Pub Date : 2023-11-03DOI: 10.1108/idd-03-2022-0020
Salam Abdallah, Ashraf Khalil
Purpose This study aims to understand and a lay a foundation of how analytics has been used in depression management, this study conducts a systematic literature review using two techniques – text mining and manual review. The proposed methodology would aid researchers in identifying key concepts and research gaps, which in turn, will help them to establish the theoretical background supporting their empirical research objective. Design/methodology/approach This paper explores a hybrid methodology for literature review (HMLR), using text mining prior to systematic manual review. Findings The proposed rapid methodology is an effective tool to automate and speed up the process required to identify key and emerging concepts and research gaps in any specific research domain while conducting a systematic literature review. It assists in populating a research knowledge graph that does not reach all semantic depths of the examined domain yet provides some science-specific structure. Originality/value This study presents a new methodology for conducting a literature review for empirical research articles. This study has explored an “HMLR” that combines text mining and manual systematic literature review. Depending on the purpose of the research, these two techniques can be used in tandem to undertake a comprehensive literature review, by combining pieces of complex textual data together and revealing areas where research might be lacking.
{"title":"Using a hybrid methodology for literature review: a case study in depression research","authors":"Salam Abdallah, Ashraf Khalil","doi":"10.1108/idd-03-2022-0020","DOIUrl":"https://doi.org/10.1108/idd-03-2022-0020","url":null,"abstract":"Purpose This study aims to understand and a lay a foundation of how analytics has been used in depression management, this study conducts a systematic literature review using two techniques – text mining and manual review. The proposed methodology would aid researchers in identifying key concepts and research gaps, which in turn, will help them to establish the theoretical background supporting their empirical research objective. Design/methodology/approach This paper explores a hybrid methodology for literature review (HMLR), using text mining prior to systematic manual review. Findings The proposed rapid methodology is an effective tool to automate and speed up the process required to identify key and emerging concepts and research gaps in any specific research domain while conducting a systematic literature review. It assists in populating a research knowledge graph that does not reach all semantic depths of the examined domain yet provides some science-specific structure. Originality/value This study presents a new methodology for conducting a literature review for empirical research articles. This study has explored an “HMLR” that combines text mining and manual systematic literature review. Depending on the purpose of the research, these two techniques can be used in tandem to undertake a comprehensive literature review, by combining pieces of complex textual data together and revealing areas where research might be lacking.","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135776410","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 : 2023-11-02DOI: 10.1108/idd-01-2023-0005
Kim Hoe Looi
Purpose This study aims to investigate the contextual challenges of emergency Web-enabled teaching from instructors’ point of view and their future preference for online education. Design/methodology/approach A total of 165 instructors from various public and private universities and university colleges in Malaysia participated in this online survey. Data were analyzed using multiple regression. Findings The significant challenges for future preference for online education in terms of their relative importance were supporting learners, effectiveness, disadvantages and advantages of emergency Web-enabled teaching. Originality/value This study discusses theoretical, practical and public policy implications for the future of teaching in higher education due to the COVID-19 public health emergency.
{"title":"Ameliorating emergency Web-enabled teaching in higher education institutions and implications for future emergencies","authors":"Kim Hoe Looi","doi":"10.1108/idd-01-2023-0005","DOIUrl":"https://doi.org/10.1108/idd-01-2023-0005","url":null,"abstract":"Purpose This study aims to investigate the contextual challenges of emergency Web-enabled teaching from instructors’ point of view and their future preference for online education. Design/methodology/approach A total of 165 instructors from various public and private universities and university colleges in Malaysia participated in this online survey. Data were analyzed using multiple regression. Findings The significant challenges for future preference for online education in terms of their relative importance were supporting learners, effectiveness, disadvantages and advantages of emergency Web-enabled teaching. Originality/value This study discusses theoretical, practical and public policy implications for the future of teaching in higher education due to the COVID-19 public health emergency.","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135875329","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 : 2023-08-30DOI: 10.1108/idd-01-2022-0002
Clement Ola Adekoya, J. Fasae, Adesola Victoria Alade
Purpose Education is a strong pillar to national development. It is vital to ensure sustainable higher education development (SHED) in a bid to facilitate global development. This study aims to investigate academic libraries, information and communication technology (ICT) use and SHED. Design/methodology/approach Descriptive survey research design was used for this study. The population of the study was 607 librarians in the 41 public university libraries in Southern Nigeria. Total enumeration and purposive sampling techniques were used for this study. The instrument of data collection was questionnaire. Descriptive statistics was used for the data analysis. Findings It was found that qualified teachers and promotion of scholarship constitute SHED. The extent of contribution of academic libraries to SHED is high. Academic libraries face a number of challenges in their effort to provide information services for the actualisation of the SHED. The extent of use of ICT in SHED is high. It was therefore recommended that academic libraries and ICT should be adequately used to accomplish SHED in Nigeria. Research limitations/implications This study will contribute to the body of literature on how academic libraries and the use of ICT can contribute to SHED. Practical implications While SHED is central to global development, the role of academic libraries and the use of ICT should be unanimously embraced by all the stakeholders in education industry. Originality/value SHED is inevitable in the contemporary era. This study reveals that academic libraries and ICT use are vital in achieving SHED.
{"title":"Academic libraries, ICT use and sustainable higher education development","authors":"Clement Ola Adekoya, J. Fasae, Adesola Victoria Alade","doi":"10.1108/idd-01-2022-0002","DOIUrl":"https://doi.org/10.1108/idd-01-2022-0002","url":null,"abstract":"\u0000Purpose\u0000Education is a strong pillar to national development. It is vital to ensure sustainable higher education development (SHED) in a bid to facilitate global development. This study aims to investigate academic libraries, information and communication technology (ICT) use and SHED.\u0000\u0000\u0000Design/methodology/approach\u0000Descriptive survey research design was used for this study. The population of the study was 607 librarians in the 41 public university libraries in Southern Nigeria. Total enumeration and purposive sampling techniques were used for this study. The instrument of data collection was questionnaire. Descriptive statistics was used for the data analysis.\u0000\u0000\u0000Findings\u0000It was found that qualified teachers and promotion of scholarship constitute SHED. The extent of contribution of academic libraries to SHED is high. Academic libraries face a number of challenges in their effort to provide information services for the actualisation of the SHED. The extent of use of ICT in SHED is high. It was therefore recommended that academic libraries and ICT should be adequately used to accomplish SHED in Nigeria.\u0000\u0000\u0000Research limitations/implications\u0000This study will contribute to the body of literature on how academic libraries and the use of ICT can contribute to SHED.\u0000\u0000\u0000Practical implications\u0000While SHED is central to global development, the role of academic libraries and the use of ICT should be unanimously embraced by all the stakeholders in education industry.\u0000\u0000\u0000Originality/value\u0000SHED is inevitable in the contemporary era. This study reveals that academic libraries and ICT use are vital in achieving SHED.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44348730","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 : 2023-08-29DOI: 10.1108/idd-11-2022-0117
Rumeysa Çölden Akgül, Güleda Doğan
Purpose This study aims to evaluate the current situation of the interlibrary loan in Türkiye using interlibrary loan tracking system raw data (2008–2019). Data was analyzed geographically to reveal the effect of geographical distance on the collaboration and thematically to identify the prominent areas/topics in the requests. In addition, the requests were evaluated in terms of the type and age of the university, the size of the collection and the number of library users. Design/methodology/approach The effect of geographical distance on the collaboration was revealed using VOSviewer. The place numbers and titles of the requests were used for thematic analysis, which was performed using Flourish and VOSviewer. Statistical tests were conducted with SPSS to investigate the effects of factors such as university age and type. Findings Geographic analysis revealed that the prominent regions are Marmara, Central Anatolia and Aegean Regions, respectively. The fact that these regions host Türkiye’s largest cities with the highest number of universities has been effective in achieving this result. The results of the thematic analysis are in accordance with the literature. Almost half of the requests are from Social Sciences, Language and Literature, History and Law. While the effects of collection size and the number of library users have relatively insignificant effects on requests, age and university type were found to be more relevant. Originality/value Interlibrary loan data of this size has not been the subject of an evaluation before in Türkiye. Hence, the results obtained have the potential to influence relevant policies and decisions on the subject. On the other hand, to the best of the authors’ knowledge, bibliographic mapping was used for the first time on interlibrary loan data.
{"title":"Interlibrary loan in Türkiye: interlibrary loan tracking system (KITS)","authors":"Rumeysa Çölden Akgül, Güleda Doğan","doi":"10.1108/idd-11-2022-0117","DOIUrl":"https://doi.org/10.1108/idd-11-2022-0117","url":null,"abstract":"\u0000Purpose\u0000This study aims to evaluate the current situation of the interlibrary loan in Türkiye using interlibrary loan tracking system raw data (2008–2019). Data was analyzed geographically to reveal the effect of geographical distance on the collaboration and thematically to identify the prominent areas/topics in the requests. In addition, the requests were evaluated in terms of the type and age of the university, the size of the collection and the number of library users.\u0000\u0000\u0000Design/methodology/approach\u0000The effect of geographical distance on the collaboration was revealed using VOSviewer. The place numbers and titles of the requests were used for thematic analysis, which was performed using Flourish and VOSviewer. Statistical tests were conducted with SPSS to investigate the effects of factors such as university age and type.\u0000\u0000\u0000Findings\u0000Geographic analysis revealed that the prominent regions are Marmara, Central Anatolia and Aegean Regions, respectively. The fact that these regions host Türkiye’s largest cities with the highest number of universities has been effective in achieving this result. The results of the thematic analysis are in accordance with the literature. Almost half of the requests are from Social Sciences, Language and Literature, History and Law. While the effects of collection size and the number of library users have relatively insignificant effects on requests, age and university type were found to be more relevant.\u0000\u0000\u0000Originality/value\u0000Interlibrary loan data of this size has not been the subject of an evaluation before in Türkiye. Hence, the results obtained have the potential to influence relevant policies and decisions on the subject. On the other hand, to the best of the authors’ knowledge, bibliographic mapping was used for the first time on interlibrary loan data.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46145587","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 : 2023-08-22DOI: 10.1108/idd-07-2022-0071
I. Bhat, Shilpi Gupta, Ghulam Mohammad Bhat
Purpose The purpose of this study is to examine the specific social media behaviours (SMB) that lead to major depressive disorder (MDD). The study also looks at the moderation effect of pandemic on social media usage among users. Design/methodology/approach Using a descriptive approach, the required data was collected from a sample of 629 social media users chosen through random sampling technique. An adopted structured online questionnaire was used to collect the data. The data collected was analysed by using univariate and multinomial regression techniques. Findings The findings of the study revealed that social media intensity, social media addiction (SMA), social media participation, social interaction and SMB had a positive impact on MDD, whereas social comparison had a negative impact. The pandemic situation has also been found to moderate the effect of social media usage on MDD. Social implications This study will be supportive in disclosing behaviours and activities of students that impact their mental health adversely. This will also be helpful in dealing with specific stressors in the programs designed to cope with the depression. By adopting effective strategies to manage social media usage, the study would help to reduce the level of depressive symptoms among college students, significantly promoting healthy environments for students and, thus, contribute to social change. Originality/value Since the social media has both favourable and detrimental effects, the key for the users is to develop an awareness about the wise usage and to determine the alterations in the usage patterns that can help to reduce the behaviours associated with negative emotions and psychological distress.
{"title":"Effect of social media usage on major depressive disorder among generation Z: a study in Indian context","authors":"I. Bhat, Shilpi Gupta, Ghulam Mohammad Bhat","doi":"10.1108/idd-07-2022-0071","DOIUrl":"https://doi.org/10.1108/idd-07-2022-0071","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine the specific social media behaviours (SMB) that lead to major depressive disorder (MDD). The study also looks at the moderation effect of pandemic on social media usage among users.\u0000\u0000\u0000Design/methodology/approach\u0000Using a descriptive approach, the required data was collected from a sample of 629 social media users chosen through random sampling technique. An adopted structured online questionnaire was used to collect the data. The data collected was analysed by using univariate and multinomial regression techniques.\u0000\u0000\u0000Findings\u0000The findings of the study revealed that social media intensity, social media addiction (SMA), social media participation, social interaction and SMB had a positive impact on MDD, whereas social comparison had a negative impact. The pandemic situation has also been found to moderate the effect of social media usage on MDD.\u0000\u0000\u0000Social implications\u0000This study will be supportive in disclosing behaviours and activities of students that impact their mental health adversely. This will also be helpful in dealing with specific stressors in the programs designed to cope with the depression. By adopting effective strategies to manage social media usage, the study would help to reduce the level of depressive symptoms among college students, significantly promoting healthy environments for students and, thus, contribute to social change.\u0000\u0000\u0000Originality/value\u0000Since the social media has both favourable and detrimental effects, the key for the users is to develop an awareness about the wise usage and to determine the alterations in the usage patterns that can help to reduce the behaviours associated with negative emotions and psychological distress.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41247548","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 : 2023-08-01DOI: 10.1108/idd-11-2022-0109
Jinal Shah, Monica Khanna
Purpose This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct. Design/methodology/approach This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis. Findings The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs. Research limitations/implications In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms. Practical implications The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners. Originality/value The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.
{"title":"Determining the post-adoptive intention of millennials for MOOCs: an information systems perspective","authors":"Jinal Shah, Monica Khanna","doi":"10.1108/idd-11-2022-0109","DOIUrl":"https://doi.org/10.1108/idd-11-2022-0109","url":null,"abstract":"\u0000Purpose\u0000This study aims to understand the learner behaviour of millennials for Massive Open Online Courses (MOOCs) in the post-adoption stage by extending the theory of Unified Theory of Acceptance and User Technology 2 (UTAUT2) with expectancy confirmation model (ECM) along with personal innovativeness as the exogenous, satisfaction as a mediating and continued intention as an endogenous construct.\u0000\u0000\u0000Design/methodology/approach\u0000This study applied a cross-sectional research design by using a survey method to collect primary data with a structured questionnaire. Convenience sampling was used to collect data from millennial MOOC users, and partial least square structural equation modelling method was applied for data analysis.\u0000\u0000\u0000Findings\u0000The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation influence satisfaction. Similarly, performance expectancy, hedonic motivation, personal innovativeness and satisfaction influence the continued intention for MOOCs.\u0000\u0000\u0000Research limitations/implications\u0000In terms of limitations, the study applied a cross-sectional research design that could lead to data collection bias. Similarly, the study used convenience sampling as the authors did not have access to the participant list of users from MOOC platforms.\u0000\u0000\u0000Practical implications\u0000The research highlights various insights to all the stakeholders on improving MOOC satisfaction and enhance the continued intention for millennial learners.\u0000\u0000\u0000Originality/value\u0000The findings of this research bridge this gap by examining the post-adoption usage behaviour of MOOCs by extending the baseline model of UTAUT2 with personal innovativeness and integrating it with ECM.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48603219","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 : 2023-07-31DOI: 10.1108/idd-01-2023-0002
Danny Sandor, Marina Bagić Babac
Purpose Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning. Design/methodology/approach For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared. Findings The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models. Originality/value This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.
{"title":"Sarcasm detection in online comments using machine learning","authors":"Danny Sandor, Marina Bagić Babac","doi":"10.1108/idd-01-2023-0002","DOIUrl":"https://doi.org/10.1108/idd-01-2023-0002","url":null,"abstract":"\u0000Purpose\u0000Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.\u0000\u0000\u0000Design/methodology/approach\u0000For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.\u0000\u0000\u0000Findings\u0000The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.\u0000\u0000\u0000Originality/value\u0000This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48516506","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}
Purpose Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering. Design/methodology/approach This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined. Findings The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50. Originality/value To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.
目的:网站、搜索引擎、推荐系统、人工智能和数字图书馆都有可能支持意外发现，即与信息和想法进行意想不到的交互，从而导致受欢迎的信息发现。本文旨在探讨意外发现的研究现状，特别是与信息相遇相关的意外发现。设计/方法/方法本研究对从Web of Science中提取的166项关于serendipity的研究进行了文献计量学综述。两种文献计量分析工具HisCite和RStudio (Biblioshiny)用于30年的数据。论文的引用计数和书目记录使用HisCite进行评估。此外，使用RStudio (Biblioshiny)软件对重要来源、国家、关键词以及作者和机构的合作网络进行可视化评估。从1989年到2022年，共发现了166篇关于意外发现的论文，并确定了其中最有影响力的作者、文章、期刊、机构和国家。研究结果:2019年发表了11篇论文，数量最多。Makri和Erdelez是对意外发现的研究最有影响力的作者。《文献学报》是国内排名第一的期刊。伦敦大学学院(University College London)是对意外发现的研究贡献最多的著名机构。英国和美国是贡献研究数量最多的突出国家。意外发现研究的作者模式揭示了大多数研究的单一作者参与。OA Green模型是研究serendipity的作者最喜欢的研究文章归档模型。此外，大部分研究成果的引用数在0 - 50之间。原创性/价值据作者所知，本文可能是图书馆情报学研究中首次使用文献计量学工具对偶然性研究进行文献计量学分析。这篇论文肯定会为其他偶然发现的研究人员开辟新的途径。
{"title":"A bibliometric review on serendipity literature available in Web of Science database using HistCite and Biblioshiny","authors":"Abhijit Thakuria, Indranil Chakraborty, Dipen Deka","doi":"10.1108/idd-01-2023-0001","DOIUrl":"https://doi.org/10.1108/idd-01-2023-0001","url":null,"abstract":"\u0000Purpose\u0000Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering.\u0000\u0000\u0000Design/methodology/approach\u0000This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined.\u0000\u0000\u0000Findings\u0000The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47719579","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 : 2023-07-18DOI: 10.1108/idd-12-2022-0128
Karrar Khalaf Jabbar Allami, Faozi A. Almaqtari, Hamood Mohammed Al-Hattami, Ritu Sapra
Purpose This study aims to investigate the factors associated with the intention to use information technology in audit (ITIA) in Iraq. Design/methodology/approach The study uses a quantitative approach based on a questionnaire survey of 186 respondents. The study population includes respondents who are board members, senior executives, internal auditors and information technology (IT) assistants in various Iraqi organizations from different sectors. Structural equation modeling has been used to estimate the results. Findings The findings exhibit that most auditors in Iraq use basic IT software. However, among several specialized and advanced IT audit software packages, only generalized audit software is used by about 20%. The results also indicate that social factors significantly and positively impact auditors’ and practitioners’ perceptions of ITIA use. Moreover, the results reveal that companies and auditors who use or audit complex accounting systems perceive higher benefits and intent to adopt ITIA. However, the results report that organizational support, professional support, competency and IT education have an insignificant effect on ITIA adoption. Originality/value The originality of the present research lies in several aspects. First, the research study focuses specifically on Iraq, which is an emerging and less developed country influenced by social and economic. This research context provides a unique perspective and contributes to the understanding of ITIA adoption in less developed countries. The study investigates how external factors, including social and external pressure and the support of government professional bodies, affect the adoption of ITIA. Further, it assesses the influence of firms’ specific factors such as management support, level of competency and complexity of accounting information systems. Second, the study uses a quantitative approach with a questionnaire survey from various Iraqi organizations and sectors. The specific sample composition adds originality by capturing insights from different levels of organizational hierarchy and diverse professional backgrounds. Third, the findings shed light on the current IT usage in auditing practices in Iraq, highlighting that most auditors use basic IT software and the limited adoption of specialized IT audit software packages. Finally, the study’s originality is also reflected in its contribution to expanding knowledge on the perceived benefits and challenges associated with ITIA adoption in less developed countries. By emphasizing the need for broader awareness of emerging technology-enabled auditing software and considering the unique characteristics of less developed countries, the research provides valuable insights and implications for practitioners, policymakers and researchers.
{"title":"Factors associated with the intention to use information technology in audit in Iraq","authors":"Karrar Khalaf Jabbar Allami, Faozi A. Almaqtari, Hamood Mohammed Al-Hattami, Ritu Sapra","doi":"10.1108/idd-12-2022-0128","DOIUrl":"https://doi.org/10.1108/idd-12-2022-0128","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate the factors associated with the intention to use information technology in audit (ITIA) in Iraq.\u0000\u0000\u0000Design/methodology/approach\u0000The study uses a quantitative approach based on a questionnaire survey of 186 respondents. The study population includes respondents who are board members, senior executives, internal auditors and information technology (IT) assistants in various Iraqi organizations from different sectors. Structural equation modeling has been used to estimate the results.\u0000\u0000\u0000Findings\u0000The findings exhibit that most auditors in Iraq use basic IT software. However, among several specialized and advanced IT audit software packages, only generalized audit software is used by about 20%. The results also indicate that social factors significantly and positively impact auditors’ and practitioners’ perceptions of ITIA use. Moreover, the results reveal that companies and auditors who use or audit complex accounting systems perceive higher benefits and intent to adopt ITIA. However, the results report that organizational support, professional support, competency and IT education have an insignificant effect on ITIA adoption.\u0000\u0000\u0000Originality/value\u0000The originality of the present research lies in several aspects. First, the research study focuses specifically on Iraq, which is an emerging and less developed country influenced by social and economic. This research context provides a unique perspective and contributes to the understanding of ITIA adoption in less developed countries. The study investigates how external factors, including social and external pressure and the support of government professional bodies, affect the adoption of ITIA. Further, it assesses the influence of firms’ specific factors such as management support, level of competency and complexity of accounting information systems. Second, the study uses a quantitative approach with a questionnaire survey from various Iraqi organizations and sectors. The specific sample composition adds originality by capturing insights from different levels of organizational hierarchy and diverse professional backgrounds. Third, the findings shed light on the current IT usage in auditing practices in Iraq, highlighting that most auditors use basic IT software and the limited adoption of specialized IT audit software packages. Finally, the study’s originality is also reflected in its contribution to expanding knowledge on the perceived benefits and challenges associated with ITIA adoption in less developed countries. By emphasizing the need for broader awareness of emerging technology-enabled auditing software and considering the unique characteristics of less developed countries, the research provides valuable insights and implications for practitioners, policymakers and researchers.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48533430","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 : 2023-07-17DOI: 10.1108/idd-10-2022-0099
Anaile Rabelo, M. W. Rodrigues, Cristiane Nobre, Seiji Isotani, Luis E. Zárate
Purpose The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective. Design/methodology/approach This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM. Findings From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles. Originality/value This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.
{"title":"Educational data mining and learning analytics: a review of educational management in e-learning","authors":"Anaile Rabelo, M. W. Rodrigues, Cristiane Nobre, Seiji Isotani, Luis E. Zárate","doi":"10.1108/idd-10-2022-0099","DOIUrl":"https://doi.org/10.1108/idd-10-2022-0099","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.\u0000\u0000\u0000Findings\u0000From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.\u0000\u0000\u0000Originality/value\u0000This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47903133","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}
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