scholarly journals Social Networks and Open Innovation: Business Academic Productivity

2021 ◽  
Vol 7 (2) ◽  
pp. 158
Author(s):  
Eva M. Sánchez-Teba ◽  
Mercedes Rodríguez-Fernández ◽  
Ana I. Gaspar-González
Keyword(s):  
Technology Acceptance ◽  
Open Innovation ◽  
Network Effects ◽  
Information Science ◽  
Web Of Science ◽  
Google Scholar ◽  
Academic Productivity ◽  
Business And Society ◽  
Empirical Level ◽  
Acceptance Model

Is there any type of relationship between the academic productivity of business researchers and their social networking activity? What does this mean in terms of open innovation? With these objectives, in this paper we have focused on the Technology Acceptance Model and the concept of performativity, filling the gap that exists in the current scientific literature. At the empirical level, we carried out a review of 211 articles from the Web of Science (SSCI), obtaining a total set of 12,939 data points. Our statistical model has showed a clear symbiotic relationship between productivity in Google Scholar and presence in ResearchGate. Furthermore, researchers with a greater presence on LinkedIn or Twitter have low Google Scholar or Web of Science h-indices. We concluded that there is currently a dissociation between academic and professional online networks, something that does not help the applicability of research in business and society, the enduring aim of any search for knowledge. Information Science can play an important role in helping to bridge the gap between academia and the real world. Furthermore, in order to contribute to enhancing the role of universities in open innovation practices, it is essential to design and implement new tools such as online communities that stimulate interaction and facilitate network effects.

scholarly journals Graduate Students Report Strong Acceptance and Loyal Usage of Google Scholar

2012 ◽  
Vol 7 (4) ◽  
pp. 96 ◽  
Author(s):  
Lisa Shen
Keyword(s):  
Graduate Students ◽  
Technology Acceptance ◽  
Google Scholar ◽  
University Of Minnesota ◽  
Contributing Factors ◽  
Web Based ◽  
Tam Model ◽  
Acceptance Model ◽  
Strongly Agree ◽  
The University

Objective – To determine the frequency of graduate students’ Google Scholar usage, and the contributing factors to their adoption. The researchers also aimed to examine whether the Technology Acceptance Model (TAM) is applicable to graduate students’ acceptance of Google Scholar. Design – Web-based survey questionnaire. Setting – The survey was conducted over the internet through email invitations. Subjects – 1,114 graduate students enrolled at the Twin Cities campus of the University of Minnesota. Methods – 9,998 graduate students were invited via email to participate in a study about their perceptions of Google Scholar in the fall of 2009. A follow-up email and a raffle of two $25 gift certificates were used to provide participation incentive. The survey measurements, which consisted of 53 items in 15 questions, were based on modifications to the validated TAM using measurements adopted by other studies using the same instrument. Each item was scored using five-point scales ranging from 1 (“strongly disagree”) to 5 (“strongly agree”). Because the TAM model is based on direct user experience, only responses from those who have used Google Scholar in the past were included in the data analysis. Main Results – The survey had a response rate of 11.4%, with 73% of the respondents reporting having used Google Scholar at least once before. However, only 45% of those who had used Google Scholar reported linking to full text articles through the customized library link “frequently or always.” On average, respondents found Google Scholar easy to use (M=4.09 out of 5) and access (M=3.86). They also perceived Google Scholar as a useful resource for their research (M=3.98), which enhanced their searching effectiveness (M=3.89). However, respondents were less enthusiastic when asked whether they often found what they were looking for using Google Scholar (M=3.33) or whether it had enough resources for their research (M=3.14). Nonetheless, most still felt they made the correct decision to use Google Scholar (M=3.94), even if their loyalty towards Google Scholar was limited (M=3.23). The researcher categorized survey measurements into 9 TAM-based variables and performed regression analysis (all with p

Why do students use What’s App? – an exploratory study

2015 ◽  
Vol 67 (2) ◽  
pp. 136-158 ◽  
Author(s):  
Noa Aharony
Keyword(s):  
New Media ◽  
Technology Acceptance ◽  
Big Five ◽  
Information Science ◽  
Content Type ◽  
Big Five Model ◽  
Technological Platform ◽  
Acceptance Model ◽  
Mobile Messaging Service ◽  
Students Satisfaction

Purpose – This study focusses on What’s App, a mobile messaging service for smartphones, that was founded in 2009. The purpose of this study is to explore which factors may influence students’ satisfaction and duration of time, spent on What’s App. Design/methodology/approach – In order to answer this question it uses the Uses and Gratifications (U&G) approach (Katz, 1959), as well as the Big Five model (Costa and McCrae, 1992), and the Technology Acceptance Model (TAM) (Davis, 1989). The research was conducted in Israel and encompassed 111 information science (IS) students. Researchers used six questionnaires to gather data. Findings – The findings of this study shed light on a new technological platform: What’s App that has rarely been examined to date, and expands the U&G perspectives to new media. Findings confirm that the U&G paradigm, as well as personality characteristics and perceived enjoyment, effect What’s App satisfaction and duration, and highlight the importance of both the U&G approach and individual differences when exploring motivations underlying What’s App use. Originality/value – This study proposes a theoretical framework by combining the U&G approach, constructs from the “Big Five” model, and one variable from the TAM, to investigate the attitudes of What’s App users, and propose possible factors that may explain why certain individuals use What’s App.

Coverage of academic citation databases compared with coverage of scientific social media

2015 ◽  
Vol 39 (2) ◽  
pp. 255-264 ◽  
Author(s):  
Fee Hilbert ◽  
Julia Barth ◽  
Julia Gremm ◽  
Daniel Gros ◽  
Jessica Haiter ◽  
...  
Keyword(s):  
Social Media ◽  
Information Science ◽  
Web Of Science ◽  
Information Services ◽  
Google Scholar ◽  
Content Type ◽  
Calibration Parameter ◽  
German Speaking ◽  
Citation Databases ◽  
Practical Implications

Purpose – The purpose of this paper is to show how the coverage of publications is represented in information services. Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, BibSonomy) were analyzed by applying a new method: the use of personal publication lists of scientists. Design/methodology/approach – Personal publication lists of scientists of the field of information science were analyzed. All data were taken in collaboration with the scientists in order to guarantee complete publication lists. Findings – The demonstrated calibration parameter shows the coverage of information services in the field of information science. None of the investigated databases reached a coverage of 100 percent. However Google Scholar covers a greater amount of publications than other academic citation databases and scientific social media. Research limitations/implications – Results were limited to the publications of scientists working at an information science department from 2003 to 2012 at German-speaking universities. Practical implications – Scientists of the field of information science are encouraged to review their publication strategy in case of quality and quantity. Originality/value – The paper confirms the usefulness of personal publication lists as a calibration parameter for measuring coverage of information services.

Impact Analysis of Intranets and Portals on Organizational Capital

2007 ◽  
pp. 215-230
Author(s):  
R. Baroni de Carvalho ◽  
M. Ferreira
Keyword(s):  
Technology Acceptance ◽  
Intellectual Capital ◽  
Impact Analysis ◽  
Information Science ◽  
Organizational Capital ◽  
Organization Model ◽  
Classical Information ◽  
Theoretical Support ◽  
Task Technology Fit ◽  
Acceptance Model

This chapter analyzes the impacts of intranet quality on organizational capital practices. The chapter describes a research model empirically tested in 98 large Brazilian organizations. The variables proposed by the TAM (technology acceptance model) (Venkatesh & Davis, 2000) and the TTF (task technology fit) (Goodhue & Thompson, 1995) were converted into portal’s context, emphasizing the importance of leveraging classical information science and information system studies to understand better the portal phenomenon. Furthermore, the knowing organization model (Choo, 1998) was applied in order to offer a theoretical support for the intellectual capital-based variables. The results give evidence that the portal quality has more influence on knowledge creation than on sense-making and decision-making. The chapter reinforces the usage of the Knowing Organization model as a framework to understand intellectual capital and knowledge management initiatives.

scholarly journals Personal Publications Lists Serve as a Reliable Calibration Parameter to Compare Coverage in Academic Citation Databases with Scientific Social Media

2017 ◽  
Vol 12 (1) ◽  
pp. 125 ◽  
Author(s):  
Emma Hughes
Keyword(s):  
Social Media ◽  
Information Science ◽  
Web Of Science ◽  
Google Scholar ◽  
Online Information ◽  
Calibration Parameter ◽  
German Speaking ◽  
Coverage Rates ◽  
Citation Databases ◽  
Calibration Parameters

A Review of: Hilbert, F., Barth, J., Gremm, J., Gros, D., Haiter, J., Henkel, M., Reinhardt, W., & Stock, W.G. (2015). Coverage of academic citation databases compared with coverage of scientific social media: personal publication lists as calibration parameters. Online Information Review 39(2): 255-264. http://dx.doi.org/10.1108/OIR-07-2014-0159 Abstract Objective – The purpose of this study was to explore coverage rates of information science publications in academic citation databases and scientific social media using a new method of personal publication lists as a calibration parameter. The research questions were: How many publications are covered in different databases, which has the best coverage, and what institutions are represented and how does the language of the publication play a role? Design – Bibliometric analysis. Setting – Academic citation databases (Web of Science, Scopus, Google Scholar) and scientific social media (Mendeley, CiteULike, Bibsonomy). Subjects – 1,017 library and information science publications produced by 76 information scientists at 5 German-speaking universities in Germany and Austria. Methods – Only documents which were published between 1 January 2003 and 31 December 2012 were included. In that time the 76 information scientists had produced 1,017 documents. The information scientists confirmed that their publication lists were complete and these served as the calibration parameter for the study. The citations from the publication lists were searched in three academic databases: Google Scholar, Web of Science (WoS), and Scopus; as well as three social media citation sites: Mendeley, CiteULike, and BibSonomy and the results were compared. The publications were searched for by author name and words from the title. Main results – None of the databases investigated had 100% coverage. In the academic databases, Google Scholar had the highest amount of coverage with an average of 63%, Scopus an average of 31%, and lowest was WoS with an average of 15%. On social media sites, Bibsonomy had the highest coverage with an average of 24%, Mendeley had an average coverage of 19%, and the lowest coverage was CiteULike with an average of 8%. Conclusion – The use of personal publication lists are reliable calibration parameters to compare coverage of information scientists in academic citation databases with scientific social media. Academic citation databases had a higher coverage of publications, in particular, Google Scholar, compared to scientific social media sites. The authors recommend that information scientists personally publish work on social media citation databases to increase exposure. Formulating a publication strategy may be useful to identify journals with the most exposure in academic citation databases. Individuals should be encouraged to keep personal publication lists and these can be used as calibration parameters as a measure of coverage in the future.

scholarly journals Practicing What You Preach: Evaluating Access of Open Access Research

2017 ◽  
Author(s):  
Teresa Schultz
Keyword(s):  
Open Access ◽  
Information Science ◽  
Web Of Science ◽  
Library Science ◽  
Google Scholar ◽  
Research Articles ◽  
Library And Information Science ◽  
Creative Commons ◽  
Copyright Ownership ◽  
Published Research

The open access movement seeks to encourage all researchers to make their works openly available and free of paywalls so more people can access their knowledge. Yet some researchers who study open access (OA) continue to publish their work in paywalled journals and fail to make it open. This project set out to study just how many published research articles about OA fall into this category, how many are being made open (whether by being published in a gold OA or hybrid journal or through open deposit), and how library and information science authors compare to other disciplines researching this field. Because of the growth of tools available to help researchers find open versions of articles, this study also sought to compare how these new tools compare to Google Scholar in their ability to disseminating OA research. From a sample collected from Web of Science of articles published since 2010, the study found that although a majority of research articles about OA are open in some form, a little more than a quarter are not. A smaller rate of library science researchers made their work open compared to non-library science researchers. In looking at the copyright of these articles published in hybrid and open journals, authors were more likely to retain copyright ownership if they printed in an open journal compared to authors in hybrid journals. Articles were more likely to be published with a Creative Commons license if published in an open journal compared to those published in hybrid journals.

scholarly journals Architektura informacji w piśmiennictwie zagranicznym 1982–2018. Analiza ilościowa

2018 ◽  
Vol 56 (2(112)) ◽  
pp. 88-111
Author(s):  
Anna Matysek
Keyword(s):  
Information Science ◽  
Web Of Science ◽  
Google Scholar ◽  
Library And Information Science ◽  
Google Books

Cel/Teza: Celem artykułu jest przedstawienie procesu kształtowania się zainteresowania problematyką architektury informacji w światowym piśmiennictwie.Koncepcja/Metody badań: Rozwój literatury dotyczącej architektury informacji przebadano na podstawie analizy bibliometrycznej piśmiennictwa zagranicznego na ten temat, opublikowanego do końca 2018 r. Piśmiennictwo to zostało zidentyfikowane na podstawie baz Scopus, Web of Science i Library and Information Science Abstract oraz serwisów Google Scholar, Google Books i księgarni Amazon. Analizę ilościową rozkładu chronologicznego i tematycznego piśmiennictwa uzupełnia wskazanie najważniejszych autorów, książek i czasopism, a także najczęściej cytowanych publikacji.Wyniki i wnioski: Zidentyfikowano 2269 publikacji dotyczących problematyki architektury informacji o bardzo zróżnicowanej tematyce, przede wszystkim z zakresu systemów informacyjnych i nauki o informacji. Wyniki analizy wskazują, że zainteresowanie różnymi aspektami architektury informacji zwiększa się nieprzerwanie od 2000 r., co zostało potwierdzone rosnącą liczbą publikacji i ich cytowań.Oryginalność/Wartość poznawcza: W polskim piśmiennictwie nie podejmowano dotychczas próby analizy literatury z zakresu architektury informacji. Artykuł może być punktem wyjścia do pogłębionej analizy tematycznej oraz stanowić materiał porównawczy dla podobnych badań.

scholarly journals The impact of open access citation and social media on leading top Information Science journals

2018 ◽  
Vol 32 (77) ◽  
pp. 117 ◽  
Author(s):  
Paulo Roberto Cintra ◽  
Ariadne Chloe Furnival ◽  
Douglas Henrique Milanez
Keyword(s):  
Social Media ◽  
Open Access ◽  
Information Science ◽  
Web Of Science ◽  
Google Scholar ◽  
Redes Sociales ◽  
Journal Citation Reports ◽  
Acceso Abierto ◽  
The Impact ◽  
Journal Citation

El objetivo de esta investigación fue verificar las posibles ventajas que el acceso abierto puede ofrecer al área de la Ciencia de la Información. Para ello, se analizaron los indicadores bibliométricos de citas y los datos de altmetría en 16 revistas científicas híbridas, seleccionadas mediante el Journal Citation Reports y filtradas con base en sus respectivos factores de impacto. La recolección de datos fue realizada en Web of Science, Google Scholar, Altmetric.com y Mendeley. Esta verificación se realizó en dos periodos de tiempo diferentes para examinar si hubo alguna influencia del acceso abierto en el tiempo. Los resultados indican que el acceso abierto puede ofrecer una ventaja en el número de citas y menciones en las redes sociales para el conjunto de artículos de las revistas analizadas aquí, y que esta ventaja es mayor para los casos en que los autores pagaron el cargo por procesamiento del artículo a garantizar la disponibilidad inmediata del artículo en acceso abierto al momento de la publicación. En la conclusión se afirma que no es sólo el acceso abierto el que provoca una mayor cantidad de citas a un artículo, aunque ayuda, sino la calidad del propio artículo.

TOWARDS EXTENDING THE ORIGINAL TECHNOLOGY ACCEPTANCE MODEL (TAM) FOR A BETTER UNDERSTANDING OF EDUCATIONAL TECHNOLOGY ADOPTION

2019 ◽  
Vol 5 ◽  
pp. 525
Author(s):  
Vilma Sukackė
Keyword(s):  
Educational Technology ◽  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Web Of Science ◽  
Specific Context ◽  
External Variables ◽  
Educational Sciences ◽  
Acceptance Model ◽  
The Web

Technology acceptance model (TAM) is arguably the most widely used intention theory that explains the individual’s acceptance of a certain technology.  Since Davis introduced TAM in 1986, it has been applied and validated in a variety of disciplines, including educational sciences. However, scholars note that depending on a specific context, the original TAM needs to be extended, which has been done by introducing external variables and other theories. Despite the existent TAM2 and TAM3, numerous scholars still opt for the original TAM, extending it with the variables and theories that are relevant to the specific context of their study. The aim of the present paper is to provide an overview of validated TAM extensions, which might later help to further the understanding of educational technology acceptance, which is a prerequisite of its adoption. Since interdisciplinarity in various contexts is becoming more and more common, the overview presents TAM extensions that come from a number of different disciplines. The overview is based on 108 papers that were retrieved from the Web of Science (Clarivate Analytics) by searching for the keywords ‘extended Technology Acceptance Model’, ‘extended TAM’, and ‘TAM extension’. 

scholarly journals The Way of Expanding Technology Acceptance—Open Innovation Dynamics

2020 ◽  
Vol 6 (1) ◽  
pp. 8
Author(s):  
Ma. Nanette Casquejo ◽  
Celbert Himang ◽  
Lanndon Ocampo ◽  
Rosein Ancheta ◽  
Melanie Himang ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Open Innovation ◽  
Electrical Energy ◽  
The Philippines ◽  
Electrical Energy Consumption ◽  
Innovation Dynamics ◽  
Expected Benefits ◽  
Acceptance Model ◽  
And Control

To promote efficient use of electrical energy, technology-based solutions, along with their corresponding user acceptance assessments, have been seen to facilitate goal fulfillment concerning desired functionality and expected benefits, in an open innovation fashion. This paper simultaneously develops an electrical energy consumption monitoring system (EECMS) device that shall monitor and control the use of energy in real-time and assesses its acceptability to users according to the extended technology acceptance model (TAM) approach. This proposed EECMS device is tested in an academic institution in the Philippines, and it is found that the device can function as desired as well as render a significant favor from its users according to additional key constructs. As such, future developments of the device are encouraged to enhance key constructs identified as suitable for future adoption.

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