Purpose - Research in the area of technology-enhanced learning (TEL) throughout the last decade has largely focused on sharing and reusing educational resources and data. This effort has led to a fragmented landscape of competing metadata schemas, or interface mechanisms. More recently, semantic technologies were taken into account to improve interoperability. The linked data approach has emerged as the de facto standard for sharing data on the web. To this end, it is obvious that the application of linked data principles offers a large potential to solve interoperability issues in the field of TEL. This paper aims to address this issue. Design/methodology/approach - In this paper, approaches are surveyed that are aimed towards a vision of linked education, i.e. education which exploits educational web data. It particularly considers the exploitation of the wealth of already existing TEL data on the web by allowing its exposure as linked data and by taking into account automated enrichment and interlinking techniques to provide rich and well-interlinked data for the educational domain. Findings - So far web-scale integration of educational resources is not facilitated, mainly due to the lack of take-up of shared principles, datasets and schemas. However, linked data principles increasingly are recognized by the TEL community. The paper provides a structured assessment and classification of existing challenges and approaches, serving as potential guideline for researchers and practitioners in the field. Originality/value - Being one of the first comprehensive surveys on the topic of linked data for education, the paper has the potential to become a widely recognized reference publication in the area.
Purpose - The purpose of this paper is to introduce the development of a knowledge management system. It allows the creation of new knowledge, its consolidation, distribution and combination in the field of educational innovation, in such a way that the knowledge is transferred from individuals to the organisation and from the organisation to individuals. To achieve this, the knowledge spirals of Nonaka are integrated. The epistemological spiral is used to obtain the ontologies that feed the ontological spiral. Design/methodology/approach - More than 600 university teachers participated in the research and the development of the management system, in which more than 400 educational innovation experiences and 1,100 authors have been included. Findings - The epistemological spiral is used to obtain the ontologies that feed the ontological spiral. The result is a double spiral that allows the contribution of a conceptual model and the development of an innovative tool that enables and automates the effective management of knowledge in educational innovation. Practical implications - A repository about educational innovation best practices and experiences is available. Social implications - The presented model for the sustainability and evolution for an educational innovation best practices repositories has a huge impact for education innovation recognition in the professional development of university teachers. On the other hand, it is way of sharing best practices of educational innovation all over the world. Originality/value - The major contribution of this research work is based on the way that the knowledge is transferred from individuals to the organisation and from the organisation to individuals. The classification schema and the proposed indicators are based on the elicitation of more than 600 experts and the study of a corpus of more than 400 educational innovation experiences that involve 1,100 university teachers approximately.
Purpose - The aim of this paper is to propose an integrated path model in order to explore acceptance of long-term evolution (LTE) services by examining potential causal relationships key psychological factors and user intention to use the services. Design/methodology/approach - Online survey data collected from 1,344 users are analysed the structural equation modelling (SEM) method. Findings - Results reveal that satisfaction is the most crucial factor contributing to user intention to use LTE services. Other factors, including perceived usefulness, attitude, and system and quality, also have notable impacts on user intention. Furthermore, system and service quality is affected by both perceived processing speed and perceived mobility, while perceived usefulness is primarily influenced by perceived adaptivity. In addition, four factors (perceived usefulness, adaptivity, processing speed, and system and service quality) are found to be major determinants the user attitudes toward the services. Originality/value - The present study provides valuable insights to understanding key factors affect user perceptions of and intention to use LTE services.
Purpose – The aim of this paper is to present an initiative to apply the principles of Linked Data to enhance the search and discovery of OpenCourseWare (OCW) contents created and shared by the universities. Design/methodology/approach – This paper is a case study of how linked data technologies can be applied for the enhancement of open learning contents. Findings – Results presented under the umbrella of OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that linked data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the linked open data cloud. Originality/value – The new OCW-Universia integration with linked data adds new features to the initial framework including improved query mechanisms and interoperability.
Purpose - This paper aims to present the results of a survey of undergraduate student use of smart phone applications. Design/methodology/approach - Undergraduate students currently enrolled in an information literacy course answered an online survey regarding their use of applications (apps) on their smart phones. Findings - However, still a small percentage of most frequently used apps (10.4 percent), search engines, online encyclopedias, and libraries are used by undergraduate students. The apps used most often are familiar to them and allow mobile access to popular web sites available on personal computers. Furthermore, a significant number (76 percent) of undergraduate students also report that they use apps to find academic information. The type of app most frequently used to find academic information is search engines. Originality/value - This research provides evidence on the actual use of mobile devices by students for library administrators and educators interested in developing integrated mobile academic library applications.
Purpose - This paper aims to survey the web sites of the academic libraries of the Association of Research Libraries (USA) regarding the adoption of Web 2.0 technologies.Design methodology approach - The websites of 100 member academic libraries of the Association of Research Libraries (USA) were surveyed.Findings - All libraries were found to be using various tools of Web 2.0. Blogs, microblogs, RSS, instant messaging, social networking sites, mashups, podcasts, and vodcasts were widely adopted, while wikis, photo sharing, presentation sharing, virtual worlds, customized webpage and vertical search engines were used less. Libraries were using these tools for sharing news, marketing their services, providing information literacy instruction, providing information about print and digital resources, and soliciting feedback of users.Originality value - The paper is useful for future planning of Web 2.0 use in academic libraries.
Purpose – In recent years, there has been much debate about the value generated by the firms’ investments in information technology (IT). Although literature suggests that technology itself will rarely create superiority, web infrastructure can be critical for knowledge sharing and the formation of virtual teams to execute innovation processes which, in turn, may enhance e-innovation and business value. Building on these antecedents, the purpose of this paper is to explore whether and how web infrastructure and e-innovation can create business value by complementing each other. Design/methodology/approach – Based on the resource-based view (RBV) of the firm this paper develops a conceptual model to assess the effects of web infrastructure and e-innovation on business value as well as the complementarity between these resources. To test the associated hypotheses, a regression model was estimated and tested on a large sample of Spanish firms from different industries. Findings – The results show that web infrastructure is not positively related to business value, but on the contrary e-innovation has a positive impact on business value. However, support for complementarity between web infrastructure and e-innovation was not found. Originality/value – The present study tests the RBV logic, arguing that not all IT resources are source of competitive advantage. In the same vein, this study shows that e-innovation, as it requires combination of IT infrastructure with other unique intangible resources, is much more difficult to imitate, leading to competitive advantages.
Purpose The purpose of this paper is to analyse the research performance of Pakistani library and information science (LIS) scholars, using the altmetrics provided by ResearchGate (RG). Design/methodology/approach Purposive sampling was used to collect profiles between 15 January 2015 and 30 April 2016 of all members of RG who had self-identified as being an LIS scholar of Pakistani nationality. Additional demographic data were obtained through a small survey administered via Google Docs. Resultant data were analysed in SPSS Version 21. Findings Study results were broadly consistent in terms of demographical data with previous studies of this cohort. There was a positive correlation between publications, reads, and citations for scholars who had recorded at least one publication. The majority of publications had not been published in a high impact factor journal. Academic networking site profiles create the potential for collaboration, building connections, and exchanging information. Research limitations/implications Some scholars eliminated from this study may have published at least one output but neglected to upload details to RG. It is a purposive, exploratory study that provides insights into future research. Practical implications The paper produces findings of relevance to researchers in other countries and/or disciplines who may wish to conduct a similar study of a defined cohort. Originality/value There have been no previous published research studies on altmetrics associated with Pakistani LIS scholars.
Purpose - The aim of this paper is to present an initiative to apply the principles of Linked Data to enhance the search and discovery of OpenCourseWare (OCW) contents created and shared by the universities. Design/methodology/approach - This paper is a case study of how linked data technologies can be applied for the enhancement Of open learning contents. Findings - Results presented under the umbrella of OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that linked data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the linked open data cloud. Originality/value - The new OCW-Universia integration with linked data adds new features to the initial framework including improved query mechanisms and interoperability.
Purpose - In 1980, Porter presented a simple algorithm for stemming English language words. This paper summarises the main features of the algorithm, and highlights its role not just in modern information retrieval research, but also in a range of related subject domains.Design methodology approach - Review of literature and research involving use of the Porter algorithm.Findings - The algorithm has been widely adopted and extended so that it has become the standard approach to word conflation for information retrieval in a wide range of languages.Orinality value - The 1980 paper in Program by Porter describing his algorithm has been highly cited. This paper provides a context for the original paper as well as an overview of its subsequent use.
Purpose The purpose of this paper is to explore the purchase intention in mobile social network games (M-SNGs) through a new perspective and discuss how to effectively promote players’ payment. Design/methodology/approach The author proposed a research model by integrating customer engagement (CE) and uses and gratification theory (U&G). Three dimensions of CE and three types of U&G were analyzed, respectively to explore the direct and indirect effects on purchase intention in M-SNGs. Online questionnaires were adopted to collect data, and 354 valid samples were analyzed by structural equation modeling approach. Findings The findings show that hedonic gratification (entertainment) and social gratification (self-presentation) have significant indirect effects on players’ purchase intention in M-SNGs through the mediation effects of CE, whereas this mechanism is not fully applied to utilitarian gratification (flexibility). Besides, three dimensions of CE are not independent, because absorption can indirectly affect vigor through dedication. Research limitations/implications The findings suggest that hedonic gratification (entertainment) and social gratification (self-presentation) can trigger three dimensions of CE to stimulate purchase intentions in M-SNGs, and utilitarian gratification (flexibility) can also promote players’ payment through absorption which is one dimension of CE. Some other theoretical and practical implications are also provided. Originality/value This study is novel in exploring players’ purchase intentions in M-SNGs by integrating CE and U&G. Meanwhile, the author also intends to reveal the relationships among the three dimensions of CE which are related to in-game purchase intention.
Purpose An ever-growing body of knowledge demonstrates the correlation among real-world phenomena and search query data issued on Google, as showed in the literature survey introduced in the following. The purpose of this paper is to introduce a pipeline, implemented as a web service, which, starting with recent Google Trends, allows a decision maker to monitor Twitter’s sentiment regarding these trends, enabling users to choose geographic areas for their monitors. In addition to the positive/negative sentiments about Google Trends, the pipeline offers the ability to view, on the same dashboard, the emotions that Google Trends triggers in the Twitter population. Such a set of tools, allows, as a whole, monitoring real-time on Twitter the feelings about Google Trends that would otherwise only fall into search statistics, even if useful. As a whole, the pipeline has no claim of prediction over the trends it tracks. Instead, it aims to provide a user with guidance about Google Trends, which, as the scientific literature demonstrates, is related to many real-world phenomena (e.g. epidemiology, economy, political science). Design/methodology/approach The proposed experimental framework allows the integration of Google search query data and Twitter social data. As new trends emerge in Google searches, the pipeline interrogates Twitter to track, also geographically, the feelings and emotions of Twitter users about new trends. The core of the pipeline is represented by a sentiment analysis framework that make use of a Bayesian machine learning device exploiting deep natural language processing modules to assign emotions and sentiment orientations to a collection of tweets geolocalized on the microblogging platform. The pipeline is accessible as a web service for any user authorized with credentials. Findings The employment of the pipeline for three different monitoring task (i.e. consumer electronics, healthcare, and politics) shows the plausibility of the proposed approach in order to measure social media sentiments and emotions concerning the trends emerged on Google searches. Originality/value The proposed approach aims to bridge the gap among Google search query data and sentiments that emerge on Twitter about these trends.
Purpose The purpose of this paper is to examine the Records in Contexts proposal of a conceptual model (RiC-CM) from the International Council on Archives’ (ICA) archival description and to propose an OWL ontology for its implementation in the semantic web. Design/methodology/approach The various elements of the model are studied and are related to earlier norms in order to understand their structure and the modeling of the ontology. Findings The analysis reveals the integrating nature of RiC-CM and the possibilities it offers for greater interoperability of data from archival descriptions. Two versions of an OWL ontology were developed to represent the conceptual model. The first makes a direct transposition of the conceptual model; the second optimizes the properties and relations in order to simplify the use and maintenance of the ontology. Research limitations/implications The proposed ontology will follow the considerations of the final version of the ICA’s RiC-CM. Practical implications The analysis affords an understanding of the role of RiC-CM in publishing online archival data sets, while the ontology is an initial approach to the semantic web technologies involved. Originality/value This paper offers an overview of Records in Contexts with respect to the advantages in the field of semantic interoperability, and supposes the first proposal of an ontology based on the conceptual model.
Purpose Many organizations are seeking unicorn data scientists, that rarest of breeds that can do it all. They are said to be experts in many traditionally distinct disciplines, including mathematics, statistics, computer science, artificial intelligence, and more. The purpose of this paper is to describe authors’ pursuit of these elusive mythical creatures. Design/methodology/approach Qualitative data were collected through semi-structured interviews with managers/directors from nine Australian state and federal government agencies with relatively mature data science functions. Findings Although the authors failed to find evidence of unicorn data scientists, they are pleased to report on six key roles that are considered to be required for an effective data science team. Primary and secondary skills for each of the roles are identified and the resulting framework is then used to illustratively evaluate three data science Master-level degrees offered by Australian universities. Research limitations/implications Given that the findings presented in this paper have been based on a study with large government agencies with relatively mature data science functions, they may not be directly transferable to less mature, smaller, and less well-resourced agencies and firms. Originality/value The skills framework provides a theoretical contribution that may be applied in practice to evaluate and improve the composition of data science teams and related training programs.
Purpose-Research data publishing is today widely regarded as crucial for reproducibility, proper assessment of scientific results, and as a way for researchers to get proper credit for sharing their data. However, several challenges need to be solved to fully realize its potential, one of them being the development of a global standard for links between research data and literature. Current linking solutions are mostly based on bilateral, ad hoc agreements between publishers and data centers. These operate in silos so that content cannot be readily combined to deliver a network graph connecting research data and literature in a comprehensive and reliable way. The Research Data Alliance (RDA) Publishing Data Services Working Group (PDS-WG) aims to address this issue of fragmentation by bringing together different stakeholders to agree on a common infrastructure for sharing links between datasets and literature. The paper aims to discuss these issues. Design/methodology/approach-This paper presents the synergic effort of the RDA PDS-WG and the OpenAIRE infrastructure toward enabling a common infrastructure for exchanging data-literature links by realizing and operating the Data-Literature Interlinking (DLI) Service. The DLI Service populates and provides access to a graph of data set-literature links (at the time of writing close to five million, and growing) collected from a variety of major data centers, publishers, and research organizations. Findings-To achieve its objectives, the Service proposes an interoperable exchange data model and format, based on which it collects and publishes links, thereby offering the opportunity to validate such common approach on real-case scenarios, with real providers and consumers. Feedback of these actors will drive continuous refinement of the both data model and exchange format, supporting the further development of the Service to become an essential part of a universal, open, cross-platform, cross-discipline solution for collecting, and sharing data set-literature links. Originality/value-This realization of the DLI Service is the first technical, cross-community, and collaborative effort in the direction of establishing a common infrastructure for facilitating the exchange of data set-literature links. As a result of its operation and underlying community effort, a new activity, name Scholix, has been initiated involving the technological level stakeholders such as DataCite and CrossRef.
Purpose The purpose of this paper is to present a solution for building an institutional information system (IIS) for the university, so that it combines the functionality of institutional repository (IR) with the functionality of current research information system (CRIS). The paper presents functionality of a system that has been implemented at Warsaw University of Technology (WUT), which solves the requirements of both system types. In addition, applied AI technologies aiming at providing features attractive for the system beneficiaries are presented. Design/methodology/approach The authors have reviewed various approaches to IIS, analyzed the problems observed by researchers in combining CRIS with IR, and have shown how the problems can be solved within a system that integrates various functionalities. Based on this analysis, the authors have implemented software Ω-ΨR (OMEGA-PSIR) for an academic IIS, which integrates requirements of both system types, and then deployed it at WUT. Findings It is shown that although a classical repository is an important part of the CRIS/IR system, the essential value of the solution is in providing analytical tools for “research management.” Based on the example of OMEGA-PSIR, the authors have also presented how the researcher-centric approach influences the acceptance rate of the academic community. It is also shown how the researcher-centric approach can take advantage from integrating the conflicting functionalities of IR and CRIS. Practical implications The paper bridges the gap between theory and practice in the area of IIS for academic institutions. It constructively discusses the role of institutional IR and it provides guides how to develop a system combining functionalities of CRIS and IR, as well as how to make IIS more attractive for the users by making the system researcher centric. Originality/value The survey of various approaches to IIS is unique. The research-centric approach and its implementation within OMEGA-PSIR system are original. Lessons learned from deploying the software at the WUT are of great value for institutions planning to install IR/CRIS solutions. A survey research concerning the system usability is provided, showing practical usefulness of the proposed approach.
Purpose The purpose of this paper is to analyse the presence and structure of scientific content in the Spanish version of Wikipedia by applying social networks analysis techniques. Design/methodology/approach Wikipedia articles have hyperlinks that connect them, so it is possible to represent Wikipedia as a network, in which the nodes are the articles and the edges are hyperlinks. The authors use communities detection techniques, in order to identify clusters of articles with similar content and then the authors carry out a manual analysis to detect science articles and identify the most representative scientific fields and their main features. Findings The authors conclude that science articles comprise 11.66 per cent of Spanish Wikipedia articles and that the most important clusters of scientific articles do not always coincide with classical science disciplines. Originality/value As Wikipedia is an open content resource, which is constructed by a community of users, and is widely employed in educational contexts by both students and teachers, this kind of analysis contributes to understanding Wikipedia better as an educational tool.
Purpose The purpose of this paper is to examine the key factors that affect users’ adoption of e-books using an extension of the unified theory of acceptance and use of technology (UTAUT) that includes the following factors: environmental concerns, perceived benefits, and benevolence trust. Design/methodology/approach The authors analyzed survey responses from 343 participants using structural equation modeling to examine the hypothesized relationships in this research model. Findings The results show that users’ adoption of e-books is determined by performance expectancy, effort expectancy, social influence, facilitating conditions, environmental concern, perceived benefit, and benevolence trust. Research limitations/implications The authors restricted this study to consumers’ adoption of e-books. Further studies could examine consumer’s adoption of other mediums, such as cutting-edge information technologies. Practical implications The results suggest that marketers should consider altering their methods of promoting e-books to attract consumers and further affect their usage intention. Originality/value This study proposes and tests an extended UTAUT model that includes the additional factors of environmental concern, perceived benefit, and benevolence trust in order to examine the influence of these factors on e-book adoption. The findings are particularly useful for assisting managers to increase e-book adoption.
Purpose - The purpose of this paper is to demonstrate how knowledge of local research data management (RDM) practices critically informs the progressive development of research data services (RDS) after basic services have already been established. Design/methodology/approach - An online survey was distributed via e-mail to all university faculty in the fall of 2013, and was left open for just over one month. The authors sent two reminder e-mails before closing the survey. Survey data were downloaded from Qualtrics survey software and analyzed in R. Findings - In this paper, the authors reviewed a subset of survey findings that included data types, volume, and storage locations, RDM roles and responsibilities, and metadata practices. The authors found that Oregon State University (OSU) researchers are generating a wide variety of data types, and that practices vary between colleges. The authors discovered that faculty are not utilizing campus-wide storage infrastructure, and are maintaining their own storage servers in surprising numbers. Faculty-level research assistants perform the majority of data-related tasks at OSU, with the exception of data sharing, which is primarily handled by the professorial ranks. The authors found that many faculty on campus are creating metadata, but that there is a need to provide support in how to discover and create standardized metadata. Originality/value - This paper presents a novel example of how to efficiently move from establishing basic RDM services to providing more focussed services that meet specific local needs. It provides an approach for others to follow when tackling the difficult question of, "What next?" with regard to providing academic RDS.
Purpose The purpose of this paper is to use the Twitter Search Network of the Apache NodeXL data discovery tool to extract over 5,000 data from Twitter accounts that twitted, re-twitted or commented on the hashtag, #NigeriaDecides, to gain insight into the impact of the social media on the politics and administration of developing countries. Design/methodology/approach Several algorithms like the Fruchterman-Reingold algorithm, Harel-Koren Fast Multiscale algorithm and the Clauset-Newman-Moore algorithms are used to analyse the social media metrics like betweenness, closeness centralities, etc., and visualize the sociograms. Findings Results from a typical application of this tool, on the Nigeria general election of 2015, show the social media as the major influencer and the contribution of the social media data analytics in predicting trends that may influence developing economies. Practical implications With this type of work, stakeholders can make informed decisions based on predictions that can yield high degree of accuracy as this case. It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics. Social implications Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB. Originality/value The case study the authors took on the Nigeria’s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.