiencia de uso de la tecnología, los errores de ChatGPT, proveyendo información adicional sobre la intención de uso de ChatGPT por los viajeros. Las cuatro hipótesis de investigación fueron aceptadas.

Los resultados pueden ser útiles para la academia y la industria sobre la comprensión en la intención de uso de ChatGPT, tanto por los viajeros, como sus respuestas sobre su función.

The purpose of this paper is to demonstrate the similarities and differences of occupational identity among logistics managers, controllers and specialists.

After a thorough review of the literature, the authors opted for desk research and content analysis of job advertisements for these three occupations as the major research method, focusing on a sample of 60 Polish and German advertisements.

The analysis of these data confirmed that the three occupations have their own identity (although there is a certain closeness between controllers and managers), but, from a holistic perspective of logistics management considering current trends in logistics, these three occupations should be integrated as a whole.

This has been the first paper comparing ads focused on logistics professionals in two relevant European economies in terms of logistics development: Poland and Germany.

The authors’ goal is to investigate variations in the writing style of book reviews published on different social reading platforms and referring to books of different genres, which enables acquiring insights into communication strategies adopted by readers to share their reading experiences.

The authors propose a corpus-based study focused on the analysis of A Good Review, a novel corpus of online book reviews written in Italian, posted on Amazon and Goodreads, and covering six literary fiction genres. The authors rely on stylometric analysis to explore the linguistic properties and lexicon of reviews and the authors conducted automatic classification experiments using multiple approaches and feature configurations to predict either the review's platform or the literary genre.

The analysis of user-generated reviews demonstrates that language is a quite variable dimension across reading platforms, but not as much across book genres. The classification experiments revealed that features modelling the syntactic structure of the sentence are reliable proxies for discerning Amazon and Goodreads reviews, whereas lexical information showed a higher predictive role for automatically discriminating the genre.

The high availability of cultural products makes information services necessary to help users navigate these resources and acquire information from unstructured data. This study contributes to a better understanding of the linguistic characteristics of user-generated book reviews, which can support the development of linguistically-informed recommendation services. Additionally, the authors release a novel corpus of online book reviews meant to support the reproducibility and advancements of the research.