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Updated Wednesday, 15 September 2021

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mona Jami Pour ◽  
Javad Mesrabadi ◽  
Mohammad Asarian

PurposeReviewing the existing literature in the field of e-learning success reveals a considerable number of studies that primarily investigate the causal relationships proposed by the DeLone and McLean (D&M) information system (IS) success model. However, the various relationships in the D&M model have found different levels of support or even contradictory results within the empirical literature. To synthesize the existing knowledge in the field of e-learning success, the authors have conducted a meta-analysis of e-learning success studies using D&M to combine the quantitative results and validate the model in this field. Furthermore, a moderator analysis involving user types was performed to examine the situation under which they may have different effects.Design/methodology/approachFor this purpose, through a systematic review of the studies, 44 independent studies were selected from 29 qualified related journals. In order to analyze the quantitative results of the studies, the meta-analysis of the effect sizes of the casual relationships in the D&M model has been used.FindingsThe findings indicated that all relationships of the model were supported. It was also revealed that the extent of effect sizes of the examined relationships depends on the type of user. Except for one relationship (user satisfaction and net benefit), all effect sizes of employees were more than those of students and teachers.Research limitations/implicationsThis meta-analysis reviewed the relationships found in the literature on D&M constructs in e-learning contexts. This study better explains the e-learning success factors by consolidating contradictory findings in the past researches and contributes to the existing e-learning success literature. The findings can assist educational institutions and organizations in decision-making because the findings resulting from the meta-analysis are more consistent than previous primary researches.Originality/valueDespite the widespread use of the D&M model in the field of e-learning success, no study has yet consolidated the quantitative findings of these studies and the current field abounds in some controversies and inconsistent findings. This paper integrates the results of empirical studies that examined the relationships within the D&M model. The main contribution of this paper, which is the first of its kind, is to apply meta-analysis to reconcile the conflicting findings, investigate the strengths of the relationships in the D&M model and provide a consolidated view.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yonghwan Kim ◽  
Bumsoo Kim

PurposeThis study examines the direct and indirect effect mechanisms of how using smartphones for social media is associated with college students' civic engagement via levels of communication network heterogeneity and social capital. In addition, this study tests whether such indirect effects mechanisms are moderated by the need to belong.Design/methodology/approachThe study analyzes data from an online survey (N = 580) conducted at a public university. The PROCESS macro is used to examine the mediation association between mobile social media use, communication network heterogeneity, social capital, and civic engagement and the moderated mediation conditional upon need to belong.FindingsCollege students who often use smartphones for social media were more likely to communicate with people who have different socio-demographic characteristics and different opinions. There was also a positive mediation mechanism between smartphone use for social media, network heterogeneity, social capital and civic engagement, which means that college students who often use mobile social media are more likely to communicate with heterogeneous others and develop a sense of social capital, which in turn led to greater levels of civic engagement. Importantly, these indirect effects of smartphone use for social media on civic engagement were stronger for those with greater levels of need to belong.Originality/valueThe findings of the current study are significant given that little is known about how young adults' mobile social media use is associated with communication network heterogeneity and civic engagement in their everyday life. The research expands the research agenda by investigating the most popular interactive communication media platforms.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mert Onuralp Gökalp ◽  
Ebru Gökalp ◽  
Kerem Kayabay ◽  
Altan Koçyiğit ◽  
P. Erhan Eren

PurposeThe purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.Design/methodology/approachThis paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.FindingsIt was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.Originality/valueThis paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laura Saraite-Sariene ◽  
Federico Galán-Valdivieso ◽  
Juana Alonso-Cañadas ◽  
Manuela García-Tabuyo

PurposeThe role of female managers has been of increasing interest among scholars in recent years, especially regarding sustainability issues. The same could be said about the usefulness of social media in non-governmental organizations (NGOs) in demonstrating accountability to their stakeholders and attracting and keeping donors and volunteers. This paper aims to meet both research interests by analyzing to what extent women in top positions can foster stakeholders' engagement via social media.Design/methodology/approachOnline engagement can be proxied using data from social media to develop a measure that summarizes the main actions social media users are able to use in order to show their reactions to social media publications. Facebook data were obtained using proprietary software (Facebook data model) developed by the research team to carry out data massive extraction, processing and exploration.FindingsThe results of the multivariate analysis show that female leadership in both top and environmental-specific positions enhance social media engagement, while a higher percentage of women on the board of directors exert the opposite effect.Research limitations/implicationsThis study is not without limitations. First, this research is focused on a specific type of non-governmental organization (environmental NGO). Second, this study does not include economic variables such as donation income or expense structure. Third, data come only from Facebook as the leading social network.Originality/valueThis paper advances in the scarce knowledge about the role of women and the levels of online engagement (interactive conversations) in NGOs focused on sustainability.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asma Alwreikat ◽  
Ahmed Shehata ◽  
Metwaly Ali Mohamed Edakar

PurposeThis study investigates the effect of protection motivation theory (PMT) constructs on Arab women's feelings while seeking information during the COVID-19 pandemic.Design/methodology/approachThe study has adopted a mixed-method approach using semi-structured interviews and a questionnaire to explore PMT constructs' impact on women's feelings while seeking information on COVID-19. Several tests, such as standard deviation, mean, skewness, kurtosis and persons, were used to check the reliability of data and inter-relationships between constructs.FindingsThe study results show a significant positive correlation between PMT constructs (perceived vulnerability, perceived severity, response efficacy, self-efficacy and response cost) with the feelings of Arab women during information seeking on COVID-19. However, the relationship between threat appraisal and feelings during information seeking was more substantial than coping appraisal and feelings during information seeking. The researchers hope that this study creates a baseline of cross-cultural studies on PMT constructs' effect on women's feelings while seeking health information.Research limitations/implicationsThe current study was conducted on female participants only. While the study intended to examine Arab women's feelings during information seeking with PMT's application, the results may be affected by other factors that were not considered in the current study. Furthermore, the questionnaire was distributed in three Arab countries, which means that the results cannot be generalized in other geographical contexts. Therefore, similar studies need to be conducted in larger geographical areas as cultural factors may produce different results.Originality/valueThis study explores women's feelings while seeking COVID-19 information using the PMT constructs. As far as we know, this study is the first study to investigate Arab women's feelings while seeking health information during pandemics. PMT utilization is considered a new approach to discover and measure informational needs and feelings associated with it during pandemics.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gal Yavetz

PurposeSocial media has been widely adopted by politicians and political parties during elections and routine times and has been discussed before. However, research in the field has so far not addressed how a political leader's private or official social media account affects their message, language and style. The current study examined how Israeli Prime Minister Benjamin Netanyahu uses his private Facebook account, compared to his use of his official Facebook page “Prime Minister of Israel.”Design/methodology/approachIn this study, the author identified the differences between these two digital entities using in-depth content analysis based on all posts (N = 1,484) published on the two pages over a 12-month period between 2018 and 2019.FindingsThe study’s findings indicate that Netanyahu regularly uses his personal page to address topics that are not represented on his official page, such as mentioning and attacking political rivals, presenting political agenda, and criticizing Israeli journalists and media organizations. Netanyahu's private Facebook account is also used to comment on personal events such as the criminal indictments he is facing and family affairs.Originality/valueThe findings highlight the need to investigate the different identities that politicians maintain on social media when they use personal or official accounts, sometimes on the same platform. The medium matters, yet the author also discovered that a leader's choice of account and its title are also important.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2021-0004.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pritika Reddy ◽  
Bibhya Sharma ◽  
Kaylash Chaudhary ◽  
'Osaiasi Lolohea ◽  
Robert Tamath

PurposeThe research surveyed the competency of information literacy of senior high school students in Fiji. This is to evaluate the strong predictors of information literacy.Design/methodology/approachThe study adopted a survey research design whereby a five-point Likert scale self-reporting questionnaire was administered to Year 12 and Year 13 secondary school students. The data were analysed using the Statistical Package for the Social Sciences (SPSS) software-descriptive statistics of calculating the mean and standard deviation, a correlation and linear regression analysis to deduce the strong predictors of information literacy.FindingsThe study showed that 81% of the students surveyed were average to above average information literate. The strong predictors of information literacy were the ability of an individual to collaborate and share safely online, the ability to share files securely and the ability to access the credibility of any resource assessed on the digital platform.Research limitations/implicationsThe current study evaluates information literacy of a cohort – stating how information literate the participants are, comprehending the strong predicators of information literacy so that there is an appropriate and effective implementation of interventions for the desired improvements.Practical implicationsThe results can be used to improve information literacy of students at all levels of education in the Fiji Islands.Social implicationsIf the youths are information literate they will be able to effectively contribute towards the development of their economy. Since the work environment today is technology oriented and involves a lot of information, being information literate means knowing how to use the information and differentiate between good and bad information. Hence, contributing effectively towards whatever task is performed.Originality/valueThis research if the first ever research done on evaluating the information literacy of individuals in Fiji.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nushrat Khan ◽  
Mike Thelwall ◽  
Kayvan Kousha

PurposeThe purpose of this study is to explore current practices, challenges and technological needs of different data repositories.Design/methodology/approachAn online survey was designed for data repository managers, and contact information from the re3data, a data repository registry, was collected to disseminate the survey.FindingsIn total, 189 responses were received, including 47% discipline specific and 34% institutional data repositories. A total of 71% of the repositories reporting their software used bespoke technical frameworks, with DSpace, EPrint and Dataverse being commonly used by institutional repositories. Of repository managers, 32% reported tracking secondary data reuse while 50% would like to. Among data reuse metrics, citation counts were considered extremely important by the majority, followed by links to the data from other websites and download counts. Despite their perceived usefulness, repository managers struggle to track dataset citations. Most repository managers support dataset and metadata quality checks via librarians, subject specialists or information professionals. A lack of engagement from users and a lack of human resources are the top two challenges, and outreach is the most common motivator mentioned by repositories across all groups. Ensuring findable, accessible, interoperable and reusable (FAIR) data (49%), providing user support for research (36%) and developing best practices (29%) are the top three priorities for repository managers. The main recommendations for future repository systems are as follows: integration and interoperability between data and systems (30%), better research data management (RDM) tools (19%), tools that allow computation without downloading datasets (16%) and automated systems (16%).Originality/valueThis study identifies the current challenges and needs for improving data repository functionalities and user experiences.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0204


2021 ◽  
Vol 45 (4) ◽  
pp. 853-860
Author(s):  
Lily Hunter ◽  
Sarah A. Buchanan

PurposeThe authors ask the question of how libraries can advocate for themselves and for those who most need the library during the pandemic, and evaluate how the authors adapt to a future of helping underserved and underrepresented populations in new ways after it subsides.Design/methodology/approachUsing data currently being provided by the Center for Disease Control and Prevention (CDC) and other sources, prior issue analyses dealing with library programs and advocacy, and lessons from a few dystopian novels, the authors lay out the political and social implications of the coronavirus on libraries now and in the future.FindingsBecause the coronavirus disease 2019 (COVID-19) pandemic shut down physical library buildings everywhere, forcing extremely slow re-openings and decimating library programs, conversation is building now on how libraries will overcome its massive blow. Underrepresented populations who most need library information (namely, the homeless, Native Americans, Black and Hispanic peoples among others) are suffering disproportionately from the pandemic and its aftereffects that are just beginning to reverberate.Originality/valueThis paper presents a viewpoint backed by lessons from American history, specifically the Civil Rights Movement, and the dystopian novel 1984 by George Orwell. Currently, the conversations around what will happen to libraries are limited, but will hopefully grow as libraries (and the rest of the world) attempt to move forward in an unprecedented situation.


2021 ◽  
Vol 45 (4) ◽  
pp. 653-655
Author(s):  
Eugenia Siapera ◽  
Kalpana Shankar

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