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1 – 5 of 5Amara Malik, Ayesha Gulzar, Muhammad Ajmal Khan and Nadeem Siddique
This study aims to analyze the literature on Generation Z (Gen Z) accessible through Scopus to determine which nations, universities and writers have the highest publication and…
Abstract
Purpose
This study aims to analyze the literature on Generation Z (Gen Z) accessible through Scopus to determine which nations, universities and writers have the highest publication and citation rates on the topic. Together with identifying the most popular keywords and trending topics over the years found in the literature analysis, the study also aims to ascertain the patterns of collaboration among writers and nations.
Design/methodology/approach
The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used applications such as Biblioshiny, VosViewer, Python, MS Access, Power BI and Excel to collect, analyze and present the literature.
Findings
The analysis shows that authors prefer to use the terms “Gen Z”, “digital natives” and “social media” most often. Findings revealed that the topic is well-researched in different fields of study including social science, computer science, business management, engineering and arts and humanities from the perspective of various world regions such as Europe, America, Australia and Asia. However, the African region was less discussed in the literature, indicating the need for more research covering the context of underdeveloped nations. Moreover, the USA accounts for the greatest proportion of publications produced in cross-border collaboration, especially with China and the UK.
Research limitations/implications
This examination is crucial for academics and researchers, policymakers and businesses seeking insights into the preferences, challenges and opportunities associated with this generation to inform effective strategies and decision-making. Furthermore, by identifying key themes, trends and gaps in the existing literature, this paper can serve as a foundational study for future researchers to select the prospective research topics related to Gen Z.
Originality/value
To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on Gen Z. This paper is an attempt to fill the research gap on the topic and also shares implications for relevant stakeholders and future research directions for prospective researchers.
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Muhammad Safdar, Nadeem Siddique, Ayesha Gulzar, Haisim Yasin and Muhammad Ajmal Khan
ChatGPT is a new development in this technological era. This artificial intelligence-based tool responds to individuals’ queries and produces the requested content within seconds…
Abstract
Purpose
ChatGPT is a new development in this technological era. This artificial intelligence-based tool responds to individuals’ queries and produces the requested content within seconds. Therefore, it is becoming popular among academics, the research community and library professionals. This study aims to test (through personal interaction with the tool) the authenticity of the ChatGPT’s produced records. Another objective of the research is to check the relevance between the individuals’ queries and the tool’s results. The research also intends to identify the challenges in retrieving information through ChatGPT.
Design/methodology/approach
The five researchers from different countries and organizations experienced ChatGPT by asking questions on more than 70 subjects. The responses were recorded in Notepad and converted into MS Excel and MS Access to standardize and analyze the data. The investigators consulted 11 reputed databases/sources, including Web of Science and Scopus, to assess the authenticity of the data retrieved through ChatGPT.
Findings
The findings confirmed that over 90% of results produced by ChatGPT were fake (the information did not exist in the literature). Similarly, the study sheds light on the discrepancies, such as irrelevant and incomplete information in the data generated by ChatGPT.
Originality/value
This is a unique study that shares the findings based on the different regions’ researchers’ personal experiences with ChatGPT. The researchers covered different subject areas (above 70) while asking questions to ChatGPT. The paper shares implications for researchers, students, faculty members, academic/research organizations and policymakers.
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Muhammad Safdar, Nadeem Siddique, Ayesha Gulzar, Syed Adnan Adil, Haisim Yasin and Muhammad Ajmal Khan
This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions…
Abstract
Purpose
This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature.
Design/methodology/approach
The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature.
Findings
It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic.
Originality/value
To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.
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The objective of this study was to look closely at how domestic violence is represented in Pakistani drama serials to see if portrayals are reinforcing stereotypical and/or…
Abstract
Purpose
The objective of this study was to look closely at how domestic violence is represented in Pakistani drama serials to see if portrayals are reinforcing stereotypical and/or patriarchal values, or breaking the rigid norms.
Design/methodology/approach
With the help of dispositive analysis within the critical discourse approach, the prominent and non-dominant discourses about domestic violence were identified and discussed. Episodes from two popular drama serials, Kaisa Yeh Naseeban and Khaas, released in 2019, were watched with special focus on texts on domestic violence alongside objects and actions.
Findings
Analysis showed that both drama serials gave importance to socio-systemic and liberal humanist instrumentalism discourses, which describe domestic violence as a result of social structures and that abuse is used to assert control, respectively. However, some instances were noted where patriarchal values were encouraged.
Originality/value
As media has become a powerful tool of influence and awareness in the recent times, it is imperative that the content watched on it by millions of people be studied and analyzed. It is claimed that Pakistani drama serials with wide following and that are made on social issues around women aim to raise awareness and empower them. Domestic violence is a prevalent issue in Pakistan, and no research till date has examined representation of domestic violence on Pakistani popular media, which may influence response to domestic violence, which this paper aims to do.
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