Pub Date : 2023-03-07DOI: 10.1108/idd-05-2022-0035
Dhrubajyoti Borgohain, M. Yuvaraj, M. Verma
Purpose 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. Design/methodology/approach 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%. Findings 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. Research limitations/implications 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. Originality/value 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.
{"title":"Analysing the relationship between altmetric attention score (AAS) and citation: a correlational study","authors":"Dhrubajyoti Borgohain, M. Yuvaraj, M. Verma","doi":"10.1108/idd-05-2022-0035","DOIUrl":"https://doi.org/10.1108/idd-05-2022-0035","url":null,"abstract":"\u0000Purpose\u0000The 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.\u0000\u0000\u0000Design/methodology/approach\u0000This 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%.\u0000\u0000\u0000Findings\u0000Using 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.\u0000\u0000\u0000Research limitations/implications\u0000A 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.\u0000\u0000\u0000Originality/value\u0000The 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47747841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-07DOI: 10.1108/idd-11-2021-0128
Yasir Jamal, Tahir Islam, Abdul Ghaffar, Altaf Ahmed Sheikh
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value This study extends the psychological reactance and self-congruence theories to online shopping. Previously, literature has extensively studied the social commerce intention.
{"title":"Factors driving consumer attitude to online shopping hate","authors":"Yasir Jamal, Tahir Islam, Abdul Ghaffar, Altaf Ahmed Sheikh","doi":"10.1108/idd-11-2021-0128","DOIUrl":"https://doi.org/10.1108/idd-11-2021-0128","url":null,"abstract":"\u0000Purpose\u0000The 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.\u0000\u0000\u0000Design/methodology/approach\u0000The 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000This study extends the psychological reactance and self-congruence theories to online shopping. Previously, literature has extensively studied the social commerce intention.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42331604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-28DOI: 10.1108/idd-08-2022-0081
M. Iqbal, Muhammad Kabir Khan, Arslan Sheikh
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value This study persuades library and information science professionals to automate their libraries through the adoption of library software.
{"title":"Use of software for automation of academic libraries in Sialkot","authors":"M. Iqbal, Muhammad Kabir Khan, Arslan Sheikh","doi":"10.1108/idd-08-2022-0081","DOIUrl":"https://doi.org/10.1108/idd-08-2022-0081","url":null,"abstract":"Purpose\u0000The 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.\u0000\u0000\u0000Design/methodology/approach\u0000A 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000This study persuades library and information science professionals to automate their libraries through the adoption of library software.","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48098371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-27DOI: 10.1108/idd-04-2022-0031
S. Kisanjara
Purpose 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. Design/methodology/approach 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. Findings 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. Practical implications 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 Originality/value 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.
{"title":"Internet of Things and organizational performance in the Tanzanian banks","authors":"S. Kisanjara","doi":"10.1108/idd-04-2022-0031","DOIUrl":"https://doi.org/10.1108/idd-04-2022-0031","url":null,"abstract":"\u0000Purpose\u0000The 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.\u0000\u0000\u0000Design/methodology/approach\u0000For 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Practical implications\u0000The 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\u0000\u0000\u0000Originality/value\u0000As 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44378395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-27DOI: 10.1108/idd-06-2021-0065
Adesola Victoria Alade, Alexis Isioma Ureki, Clement Ola Adekoya
Purpose 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. Design/methodology/approach 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. Findings 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. Practical implications 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. Social implications 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. Originality/value 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.
{"title":"Reflection on possible role of academic libraries in facilitating post-COVID-19 food security","authors":"Adesola Victoria Alade, Alexis Isioma Ureki, Clement Ola Adekoya","doi":"10.1108/idd-06-2021-0065","DOIUrl":"https://doi.org/10.1108/idd-06-2021-0065","url":null,"abstract":"\u0000Purpose\u0000Year 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.\u0000\u0000\u0000Design/methodology/approach\u0000Descriptive 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.\u0000\u0000\u0000Findings\u0000It 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.\u0000\u0000\u0000Practical implications\u0000In 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.\u0000\u0000\u0000Social implications\u0000Failure 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.\u0000\u0000\u0000Originality/value\u0000Ensuring 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47326040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-16DOI: 10.1108/idd-10-2021-0114
P. Kankam
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"Information literacy development and competencies of high school students in Accra","authors":"P. Kankam","doi":"10.1108/idd-10-2021-0114","DOIUrl":"https://doi.org/10.1108/idd-10-2021-0114","url":null,"abstract":"\u0000Purpose\u0000Information 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.\u0000\u0000\u0000Design/methodology/approach\u0000To 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.\u0000\u0000\u0000Findings\u0000This 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.\u0000\u0000\u0000Originality/value\u0000The 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42213527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-08DOI: 10.1108/idd-06-2022-0060
Edoardo Ramalli, B. Pernici
Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"Knowledge graph embedding for experimental uncertainty estimation","authors":"Edoardo Ramalli, B. Pernici","doi":"10.1108/idd-06-2022-0060","DOIUrl":"https://doi.org/10.1108/idd-06-2022-0060","url":null,"abstract":"\u0000Purpose\u0000Experiments 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.\u0000\u0000\u0000Design/methodology/approach\u0000This 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000The 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46025773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-03DOI: 10.1108/idd-06-2022-0054
Huyen Nguyen, Haihua Chen, Jiangping Chen, Kate Kargozari, Junhua Ding
Purpose This study aims to evaluate a method of building a biomedical knowledge graph (KG). Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"Construction and evaluation of a domain-specific knowledge graph for knowledge discovery","authors":"Huyen Nguyen, Haihua Chen, Jiangping Chen, Kate Kargozari, Junhua Ding","doi":"10.1108/idd-06-2022-0054","DOIUrl":"https://doi.org/10.1108/idd-06-2022-0054","url":null,"abstract":"\u0000Purpose\u0000This study aims to evaluate a method of building a biomedical knowledge graph (KG).\u0000\u0000\u0000Design/methodology/approach\u0000This 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.\u0000\u0000\u0000Findings\u0000With 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.\u0000\u0000\u0000Originality/value\u0000The 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47999259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-12DOI: 10.1108/idd-05-2022-0037
William A. Ellegood, Jason M. Riley
Purpose This study aims to understand how informational factors influence online purchase intention when considering secondhand books. Design/methodology/approach 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. Findings 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. Originality/value 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.
{"title":"How informational factors affect consumers when purchasing secondhand books online","authors":"William A. Ellegood, Jason M. Riley","doi":"10.1108/idd-05-2022-0037","DOIUrl":"https://doi.org/10.1108/idd-05-2022-0037","url":null,"abstract":"\u0000Purpose\u0000This study aims to understand how informational factors influence online purchase intention when considering secondhand books.\u0000\u0000\u0000Design/methodology/approach\u0000A 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.\u0000\u0000\u0000Findings\u0000The 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.\u0000\u0000\u0000Originality/value\u0000This 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44217774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-11DOI: 10.1108/idd-03-2021-0026
N. Butt, N. Warraich
Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Originality/value 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.
{"title":"Examining the predictors of multitasking information behavior among library and information science professionals in Pakistan","authors":"N. Butt, N. Warraich","doi":"10.1108/idd-03-2021-0026","DOIUrl":"https://doi.org/10.1108/idd-03-2021-0026","url":null,"abstract":"\u0000Purpose\u0000The 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.\u0000\u0000\u0000Design/methodology/approach\u0000This 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.\u0000\u0000\u0000Findings\u0000Pearson 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.\u0000\u0000\u0000Research limitations/implications\u0000This 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.\u0000\u0000\u0000Originality/value\u0000To 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.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43303870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}