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This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study’s objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify current trends and themes in the literature.

A total of 328 research article data was extracted from Scopus for bibliometric analysis, to investigate publishing trends, productive countries and keyword analysis around the topic and 34 relevant research publications were selected for an in-depth systematic literature review.

The findings indicate that ChatGPT research is still in its early stages, with the current emphasis on applications such as natural language processing and understanding, dialogue systems, speech processing and recognition, learning systems, chatbots and response generation. The USA is at the forefront of publishing on this topic and new keywords, e.g. “patient care”, “medical”, “higher education” and so on are emerging themes around the topic.

These findings underscore the importance of ongoing research and development to address these limitations and ensure that ChatGPT is used responsibly and ethically. While systematic review research on ChatGPT heralds exciting opportunities, it also demands a careful understanding of its nuances to harness its potential effectively.

Overall, this study provides a valuable resource for researchers and practitioners interested in ChatGPT at this early stage and helps to identify the grey areas around this topic.

The aim of this paper is to summarise the state-of-the-art debate on impact of artificial intelligence on unemployment and reporting up-to-date academic findings.

The paper is designed as a review of the labour vs capital conundrum, the differences between industrial automation and artificial intelligence, threat to employment, the difficulty of substituting, role of soft skills and whether technology leads to the deskilling of human workers or favors increasing human capabilities.

Some authors praise the bright future developments of artificial intelligence while others warn about mass unemployment. Therefore, it is paramount to present an up-to-date overview of the problem, compare and contrast its features with what happened in past innovation waves and contribute to academic discussion about the pros/cons of current trends.

The main value of this paper is presenting a balanced view of 100+ different studies, the vast majority from the last five years. Reading this paper will allow to quickly grasp the main issues around the thorny topic of artificial intelligence and unemployment.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0338

This paper aims to explore how music festival organisers negotiate diversity and inclusion in marketing and promotion practices through symbolic and social boundaries.

Based on semi-structured interviews with 18 festival organisers in Rotterdam and participant observation with six festival photographers I show that symbolic and social boundaries are employed in three areas: (1) boundaries in festival format (i.e. [partially] free or ticketed), (2) boundaries in distribution partners and technologies and (3) boundaries in promotional content.

Symbolic and social boundaries are intentionally used by festival organisers to build and delineate festival audiences. Implications are drawn on current understandings of the accessibility of music festival spaces, arguing that festival research should move beyond within-space dynamics to grasp the negotiation of diversity and inclusion at festivals more fully.

While music festivals are often marketed as celebratory spaces that are “welcoming to everyone”, few studies have investigated diversity and inclusion nor marketing and promotion practices at music festivals. This study shows how festival audiences are shaped through marketing and promotion practices.

The purpose of this paper is to assess nurse’s knowledge and practice regarding basic life support (BLS) skills while working with SARS-CoV-2 patients in Jordanian hospitals.

A cross-sectional survey was conducted among 386 nurses with direct contact with SARS-CoV-2 patients at Jordanian hospitals. A self-administered structured questionnaire was used based on the American Heart Association (AHA) guidelines.

A total of 386 participants were recruited. The mean years of experience were 7.89 (SD = 5.97). About three quarters of participants revealed they deal with SARS-CoV-2 patients directly (n = 284, 73.6%). The total mean score of nurse’s knowledge was 4.44 (SD = 1.22), while the total mean score of practice was 8.44 (SD = 2.05). Independent t-test was used, which revealed a statistically significant difference between educational level and total score of nurse’s knowledge [t(386) = 0.215 and p = 0.001] and between training to deal with SARS-CoV-2 during BLS and total score of practice [t(386) = 2.66 and p = 0.008]. Pearson correlation discloses a positive correlation between the total score of knowledge and practice (r = 0.343 and p = 0.001).

In general, nurses revealed a moderate level of knowledge and practice of BLS skills. However, assessing nurse’s knowledge and practice during the outbreak of SARS-CoV-2 plays a key role in identifying the gap in nurse’s knowledge and practice, and therefore, it will have an impact on providing high-quality BLS to save infected patients while providing maximum safety according to AHA guidelines.

This study is the first study that examined the level of knowledge and practice of BLS skills during SARS-CoV-2 pandemic in Jordan.

The world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts and adapt to these new conditions. Technology is one of the most crucial components of this process, and this study focuses on examining climate change adaptation technologies. The aim of the study is to investigate the entire spectrum of technology actors and to concentrate on the technology citation network established from the past to the present, aiming to identify the core actors within this structure and provide a more comprehensive outlook.

The study explores patent citation relationships using social network analysis. It utilizes patent data published between 2000 and 2023 and registered by the US Patent and Trademark Office.

Study findings reveal that technologies related to greenhouse technologies in agriculture, technologies for combatting vector-borne diseases in the health sector, rainwater harvesting technologies for water management, and urban green infrastructure technologies for infrastructure systems emerge as the most suitable technologies for adaptation. For instance, greenhouse technologies hold significant potential for sustainable agricultural production and coping with the adverse effects of climate change. Additionally, ICTs establish intensive connections with nearly all other technologies, thus supporting our efforts in climate change adaptation. These technologies facilitate data collection, analysis, and management, contributing to a better understanding of the impacts of climate change.

Existing patent analysis methods often fall short in detailing the unique contributions of each technology within a technological network. This study addresses this deficiency by comprehensively examining and evaluating each technology within the network, thereby enabling us to better understand how these technologies interact with each other and contribute to the overall technological landscape.

This paper aims to present recently published resources on library instruction and information literacy. It provides an introductory overview and a selected annotated bibliography of publications organized thematically and detailing, study populations, results and research contexts. The selected bibliography is useful to efficiently keep up with trends in library instruction for academic library practitioners, library science students and those wishing to learn about information literacy in other contexts.

This article annotates 340 English-language periodical articles, dissertations, theses and reports on library instruction and information literacy published in 2022. The sources were selected from the EBSCO platform for Library, Information Science and Technology Abstracts (LISTA), Education Resources Information Center (ERIC), Elsevier SCOPUS and ProQuest Dissertations and Theses. Sources selected were published in 2022 and included the terms “information literacy,” “library instruction,” or “information fluency” in the title, subject terms, or author supplied keywords. The sources were organized in Zotero. Annotations were made summarizing the source, focusing on the findings or implications. Each source was then thematically categorized and organized for academic librarians to be able to skim and use the annotated bibliography efficiently.

The paper provides a brief description of 340 sources from 144 unique publications, and highlights publications that contain unique or significant scholarly contributions. Further analysis of the sources and authorship are provided.

The information is primarily of use to academic librarians, researchers, and anyone interested as a quick and comprehensive reference to literature on library instruction and information literacy published within 2022.

This study examines the impact of the Association to Advance Collegiate Schools of Business (AACSB) accreditation on education quality. We discern the prospective influences of AACSB, focusing on shifts in teaching methods and content and assessment procedures.

Using a case study approach, in-depth interviews are conducted with a Japanese-accredited business school’s faculty members to understand their perceptions of the school’s education-quality issues. The data were thematically analyzed.

Respondents acknowledged that AACSB accreditation has positively influenced teaching, encouraging active learning and the case method. However, they also indicated that accreditation had a restrictive effect on assessment activities, pushing toward compliance rather than genuine learning evaluation. This dichotomy suggests a need for balancing standard adherence with the flexibility to maintain educational depth and assessment integrity.

Convenience sampling may introduce self-selection bias. Furthermore, the qualitative case study approach does not allow for statistical generalization. However, when combined with existing literature, the findings can be analytically generalized and transferred to other contexts.

We provide insights regarding AACSB accreditation’s impact on business education, encompassing shifts in teaching methods and content and faculty perceptions of assessment. This study enhances the scholarly understanding of business school accreditation and offers guidance to accredited or accreditation-seeking academic institutions.

The purpose of this study is to examine the transformation expectations and well-being of lenders as a consequence of participation in peer-to-peer (p2p) lending in India. The study tested the influence of transformation expectations on well-being, social connectedness on transformation expectations and the influence of customer participation on financial empowerment of borrowers.

A cross-sectional survey research design was adopted to collect data from 434 customers in India. Structural equation modelling procedure was performed to test the hypothesized relationships.

The findings show that relational transformation expectations leads to well-being, while social connectedness influences self and relational transformation expectations. Further, customer participation has a positive influence on financial empowerment of borrowers.

Managers may use these findings to create suitable marketing strategies for increasing customer participation in p2p lending.

Previous studies on transformative services have shown that well-being can be achieved through participation in services that are transformative by design, while this study has established that lender participation in peer-to-peer lending can result in relational transformation expectations and lead to well-being. Also, the current study has shown that social connectedness is an antecedent of transformation expectations.