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Research on online user privacy shows that empirical evidence on how privacy literacy relates to users' information privacy empowerment is missing. To fill this gap, this paper investigated the respective influence of two primary dimensions of online privacy literacy – namely declarative and procedural knowledge – on online users' information privacy empowerment.

An empirical analysis is conducted using a dataset collected in Europe. This survey was conducted in 2019 among 27,524 representative respondents of the European population.

The main results show that users' procedural knowledge is positively linked to users' privacy empowerment. The relationship between users' declarative knowledge and users' privacy empowerment is partially supported. While greater awareness about firms and organizations practices in terms of data collections and further uses conditions was found to be significantly associated with increased users' privacy empowerment, unpredictably, results revealed that the awareness about the GDPR and user’s privacy empowerment are negatively associated. The empirical findings reveal also that greater online privacy literacy is associated with heightened users' information privacy empowerment.

While few advanced studies made systematic efforts to measure changes occurred on websites since the GDPR enforcement, it remains unclear, however, how individuals perceive, understand and apply the GDPR rights/guarantees and their likelihood to strengthen users' information privacy control. Therefore, this paper contributes empirically to understanding how online users' privacy literacy shaped by both users' declarative and procedural knowledge is likely to affect users' information privacy empowerment. The study empirically investigates the effectiveness of the GDPR in raising users' information privacy empowerment from user-based perspective. Results stress the importance of greater transparency of data tracking and processing decisions made by online businesses and services to strengthen users' control over information privacy. Study findings also put emphasis on the crucial need for more educational efforts to raise users' awareness about the GDPR rights/guarantees related to data protection. Empirical findings also show that users who are more likely to adopt self-protective approaches to reinforce personal data privacy are more likely to perceive greater control over personal data. A broad implication of this finding for practitioners and E-businesses stresses the need for empowering users with adequate privacy protection tools to ensure more confidential transactions.

In today’s digital world, data-driven digital artefacts pose challenges for education, as many students lack an understanding of data and feel powerless when interacting with them. This paper aims to address these challenges and introduces the data awareness framework. It focuses on understanding data-driven technologies and reflecting on the role of data in everyday life. The paper also presents an empirical study on young school students’ data awareness.

The study involves a teaching unit on data awareness framed by a pre- and post-test design using a questionnaire on students’ awareness and understanding of and reflection on data practices of data-driven digital artefacts.

The study’s findings indicate that the data awareness framework supports students in understanding data practices of data-driven digital artefacts. The findings also suggest that the framework encourages students to reflect on these data practices and think about their daily behaviour.

Students learn a model about interactions with data-driven digital artefacts and use it to analyse data-driven applications. This approach appears to enable students to understand these artefacts from everyday life and reflect on these interactions. The work contributes to research on data and artificial intelligence literacies and suggests a way to support students in developing self-determination and agency during interactions with data-driven digital artefacts.

Over the past decade, governments around the world have implemented open government data (OGD) policies to make their data publicly available, with collaboration and citizen engagement being one of the main goals. However, even though a lot of data is published, only a few citizens are aware of its existence and usefulness. The purpose of this paper is to identify the requirements for an application that raises awareness of Open Government Data (OGD) to citizens.

This study followed a design research science approach to collect citizens’ requirements for the design of such an application through interviews with 10 citizens and evaluated through user testing with 25 citizens.

This study identified and validated 11 requirements that can be implemented to raise citizens’ awareness of OGD. The most useful are listing OGD reuses with information about data used and receiving notification when a new OGD reuse is released. Furthermore, the evaluation results provided evidence of the effectiveness of using an application to improve OGD awareness to citizens.

This research provides requirements that can be used by developers to implement a usable tool to raise citizen awareness or by researchers to evaluate applications whose objective is to raise citizen awareness. Finally, it provides a mobile application that can used by developers to showcase their OGD reuses or by researchers to aware citizens of OGD through real-world examples.

This study aims to ascertain the impact of data collecting awareness on perceived information security concerns and information-sharing behavior on social networking sites.

Based on communication privacy management theory, the study forecasted the relationship between information-sharing behavior and awareness of data collecting purposes, data collection tactics and perceived security risk using structural equation modeling analysis and one-way ANOVA. The sample size of 521 young social media users in Vietnam, ages 18 to 34, was made up of 26.7% men and 73.3% women. When constructing the questionnaire survey method with lone source respondents, the individual’s unique awareness and experiences with using online social networks (OSNs) were taken into account.

The results of the investigation demonstrate a significant relationship between information-sharing and awareness of data collecting, perceptions of information security threats and behavior. Social media users have used OSN privacy settings and paid attention to the sharing restriction because they are concerned about data harvesting.

This study was conducted among young Vietnamese social media users, reflecting specific characteristics prevalent in the Vietnamese environment, and hence may be invalid in other nations’ circumstances.

Social media platform providers should improve user connectivity by implementing transparent privacy policies that allow users to choose how their data are used; have clear privacy statements and specific policies governing the use of social media users’ data that respect users’ consent to use their data; and thoroughly communicate how they collect and use user data while promptly detecting any potential vulnerabilities within their systems.

The authors ascertain that the material presented in this manuscript will not infringe upon any statutory copyright and that the manuscript will not be submitted elsewhere while under Journal of Information, Communication and Ethics in Society review.

The concept of research data management (RDM) is new in Zimbabwe and other developing countries. Research institutions are developing research data repositories and promoting the archiving of research data. As a way of creating awareness to researchers on RDM, the purpose of this paper is to determine how researchers are managing their research data and whether they are aware of the developments that are taking place in RDM.

A survey using a mixed method approach was done and an online questionnaire was administered to 100 researchers in thirty research institutions in Zimbabwe. Purposive sampling was done by choosing participants from the authors of articles published in journals indexed by Google Scholar, Scopus and Web of Science. Interviews were done with five top researchers. The data was analysed using NVIVO. The results were presented thematically. The questionnaire was distributed using the research offices of the selected 30 research institutions. There was a 75% response rate.

The findings indicated that all the researchers are aware of the traditional way of managing research data. A total of 70% of the respondents are not aware of the current trends in RDM services, as they are keeping their data on machines and external hard drives, while 97.3% perceive RDM services as useful, as it is now a requirement when applying for research grants. Librarians have a bigger role to play in creating awareness on RDM among researchers and hosting the data repositories for archiving research data.

Research institutions can invest in research data services and develop data repositories. Librarians will participate in educating researchers to come up with data management plans before they embark on a research project. This study also helps to showcase the strategies that can be used in awareness creation campaigns. The findings can also be used in teaching RDM in library schools and influence public policy both at institutional and national level.

This study will assist in building capacity among stakeholders about RDM. Based on the findings, research institutions should prioritise research data services to develop skills and knowledge among librarians and researchers.

Few researches on RDM practices in Zimbabwe were done previously. Most of the papers that were published document the perception of librarians towards RDM, but this study focused mainly on researchers’ awareness and perception. The subject is still new and people are beginning to research on it and create awareness amongst the stakeholders in Zimbabwe.

Online privacy pertains to an individual’s capacity to regulate and oversee the gathering and distribution of online information. Conversely, online privacy concern (OPC) pertains to the protection of personal information, along with the worries or convictions concerning potential risks and unfavorable outcomes associated with its collection, utilization and distribution. With a holistic approach to these relationships, this study aims to model the relationships between digital literacy (DL), digital data security awareness (DDSA) and OPC and how these relationships vary by gender.

The participants of this study are 2,835 university students. Data collection tools in the study consist of personal information form and three different scales. Partial least squares (PLS), structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the framework determined in the context of the research purpose and to validate the proposed hypotheses.

DL has a direct and positive effect on digital data security awareness (DDSA), and DDSA has a positive effect on OPC. According to the MGA results, the hypothesis put forward in both male and female sub-samples was supported. The effect of DDSA on OPC is higher for males.

This study highlights the positive role of DL and perception of data security on OPC. In addition, MGA findings by gender reveal some differences between men and women.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2023-0122

This study aims to investigate the factors determining the readiness for uptake of open data (OD) in Tanzania. Specifically, this study intended to answer the question that sought to find out the factors that influence the implementation of OD in universities under study in a view to aligning with recommended strategies for optimizing the use of data in the open science era.

This study used a cross-sectional survey design whereby data were collected using quantitative and qualitative research approaches. A sample size of 212 respondents was drawn from the sampling frame of a population of 1,846 researchers from the participating universities using both probability and nonprobability sampling techniques. A self-administered questionnaire was used to collect data from researchers while interviews were administered to decision-makers. These two groups were believed to have the necessary knowledge for this study.

The findings indicate low or lack of skills and awareness on issues related to OD among researchers and decision-makers. This study also reveals inadequate infrastructure to support open science initiatives including OD. Moreover, this study shows a lack of supportive institutional strategies and policies that trigger the implementation of OD initiatives in Tanzania. This study recommends that universities should uplift the level of confidence of researchers by ensuring all necessary factors determining the uptake of OD are in place before and during the implementation of OD initiatives.

This study was conducted during the time when researchers in universities are in an infant stage of adopting the concept from the developed world. In this regard, it is important to carry out a tracer study on establishing the OD phenomena after a number of universities have implemented OD initiatives in the country.

The researchers recommend the establishment of institutional policy and strategies to guide the implementation of OD among universities in Tanzania. Including awareness creation awareness through providing training among researchers and academics in universities. The results shed light to decision-makers on the understanding of the role of sharing research data in enhancing openness and validation of findings to increase the authenticity of results among researchers.

The authors have revealed the factors affecting the implementation of OD among scholars in universities. This study reveals the level of acceptance of OD initiatives and the factors that could trigger adoption of OD.

This paper presents factors that determine the readiness for the uptake of OD in universities in Tanzania from the researcher’s perspective. This study was conducted to fill the knowledge gap that sought to establish understanding of researchers about OD. The gap was established through literature and it was found that none of the presented studies researched on this phenomenon in Tanzania.

This study aims to investigate the development of adolescents’ advertising literacy and privacy protection strategies in the context of targeted advertisements on social networking sites (SNSs).

A survey was conducted among 374 adolescents between 12 and 17 years of age, and 469 young adults (18–25 years) served as a comparative benchmark.

Results indicate that advertising literacy increases progressively throughout adolescence, and reaches adult-like levels only by the age of 16. In addition, adolescents have an inadequate awareness of commercial data collection practices. This awareness slowly increases as a function of their age until it reaches an adult level around the age of 20. Finally, findings reveal that adolescents take little action to cope with targeted advertisements by means of privacy protection strategies.

This paper devotes much attention to the formulation of specific recommendations for EU policymakers and regulatory bodies. In addition, it also holds implications for advertisers (e.g. the need for more in-depth data protection impact assessments), social media providers (e.g. adolescent-friendly privacy policy) and social caretakers (e.g. achieving advertising literacy and privacy education).

This paper fulfills the need to investigate adolescents’ advertising literacy and privacy-protective behaviors on SNSs, and, in turn, directly translates these insights into recommendations that can underpin the rationale of regulatory or policy decisions on a European level.

The purpose of this paper is to explore the workload and shared workload awareness in a staff performing command and control (C2) work during a planned major incident (MI) empirical case in Sweden.

Data on workload and shared awareness were collected during live C2-work using qualitative observations and in-situ interviews mixed with quantitative questionnaires.

A content analysis of the qualitative data revealed categories of workload sources. Quantified workload estimates showed changes in workload levels over time and staff roles, which were also contextualized using the results of the qualitative data. Data on shared awareness indicated that team workload awareness shifted over time according to common patterns. This study demonstrates a promising methodology to study C2-related factors during live EMS work.

The observed variations in workload imply that research that relies only on post-task measurements of workload may be inaccurate. Future research could use this method to investigate the connection between workload and performance during different types of MIs.

The results can be used to inform future Göteborgsvarvet C2-teams in terms of when, why, and for whom task load changes, which would support predictive allocation of resources.

The purpose of this study is to gauge the awareness and perception of Indian individual investors about a new fintech innovation known as robo-advisors in the wealth management scenario. Robo-advisors are comprehensive automated online advisory platforms that help investors in managing wealth by recommending portfolio allocations, which are based on certain algorithms.

This is a phenomenological qualitative study that used five focussed group discussions to gather the stipulated information. Purposive sampling was used and the sample comprised investors who actively invest in the Indian stock market. A semi-structured questionnaire and homogeneous discussions were used for this study. Discussion time for all the groups was 203 min. One of the authors moderated the discussions and translated the audio recordings verbatim. Subsequently, content analysis was carried out by using the NVIVO 12 software (QSR International) to derive different themes.

Factors such as cost-effectiveness, trust, data security, behavioural biases and sentiments of the investors were observed as crucial points which significantly impacted the perception of the investors. Furthermore, several suggestions on different ways to enhance the awareness levels of investors were brought up by the participants during the discussions. It was observed that some investors perceive robo-advisors as only an alternative for fund/wealth managers/brokers for quantitative analysis. Also, they strongly believe that human intervention is necessary to gauge the emotions of the investors. Hence, at present, robo-advisors for the Indian stock market, act only as a supplementary service rather than a substitute for financial advisors.

Due to the explorative nature of the study and limited participants, the findings of the study cannot be generalised to the overall population. Future research is imperative to study the dynamic nature of artificial intelligence (AI) theories and investigate whether they are able to capture the sentiments of individual investors and human sentiments impacting the market.

This study gives an insight into the awareness, perception and opinion of the investors about robo-advisory services. From a managerial perspective, the findings suggest that additional attention needs to be devoted to the adoption and inculcation of AI and machine learning theories while building algorithms or logic to come up with effective models. Many investors expressed discontent with the current design of risk profiles of the investors. This helps to provide feedback for developers and designers of robo-advisors to include advanced and detailed programming to be able to do risk profiling in a more comprehensive and precise manner.

In the future, robo-advisors will change the wealth management scenario. It is well-established that data is the new oil for all businesses in the present times. Technologies such as robo-advisor, need to evolve further in terms of predicting unstructured data, improvising qualitative analysis techniques to include the ability to gauge emotions of investors and markets in real-time. Additionally, the behavioural biases of both the programmers and the investors need to be taken care of simultaneously while designing these automated decision support systems.

This study fulfils an identified gap in the literature regarding the investors’ perception of new fintech innovation, that is, robo-advisors. It also clarifies the confusion about the awareness level of robo-advisors amongst Indian individual investors by examining their attitudes and by suggesting innovations for future research. To the best of the authors’ knowledge, this study is the first to investigate the awareness, perception and attitudes of individual investors towards robo-advisors.