Pub Date : 2023-01-10DOI: 10.1108/idd-02-2022-0016
Manpreet Singh, Urvashi Tandon, A. Mittal
Purpose The purpose of this paper is to identify the antecedents of continued usage intentions in the connected devices ecosystem in health care by analyzing the users' and physicians' expectations in a new ecosystem where one prefers to connect digitally rather than physically. Design/methodology/approach This is a unique study in which data was collected from 242 doctors and 215 end-users to gauge the expectations from the connected devices in health care. Further, these responses were hypothesised using UTAUT-2 and ECT theories to analyze general users’ and professional users’ or doctors’ expectations for continued usage in connected devices ecosystem in the health-care ecosystem. Findings Performance expectancy, social influence, facilitating conditions and price value emerged as significant predictors of satisfaction in both user groups. But habit and hedonic motivation reflected an insignificant impact on user satisfaction. Surprisingly, effort expectancy emerged as a significant factor for end-user satisfaction, and this became insignificant for professional user satisfaction. Satisfaction was positively related to continued usage for both user groups, and app quality has a positive impact on all the predictors. Practical implications To the best of the authors’ knowledge, this is the first comparative study to understand the factors which influence consumer behavior leading to a holistic model and can be imbibed for creating a better customer experience in an era where we are more comfortable connecting digitally rather than physically. Originality/value This study has used the Unified Theory of Acceptance and Use of Technology-2 model and expectation confirmation theory to analyze the key factors influencing the intentions for continued usage of devices in the Internet of Medical Devices setup.
{"title":"Modeling users’ and practitioners’ intention for continued usage of the Internet of Medical Devices (IoMD): an empirical investigation","authors":"Manpreet Singh, Urvashi Tandon, A. Mittal","doi":"10.1108/idd-02-2022-0016","DOIUrl":"https://doi.org/10.1108/idd-02-2022-0016","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to identify the antecedents of continued usage intentions in the connected devices ecosystem in health care by analyzing the users' and physicians' expectations in a new ecosystem where one prefers to connect digitally rather than physically.\u0000\u0000\u0000Design/methodology/approach\u0000This is a unique study in which data was collected from 242 doctors and 215 end-users to gauge the expectations from the connected devices in health care. Further, these responses were hypothesised using UTAUT-2 and ECT theories to analyze general users’ and professional users’ or doctors’ expectations for continued usage in connected devices ecosystem in the health-care ecosystem.\u0000\u0000\u0000Findings\u0000Performance expectancy, social influence, facilitating conditions and price value emerged as significant predictors of satisfaction in both user groups. But habit and hedonic motivation reflected an insignificant impact on user satisfaction. Surprisingly, effort expectancy emerged as a significant factor for end-user satisfaction, and this became insignificant for professional user satisfaction. Satisfaction was positively related to continued usage for both user groups, and app quality has a positive impact on all the predictors.\u0000\u0000\u0000Practical implications\u0000To the best of the authors’ knowledge, this is the first comparative study to understand the factors which influence consumer behavior leading to a holistic model and can be imbibed for creating a better customer experience in an era where we are more comfortable connecting digitally rather than physically.\u0000\u0000\u0000Originality/value\u0000This study has used the Unified Theory of Acceptance and Use of Technology-2 model and expectation confirmation theory to analyze the key factors influencing the intentions for continued usage of devices in the Internet of Medical Devices setup.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45295109","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 : 2023-01-04DOI: 10.1108/idd-09-2022-0091
Dazhi Yang, C. Snelson, Shi Feng
Purpose This paper aims to identify computational thinking (CT) in 4th to 6th grade students in the context of project-based problem-solving while engaged in an after-school program. Design/methodology/approach This case study approach was selected due to its suitability for answering “how” or “why” questions about real-world phenomena within a set context (Creswell and Poth, 2018; Yin, 2018). This was an appropriate fit given the context of an after-school program and the research question asked how to identify learners’ demonstrated CT through project-based learning hands-on activities and problem-solving in a naturalistic environment. Findings Results show that heuristics, algorithms and conditional logic were observed more than other components of CT such as data collection, simulations and modeling. Descriptions of common activities in a naturalistic learning environment are presented to illustrate how the students practiced CT over time, which could help readers develop an understanding of CT in conjunction with hands-on problem-solving activities in elementary students. Identifying and classifying CT in this study focused on students’ learning process. Originality/value This study contributes to the challenging field of evaluating CT while focusing on observable behaviors and problem-solving activities with various degrees of teacher’s facilitation instead of final artifacts. Implications for researchers and educators interested in integrating CT in K-12 learning and its assessment are discussed.
{"title":"Identifying computational thinking in students through project-based problem-solving activities","authors":"Dazhi Yang, C. Snelson, Shi Feng","doi":"10.1108/idd-09-2022-0091","DOIUrl":"https://doi.org/10.1108/idd-09-2022-0091","url":null,"abstract":"\u0000Purpose\u0000This paper aims to identify computational thinking (CT) in 4th to 6th grade students in the context of project-based problem-solving while engaged in an after-school program.\u0000\u0000\u0000Design/methodology/approach\u0000This case study approach was selected due to its suitability for answering “how” or “why” questions about real-world phenomena within a set context (Creswell and Poth, 2018; Yin, 2018). This was an appropriate fit given the context of an after-school program and the research question asked how to identify learners’ demonstrated CT through project-based learning hands-on activities and problem-solving in a naturalistic environment.\u0000\u0000\u0000Findings\u0000Results show that heuristics, algorithms and conditional logic were observed more than other components of CT such as data collection, simulations and modeling. Descriptions of common activities in a naturalistic learning environment are presented to illustrate how the students practiced CT over time, which could help readers develop an understanding of CT in conjunction with hands-on problem-solving activities in elementary students. Identifying and classifying CT in this study focused on students’ learning process.\u0000\u0000\u0000Originality/value\u0000This study contributes to the challenging field of evaluating CT while focusing on observable behaviors and problem-solving activities with various degrees of teacher’s facilitation instead of final artifacts. Implications for researchers and educators interested in integrating CT in K-12 learning and its assessment are discussed.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49174558","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 : 2022-12-22DOI: 10.1108/idd-05-2022-0038
Meenal Arora, Anshika Prakash, Saurav Dixit, A. Mittal, Swati Singh
Purpose This study aims to analyze the existing literature in human resource analytics and highlights the future research agenda and trends in the same context. It deals with evaluating regional distribution, identifying key authors, publications, journals and keyword occurrences while examining current literature. Design/methodology/approach A total of 127 articles exported from the Scopus database were systematically analyzed using bibliometric analysis through VOSviewer, including performance analysis and science mapping of the literature studied. Findings This research postulates the inconsistency between the number of publications and citations received by an author. There was an increase in collaborative research over the years. Human Resource Management Review was regarded as the most influential journal with maximum citation. Maximum publications came from Asian countries. The study revealed that the author with maximum citation were mostly the first authors of the most cited documents. Practical implications This research may be beneficial for both researchers and human resource (HR) practitioners because it identifies the research gaps and research needs in the HR analytics domain. Besides, this study recognizes the patterns in HR analytics literature that helps researchers better understand the subject area. Originality/value This research incorporates bibliometric analysis for analyzing HR analytics literature to establish a more exhaustive and systematic understanding of the research area. This research contributes to the existing body of literature and assists fellow researchers in future studies.
{"title":"A critical review of HR analytics: visualization and bibliometric analysis approach","authors":"Meenal Arora, Anshika Prakash, Saurav Dixit, A. Mittal, Swati Singh","doi":"10.1108/idd-05-2022-0038","DOIUrl":"https://doi.org/10.1108/idd-05-2022-0038","url":null,"abstract":"\u0000Purpose\u0000This study aims to analyze the existing literature in human resource analytics and highlights the future research agenda and trends in the same context. It deals with evaluating regional distribution, identifying key authors, publications, journals and keyword occurrences while examining current literature.\u0000\u0000\u0000Design/methodology/approach\u0000A total of 127 articles exported from the Scopus database were systematically analyzed using bibliometric analysis through VOSviewer, including performance analysis and science mapping of the literature studied.\u0000\u0000\u0000Findings\u0000This research postulates the inconsistency between the number of publications and citations received by an author. There was an increase in collaborative research over the years. Human Resource Management Review was regarded as the most influential journal with maximum citation. Maximum publications came from Asian countries. The study revealed that the author with maximum citation were mostly the first authors of the most cited documents.\u0000\u0000\u0000Practical implications\u0000This research may be beneficial for both researchers and human resource (HR) practitioners because it identifies the research gaps and research needs in the HR analytics domain. Besides, this study recognizes the patterns in HR analytics literature that helps researchers better understand the subject area.\u0000\u0000\u0000Originality/value\u0000This research incorporates bibliometric analysis for analyzing HR analytics literature to establish a more exhaustive and systematic understanding of the research area. This research contributes to the existing body of literature and assists fellow researchers in future studies.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49146918","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 : 2022-11-14DOI: 10.1108/idd-04-2022-0027
Marina Bagić Babac
Purpose Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour. Design/methodology/approach More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis. Findings The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour. Originality/value This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.
{"title":"Emotion analysis of user reactions to online news","authors":"Marina Bagić Babac","doi":"10.1108/idd-04-2022-0027","DOIUrl":"https://doi.org/10.1108/idd-04-2022-0027","url":null,"abstract":"\u0000Purpose\u0000Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour.\u0000\u0000\u0000Design/methodology/approach\u0000More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis.\u0000\u0000\u0000Findings\u0000The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour.\u0000\u0000\u0000Originality/value\u0000This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47647838","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 : 2022-11-04DOI: 10.1108/idd-02-2022-0015
Clement Ola Adekoya, Isioma Alexis Ureki, Adesola Victoria Alade
Purpose The quest for sustainable food security (SFS) is fundamental to United Nations Sustainable Development Goals. In furtherance of their pivotal role in providing the required information resources in support of education and research, libraries are expected to assist the economy in ensuring SFS. The purpose of this study is to investigate how libraries provide information to support research in agriculture towards the attainment of SFS in Nigeria. Design/methodology/approach Descriptive research design was used for the study. Interview and questionnaire were used as the instruments of data collection. Findings This study found that the extent of use of library information resources for SFS in Nigeria is high. Libraries, though facing some challenges, contribute significantly to the attainment of food security in Nigeria. It was recommended that libraries should intensify efforts to embark on media literacy programmes and provide information resources for research on agriculture and food production with a view to actualising food security goals specified in Sustainable Development Goals. Libraries should be well-funded to acquire the relevant information resources to aid research into food security and end hunger and poverty across the world. Practical implications This study suggests having better sponsored libraries that can perform as required in advancing agricultural information needs. Originality/value This study is a creative attempt to know how libraries can contribute to SFS through the provision of information to farmers and lecturers in agriculture.
{"title":"Attainment of sustainable food security in Nigeria: the role of libraries","authors":"Clement Ola Adekoya, Isioma Alexis Ureki, Adesola Victoria Alade","doi":"10.1108/idd-02-2022-0015","DOIUrl":"https://doi.org/10.1108/idd-02-2022-0015","url":null,"abstract":"\u0000Purpose\u0000The quest for sustainable food security (SFS) is fundamental to United Nations Sustainable Development Goals. In furtherance of their pivotal role in providing the required information resources in support of education and research, libraries are expected to assist the economy in ensuring SFS. The purpose of this study is to investigate how libraries provide information to support research in agriculture towards the attainment of SFS in Nigeria.\u0000\u0000\u0000Design/methodology/approach\u0000Descriptive research design was used for the study. Interview and questionnaire were used as the instruments of data collection.\u0000\u0000\u0000Findings\u0000This study found that the extent of use of library information resources for SFS in Nigeria is high. Libraries, though facing some challenges, contribute significantly to the attainment of food security in Nigeria. It was recommended that libraries should intensify efforts to embark on media literacy programmes and provide information resources for research on agriculture and food production with a view to actualising food security goals specified in Sustainable Development Goals. Libraries should be well-funded to acquire the relevant information resources to aid research into food security and end hunger and poverty across the world.\u0000\u0000\u0000Practical implications\u0000This study suggests having better sponsored libraries that can perform as required in advancing agricultural information needs.\u0000\u0000\u0000Originality/value\u0000This study is a creative attempt to know how libraries can contribute to SFS through the provision of information to farmers and lecturers in agriculture.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43161895","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 : 2022-11-03DOI: 10.1108/idd-07-2022-0063
Reza Edris Abadi, M. Ershadi, S. T. A. Niaki
Purpose The overall goal of the data mining process is to extract information from an extensive data set and make it understandable for further use. When working with large volumes of unstructured data in research information systems, it is necessary to divide the information into logical groupings after examining their quality before attempting to analyze it. On the other hand, data quality results are valuable resources for defining quality excellence programs of any information system. Hence, the purpose of this study is to discover and extract knowledge to evaluate and improve data quality in research information systems. Design/methodology/approach Clustering in data analysis and exploiting the outputs allows practitioners to gain an in-depth and extensive look at their information to form some logical structures based on what they have found. In this study, data extracted from an information system are used in the first stage. Then, the data quality results are classified into an organized structure based on data quality dimension standards. Next, clustering algorithms (K-Means), density-based clustering (density-based spatial clustering of applications with noise [DBSCAN]) and hierarchical clustering (balanced iterative reducing and clustering using hierarchies [BIRCH]) are applied to compare and find the most appropriate clustering algorithms in the research information system. Findings This paper showed that quality control results of an information system could be categorized through well-known data quality dimensions, including precision, accuracy, completeness, consistency, reputation and timeliness. Furthermore, among different well-known clustering approaches, the BIRCH algorithm of hierarchical clustering methods performs better in data clustering and gives the highest silhouette coefficient value. Next in line is the DBSCAN method, which performs better than the K-Means method. Research limitations/implications In the data quality assessment process, the discrepancies identified and the lack of proper classification for inconsistent data have led to unstructured reports, making the statistical analysis of qualitative metadata problems difficult and thus impossible to root out the observed errors. Therefore, in this study, the evaluation results of data quality have been categorized into various data quality dimensions, based on which multiple analyses have been performed in the form of data mining methods. Originality/value Although several pieces of research have been conducted to assess data quality results of research information systems, knowledge extraction from obtained data quality scores is a crucial work that has rarely been studied in the literature. Besides, clustering in data quality analysis and exploiting the outputs allows practitioners to gain an in-depth and extensive look at their information to form some logical structures based on what they have found.
{"title":"A clustering approach for data quality results of research information systems","authors":"Reza Edris Abadi, M. Ershadi, S. T. A. Niaki","doi":"10.1108/idd-07-2022-0063","DOIUrl":"https://doi.org/10.1108/idd-07-2022-0063","url":null,"abstract":"\u0000Purpose\u0000The overall goal of the data mining process is to extract information from an extensive data set and make it understandable for further use. When working with large volumes of unstructured data in research information systems, it is necessary to divide the information into logical groupings after examining their quality before attempting to analyze it. On the other hand, data quality results are valuable resources for defining quality excellence programs of any information system. Hence, the purpose of this study is to discover and extract knowledge to evaluate and improve data quality in research information systems.\u0000\u0000\u0000Design/methodology/approach\u0000Clustering in data analysis and exploiting the outputs allows practitioners to gain an in-depth and extensive look at their information to form some logical structures based on what they have found. In this study, data extracted from an information system are used in the first stage. Then, the data quality results are classified into an organized structure based on data quality dimension standards. Next, clustering algorithms (K-Means), density-based clustering (density-based spatial clustering of applications with noise [DBSCAN]) and hierarchical clustering (balanced iterative reducing and clustering using hierarchies [BIRCH]) are applied to compare and find the most appropriate clustering algorithms in the research information system.\u0000\u0000\u0000Findings\u0000This paper showed that quality control results of an information system could be categorized through well-known data quality dimensions, including precision, accuracy, completeness, consistency, reputation and timeliness. Furthermore, among different well-known clustering approaches, the BIRCH algorithm of hierarchical clustering methods performs better in data clustering and gives the highest silhouette coefficient value. Next in line is the DBSCAN method, which performs better than the K-Means method.\u0000\u0000\u0000Research limitations/implications\u0000In the data quality assessment process, the discrepancies identified and the lack of proper classification for inconsistent data have led to unstructured reports, making the statistical analysis of qualitative metadata problems difficult and thus impossible to root out the observed errors. Therefore, in this study, the evaluation results of data quality have been categorized into various data quality dimensions, based on which multiple analyses have been performed in the form of data mining methods.\u0000\u0000\u0000Originality/value\u0000Although several pieces of research have been conducted to assess data quality results of research information systems, knowledge extraction from obtained data quality scores is a crucial work that has rarely been studied in the literature. Besides, clustering in data quality analysis and exploiting the outputs allows practitioners to gain an in-depth and extensive look at their information to form some logical structures based on what they have found.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47319983","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 : 2022-10-31DOI: 10.1108/idd-02-2022-0014
S. Olaleye, E. Mogaji, F. J. Agbo, D. Ukpabi, Akwasi Gyamerah
Purpose The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature. Design/methodology/approach The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus. Findings This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future. Research limitations/implications Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field. Practical implications The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies. Originality/value This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future.
数据经济主要依赖于监控资本主义的商业模式，使公司能够将其数据货币化。监控允许将私人的人类经验转化为可以在营销领域利用的行为数据。本研究旨在以已发表文献的定量文献计量分析的方法学视角来研究数据经济领域。设计/方法/方法文献计量学分析旨在揭示数据经济出现的趋势和时间表，其概念化，科学进步和主题协同作用，可以预测该领域的未来。2008年至2021年6月期间的591个数据被用于分析，使用web界面上的Biblioshiny应用程序和VOSviewer 1.6.16版本分析来自web of Science和Scopus的数据。本研究结合了可查找、可访问、可互操作和可重用(FAIR)数据和数据经济，通过阐明数据经济的概念、知识和社会结构，并证明数据相关性是公司和学术界现在和未来的关键战略资产，为大数据、信息发现和传递的文献做出了贡献。研究的局限性/意义本研究的发现为研究人员提供了一个踏脚石，他们可以通过采用定量和系统的回顾方法进行进一步的实证和纵向研究。此外，未来的研究可以将本研究的范围扩展到FAIR数据和数据经济之外，以检查理论等方面，并对新兴领域的几个现象给出合理的解释。实际意义研究人员可以将本研究的结果作为进一步实证和纵向研究的垫脚石。原创性/价值本研究证实了数据与社会的相关性，并揭示了未来需要弥补的一些差距。
{"title":"The composition of data economy: a bibliometric approach and TCCM framework of conceptual, intellectual and social structure","authors":"S. Olaleye, E. Mogaji, F. J. Agbo, D. Ukpabi, Akwasi Gyamerah","doi":"10.1108/idd-02-2022-0014","DOIUrl":"https://doi.org/10.1108/idd-02-2022-0014","url":null,"abstract":"\u0000Purpose\u0000The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature.\u0000\u0000\u0000Design/methodology/approach\u0000The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus.\u0000\u0000\u0000Findings\u0000This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future.\u0000\u0000\u0000Research limitations/implications\u0000Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field.\u0000\u0000\u0000Practical implications\u0000The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies.\u0000\u0000\u0000Originality/value\u0000This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42863296","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 : 2022-10-31DOI: 10.1108/idd-04-2021-0044
Muhammad Safdar, S. Rehman, Muhammad Arif, M. Ashiq
Purpose The purpose of this paper was to systematically collect and review all studies which have been conducted on research data services in libraries across the globe. Design/methodology/approach Six world-renowned scholarly databases were searched and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used for the identification and selection of eligible studies. The studies were then assessed using a well-renowned framework for the quality assessment of research studies. Findings The results revealed that the libraries were engaged in providing different types of research data services such as identification, acquisition, management and preservation of research data. They also arranged training programs, supported the publishing and sharing of data and dealt with the licensing and copyright issues related to data. Research limitations/implications The results of this study would be helpful for researchers and organizations, especially those engaged in educational activities, in understanding the current scenario of research data services in the world libraries. Furthermore, the findings offer valuable insights to library professionals regarding the types of research support services available globally. This would enable them to play an integral role in planning, designing and implementing such services in their libraries. Originality/value To the best of the authors’ knowledge, this study is the first of its kind that systematically collects and reviews the literature on research data services in libraries worldwide.
{"title":"Research data services in libraries: a systematic literature review","authors":"Muhammad Safdar, S. Rehman, Muhammad Arif, M. Ashiq","doi":"10.1108/idd-04-2021-0044","DOIUrl":"https://doi.org/10.1108/idd-04-2021-0044","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper was to systematically collect and review all studies which have been conducted on research data services in libraries across the globe.\u0000\u0000\u0000Design/methodology/approach\u0000Six world-renowned scholarly databases were searched and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used for the identification and selection of eligible studies. The studies were then assessed using a well-renowned framework for the quality assessment of research studies.\u0000\u0000\u0000Findings\u0000The results revealed that the libraries were engaged in providing different types of research data services such as identification, acquisition, management and preservation of research data. They also arranged training programs, supported the publishing and sharing of data and dealt with the licensing and copyright issues related to data.\u0000\u0000\u0000Research limitations/implications\u0000The results of this study would be helpful for researchers and organizations, especially those engaged in educational activities, in understanding the current scenario of research data services in the world libraries. Furthermore, the findings offer valuable insights to library professionals regarding the types of research support services available globally. This would enable them to play an integral role in planning, designing and implementing such services in their libraries.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is the first of its kind that systematically collects and reviews the literature on research data services in libraries worldwide.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48014155","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 : 2022-10-27DOI: 10.1108/idd-08-2021-0088
Maryam Tavosi, N. Naghshineh
Purpose This study aims to present a comparative study of university library websites (in the USA) from the standpoint of “Google SEO” and “Accessibility”. Furthermore, correlation analysis between these two done. Design/methodology/approach By opting for a webometric approach, the present study analyzed university library websites in the USA. The Lighthouse add-on for the Google Chrome browser has been used as a data collection tool, by writing and implementing a computer program in Bash language automatically (May 2020). Data analysis tools used were “Libre-Office-Calc”, “SPSS22” and “Excel”. Findings In all 81 university library websites in the USA, Google search engine optimization (SEO) scores have been observed the amount higher than 60 (Total Score = 100). The accessibility rank obtained lay between 0.56 and 1 (Total Score = 1). A weak correlation relationship between “SEO score” and “accessibility rank” (P-value = 0.02, Spearman Correlation Coefficient = 0.345) was observed. This weak relationship can be explained due to the impact of several components affecting Google’s SEO score, one of them being having a high “accessibility rank”. Practical implications Given the increasing automation of library processes, SEO tools can help libraries in achieving their digital marketing goals. Originality/value Accurate measurement of the Google SEO score and accessibility rank for the university library websites (in the USA) were obtained by Lighthouse add-on for Google Chrome browser. Moreover, data extraction by the implementation of one program computer without the direct observation of human resources is the innovation of this study.
{"title":"Google SEO score and accessibility rank on the American University Libraries’ websites: one comparative analysis","authors":"Maryam Tavosi, N. Naghshineh","doi":"10.1108/idd-08-2021-0088","DOIUrl":"https://doi.org/10.1108/idd-08-2021-0088","url":null,"abstract":"\u0000Purpose\u0000This study aims to present a comparative study of university library websites (in the USA) from the standpoint of “Google SEO” and “Accessibility”. Furthermore, correlation analysis between these two done.\u0000\u0000\u0000Design/methodology/approach\u0000By opting for a webometric approach, the present study analyzed university library websites in the USA. The Lighthouse add-on for the Google Chrome browser has been used as a data collection tool, by writing and implementing a computer program in Bash language automatically (May 2020). Data analysis tools used were “Libre-Office-Calc”, “SPSS22” and “Excel”.\u0000\u0000\u0000Findings\u0000In all 81 university library websites in the USA, Google search engine optimization (SEO) scores have been observed the amount higher than 60 (Total Score = 100). The accessibility rank obtained lay between 0.56 and 1 (Total Score = 1). A weak correlation relationship between “SEO score” and “accessibility rank” (P-value = 0.02, Spearman Correlation Coefficient = 0.345) was observed. This weak relationship can be explained due to the impact of several components affecting Google’s SEO score, one of them being having a high “accessibility rank”.\u0000\u0000\u0000Practical implications\u0000Given the increasing automation of library processes, SEO tools can help libraries in achieving their digital marketing goals.\u0000\u0000\u0000Originality/value\u0000Accurate measurement of the Google SEO score and accessibility rank for the university library websites (in the USA) were obtained by Lighthouse add-on for Google Chrome browser. Moreover, data extraction by the implementation of one program computer without the direct observation of human resources is the innovation of this study.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42539017","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 : 2022-10-20DOI: 10.1108/idd-10-2021-0115
J. Wani, S. A. Ganaie, Ikhlaq ur Rehman
Purpose The purpose of this study is to examine the research output on “library and information science” (LIS) research domain in South Africa. It also highlights the top LIS research organisations, authors, journals, collaboration types and commonly used keywords. This research will aid in the identification of emerging concepts, trends and advances in this subject. Design/methodology/approach The Web of Science (WoS), an indexing and abstracting database, served as a tool for bibliographical data. By applying advanced search features, the authors curated data from 1989 to 2021 through the WoS subject category WC = (Information Science & Library Science), limiting the scope to the region, CU = (South Africa), which resulted in 1,034 articles. Moreover, the research focuses on science mapping using the R package for reliable analysis. Findings The findings reveal that the publications have considerably grown over time, indicating significant attention among researchers in LIS. The findings indicate the critical operator’s performance, existing thematic choices and subsequent research opportunities. The primary topical fields of study that emerged from the bibliometric analysis are impact, information, science, model, management, technology, knowledge and education. Pouris and Fourie are the most productive citations, h-index and g-index. The influential institute was The University of Pretoria. Research limitations/implications The use of the WoS database for data collecting limits this study. Because the WoS was the only citation and abstract database used in this study, bibliometric investigations using other citation and abstract databases like “Scopus”, “Google Scholar” and “Dimension” could be interesting. This study presented a bibliometric summary; nevertheless, a systematic and methodical examination of highly cited LIS research publications could throw more light on the subject. Practical implications This paper gives valuable information about recent scientific advancements in the LIS and emerging future academic subject prospects. Furthermore, this research work will serve as a reference for researchers in various areas to analyse the evolution of scholarly literature on a particular topic over time. Originality/value By identifying the standard channels of study in the LIS discipline, and the essential journals, publications, nations, institutions, authors, data sources and networks in this subject, this bibliometric mapping and visualisation provide new perspectives into academic performance. This paper also articulates future research directions in this realm of knowledge. This study is more rigorous and comprehensive in terms of the analytical procedures it uses.
{"title":"Mapping research output on library and information science research domain in South Africa: a bibliometric visualisation","authors":"J. Wani, S. A. Ganaie, Ikhlaq ur Rehman","doi":"10.1108/idd-10-2021-0115","DOIUrl":"https://doi.org/10.1108/idd-10-2021-0115","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine the research output on “library and information science” (LIS) research domain in South Africa. It also highlights the top LIS research organisations, authors, journals, collaboration types and commonly used keywords. This research will aid in the identification of emerging concepts, trends and advances in this subject.\u0000\u0000\u0000Design/methodology/approach\u0000The Web of Science (WoS), an indexing and abstracting database, served as a tool for bibliographical data. By applying advanced search features, the authors curated data from 1989 to 2021 through the WoS subject category WC = (Information Science & Library Science), limiting the scope to the region, CU = (South Africa), which resulted in 1,034 articles. Moreover, the research focuses on science mapping using the R package for reliable analysis.\u0000\u0000\u0000Findings\u0000The findings reveal that the publications have considerably grown over time, indicating significant attention among researchers in LIS. The findings indicate the critical operator’s performance, existing thematic choices and subsequent research opportunities. The primary topical fields of study that emerged from the bibliometric analysis are impact, information, science, model, management, technology, knowledge and education. Pouris and Fourie are the most productive citations, h-index and g-index. The influential institute was The University of Pretoria.\u0000\u0000\u0000Research limitations/implications\u0000The use of the WoS database for data collecting limits this study. Because the WoS was the only citation and abstract database used in this study, bibliometric investigations using other citation and abstract databases like “Scopus”, “Google Scholar” and “Dimension” could be interesting. This study presented a bibliometric summary; nevertheless, a systematic and methodical examination of highly cited LIS research publications could throw more light on the subject.\u0000\u0000\u0000Practical implications\u0000This paper gives valuable information about recent scientific advancements in the LIS and emerging future academic subject prospects. Furthermore, this research work will serve as a reference for researchers in various areas to analyse the evolution of scholarly literature on a particular topic over time.\u0000\u0000\u0000Originality/value\u0000By identifying the standard channels of study in the LIS discipline, and the essential journals, publications, nations, institutions, authors, data sources and networks in this subject, this bibliometric mapping and visualisation provide new perspectives into academic performance. This paper also articulates future research directions in this realm of knowledge. This study is more rigorous and comprehensive in terms of the analytical procedures it uses.\u0000","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42297444","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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