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Information Discovery and Delivery
Number of Followers: 44  Hybrid journal * Containing 2  Open Access article(s) in this issue *ISSN (Print) 0264-1615 - ISSN (Online) 2398-6247 Published by Emerald  [362 journals]
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- Consumers’ innovativeness and acceptance towards use of financial
technology in Pakistan: extension of the UTAUT model-
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Authors: Imran Mehboob Shaikh, Hanudin Amin
Abstract: This paper aims to examine the factors that influence bank customers’ acceptance towards FinTech using the unified theory of acceptance and use of technology (UTAUT) model. A survey was carried out, and a judgemental sampling method was used. Moreover, over 200 responses were gathered from individuals that were bank account holders. Besides, the literature on the factors that influence an individual acceptance towards FinTech using the UTAUT model was also reviewed as an effort to contribute towards the factors that are significant in predicting the acceptance of FinTech services. The results of the study revealed that performance expectancy and effort expectancy are the main factors in determining the acceptance of FinTech services. Moreover, consumer innovativeness plays an important role in the acceptance of FinTech by bank users. In contrast, social influence and facilitating conditions were not the determinants of FinTech acceptance in Pakistan. This study not only contributed to the theoretical extensions but also to practical implications, which would benefit the community of FinTech service providers in Pakistan. The limitations of this study were two but are not limited to, firstly, the respondents which were taken among bank customers in Pakistan, confining its contribution to the narrowed perspective of Pakistan. Besides, this study also considers its contributions towards the use of the UTAUT in which the factors examined were specific, which may elucidate that the generalization of the findings only includes FinTech, where the UTAUT comes into play. This study is an eye-opener for the merging perspective of both the UTAUT and FinTech. UTAUT is extended in the context of FinTech. Consumer innovativeness is incorporated in the context of the UTAUT model. Consumer innovativeness is yet to be tested and for that this study is a useful reference for academicians, policymakers and future researchers.
Citation: Information Discovery and Delivery
PubDate: 2023-05-22
DOI: 10.1108/IDD-08-2022-0080
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- The efficiency measurement of business intelligence systems in the big
data-driven economy: a multidimensional model-
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Authors: Aws Al-Okaily, Ai Ping Teoh, Manaf Al-Okaily, Mohammad Iranmanesh, Mohammed Azmi Al-Betar
Abstract: There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry. A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach. The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry. The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance. To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.
Citation: Information Discovery and Delivery
PubDate: 2023-04-27
DOI: 10.1108/IDD-01-2022-0008
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- A 30-year bibliometric assessment and visualisation of emotion regulation
research: applying network analysis and cluster analysis-
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Authors: Samsur Rahaman, Punita Govil, Daud Khan, Tanja D. Jevremov
Abstract: The emotion regulation research has drawn considerable attention from academicians and scholars in the contemporary world. As a result, the publications that are specifically dedicated to emotion regulation research are rapidly escalating. Therefore, this study aims to conduct a bibliometric analysis of research articles that have been published in the field of “emotion regulation.” The study primarily examines the growth and development of scholarly publications, seminal studies, influential authors, productive journals, research production and collaboration among countries, emerging research themes, research hotspots and thematic evolution of emotion regulation research. The Web of Science Core Collection database was used to gather the study’s data, which was then analysed using VOSviewer and Bibliometrix, Biblioshiney open-source package of the R language environment. The study’s results reveal that the research on emotion regulation has grown significantly over the last three decades. Notably, Emotion and Frontiers in Psychology are the most dominant and productive journals in the field of emotion regulation research. The most prominent author in the area of emotion regulation is identified as James Gross, followed by Gratz, Wang and Tull. The USA is at the forefront of research on emotion regulation and has collaborated with most of the developed countries like Germany, England and Canada. The keyword analysis revealed that the most potential research areas in the field of emotion regulation are functional magnetic resonance imaging, amygdala, post-traumatic stress disorder, borderline personality disorder, alexithymia, emotion dysregulation, depression, anxiety, functional connectivity, neuroimaging, mindfulness, self-regulation, resilience and coping. The thematic evolution reflects that the research on emotion regulation has recently focused on issues including Covid-19, non-suicidal self-injury, psychological distress, intimate partner violence and mental health. The results of this study highlighted the current knowledge gaps in emotion regulation research and suggested areas for further investigation. The present study could be useful for researchers, academicians, planners, publishers and universities engaged in emotion regulation research.
Citation: Information Discovery and Delivery
PubDate: 2023-04-21
DOI: 10.1108/IDD-11-2022-0110
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Global overview of research data repositories: an analysis of re3data
registry-
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Authors: Aasif Mohammad Khan, Fayaz Ahmad Loan, Umer Yousuf Parray, Sozia Rashid
Abstract: Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature. The data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization. The re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”. The main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated. The study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.
Citation: Information Discovery and Delivery
PubDate: 2023-04-19
DOI: 10.1108/IDD-07-2022-0069
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Empirical analysis of open government data usage in Tanzania
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Authors: Deo Shao
Abstract: Despite the potential benefits of open government data (OGD) and its recent adoption by many governments, little is known about monitoring its use by the public. This paper aims to address the knowledge gap by empirically examining OGD usage in Tanzania. A field survey design was used to gather quantitative data from 288 people in seven regions of Tanzania to facilitate an analysis of the determinants of users’ behavioural intention and use behaviour of OGD. Guided by the Unified Theory of Acceptance and Use of Technology model, the study analysed the tendencies of these determinants on the use of the OGD portal. The results show that performance expectancy, effort expectancy, social influence and facilitating conditions affect users’ acceptance and use of the OGD portal. The results suggest that OGD initiatives should focus more on their potential applications than publication. It is important to monitor and evaluate OGD use and the conditions that allow it to continue. By linking OGD with other government initiatives, governments can build strategies, capacity and social awareness. During the development of OGD platforms for extensive reuse, new data technologies like the semantic web should be considered. Hitherto, research has underlined the significance of OGD initiatives at large and that studies in developing countries are scarce, especially that probe the uptake of the current efforts. The present study seeks to plug this research gap by examining the use of OGD in Tanzania’s context.
Citation: Information Discovery and Delivery
PubDate: 2023-04-19
DOI: 10.1108/IDD-10-2022-0098
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Information consolidation and repackaging for augmented reality library
service: a special reference to the Layar app-
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Authors: Santosh Abaji Kharat, Shubhada Nagarkar, Bhausaheb Panage
Abstract: The purpose of this research is to introduce the Layar augmented reality (AR) application among library users and to understand the user’s satisfaction towards the information services provided by the Layar application with the help of the structural equation model (SEM). According to Thomas (2016), action research is mainly undertaken to develop new skills or new approaches and to solve issues and problems with direct application to any applied setting. The present study helps to develop new skills and approaches to repackaging information using AR applications. Researchers have identified the question of what could be done to increase the awareness of Layar AR applications among students. Because the Layar augmented application is one of the new tools for an academic library to repackage information for mass accessibility. Therefore, in the present action research approach, researchers encompass two activities action and research. Researchers have used participatory action research methods by collecting data from 17 MBA institute libraries affiliated with Savitribai Phule Pune University. Researchers have systematically used the Layar application in the library by obtaining permission from each higher authority. Researchers have designed a Layar satisfaction model using the SEM with AMOS and SPSS. The researcher found that the relationship between experience, performance and service quality is positively significant. The user’s experience is satisfied with the Layar application, but users are not satisfied with the service quality and performance of the Layar application. This study tested Layar AR application in MBA libraries affiliated with Savitribai Phule Pune University in the Pune and Pimpri Chinchwad areas. The Layar app helps the academic library to convert selected print collections into an AR feel for library users. This is an additional method of providing information services to users through mobile devices. A total of 157 students downloaded the Layar application from their handsets and provided feedback through a questionnaire. Researchers have found that the relationships between users and Layar experience, performance and service quality are positively significant. The user experience is satisfied with the Layar application, but users are not satisfied with the service quality and performance of the Layar application. This study examined the performance, service quality and user experience of Layar applications. Structural equation and Modelling theories were used to examine the relationship between user satisfaction and information services using the Layar application.
Citation: Information Discovery and Delivery
PubDate: 2023-04-10
DOI: 10.1108/IDD-03-2022-0022
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Global research performance on social media security: a bibliometric
visualization analysis-
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Authors: Devang Chhtrapati, Dharmendra Trivedi, Shanti P. Chaudhari, Arpit Sharma, Atul Bhatt
Abstract: This study concentrates on assessing the research productivity in the domain of social media security in the past decades. The purpose of this study is to conduct a comprehensive bibliometric review on social media using various bibliometric indicators. A total of 8,121 scientific publications were retrieved from Scopus database from period 1998 to 2021 using associated keyword search. This study also used VOSviewer© tool to evaluate the network visualisation. The result of this study revealed that there is a steady growth of annual publications except for the years 2015 and 2016. A total of 8,121 scientific publications and 80,454 total citations were found with 11.2 average citations per publication. The USA, China and India were top productive countries in terms of publishing research in the field; Chinese Academy of Sciences secured top position with 126 publications in highly productive organisation in the domain. The lecture notes in computer science from Springer Nature received a highly produced title with 553 publications and 4,453 total citations. For co-occurrence of author’s keywords, network visualisation analysis revealed that “Social Media”, “Social Network”, “Security”, “Privacy” and “Trust” found maximum occurrence in the domain of social media security. This study provides comprehensive research status of social media security by performing a bibliometric analysis. The findings of this study will help relevant researchers to understand the research trend, pursue scientific collaborators and enhance research topic preferences. The rareness of this study, detailed bibliometric analysis on the domain of social media security, is proven using numerous bibliometric indicators and application of VOSviewer in the domain.
Citation: Information Discovery and Delivery
PubDate: 2023-04-07
DOI: 10.1108/IDD-04-2022-0029
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Internet gaming addiction – a bibliometric review
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Authors: Kirti Gupta, Chanakya Kumar, Amruta Deshpande, Amit Mittal, Pallavi Chopade, Rajesh Raut
Abstract: The purpose of the study is to analyze a sample of 528 published papers over the past 11 years by conducting a bibliometric analysis. The study also aims to provide a consolidated overview of the existing literature on “gaming addiction” and presents the status of research with future directions for researchers who wish to explore and contribute to this rapidly evolving field. The descriptive statistics have been conducted through citation and co-citation analysis. For the bibliometric analysis, the documents were retrieved from the Scopus database with the help of the Scopus analyzer while the VOS viewer1.6.16 software was used to analyze citations, co-authorship, etc. The literature search strategy was applied across various databases and the articles published between 2010 and December 2021 giving a total of 1,219 articles across all disciplines. Finally, 528 articles were shortlisted through the query restricted to subject areas, namely, business management, psychology, social science and multidisciplinary areas. IGA has also been recognized by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, as one of the disorders; hence, this certainly calls for focussed efforts to understand the same and control further damage. The number of articles devoted to the study of “gaming addiction” has increased rapidly in recent years. Moreover, this study identifies some of the most influential articles in this area. Finally, this paper highlights the new trends and discusses the future research associated with gaming addiction. This study focusses on gaming addiction and its trends, related to researchers and country-wise contributions. This is one of the few studies to review the literature on gaming addiction by using citation and co-citation analysis. The main findings of this paper will help academicians and practitioners to improve the body of knowledge on the topic and provide an overview of promising future research avenues. Internet gaming is a newly emerging area and studies related to gaming addiction are very recent. To the best of the authors’ knowledge, this study is a unique and comprehensive overview of the leading works done in this area.
Citation: Information Discovery and Delivery
PubDate: 2023-03-27
DOI: 10.1108/IDD-10-2022-0101
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- A framework for assessing a country’s scientific productivity based on
published articles by scientists affiliated with that country-
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Authors: Negar Hamed Golzar, Elif Altunok, Amir Aghabaiglou, Muhammed Oğuzhan Külekci
Abstract: This study aims to propose a framework to assess the scientific productivity performance of a country in terms of its international visibility and national capabilities. In a given subject, all publications with at least one author from the target country as well as the received citations are counted as quantitative and qualitative indicators, respectively. The ratios of these counts to their expected values, which are estimated according to the global gross domestic product (GDP) and population percentages of the country are used to assess international visibility. Also, in certain publications, all authors are from the target country, therefore, their publication and citation proportions are provided as metrics of national competence. As a sample, this study analyzes Turkey’s performance in “Business, Economics & Management” and “Engineering & Computer Science” in the top 20 publication venues of the regarding subject areas according to Google Scholar Metrics taxonomy. This study shows that in some subfields, Turkey’s performance is 2.73–6 times as per expectations. This study also provides the international visibility assessment of all countries for the past two decades in “Theoretical Computer Science” which shows that Israel is a leading country based on this framework. This paper introduces new indices to evaluate a country’s national competence and international visibility on a subject field based on the number of published papers affiliated with the country and their citations by considering the global GDP and population share.
Citation: Information Discovery and Delivery
PubDate: 2023-03-21
DOI: 10.1108/IDD-08-2021-0082
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Analysing the relationship between altmetric attention score (AAS) and
citation: a correlational study-
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Authors: Dhruba Jyoti Borgohain, Mayank Yuvaraj, Manoj Kumar Verma
Abstract: The purpose of this study is to assess the value of altmetrics or other indicators, showcasing the impact of academic output, which is seen too often correlated with the citation count. This study considered three reputed journals of Library and Information Science (LIS) published by Elsevier. A total of 1,164 articles were found in these journals from 2016 to 2020 and the relationships between altmetric attention scores (AAS) and citations were examined. The analysis was extended to compare the grouped data set based on percentile ranks of AAS like top 50%, top 25%, top 10% and top 1%. Using Spearman correlation analysis, the findings reveal a positive correlation between AAS and citations with different significant levels for all articles, and articles with AAS, as well as for normalized AAS in the top 50%, top 25%, top 10% and top 1% data set. For the three journals International Journal of Information Management (IJIM), Journal of Informetrics (JIF) and Library and Information Science Research (LISR), a significant positive correlation is observed across all data sets. But an unexpected result was observed: in the case of the top 50% of articles for the IJIM and JIF showed no significant correlation but the LISR journal showed a positive correlation for the whole data set. This journal though has fewer articles in comparison to the other two. A source item that is highly cited may not be having high social media attention as reflected in the findings. This demarcates AAS with citations implying various factors on which these measurements are dependent. The study distinguishes these metrics lucidly. There is not a single guideline or uniformity in assessing the correlation found. But the problem is that the interpretation of the correlation strength affects the conclusion of the study. Moreover, this study will be a role model as a draft for librarians to select relevant journals for their libraries and will facilitate authors in the choice of the publication outlets for their papers, particularly concerning the journals that have both visibility and research impact. The study reported devising a comprehensive tool to validate AAS as a measure of scholarly impact to include appropriate social media sources and verify its relationship with other metrics. To the best of the authors’ knowledge, this paper is the first attempt to discover the correlation between AAS and citations for the highly impactful LIS journal published by Elsevier. The empirical evidence lies in the citation and altmetric data extracted from the dimension database.
Citation: Information Discovery and Delivery
PubDate: 2023-03-07
DOI: 10.1108/IDD-05-2022-0035
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Factors driving consumer attitude to online shopping hate
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Authors: Yasir Jamal, Tahir Islam, Abdul Ghaffar, Altaf Ahmed Sheikh
Abstract: The purpose of this study is to empirically investigate the determinants and consequences of psychological reactance in the online shopping context. Leveraging the psychological reactance and self-congruity theories, functional and symbolic discrepancies enhance the psychological reactance toward online shopping. In addition, trustworthiness moderates the impact of online customers attitude ambivalence on their psychological reactance. The authors conduct an empirical study on online customer cognitive factors. In this research paper, the postpositivism research view is used. The Smart PLS-SEM is used to analyze the data. The current study findings reveal that self-concept and operational incongruence (i.e. symbolic and functional) are the main factors that lead to psychological reactance and resulting in online shopping hate. Poor website quality and other matters are so significant they create functional incongruence. Moreover, low trustworthiness strengthens psychological reactance in the online shopping hate context. This study extends the psychological reactance and self-congruence theories to online shopping. Previously, literature has extensively studied the social commerce intention.
Citation: Information Discovery and Delivery
PubDate: 2023-03-07
DOI: 10.1108/IDD-11-2021-0128
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Use of software for automation of academic libraries in Sialkot
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Authors: Mazhar Iqbal, Muhammad Kabir Khan, Arslan Sheikh
Abstract: The aim of this study was to investigate the use of software for the automation of academic libraries in Sialkot. This study consisted of three objectives, including recognizing the reasons to adopt the software for library automation, investigating the problems faced by librarians while using library software and identifying the satisfaction level with the attributes of library software. A quantitative research approach was used to achieve the objectives of this study. A survey was conducted to collect data from the library information science professionals working in the academic libraries of Sialkot. The data was collected from 46 library professionals through a structured questionnaire. The findings showed that the economic cost of implementation, maintenance and the software providing multilingual support were the major reasons for adoption of software for the purpose of automation. In this study, compliance with the internet, noncooperation in library automation by university/institution, availability of training facilities, insufficient library budget, a lack of financial/economic resources, staff transfer and a lack of consultancy and technical service were identified as major issues when using library automation software. However, the respondents were quite satisfied with the performance of software attributes including circulation modules, easy to use cataloguing modules, reports’ modules, software attributes of administration modules and multilingual facility. This study persuades library and information science professionals to automate their libraries through the adoption of library software.
Citation: Information Discovery and Delivery
PubDate: 2023-02-28
DOI: 10.1108/IDD-08-2022-0081
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Internet of Things and organizational performance in the Tanzanian banks
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Authors: Simeo Kisanjara
Abstract: The adoption of the Internet of Things (IoT) as a new technology is gaining traction in many business organizations in developing countries. The purpose of this study is to assess the effect of IoT on the organizational performance of Tanzanian banks. For data collection, this study used a quantitative approach with a questionnaire. A total of 342 respondents were considered, with an 82.16% response rate. AMOS software was used to analyze data using structural equation modeling (SEM) as the primary technique. The results revealed that the majority of the hypotheses tested in this study have a significant effect on organizational performance, as indicated by their p-value of 0.05. However, there is no statistically significant effect of performance expectancy on organizational performance by lowering IoT operation costs. Furthermore, the availability of IoT has no discernible effect on organizational performance by improving service quality. The findings of this study inform policymakers to reformulate information and communication technologies policy to clearly spell out the adoption and implementation of the IoT as a new technological innovation for providing services not only in the banking sector but also in other service delivery organizations. In particular, the policy should have a clear vision of implementing an appealing, conducive and positive, meaningful service delivery environment, as well as achieving appropriate, successful, effective and sustainable organizational performance As a result, this paper contributes to a better understanding of the factors (including performance expectancy, effort expectancy and accessibility) of IoT on organizational performance by influencing operational costs, service delivery speed and service quality. These factors were not adequately addressed in previous related studies, and they have a significant influence on organizational performance levels in Tanzanian banks.
Citation: Information Discovery and Delivery
PubDate: 2023-02-27
DOI: 10.1108/IDD-04-2022-0031
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Reflection on possible role of academic libraries in facilitating
post-COVID-19 food security-
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Authors: Adesola Victoria Alade, Alexis Isioma Ureki, Clement Ola Adekoya
Abstract: Year 2020 recorded an unprecedented bewilderment of the world with novel COVID-19, thereby threatening global food security. As such, there is need for academic libraries in Nigeria to provide information regarding food security to users to ensure post-COVID-19 food security. This study, therefore, aims to reflect on the role of academic libraries in facilitating post-COVID-19 food security in Nigeria. Descriptive research design of survey type was used for the study. Librarians and library officers in academic libraries in south-west Nigeria were considered for the study. Self-structured online questionnaire was sent to the respondents via social media. The data generated were analysed using frequency count and simple percentage. It was found that academic libraries performed significant role during the COVID-19 period by disseminating online information on preventive measures, and supporting research team with information on the pandemic. The study further found that the services of academic libraries are strongly required in facilitating post-COVID-19 food security, even in the face of some challenges. In the face of the looming COVID-19-induced food shortage, it becomes evident that academic libraries have to support individuals, farmers, research teams and organisations with information and information resources that can help in accomplishing global food security. Failure of academic libraries to offer the required support in terms of provision of necessary information resources on agriculture may make the attainment of COVID-19 food security difficult. Ensuring post-COVID-19 food security is an issue of global concern. This study encourages academic libraries to expedite action to contribute towards ensuring post-COVID-19 global food security.
Citation: Information Discovery and Delivery
PubDate: 2023-02-27
DOI: 10.1108/IDD-06-2021-0065
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Information literacy development and competencies of high school students
in Accra-
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Authors: Philip Kwaku Kankam
Abstract: Information literacy (IL) is clearly important for academic performance, as evidenced by literature. It could be defined as a set of abilities, attitudes and experiences that enable people to recognize when they need information to solve an issue. The importance of investigating students’ IL competencies cannot be overstated. This study therefore aims to look into the IL development and competencies of high school students in Accra, as there appears to be a dearth of systematic study on this in Ghana. To investigate this phenomenon, the study used a survey research design with a mixed-methods approach and a post-positivist research paradigm. A total of 454 high school students, 3 librarians and 3 heads of ICT departments from three senior high schools in Accra participated in this study. This study used two methods: an audit of the IL programmes and practices available at the selected schools as well as IL literacy assessment through the use of a standardized test instrument. The data collection tools used were a semi-structured interview schedule and a questionnaire. This study found that high school students in Accra had low IL competencies. Again, the findings of this study revealed that inadequate infrastructure and lack of formalized IL instructions in schools hindered the IL development of students. The author considers the study original both in conceptualization and design. The main question being interrogated stems from identified gaps in the literature and this study intends to fill these knowledge gaps. This study’s originality also stems from the fact that there is a paucity of information on the subject of study in the context of Ghana. This study recommends the need to integrate IL in the school curriculum to ensure effective and efficient IL instructions in high schools.
Citation: Information Discovery and Delivery
PubDate: 2023-02-16
DOI: 10.1108/IDD-10-2021-0114
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Knowledge graph embedding for experimental uncertainty estimation
Open Access Article-
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Authors: Edoardo Ramalli, Barbara Pernici
Abstract: Experiments are the backbone of the development process of data-driven predictive models for scientific applications. The quality of the experiments directly impacts the model performance. Uncertainty inherently affects experiment measurements and is often missing in the available data sets due to its estimation cost. For similar reasons, experiments are very few compared to other data sources. Discarding experiments based on the missing uncertainty values would preclude the development of predictive models. Data profiling techniques are fundamental to assess data quality, but some data quality dimensions are challenging to evaluate without knowing the uncertainty. In this context, this paper aims to predict the missing uncertainty of the experiments. This work presents a methodology to forecast the experiments’ missing uncertainty, given a data set and its ontological description. The approach is based on knowledge graph embeddings and leverages the task of link prediction over a knowledge graph representation of the experiments database. The validity of the methodology is first tested in multiple conditions using synthetic data and then applied to a large data set of experiments in the chemical kinetic domain as a case study. The analysis results of different test case scenarios suggest that knowledge graph embedding can be used to predict the missing uncertainty of the experiments when there is a hidden relationship between the experiment metadata and the uncertainty values. The link prediction task is also resilient to random noise in the relationship. The knowledge graph embedding outperforms the baseline results if the uncertainty depends upon multiple metadata. The employment of knowledge graph embedding to predict the missing experimental uncertainty is a novel alternative to the current and more costly techniques in the literature. Such contribution permits a better data quality profiling of scientific repositories and improves the development process of data-driven models based on scientific experiments.
Citation: Information Discovery and Delivery
PubDate: 2023-02-08
DOI: 10.1108/IDD-06-2022-0060
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Construction and evaluation of a domain-specific knowledge graph for
knowledge discovery-
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Authors: Huyen Nguyen, Haihua Chen, Jiangping Chen, Kate Kargozari, Junhua Ding
Abstract: This study aims to evaluate a method of building a biomedical knowledge graph (KG). This research first constructs a COVID-19 KG on the COVID-19 Open Research Data Set, covering information over six categories (i.e. disease, drug, gene, species, therapy and symptom). The construction used open-source tools to extract entities, relations and triples. Then, the COVID-19 KG is evaluated on three data-quality dimensions: correctness, relatedness and comprehensiveness, using a semiautomatic approach. Finally, this study assesses the application of the KG by building a question answering (Q&A) system. Five queries regarding COVID-19 genomes, symptoms, transmissions and therapeutics were submitted to the system and the results were analyzed. With current extraction tools, the quality of the KG is moderate and difficult to improve, unless more efforts are made to improve the tools for entity extraction, relation extraction and others. This study finds that comprehensiveness and relatedness positively correlate with the data size. Furthermore, the results indicate the performances of the Q&A systems built on the larger-scale KGs are better than the smaller ones for most queries, proving the importance of relatedness and comprehensiveness to ensure the usefulness of the KG. The KG construction process, data-quality-based and application-based evaluations discussed in this paper provide valuable references for KG researchers and practitioners to build high-quality domain-specific knowledge discovery systems.
Citation: Information Discovery and Delivery
PubDate: 2023-02-03
DOI: 10.1108/IDD-06-2022-0054
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- How informational factors affect consumers when purchasing secondhand
books online-
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Authors: William A. Ellegood, Jason M. Riley
Abstract: This study aims to understand how informational factors influence online purchase intention when considering secondhand books. A conceptual model linking book condition, description, delivery cost, picture, sellers’ rating and delivery date to purchase intention was developed and tested by using structural equation modeling. Survey data from 234 respondents was used to analyze both direct and mediating relationships. The examination demonstrates how book condition, delivery cost and sellers’ rating influence consumers’ purchase intention. Book condition directly and indirectly influenced purchase intention, while delivery cost and sellers’ rating were significant only when including the mediating variable delivery date. This work clarifies where resources should be allocated when offering secondhand books online. Sellers should dedicate time to include informational factors such as book condition, delivery cost and sellers’ rating. Contra wise, there is little value expounding on the book’s description or providing a high-quality picture when selling online.
Citation: Information Discovery and Delivery
PubDate: 2023-01-12
DOI: 10.1108/IDD-05-2022-0037
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Examining the predictors of multitasking information behavior among
library and information science professionals in Pakistan-
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Authors: Nadia Butt, Nosheen Fatima Warraich
Abstract: The multitasking phenomenon has been prevailing in the technology-driven information environment. People are engaged in multitasking to process information and deal with personal and professional information tasks. This study aims to explore the external predictors of multitasking information behavior (MIB) of library and information science (LIS) professionals from Pakistan. This is a quantitative study based on a questionnaire survey, and data was collected through Google Form; the link was shared via e-mail and WhatsApp to get maximum responses. The sampling includes the LIS professionals working in Higher Education Commission-recognized universities of Khyber Pakhtunkhwa (KPK), Pakistan. A total of 126 responses were received from 41 universities of KPK. Pearson correlation and regression were applied by using SPSS for data analysis. The findings revealed that time pressure (TP) is a good predictor of multitasking because when professionals got tasks with deadlines, they try to perform multiple activities at a time. Therefore, TP is a predictor of human MIB. This study also revealed that the work environment is a less significant predictor of MIB, and the use of multiple information resources is a weak predictor of MIB. It is noted that individual covariates were not predictors of the multitasking information. However, TP was the most significant predictor among all the contextual and individual factors predicting MIB. This research line is significant because MIB is a new dimension of human information behavior among LIS professionals. The findings are beneficial for LIS professionals to increase their work productivity and performance by rationalizing the significant predictors. To the best of the authors’ knowledge, no such study is available that highlighted the MIB among LIS professionals. Therefore, this study will highlight external factors’ effects on LIS professionals’ MIB. This study will contribute to the literature on libraries and information management as this study describes the LIS professionals’ behavior.
Citation: Information Discovery and Delivery
PubDate: 2023-01-11
DOI: 10.1108/IDD-03-2021-0026
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Modeling users’ and practitioners’ intention for continued usage of
the Internet of Medical Devices (IoMD): an empirical investigation-
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Authors: Manpreet Singh, Urvashi Tandon, Amit Mittal
Abstract: The purpose of this paper is to identify the antecedents of continued usage intentions in the connected devices ecosystem in health care by analyzing the users' and physicians' expectations in a new ecosystem where one prefers to connect digitally rather than physically. This is a unique study in which data was collected from 242 doctors and 215 end-users to gauge the expectations from the connected devices in health care. Further, these responses were hypothesised using UTAUT-2 and ECT theories to analyze general users’ and professional users’ or doctors’ expectations for continued usage in connected devices ecosystem in the health-care ecosystem. Performance expectancy, social influence, facilitating conditions and price value emerged as significant predictors of satisfaction in both user groups. But habit and hedonic motivation reflected an insignificant impact on user satisfaction. Surprisingly, effort expectancy emerged as a significant factor for end-user satisfaction, and this became insignificant for professional user satisfaction. Satisfaction was positively related to continued usage for both user groups, and app quality has a positive impact on all the predictors. To the best of the authors’ knowledge, this is the first comparative study to understand the factors which influence consumer behavior leading to a holistic model and can be imbibed for creating a better customer experience in an era where we are more comfortable connecting digitally rather than physically. This study has used the Unified Theory of Acceptance and Use of Technology-2 model and expectation confirmation theory to analyze the key factors influencing the intentions for continued usage of devices in the Internet of Medical Devices setup.
Citation: Information Discovery and Delivery
PubDate: 2023-01-10
DOI: 10.1108/IDD-02-2022-0016
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- Identifying computational thinking in students through project-based
problem-solving activities-
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Authors: Dazhi Yang, Chareen Snelson, Shi Feng
Abstract: This paper aims to identify computational thinking (CT) in 4th to 6th grade students in the context of project-based problem-solving while engaged in an after-school program. This case study approach was selected due to its suitability for answering “how” or “why” questions about real-world phenomena within a set context (Creswell and Poth, 2018; Yin, 2018). This was an appropriate fit given the context of an after-school program and the research question asked how to identify learners’ demonstrated CT through project-based learning hands-on activities and problem-solving in a naturalistic environment. Results show that heuristics, algorithms and conditional logic were observed more than other components of CT such as data collection, simulations and modeling. Descriptions of common activities in a naturalistic learning environment are presented to illustrate how the students practiced CT over time, which could help readers develop an understanding of CT in conjunction with hands-on problem-solving activities in elementary students. Identifying and classifying CT in this study focused on students’ learning process. This study contributes to the challenging field of evaluating CT while focusing on observable behaviors and problem-solving activities with various degrees of teacher’s facilitation instead of final artifacts. Implications for researchers and educators interested in integrating CT in K-12 learning and its assessment are discussed.
Citation: Information Discovery and Delivery
PubDate: 2023-01-04
DOI: 10.1108/IDD-09-2022-0091
Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
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- A critical review of HR analytics: visualization and bibliometric analysis
approach-
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Authors: Meenal Arora, Anshika Prakash, Saurav Dixit, Amit Mittal, Swati Singh
Abstract: This study aims to analyze the existing literature in human resource analytics and highlights the future research agenda and trends in the same context. It deals with evaluating regional distribution, identifying key authors, publications, journals and keyword occurrences while examining current literature. A total of 127 articles exported from the Scopus database were systematically analyzed using bibliometric analysis through VOSviewer, including performance analysis and science mapping of the literature studied. This research postulates the inconsistency between the number of publications and citations received by an author. There was an increase in collaborative research over the years. Human Resource Management Review was regarded as the most influential journal with maximum citation. Maximum publications came from Asian countries. The study revealed that the author with maximum citation were mostly the first authors of the most cited documents. This research may be beneficial for both researchers and human resource (HR) practitioners because it identifies the research gaps and research needs in the HR analytics domain. Besides, this study recognizes the patterns in HR analytics literature that helps researchers better understand the subject area. This research incorporates bibliometric analysis for analyzing HR analytics literature to establish a more exhaustive and systematic understanding of the research area. This research contributes to the existing body of literature and assists fellow researchers in future studies.
Citation: Information Discovery and Delivery
PubDate: 2022-12-22
DOI: 10.1108/IDD-05-2022-0038
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Super-resolution with generative adversarial networks for improved object
detection in aerial images-
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Authors: Aslan Ahmet Haykir, Ilkay Oksuz
Abstract: Data quality and data resolution are essential for computer vision tasks like medical image processing, object detection, pattern recognition and so on. Super-resolution is a way to increase the image resolution, and super-resolved images contain more information compared to their low-resolution counterparts. The purpose of this study is analyzing the effects of the super resolution models trained before on object detection for aerial images. Two different models were trained using the Super-Resolution Generative Adversarial Network (SRGAN) architecture on two aerial image data sets, the xView and the Dataset for Object deTection in Aerial images (DOTA). This study uses these models to increase the resolution of aerial images for improving object detection performance. This study analyzes the effects of the model with the best perceptual index (PI) and the model with the best RMSE on object detection in detail. Super-resolution increases the object detection quality as expected. But, the super-resolution model with better perceptual quality achieves lower mean average precision results compared to the model with better RMSE. It means that the model with a better PI is more meaningful to human perception but less meaningful to computer vision. The contributions of the authors to the literature are threefold. First, they do a wide analysis of SRGAN results for aerial image super-resolution on the task of object detection. Second, they compare super-resolution models with best PI and best RMSE to showcase the differences on object detection performance as a downstream task first time in the literature. Finally, they use a transfer learning approach for super-resolution to improve the performance of object detection.
Citation: Information Discovery and Delivery
PubDate: 2022-11-21
DOI: 10.1108/IDD-05-2022-0048
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Emotion analysis of user reactions to online news
Open Access Article-
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Authors: Marina Bagić Babac
Abstract: Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour. More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis. The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour. This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.
Citation: Information Discovery and Delivery
PubDate: 2022-11-14
DOI: 10.1108/IDD-04-2022-0027
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Attainment of sustainable food security in Nigeria: the role of libraries
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Authors: Clement Ola Adekoya, Isioma Alexis Ureki, Adesola Victoria Alade
Abstract: The quest for sustainable food security (SFS) is fundamental to United Nations Sustainable Development Goals. In furtherance of their pivotal role in providing the required information resources in support of education and research, libraries are expected to assist the economy in ensuring SFS. The purpose of this study is to investigate how libraries provide information to support research in agriculture towards the attainment of SFS in Nigeria. Descriptive research design was used for the study. Interview and questionnaire were used as the instruments of data collection. This study found that the extent of use of library information resources for SFS in Nigeria is high. Libraries, though facing some challenges, contribute significantly to the attainment of food security in Nigeria. It was recommended that libraries should intensify efforts to embark on media literacy programmes and provide information resources for research on agriculture and food production with a view to actualising food security goals specified in Sustainable Development Goals. Libraries should be well-funded to acquire the relevant information resources to aid research into food security and end hunger and poverty across the world. This study suggests having better sponsored libraries that can perform as required in advancing agricultural information needs. This study is a creative attempt to know how libraries can contribute to SFS through the provision of information to farmers and lecturers in agriculture.
Citation: Information Discovery and Delivery
PubDate: 2022-11-04
DOI: 10.1108/IDD-02-2022-0015
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- A clustering approach for data quality results of research information
systems-
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Authors: Reza Edris Abadi, Mohammad Javad Ershadi, Seyed Taghi Akhavan Niaki
Abstract: The overall goal of the data mining process is to extract information from an extensive data set and make it understandable for further use. When working with large volumes of unstructured data in research information systems, it is necessary to divide the information into logical groupings after examining their quality before attempting to analyze it. On the other hand, data quality results are valuable resources for defining quality excellence programs of any information system. Hence, the purpose of this study is to discover and extract knowledge to evaluate and improve data quality in research information systems. Clustering in data analysis and exploiting the outputs allows practitioners to gain an in-depth and extensive look at their information to form some logical structures based on what they have found. In this study, data extracted from an information system are used in the first stage. Then, the data quality results are classified into an organized structure based on data quality dimension standards. Next, clustering algorithms (K-Means), density-based clustering (density-based spatial clustering of applications with noise [DBSCAN]) and hierarchical clustering (balanced iterative reducing and clustering using hierarchies [BIRCH]) are applied to compare and find the most appropriate clustering algorithms in the research information system. This paper showed that quality control results of an information system could be categorized through well-known data quality dimensions, including precision, accuracy, completeness, consistency, reputation and timeliness. Furthermore, among different well-known clustering approaches, the BIRCH algorithm of hierarchical clustering methods performs better in data clustering and gives the highest silhouette coefficient value. Next in line is the DBSCAN method, which performs better than the K-Means method. In the data quality assessment process, the discrepancies identified and the lack of proper classification for inconsistent data have led to unstructured reports, making the statistical analysis of qualitative metadata problems difficult and thus impossible to root out the observed errors. Therefore, in this study, the evaluation results of data quality have been categorized into various data quality dimensions, based on which multiple analyses have been performed in the form of data mining methods. Although several pieces of research have been conducted to assess data quality results of research information systems, knowledge extraction from obtained data quality scores is a crucial work that has rarely been studied in the literature. Besides, clustering in data quality analysis and exploiting the outputs allows practitioners to gain an in-depth and extensive look at their information to form some logical structures based on what they have found.
Citation: Information Discovery and Delivery
PubDate: 2022-11-03
DOI: 10.1108/IDD-07-2022-0063
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- The composition of data economy: a bibliometric approach and TCCM
framework of conceptual, intellectual and social structure-
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Authors: Sunday Adewale Olaleye, Emmanuel Mogaji, Friday Joseph Agbo, Dandison Ukpabi, Akwasi Gyamerah
Abstract: The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature. The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus. This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future. Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field. The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies. This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future.
Citation: Information Discovery and Delivery
PubDate: 2022-10-31
DOI: 10.1108/IDD-02-2022-0014
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Research data services in libraries: a systematic literature review
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Authors: Muhammad Safdar, Shafiq Ur Rehman, Muhammad Arif, Murtaza Ashiq
Abstract: The purpose of this paper was to systematically collect and review all studies which have been conducted on research data services in libraries across the globe. Six world-renowned scholarly databases were searched and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used for the identification and selection of eligible studies. The studies were then assessed using a well-renowned framework for the quality assessment of research studies. The results revealed that the libraries were engaged in providing different types of research data services such as identification, acquisition, management and preservation of research data. They also arranged training programs, supported the publishing and sharing of data and dealt with the licensing and copyright issues related to data. The results of this study would be helpful for researchers and organizations, especially those engaged in educational activities, in understanding the current scenario of research data services in the world libraries. Furthermore, the findings offer valuable insights to library professionals regarding the types of research support services available globally. This would enable them to play an integral role in planning, designing and implementing such services in their libraries. To the best of the authors’ knowledge, this study is the first of its kind that systematically collects and reviews the literature on research data services in libraries worldwide.
Citation: Information Discovery and Delivery
PubDate: 2022-10-31
DOI: 10.1108/IDD-04-2021-0044
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Google SEO score and accessibility rank on the American University
Libraries’ websites: one comparative analysis-
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Authors: Maryam Tavosi, Nader Naghshineh
Abstract: This study aims to present a comparative study of university library websites (in the USA) from the standpoint of “Google SEO” and “Accessibility”. Furthermore, correlation analysis between these two done. By opting for a webometric approach, the present study analyzed university library websites in the USA. The Lighthouse add-on for the Google Chrome browser has been used as a data collection tool, by writing and implementing a computer program in Bash language automatically (May 2020). Data analysis tools used were “Libre-Office-Calc”, “SPSS22” and “Excel”. In all 81 university library websites in the USA, Google search engine optimization (SEO) scores have been observed the amount higher than 60 (Total Score = 100). The accessibility rank obtained lay between 0.56 and 1 (Total Score = 1). A weak correlation relationship between “SEO score” and “accessibility rank” (P-value = 0.02, Spearman Correlation Coefficient = 0.345) was observed. This weak relationship can be explained due to the impact of several components affecting Google’s SEO score, one of them being having a high “accessibility rank”. Given the increasing automation of library processes, SEO tools can help libraries in achieving their digital marketing goals. Accurate measurement of the Google SEO score and accessibility rank for the university library websites (in the USA) were obtained by Lighthouse add-on for Google Chrome browser. Moreover, data extraction by the implementation of one program computer without the direct observation of human resources is the innovation of this study.
Citation: Information Discovery and Delivery
PubDate: 2022-10-27
DOI: 10.1108/IDD-08-2021-0088
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Mapping research output on library and information science research domain
in South Africa: a bibliometric visualisation-
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Authors: Javaid Ahmad Wani, Shabir Ahmad Ganaie, Ikhlaq Ur Rehman
Abstract: The purpose of this study is to examine the research output on “library and information science” (LIS) research domain in South Africa. It also highlights the top LIS research organisations, authors, journals, collaboration types and commonly used keywords. This research will aid in the identification of emerging concepts, trends and advances in this subject. The Web of Science (WoS), an indexing and abstracting database, served as a tool for bibliographical data. By applying advanced search features, the authors curated data from 1989 to 2021 through the WoS subject category WC = (Information Science & Library Science), limiting the scope to the region, CU = (South Africa), which resulted in 1,034 articles. Moreover, the research focuses on science mapping using the R package for reliable analysis. The findings reveal that the publications have considerably grown over time, indicating significant attention among researchers in LIS. The findings indicate the critical operator’s performance, existing thematic choices and subsequent research opportunities. The primary topical fields of study that emerged from the bibliometric analysis are impact, information, science, model, management, technology, knowledge and education. Pouris and Fourie are the most productive citations, h-index and g-index. The influential institute was The University of Pretoria. The use of the WoS database for data collecting limits this study. Because the WoS was the only citation and abstract database used in this study, bibliometric investigations using other citation and abstract databases like “Scopus”, “Google Scholar” and “Dimension” could be interesting. This study presented a bibliometric summary; nevertheless, a systematic and methodical examination of highly cited LIS research publications could throw more light on the subject. This paper gives valuable information about recent scientific advancements in the LIS and emerging future academic subject prospects. Furthermore, this research work will serve as a reference for researchers in various areas to analyse the evolution of scholarly literature on a particular topic over time. By identifying the standard channels of study in the LIS discipline, and the essential journals, publications, nations, institutions, authors, data sources and networks in this subject, this bibliometric mapping and visualisation provide new perspectives into academic performance. This paper also articulates future research directions in this realm of knowledge. This study is more rigorous and comprehensive in terms of the analytical procedures it uses.
Citation: Information Discovery and Delivery
PubDate: 2022-10-20
DOI: 10.1108/IDD-10-2021-0115
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Relationship of business students’ information-seeking anxiety with
socio-academic variables in the digital environment-
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Authors: Sana Khan, Muhammad Asif Naveed, Mumtaz Ali Anwar
Abstract: This paper aims to investigate the relationship of information-seeking anxiety (ISA) with socio-academic variables of business students in the digital environment. A cross-sectional survey using a questionnaire was conducted. The questionnaire, composed of 47 items of Information Seeking Anxiety Scale along with certain socio-academic variables, was administered personally among business students by visiting their classrooms at the Lahore School of Economics, Pakistan. The received 283 responses were analyzed by applying descriptive and inferential statistics such as mean, standard deviation, t-test and one-way analysis of variance. The results revealed that a large majority of business students were less comfortable in information seeking and experienced anxiety from mild to moderate levels. There were only a few respondents who faced either low or severe levels of ISA. In relationship testing, the students’ socio-academic variables such as program type, gender, school background, geographical background, information communication technology skills and English language competence did not appear to be the predictors of their ISA. The results of this study should carefully be used while making generalizations for all the business students in Pakistan and abroad as this research collected data from the business students of a single university in Pakistan. These results have greater implications for the future directions of information literacy as creating awareness and building capacity for skills about the information search process will help in reducing ISA. These findings provided a pragmatic insight that can be used as a guide by information professionals, especially those engaged in information services, to develop a need-based curriculum of information literacy which would ultimately help in the alleviation of anxiety and combating its effects on students’ academic performance. This study address specifically ISA of business students that would make a worthy contribution to the existing research on ISA as, to the best of the authors’ knowledge, no such study has appeared so far.
Citation: Information Discovery and Delivery
PubDate: 2022-10-14
DOI: 10.1108/IDD-03-2022-0024
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Academic libraries and research data management: a case study of Dataverse
global adoption-
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Authors: Hsin-liang Chen, Tzu-Heng Chiu, Ellen Cline
Abstract: The purpose of this study is to examine the development of Dataverse, a global research data management consortium. The authors examine specifically the institutional characteristics, the utilization of the associated data sets and the relevant research data management services at its participating university libraries. This evidence-based approach is essential for understanding the current state of research data management practices in the global context. The data was collected from 67 participants’ data portals between December 1, 2020, and January 31, 2021. Over 80% of its current participants joined the group in the past five years, 2016–2020. Thirty-three Dataverse portals have had less than 10,000 total downloads since their inception. Twenty-nine participating universities are included in three major global university ranking systems, and 18 of those university libraries offer research data services. This project is an explorative study on Dataverse, an international research data management consortium. The findings contribute to the understanding of the current development of the Dataverse project as well as the practices at the participating institutions. Moreover, they offer insights to other global higher education institutions and research organizations regarding research data management. While this study is practical, its findings and observations could be of use to future researchers interested in developing a framework for data work in academic libraries.
Citation: Information Discovery and Delivery
PubDate: 2022-10-14
DOI: 10.1108/IDD-04-2022-0028
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Factors that determine open data readiness among scholars: experience from
selected universities in Tanzania-
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Authors: Obadia Shadrack Buhomoli, Paul Samwel Muneja
Abstract: This study aims to investigate the factors determining the readiness for uptake of open data (OD) in Tanzania. Specifically, this study intended to answer the question that sought to find out the factors that influence the implementation of OD in universities under study in a view to aligning with recommended strategies for optimizing the use of data in the open science era. This study used a cross-sectional survey design whereby data were collected using quantitative and qualitative research approaches. A sample size of 212 respondents was drawn from the sampling frame of a population of 1,846 researchers from the participating universities using both probability and nonprobability sampling techniques. A self-administered questionnaire was used to collect data from researchers while interviews were administered to decision-makers. These two groups were believed to have the necessary knowledge for this study. The findings indicate low or lack of skills and awareness on issues related to OD among researchers and decision-makers. This study also reveals inadequate infrastructure to support open science initiatives including OD. Moreover, this study shows a lack of supportive institutional strategies and policies that trigger the implementation of OD initiatives in Tanzania. This study recommends that universities should uplift the level of confidence of researchers by ensuring all necessary factors determining the uptake of OD are in place before and during the implementation of OD initiatives. This study was conducted during the time when researchers in universities are in an infant stage of adopting the concept from the developed world. In this regard, it is important to carry out a tracer study on establishing the OD phenomena after a number of universities have implemented OD initiatives in the country. The researchers recommend the establishment of institutional policy and strategies to guide the implementation of OD among universities in Tanzania. Including awareness creation awareness through providing training among researchers and academics in universities. The results shed light to decision-makers on the understanding of the role of sharing research data in enhancing openness and validation of findings to increase the authenticity of results among researchers. The authors have revealed the factors affecting the implementation of OD among scholars in universities. This study reveals the level of acceptance of OD initiatives and the factors that could trigger adoption of OD. This paper presents factors that determine the readiness for the uptake of OD in universities in Tanzania from the researcher’s perspective. This study was conducted to fill the knowledge gap that sought to establish understanding of researchers about OD. The gap was established through literature and it was found that none of the presented studies researched on this phenomenon in Tanzania.
Citation: Information Discovery and Delivery
PubDate: 2022-09-19
DOI: 10.1108/IDD-10-2021-0111
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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- Determinants of article processing charges for hybrid and gold open access
journals-
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Authors: Sumiko Asai
Abstract: While the number of hybrid journals has increased with the conversion from subscription journals, article processing charges (APCs) have not been examined as frequently as gold open access journals. This study compared the factors affecting APCs for hybrid and gold open access journals by formulating a charge equation. This study examined the APCs for 1,354 hybrid and gold open access journals in the Springer imprint. Using the ordinary least squares method, it investigated the determinants of charges, including the relationship between subscription prices and APCs for hybrid journals. The results revealed that the charges set by hybrid journals were higher than those set by gold open access journals by US$1,620, after controlling for other variables. A reason could be the oligopolistic market structure of the leading publishers. Although the publisher imprint set the APCs based on the journal characteristics, the difference in the determinants of the charges between the two journal types may be due to the business models specific to the journal types. The findings suggested that policymakers must consider the market power of leading publishers to establish a healthy scholarly communication market. This study examined the relationship between subscription prices and charges for hybrid journals as well as the determinants of charges for both journal types, considering various characteristics of individual journals.
Citation: Information Discovery and Delivery
PubDate: 2022-08-23
DOI: 10.1108/IDD-09-2021-0098
Issue No: Vol. ahead-of-print, No. ahead-of-print (2022)
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