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Alam, Sana; Zardari, Shehnila; Shamsi, Jawwad
2023 Library Hi Tech
The research work provides a comprehensive bibliometric analysis on blockchain in general and with respect to trust and reputation management in particular. The research work also incorporates the research progress in Pakistan in the field of blockchain.Design/methodology/approachThe research study is conducted in three phases in which 9 different research questions are assessed for the time duration of 2012–2020 on a total of 9,314 published studies. The source of the research study is from one of the most prestigious databases, the Web of Science (WoS). The scholarly publication includes analysis on WoS categories, annual publication trends, types of documents, research areas, and collaboration network amongst countries, co-word analysis, top 10 countries and top 10 organizations with respect to research publications. The authors use VOSviewer tool to generate collaboration network of countries and co-occurrence network for co-word analysis. The connecting thread among the research question is the overarching research objective of exploring and understanding research out in blockchain. The authors have conducted the research in three phases. Phase 1 is planned to show various quantitative analysis of blockchain worldwide with respect to all 9 questions. In Phase II, prime importance is being given to the trust and reputation management aspect of blockchain. Phase III is concerned with the findings of 9 research questions with Pakistan as the ultimate focus.FindingsMajor findings include that China and the USA are the leading countries as they have contributed the most in research field of blockchain. Computer science emerged as the leading research area. The first research article dates back to 2013 with significant rise in publication trend over the last 4 years from 2017–2020. Trust management emerged as one of the key fields where blockchain plays a pivotal role. Pakistan occupies a position in top 20 countries with respect to research contribution. However, in order to rank amongst top 10 research countries, Pakistan needs rapid technological advancement. The immense rise in research publication trend in Pakistan from the year 2019–2020 as compared to prior 2019 era indicates that due focus is being given in the field of blockchain in Pakistan since the last two years.Research limitations/implicationsThe authors have considered WoS data source. Therefore, the study is limited to those published scholarly studies which are present in WoS database. More detailed assessment can be performed by analyzing other data resources. The authors have performed analysis based on 9 research questions. However, other parameters can also be included to perform more enhanced and detailed analysis. All types of documents are included in our research work including secondary studies also. However, some authors might not prefer to include all types of documents.Practical implicationsThe paper includes implications for the development of trust and reputation management area of blockchain.Originality/valueThe bibliometric analysis is worthy for scholars, researchers and students to help them make better decision in the field of blockchain with respect to various parameters. The study also serves as a motivating factor to conduct research in the area of blockchain with any language as a medium of research.
Awan, Waqar Ahmad; Abbas, Akhtar
2023 Library Hi Tech
The purpose of this study was to map the quantity (frequency), quality (impact) and structural indicators (correlations) of research produced on cloud computing in 48 countries and 3 territories in the Asia continent.Design/methodology/approachTo achieve the objectives of the study and scientifically map the indicators, data were extracted from the Scopus database. The extracted bibliographic data was first cleaned properly using Endnote and then analyzed using Biblioshiny and VosViewer application software. In the software, calculations include citations count; h, g and m indexes; Bradford's and Lotka's laws; and other scientific mappings.FindingsResults of the study indicate that China remained the most productive, impactful and collaborative country in Asia. All the top 20 impactful authors were also from China. The other most researched areas associated with cloud computing were revealed to be mobile cloud computing and data security in clouds. The most prominent journal currently publishing research studies on cloud computing was “Advances in Intelligent Systems and Computing.”Originality/valueThe study is the first of its kind which identified the quantity (frequencies), quality (impact) and structural indicators (correlations) of Asian (48 countries and 3 territories) research productivity on cloud computing. The results are of great importance for researchers and countries interested in further exploring, publishing and increasing cross country collaborations related to the phenomenon of cloud computing.
Cui, Wenyue; Tang, Jie; Zhang, Zhipeng; Dai, Xin
2023 Library Hi Tech
Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field.Design/methodology/approachThis article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field.FindingsThis research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth.Originality/valueThis study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.
Nawaz, Muhammad Sajid; Khan, Saif Ur Rehman; Hussain, Shahid; Iqbal, Javed
2023 Library Hi Tech
This study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated API recommendations.Design/methodology/approachIn this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004–2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies.FindingsThe outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers’ challenges, where mashup-oriented APIs and time-consuming process are frequently encountered challenges by the developers; (2) categorizing current state-of-the-art API recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques); (3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in API recommendation context; (4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques; (5) performing a SWOT analysis on the selected studies; (6) based on the developer’s challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in API recommendations context.Research limitations/implicationsThis study provides complete guidance to the new researcher in the context of API recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based API, automatic service recommendation and API location) in the future. Moreover, the developers can overcome the identified challenges (including mashup-oriented API, Time-consuming process, learn how to use the API, integrated problem, API method usage location and limited usage of code) in the future by proposing a framework or recommendation system. Furthermore, the classification of current state-of-the-art API recommendation techniques also helps the researchers who wish to work in the future in the context of API recommendation.Practical implicationsThis study not only facilitates the researcher but also facilitates the practitioners in several ways. The current study guides the developer in minimizing the development time in terms of selecting relevant APIs rather than following traditional manual selection. Moreover, this study facilitates integrating APIs in a project. Thus, the recommendation system saves the time for developers, and increases their productivity.Originality/valueAPI recommendation remains an active area of research in web and mobile-based applications development. The authors believe that this study acts as a useful tool for the interested researchers and practitioners as it will contribute to the body of knowledge in API recommendations context.
Shahzad, Khurram; Khan, Shakeel Ahmad
2023 Library Hi Tech
Major objective of the instant study was to investigate the factors affecting the adoption of integrated semantic digital libraries (SDLs). It attempted to find out the challenges faced in implementing semantic technologies in digital libraries. This study also aimed to develop a framework to provide practical solutions to efficiently adopt semantic digital library systems to offer richer data and services.Design/methodology/approachTo meet the formulated objectives of the study, a systematic literature review was conducted. The authors adhered to the “Preferred Reporting Items for the Systematic Review and Meta-analysis” (PRISMA) guidelines as a research method. The data were retrieved from different tools and databases. In total, 35 key studies were included for systematic review after having applied standard procedures.FindingsThe findings of the study indicated that SDLs are highly significant as they offered context-based information resources. Interoperability of the systems, advancement in bilateral transfer modules, machine-controlled indexing, and folksonomy were key factors in developing semantic digital libraries. The study identified five different types of challenges to build an integrated semantic digital library system. These challenges included ontologies and interoperability, development of a suitable model, diversity in language, lack of skilled human resources, and other technical issues.Originality/valueThis paper provided a framework that is based on practical solutions as a benchmark for policymakers to devise formal standards for the initiation to develop integrated semantic digital libraries.
Rafique, Azra; Ameen, Kanwal; Arshad, Alia
2023 Library Hi Tech
The purpose of this study is to examine the evidence-based use patterns of Higher Education Commission (HEC) subscribed e-books databases by the academic community at institutions of higher education in Pakistan. The study also investigates the differences in usage based on points of access, scholarly disciplines and gender of users.Design/methodology/approachA transaction log analysis (TLA) method was used to explore the use patterns of HEC e-books databases at the University of the Punjab, utilizing the SAWMILL analytical software and MS Excel.FindingsThe results of the study showed that the use of e-books was at a growing stage at the university. Male boarding students of the university were more active users of e-books as compared to their female counterparts. The Central Library of the University of the Punjab, the Department of Zoology and the Institute of Communication Studies were the most frequently used access points for the e-book users, and the Faculties of Sciences, Life Sciences, Economics and Management Sciences had the most active e-book readers. Furthermore, it was found that the HEC e-books databases were only being used during the four months of summer vacations at the university.Research limitations/implicationsThe study provides only descriptive use frequencies rather than a deep log analysis of e-books usage.Practical implicationsThis research provides important practical implications for examining the evidence-based use patterns of e-books databases' users at the higher educational level. The research suggests that HEC should maintain subscriptions of the most required e-books databases and that the information professionals should conduct orientations and information literacy programs to enhance the utilization of these subscribed databases among female boarder students and those faculties where they were being used less frequently.Originality/valueThe study is the second part of the first phase of a Ph.D. project. This is the first large scale study conducted in a developing country which reports the close to actual, approximate use patterns of e-books based on raw transaction logs of local cache servers at the higher academic level.
Wang, Wei; Zhao, Yongyong; Wu, Yenchun Jim; Goh, Mark
2023 Library Hi Tech
Although MOOCs have become a pervasive online learning model, the problem of high dropout rates still persists. Gathering the reasons for the high dropout rate can help to improve the platform design and management of the MOOCs.Design/methodology/approachA total of 74 studies was extracted from the Web of Science and Scopus. Following the PRISMA (Preferred Reporting Items for systematic Reviews and Meta-Analyses) guidelines, the open-source program CiteSpace is employed to review and induce the studies on the antecedents of MOOC dropout.FindingsThe antecedents of the MOOC dropout rate are the psychological, social, personal, course-related, and time factors, and the unexpected hidden cost. Motivation and interaction, which have a decisive impact on the dropout rate of MOOCs, interact with each other. Interaction helps to strengthen the motivation, and appropriate course design enhances the degree of interaction.Originality/valueFrom the perspective of a learner, the more knowledge and skills the learners acquire, the more likely they will complete the course. Possessing adequate foundational knowledge is one way to arrest the dropout rate. On the part of the MOOC platform, better course design eases the dropout rate. Further, the course duration and hidden cost in MOOCs contribute to the dropout rate.
Wang, Xu; Feng, Xin; Guo, Kaixuan
2023 Library Hi Tech
Quantitative analysis of existing literature is conducted to compare the textual features of ethics education in science and technology under the broad theme of ethics in science and technology. On this basis, the authors reveal the research hotspots and topic evolution in this field, and propose development suggestions in conjunction with the 5W theory.Design/methodology/approachIn this paper, the authors visualize the graph and quantify the indicators in four aspects: time series, institutional collaboration, author co-authorship, and research hotspots.FindingsCompared to ethics of science and technology, the research results in the field of ethics of science and technology education are limited. There is still room for improvement in the low density of cooperation between authors and institutions. The research themes are focused on theoretical discussions and countermeasure research. At present, the reform of ethics of science and technology is still in its infancy and has not yet formed a perfect system for education and personnel training. It is necessary for research on the ethical theory of technology to provide theoretical support.Originality/valueIn the context of sustainable development strategies, it is beneficial to explore the path of pedagogical optimization of ethics of science and technology in this study. This includes the maintenance of a good research environment and the realization of a healthy development in the field of science and technology.
Qureshi, Muhammad Sajid; Daud, Ali; Hayat, Malik Khizar; Afzal, Muhammad Tanvir
2023 Library Hi Tech
Academic rankings are facing various issues, including the use of data sources that are not publicly verifiable, subjective parameters, a narrow focus on research productivity and regional biases and so forth. This research work is intended to enhance creditability of the ranking process by using the objective indicators based on publicly verifiable data sources.Design/methodology/approachThe proposed ranking methodology – OpenRank – drives the objective indicators from two well-known publicly verifiable data repositories: the ArnetMiner and DBpedia.FindingsThe resultant academic ranking reflects common tendencies of the international academic rankings published by the Shanghai Ranking Consultancy (SRC), Quacquarelli Symonds (QS) and Times Higher Education (THE). Evaluation of the proposed methodology advocates its effectiveness and quick reproducibility with low cost of data collection.Research limitations/implicationsImplementation of the OpenRank methodology faced the issue of availability of the quality data. In future, accuracy of the academic rankings can be improved further by employing more relevant public data sources like the Microsoft Academic Graph, millions of graduate's profiles available in the LinkedIn repositories and the bibliographic data maintained by Association for Computing Machinery and Scopus and so forth.Practical implicationsThe suggested use of open data sources would offer new dimensions to evaluate academic performance of the higher education institutions (HEIs) and having comprehensive understanding of the catalyst factors in the higher education.Social implicationsThe research work highlighted the need of a purposely built, publicly verifiable electronic data source for performance evaluation of the global HEIs. Availability of such a global database would help in better academic planning, monitoring and analysis. Definitely, more transparent, reliable and less controversial academic rankings can be generated by employing the aspired data source.Originality/valueWe suggested a satisfying solution for improvement of the HEIs' ranking process by making the following contributions: (1) enhancing creditability of the ranking results by merely employing the objective performance indicators extracted from the publicly verifiable data sources, (2) developing an academic ranking methodology based on the objective indicators using two well-known data repositories, the DBpedia and ArnetMiner and (3) demonstrating effectiveness of the proposed ranking methodology on the real data sources.
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